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+0,2024-10-31,Indianapolis,Indiana,Upper Hand,https://upperhand.com,"Upper Hand is the leading provider of full-suite sports management software that enable businesses to achieve more while doing less.
+
+Sports facilities, training academies, and businesses - from small enterprises to large franchises - use Upper Hand’s integrated software and payments platform to operate their business more efficiently, increase customer satisfaction, and leverage real-time data for better decision-making. 
+
+Its product suite includes features to manage client booking and registration, memberships, staff and facility scheduling, retail, video analysis, and more. For more information on how Upper Hand is reinventing the way business is done in sports and fitness, visit upperhand.com.","OverviewUpper Hand is embarking on an exciting journey to harness the power of machine learning, data science, and AI to enhance sports training and management, and we’re looking for an energetic and talented Machine Learning Engineer and Data Scientist to join our AI Data Science Team. As part of our team, you will be instrumental in building and deploying machine learning models while ensuring they align with real business use cases. You will also leverage your expertise in data science to develop data-driven insights and optimize AI-driven initiatives. This role is ideal for someone who thrives in a fast-paced, collaborative environment, loves solving real-world problems through machine learning, and has a passion for communication and presenting solutions.What You’ll DoBuild, deploy, and maintain scalable machine learning models that solve key business challenges.Work closely with external clients and internal cross-functional teams to translate business needs into machine learning solutions.Collaborate on model deployment and monitoring, ensuring performance and accuracy over time.Develop data pipelines and workflows to ensure data accessibility and readiness for model training.Use data science techniques to extract insights, improve predictions, and drive business decision-making.Create impactful presentations to communicate model results and recommendations to both technical and non-technical audiences.Support continuous improvement by researching and integrating the latest machine learning tools, algorithms, and frameworks.Collaborate with product managers, data engineers, and stakeholders to align machine learning solutions with strategic goals.Who You AreYou’re passionate about machine learning, data science, and using technology to solve complex problems.You have experience building, deploying, and monitoring machine learning models in real-world applications.You possess strong analytical skills with a solid foundation in data science and business intelligence.You are proficient in Python, R, PyTorch, or similar frameworks for model building and deployment.You have experience with data wrangling, feature engineering, and large datasets, using tools such as SQL, pandas, or Spark.You are skilled in cloud platforms such as Databricks, AWS, GCP, or Azure for deploying machine learning models.You enjoy presenting your ideas and solutions to diverse audiences and are excellent at communicating complex technical concepts.You thrive in a collaborative environment, working with A-players to push the boundaries of what’s possible.Education in Data Science, Computer Science / Engineering, Statistics, or related fields is preferred.Bonus: Experience or interest in sports technology and leveraging AI for athletic performance.What Else?Competitive base compensation.Performance-based bonus.Equity/options potential.Comprehensive benefits package, including medical, dental, and vision insurance, and 401kCollaborative workspace with unlimited coffee and healthy snacks.A dynamic, innovative team committed to excellence and pushing the envelope in AI-driven sports solutions.Ready to Apply?If you are excited by the opportunity to build cutting-edge machine learning models and apply your data science expertise in a dynamic sports technology environment, we’d love to hear from you. Join Upper Hand and make a real impact on the future of sports training and management.Let’s achieve greatness together – apply today!",Internship,Internship - Machine Learning Engineer & Data Science
+1,2025-03-14,San Francisco,California,Ikigai,https://www.ikigailabs.io,"Built upon years of MIT research, Ikigai is a generative AI platform for tabular and time series data. It helps operational teams make faster, better decisions under uncertainty and works with any data: structured or unstructured, clean or dirty, small or big. 
+
+Unlock the power of AI within a few clicks to:
+ 
+- Prep your data with aiMatch
+- Predict with aiCast
+- Do scenario analysis with aiPlan. ","Company DescriptionThe Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale.With a combination of enterprise expertise and deep research in the field of AI, Ikigai Labs helps scale enterprises with AI by solving data engineering and modeling problems for business users and data scientists alike. Our unique ability to unlock value in tabular and time series data through AI-powered data harmonization, forecasting, dynamic learning and planning, is our Ikigai, our purpose in the world of AI.As an AI/ML Engineer at Ikigai Labs, you will be part of a high-performing team responsible for optimizing and deploying ML solutions to maximize performance and scalability. We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in collaborative problem-solving.Key Responsibilities:ML Optimization and Deployment:Develop and deploy machine learning models for optimal performance and scalabilityProductivity Tools Development:Build tools and services to enhance the ML platform, utilizing technologies like Kubernetes, Helm, and EKSModel Architecture:Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc.) to solve complex problemsResearch Adaptation:Stay abreast of recent ML and deep learning literature and adapt findings to real-world applicationsCollaborative Development:Work with cross-functional teams to integrate AI and ML solutions that drive business valueData Handling:Manage large datasets and build ML pipelines for data processing and trainingETL/ELT Processes:Design and develop scalable data integration processesPredictive Modeling Platform:Develop an on-demand predictive modeling platform using gRPCCloud and Containerization:Utilize Kubernetes for managing Docker containers and various cloud services (AWS, Azure) to solve cloud-native challengesStakeholder Management:Provide occasional support to our customer success teamTechnologies We Use:Languages:Python3, C++, Rust, SQLFrameworks:PyTorch, TensorFlow, DockerDatabases:Postgres, Elasticsearch, DynamoDB, RDSCloud:Kubernetes, Helm, EKS, Terraform, AWSData Engineering:Apache Arrow, Dremio, RayMiscellaneous:Git, Jupyterhub, Apache Superset, Plotly DashQualifications:Bachelor’s degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 2+ years of experienceStrong understanding of data structures, data modeling, algorithms, and software architectureProficient in probability, statistics, and algorithm developmentHands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib)(Bonus) Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm)Proficiency in Python, AWS services, and ETL/ELT pipelinesUnderstanding of key software design principles, design patterns, and testing best practicesExperience with Kubernetes and/or EKS is a plusAbility to learn quickly in a fast-paced, agile environmentExcellent organizational, time management, and communication skillsWillingness to engage in pair programming, share knowledge, and provide and receive constructive feedbackStrong problem-solving skills and the ability to take initiativeEqual Opportunity Employment:Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants. We value diversity and are dedicated to fostering an inclusive environment for all employees, regardless of race, color, sex, gender identity or expression, age, religion, national origin, ancestry, citizenship, disability, military or veteran status, genetic information, sexual orientation, marital status, or any other characteristic protected under applicable law.If you are passionate about machine learning and eager to make an impact, we would love to hear from you. Apply today to join the Ikigai Labs team and help us build the future of AI.Powered by JazzHRxjSD1ofxI4",Mid-Senior level,Machine Learning Engineer
+2,2025-04-09,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The opportunityAs a Senior Machine Learning Engineer with the Adobe Unified Brand Services (UBS) team, you will build and productize novel multi-modal Generative AI-powered solutions through multi-functional partnerships with fellow engineers, product managers, designers, and marketers. By improving upon industry leading experiences, you will address key challenges that arise in marketing content creation at scale, for enterprises' content supply chains.We're building something extraordinary! Our platform service delivers not only highly effective and intricate representations for crafting on-brand content but also provides robust tools to evaluate brand compliance across high-traffic Adobe surfaces, including Adobe GenStudio for Performance Marketers (GS PeM), Adobe Workfront, Adobe Experience Manager (AEM), and more.At Adobe UBS, we believe in the power of human connection. By infusing an enterprise's human element into multi-modal marketing communications across various channels and social media platforms, we enable businesses to forge and nurture lasting relationships and build trust with their customers. We recognize that each brand possesses unique preferences and distinctive qualities that dynamically harmonize with the surrounding marketing context in large volumes of multi-modal content.We are seeking a passionate and driven ML engineer who thrives on challenges and brings deep expertise in generative AI technologies. Make a tremendous impact in our fast-paced, startup-like environment. Come create the future with us!ResponsibilitiesInnovate, lead, design, implement, and deliver innovative algorithmic solutions and exciting new features for addressing business requirements.Conduct analytical experiments using statistical techniques and large vision language model (LLMs, VLMs) research for generative modeling of trends and patterns in data.Craft scalable code for building services involving deep ML algorithms, such as deep learning, in programming languages such as Python, Scala.Directly engage with product managers and collaborators for implementing improvements to and optimizing operational systems for unparalleled scalability, efficiency, and performance.Mentor data scientists and engineers and guide innovative ways.Identify new product engagement opportunities by working closely with collaborators, customers, and team members.What You Need To SucceedMS or PhD in computer science or equivalent experience required. 3+ years of work experience specializing in natural language processing, computer vision, machine learning, statistics, generative AI, or related field. In-depth understanding of probability, statistics and machine learning, NLP or computer vision techniques, and model architectures (e.g., transformers, diffusion models, LLMs, vision language models, etc.)Proficient in data structures, and algorithms, along with software engineering guidelines such as maintaining coding standards, conducting code reviews, testing, and handling build processes. Expert programming skills in Python, as well as familiarity with ML frameworks such as PyTorch. Experience in developing and deploying machine learning solutions such as large language models and building REST APIs to expose their outcomes to UI. Experience with cloud computing platforms such as Azure and AWS and containerization tools, e.g., Docker and Kubernetes. Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,Machine Learning Engineer
+3,2025-03-22,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Waymo ML Infrastructure team works with Research and Production teams to develop models in Perception and Planning that are core to our autonomous driving software. We ensure our partners by offering the best solutions for the entire model development lifecycle. These solutions are developed in close collaboration with teams at Google. They are geared towards both scaling models and solving problems unique to ML for autonomous driving.We develop a set of libraries and tools that enhance TensorFlow and JAX, and address scalability, reliability, and performance challenges faced by Waymo's ML practitioners: training fast and at scale, increasing ML accelerator efficiency, fine-tuning multimodal LLMs for autonomous driving tasks, discovering hyper-parameters, retraining neural networks, computing reliable and noiseless metrics on validation sets, and validating newly trained DNNs when deployed into the full onboard software stack.In this hybrid role, you will report to the Technical Lead Manager of Machine Learning Training.You WillDevelop the infrastructure components necessary for distributed training, including job scheduling, resource management, data distribution, and model synchronization.Implement automation solutions for provisioning, deployment, monitoring, and scaling of distributed training infrastructure to improve operations and reliability.Monitor system health, diagnose and troubleshoot issues, and perform routine maintenance tasks to ensure the reliability of the distributed training infrastructure.Identify performance bottlenecks and optimization opportunitiesImprove the developer experience and performance of our scalable ML frameworkYou HaveBachelor's degree in Computer Science, Engineering, or related field, or 2+ years equivalent experienceExperience with distributed systems principles and experience building distributed systems for production environments.Solid Python or C++ skillsPrior experience with Machine Learning frameworks (e.g., TensorFlow, PyTorch) and distributed training algorithmsDebug complex distributed systems issuesExperience communicating updates and resolutions to customers and other partnersWe PreferPractical familiarity using ML accelerator profiling tools to uncover performance bottlenecksFamiliarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying and managing distributed systems in cloud environmentsKnowledge of optimization and deep learning algorithmsThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$170,000—$216,000 USD",Entry level,"Machine Learning Engineer, Training"
+4,2025-03-28,Boston,Massachusetts,HMH,http://www.hmhco.com,"We are an adaptive learning company that empowers educators. With a focus on what moves each learner, HMH delivers what teachers need to foster growth and build lasting momentum for all students. We create integrated K-12 learning solutions for core, supplemental, intervention, assessment, and professional learning--delivered on one streamlined platform. Our technology adapts to every learning environment, uncovering smarter insights about students and helping educators act on what motivates them.  ​​
+
+- 90% of U.S. K-12 schools use HMH programs.  ​​
+- 50 million students in 150 countries use HMH's research-backed learning programs.  ​​
+- 1.9 average years of student growth can be gained in one year by using HMH intervention solutions.  ​​
+
+Learn how HMH can help improve growth for every student in your district.  ","Job Title: Machine Learning EngineerLocation: RemoteWho We AreNWEA® is a division of Houghton Mifflin Harcourt that supports students and educators through research, assessment solutions, policy and advocacy services, professional learning and school improvement services that fight for equity, drive classroom impact and push for systemic change in our educational communities. For nearly 50 years, NWEA has developed innovative pre-K–12 assessments, including their flagship interim assessment, MAP® Growth™ and their reading fluency and comprehension assessment, MAP® Reading Fluency™. For more information, visit NWEA.org to learn more.What You Will DoThe Machine Learning Engineer (ML engineer) contributes to the design, development, and deployment of real-world machine learning systems that facilitate and accelerate advanced AI solutions at scale. Machine learning engineers manage aspects of the machine learning pipeline, including sourcing and preparing data, building, and training models, and deploying to and monitoring models in production.ResponsibilitiesManage, maintain, scale, and improve machine learning models already running in production environments.Design, test, and deploy models to production, initially as a prototype, and then as an API that can serve predictions for end users.Design, run, and evaluate machine learning tests and experiments.Optimize and tweak machine learning models according to how they behave in production.Use CI/CD processes throughout the model development lifecycle to develop higher quality code and models without disruption to production. Provide technical support to data and product teams, helping relevant parties use and understand machine learning systems and datasets.Education And ExperienceMasters or Ph.D. in computer science, engineering, or quantitative field.2-3 years of hands-on experience in machine learning, data science, and analytics.Proficient with tools for machine learning pipeline management and monitoring (e.g., SageMaker, MLflow, Kubeflow).Proficient with machine learning algorithms, architectures, programming languages (e.g., Python, C++, R), and libraries (e.g., PyTorch, TensorFlow).Proficient with SQL and analytical warehouses (e.g., Snowflake).Familiarity with automation and deployment (e.g., Jenkins, GitHub actions, Concourse, etc.) and infrastructure as code (e.g., Terraform) technologies.Employed distributed processing frameworks such as Spark and Dask and has interacted with cloud platforms and container technologies.Practical knowledge of software engineering concepts and best practices, like testing frameworks, packaging, API design, DevOps, DataOps and MLOps.Excellent problem-solving skills and easily adapt to new technologies, trends, and frameworks.Demonstrated ability to elevate the machine learning discipline and foster a collaborative and high-performing environment.Salary range: 100k – 120k.Application DeadlineThe application window for this position is anticipated to close on March 31, 2025. We encourage you to apply as soon as possible. The posting may be available past this date but is not guaranteed.HMH is fully committed to Equal Employment Opportunity and to attracting, retaining, developing and promoting the most qualified employees without regard to race, gender, color, religion, sexual orientation, family status, marital status, pregnancy, gender identity, ethnic/national origin, ancestry, age, disability, military status, genetic predisposition, citizenship status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran, other covered veteran, or any other characteristic protected by federal, state or local law. We are dedicated to providing a work environment free from discrimination and harassment, and where employees are treated with respect and dignity. We actively participate in E-Verify.",Mid-Senior level,Machine Learning Engineer
+5,2025-04-02,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The Opportunity Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.By using predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.All 2025 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.What You’ll DoDevelop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques. Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systemsCollaborate with product management and engineering groups to develop new products and features. What You Need To SucceedCurrently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2025 – June 2026Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. Familiar with distributed frameworks, HPC communication libraries, advanced parallelism techniques for large scale trainingProficient in one or more programming languages such as Python, Java and CFamiliar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learnStrong analytical and quantitative problem-solving ability. Excellent communication, relationship skills and a team playerAbility to participate in a full-time internship between May-SeptemberAdobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Internship,2025 Intern - Machine Learning Engineer AI/ML
+6,2025-03-25,Deerfield,IL,Walgreens,http://www.walgreens.com,"Walgreens (www.walgreens.com) is included in the U.S. Retail Pharmacy Segment of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global leader in retail pharmacy. As America’s most loved pharmacy, health and beauty company, Walgreens purpose is more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving approximately 9 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with platforms bringing together physical and digital, supported by the latest technology to deliver high-quality products and services in local communities nationwide.","Job SummaryApplies advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. May explain findings to business audience.Job ResponsibilitiesResponsible for applying advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios.Interprets and applies data in complex analyses, and explains findings to business audiences to improve products and processes.May support or lead the development of data-related commercial offerings and/or other intellectual property (IP)Executes statistical and mathematical analyses to support business decision making.Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining.Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.Develops materials to explain project findings.Effectively resolves problems and roadblocks as they occur.Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities.Prepares and presents interpretation of findings to internal clients.About Walgreens Boots AllianceWalgreens Boots Alliance (Nasdaq: WBA) is an integrated healthcare, pharmacy and retail leader serving millions of customers and patients every day, with a 170-year heritage of caring for communities.A trusted, global innovator in retail pharmacy with approximately 12,500 locations across the U.S., Europe and Latin America, WBA plays a critical role in the healthcare ecosystem. Through dispensing medicines, improving access to pharmacy and health services, providing high quality health and beauty products and offering anytime, anywhere convenience across its digital platforms, WBA is shaping the future of healthcare in the thousands of communities it serves and beyond.WBA employs approximately 312,000 people, with a presence in eight countries and consumer brands including: Walgreens, Boots, Duane Reade, No7 Beauty Company and Benavides. The Company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. In fiscal 2024, WBA scored 100% on the Disability Equality Index for disability inclusion.More Company information is available at www.walgreensbootsalliance.com.Bachelor's degree and at least 2 years of experience in quantitative or computational functions; or graduate degree in a quantitative, computational or technical disciplineKnowledge of SQLExperience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences.Knowledge of open source data science and statistics packages such as Python, R, Spark, etc.Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.Experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions.Willing to travel up to 10% of the time for business purposes (within state and out of state).Graduate degree in a quantitative, computational or technical disciplineSalary range: $98,600 - $157,500We will consider employment of qualified applicants with arrest and conviction records. $98600 - $157500 / SalariedBasic QualificationsBachelor's degree and at least 2 years of experience in quantitative or computational functions; or graduate degree in a quantitative, computational or technical disciplineKnowledge of SQLExperience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences.Knowledge of open source data science and statistics packages such as Python, R, Spark, etc.Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.Experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions.Willing to travel up to 10% of the time for business purposes (within state and out of state).Preferred QualificationsGraduate degree in a quantitative, computational or technical disciplineSalary range: $98,600 - $157,500We will consider employment of qualified applicants with arrest and conviction records.",Not Applicable,Data Scientist - Healthcare & Clinical Data (Remote)
+7,2025-03-22,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The Globalization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.We are looking for an experienced Algorithm Full Stack Engineer to join our mission by bridging algorithmic solutions with creative tools. In this unique opportunity, you will apply your full stack engineering skills to bring cutting-edge algorithms to our rapidly evolving Localization products. You will collaborate with a talented cross-functional team of scientists, engineers, product managers, and domain experts to deliver business impact.ResponsibilitiesDesign and develop systems and solutions for developing algorithm tooling prototypes and enabling in-depth algorithm evaluationPropose, promote and facilitate paved paths for integration and productization of algorithms, laying foundations for feedback loops and data flywheels Identify and execute on opportunities to create leverage for scaling algorithm impact, managing algorithm dependencies and expanding algorithm distributions Contribute to algorithm projects end-to-end across different domainsCultivate strong relationships with cross-functional partnersEvangelize best practices on algorithm full stack engineeringAbout YouProven track record of delivering high-impact algorithm-driven software systems and solutionsHigh proficiency in full stack engineering, including frontend, backend, distributed systems, and cloud infrastructureFamiliarity with algorithms and pipelines for processing large-scale media assets. Bonus: familiarity with common ML and DL frameworks such as PyTorchExcellent communication and collaboration skillsPassion for bridging algorithms with tooling and workflowsExceptional communication and collaboration skillsComfortable with ambiguity; able to take ownership, and thrive with minimal oversight and processNetflix culture resonates with youOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $360,000 - $920,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Machine Learning Software Engineer (L5) - Content and Studio
+8,2025-04-02,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The Studio Media Algorithms team is at the forefront of innovation to enhance and support the vision of the creators of movies, TV shows and other multimedia work. This team's work is responsible for increasing member value, and driving efficiency of the content creation process, ultimately creating more joy for viewers all over the world. To learn more about the domain, here are some links related to what we do: Creating Media with Machine Learning and Computer Vision Research at Netflix.We are looking for a software engineer with experience in the machine learning (ML), computer vision (CV), and/or graphics domain to design and develop scalable systems and infrastructure for that effort. These systems will be used by our researchers to develop CV, graphics, audio, and natural language processing (NLP) algorithms to analyze, create, and transform media assets.In This Role, You WillDesign and develop systems and reusable algorithms and frameworks for the full cycle of machine learning in the multimedia domain, such as data processing, feature extraction, distributed model training with GPUs, and deploying the produced models into production.Collaborate cross-functionally with research scientists, product managers, as well as creative and business partners and stakeholders, to help define and prioritize system requirements.Work closely with ML/CV/Graphics researchers and Studio teams to productize algorithms and models, and efficiently run human-in-the-loop inference tasks.Participate in algorithm development and propose scalable designs.Promote and facilitate software engineering best practices in the team.About YouIndustry experience with machine learning engineering in a production settingPassion for turning ideas into products and improving the user experienceExperience with research and comfort with the ambiguity of an emerging fieldSkills in OO programming (Python, Java, or C++) Experience with ML, CV, and/or graphics pipelinesExcellent communication and people engagement skillsExperience with large-scale distributed data processing systems and cloud infrastructureIndustry experience in the content creation domain, such as animation, games, or visual effectsExperience with models and tools for generative models, such as Diffusion models and ComfyUIBonus ExperienceBuilding end-to-end multimedia systems and algorithmsDeep learning frameworks such as PyTorch and TensorflowComputer graphics and VFX tools and game engines such as Unreal Engine, Unity, Maya, or NukeOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000 - $750,000.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Machine Learning Engineer (L4/5) - Studio Media Algorithms
+9,2025-03-12,Pune,Maharashtra,Persistent Systems,http://www.persistent.com,"We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry expertise to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations worldwide, including 12 of the 30 most innovative global companies, 60% of the largest banks in the US and India, and multiple innovators across the healthcare ecosystem.
+ 
+Our disruptor’s mindset and commitment to client success have enabled us to sustain our growth momentum by reporting $360.2M revenue in Q3 FY25, delivering 4.3% Q-o-Q and 19.9% Y-o-Y growth. Our 23,900+ global team members, located in 19 countries, have been instrumental in helping the market leaders transform their industries.
+ 
+Included in the Dow Jones Sustainability World Index for setting high standards in sustainability and corporate responsibility and recognized for our state-of-the-art learning and development initiatives at the 16th TISS LeapVault CLO Awards, we also won four categories at the prestigious 2024 ISG Star of Excellence™ Awards, including the Overall Award based on the voice of the customer. Additionally, we were cited as the fastest-growing IT services brand in the 2024 Brand Finance India 100 Report. Throughout our market-leading growth, we have maintained a strong employee satisfaction score of 8.2/10.
+
+⁠We foster an environment where employees accelerate personal and professional growth, drive positive impact through cutting-edge technology, and enjoy collaborative innovation with diversity and work-life balance at the core. 
+
+Join us in shaping the future with the best in the industry.
+","About PersistentWe are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 14 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem.Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum by reporting $282.9M revenue in Q1FY24, delivering 17.1% Y-o-Y growth. In addition, our total employee count reached 23,130 people this quarter, located in 21 countries across the globe. We’re also pleased to share that Persistent has been named the fastest-growing Indian IT Services brand by Brand Finance. Acknowledging our vertical industry expertise, we were placed as a Leader in Everest Group’s Payments IT Services PEAK Matrix® Assessment 2023. We were also recognized as a Leader in the ISG Provider Lens™ Digital Engineering Services Quadrants U.S. 2023 and the Salesforce Ecosystem Partners 2023 ISG Provider Lens™ Study. Throughout this market-leading growth, we’ve maintained strong employee satisfaction - over 94% of our employees approve of the CEO, and 89% would recommend working at Persistent to a friend.About Position:Role: Machine Learning EngineerLocation : Santa Clara County, California, United StatesWork Type : Full timeRequirements:Good foundation and practical experience in executing multiple ML ProjectsStrong statistical background professionally or academicallyGraded Certifications or a degree in Machine Learning is a mustExpertise with ML concepts like: Classification algorithms, regression, clustering and semi-supervised learningExposure to ML ExplainabilityFamiliarity with Time Series concepts like AR, ARIMA, SARIMA, Exponential Smoothing, etcFamiliarity with Neural networks and time dependent neural networks like GRUs and LSTMs.Proficiency in utilizing any of the public cloud providers for designing, building and deploying enterprise grade ML solutions.15+ years of total experience with minimum 7+ years of relevant experience Good to have: Hands on experience with MLOpsCreating end to end inferencing pipelines for monitoring concept drift and data driftExperience with NLP or Gen AIRecommender SystemsBenefits:Competitive salary and benefits package.Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.Opportunity to work with cutting-edge technologies.Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.Annual health check-ups.Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents.Our company fosters a values-driven and people-centric work environment that enables our employees to:Accelerate growth, both professionally and personallyImpact the world in powerful, positive ways, using the latest technologiesEnjoy collaborative innovation, with diversity and work-life wellbeing at the coreUnlock global opportunities to work and learn with the industry’s bestLet’s unleash your full potential at Persistent - persistent.com/careers“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”",Associate,Machine Learning Engineer
+10,2025-03-30,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The OpportunityAdobe is looking for a Machine Learning Engineer to understand and optimize the experience of Adobe’s Digital Experience customers. By partnering with Adobe Research and other business units, you will build products that transform how companies approach audience creation, journey optimization, and personalization at scale. Join a diverse, collaborative, and lively group of engineers and scientists well-established in the ML space. The work here is dynamic, fast-paced, creative, and data-driven.What You'll DoDevelop innovative models in collaboration with Adobe Research. Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making. Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows. Engage in the product lifecycle, including architecture, design, deployment, and production operations. Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches. What you need to succeedThe ideal candidate will have the following background:MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or PhD degree in Computer Science, Data Science, or a related field. Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods. Experience in building large-scale data pipelines. Ability to quickly learn new skills and work in a fast-paced team. Proficiency in one or more programming languages such as Python, Scala, Java, or SQL. Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch. Experience working with both research and product teams. Excellent problem-solving and analytical skills. Excellent communication and relationship-building skills. Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,Machine Learning Engineer
+11,2025-03-28,Menlo Park,California,Robinhood,http://www.robinhood.com,"Trade. Invest. Earn. 
+
+rbnhd.co/social_media_disclosures","Join a leading fintech company that’s democratizing finance for all.Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.With growth as the top priority...The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.About the team + roleThe mission of the Applied Machine Learning team is to provide scalable data and model driven decision making solutions to the various business functions at Robinhood. We aim to create a personalized experience for our users, by helping them discover & engage with the right products & features within Robinhood that they might find most valuable. To accelerate progress, we are also building an accessible model development platform to democratize machine learning practices throughout the company. As we embark on this exciting journey, we are looking for a Machine Learning Engineer to join us to make this vision a reality.What You'll DoAs a Machine Learning Engineer on our team, your primary focus will be on the implementation and evaluation of machine learning algorithms through rigorous experimentation and testing methodologies. Your responsibilities will include:Model Development and Implementation: Develop and implement scalable machine learning models focusing on advanced ranking and recommendation systems, including expertise in Collaborative Filtering, Content-Based Filtering, and Hybrid models, alongside proficiency in Learning to Rank (LTR) techniques for effective prioritization. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation.A/B Testing and Experimentation: Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance, and analyzing results.Data Analysis and Insight Generation: Analyze experimental data to extract actionable insights. Use statistical techniques to validate the findings and ensure their significance, relevance, and accuracy.Cross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to different stakeholders.Tooling and Documentation: Build reusable libraries for common machine learning practices. Offer support and guidance to the usage of these tools. Maintain comprehensive documentation of libraries, models, experiments, and findings. .What You Bring2+ years of applied ML experience building and productionizing ML models focused on recommendations, ranking, or personalization projects.A fervent interest in exploring and applying modern AI and ML technologies.Strive to solve sophisticated engineering problems that drive business objectives.Solid technical foundation enabling active contribution to the design and execution of projects and ideas.Familiarity with architectural frameworks of large, distributed, and high-scale ML applications.Proven experience in ML with a focus on ranking, recommendation systems, multi-objective optimization, and reinforcement learning.Proficiency in Python, SQL, XGboost, PyTorch/TensorFlow.Experience with Spark, Kafka, and Kubernetes is also desirable.Ideally you have experience in the Finance sector.What We OfferMarket competitive and pay equity-focused compensation structure100% paid health insurance for employees with 90% coverage for dependentsAnnual lifestyle wallet for personal wellness, learning and development, and more!Lifetime maximum benefit for family forming and fertility benefitsDedicated mental health support for employees and eligible dependentsGenerous time away including company holidays, paid time off, sick time, parental leave, and more!Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefitsWe use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.Please see the independent bias audit report covering our use of Covey here.Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$157,000—$185,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$139,000—$163,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$122,000—$144,000 USDClick here to learn more about available Benefits, which vary by region and Robinhood entity.We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.",Entry level,"Machine Learning Engineer, Applied ML"
+12,2025-03-30,San Francisco,California,Notion,https://notion.com,"Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes? With Notion, they're all in one place, and totally customizable to meet the needs of any workflow. It's the all-in-one workspace for you, your team, and your whole company. 
+
+We humans are toolmakers by nature, but most of us can't build or modify the software we use every day — arguably our most powerful tool. Our team at Notion is on a mission to make it possible for everyone to shape the tools that shape their lives.","About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.Notion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their week in the office (including a third day).About The RoleWe are looking for an ML Engineer to join our small but nimble AI team whose mission is to make Notion an ML-powered product. As an ML Engineer, you will work on incorporating large language models (LLMs), embeddings, and other AI technologies into Notion’s product in a high quality way. You’ll be exploring the boundaries of what’s possible with ML technology and finding innovative ways to apply new industry learnings to Notion’s offering.What You'll AchieveWork with the team to prototype and experiment with AI model quality improvements, either by fine tuning, prompt engineering, or building new models when neededProductionize and launch new AI technology integrations into Notion’s core productCollaborate with cross-functional teams to deliver product features on timeStay up-to-date with the latest AI technologies and trendsSkills You'll Need To BringDomain Expert, Teacher and Learner: You have experience building AI products using LLMs, embeddings or other ML natural language technologies. 3+ years of experience in one or more of the following areas: machine learning, recommendation or ranking systems, natural language understanding/generation or artificial intelligence. You’re excited about bringing your pre-existing knowledge to the team, but you balance that with perpetual curiosity and understanding that there is always more to learn.Holistic Problem Solver: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.Communicate with Care: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.Impact Driven: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.Nice To HavesYou understand how parts of a system fit together, from the user interface to the data model. You are familiar with relational database systems like Postgres or MySQL, and have experience building products from ground up.You’re proficient with data pipeline technologies: Spark, DBT, etcYou're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.You have experience driving teams toward shared goals and can balance business priorities with individuals’ strengths, areas of interest, and career development goals.You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.You have interests outside of technology, such as in art, history, or literature.We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $170,000 - $250,000 per year.By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.",Not Applicable,"Software Engineer, Machine Learning"
+13,2025-03-30,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The OpportunityAdobe is looking for a Machine Learning Engineer to understand and optimize the experience of Adobe’s Digital Experience customers. By partnering with Adobe Research and other business units, you will build products that transform how companies approach audience creation, journey optimization, and personalization at scale. Join a diverse, collaborative, and lively group of engineers and scientists well-established in the ML space. The work here is dynamic, fast-paced, creative, and data-driven.What You'll DoDevelop innovative models in collaboration with Adobe Research. Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making. Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows. Engage in the product lifecycle, including architecture, design, deployment, and production operations. Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches. What you need to succeedThe ideal candidate will have the following background:Bachelors in Computer Science, Data Science or Statistics with 2+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or MS in Computer Science, Data Science, or a related field. Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods. Experience in building large-scale data pipelines. Ability to quickly learn new skills and work in a fast-paced team. Proficiency in one or more programming languages such as Python, Scala, Java, or SQL. Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch. Experience working with both research and product teams. Excellent problem-solving and analytical skills. Excellent communication and relationship-building skills. Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $102,400 -- $196,300 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,Machine Learning Engineer
+14,2025-03-30,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The OpportunityAdobe is looking for a Machine Learning Engineer to understand and optimize the experience of Adobe’s Digital Experience customers. By partnering with Adobe Research and other business units, you will build products that transform how companies approach audience creation, journey optimization, and personalization at scale. Join a diverse, collaborative, and lively group of engineers and scientists well-established in the ML space. The work here is dynamic, fast-paced, creative, and data-driven.What You'll DoDevelop innovative models in collaboration with Adobe Research. Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making. Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows. Engage in the product lifecycle, including architecture, design, deployment, and production operations. Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches. What you need to succeedThe ideal candidate will have the following background:MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or PhD degree in Computer Science, Data Science, or a related field. Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods. Experience in building large-scale data pipelines. Ability to quickly learn new skills and work in a fast-paced team. Proficiency in one or more programming languages such as Python, Scala, Java, or SQL. Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch. Experience working with both research and product teams. Excellent problem-solving and analytical skills. Excellent communication and relationship-building skills. Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,Machine Learning Engineer
+15,2025-03-26,San Jose,CA,Cisco,http://www.cisco.com,"Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience.  With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. ","The application window is expected to close on: April 14, 2025.Meet the TeamCisco Webex is the world's #1 business collaboration and customer engagement platform. It is used across all industries in the world being used to support governments, business, education, and more, including use by 85% of Fortune 500 business.The workplace of the future will be powered by AI, and we, Collaboration AI, is the team responsible for building AI/ML intelligent experiences within Cisco’s Webex portfolio. The team is made up of multiple major AI fronts to enrich the collaboration use cases. This, in the order of processing pipeline, includes audio codec technologies, automatic speech recognition (ASR), text-to-speech (TTS), natural language processing (NLP) using and training LLMs and beyond, and gen-AI evaluation methodologies, both metric-based and subjective testing. In addition, videos are empowered via computer vision (CV) and additional contextual information by employee graphs, and much more.We aim to build the next-generation AI solutions in collaboration software, devices, and APIs - from digitizing the in-meeting experience, enhancing distributed team efficiency and improving all aspects of people connection.What You’ll DoAs a Senior Machine Learning Engineer on the Collaboration AI team, you will innovate NLP/LLM solutions for Webex products.You are expected to be a main contributor in our AI technology space and bridge the gap between the fast evolving open-source AI landscape and the Webex user experience. You'll drive technological advancement while bridging cutting-edge AI developments with practical user experiences. Your responsibility will include, but not limited to, the following:Explore and implement next-gen LLM technologies, focusing on retrieval-augmented generation (RAG), AI agents, and agentic workflows. Fast prototype innovative concepts and create viable paths to production. Conduct applied ML research and follow the systematic methodology: Establish benchmarking methods, evaluate against baselines, perform ablation studies, and deliver actionable recommendations. Balance technical trade-offs to determine optimal production solutionsCollaborate with system engineers, product managers, and client teams to drive productizationLevel up the team's AI/ML savviness as an AI knowledge catalyst. Who You’ll Work WithYou’ll join a small, high-caliber team of ML specialists, large scale systems pros, NLP, Speech, and CV practitioners and researchers, product gurus, customer artiste, and world-class designers who are all low ego and humble, and passionate about the future brought by AI. We adapt quickly, continuously improve, and deliver high-impact results. We’re not only aiming to build AI applications; we strive to build the best applications of AI the world has ever seen.Many of our engineers have founded their own startups prior to forming Collaboration AI, and they bring a wide and diverse set of industry experience and expertise with them. We draw on this well of experiences every day as we collaborate on our own product, tech stack, and go to market strategy. We're highly collaborative, committed to building great things, and consider it a privilege to learn from each other every day.Minimum Requirements M.S. or Ph.D. in Computer Science, Mathematics, or a related field.  5 + years of experience with Natural Language Processing  2+ years of experience implementing LLM technologies, systems, and applications  Proficiency with deep learning frameworks (e.g., PyTorch, JAX, Keras, TensorFlow), ML ecosystems (e.g., Hugging Face) and production Python programming skills Preferred RequirementsProven experience deploying NLP/LLM solutions in production environmentsStrong judgment to assess practical value versus industry hypeDemonstrated persistence in problem-solving complex challengesDeep intellectual curiosity in emerging AI technologies Engineering mentality at heartResearch contributions in NLP (publications, patents, presentations) are a plus#WeAreCisco#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.",Not Applicable,"Senior Machine Learning Engineer, NLP"
+16,2025-03-30,San Francisco,California,Notion,https://notion.com,"Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes? With Notion, they're all in one place, and totally customizable to meet the needs of any workflow. It's the all-in-one workspace for you, your team, and your whole company. 
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+We humans are toolmakers by nature, but most of us can't build or modify the software we use every day — arguably our most powerful tool. Our team at Notion is on a mission to make it possible for everyone to shape the tools that shape their lives.","About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.Notion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their week in the office (including a third day).About The RoleWe are looking for an ML Engineer to join our small but nimble AI team whose mission is to make Notion an ML-powered product. As an ML Engineer, you will work on incorporating large language models (LLMs), embeddings, and other AI technologies into Notion’s product in a high quality way. You’ll be exploring the boundaries of what’s possible with ML technology and finding innovative ways to apply new industry learnings to Notion’s offering.What You'll AchieveWork with the team to prototype and experiment with AI model quality improvements, either by fine tuning, prompt engineering, or building new models when neededProductionize and launch new AI technology integrations into Notion’s core productCollaborate with cross-functional teams to deliver product features on timeStay up-to-date with the latest AI technologies and trendsSkills You'll Need To BringDomain Expert, Teacher and Learner: You have experience building AI products using LLMs, embeddings or other ML natural language technologies. 3+ years of experience in one or more of the following areas: machine learning, recommendation or ranking systems, natural language understanding/generation or artificial intelligence. You’re excited about bringing your pre-existing knowledge to the team, but you balance that with perpetual curiosity and understanding that there is always more to learn.Holistic Problem Solver: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.Communicate with Care: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.Impact Driven: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.Nice To HavesYou understand how parts of a system fit together, from the user interface to the data model. You are familiar with relational database systems like Postgres or MySQL, and have experience building products from ground up.You’re proficient with data pipeline technologies: Spark, DBT, etcYou're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.You have experience driving teams toward shared goals and can balance business priorities with individuals’ strengths, areas of interest, and career development goals.You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.You have interests outside of technology, such as in art, history, or literature.We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $170,000 - $250,000 per year.By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.",Not Applicable,"Software Engineer, Machine Learning"
+17,2025-03-27,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.NOTE: This job posting is inclusive of a variety of positions within our Algorithms Engineering group. Based on your background, expertise and interests, we will route you to the appropriate team(s). All teams may not be hiring at the same time.As Netflix continues to grow, so do the opportunities to enhance our personalization systems and algorithms. We're looking for a passionate and talented Machine Learning Engineer to join our Algorithms team. In this role, you will apply your expertise in machine learning and software engineering to design, develop, and scale solutions that power the Netflix experience.Key ResponsibilitiesCollaborate with cross-functional teams, including researchers, engineers, data scientists, and product managers, to develop and implement machine learning algorithms that improve personalization, recommendations, and member experiences.Create scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment in Netflix's large-scale, real-time systems.Optimize the performance and scalability of machine learning models, ensuring they can handle the diverse tastes and behaviors of our global member base.Design and conduct offline experiments and A/B tests to validate the impact of algorithmic changes on key business metrics.Contribute to the ongoing improvement of our ML infrastructure and tooling, ensuring that we stay at the cutting edge of industry practices.Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering.What We Are Looking For5+ years of experience in applying machine learning in an industrial setting, with a track record of delivering impactful results.PhD or Masters in Computer Science, Statistics, or a related fieldExpertise in machine learning algorithms and frameworks, with hands-on experience in training, tuning, and deploying models in production environments.Excellent software design and development skills in Python along with Scala, Java, C++, or C#Experience in one or more of the following applied fields: Recommendations, Personalization, Long-term Reward Modeling, Bandits, Transformers, Large-Scale Language Models, LLM evaluation, RLHF reward modeling/alignmentGreat interpersonal skills including strong written and verbal communicationPreferred QualificationsExperience building or enhancing personalization systems, search engines, or similar large-scale machine learning applications.Background in neural networks, natural language processing, or causal inferenceContributions to open-source projects in machine learning or related fields.Experience working with cross functional teamsLinksNetflix Research siteOur cultureOur long term business viewOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Machine Learning Engineer
+18,2025-03-22,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.We are seeking an ambitious software engineer to join the Model Development and Management team, that is building the self-serve user interface layer for Netflix’s MLP in order to accelerate the core loop of model creation, evaluation, experimentation, and deployment. In this role, you'll help shape the future of ML infrastructure at Netflix, with opportunities to contribute to open-source projects and you’ll develop expertise across the full ML lifecycle while working with cutting-edge personalization technologies.MLP and Model Development and Management teams are working with various teams at Netflix, and this role will mainly focus on personalization models. You’ll gather requirements, design, and implement products that help accelerate model development for personalization use cases. You’ll have the opportunity to work alongside our applied researchers and data scientists on the cutting edge of machine learning. You will have a strong customer focus and consistently engage with our ML community to source feedback, identify pain points, and opportunities to evolve Metaflow and the Machine Learning Platform in general. You will also partner with the OSS Metaflow development community to ensure a mutually beneficial roadmap and relationship.To be successful in this role, you must have a strong software engineering background, a keen sense of software design, have proven experience with distributed applications, be a good communicator, and work well in large cross-functional teams.What We Are Looking ForExcellent software design and development skills in Python along with one of Scala, Java, C++.Experience working with state-of-the-art recommendation model development and foundation model development.Built platform offerings for ML Researchers, Engineers, and Data Scientists.Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems.3+ years of full time software engineering or machine learning experience with a bachelor’s and masters degree; or PhD degree. Please note that we do not require work experience if you completed your PhD for this level. Preferred, But Not Required Additional Areas Of ExperienceKnowledge of machine learning algorithms.Experience with deep learning frameworks, such as TensorFlow, PyTorch, etc.Extensive experience with big data and distributed computing systems such as Spark, HBase, Hadoop, Iceberg.Significant contributions to open source projects.Experience working with public clouds, especially AWS.More informationTo learn more about the work we do to check if it aligns with your interests, check the following articles:Supporting Diverse ML Systems at NetflixMetaflowWhat do we offer?Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $464,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Netflix is a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.",Not Applicable,"Software Engineer L4, Machine Learning Platform (Metaflow)"
+19,2025-04-01,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.Applied Machine Learning Research at Netflix improves various aspects of our business, including personalization algorithms, content generation, system optimization, and innovative tooling for artists. Our research spans many areas of machine learning, including recommender systems, reinforcement learning, computer vision, natural language processing, optimization, and operations research. Great applied research also requires robust machine learning infrastructure, another large area of emphasis at Netflix.Applicants are encouraged to express their interest in one or multiple types of internships listed if your skills and qualifications are aligned.We Are Looking For Individuals With The Following QualificationsCurrently enrolled PhD student in the Machine Learning or adjacent Engineering space.Some experience with the following machine learning areas:Foundational science: Practical experience in supervised and/or unsupervised machine learning or data science methods.Software engineering: Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).End-to-end systems: Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability.Experience programming in Python.Curious, self-motivated, and excited about solving open-ended challenges at Netflix.Great communication skills, both oral and written.Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).For Your Application To Be Considered CompleteYou will be sent an Airtable form shortly after you submit your application on our careers site; your application will not be considered complete until you fill out and submit this form.Include a Resume or CV with complete contact information (email, phone, mailing address) and a list of relevant coursework and publications (if applicable).In the Airtable form, you will be asked to select a primary (or secondary) ML area for your potential internship. This will be used to map your application to particular teams & projects.You will be asked to include a short (max one page) statement describing your research experiences and interests, and (optionally) their relevance to Netflix Research. For inspiration, have a look at the Netflix research site.Internships at Netflix At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.Internships are paid and are a minimum of 12 weeks, with a choice of a few fixed start dates in May or June 2025 to accommodate varying school calendars. Conditions permitting, our 2025 summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.The overall market range for Netflix Internships is typically $40/hour - $110/hour.This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Machine Learning Engineer Intern, Summer 2025"
+20,2025-04-02,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back.Role SummarySplunk is looking for Bachelor’s or Master's graduates to join our team! As a Machine Learning Engineer, you will work on a real project (or a few) and have an opportunity to enjoy our dynamic environment.You will experience Splunking and what defines our culture while honing the skills which separate our development teams from others. Working to support internal and external customer needs, you will collaborate with multi-functional teams, receive mentorship, and gain insight into our values-driven process. Our goal is both to support your growth and development while empowering you for a successful start to your career.What you'll get to doIntegrate AI/ML solutions into Splunk products and servicesAchieve data science and software engineering goals set by you and your mentorLearn about Splunk, both the product and the companyCollaborate closely with software engineers, data scientists, and product managersMust-have QualificationsActively pursuing a Bachelor’s or Master's in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics or a related technical field, and a strong record of academic achievementNice-to-have QualificationsWe’ve taken special care to separate the must-have qualifications from the nice-to-haves. “Nice-to-have” means just that Nice. To. Have. So, don’t worry if you can’t check off every box. We’re not hiring a list of bullet points–we’re interested in the whole you.Coursework or research experience in artificial intelligence and machine learning topics such as time series analysis (univariate and multivariate), anomaly detection, generative AI technology and Large Language Models (LLM)Experience programming in a large software project – at school, professionally, or in an open source contextCoursework and project or internship experience in big data systems or distributed systemsExposure to ML frameworks (e.g., TensorFlow, PyTorch, Ray, vLLM) and PythonAbility to work well with others in a fast-paced environmentStrong communication skills, verbal and writtenEnthusiasm for solving interesting problemsSplunk is an Equal Opportunity EmployerSplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $119,200.00 - 163,900.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $107,280.00 - 147,510.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $95,360.00 - 131,120.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,Machine Learning Engineer - Early in Career
+21,2025-03-25,London,United Kingdom,National Grid,https://www.nationalgrid.com/,"National Grid lies at the heart of a transforming energy system. Our business areas play a vital role in connecting millions of people to the energy they use, while continually seeking ways to make the energy system clean, fair, and affordable. 
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+In the UK we own and develop the high-voltage electricity transmission network in England and Wales, taking electricity from where it’s generated to where it’s needed. National Grid Electricity Distribution delivers electricity to over 20 million people across homes and businesses in the Midlands, South West England, and South Wales. 
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+In the US, we own and operate electricity and natural gas networks, serving over 20 million people across New York State and Massachusetts.  
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+National Grid Ventures operates across the UK, Europe, and the US, developing, operating, and investing in large-scale clean energy infrastructure. 
+
+National Grid Partners invests in entrepreneurs at the intersection of energy and emerging tech, with capital, resources, connections, and know-how. ","About UsNational Grid is hiring a Senior Data Scientist for Electric Load Forecasting. This position can be based out of Waltham, MA or Hicksville, NY office. Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.  To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.Job PurposeThe Load Forecasting & Analytics team produces electric and gas forecasts for National Grid. As a Senior Data Scientist specializing in Electric Load Forecasting, you will be responsible for developing long-term electric load forecasts at both system and distribution feeder levels. You will ensure the forecasts incorporate existing and new distributed energy resources, demand-side management, electrification load, other technologies as appropriate, and policies. You will collaborate with internal stakeholders including Supply Procurement, Engineering, Regulatory, Strategy, Finance, and others to ensure the forecasts meet the needs of our stakeholders and reflect latest information on studies, programs, plans, and policies. Additionally, you will support regulatory work, e.g. Massachusetts Electric Sector Modernization Plan for items related to electric load forecasting.Key Accountabilities    Develop long-term Electric Load Forecasts at the system and feeder level using econometric models, time series models, regression analysis, and machine learning models, as appropriate.    Perform exploratory analysis of large complex data sets to derive insights and valuable actions    Ensure the forecasts properly account for distributed energy resources and new technologies and policies (e.g. energy efficiency, demand response, electrification of heat, PV, EV, etc.).     Perform additional analysis relating to the forecast as necessary.     Discover business narrative told by the data and be able to present them to peer data scientists, business stakeholders, and managers at various levels.Provide expert testimony before regulators and defend the forecasts. Respond to data request from regulatory bodies for rate cases and other proceedings.      Assist with code review and quality assurance activities.    Document and archive models and scrips (e.g., using Git/Bitbucket) to enable ongoing support.    The position of senior requires the ability to work independently and communicate to both internal and external stakeholders to present and defend results.  The ability to speak to both technical and non-technical persons to present projects is essential.     Update forecast processes and documentation to ensure they are efficient, reviewable, and reliable.     Collaborate with internal stakeholders (including supply, engineering, regulatory, strategy) regarding forecast methodology and analysis and ensure our deliverables meet their needs.      Stay current in all policies, regulatory requirements, market trends, and industry standards regarding customer energy use and technologies and programs impacting that use, such as energy efficiency and demand response.    Work on researching, implementing, and delivering of items that meet regulatory requirements including the Massachusetts Electric Sector Modernization Plan.Qualifications    A Bachelor’s degree (Master’s or PhD preferred; work experience preferred for Bachelor’s and Master’s degree) in economics, statistics, mathematics, applied analytics, operation research, meteorology, engineering, or related quantitatively rigorous field.    Demonstrated experience with regression analysis, econometric models, or other forecasting modeling techniques is preferred.    Expertise in statistical programming software such as Python, SAS, or R is required. Advanced SQL skills preferred. Experiences with Git/Bitbucket, Azure, Databricks is preferred. Advanced Excel skills preferred.     Experience in energy forecasting, energy related industry, or in a regulated setting with direct interaction with regulators preferred.     Experience with policy or forecasting distributed resources (e.g. PV, EV, energy efficiency, demand response, electrification of heat, etc.) preferred.    Good understanding of National Grid’s operations and the regulatory environment preferred.    Strong written and verbal communication skills including the ability to testify before regulators and respond to regulatory data requests.  Ability to explain complex technical concepts to non-technical stakeholders. More Information National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise.  We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve.  National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.  SalaryWaltham $130,000 - $153,000 or Hicksville $139,000 - $164,000 a year.This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Internal candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.",Mid-Senior level,"Senior Data Scientist, Data Science"
+22,2025-04-09,London,United Kingdom,National Grid,https://www.nationalgrid.com/,"National Grid lies at the heart of a transforming energy system. Our business areas play a vital role in connecting millions of people to the energy they use, while continually seeking ways to make the energy system clean, fair, and affordable. 
+
+In the UK we own and develop the high-voltage electricity transmission network in England and Wales, taking electricity from where it’s generated to where it’s needed. National Grid Electricity Distribution delivers electricity to over 20 million people across homes and businesses in the Midlands, South West England, and South Wales. 
+
+In the US, we own and operate electricity and natural gas networks, serving over 20 million people across New York State and Massachusetts.  
+
+National Grid Ventures operates across the UK, Europe, and the US, developing, operating, and investing in large-scale clean energy infrastructure. 
+
+National Grid Partners invests in entrepreneurs at the intersection of energy and emerging tech, with capital, resources, connections, and know-how. ","About UsNational Grid is hiring a Senior Data Scientist for Electric Load Forecasting. This position can be based out of Waltham, MA or Hicksville, NY office. Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.  To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.Job PurposeThe Load Forecasting & Analytics team produces electric and gas forecasts for National Grid. As a Senior Data Scientist specializing in Electric Load Forecasting, you will be responsible for developing long-term electric load forecasts at both system and distribution feeder levels. You will ensure the forecasts incorporate existing and new distributed energy resources, demand-side management, electrification load, other technologies as appropriate, and policies. You will collaborate with internal stakeholders including Supply Procurement, Engineering, Regulatory, Strategy, Finance, and others to ensure the forecasts meet the needs of our stakeholders and reflect latest information on studies, programs, plans, and policies. Additionally, you will support regulatory work, e.g. Electric Grid Modernization Plan, rate case, for items related to electric load forecasting.Key Accountabilities    Develop long-term Electric Load Forecasts at the system and feeder level using econometric models, time series models, regression analysis, and machine learning models, as appropriate.    Perform exploratory analysis of large complex data sets to derive insights and valuable actions    Ensure the forecasts properly account for distributed energy resources and new technologies and policies (e.g. energy efficiency, demand response, electrification of heat, PV, EV, etc.).     Perform additional analysis relating to the forecast as necessary.     Discover business narrative told by the data and be able to present them to peer data scientists, business stakeholders, and managers at various levels.Provide expert testimony before regulators and defend the forecasts. Respond to data request from regulatory bodies for rate cases and other proceedings.      Assist with code review and quality assurance activities.    Document and archive models and scrips (e.g., using Git/Bitbucket) to enable ongoing support.    The position of senior requires the ability to work independently and communicate to both internal and external stakeholders to present and defend results.  The ability to speak to both technical and non-technical persons to present projects is essential.     Update forecast processes and documentation to ensure they are efficient, reviewable, and reliable.     Collaborate with internal stakeholders (including supply, engineering, regulatory, strategy) regarding forecast methodology and analysis and ensure our deliverables meet their needs.      Stay current in all policies, regulatory requirements, market trends, and industry standards regarding customer energy use and technologies and programs impacting that use, such as energy efficiency and demand response.    Work on researching, implementing, and delivering of items that meet regulatory requirements including the Massachusetts Electric Sector Modernization Plans, meeting the the New York climate plan, Distributed System Implementation Plan, etc.Qualifications    A Bachelor’s degree (Master’s or PhD preferred; work experience preferred for Bachelor’s and Master’s degree) in economics, statistics, mathematics, applied analytics, operation research, meteorology, engineering, or related quantitatively rigorous field.    Demonstrated experience with regression analysis, econometric models, or other forecasting modeling techniques is preferred.    Expertise in statistical programming software such as Python, SAS, or R is required. Advanced SQL skills preferred. Experiences with Git/Bitbucket, Azure, Databricks is preferred. Advanced Excel skills preferred.     Experience in energy forecasting, energy related industry, or in a regulated setting with direct interaction with regulators preferred.     Experience with policy or forecasting distributed resources (e.g. PV, EV, energy efficiency, demand response, electrification of heat, etc.) preferred.    Good understanding of National Grid’s operations and the regulatory environment preferred.    Strong written and verbal communication skills including the ability to testify before regulators and respond to regulatory data requests.  Ability to explain complex technical concepts to non-technical stakeholders. More InformationThis position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise.  We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve.  National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.  SalarySyracuse $116,000 - 136,000 Waltham $130,000 - $153,000 or Hicksville $139,000 - $164,000 a year.This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Internal candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.",Mid-Senior level,"Senior Data Scientist, Data Science"
+23,2025-03-25,London,United Kingdom,National Grid,https://www.nationalgrid.com/,"National Grid lies at the heart of a transforming energy system. Our business areas play a vital role in connecting millions of people to the energy they use, while continually seeking ways to make the energy system clean, fair, and affordable. 
+
+In the UK we own and develop the high-voltage electricity transmission network in England and Wales, taking electricity from where it’s generated to where it’s needed. National Grid Electricity Distribution delivers electricity to over 20 million people across homes and businesses in the Midlands, South West England, and South Wales. 
+
+In the US, we own and operate electricity and natural gas networks, serving over 20 million people across New York State and Massachusetts.  
+
+National Grid Ventures operates across the UK, Europe, and the US, developing, operating, and investing in large-scale clean energy infrastructure. 
+
+National Grid Partners invests in entrepreneurs at the intersection of energy and emerging tech, with capital, resources, connections, and know-how. ","About UsNational Grid is hiring a Senior Data Scientist for Electric Load Forecasting. This position can be based out of Waltham, MA or Hicksville, NY office. Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.  To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.Job PurposeThe Load Forecasting & Analytics team produces electric and gas forecasts for National Grid. As a Senior Data Scientist specializing in Electric Load Forecasting, you will be responsible for developing long-term electric load forecasts at both system and distribution feeder levels. You will ensure the forecasts incorporate existing and new distributed energy resources, demand-side management, electrification load, other technologies as appropriate, and policies. You will collaborate with internal stakeholders including Supply Procurement, Engineering, Regulatory, Strategy, Finance, and others to ensure the forecasts meet the needs of our stakeholders and reflect latest information on studies, programs, plans, and policies. Additionally, you will support regulatory work, e.g. Massachusetts Electric Sector Modernization Plan for items related to electric load forecasting.Key Accountabilities    Develop long-term Electric Load Forecasts at the system and feeder level using econometric models, time series models, regression analysis, and machine learning models, as appropriate.    Perform exploratory analysis of large complex data sets to derive insights and valuable actions    Ensure the forecasts properly account for distributed energy resources and new technologies and policies (e.g. energy efficiency, demand response, electrification of heat, PV, EV, etc.).     Perform additional analysis relating to the forecast as necessary.     Discover business narrative told by the data and be able to present them to peer data scientists, business stakeholders, and managers at various levels.Provide expert testimony before regulators and defend the forecasts. Respond to data request from regulatory bodies for rate cases and other proceedings.      Assist with code review and quality assurance activities.    Document and archive models and scrips (e.g., using Git/Bitbucket) to enable ongoing support.    The position of senior requires the ability to work independently and communicate to both internal and external stakeholders to present and defend results.  The ability to speak to both technical and non-technical persons to present projects is essential.     Update forecast processes and documentation to ensure they are efficient, reviewable, and reliable.     Collaborate with internal stakeholders (including supply, engineering, regulatory, strategy) regarding forecast methodology and analysis and ensure our deliverables meet their needs.      Stay current in all policies, regulatory requirements, market trends, and industry standards regarding customer energy use and technologies and programs impacting that use, such as energy efficiency and demand response.    Work on researching, implementing, and delivering of items that meet regulatory requirements including the Massachusetts Electric Sector Modernization Plan.Qualifications    A Bachelor’s degree (Master’s or PhD preferred; work experience preferred for Bachelor’s and Master’s degree) in economics, statistics, mathematics, applied analytics, operation research, meteorology, engineering, or related quantitatively rigorous field.    Demonstrated experience with regression analysis, econometric models, or other forecasting modeling techniques is preferred.    Expertise in statistical programming software such as Python, SAS, or R is required. Advanced SQL skills preferred. Experiences with Git/Bitbucket, Azure, Databricks is preferred. Advanced Excel skills preferred.     Experience in energy forecasting, energy related industry, or in a regulated setting with direct interaction with regulators preferred.     Experience with policy or forecasting distributed resources (e.g. PV, EV, energy efficiency, demand response, electrification of heat, etc.) preferred.    Good understanding of National Grid’s operations and the regulatory environment preferred.    Strong written and verbal communication skills including the ability to testify before regulators and respond to regulatory data requests.  Ability to explain complex technical concepts to non-technical stakeholders. More Information National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise.  We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve.  National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.  SalaryWaltham $130,000 - $153,000 or Hicksville $139,000 - $164,000 a year.This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Internal candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.",Mid-Senior level,"Senior Data Scientist, Data Science"
+24,2025-03-31,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The Opportunity Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.At Adobe Firefly, we build foundation generative models for image, video, and other modalities that power the suite of products at Adobe. By using predictive models, experimental design methods, and optimization techniques, the candidate will research, experiment, develop, and optimize CV algorithms/models that understand, generate, and enhance data for training pioneering image and video foundation models powered by data, training, and inference infrastructures.All 2025 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organizations will determine the frequency they need to go into the office to meet priorities.What You’ll DoDevelop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques. Develop and implement scalable, efficient, and interpretable modeling algorithms that work with large-scale production systems data. Research and develop CV algorithms/models to generate image and video training data for GenAI foundation models and applicationsCollaborate with researchers and applied researchers to bring research ideas to production. Collaborate with data, modeling, and inference platform teams to optimize, scale up, and deliver end-to-end solutions to production. What You Need to SucceedCurrently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2025 – June 2026Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. Deep expertise in computer vision, image processing, video processing, and machine learning for Generative AI. Proficient in one or more programming languages such as Python, Java and C++Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learnStrong analytical and quantitative problem-solving ability. Excellent communication, relationship skills and a team playerAbility to participate in a full-time internship between May-SeptemberAdobe is proud to be an  Equal Employment Opportunity  and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.  Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email  accommodations@adobe.com  or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Internship,2025 Intern CV/ML - Machine Learning Engineer
+25,2025-03-31,Annapolis Junction,MD,Interclypse,https://interclypse.com,"Interclypse is a small business headquartered in Annapolis Junction, Maryland, focused on solving complex problems for customers across the US Intelligence Community and customers in the federal and state government and commercial industries since 2007. We combine world-class engineering talent with proven engineering best practices, domain expertise, and a proven agile management methodology to meet our customers' most critical business and mission objectives.  
+
+The Interclypse team is on a continuous mission to have a positive transformational impact on society, community, industry, and individuals! Our team accomplishes this mission by continuously ""Doing What is Right."" ","DescriptionInterclypse is seeking Data Scientists.The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career.Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.RequirementsEducationDegree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required.Primary ResponsibilitiesEngage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.To succeed in this position; you need to be curious, creative, and tech-savvy.You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms.You must be persistent and have excellent analytical and problem-solving skills.Devise strategies for extracting semantic value from large datasets.Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions.Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.Required Skills/ExperienceExperience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora)Experience with programming in R, Python, JavaExperience with NoSQL databases ( e.g., MongoDB, Accumulo)Experience designing data models and approachesExperience working in a cloud environment ( e.g., AWS, Azure)Experience with LinuxExcellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levelsAbility to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environmentDesired Skills/ExperienceExperience with programming in TensorFlow, PyTorchExperience with Hadoop, MapReduceExperience with TableauExperience with CognosExperience with designing, implementing, and using REST APIsExperience with RDF/OWL, SPARQL, and Semantic Web technologiesExperience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plusExperience with Data catalogs and data managementAbility to help visualize the data for analysis and to display resultsWhy You Might Like This JobYou’re tired of working for a massive organization.You want to work for an established company that values your stable career.You want to work with a team who loves their job and making cool stuff.You want to be part of a team focused on making a positive impact.You want to grow your skills in management or work toward becoming an expert.You want to have the option for career mentorship, both in technology and in business.You value a company with a strong culture of growth and support.BenefitsEmployee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity.Comprehensive time off and leave programs:31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdaysParental Leave: 40 HoursBereavement Leave: 24 hours.Military Reserve Leave (up to 80 hours, see employee handbook for details).Jury Duty Leave 16 hours.Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximumHealth Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details).Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for familiesVision InsuranceDental Insurance includes orthodontics coverageLife InsuranceAccidental Death and Dismemberment InsuranceDisability: Short-term and long-term disability coverageEducational support: reimbursement up to the federal max of $5,250Company apparel: $200 for company apparel each yearSocial events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and moreInterclypse isn’t your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: ""Doing What is Right"". Apply today to see how you can join our winning team and start down the career path that’s right for you!EOE AA M/F/Vet/DisabilityInterclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate’s experience and education/training, internal peer equity, and market and business consideration.",Entry level,Data Scientist - All Levels
+26,2025-03-28,San Jose,CA,Zoom,www.zoom.com,"Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom AI-first work platform you know and love. 💙
+
+Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, Contact Center and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.
+
+We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you'll find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
+
+Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home","What You Can ExpectBe part of a team whose focus is to solve cutting edge AI problems and implementation that constantly advance the state-of-the-art. You will be working across various AI/LLM areas including GenAI, and other interesting challenges that are stimulating at Zoom's scale. Will work on LLM applications/integration and tuning for the Zoom major products.About The TeamWith eight specialized departments, the engineering team functions as a highly collaborative, diverse powerhouse. Each department mission is to deliver seamless and innovative communication solutions. These range from software development and machine learning to quality assurance teams that work to create and maintain Zoom's user-friendly interfaces and robust infrastructure. The team continues to push the boundaries of communication technology, bringing people together regardless of their physical distance.ResponsibilitiesEvaluating Artificial Intelligence function. LLM prompt engineering.Supporting AI model optimization.Building and deploying state of the art GenAI use cases.Building pipelines to consume the various data source for AI services.Building metrics, dashboards to measure both AI and system performance.Working closely with the research teams to build required tools and services to make them productive.Working closely with the product and operations teams to integrate ML services seamlessly into the products.Working closely with the product and operations teams to integrate ML services seamlessly into the products.Working closely with various teams on data acquisition, cleanup and related tooling.What We're Looking ForHave a relevant expertise in Computer Science, Artificial Intelligence, Machine Learning, or related STEM field.Have 5+ years work experience.Have coding skills in Python, C/C++, or Java.Experience with LLM tuning, prompt engineering.Experience with one or more of the following: Natural Language Processing, text understanding, classification, ranking systems or similar.Have a solid comprehension of AI concepts, algorithms, and frameworks (e.g. TensorFlow, PyTorch).Have knowledge about software development best practices and version control systems (e.g. Git).Have troubleshooting and debugging skills.Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more informationAbout UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.Our CommitmentWe believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.Minimum:Salary Range or On Target Earnings:$127 700,00Maximum:$255 400,00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.We also have a location based compensation structure; there may be a different range for candidates in this and other locationsAt Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!Anticipated Position Close Date:05/30/25Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.Our Commitment We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.",Not Applicable,Machine Learning Engineer
+27,2025-03-27,New York,,Adapty.io,https://go.adapty.io/main,"Revenue management platform to help your app make more money. Delegate the boring infrastructure to Adapty, create native paywalls in minutes, double your subscription revenue with A/B testing, and watch your app grow in real time. 
+
+We're hiring! https://adapty.io/jobs","Adapty is a revenue management platform for mobile apps that simplifies subscription implementation and paywall management. We help developers quickly monetize their apps, serving 7,000 apps and processing $1 billion in in-app subscriptions annually. Backed by top investors like 500 Startups and Surface Ventures.At Adapty, we pride ourselves on offering the best analytics for subscription apps. In addition, we provide powerful predictive tools, including the ability to forecast the outcomes of A/B tests and predict revenue and LTV for cohorts.We’re looking for ML Engineer/Data Scientist to join us and drive our machine learning and data science initiatives even further.What You Will DoTake ownership of your models, guiding them from initial research to full deployment in production, and ensuring they continue to deliver value over time.Build and improve models to predict customer revenue and lifetime value (LTV) for mobile apps, helping our customers make better business decisions.Providing benchmarks for customer metrics, including Install-to-Trial conversions, Install-to-Paid conversions, and LTV compared to industry standards.Make A/B testing smarter by developing tools that identify winning strategies faster and with less data.Create models that design highly effective paywalls tailored to each app’s category and audience, optimizing pricing, layout, and content.Use data to uncover actionable insights, such as identifying where a small price adjustment could significantly boost revenue.What We ExpectStrong Analytical Foundation: You have a solid grasp of math, statistics, and probability theory.Machine Learning Expertise: You know how to build both interpretable and advanced black-box machine learning models, and you’ve put them into production before.Revenue-Focused Experience: You’ve worked on predictive models for metrics like revenue and LTV, and you understand the challenges in these areas.End-to-End Ownership: You’re comfortable taking a model from an idea to a live, production-ready system—and keeping it running smoothly.Product-based Approach: You focus on results that make a difference for users, driving value with every project you take on.What We OfferFlexible Remote Work: Work from anywhere with a schedule that fits your life. While our core team operates in Europe, we welcome global candidates via deel.com.Perfect Product Fit: Promote a product that aligns seamlessly with market needs, making your work impactful and fulfilling.Direct Communication: A transparent and efficient work environment focused on achieving goals.Fast-Track Impact: Receive clear, market-driven feedback on your work as we expand into the US and beyond.Additional Benefits: Enjoy perks like free English lessons, sports and laptop reimbursements, and ample opportunities for professional growth.Join Adapty and help shape the future of mobile app monetization through cutting-edge machine learning and data science solutions!Share This JobJob InformationJob TypeData ScientistDepartmentDevelopmentLocationRemoteEmployee TypeFull-timeCareer LevelSeniorApply for a job now",Entry level,ML Engineer/Data Scientist
+28,2025-03-30,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The OpportunityAdobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.By using predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.All 2025 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.What You’ll DoDevelop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques. Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systemsCollaborate with product management and engineering groups to develop new products and features. What You Need to SucceedCurrently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2025 – June 2026Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. Proficient in one or more programming languages such as Python, Java and CFamiliar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learnStrong analytical and quantitative problem-solving ability. Excellent communication, relationship skills and a team playerAbility to participate in a full-time internship between May-SeptemberAdobe is proud to be an  Equal Employment Opportunity  and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.  Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email  accommodations@adobe.com  or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Internship,2025 Intern - Machine Learning Engineer AI/ML
+29,2025-03-25,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The Studio Media Algorithms and Eyeline Research teams are at the forefront of innovation to enhance and support the vision of creators of movies, TV shows and other multimedia content at Netflix. Our work is aimed at increasing member value and driving efficiency of the content creation process, ultimately bringing more joy to viewers worldwide.We are seeking an experienced Machine Learning Software Engineer to join our team of world-class researchers. You will work closely with the scientists at the Eyeline Research team, and design and develop scalable systems and infrastructure that enable researchers to create and deploy AI/CV/graphics algorithms for use by studio/content creators and stakeholders.In This Role, You WillDesign and develop systems and reusable frameworks for the full cycle of ML/AI R&D in the multimedia domain, including data processing, efficient distributed model training with GPUs, and deploying models into creator workflows and production systems.Collaborate cross-functionally with research scientists, product managers, and creative and business partners to define and prioritize system requirements.Work closely with ML/CV/Graphics researchers and Studio teams to productionize algorithms and models, and efficiently run human-in-the-loop inference tasks.Participate in model development and propose scalable designs.Champion and facilitate software engineering best practices within the team.About YouProven experience in software engineering within a production environment, including proficiency in object-oriented programming (Python, Java, or C++), CI/CD, etc.Familiarity with ML, CV, GenAI, and/or graphics pipelines, and experience with distributed data processing systems.Proficient in cloud infrastructure, including S3, Docker containers.Basic understanding of (multi) GPU training and inference for debugging and performance assessment, and CUDA runtime.Passionate about transforming ideas into products and enhancing user experience.Excellent communication and interpersonal skills, with a strong ability to navigate ambiguity.Bonus ExperienceExperience building end-to-end multimedia systems and algorithms.Deep experience with AWS and understanding of FSx.Proficiency with deep learning frameworks such as PyTorch and TensorFlow.Experience in the content creation domain, such as visual effects or animation.Familiarity with generative models and tools, such as diffusion-based models and ComfyUI.Knowledge of graphics and VFX tools and/or game engines, such as Unreal, Houdini, or Nuke.Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000 - $750,000.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.",Not Applicable,ML Software Engineer (L4/L5) - Media Algorithms
+30,2025-04-06,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.Responsibilities - What You'II Do Build industry-leading recommendation system, improving user experience, content ecosystem and platform security; Deliver end-to-end machine learning solution to address critical product challenges; Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.QualificationsMinimum Qualifications: Bachelor degree or above in the field of computer science or a related technical discipline Proficient coding skills and strong algorithm & data structure using C++/Python or other programming language Experienced in Machine Learning, familiar with at least one DeepLearning framework, e.g. PyTorch, Tensorflow. Experienced in one or more of the following areas, e.g. NLP, CV, Recommender System, and Machine Learning, etc Effective communication and teamwork skillsPreferred Qualifications Authors of published papers in top academia conferences is an advantage Winners of algorithm and machine learning competitions such as ACM and Kaggle is an advantageTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $119000 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,(General Hire) Machine Learning Engineer Graduate (TikTok Recommendation) - 2025 Start (Master)
+31,2025-03-27,New York,New York,Russell Tobin,https://www.russelltobin.com/,"Bring Top Talent With Your Company With Russell Tobin
+Headquartered in New York City with offices throughout the United States, United Kingdom, Ireland, The Netherlands, Brazil, Canada, India, and Singapore, Russell Tobin—a division of Pride Global—offers total staffing and recruitment solutions across a wide range of industries. Our team of highly skilled recruiters, sourcers, and subject-matter experts understand exactly how to find world-class candidates that will fit your company’s precise needs. Whether you need skilled professionals ready to deliver results in complex sectors such as banking or technology, or you’re looking to build out your own staffing efforts with a recruiter-for-recruiters (R4R) model, Russell Tobin can make the connections. 
+
+Our Bespoke Approach to Connecting Talent With Companies
+When an organization comes on board as a client, Russell Tobin takes the time to understand the company from the inside out. We work directly with you and your leadership team to create an end-to-end solution capable of handling the full recruitment lifecycle, tailored to your company’s needs and culture. After gathering the critical data we need to seek exactly the right candidates for your hiring strategy, our recruiters take over, using their deep understanding of your industry to build out talent pools and discover game-changing new hires.  
+
+A Proud Member of a Decidedly Diverse Network of Companies
+As part of Pride Global, Russell Tobin serves as one of industry’s only minority-owned payroll and staffing organizations, giving you the opportunity to satisfy Tier 1 diversity spending requirements. We’ve also taken this commitment much further through our Decidedly Diverse initiative, which seeks to create greater diversity, equity, and inclusion across our workforce and workplace, as well as the wider world in which we live. Learn more at https://decidedlydiverse.com.  
+","What are we looking for in our Data Engineer/ Analytics Engineer?Job Title: Data Engineer/ Analytics EngineerLocation: Mountain View/ SFO, CA (Hybrid)Duration: 4-5 MonthsPay Range: $80-$85/h on DOEJob Description:Maintain and enhance foundational data pipelines that power self-service analytics, automate critical reporting workflows to significantly reduce manual efforts, and ensure pipelines are consistently refreshed with new or seasonal data.The ideal candidate has strong SQL and data modeling skills, experience building scalable data pipelines (e.g., with Airflow or dbt), expertise in BI tools (e.g., Looker, Tableau, Power BI), and a proven track record of working collaboratively with cross-functional teams to drive data-driven decision-making.The role also involves collaborating with stakeholders to leverage standardized A/B test reporting frameworks to make business decisions. (Nice to have)Rate/Salary: $80-$85/h on DOE",Entry level,Data Engineer/ Analytics Engineer
+32,2025-04-04,"Provo, UT and Seattle, WA",,Qualtrics,https://www.qualtrics.com/,"At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 19,000 clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. That’s where we come in. 
+
+Founded in 2002, our company has spent over 21 years working with the industries that impact you every day. From retail to government to healthcare, we’ve been on a mission to bring humanity, connection, and empathy back to business. It’s a mission that thousands of Qualtricians across the globe think is work worth doing.
+
+Mission: At Qualtrics, our mission is to build technology that closes experience gaps.","At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.Machine Learning EngineerWhy We Have This RoleWe are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!How You’ll Find SuccessWork in a supportive environment enables individual growth and achievement of team goalsCollaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customersDevelop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning modelsImplement new features and optimize existing ones to delight our customersHow You’ll GrowWork in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing businessBuild and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.Things You’ll DoWork closely with, and incorporate feedback from other specialists, tech-ops, and product managersLead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacityAttend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customersFinding quick ways to prototype and test possible solutions to large problemsWhat We’re Looking For On Your ResumeBachelor’s degree in Computer Science or related fields.Interest in modern machine learning / deep learning systemsStrong Computer Science fundamentals in algorithm design, complexity analysis, and performanceExperience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented designExperience with applied machine learning models and large-scale ML systemsWhat You Should Know About This TeamThe Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. This team builds core machine learning infrastructure and services.We partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth.Our Team’s Favorite Perks And Benefits$1800 Experience bonus to be used for an “Experience” of your choosingUnlimited Sick DaysAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection ActQualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.Washington State Annual Pay Transparency Range$99,500—$187,000 USD",Entry level,Machine Learning Engineer
+33,2025-04-03,Sydney,NSW,Atlassian,https://atlassian.com/,"Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone.
+
+From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. 
+
+Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time.
+
+With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software.
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+We believe the power of teams has the potential to change the world—one that is more open, authentic, and inclusive.","OverviewWorking at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.Your Future Team The mission of Atlassian is to unleash potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. AI/ML is significantly transforming how teams come together to plan, track, and deliver work across software and business teams using our products. We are looking for rockstar Machine learning engineers to come help us to further this mission and help make teams more productive leveraging AI across our product portfoilo.ResponsibilitiesWhat you'll do As an Applied Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations. You will be responsible for application of AI/ML to various product problems to improve Atlassian products and actively contribute to Atlassian Intelligence features.QualificationsOn your first day, we’ll expect you to haveBachelor's or Master's degree (preferably a Computer Science degree or equivalent experience). Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL. Knowledge of Spark and cloud data environments is a plus (e.g. AWS, Databricks) Experience building and scaling machine learning models using large amounts of data Agile development mindset, appreciating the benefit of constant iteration and improvement It's great, but not required, if you have Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space Experience in developing deep learning-based models and working on LLM-related applications Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions CompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:Zone A: $192,600 - $267,700Zone B: $173,400 - $241,000Zone C: $159,900 - $222,200This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.Our Perks & BenefitsAtlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.About AtlassianAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.To learn more about our culture and hiring process, visit go.atlassian.com/crh .",Mid-Senior level,Machine Learning Engineer
+34,2025-04-02,,,McKinsey & Company,http://www.mckinsey.com,"McKinsey & Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions. 
+
+We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address problems that no one else can. We have deep functional and industry expertise as well as breadth of geographical reach. We are passionate about taking on immense challenges that matter to our clients and, often, to the world. 
+
+We work with our clients as we do with our colleagues. We build their capabilities and leadership skills at every level and every opportunity. We do this to help build internal support, get to real issues, and reach practical recommendations. We bring out the capabilities of clients to fully participate in the process and lead the ongoing work.","Who You'll Work WithAt McKinsey, our most valuable resource is our people. As such, we have built a world class team dedicated to optimizing people management and facilitating data driven decision making, including strategies to improve employee satisfaction, team structure, employee management, recruiting decisions and other high impact use cases.The People Analytics and Measurement team is globally respected as a leader in its field. You will be provided the opportunity for in-depth exposure to new, emerging methodologies through hands-on client projects, e-learning, certifications, live boot camps and global analytics conferences. This team works in one of the fastest growing disciplines in analytics.You will be part of the technology architecture and enablement pod. You will contribute to a diverse, curious, entrepreneurial and innovative team that operates at the intersection of cloud computing, architecture, operations alongside natural language processing (NLP) and machine learning (ML). Each member of the team is motivated by personal and technical growth and enjoys a highly autonomous working environment along with team oriented projects.Your ImpactYou will deal with Product and Services architecture and you will work at the intersection of other pods that deal with Data Engineering, Data Integration, Application Development and Data Science.You should be able to deploy ML, NLP and other similar solutions in a production environment at scale.You will be given ownership across the entire Software Engineering and Ops Lifecycle with a strong emphasis on Machine Learning Engineering to deploy models, and training, inference and validation pipelines into production.In the process, you will be supported and encouraged to become a Technology Architect.You will work with Data Engineers, Developers, Analysts and Product Owners to build scalable, reliable, and impactful services.You will be creating and maintaining stable, performant services (real-time, streaming, batch and scheduled) and applications that will deal with prescriptive analytics pre-dominantly which will help in driving firm decisions on the basis of large data-sets within the firm.You will design, implement, deploy into the cloud, and integrate state-of-the-art machine learning services at scale in production into critical firm workflows that need to be availed for stakeholders and users to serve the following use-cases - recruitment, trainings for firm members, team composition, staffing, satisfaction of your colleagues, etc.You will build self-serve tools and services that will be leveraged by Product Owners and non-tech colleagues to analyze and to distill unstructured text data into actionable insights. For example, you will deploy solutions that analyze unstructured text like resumes, job descriptions, surveys, and other firm documents to help with use-cases in recruiting, staffing, etc.You will architect scalable and performant solutions for the firm’s use-cases; provision and support Platforms, Tools, and Services necessary to drive Advanced Analytics, BI initiatives, and AI/ML opportunities in the People Technology space; conduct Discoveries and in-depth analysis of Cloud Services and SaaS platforms to determine the optimal tech stack for the team.You will develop NLP, ML Ops, and other capabilities for data scientists across the firm to use; aid Development teams with activities related to Architecture diagrams, Cloud Infrastructure setup and Security.Your Qualifications and Skills3 + years experience developing production oriented systems in Python is required. Experience with R preferredApplied understanding of Natural Language processing techniques and Gen AI (e.g. language transformers / Large Language Models, text embeddings, and topic modeling), Statistical methods (e.g. linear and logistic regression), Machine Learning methods and optimization (e.g. boosted trees and deep neural networks), and graph algorithms with efficacy metricsPrior experience with Infrastructure as Code (IaC) using solutions like Cloud Formation, Terraform or similar tools; developing CI/CD automation (primarily using GitHub actions, ArgoCD)Hands on experience working with AWS services such as the ones related to Networking (VPC, Load Balancers), Compute (ECS, EKS, EC2), Storage (S3), Serverless (Lambda), API Gateway, Data Science services (Sagemaker), etc.Bachelor’s degree preferred in computer science or related field",Mid-Senior level,Machine Learning Engineer
+35,2025-04-01,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.AboutAs Netflix continues to grow, so do the opportunities to enhance our personalization systems and algorithms. We're looking for a passionate and talented Software Engineer for Machine Learning to join our Algorithms team. In this role, you will apply your expertise in software engineering to design, develop, and scale solutions for the machine learning algorithms that power the Netflix experience. You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests. For more details about software engineering for personalization at Netflix, see these links:Consolidating ML modelsInTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation ModelsEvidence PersonalizationPage Simulation for Better Offline Metrics at NetflixRecSysOpsAs a software engineer in the team, you will contribute to the next generation of algorithms used to generate the Netflix experience by driving the vision, requirements, design, implementation, testing, and ownership of software components essential for our algorithmic innovation. You will collaborate with our applied researchers and data scientists to implement scalable, flexible, production-ready solutions for our algorithms. You will also guide the team towards better software engineering practices and systems by identifying areas for improvement and mentorship. You will collaborate with other engineers to create solutions that are used beyond our team. To excel in this role, you should have a robust software engineering background, a keen sense of software engineering principles and design, a proven experience with large-scale applications involving machine learning, a love of learning, possess strong communication skills, and the ability to work well in large cross-functional teams.What We Are Looking ForA degree in Computer Science or a related field 4+ years of full time software engineering experience with a bachelor’s degree; or 2+ years of experience with a graduate degreeExcellent software design and development skills in Python along with Scala, Java, C++, or C#Solid understanding of various software engineering best practices and their appropriate applicationExperience building web-scale parallel and distributed computing systemsExperience with large-scale data frameworks such as Spark or FlinkExcellent collaboration skillsBroad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systemsPreferred, But Not RequiredExperience building or enhancing personalization systems, machine learning platforms, search engines, or similar large-scale machine learning applications.Experience building machine learning models or LLMsExperience scaling and optimizing the training and serving of machine learning modelsExperience with machine learning libraries TensorFlow, PyTorch, JAX or KerasExperience with cloud computing platforms like AWSBackground in math, statistics, or numerical computationSignificant contributions to open-source projectsNote: Level and compensation are determined based on your demonstrated experience, skills, and interview performance. We have several open positions within the personalization, search, and recommendations space. The specific role will be determined based on the candidate's skills and fit, which will be evaluated after the initial round.What Do We OfferOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Machine Learning Software Engineer L4/L5
+36,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Ads/Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our teams develop a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, vertical solutions, creative solutions, and business integrity.This channel serves as the entry point for our general hiring process: you will go through two to three rounds of technical interviews and then proceed to team matching. Your profile will be reviewed by multiple teams within Monetization Technology, which is a great benefit!If you see the “General Hire” in the title of this position, it means that the position is for multiple departments. After applying for this role, your profile will be considered for multiple openings across the department; team-matching will be conducted by hiring managers based on your interview results.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Key Responsibilities Participate in the development of a large-scale Ads system. Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the TikTok ads monetization ecosystem. Work with product and business teams on product vision.QualificationsMinimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, or other relevant majors. Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python. Experience with deep learning and machine learning. Ability to think critically and to formulate solutions to problems in a clear and concise way.Preferred Qualification Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,(General Hire) Machine Learning Engineer Graduate (Advertisement Team) - 2025 Start (BS/MS)
+37,2025-03-25,Mountain View,California,Intuit,https://www.intuit.com/,"Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
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+We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations. ","OverviewIn this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...What you'll bringModel Prototyping: The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models.Model Productionalization: Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models.Model Enhancement: Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose.Machine Learning Tools: The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling.QualificationsBS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).How you will leadDiscover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $132,000 – 178,500, Bay Area California $136,00 – 184,000, Southern California $122,500 – 165,500 . This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.",Associate,Machine Learning Engineer 2
+38,2025-01-21,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+39,2025-03-21,Plano,TX,Toyota North America,https://careers.toyota.com/us/en,"At Toyota, we’re known for making some of the highest quality vehicles on the road. But there is more to our story. We believe in putting people first and creating opportunities for our team members to build careers as unique as they are. As one of the world’s most admired brands, we are leading the way to the future of mobility, so everyone can move freely, happily and comfortably. We have big dreams and believe that nothing is impossible. 
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+Ready to Dream, Do and Grow with us? Visit https://careers.toyota.com/us/en for information on career opportunities at Toyota.
+","Magnit Direct Sourcing on behalf of Toyota is currently hiring for a Machine Learning Engineer role for a temporary, onsite assignment in Plano, TX.This position is a 6-month assignment, with potential to extend. The pay range for this role is between $43.15 - $70.37/Hr. Benefits: Medical, Dental, Vision, 401K.Title: Machine Learning EngineerLocation: Plano, TX.Duration: 6 monthsDescriptionWhat we’re looking for We are seeking a skilled Machine Learning Engineer to join our team and help transform and modernize critical data science models from legacy code and systems to modern cloud-based solutions using Python, AWS SageMaker, and Snowflake. We are looking for a candidate who excels in writing high-quality Python code that adheres to industry and internal coding standards and is proficient with our modern tech stack.In addition to development, a key focus of this role will be designing and implementing comprehensive testing strategies, including unit, integration, and end-to-end tests. Additional responsibilities will include helping to build, release, and maintain model pipelines and model APIs. This will involve working with our cloud tech stack, CI/CD pipelines, and containers, and collaborating with data scientists, machine learning engineers, DevOps, and InfoSec teams to deploy new projects and ensure the success of model releases and retraining activities.What You’ll Be DoingTransform legacy code into robust, high-quality Python code that complies with internal coding standards and includes comprehensive test coverageWork with the machine learning engineering team to develop and implement robust testing strategies, including unit, integration, and end-to-end testsBuild a maintain scalable machine learning pipelines on AWS cloud platforms using SageMaker and SnowflakeAssist in deploying machine learning models into production environments, ensuring scalability, reliability, and performanceMaintain and monitor existing pipelines and model APIs to ensure optimal functionalityWork closely with data scientists, machine learning engineers, DevOps and InfoSec teams to initiate and manage various releasesTranslate business requirements into technical solutions through effective communicationTranslate technical project details into clear documentation and intuitive diagrams that help integrate information flows with upstream and down stream teamsRequirementsGraduate degree in a quantitative discipline (or equivalent experience) or will be completed within three months.Proficiency in Python and SQL development.Experience with modern software development practices, including version control systems and infrastructure-as-code.At least one year of relevant work experience is requiredExperience in building and deploying machine learning models in cloud environments (AWS, Snowflake)Desired:""Highest degree specifically in: Statistics, Mathematics, Physics, Engineering, Computer Science, Economics / Econometrics, Finance, Data Science, Machine Learning, AI, Financial Engineering, Computational Finance, Operational Research, Industrial Engineering. ""Active AWS Solutions Architect Associate certificationExperience with SAS (statistical analysis) programming languageExperience working with API frameworks (Flask, FastAPI) and Amazon SageMakerAbility to design and implement comprehensive testing strategies.Talented, dedicated people are an integral part of our mission to build the best workforce, working together to create the future of mobility and make the world a better place. We are always on the lookout for diverse, driven, and collaborative talent interested in performing contract work for Toyota.Click here to join our talent network and be the first in line when a new contingent job opportunity opens at Toyota through Magnit Direct Sourcing.Magnit is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.QUALIFICATION/LICENSUREWork Authorization : Green Card, US CitizenPreferred years of experience : 4 yearsTravel required : No travel requiredShift timings : 9 AM to 5 PM",Entry level,Machine Learning Engineer
+40,2025-03-30,San Francisco,California,"Reddit, Inc.",http://redditinc.com,"Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. Share, vote, and decide what matters in everything from breaking news, to fandoms, lifehacks, gaming, sports, health, and the internet’s cutest animals. With over 100,000 subreddit communities about every topic you could think of (and thousands more you couldn’t), whatever it is, there’s a place for you on Reddit. 
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+Interested in joining our growing team? Check out redditinc.com/careers.","Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.Location:This role is completely remote-friendly. If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like.Team DescriptionThe Search & Recommendation Relevance team focuses on delivering the most relevant results and recommendations when users search for anything on Reddit. Our systems and algorithms operate on the world's largest corpus of human conversation, showcasing the best answers and opinions from all across Reddit on any topics, empowering discovery.We are looking for Machine Learning Engineers across multiple levels to shape the future of Search products at Reddit.Role DescriptionIn this role, you will contribute to advancing our current search systems as well as building and iterating on Reddit Answers, our next generation AI-driven search product. As a Machine Learning Engineer, you will:Develop and enhance Search Retrievals and Ranking models - from optimizing lexical search (e.g. SOLR tuning) to designing and iterating on semantic models and ranking systems. Design and build pipelines and algorithms that make it effortless for users to find high-quality answers - whether it's recommendations for the best hiking trail, travel advice, or reviews of the next product or restaurant. Collaborate with product managers, data scientists, ML modelers and platform engineers to build a state of the search recommender system.Develop and test new components in our pipelines, deploying ML models, integrating LLMs, and ensuring effective monitoring and product integration.Leverage your technical expertise to ensure our pipelines maintain high uptime and low latency, while collaborating with other technical leaders to develop a long-term roadmap that aligns with the needs of a constantly evolving search product ecosystem. This is a high-impact role where you will be involved in technical & product strategy, operations, architecture, and execution for one of the largest sites in the world. Required Qualifications3-10+ years of industry experience as a machine learning engineer or software engineer developing backend / infrastructure at scale. Experience in working and building machine learning models using PyTorch or Tensorflow.Experience working with search & recommender systems and pipelines.Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Golang.Experienced with GraphQL, REST, HTTP, Thrift or gRPC basics, and the ability to design and implement maintainable APIs. Deep systems level understanding of industry scale recommendation systems.Experience of developing applications using large scale data stack - e.g. Kubeflow, Airflow, BigQuery, GraphQL, Kafka, Redis etc.BenefitsComprehensive Healthcare Benefits401k MatchingWorkspace benefits for your home officePersonal & Professional development fundsFamily Planning SupportFlexible Vacation (please use them!) & Reddit Global Wellness Days4+ months paid Parental LeavePaid Volunteer time offPay TransparencyThis job posting may span more than one career level.In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.The Base Pay Range For This Position Is$185,800—$322,000 USDReddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.",Mid-Senior level,"Machine Learning Engineer, Search (multiple levels)"
+41,2025-03-20,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.To meet our members’ entertainment needs, Netflix has invested in scaled Content Production & Promotion workflows. With assistance from creative supervision and member feedback data, we have built tools & processes that use technologies like Computer Vision, Graphics, Machine Learning & Generative Algorithms to enable our creators to tell the best version of the story they want while allowing our studio to scale further.The Content & Media ML Foundations team within Data Science and Engineering, builds and delivers high-leverage foundational ML solutions using Netflix’s unique media data, driving impact across content creation and promotion, member personalization and advertising (Ads). Our work advances multi-modal content understanding, and we conduct exploratory research on generative models to drive long-term innovations in filmmaking and media intelligence.We are looking for an experienced ML engineer to develop, optimize and deploy scalable ML solutions that power content intelligence at Netflix.ResponsibilitiesDesign, build and optimize ML pipelines for content understanding and media intelligence. Develop and deploy large-scale ML models efficiently using Netflix’s ML infrastructure.Optimize model performance and inference efficiency, ensuring scalability in high-throughput distributed environments. Automate ML workflows for training, tuning and deployment, enabling faster experimentation and productization.Collaborate with ML scientists and engineers to integrate multimodal models and embeddings into downstream applications, including retrieval, ranking and search pipelines. Improve ML observability, model evaluations, model monitoring, and debugging tools to ensure reliability of deployed models. Stay up to date with ML infrastructure advancements, identifying new technologies and best practices to enhance efficiency. About YouYou have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures. You have a track record of deploying ML systems at scale, particularly in high-performance inference and distributed training environments. You have hands-on experience with training large generative models across multiple modalities (text, images, videos).You have a strong understanding of feature engineering, data pipelines, and model lifecycle management.You hold an advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence or computer vision.You have at least 5 years of relevant industry experience designing and implementing ML models, particularly in the areas of natural language processing, audio and video understanding.You are proficient in Python and have experience with ML/DL frameworks such as PyTorch, or Jax.You excel at complex problem solving with innovative solutions, developing novel algorithms, and adapting existing methods from literature to new challenges. You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.You thrive in fast-paced dynamic environments, contributing positively to team collaboration and company culture.Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000 - $750,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Machine Learning Engineer (L5) - Content & Media ML Foundations
+42,2025-01-12,New York,New York,Arthur,https://arthur.ai/,"The AI Performance Company. We work with enterprise teams to monitor, measure, and improve machine learning models for better results across accuracy, explainability, and fairness. We are deeply passionate about building technology to make AI work for everyone. 
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+Arthur is an equal opportunity employer and we believe strongly in ""front-end ethics"": building a sustainable company and industry where strong performance and a positive human impact are inextricably linked. 
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+We're hiring! Take a look at our open roles at arthur.ai/careers.","About ArthurAt Arthur, we are deeply passionate about building technology to make AI understandable, effective, and fair. Arthur makes machine learning work for enterprises through performance monitoring, explainability, and bias detection. We believe strongly in front-end ethics: building a company and industry where strong performance and a positive human impact are inextricably linked. This position is a rare (and fun!) opportunity to help shape the future of AI and its real-world impact.About The RoleArthur is looking for product-focused Machine Learning Engineers to join our team, to operate with autonomy and with the support of the team to lead and build out our product vision and deliver value to our customers.What You'll DoFocus on ML, especially LLMs, model performance, security, and robustness: make LLMs and model-based systems respond accurately, quickly, and comprehensively to general and task-specific interactions by both natural and adversarial users - for example, checking veracity of responses, hardening against prompt injection, query-based routing to different models, and generation of evaluation datasetsBuild out new techniques and tooling in ML model monitoring: data drift detection, high-dimensional density estimation, time series anomaly detection; detection and mitigation of issues in fairness and bias in ML algorithmsRun machine learning experiments independently and in collaboration with product teams, and communicate results to internal stakeholders as well as the broader ML community via publications in top-tier conferences, industry conference presentations, deep technical blogs, and eventsDrive value creation using our product with our customers in collaboration with our customer teams by engaging in targeted and focused short-term project work to understand, experiment, refine and deploy ML-enabled features for customer use-casesStay up to date on the latest developments in the field - we operate in a nascent space with plenty of signal and plenty of noise coming from arXiv and open source projectRequirementsWhat we're looking for2+ years of professional experience in software engineering, ideally providing strong ML support (or equivalent)Deep experience writing production-grade PythonExposure to (or experience) ML frameworks, such as JAX, Tensorflow, or PyTorchUnderstanding of software engineering best practices, version control, and containerizationCustomer empathy and a willingness to engage directly with customers and stakeholdersExperience deploying ML models to productionDeep interest in LLMs (to start) and multimodal generative models (soon!), specifically using these to build softwareYou might also have (nice to have, definitely not required)Experience with comprehensive model risk managementExperience with public cloud services, such as AWS, Google Cloud, or AzureExperience or interest in interactive machine learning, HCI, human-centered ML and LLM evaluation, etcKnowledge of and ability to (re)learn statistical methods and contemporary ML algorithmsBenefitsWhat to expect at ArthurTeammates who value curiosity, hard work, collaboration, and creative problem-solving -- and good swagA team of professionals who are passionate about our work and making a positive impact through AIA caring culture; we value and prioritize our team's physical and mental health, encouraging and celebrating life outside of workAutonomy to pursue your role and interests with room to grow, with a team behind you that always has your backJoy, humor, and a little dose of healthy competition (in our business, we win as a team; on company game night, may the best Arthurian win...)We offerCompetitive compensation plus medical, dental, and vision insurance, and a 401K (with matching)Our target base salary range for this role is $160,000 - $230,000, based on level of experience and how your skills align with role requirementsEquity in what we're building together, backed by some of the most respected VCs in the industryA flexible learning and development budget: we'll support ways to learn and grow in the areas that matter to youHighly discounted wellness and fitness benefitsFlexible PTO with vacation minimums, which we really want you to take and enjoyThe ability to work in a highly flexible hybrid environment - both from home, and from our NYC office with our team",Mid-Senior level,Machine Learning Engineer
+43,2025-03-23,Mountain View,California,Intuit,https://www.intuit.com/,"Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
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+We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations. ","OverviewIn this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...What you'll bringModel Prototyping: The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models.Model Productionalization: Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models.Model Enhancement: Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose.Machine Learning Tools: The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling.QualificationsBS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).How you will leadDiscover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $132,000 – 178,500, Bay Area California $136,00 – 184,000, Southern California $122,500 – 165,500 . This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.",Associate,Machine Learning Engineer 2
+44,2025-03-30,Redwood City,California,Moloco,http://www.moloco.com/,"Moloco’s mission is to empower businesses of all sizes to grow through operational machine learning. With Moloco’s machine learning platform for growth and performance, every app publisher, commerce marketplace, and streaming business can now unlock the value of their unique, first-party data. 
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+Moloco Ads enables performance marketers to scale user acquisition for mobile apps through our advanced machine learning models. 
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+Moloco Commerce Media enables retailers and marketplaces to build their own ads business with a flexible solution that delivers relevance, results, and automation for scaled and streamlined ad operations. 
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+Moloco Streaming Monetization enables streaming media companies to revolutionize their monetization strategy by building an outcomes-based ads business that delivers relevancy for users and results for advertisers. 
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+Moloco was founded in 2013 by a team of machine learning engineers and has offices throughout the US, the UK, Germany, Korea, China, India, Japan, and Singapore.","About Moloco:Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data— the same robust performance powered by machine learning has previously been unavailable beyond their platforms.That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. In 2023, we received Google’s Cloud DevOps Dreamers Award, a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work! Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and YouTube.Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv and Tokyo.Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our mission -- to empower businesses of all sizes to grow through operational machine learning.Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!The Impact You’ll Be Contributing to Moloco:We are an engineering company founded by engineers. We understand the value of a strong engineering team and strive to hire only the best engineering interns.We are seeking exceptional Machine Learning interns to join us in building a state-of-the-art machine learning system. Moloco’s programmatic advertising engine is powered by custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies. As an intern, you can expect to be a full member of the team you join and will be treated as a junior engineer, with the same expectations, project opportunities and responsibilities. Some examples of past intern projects are:Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.Building machine learning productivity tools (e.g. model quality measurement), deploy them in Kubernetes, and help model engineers adopt them.Minimum Qualifications:Able and willing to work from our Redwood City, CA office.Available to work during the summer of 2025 (May through September).By the start of the internship, actively enrolled in a Bachelor's, Master’s or PhD program in Computer Science, or a related technical field, and returning back to the school program at the completion of the internship.Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2026.Preferred Qualifications:Strong background in data structures and algorithms.Strong coding and problem solving skills.Familiar with distributed systems and/or databasesFluent with at least one programming languageOur Compensation And Benefits (for United States Residents Only)In accordance with various state laws, the range provided is a reasonable estimate of the base pay for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.Base Pay Range:$9,600—$11,500 USDMoloco Thrive: Benefits and Well-Being:We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. For an overview of our global benefits, click here.Moloco ValuesLead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. Additional Resources: Moloco Company Blog Moloco LeadershipMoloco Newsroom Equal Opportunity: Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression, and gender identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.Candidate Privacy Notice:Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.",Internship,Machine Learning Engineer Intern
+45,2025-04-07,Brooklyn,NY,Etsy,http://www.etsy.com,"Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. Etsy Inc. employees – whether a team member of Etsy, Reverb, or Depop – tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
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+Founded in 2005, Etsy is headquartered in Brooklyn, NY with additional offices in Dublin and Mexico City. As of December 31, 2023, our marketplaces connect 9 million active sellers – including 7 million on Etsy.com, 80% of whom are women – and 96 million active buyers in nearly every country in the world. In 2023, we facilitated over $13 billion in transactions.","Company DescriptionEtsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.Salary Range$153,000.00 - $199,000.00What’s the role?Etsy is looking for a Machine Learning Engineer to join our Growth team. This team focuses on improving the buyer experience and increasing the number of visits that turn into purchases (aka driving conversion!). You'll help us build systems and tools that personalize the shopping journey, ensuring buyers find relevant information at the right time, ultimately helping them discover the perfect handmade or vintage item.We’re building a new machine learning team to support our product engineering squads, where you’ll play a key role in shaping how we understand our buyers and tailor their experiences. You'll work hands-on with a cross-disciplinary team to deliver robust, scalable production models and tools that will be A/B tested live on Etsy.com. Staying at the forefront of ML research, you’ll bring its best ideas to life for millions of Etsy shoppers.Does using the latest machine learning techniques to help people find the perfect item sound exciting to you? If so, we’d love to hear from you!This is a full-time position reporting to the Senior Engineering Manager, Growth. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here.What’s this team like at Etsy?Historically, our full-stack engineers have relied on enablement teams for features requiring machine learning solutions. With this new squad, you and four teammates will directly support four product squads (spanning web and mobile) to apply machine learning techniques that align with our broader goal of increasing sales.Here’s a glimpse of the problems you’ll help solve:Increase personalized engagement: use machine learning to identify the most effective moments and methods to engage buyers, tailoring their journey to inspire confidence and increase the likelihood of a purchase.Leverage generative AI to differentiate the experience: Use the latest developments in LLMs to enhance the customer experience across buyer touchpoints, making the shopping journey more intuitive and efficient.Build scalable and modular systems across our mobile app and web platforms, ensuring seamless integration and event logging.This team plays a critical role in shaping how buyers interact with Etsy, helping them discover what they love while driving meaningful business outcomes.What does the day-to-day look like?Collaborate in a cross-functional team to prioritize and execute projects that align with our product goals.Leverage experimentation and data: Use insights from previous experiments and research to ideate and implement efficient ML solutions.Partner closely with ML engineers, full-stack engineers, applied scientists, and product managers to develop and test large-scale experiments.Optimize ML models to meet latency SLAs at Etsy’s scale and launch live A/B tests to validate hypotheses.Build, deploy, test, and maintain scalable ML models by applying cutting-edge research and industry practices.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.Qualities that will help you thrive in this role are:You have experience developing impactful solutions to machine learning & NLP problems involving some or all of the following parts of the pipeline: data extraction, developing and training machine learning models, and working the new model into production applications.You have experience building scalable solutions taking into account localization specific needs to cater to global customer needs. You have strong engineering and coding skills, with the ability to write high quality production code. Proficiency in Python, Scala, Java, PHP and/or other equivalent languages. You have experience working with machine learning frameworks such as scikit-learn, PyTorch, TensorFlow/TFX and data engineering tools like Spark, Kubeflow or Airflow. In this role, you will focus on using these frameworks to build end-to-end production systems. You are a mindful, empathetic, and communicative member of your team.Continuous and recent experience of pushing production level Machine Learning code. You are product-minded and passionate about leveraging ML to enhance user experiences.Are an analytical thinker and understand how to wield data to make informed decisions about your work.An M.S. in Computer Science or related engineering fields, or 3+ years of practical machine learning experience interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.Additional InformationWhat's NextIf you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.Our PromiseAt Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.",Entry level,"Machine Learning Engineer II, Growth"
+46,2025-03-31,San Jose,CA,Cisco,http://www.cisco.com,"Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience.  With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. ","The application window is expected to close on: April 14, 2025.Meet the TeamCisco Webex is the world's #1 business collaboration and customer engagement platform. It is used across all industries in the world being used to support governments, business, education, and more, including use by 85% of Fortune 500 business.The workplace of the future will be powered by AI, and we, Collaboration AI, is the team responsible for building AI/ML intelligent experiences within Cisco’s Webex portfolio. The team is made up of multiple major AI fronts to enrich the collaboration use cases. This, in the order of processing pipeline, includes audio codec technologies, automatic speech recognition (ASR), text-to-speech (TTS), natural language processing (NLP) using and training LLMs and beyond, and gen-AI evaluation methodologies, both metric-based and subjective testing. In addition, videos are empowered via computer vision (CV) and additional contextual information by employee graphs, and much more.We aim to build the next-generation AI solutions in collaboration software, devices, and APIs - from digitizing the in-meeting experience, enhancing distributed team efficiency and improving all aspects of people connection.What You’ll DoAs a Senior Machine Learning Engineer on the Collaboration AI team, you will innovate NLP/LLM solutions for Webex products.You are expected to be a main contributor in our AI technology space and bridge the gap between the fast evolving open-source AI landscape and the Webex user experience. You'll drive technological advancement while bridging cutting-edge AI developments with practical user experiences. Your responsibility will include, but not limited to, the following:Explore and implement next-gen LLM technologies, focusing on retrieval-augmented generation (RAG), AI agents, and agentic workflows. Fast prototype innovative concepts and create viable paths to production. Conduct applied ML research and follow the systematic methodology: Establish benchmarking methods, evaluate against baselines, perform ablation studies, and deliver actionable recommendations. Balance technical trade-offs to determine optimal production solutionsCollaborate with system engineers, product managers, and client teams to drive productizationLevel up the team's AI/ML savviness as an AI knowledge catalyst. Who You’ll Work WithYou’ll join a small, high-caliber team of ML specialists, large scale systems pros, NLP, Speech, and CV practitioners and researchers, product gurus, customer artiste, and world-class designers who are all low ego and humble, and passionate about the future brought by AI. We adapt quickly, continuously improve, and deliver high-impact results. We’re not only aiming to build AI applications; we strive to build the best applications of AI the world has ever seen.Many of our engineers have founded their own startups prior to forming Collaboration AI, and they bring a wide and diverse set of industry experience and expertise with them. We draw on this well of experiences every day as we collaborate on our own product, tech stack, and go to market strategy. We're highly collaborative, committed to building great things, and consider it a privilege to learn from each other every day.Minimum Requirements M.S. or Ph.D. in Computer Science, Mathematics, or a related field.  5 + years of experience with Natural Language Processing  2+ years of experience implementing LLM technologies, systems, and applications  Proficiency with deep learning frameworks (e.g., PyTorch, JAX, Keras, TensorFlow), ML ecosystems (e.g., Hugging Face) and production Python programming skills Preferred RequirementsProven experience deploying NLP/LLM solutions in production environmentsStrong judgment to assess practical value versus industry hypeDemonstrated persistence in problem-solving complex challengesDeep intellectual curiosity in emerging AI technologies Engineering mentality at heartResearch contributions in NLP (publications, patents, presentations) are a plus#WeAreCisco#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.",Not Applicable,"Senior Machine Learning Engineer, NLP"
+47,2024-11-13,,,"Paradyme, a CATHEXIS Company",,,"OverviewParadyme, a CATHEXIS Company is a rapidly growing government technology leader that puts service first, for its customers, its team and the communities it supports. We harness DevSecOps and Agile development processes to deliver exceptional results for digital transformations. With headquarters office in Tysons Corner, VA, our award-winning culture sets it apart through its team’s deep commitment to service and collaboration with its customers, each other and the community. Learn more at www.paradyme.us .ResponsibilitiesParadyme, a CATHEXIS Company is hiring a Data Scientist /ML Engineer to support mission critical programs.DutiesThe Data Scientist /ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide customers with the information they need to make proper decisions and enable their digital transformation. Duties include: Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization.  Collaborating with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use new data elements.  Driving adoption and scalability of Generative AI and Deep Learning systems within products. Qualifications Masters degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields or Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields with one year of relevant work experience.  Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning).  Strong mathematical background (linear algebra, calculus, probability, and statistics).  Proficiency in Python and objected-oriented programming, e.g. JavaScript  Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc.  Ability to drive a project and work both independently and in a cross-functional team.  Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment.  Excellent verbal and written communication. Preferred Qualifications Experience with scalable ML (MapReduce, Spark).  Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning.  Experience with reinforcement learning.  A portfolio of projects (GitHub, papers, etc.). California Pay Range$123,000 — $185,000 USDPhysical Requirements: These are the essential physical requirements needed to successfully perform the job.Sedentary work.Requires sitting up to 8 hours per day.May require lifting up to 5 pounds unassisted.Fine repetitive motor skills with hands, wrists, and fingers in coordination with eyes.Hearing, speaking, and vision: Adequate to perform job duties and communicate in person, via video, and telephone. Includes reading information from printed sources and computer screens.Other: Work may be performed in an office environment, which may involve frequent contact with staff and the public. Work may be stressful at times. EEO Statement Paradyme, a CATHEXIS Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact HR@paradyme.us",Entry level,Data Scientist / ML Engineer
+48,2025-03-21,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.Our TeamThe Ads Measurement & Reporting Engineering squad builds systems and integrations that enable advertisers on Netflix to quantify campaign outcomes. Leveraging a blend of Netflix innovations and both first-party and third-party solutions, we deliver ads that respect the viewing experience while driving impactful results for advertisers in a way that preserves user privacy. Our tools empower advertisers to effectively measure and analyze these outcomes.Our team is new, yet we have enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the rapidly growing Connected TV advertising space, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.Skills & Experience We’re SeekingStrong experience building integrations with data clean rooms to support multi-party data sharing for ads use-cases, especially those supporting audience onboarding, targeting, measurement, etc.Strong understanding of GDPR, CCPA, differential privacy, and data governance best practices.Familiarity with digital advertising, adtech/martech ecosystems, and regulatory landscape.Worked closely with ad operations to enable campaign setup, measurement, targeting, reporting, and advertiser needs.Technical ExpertiseProficiency in SQL, Python, or Spark for querying and analyzing large datasets.Experience with data pipelines, ETL, and cloud platforms (AWS, GCP, Azure).Understanding of privacy-preserving techniques (e.g., encryption, federated learning, synthetic data).Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.Ability to work cross-functionally with engineering, legal, and marketing teams.Experience working with advertisers, publishers, or clean room technology providers.Experience with audience activation or measurement, and privacy-safe data collaboration.Nice To HavesContributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, working group etc.Experience working in the CTV space and knowledge of its unique constraintsOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.Netflix is a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Software Engineer 5, Data Clean Room"
+49,2023-11-29,,,Ritual,https://ritual.net,"Ritual is an open, sovereign execution layer for AI. Seamlessly integrate AI into your app or protocol on any chain, enabling you to fine-tune, monetize, and perform inference on models with cryptographic schemes.","About RitualRitual is building a sovereign, execution layer for AI, with our private testnet already live and running. The Ritual chain is the first blockchain custom-built to support AI-native operations, designed from the ground up to enable a new class of applications at the intersection of crypto and AI. Our first product, Infernet, is pioneering new ground as the first solution to enable developers to access AI models both on-chain via smart contracts and off-chain, demonstrating our commitment to bridging these transformative technologies.About The RoleWe are looking for a talented and motivated Machine Learning Product Engineer to join our team. In this role, you will work on a variety of projects related to applied machine learning, including working with the product team on automating Data ETL pipelines, deploying machine learning models, and shipping customer-facing products.Scale up model inference and running predictions at scale on cutting-edge modelsWork end to end to connect ML models to human interfaces (e.g. APIs, browsers, and applications) Designing and implementing large-scale data and ML pipelines through a full end-to-end product development lifecycle Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations teammates to create cutting-edge products About YouExperience as a software engineerExperience building and serving machine learning modelsFamiliarity with Python and related ML frameworks such as PyTorch, Tensorflow, Jax, and other open-source stacks such as HuggingFaceAbility to reason through machine learning system tradeoffs A high level of end-to-end ownership and self-directionExtrasFamiliarity with basic machine learning system stacks e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etcFamiliarity with DataOps, MLOps, and ML orchestration pipelines Understanding of modern ML architectures and intuition for inference performance tradeoffsExperience or interest in working on open-source ML productsInterest in building tech aligned with user privacy, computational integrity, and/or censorship resistanceExperience at fast-growing companies or startupsWhy join usJoin a passionate group of engineers, researchers, and operators on a mission to build the next generation of AI infrastructure Highly competitive compensation package, including annual discretionary bonus & optimized tax structure compared to the vast majority of web3 startupsTop 1% of benefits across the web3 startup space100% of premiums covered on highest quality healthcare Aggressive company 401k matchFully remote and/or hybrid, up to you!Participate in virtual and in-person eventsMuch much more!",Entry level,Machine Learning Engineer
+50,2025-03-12,Bethesda,MD,Lockheed Martin,https://www.lockheedmartin.com,"The world relies on what we do. 
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+Headquartered in Bethesda, Maryland, with offices across the U.S. and around the globe, our team delivers solutions that strengthen national security, shape industries and push engineering  and technology to new levels. We collaborate to win. We put our customers first. And we perform with excellence.
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+The best careers are built at Lockheed Martin. Join us.","Basic Qualifications Bachelor’s Degree in Engineering, Computer Science, or other related discipline Experience with large dataset management, exploration, visualization, and analysis Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn, Keras, etc) Experience with Python and multiple libraries (NumPy, SciPy, Pandas, etc.) Basic knowledge of training and analysis steps in a modern MLOps pipeline including labeling, local and global explainability, model export and serialization, conformance testing, deployment, and monitoring Familiarity with radar systems engineering, radar track processing, and general digital signal processing Ability to obtain a Secret government security clearanceJob Code/TitleE9852:A/AI Mch Learn EngnrJob DescriptionThe Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence and machine learning to support the Applied AI team and product portfolio, focusing on a broad range of projects across the LAIC. The team is focused on exploiting small, innovative and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise and leveraging machine learning operations paradigms to provide continuous maintenance for deployed products.The selected candidate for this role will focus on the monitoring and maintenance of fielded AI capabilities and on the development of new capabilities to enhance ML monitoring and continuous update processes for deployed systems. Activities will span analysis of customer data, ML model performance assessments, ML model updates, & new capability development to address evolving operational requirements.Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills.The selected candidate is required to work at major Lockheed Martin facilities that support relevant customer platforms including LM Moorestown, Valley Forge, Colorado, and Orlando between 50% and full time on site depending on mission needs. Off hours work is occasionally required to meet mission requirements to support updates to and real time monitoring of customer mission systems. Flexible hours are available outside these requirements.What’s In It For YouFrom onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here.Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.Must be a US citizen.#LMLAICDesired Skills Master’s Degree in Engineering, Computer Science, or other related discipline Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD] Familiarity interfacing with databases (SQL, MongoDB, etc.) Experience with modern Computer Vision Experience with C++, Java, GO, and other compiled languages Experience developing applications on Linux Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.) Familiarity with high-performance computingOther Important InformationBy applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Ability to work remotelyPart-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.Select the Telework classification for this positionEmployee will telework < 50%Ability to TelecommutePart time telecommutingShiftFirstWork Schedule InformationLockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.Work Schedule4x10 hour day, 3 days off per weekSecurity ClearanceNoneLMCareers Business UnitENTERPRISE BUSINESS SERVICESProgramLAICDepartment50143:Artificial IntelligenceJob ClassArtificial IntelligenceJob CategoryExperienced ProfessionalCity, StateKing of Prussia-PA, Littleton-CO, Moorestown-NJ, Orlando-FLCityKing of Prussia, Littleton, Moorestown, OrlandoZip08057, 19406, 32825, 80127VirtualnoRelocation/Housing Stipend AvailablePossibleReq TypeFull-TimeDirect/IndirectDirect Join us at , where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.As a leading technology innovation company, ’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.EEOLockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.National Pay StatementPay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $86,100 - $151,800. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.This position is incentive plan eligible.Premium Pay StatementPay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $99,000 - $171,580. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.This position is incentive plan eligible.",Entry level,AI / Machine Learning Engineer
+51,2025-03-26,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize , build, and scale content. It’s a natural extension of the technology Adobe has produced over the past 40 years.At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models and the associated prompt engine. This is an opportunity to reach millions of creatives, helping them recreate the way they work.What You Will Do Develop and optimize machine learning solutions with cutting-edge architectures that impact millions of users across Adobe’s products.  Enhance Firefly’s inferencing pipeline to power generative AI features across multiple platforms, including Firefly Web, Photoshop, Illustrator, Express, and Stock.  Design GPU-optimized, efficient model pipelines that serve diverse modalities such as images, vectors, and 3D assets.  Ensure scalability and reliability of Firefly’s cloud services, incorporating observability, logging, and tracing to enable rapid issue detection and resolution.  Develop key business logic for Firefly services, including usage metering, entitlement checks, quota management, and upsell workflows. What You’ll Need To Succeed PhD or Master’s in Computer Science , Computer Engineering, Computer Vision, Robotics, or a related field—or equivalent experience.  3+ years of hands-on experience developing production-grade machine learning models using PyTorch and Python.  Proven expertise in GPU-intensive ML workloads , including optimization, scaling, and deployment in production environments.  Strong knowledge of model serving and orchestration , including GPU resource management for scalable ML systems.  Deep understanding of Visual Foundation Models (e.g., Transformers, Diffusion) and Multimodal Language Models (e.g., Text-to-Image, Image-to-Text, Text-to-Video), including evaluation methodologies and productization challenges.  Excellent problem-solving skills , with the ability to analyze complex issues and drive solutions with a data-driven approach.  Strong collaboration and communication skills , with a proven ability to work in cross-functional teams. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status.#FireflyGenAIOur compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,"Machine Learning Engineer, Generative AI"
+52,2025-04-09,Washington,DC,Sayari,http://www.sayari.com,"Sayari provides global corporate transparency and supply chain risk identification for government and industry. Its commercial risk intelligence software harvests comprehensive corporate and trade data from more than 250 jurisdictions worldwide and surfaces previously hidden risk insights in an intuitive network analysis platform.
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+Since its founding in 2015, Sayari has earned the trust of top financial institutions, Fortune 100 corporations, and government agencies, securing a $40M Series C in 2021. Sayari is headquartered in Washington, D.C., and its solutions are used by thousands of frontline analysts in 35 countries. ","About Sayari: Sayari is the counterparty and supply chain risk intelligence provider trusted by government agencies, multinational corporations, and financial institutions. Its intuitive network analysis platform surfaces hidden risk through integrated corporate ownership, supply chain, trade transaction and risk intelligence data from over 250 jurisdictions. Sayari is headquartered in Washington, D.C., and its solutions are used by thousands of frontline analysts in over 35 countries.Our company culture is defined by a dedication to our mission of using open data to enhance visibility into global commercial and financial networks, a passion for finding novel approaches to complex problems, and an understanding that diverse perspectives create optimal outcomes. We embrace cross-team collaboration, encourage training and learning opportunities, and reward initiative and innovation. If you like working with supportive, high-performing, and curious teams, Sayari is the place for you.Internship Description:Sayari is seeking a Machine Learning Engineer Intern to join our growing Machine Learning team. In this role, you will work on developing and enhancing machine learning models that power our risk intelligence platform. This internship offers hands-on experience with real-world data on production machine learning systems at scale. You will work closely with our Data and Product teams to build, evaluate, and release ML models and features. Your contributions will directly impact Sayari's mission of enhancing visibility into global commercial and trade networks.This is a remote paid internship with work expectations being between 20-30 hours a week.Job Responsibilities:Develop and improve machine learning models for trade classification, entity classification, and entity resolutionImplement data preprocessing pipelines and feature engineering techniquesEvaluate model performance using appropriate metrics and validation techniquesCollaborate with data engineers to integrate ML models into production systemsResearch and experiment with new machine learning approaches to solve complex problemsSkills & Experience:Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or related technical fieldStrong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learnUnderstanding of fundamental machine learning concepts and algorithmsExperience with data manipulation libraries (pandas, NumPy) and SQLStrong analytical and problem-solving skills with excellent communication abilitiesPreferred Qualifications: Experience with distributed computing frameworks like Apache Spark Familiarity with MLOps tools and practices (MLflow, model versioning, CI/CD for ML) Knowledge of natural language processing techniques and graph algorithmsExperience in performance optimization for machine learning models and pipelinesExperience working with LLM assistants and toolsWhat We Offer:  A collaborative and positive culture - your team will be as smart and driven as you Limitless growth and learning opportunities A strong commitment to diversity, equity, and inclusion Team building events & opportunitiesSayari is an equal opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply.",Not Applicable,Machine Learning Engineer Intern
+53,2025-04-04,"Provo, UT and Seattle, WA",,Qualtrics,https://www.qualtrics.com/,"At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 19,000 clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. That’s where we come in. 
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+Founded in 2002, our company has spent over 21 years working with the industries that impact you every day. From retail to government to healthcare, we’ve been on a mission to bring humanity, connection, and empathy back to business. It’s a mission that thousands of Qualtricians across the globe think is work worth doing.
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+Mission: At Qualtrics, our mission is to build technology that closes experience gaps.","At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.Machine Learning Engineer IWhy We Have This RoleWe are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!How You’ll Find SuccessWork in a supportive environment enables individual growth and achievement of team goalsCollaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customersDevelop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning modelsImplement new features and optimize existing ones to delight our customersCollaborate cross-functionally with product managers, data scientists, and other engineering teams to define, develop, and deploy new machine learning models that translate complex data into actionable insights for our customers.How You’ll GrowWork in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing businessBuild and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.Things You’ll DoWork closely with, and incorporate feedback from other specialists, tech-ops, and product managersLead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacityAttend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customersFinding quick ways to prototype and test possible solutions to large problemsWhat We’re Looking For On Your ResumeBachelor’s degree in Computer Science or related fields.0-2 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.Strong Computer Science fundamentals in algorithm design, complexity analysis, and performanceExperience with data preparation and manipulation for high quality model resultsExperience building and representing data models. Single and Mutli factExperience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented designExperience with applied machine learning models and large-scale ML systemsWhat You Should Know About This TeamThe Insights Generation team strives to create the highest-quality and most accurate insights for Qualtrics customers. We leverage all methodologies and look to build/consume new data assets that will improve insight quality to a class-leading level. We also work heavily with text and omnichannel data to incorporate human feedback into our insights.Our engineers collaborate closely with platform teams to ensure our products are tightly integrated and consistent with core platform behavior while having the flexibility to choose our architecture and the independence to quickly deliver on our business vision. The team’s focus on class-leading insights and customer value offers a fantastic opportunity to drive your career development and build a strong foundational understanding across Qualtrics systems.Our Team’s Favorite Perks And Benefits$1800 Experience bonus to be used for an “Experience” of your choosingUnlimited Sick DaysWe spend 10% of our time on individual engineering growth activities every quarterAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection ActQualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.Washington State Annual Pay Transparency Range$105,500—$199,500 USD",Entry level,Machine Learning Engineer I - Data & Insights
+54,2025-03-24,Mountain View,California,Intuit,https://www.intuit.com/,"Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
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+We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations. ","OverviewIn this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...What you'll bringModel Prototyping: The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models.Model Productionalization: Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models.Model Enhancement: Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose.Machine Learning Tools: The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling.QualificationsBS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).How you will leadDiscover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $132,000 – 178,500, Bay Area California $136,00 – 184,000, Southern California $122,500 – 165,500 . This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.",Associate,Machine Learning Engineer 2
+55,2025-03-28,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snapchat is an app that empowers people to express themselves, live in the moment, learn about the world, and have fun together. It's the easiest and fastest way to communicate the full range of human emotions with your friends without pressure to be popular, pretty, or perfect.Snap’s camera supports real friendships through visual communication, self expression and storytelling. Moving forward, our camera will play a transformative role in how people experience the world around them, combining what they see in the real world, with all that’s available to them in the digital world.We're looking for a Machine Learning Engineer to join our Generative ML team!What you’ll do:Develop innovative machine learning technology and products that serve millions of SnapchattersWork on state of the art GenAI pipelines for image and video generationDeliver generative machine learning experiences on deviceBuild cutting-edge augmented reality experiences using generative and diffusion modelsPartner with cross-functional Snap teams to explore and prototype new productsKnowledge, Skills & Abilities:A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly Knowledge of mathematics and deep learning foundations Desire to solve open ambiguous problemsDesire to grow professionally, learn and help othersAbility to effectively collaborate with internal teams and external partnersAbility to work independentlyMinimum Qualifications:Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experienceResearch or engineering experience in one or more of the following: generative models, efficient models, segmentation, object detection, classification, tracking, or other related applications of machine learning Experience with the major deep learning frameworks: PyTorch or TensorFlowStrong track record of software development in Python or C++Preferred Qualifications:Master's degree or PhD in a related technical field Experience developing real-time software for mobile applications Knowledge of GenAI, especially image and video generation foundationsKnowledge of efficient model foundationsTrack record of successful projects in GenAI fieldExamples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc. If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $118,000-$176,000 annually.Zone B:The base salary range for this position is $112,000-$167,000 annually.Zone C:The base salary range for this position is $100,000-$150,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Generative AI"
+56,2024-12-22,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
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+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+57,2025-01-30,Irvine,California,Turion Space,http://www.turionspace.com,"Unleashing Mankind's Galactic Destiny
+*we build DROIDs and STARFIRE
+
+https://x.com/TurionSpace
+https://www.youtube.com/@TURIONSPACE","Department: PayloadLocation: Irvine, CaliforniaCompensation: $70,000 - $90,000 / yearDescriptionIntroduction -The Machine Learning Team concentrates on developing and implementing novel machine learning algorithms for solving trailblazing problems in the developing new space economy. These include but are not limited to, Computer Vision, Edge Processing, Data Fusion, Non-linear Dynamical Systems, and probabilistic statistical modeling. As a Machine Learning Engineer Intern, you will perform novel research in areas such as data analysis, machine learning, astrodynamics, and physics modeling. Expected start date: June 2025Key ResponsibilitiesInvestigate a novel research area pertaining to Turion's mission setDesign, develop, and validate algorithmic solutions which are highly reliable and scalableResearch and identify useful algorithms for challenging space-based applicationsOptimize the runtime performance of existing implementations Contribute to team discussions, providing insight and feedback to collectively drive innovation across several related projectsQualificationsRequiredPursuing Bachelor's or Master's degree in Data Science, Machine Learning, or related technical fieldStrong programming skills in PythonStrong experience with one or more of the following: Pytorch, Tensorflow, JaxStrong understanding of linear algebra, calculus, statistics, and machine learningExperience in developing advanced machine learning applicationsExperience with data analysis, data engineering, and data exploration techniquesExcellent problem-solving, critical thinking skills, and strong engineering fundamentalsBe able to effectively communicate complex topics and algorithms related to your workStrong oral and written communication skillsExperience with Linux and shell command-line toolsMust be able to work extended hours and weekends as needed on rare occasionsPreferredStrong programming skills in C++Experience working with machine learning in cloud environments (AWS, GCP, Azure,...)Experience with one or more of the following: computer vision, uncertainty quantification, signal processing, computational physics, time series analysisITAR RequirementsThis position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.",Internship,Machine Learning Engineer Intern (Summer 2025)
+58,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are also exploring how to leverage LLM to further enhance TikTok users search experience, potentially sharping the search engine for the next generation. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding from the perspective of the video itself and social network, improve authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (ML Engineer - Data-Search -TikTok.US - San Jose) - 2025 Start (BS/MS)
+59,2025-03-12,Fort Lauderdale,FL,INSPYR Solutions,https://www.inspyrsolutions.com,"Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com","Location: Cupertino, CA 95014Duration: 1- year contract with long term extensions   Machine Learning Engineer   ABOUT THIS FEATURED OPPORTUNITY    The Machine Learning Engineer specializing in multi-language LLMs and Generative AI will join the Channel Sales and Operations team to help scale content translation efforts. This role focuses on machine translation across various formats—PDFs, HTML, Keynotes, and other enterprise training materials—enabling seamless multilingual support for global sales training and enterprise content.   THE OPPORTUNITY FOR YOU Work in a team of machine learning engineers of different specialization to prototype and ship world class algorithms that pushes the state of the art.Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.Turn prototypes into automated pipelines and deploying them to production, deciding when to use out-of-the-box solutions vs. building custom solutions or a hybrid approach.Perform ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results.Partner closely with software engineers to implement these models into high-performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience.Actively engage in all aspects of model development, from ideation, experimentation, triaging to deployment.Communicate results/reports with stakeholders.Maintain expertise in the latest advancements in AI technology and partner with your team members to prepare presentations, papers, and patents for your inventions  KEY SUCCESS FACTORS  2+ years of experience in  Machine Translation, with hands-on experience training models, preferably transformer models Expertise in  multi-language LLMs, including API-based implementation and interaction i.e. ChatGPT, Gemini, etc. Strong knowledge of  LLM programming—prompting, fine-tuning, and model evaluation Experience with LLM communication and interaction frameworks, such as  LangChainProficiency in  Python development , particularly with  FastAPI  for building scalable applications  Our benefits package includes:Comprehensive medical benefitsCompetitive pay401(k) retirement plan...and much more!  About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.   INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities",Mid-Senior level,Machine Learning Engineer
+60,2025-03-30,,,Samsung Semiconductor,https://semiconductor.samsung.com/,"Established in 1974 as a subsidiary of Samsung Electronics, we’re proud to be recognized as one of the leading chip manufacturers in the world.
+Using our knowledge in semiconductor technology, our ambition is to spark the imagination of device manufacturers with top-of-the-line building blocks and, through that, enrich the lives of people around the world with transformative solutions.","Please NoteTo provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.Advancing the World’s Technology TogetherOur technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.What You’ll Learn Project Overview: The primary objective of this project is to develop novel vision-language models for text generation. The project aims to leverage the power of multimodal and large vision-language models to effectively combine visual and textual information, resulting in text documents that meet the legal and technical requirements.Skills You’ll Learn:Overall, this project will provide an excellent opportunity for the intern to gain practical experience in machine learning research, problem-solving, collaboration, and, all while working on a challenging and meaningful project.The intern will gain hands-on experience in developing machine learning models, specifically vision-language models. They will learn about various techniques in natural language processing, computer vision, and multimodal modeling, and how to apply them to solve real-world problems.The intern will work with large text and image datasets and learn how to preprocess and analyze them. They will also learn how to evaluate the performance of machine learning models using appropriate metrics and analyze the results to identify areas for improvement.The intern will be exposed to complex problems in the field of text generation and learn how to approach them systematically. They will need to think critically, analyze data, and experiment with different approaches to find the most effective solution.At the end of the project, the intern will need to prepare a comprehensive report detailing their research, findings, and recommendations. They will also need to present their work to their supervisor and other team members, which will help them develop skills in effective communication and presentation.What You’ll DoThe Intellectual Property (IP) Group is seeking a highly-motivated and exceptional Research Intern to assist in developing innovative systems for natural language generation. The intern will collaborate with a team on research, experimentation, analysis, and implementation of large vision language models and multimodal models for text generation. The intern will contribute to designing novel algorithms and publishing research findings in leading machine learning conferences.Location: Hybrid, working onsite at our San Jose office/headquarters 3 days per week with the flexibility to work remotely the remainder of your timeReports to: Sr. Manager, Semi. Device DevelopmentConduct scientific research to design and develop innovative machine learning algorithms in the field of natural language processing for language modeling and multimodal text generation.Collaborate with other researchers in developing machine learning algorithms, providing input and feedback to identify best possible solutions.Communicate with the domain experts to gain a deep understanding of the problem space, ensuring that the research is aligned with the needs of the industry and stakeholders.Utilize various tools and resources, including machine learning frameworks such as TensorFlow, PyTorch, and Keras, and models from the HuggingFace to fine-tune and train the models.Prepare presentations and technical reports to showcase the experimental results and findings, effectively communicating the research outcomes to both technical and non-technical audiences.Summarize and publish research findings in top-tier conference papers and/or patent submissions, contributing to the body of knowledge in the field.Demonstrate the ability to think creatively and work effectively both as part of a team and as an individual contributor, effectively managing time and resources to meet project deadlines.Show a strong willingness to learn new algorithms, application areas, and tools, continuously expanding their knowledge and skills in the field of machine learning.Complete other responsibilities as assigned, ensuring that the overall goals of the project are met and any additional tasks are carried out to the highest standard.This internship provides an excellent opportunity to gain practical experience in machine learning research, develop valuable skills, and make a meaningful impact in the field.What You BringPreferably pursuing a Ph.D. in machine learning/Ph.D. student in Computer Science with a strong background in machine learning, specifically deep learning, neural networks, and neural language modelsMust have at least one academic quarter or semester remainingDemonstrated strong research skills through a publication recordBackground in natural language processing, computer vision, and text generation algorithmsExperience with machine learning frameworks such as TensorFlow, Keras, or PyTorchStrong background in machine learning, with a focus on deep learning and transformer networksFamiliarity with natural language processing, text generation, and transformer-based modelsKnowledge of computer vision and multimodal modelsStrong analytical and problem-solving skills, with attention to detailProficient programming skills in PythonExcellent communication and teamwork abilitiesYou’re inclusive, adapting your style to the situation and diverse global norms of our peopleAn avid learner, you approach challenges with curiosity and resilience, seeking data to help build understandingYou’re collaborative, building relationships, humbly offering support and openly welcoming approachesInnovative and creative, you proactively explore new ideas and adapt quickly to changeWhat We OfferThe pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training.This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.Relocation Support Live 50+ miles away from your new office? No worries! We'll provide a stipend to help support your move.Housing Stipend Signing a lease on a new place for your summer internship? We'll help you pay your way with a monthly stipend.Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are.Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.Hourly Base Pay Rate$28—$62 USDEqual Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.Recruiting Agency PolicyWe do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.Covid-19 PolicyTo help keep our employees, customers, and communities safe, we've developed guidelines for our team. Currently, we encourage vaccination for all employees and may require it depending on job functions (e.g., traveling for business, meeting with customers). While visiting our offices or attending team events, we ask employees to complete a daily health questionnaire and complete a weekly COVID test. Our COVID policies are subject to change depending on public health, regulatory, and business circumstances.Applicant Privacy Policyhttps://semiconductor.samsung.com/us/careers/privacy",Internship,"Intern, Machine Learning Engineer - VLMs"
+61,2025-03-17,Bentonville,Arkansas,Walmart Global Tech,http://tech.walmart.com,"Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.1 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.","What you'll do...As a company, Walmart primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. The Display Ads ML team builds services that enable advertisers to efficiently capture and predict user engagement while minimizing their costs. The team leverages machine learning models to incorporate advertisers’ goals in auction ranking, allowing them to maximize installs, key conversions, or return on ad spend.As the primary owners of the engagement prediction and bid recommendation systems, the team is responsible for a central part of the ads delivery system that generates bid recommendation considering advertiser objectives and user engagement scores. Given the centrality of this system, the team also regularly conducts highly rigorous and controlled experiments to measure the impact of improvements to these systems. Some of the project highlights include maximizing conversions campaign optimization, which uses real-time data to meet advertisers’ key objectives.The Software Engineer III, Machine Learning Engineer will work closely with technical leaders to build new advertiser optimization products that significantly increase the efficiency and ROI for the advertisers.You will be responsible for your quality and technical approach within the team; partner with other team members in direction setting, planning, and overseeing engineering designs and executions; establish and contribute to the group’s culture and processes.You will collaborate with cross-functional engineering, product, and marketing teams to ensure that our customers’ voices are represented in your work. You will help design, conduct, and analyze experiments to quantify the impact of the systems that you build. We are seeking an engineer to join a team building state-of-the-art bidding optimization and user prediction systems. As a member of this team, you will help us uplevel the capabilities of Walmart Display Ads platform through innovative optimization products that enhance advertiser value.About Team:Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.What you'll do:Execute a roadmap for engagement and bid recommendation modeling, balancing innovative modeling approaches with business objectives. Build Walmart-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.Support the Model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Think out-of-the box! What you'll bring:2+ years of contributing high-quality code to production systems that operate at scale. Participate the design, development and implementation of complex machine learning solutions/algorithms that drive business results leveraging Python, Nodejs, LLM, NLP Models, Chat GPT or similar platforms, scikit-learn, TensorFlow/Pytorch, Cassandra, BQ, RedisSolve complex problems with multilayered data sets, multi batch inferencing. Upholding ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions.Stay up to date with the latest AI/ML technologies and trend - acting as a thought leader for ML Engineering within the organization and in the broader technical community.Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.‎ ‎ You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.‎ For information about PTO, see https://one.walmart.com/notices.‎ ‎ Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.‎ Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.‎ For information about benefits and eligibility, see One.Walmart.‎ The annual salary range for this position is $117,000.00-$234,000.00‎ Additional compensation includes annual or quarterly performance bonuses.‎ Additional compensation for certain positions may also include:‎ ‎ - Stock‎ Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years’ experience in software engineering or related area.Option 2: 4 years’ experience in software engineering or related area.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Customer Service, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Masters: Computer SciencePrimary Location...680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America",Associate,Machine Learning Engineer III
+62,2025-02-12,Hopkinton,Massachusetts,Bose Professional,https://BoseProfessional.com,"Bose Professional brings unforgettable moments alive.
+ 
+It’s that moment. The one when the featured act brings everyone to their feet during the show’s encore. Or when the worship team rises to its powerful crescendo and moves the entire congregation. And it’s the key moment during a
+conference call that connects and unites a work team from around the globe.
+ 
+Pro audio is about creating incredible experiences. But these exceptional experiences don’t just happen.
+
+They need to be built, one piece at a time. That’s why we’re here.","Company Overview:Bose Professional is a leader in the professional audio industry, specializing in the design and manufacturing of cutting-edge audio solutions including loudspeakers, amplifiers, signal processing devices, controls, software, and accessories. As we continue to expand our team, we are seeking a Software Engineer Co-op, AI/ML to join us on our journey.We have organized ourselves culturally around a set of shared values. We are a team first, which means we are collaborative and support each other toward our common goals. We start everything from the outside in, starting with the customer and solving from there. We value trust, so we are a company of people who are open and direct, avoid politics, and who do what it takes to deliver on our commitments. And as we work together, we are empathetic, courteous, and fair, because we respect each other. Finally, we believe that creativity and innovation belong in all parts of the company to drive excellence in everything we do.Position Overview:Do you love great sounding music with quality that brings joy to people’s lives? Would you love to work with a team that helps develop the best sounding Digital Signal processors, amplifiers, subwoofers, and loudspeakers in the world? Bose Professional is looking for an intern with a working knowledge of software development and an interest in gaining real-world software engineering experience at an innovative and thriving high-technology company.You will work in a tight-knit team of Software Engineers to develop best-in-class professional audio software applications used to design, configure, and control Bose Professional audio amplifiers and signal processors that are used to drive our award-winning loudspeakers.   Using your programming skills, you will be creating software for our next generation software middleware that would drive best-in-class digital signal processors, amplifiers and controls. Key Responsibilities:Assist in collecting, preprocessing, and analyzing audio datasets for ML training and validationTrain, fine-tune, and evaluate machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-LearnImplement and optimize model validation techniques, including cross-validation, hyperparameter tuning, and performance metrics assessmentDevelop scripts and automation tools for training pipeline optimizationConduct error analysis to improve model robustness and generalizationCollaborate with the AI/ML team to experiment with novel architecture and techniquesDocument findings, methodologies, and results for internal and external reportingAssist in deploying and testing models in real-world scenarios, ensuring efficiency and reliabilityQualifications:The ideal candidate will be either in a Master’s program or in their Junior or Senior year of study in the 2025 calendar year with emphasis in Computer Science, Electrical Engineering or a related STEM field such as math or physicsDemonstrate an understanding of basic algorithms, data science, and design principlesExperience with frameworks/libraries like TensorFlow, PyTorch & NumPySubstantial academic project work or some industry experience in collecting, preprocessing, and analyzing datasets for ML training and validationModel tuning and model evaluation experience is desirableHave clear verbal and written communication skillsBose Professional is an equal opportunity employer and values diversity in the workplace. We encourage all qualified individuals to apply.Position/Title: Software Engineer Co-op, AI/MLLocation:Hopkinton, MA - HybridReports to: Director of Software EngineeringDepartment: EngineeringPowered by JazzHR9Pr9soePeD",Internship,"Software Engineer Co-op, AI/ML"
+63,2024-12-02,San Francisco Bay Area,,Lumino,https://www.luminolabs.ai/,Decentralized compute protocol to train and fine-tune AI models,"About LuminoAt Lumino, our mission is to unlock the power of AI for every human, and we can’t do this without having the best people in the world on the team. AI is one of the next set of technologies that will unlock vast potential of human innovation, empowering us to solve problems that were thought to be unsolvable. Lumino is a technology company that builds infrastructure which enables anyone to create AI models. We are backed by prominent VCs such as Longhash Ventures, OP Crypto, Protocol Labs, Quaker Capital, Escape Velocity, and OrangeDAO.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.About the role:We’re looking for a Machine Learning Engineer to join our team and help set the foundations of the company. You will be responsible for designing and building decentralized and distributed AI training pipelines, optimizing training for fast performance and low costs, and conducting research on cutting edge techniques for training on heterogeneous environments.You will:Design, develop, and optimize machine learning models and algorithms for various applications, including computer vision, NLP, and audio/video processing. Implement basic to advanced model architectures, starting with minimalist implementations. Collect, clean, and preprocess data to create robust training datasets, working with complex datasets to ensure high-quality inputs for model training. Train various deep learning models on different GPUs, including multi-GPU setups, and improve model performance and resource utilization by fine-tuning hyperparameters and using advanced techniques like LoRA and QLoRA quantization. Evaluate model performance using appropriate metrics such as F1 scores, and conduct experiments to improve model accuracy and robustness. Deploy machine learning models into production environments, ensuring scalability, efficiency, and reliability while managing the deployment of models on both cloud and bare-metal infrastructure. Work closely with cross-functional teams to understand business requirements and translate them into technical solutions, collaborating with data scientists and software engineers to integrate models into production systems. Monitor and maintain deployed models to ensure they continue to perform as expected, and implement processes for model retraining and updates as needed. Optimize training performance on various GPUs (e.g., V100, T4, RTX3090, A100) and assess trade-offs to minimize training time and improve infrastructure efficiency. Capture and analyze benchmarks on heterogeneous infrastructure, making performance improvements based on benchmark results. Own and manage MLOps processes, train custom Lumino models including fraud detection, build and improve internal inference systems for model evaluation, and enhance existing evaluation processes in the ML pipeline. Requirements:You have 2+ years of experience as a Data Scientist or Machine Learning EngineerYou have 1+ years in Python and ML frameworks such as PyTorch, TensorFlow, and Jax. You have experience in building, serving, and fine-tuning machine learning and large language modelsYou have strong analytical skills with the ability to navigate ML system trade-offsYou have a high degree of initiative and end-to-end project ownershipYou have strong communication and collaboration abilitiesYou have excellent problem-solving skills and ability to learn quicklyNice to haves:Contributions to open source projectsPrevious experience in a startup environmentExperience with latest Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. What we offer:Opportunity to design systems from the ground-up 🚀Fast paced environment that allows you to learn and ship quickly 🛥️Competitive salary + share of equity pool 💰Medical, dental, and vision insurance 🏥Whatever equipment you need to get the job done 💻Github Co-Pilot and ChatGPT subscription ⚡3 days week in-office with the team, 2 days a week WFH 🙂",Entry level,Machine Learning Engineer
+64,2025-04-03,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.The OpportunityWe are looking for a driven Software Engineer to join the Training Platform team under our Machine Learning Platform (MLP) org. MLP’s charter is to maximize the business impact of all ML use cases at Netflix through highly reliable and flexible ML tooling and infrastructure that supports key product functions such as personalized recommendations, studio algorithms, virtual productions, growth intelligence, and content demand modeling among others.In This Role You Will Get ToDesign and build the platform that powers large-scale machine learning model training, fine-tuning, model transformation and evaluations workflows and use cases from the entire companyCo-design and optimize the systems and models to scale up and increase the cost-effectiveness of machine learning model trainingDesign easy-to-use APIs and interfaces for experienced ML practitioners, as well as non-experts to easy access the training platformMinimum Job QualificationsExperience in ML engineering on production systems dealing with training or inference of deep learning models.Proven track record of building and operating large-scale infrastructure for machine learning use casesExperience with cloud computing providers, preferably AWSComfortable with ambiguity and working across multiple layers of the tech stack to execute on both 0-to-1 and 1-to-100 projectsAdopt and promote best practices in operations, including observability, logging, reporting, and on-call processes to ensure engineering excellence.Excellent written and verbal communication skillsComfortable working in a team with peers and partners distributed across (US) geographies & time zones.Preferred QualificationsUnderstand modern and real-world Machine Learning model development workflows and experience partnering closely with ML modeling engineersFamiliarity with cloud-based AI/ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI, etc.)Experience with large-scale distributed training and different parallelism techniques for scaling up training, such as FSDP and tensor/pipeline parallelismExpertise in the area of Generative AI, specifically when it comes to training foundation models, fine tuning them, and distilling them to smaller modelsWhat do we offer?Netflix's culture is an integral part of our success, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.Netflix has a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Software Engineer L4/L5, Training Platform, Machine Learning Platform"
+65,2025-04-05,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The Opportunity Adobe is looking for a Machine Learning Engineer intern who will apply AI and machine learning techniques at scale to help Adobe better understand, lead and optimize the experience of its customers.This is an exciting internship opportunity in Adobe FireFly’s AI/ML Platform and Data team. You will work with engineers and researchers on projects aiming toward improving the efficiency and scalability of FireFly models.All 2025 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.What You’ll DoContribute to research and advanced development that can be transferred to FireFly training/data platform. Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems. Lead and collaborate on projects across different teams. What You Need to SucceedCurrently enrolled full time and pursuing a PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2025 – June 20261+ years of experience in computer vision, natural language processing, or machine learning. Experience in Generative AI and/or agentic LLM. Proficient in Python and PyTorch. Strong analytical and quantitative problem-solving ability. Excellent communication and relationship skills. Ability to participate in a full-time internship between May-SeptemberAdobe is proud to be an  Equal Employment Opportunity  and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.  Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email  accommodations@adobe.com  or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Internship,2025 AI/ML Intern - Machine Learning Engineer
+66,2025-04-09,Wilmington,Delaware,Accroid Inc,https://accroid.com,"Accroid Inc is a nationwide employment and service provider committed to enabling individuals. We firmly believe that everything is possible when we work together, and we continuously seek out opportunities to make a positive difference in the lives of others.
+
+At Accroid, doing what is right has always been a top priority for our co-workers, client partners, and communities. We foster an inclusive culture that empowers our staff to deliver their best work. We are not just a high-performing team; we are a supportive and tight-knit family. We genuinely care for one another, fostering strong relationships and upholding our culture's dedication to compassion.
+
+Solutions for Your Business, Powered by People:
+
+We believe that people are the driving force behind successful businesses. By harnessing the power of technology and leveraging our expertise, we help businesses unlock their full potential, streamline operations, enhance efficiency, and achieve their goals. Our dedicated consultants work hand in hand with your organization to ensure that technology seamlessly aligns with your business objectives, delivering tangible and measurable results.
+
+Stay connected with Accroid Inc on LinkedIn for the latest industry insights, updates on our innovative services, and exciting opportunities to collaborate. Together, we can shape a brighter future for individuals and businesses, transforming possibilities into realities.","Bachelor’s or Master's degree in Computer Science, Machine Learning, or a related field6 years of relevant work experienceProficiency in Python and experience with machine learning frameworks (TensorFlow, PyTorch)Experience with natural language processing, machine learning, deep learning, optimization techniques, and evaluation methodologiesDemonstrated experience with LLMs (e.g. GPT, PHI) and integrating them with complex real-time data processing and low-latency systems including methods for optimizing LLM prompts and using a RAG architectureExperience with cloud platforms (AWS/GCP) for deploying and managing ML modelsExperience in handling multilingual data and building systems that support multiple languagesExperience researching new ideas, formulating creative solutions, and presenting sophisticated ideas to technical and non-technical audiences",Mid-Senior level,Machine Learning Engineer
+67,2025-03-12,,,Trovo Health,www.trovohealth.com,"Trovo Health uses an AI-powered platform backed by a multidisciplinary care team to allow health care providers to extend their capabilities seamlessly. Using specialty-specific workflow technology alongside expert care team members, providers can deliver new capabilities for patients, improve outcomes and operate more efficiently.","About UsHere at Trovo Health, we’re on a mission to help solve healthcare’s clinical capacity crisis. By combining AI-powered technology with a proprietary network of ancillary clinicians, we allow our partners to access transformative clinical capabilities.We’ve raised funding led by Oak HC/FT - backers of leading clinical technology companies such as Devoted Health, VillageMD, CareBridge, Main Street health, Maven Clinic, and more.We’re headquartered in NYC, and embrace a hybrid work culture.About The RoleWe’re looking for experienced AI/ML Engineers to join a well funded, early stage health tech startup focused on revolutionizing the provider model and improving patient outcomes with AI. As a core member of the early engineering team, you would be responsible for data ingestion and analysis, developing data/ML pipelines and contributing broadly to product development.Competitive target compensation (150-200k+ plus equity), strong benefits and a hybrid NYC location.ResponsibilitiesIngesting, structuring and analyzing a wide range of unstructured datasourcesDesigning, maintaining and orchestrating data pipelines in an AWS environment for production processing and training flowsContinuously evaluate, analyze, test and improve the quality, privacy and performance of our data systems and modelsContribute across the product, from front-end UX and product design, to API/systems architecture and core ML developmentMinimum Qualifications3+ years of experience ingesting, analyzing and structuring a wide variety of datasourcesProduction NLP or LLM experience (e.g. spacy, langchain, extensive LLM API usage)Significant experience building and maintaining data pipelines in a production environmentStrong database/SQL, python, pandas (or equivalent) experience Prior experience working in fast paced environments and tackling problems across the stack with quick iterations while maintaining a high quality bar. Strong Additional QualificationsSignificant healthcare data experienceSignificant MLE production or research experience - pytorch, scikit-learn, etc..Extensive production AWS, container and/or data orchestration experienceFullstack development experience (JS/TS/Node in particular)Demonstrated experience in similar roles in a startup or consultancyBenefits Of Working With Us IncludeDirect impact on company and cultureHybrid work environment (HQ in Union Square, NYC)Competitive Salary and EquityGenerous Health, Vision, and Dental InsuranceFlexible paid time off (unlimited vacation and sick leave)Flexible schedulesLife InsuranceShort & Long-Term DisabilityParental LeaveTrovo Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.",Not Applicable,AI/Machine Learning Engineer
+68,2025-03-31,Annapolis Junction,MD,Interclypse,https://interclypse.com,"Interclypse is a small business headquartered in Annapolis Junction, Maryland, focused on solving complex problems for customers across the US Intelligence Community and customers in the federal and state government and commercial industries since 2007. We combine world-class engineering talent with proven engineering best practices, domain expertise, and a proven agile management methodology to meet our customers' most critical business and mission objectives.  
+
+The Interclypse team is on a continuous mission to have a positive transformational impact on society, community, industry, and individuals! Our team accomplishes this mission by continuously ""Doing What is Right."" ","DescriptionInterclypse is seeking Data Scientists.The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career.Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.RequirementsEducationDegree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required.Primary ResponsibilitiesEngage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.To succeed in this position; you need to be curious, creative, and tech-savvy.You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms.You must be persistent and have excellent analytical and problem-solving skills.Devise strategies for extracting semantic value from large datasets.Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions.Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.Required Skills/ExperienceExperience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora)Experience with programming in R, Python, JavaExperience with NoSQL databases ( e.g., MongoDB, Accumulo)Experience designing data models and approachesExperience working in a cloud environment ( e.g., AWS, Azure)Experience with LinuxExcellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levelsAbility to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environmentDesired Skills/ExperienceExperience with programming in TensorFlow, PyTorchExperience with Hadoop, MapReduceExperience with TableauExperience with CognosExperience with designing, implementing, and using REST APIsExperience with RDF/OWL, SPARQL, and Semantic Web technologiesExperience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plusExperience with Data catalogs and data managementAbility to help visualize the data for analysis and to display resultsWhy You Might Like This JobYou’re tired of working for a massive organization.You want to work for an established company that values your stable career.You want to work with a team who loves their job and making cool stuff.You want to be part of a team focused on making a positive impact.You want to grow your skills in management or work toward becoming an expert.You want to have the option for career mentorship, both in technology and in business.You value a company with a strong culture of growth and support.BenefitsEmployee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity.Comprehensive time off and leave programs:31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdaysParental Leave: 40 HoursBereavement Leave: 24 hours.Military Reserve Leave (up to 80 hours, see employee handbook for details).Jury Duty Leave 16 hours.Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximumHealth Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details).Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for familiesVision InsuranceDental Insurance includes orthodontics coverageLife InsuranceAccidental Death and Dismemberment InsuranceDisability: Short-term and long-term disability coverageEducational support: reimbursement up to the federal max of $5,250Company apparel: $200 for company apparel each yearSocial events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and moreInterclypse isn’t your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: ""Doing What is Right"". Apply today to see how you can join our winning team and start down the career path that’s right for you!EOE AA M/F/Vet/DisabilityInterclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate’s experience and education/training, internal peer equity, and market and business consideration.",Entry level,Data Scientist - All Levels
+69,2025-03-31,Annapolis Junction,MD,Interclypse,https://interclypse.com,"Interclypse is a small business headquartered in Annapolis Junction, Maryland, focused on solving complex problems for customers across the US Intelligence Community and customers in the federal and state government and commercial industries since 2007. We combine world-class engineering talent with proven engineering best practices, domain expertise, and a proven agile management methodology to meet our customers' most critical business and mission objectives.  
+
+The Interclypse team is on a continuous mission to have a positive transformational impact on society, community, industry, and individuals! Our team accomplishes this mission by continuously ""Doing What is Right."" ","DescriptionInterclypse is seeking Data Scientists.The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career.Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.RequirementsEducationDegree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required.Primary ResponsibilitiesEngage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.To succeed in this position; you need to be curious, creative, and tech-savvy.You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms.You must be persistent and have excellent analytical and problem-solving skills.Devise strategies for extracting semantic value from large datasets.Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions.Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.Required Skills/ExperienceExperience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora)Experience with programming in R, Python, JavaExperience with NoSQL databases ( e.g., MongoDB, Accumulo)Experience designing data models and approachesExperience working in a cloud environment ( e.g., AWS, Azure)Experience with LinuxExcellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levelsAbility to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environmentDesired Skills/ExperienceExperience with programming in TensorFlow, PyTorchExperience with Hadoop, MapReduceExperience with TableauExperience with CognosExperience with designing, implementing, and using REST APIsExperience with RDF/OWL, SPARQL, and Semantic Web technologiesExperience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plusExperience with Data catalogs and data managementAbility to help visualize the data for analysis and to display resultsWhy You Might Like This JobYou’re tired of working for a massive organization.You want to work for an established company that values your stable career.You want to work with a team who loves their job and making cool stuff.You want to be part of a team focused on making a positive impact.You want to grow your skills in management or work toward becoming an expert.You want to have the option for career mentorship, both in technology and in business.You value a company with a strong culture of growth and support.BenefitsEmployee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity.Comprehensive time off and leave programs:31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdaysParental Leave: 40 HoursBereavement Leave: 24 hours.Military Reserve Leave (up to 80 hours, see employee handbook for details).Jury Duty Leave 16 hours.Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximumHealth Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details).Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for familiesVision InsuranceDental Insurance includes orthodontics coverageLife InsuranceAccidental Death and Dismemberment InsuranceDisability: Short-term and long-term disability coverageEducational support: reimbursement up to the federal max of $5,250Company apparel: $200 for company apparel each yearSocial events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and moreInterclypse isn’t your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: ""Doing What is Right"". Apply today to see how you can join our winning team and start down the career path that’s right for you!EOE AA M/F/Vet/DisabilityInterclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate’s experience and education/training, internal peer equity, and market and business consideration.",Entry level,Data Scientist - All Levels
+70,2025-04-02,San Diego,CA,Qualcomm,https://www.qualcomm.com/,Delivering intelligent computing everywhere.,"CompanyQualcomm Atheros, Inc.Job AreaEngineering Group, Engineering Group > RFIC DesignGeneral SummaryQualcomm is seeking a motivated and talented individual to join our team in Santa Clara. This role offers a unique opportunity to work on cutting-edge machine learning and data modeling projects and their hardware implementation. The ideal candidate will have a strong background in neural networks, autoencoders, decision trees, and other related techniques along with a basic understanding of their deployment on edge devices.ResponsibilitiesExplore and develop innovative modeling ideas for various datasets.Implement and optimize machine learning algorithms, including neural networks, autoencoders, and decision trees etc.Deployment of ML models on edge devices.Collaborate with cross-functional teams to understand project requirements and deliver high-quality solutions.Conduct experiments and analyze results to improve model performance.Document and present findings to the team.QualificationsMaster’s or PhD. in Computer Science, Electrical Engineering, or a related field.Strong proficiency in Python programming.Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.Experience with Generative AIKnowledge of data preprocessing, feature engineering, and model evaluation techniques.Excellent problem-solving skills and attention to detail.Ability to work independently and as part of a team.Preferred QualificationsFamiliarity with Analog/RF circuitsPrevious experience with real-world data modeling projects.Deployment of ML models on edge devices.Experience or knowledge of on-device algorithm development including hardware-aware ML models.How to Apply: Interested candidates should submit their resume and a cover letter detailing their relevant experience and interest in the position.Minimum Qualifications Bachelor's degree in Electrical Engineering with 3+ years of experience with designing RF/Analog circuits for wireless products (e.g., LNA's, PLL's) and 4+ years of ASIC design, verification, or related work experience.ORMaster's degree in Electrical Engineering or related field and 4+ years of ASIC design, verification, or related work experience.ORPhD in Electrical Engineering or related field and 2+ years of ASIC design, verification, or related work experience. 2+ years of academic or professional experience using two or more of the following software: CADENCE, Virtuoso, ADS.Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.Pay Range And Other Compensation & Benefits$168,600.00 - $252,800.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.If you would like more information about this role, please contact Qualcomm Careers.3073775",Not Applicable,Machine Learning Engineer
+71,2025-03-03,Boston,Massachusetts,"Tagup, Inc.",https://www.tagup.io,"Tagup Inc. was founded in 2017 with a mission to maximize efficiency by using artificial intelligence to optimize equipment, systems, and processes. The company’s core IP and competitive advantage are related to its data pipeline and novel machine-learning techniques. Tagup’s industrial artificial intelligence software is deployed in applications covering a diverse set of capabilities, including maintenance optimization, process optimization, asset lifecycle planning, and inventory optimization. Current system applications range across building systems, military logistics, electric transmission and distribution, power generation, water purification, and renewable energy.","At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient. As a rapidly scaling AI/ML technology company, we are looking to expand our team.Tagup's AI software directly controls large scale industrial equipment and logistics systems, ensuring our customers are running optimally. We are looking for skilled engineers who are interested in helping us scale and automate our infrastructure as we expand our customer base and process more data.As a Machine Learning Engineer, you will work closely with our deployment team to provide innovative analytics and software solutions for our customers. Your primary responsibilities will include building and maintaining various stages of our data processing workflow. This involves ingesting raw customer data, fine-tuning and deploying machine learning models, and presenting the results in client-facing web applications.ResponsibilitiesDevelop and deploy analytic models on industrial dataIntegrate new data sources into our data pipelineBuild and maintain data processing toolsValidate model performance and quantify value creation potential Co-author technical reports on data analysis and model performanceCollaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be requiredDesired SkillsYou are highly technical and analytical, with 4+ years of machine learning experienceYou have experience building and managing large pieces of cloud infrastructure as code, using providers such as AWS, Azure, and GCP, with tools such as Chef, Terraform, Puppet, ansible, cloud formation, and salt stackYou possess strong skills in at least one modern programming language, such as Python (preferred), Ruby, JavaScript, or JavaYou have experience with at least one type of datastore (MySQL, Postgres, InfluxDB, MongoDB)Bonus PointsExperience with PyTorch and/or PyroFamiliarity with KubernetesFamiliarity with Weights and BiasesBackground in variational inference, Gaussian processes, hidden Markov models, and/or time series analysisDirect experience working with enterprise customersAs a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings!Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions.",Not Applicable,Machine Learning Engineer
+72,2025-03-20,Atlanta,GA,ICE,http://www.ice.com,"ICE (NYSE: ICE) connects people to data, technology and expertise that create opportunity and inspire innovation.","OverviewJob PurposeThe Document and Data Automation team at ICE Mortgage Technology is on the forefront of revolutionizing the mortgage lending process through the deployment of cutting-edge AI and ML technologies. Our mission is to transform the traditionally lengthy mortgage workflows, utilizing advanced document recognition, data extraction, and other AI-driven techniques. Our ambitious goal is to cut down the loan processing time from 40 days to just 40 minutes, leveraging the latest in AI and ML innovations.As a Junior Machine Learning Engineer, you will play a crucial role in supporting the development and deployment of these innovative ML models focused on document processing tasks. Your work will be instrumental in enhancing efficiency, accuracy, and speed within the mortgage lending process, contributing directly to our mission of making homeownership more accessible and streamlined.ResponsibilitiesSupport the development of Machine Learning models: Assist in building and refining machine learning models for document processing, under the guidance of senior team members. Utilize your knowledge in deep learning, computer vision, and natural language processing to contribute to models that efficiently extract key data.Contribute to continuous improvement: Support monitoring and optimizing the performance of deployed models to ensure they remain efficient, scalable, and accurate. Help in identifying and resolving performance issues in collaboration with senior engineers. Track key performance indicators, analyze results, and report on the impact of your work.Collaborate with the team: Engage with a cross-functional team of data scientists, engineers, and industry experts to contribute to shared objectives and learn from leading professionals in the field.Learn and grow: Take initiative in learning new technologies and methods in machine learning, especially as they relate to document understanding and data extraction. Stay updated with industry trends and advancements.Facilitate the innovation: Participate in identifying and incorporating new technologies and techniques to advance our document processing capabilities. Be proactive in suggesting improvements and innovative approaches.Knowledge And ExperienceBachelor’s degree in Engineering, Computer Science, or a related field. Master's degree or PHD in Engineering, Computer Science, Statistics, Mathematics, or related field is strongly preferred. Up to 2 years of experience in software engineering, with exposure to the full SDLC.Solid understanding of Statistics, Deep Learning and classical Machine Learning concepts.Strong Python programming skills and familiarity with Deep Learning frameworks like PyTorch or TensorFlow.A foundational understanding of ML principles, statistics, computer vision (CV), and/or natural language processing (NLP).Good communication and presentation skills.Eagerness to learn and adapt to new technologies and methodologies.Advantageous to have:Exposure to ML tools and libraries (e.g. Huggingface Transformers, MLFlow, scikit-learn, pandas, Jupyter).Knowledge of cloud platforms (e.g., AWS), big data processing technologies (SQL, Databricks, Spark), and web development basics.Experience with git, Docker, Terraform, Jenkins.Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.",Not Applicable,Junior Machine Learning Engineer
+73,2025-03-03,Boston,Massachusetts,"Tagup, Inc.",https://www.tagup.io,"Tagup Inc. was founded in 2017 with a mission to maximize efficiency by using artificial intelligence to optimize equipment, systems, and processes. The company’s core IP and competitive advantage are related to its data pipeline and novel machine-learning techniques. Tagup’s industrial artificial intelligence software is deployed in applications covering a diverse set of capabilities, including maintenance optimization, process optimization, asset lifecycle planning, and inventory optimization. Current system applications range across building systems, military logistics, electric transmission and distribution, power generation, water purification, and renewable energy.","At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient. As a rapidly scaling AI/ML technology company, we are looking to expand our team.Tagup's AI software directly controls large scale industrial equipment and logistics systems, ensuring our customers are running optimally. We are looking for skilled engineers who are interested in helping us scale and automate our infrastructure as we expand our customer base and process more data.As a Machine Learning Engineer, you will work closely with our deployment team to provide innovative analytics and software solutions for our customers. Your primary responsibilities will include building and maintaining various stages of our data processing workflow. This involves ingesting raw customer data, fine-tuning and deploying machine learning models, and presenting the results in client-facing web applications.ResponsibilitiesDevelop and deploy analytic models on industrial dataIntegrate new data sources into our data pipelineBuild and maintain data processing toolsValidate model performance and quantify value creation potential Co-author technical reports on data analysis and model performanceCollaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be requiredDesired SkillsYou are highly technical and analytical, with 4+ years of machine learning experienceYou have experience building and managing large pieces of cloud infrastructure as code, using providers such as AWS, Azure, and GCP, with tools such as Chef, Terraform, Puppet, ansible, cloud formation, and salt stackYou possess strong skills in at least one modern programming language, such as Python (preferred), Ruby, JavaScript, or JavaYou have experience with at least one type of datastore (MySQL, Postgres, InfluxDB, MongoDB)Bonus PointsExperience with PyTorch and/or PyroFamiliarity with KubernetesFamiliarity with Weights and BiasesBackground in variational inference, Gaussian processes, hidden Markov models, and/or time series analysisDirect experience working with enterprise customersAs a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings!Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions.",Not Applicable,Machine Learning Engineer
+74,2025-04-08,San Jose,CA,Cisco,http://www.cisco.com,"Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience.  With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. ","Applications are accepted until further notice.Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.Who You'll Work WithYou will join a dynamic engineering team focused on building AI/ML solutions, collaborating closely with platform, security, release engineering, and support teams to deliver the product. Your role includes providing support to ensure its smooth operation.What You'll DoYou are responsible for developing and implementing applications based on generative large language models such as GPT-4, Claude, Llama, and their derivatives, ensuring they meet business requirements. Your role includes optimizing these generative AI applications for enhanced performance, scalability, and reliability, as well as conducting red teaming exercises to validate the robustness and precision of the applications. You are expected to stay informed about the latest developments in AI and machine learning, and proactively suggest the adoption of new technologies . You will also design and develop APIs for smooth interaction with AI models. In addition, you will address and resolve any issues that arise from the AI applications. It is part of your duties to create clear and comprehensive documentation for the developed models and systems, making it accessible to both internal teams and external partners.Who You AreYou are committed to continuous learning and enjoy adopting tools and technologies that best address the problems you are tackling. You place a high value on building solid relationships with colleagues and are passionate about coaching and mentoring engineers. With strong analytical skills, you excel at interpreting data and have the ability to communicate complex information in a simple, actionable manner.Minimum Qualifications: Recently completed or currently enrolled in a PhD program in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field  Understanding of Deep Learning Architectures (Transformers, LSTMs, etc.).  Experience with Transformer-based models (BERT, GPT, other Large Language models).  Proficient in programming languages such as Go/Java, particularly for backend development and integration with data science applications. Preferred Qualifications: Proficient with data science toolkits such as Pandas, NumPy, SciPy, and Scikit-learn, and knowledgeable in vector databases like Milvus or Pinecone for AI similarity searches.  Skilled in fine-tuning large language models like GPT, BERT, and Llama-2 for domain-specific applications, and experienced with generative AI frameworks including LangChain and RAGs.  Practiced in the development and application of GANs (Generative Adversarial Networks) for creative AI solutions.  Competent in Time Series Systems, with the ability to perform real-time series analysis and streaming data processing.  Well-versed in cloud technologies such as Google AI Platform or AWS for scalable AI deployments, and in-depth knowledge of machine learning algorithms, including generative models.  Familiar with big data technologies (e.g., Hadoop, Spark, Kafka) and machine learning frameworks (TensorFlow, PyTorch ) for efficient model training and development.  Expertise in advanced anomaly detection and pattern recognition within time series data, leveraging insights from complex datasets Why Cisco#WeAreCisco, where each person is unique, but we bring our talents to work as a team and make a difference powering an inclusive future for all.We embrace digital, and help our customers implement change in their digital businesses. Some may think we’re “old” (40 years strong) and only about hardware, but we’re also a software company. And a security company. We even invented an intuitive network that adapts, predicts, learns and protects. No other company can do what we do – you can’t put us in a box!But “Digital Transformation” is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it.)Day to day, we focus on the give and take. We give our best, give our egos a break, and give of ourselves (because giving back is built into our DNA.) We take accountability, bold steps, and take difference to heart. Because without diversity of thought and a dedication to equality for all, there is no moving forward.So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us!",Not Applicable,AI Machine Learning Engineer PhD (Intern) United States
+75,2025-03-26,San Francisco,California,"Reddit, Inc.",http://redditinc.com,"Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. Share, vote, and decide what matters in everything from breaking news, to fandoms, lifehacks, gaming, sports, health, and the internet’s cutest animals. With over 100,000 subreddit communities about every topic you could think of (and thousands more you couldn’t), whatever it is, there’s a place for you on Reddit. 
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+Interested in joining our growing team? Check out redditinc.com/careers.","Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one - join us!Ads Targeting ML engineers are focused on designing and implementing ML systems and solutions for improving targeting products. The team’s projects involve building large-scale offline & online retrieval systems across several dimensions to improve contextual & behavioral targeting for targeting products.As a senior machine learning engineer in the ads targeting core team, you will execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with data and ML-driven solutions.Your ResponsibilitiesOwn end-to-end execution of ML-based targeting products like smart targeting expansion, keyword targeting, auto targeting, user lookalikes etcOwn offline & online experimentation of ML models for improving targeting products to drive advertiser outcomesResearch, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models) with a focus on improving advertiser outcomesDrive technical roadmaps and lead day to day project execution, and contribute meaningfully to team vision and strategyWork on large scale data systems, backend services and product integrationCollaborate closely with multiple stakeholders cross product, engineering, research and marketing Required Qualifications2+ years of experience with industry-level deep learning models.2+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch).3+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models.3+ years of experience of orchestrating complicated data generation pipelines on large-scale datasets.Experience working with cross functional stakeholders across research, product & infrastructure to productize ML research Knowledge of large scale search & recommender systems, or modern ads ranking/retrieval/targeting systems is preferredExperience with deep learning, representation learning or transfer learning is preferredBenefitsComprehensive Healthcare Benefits and Income Replacement Programs401k MatchFamily Planning SupportGender-Affirming CareMental Health & Coaching BenefitsFlexible Vacation & Reddit Global Days offGenerous paid Parental Leave Paid Volunteer time offPay TransparencyThis job posting may span more than one career level.In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.The Base Pay Range For This Position Is$185,800—$260,100 USDReddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.",Associate,"Machine Learning Engineer, Ads Targeting"
+76,2025-03-26,San Jose,CA,Nirmata,http://nirmata.com,"Nirmata Is the Creator of Kyverno - the Kubernetes-Native Policy Engine.         
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+Nirmata allows enterprises to securely scale Kubernetes by enabling multi-cluster policy-based security and governance. 
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+Nirmata provides comprehensive policy-based automation for deploying, operating, and optimizing Kubernetes applications across clouds, via easy-to-use, intuitive interfaces. Nirmata empowers enterprise DevOps teams by fully automating the complex operations and management of application containers. Nirmata is a Kubernetes certified solution, and Nirmata, Inc. is also a Kubernetes Certified Solution Provider.
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+Connect with us at @NirmataCloud or @Kyverno on Twitter.","At Nirmata, our mission is to accelerate adoption of cloud native technologies for enterprises. We believe that software can radically transform the world and are building a solution to help enterprises deliver and operate mission critical software at scale. Nirmata is an enterprise-grade multi-cloud Kubernetes platform.About The RoleAs an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered features. This is a unique opportunity to contribute to a rapidly growing domain within a fast-moving startup.What We OfferHands-on experience with real-world software development projectsMentorship from experienced software engineers.An inclusive and collaborative work environment.Opportunity to be part of an early stage startup.Opportunities to contribute to a cutting-edge SaaS platform, featuring microservices in Java and Go, orchestrated with Kubernetes, utilizing MongoDB for no-SQL data storage, and leveraging Kafka for event processingQualificationsEducation: Bachelor's or Master's degree student in Computer Science or a related field.Focus on machine learning and data science.Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning.Familiarity with SLMs: model design and fine-tuningInterested by Kubernetes and cloud native technologiesAbout NirmataNirmata empowers organizations to innovate rapidly without compromising security or compliance. With Gartner forecasting that 99% of cloud security failures will result from misconfigurations by 2027, Nirmata's policy-as-code platform offers a proactive solution. Nirmata's highly customizable policies seamlessly integrate with your cloud-native environments, ensuring robust governance and security at scale. Trusted by top financial institutions and global enterprises—and with over 3.2 billion downloads of Kyverno, Nirmata's open source policy engine —Kyverno simplifies compliance, mitigates risk, and accelerates the enterprise journey to secure innovation.Nirmata’s success is built on the diverse contributions of its employees. We're committed to an inclusive workplace where everyone's perspective is valued, and we do not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All application information will be kept confidential in accordance with EEO guidelines.Nirmata uses E-Verify for US-based roles, confirming work authorization after a job offer is accepted and the I-9 is completed. If E-Verify can't confirm authorization, we'll provide instructions on contacting DHS or SSA before any action is taken. See the Notice of Right to Work for details.By submitting your application, you acknowledge that Nirmata will process your personal data in accordance with our Privacy Policy.",Not Applicable,Software Engineer Intern- AI/ML & Kubernetes
+77,2025-03-23,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Data-Search - TikTok Recommendation - San Jose) - 2025 Start (BS/MS)
+78,2025-04-09,Mountain View,California,Intuit,https://www.intuit.com/,"Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
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+We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations. ","OverviewIn this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...What you'll bringModel Prototyping: The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models.Model Productionalization: Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models.Model Enhancement: Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose.Machine Learning Tools: The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling.QualificationsBS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).How you will leadDiscover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $132,000 – 178,500, Bay Area California $136,00 – 184,000, Southern California $122,500 – 165,500 . This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.",Associate,Machine Learning Engineer 2
+79,2025-04-08,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the skills to own the whole ML life cycle, define projects and drive use of best practices across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Responsibilities:Play a critical role in setting the direction and goals for a sizeable team, in terms of project impact, ML system design, and ML best practicesAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence high engineering standardsBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rule-based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering, or a relevant field. 3+ years of experience if you have a PhDExperience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as PyTorch and TensorFlowMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.",Mid-Senior level,Machine Learning Engineer
+80,2025-04-09,Toronto,ON,StackAdapt,http://www.stackadapt.com,"StackAdapt is a digital advertising platform that specializes in native, display, video, connected TV, audio, in-game, and DOOH advertising. 
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+Our state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience. StackAdapt is designed around the three core pillars of programmatic—planning, executing and analyzing.
+
+StackAdapt is ranked as the number 1 DSP on G2. For six consecutive years with over hundreds of reviews, StackAdapt has been recognized as a high performer and the highest-ranking DSP in customer satisfaction by G2. StackAdapt was also recognized as an Enterprise Fast 15 winner as part of the Technology Fast 50™ program in 2023 and is one of Ad Age’s Best Places to Work in 2024.
+
+Learn more about StackAdapt here: www.stackadapt.com. And if you're looking for a change, we'd love to have you on our team—check out our open roles by visiting: www.stackadapt.com/careers.
+
+StackAdapt is headquartered in Toronto, Canada. We have teams and client support across North America, EMEA, APAC, and LATAM.","StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.We're looking to add Machine Learning Engineers to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/Learn more about our team culture here: https://www.stackadapt.com/careers/data-scienceWatch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuUStackAdapt is a Remote First company, and we are open to candidates in various of our operating locations throughout the globe!What you'll be doing: Design modular and scalable real time data pipelines to handle huge datasetsUnderstand and implement custom ML algorithms in a low latency environmentWork on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrentlyWhat you'll bring to the table:Have the ability to take an ambiguously defined task, and break it down into actionable stepsHave deep understanding of algorithm and software design, concurrency, and data structuresExperience in implementing probabilistic or machine learning algorithmsInterest in designing scalable distributed systemsA high GPA from a well-respected Computer Science programEnjoy working in a friendly, collaborative environment with othersStackAdapters enjoy:Competitive salary + equity401K matching3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays offAccess to a comprehensive mental health care platformHealth benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership for those who want a change from their home officeRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, etc)Access to StackAdapt programmatic courses and certifications to support continuous learningMentorship opportunities with industry leadersAn awesome parental leave policyA friendly, welcoming, and supportive cultureOur social and team events!If this role speaks to you then please apply - we'd love to speak with you. Due to a high volume of interest, only those shortlisted for interview will be contacted.StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.About StackAdaptWe've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:Ad Age Best Places to Work 2024G2 Top Software and Top Marketing and Advertising Product for 2024Campaign’s Best Places to Work 2023 for the UK2024 Best Workplaces for Women and in Canada by Great Place to Work®#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising",Entry level,Machine Learning Engineer
+81,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are also exploring how to leverage LLM to further enhance TikTok users search experience, potentially sharping the search engine for the next generation. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding from the perspective of the video itself and social network, improve authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (Data-Search - TikTok US - Seattle) - 2025 Start (BS/MS)
+82,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+83,2025-03-28,Ridgefield Park,NJ,Samsung Electronics America,http://www.samsung.com/us/,"Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays.
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+We’re committed to keeping co-prosperity at our core through creating human-centric innovation, empowering the next generation and serving the communities where we live and work. As an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, SEA is dedicated to positively impacting the environment through its eco-conscious products, practices and operations. ","Position SummarySamsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe.We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team.ResponsibilitiesRole and ResponsibilitiesLead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market.Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.Mentor junior engineers and provide technical guidance.Learn quickly and adapt to a fast-paced working environment.Skills And QualificationsExperience Requirements:Master’s or PhD degree in Computer Science or related fields.4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.Solid theoretical background in machine learning and/or data mining.Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).Hands-on experience with production-grade machine learning solutions.Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).Extensive programming experience in Python, Go or other OOP languages.Familiarity with data structures, algorithms and software engineering principles.Proficiency in SQL and databases.Strong communication and interpersonal skills to drive cross-functional partnerships.Preferred Experience Requirements:Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).Basic knowledge about Amazon Web Services (AWS).Experience with the advertising industry and real-time bidding (RTB) ecosystem.CALIFORNIA ONLYSalary Range Pay Transparency: Compensation for this role, for candidates based in Mountain View, CA is expected to be between $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.Reasonable Accommodations for Qualified Individuals with Disabilities During the Application ProcessSamsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.",Entry level,Machine Learning Model Engineer
+84,2025-04-09,Santa Clara,CA,Atem Corp,http://atemcorp.com/,"ATEM Corp is an IT Consulting organization since Y2004 and been very successful in implementing Enterprise Application Solutions, Network Engineering, Cyber Security & Identity Management to the Fortune 500 companies. ATEM provides strategic guidance and highly skilled technology consultants who transform gaps into solutions to solve clients’ most complex business challenges and problems.  We have a highly specialized team of instructors and industry leading infrastructure.  This enables us to conduct comprehensive in lab and remote training online for consultants/ graduates looking to enhance their career opportunities.
+
+•	In our state-of-the-art labs, we have excellent infrastructure and  Networking equipment that are constantly upgraded to popular industry trends standards 
+•	ATEM is an E-Verified employer geared towards training and placing OPT/ STEM graduates.  We sponsor H1B and GC for qualified candidates
+•	Free accommodation is provided for trainees from out of state enabling them easy 24-7 access to our lab facilities
+•	One-way relocation expenses are covered for trainees coming in from out of state.
+•	They say “Manners Maketh Man” - similarly “Certifications Market’th Resume”.  Our training enables candidates to get certified in the most popular vendor based certifications in the market (CCNA, CCNP, Hortonworks, Hadoop etc…)
+•	Our marketing & placement team work closely with candidates to ensure faster placements on client projects and also guide candidates to achieve their selected career goals
+
+Modules offered by ATEM
+
+•	CCNA/CCNP/Cisco /Networking | Hands on Training and Placement | Register Today 
+•	Datacenter Networking | Hands on Training and Placement | Register Today
+•	Network Security | Hands on Training and Placement | Register Today
+•	Comprehensive Big Data (Hadoop) | Online Training & Placement | Register Today 
+•	Big Data (Hadoop/ Hortonworks) Certifications | Online Training & Placement | Register Today","Role- AI/ML Data ScientistLocations- Atlanta, GA (Locals or nearby)Duration- Long TermExp Level- 12+ yrsUSC/GC/H4Job DutiesCollect software requirements from Business and Subject Matter Experts and analyse requirements.Collaborating with data scientists and analysts to understand data requirementsCommunicating technical concepts to non-technical stakeholdersPerform requirement analysis, design, develop/modify, build, and deploy software applications/utility software applications.Monitoring data pipelines for performance and reliabilityTroubleshooting and resolving issues in data pipelinesDeveloping and optimizing data processing algorithmsImplementing parallel processing and distributed computing techniquesPerforming exploratory data analysisDevelop and implement a set of techniques or analytics applications to transform raw data into meaningful information.Source data identification and collectionData extraction from various databases, APIs, and external sourcesData ingestion and integration into data pipelinesData cleaning and preprocessingStructuring Unstructured DataImplementing data quality checks and validationsExperience in programming languages, technologies and Software tools required for this position are :Python, MATLAB, JavaScript, XML, SQL, HTML, Shell, Huggingface, PyTorch, Tensorflow, Pandas, matplotlib, NumPy, d3, dplyr, GitHub, Azure DevOps, GitLab, Jupiter Notebook, Machine Learning, Predictive modelling, MLOps etc..Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.Designing and maintaining data storage systemsDatabase management and optimizationImplementing data security measuresVisualize, interpret, and report data findings. Create dynamic data reports.Creating dashboards and reports for data visualizationImplementing interactive data visualization toolsEstablishing data governance policies and proceduresEnsuring compliance with data regulations and standards",Entry level,AI/ML Data Scientist
+85,2025-03-20,New York,New York,PermitFlow,www.permitflow.com,PermitFlow is the nation's leading permit application and management platform. We help builders across the country to simplify and speed up the process of obtaining construction permits.,"🚀 About PermitFlowPermitFlow’s mission is to streamline and simplify construction permitting in the $1.6 trillion United States construction market. Our software reduces time to permit, supporting permitting end-to-end including permit research, application preparation, submission, and monitoring.We’ve raised a $31m Series A led by Kleiner Perkins with participation from Initialized Capital, Y Combinator, Felicis Ventures, Altos Ventures, and the founders and executives from Zillow, PlanGrid, Thumbtack, Bluebeam, Uber, Procore, and more.Our team consists of architects, structural engineers, permitting experts, and workflow software specialists, all who have personally experienced the pain of permitting.📌About The TeamWe have a lean but mighty engineering team. We’ve done a lot with a little, but there’s much more work to be done to continue our fast-paced growth and we want you to be a part of that growth. You’ll help us get there by owning end-to-end projects, talking with customers, and ultimately supporting the growth of PermitFlow.✅ What You’ll Do: You'll work alongside the CTO and engineering team to develop the first construction permit application and management platform for builders. Our current team consists of engineers from Uber, Amazon, NerdWallet, OnDeck, Harvard, Stanford, and more. We are background and experience agnostic, and we encourage anyone to apply if they are passionate about joining a small team and working to solve a real-world pain point.We are seeking a Machine Learning Engineer to help build intelligent systems that enhance our permit processing, document understanding, and compliance workflows. You will work on LLM-based models, retrieval-augmented generation (RAG) pipelines, and AI-driven automation, leveraging state-of-the-art techniques to extract, analyze, and structure complex permitting data.Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit application workflows. Develop and fine-tune retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval. Experiment with pre-trained models and fine-tune them for permit-related NLP tasks, such as document classification and entity recognition. Build scalable machine learning infrastructure, integrating with backend systems to support AI-driven workflows. Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance. Monitor and improve the performance and scalability of deployed models. Stay updated with the latest research in LLMs, NLP, retrieval systems, and apply best practices to our AI models. Collaborate with engineers, product managers, and legal experts to develop AI-native solutions for complex permitting challenges. 🙌 Qualifications & Fit:3+ years of experience in machine learning engineering, ideally in production environments. Strong understanding of LLMs (e.g., OpenAI GPT, Hugging Face models) and their applications. Hands-on experience with retrieval systems (e.g., Elasticsearch, FAISS, or vector databases). Proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with ML model deployment, monitoring, and scaling in a cloud environment (AWS, GCP, or Azure). Strong problem-solving skills and ability to work in a fast-paced, high-ownership environment. 💙 Benefits📈 Equity packages💰 Competitive Salary🩺 100% Paid health, dental & vision coverage💻 Home office & equipment stipend🍽️ Lunch & Dinner provided via UberEats w/ a fully stocked kitchen🚍 Commuter benefits🎤 Team building events🌴 Unlimited PTOCompensation Range: $190K - $240K",Entry level,"Machine Learning, Software Engineer (Remote)"
+86,2025-03-24,Seattle,WA,Uniblox,https://www.uniblox.io,"Uniblox is a no-code eCommerce platform for carriers to create and distribute insurance products, delight customers with premium experiences, and boost sales with AI insights.
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+Our platform has enabled clients to transform operations, like reducing group medical underwriting from 60 days to achieving 65% same-day decisions. This efficiency leap is on track to boost participation rates by over 10% and save thousands of hours previously lost to manual processes.
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+Launching a pilot with Uniblox is a streamlined, 2-week process requiring just your filed application, rates, and underwriting manual. Connect with us to unlock unprecedented efficiency and growth for your insurance offerings.","Are you passionate about building AI-driven solutions that solve real-world problems? At Uniblox, we are modernizing the insurance industry using cutting-edge AI, NLP, LLMs and machine learning. Our platform processes structured and unstructured data in real time to deliver instant, seamless insurance experiences.As a Machine Learning Engineer, you will play a critical role in developing, deploying, and optimizing machine learning models that power our AI-driven platform. You’ll collaborate with data scientists, software engineers, and product teams to bring intelligent solutions into production and continuously improve model performance.What You’ll DoDesign, develop, and deploy machine learning models, focusing on NLP, predictive analytics, and automation.Build and optimize scalable ML pipelines for data ingestion, feature engineering, training, and inference.Implement, fine-tune, and monitor models in production to ensure efficiency, reliability, and accuracy.Work closely with data scientists to translate research models into production-ready solutions.Develop and maintain APIs to integrate ML models into real-time applications and services.Optimize model performance and scalability through experimentation and continuous improvements.Collaborate with software engineers to ensure seamless deployment and monitoring of ML models.Maintain best practices in ML engineering, including version control, CI/CD pipelines, and cloud deployment.What You’ll Bring3-5 years of hands-on experience in developing and deploying machine learning models in production environments.Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.Strong knowledge of data structures, algorithms, and software engineering best practices.Experience working with cloud platforms (AWS, GCP, or Azure) and deploying ML models in scalable architectures.Hands-on experience with MLOps tools such as MLflow, Docker, Kubernetes, or SageMaker.Solid understanding of NLP, time-series forecasting, or recommendation systems.Experience working with large-scale data processing tools such as Spark, Dask, or Ray.Familiarity with version control (Git), CI/CD workflows, and Agile methodologies.Strong problem-solving skills and the ability to work in a fast-paced, collaborative startup environment.Nice to HaveExperience with Retrieval Augmented Generation (RAG), LLMs, or Generative AI.Knowledge of real-time streaming frameworks like Kafka.Background in insurance or fintech industries.EducationBS/MS in Computer Science, Data Science, Machine Learning, or a related field.",Mid-Senior level,Machine Learning Engineer
+87,2025-03-03,Boston,Massachusetts,"Tagup, Inc.",https://www.tagup.io,"Tagup Inc. was founded in 2017 with a mission to maximize efficiency by using artificial intelligence to optimize equipment, systems, and processes. The company’s core IP and competitive advantage are related to its data pipeline and novel machine-learning techniques. Tagup’s industrial artificial intelligence software is deployed in applications covering a diverse set of capabilities, including maintenance optimization, process optimization, asset lifecycle planning, and inventory optimization. Current system applications range across building systems, military logistics, electric transmission and distribution, power generation, water purification, and renewable energy.","At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient. As a rapidly scaling AI/ML technology company, we are looking to expand our team.Tagup's AI software directly controls large scale industrial equipment and logistics systems, ensuring our customers are running optimally. We are looking for skilled engineers who are interested in helping us scale and automate our infrastructure as we expand our customer base and process more data.As a Machine Learning Engineer, you will work closely with our deployment team to provide innovative analytics and software solutions for our customers. Your primary responsibilities will include building and maintaining various stages of our data processing workflow. This involves ingesting raw customer data, fine-tuning and deploying machine learning models, and presenting the results in client-facing web applications.ResponsibilitiesDevelop and deploy analytic models on industrial dataIntegrate new data sources into our data pipelineBuild and maintain data processing toolsValidate model performance and quantify value creation potential Co-author technical reports on data analysis and model performanceCollaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be requiredDesired SkillsYou are highly technical and analytical, with 4+ years of machine learning experienceYou have experience building and managing large pieces of cloud infrastructure as code, using providers such as AWS, Azure, and GCP, with tools such as Chef, Terraform, Puppet, ansible, cloud formation, and salt stackYou possess strong skills in at least one modern programming language, such as Python (preferred), Ruby, JavaScript, or JavaYou have experience with at least one type of datastore (MySQL, Postgres, InfluxDB, MongoDB)Bonus PointsExperience with PyTorch and/or PyroFamiliarity with KubernetesFamiliarity with Weights and BiasesBackground in variational inference, Gaussian processes, hidden Markov models, and/or time series analysisDirect experience working with enterprise customersAs a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings!Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions.",Not Applicable,Machine Learning Engineer
+88,2025-03-27,Charlotte,NC,Sealed Air Corporation,http://www.sealedair.com,"Sealed Air is in business to protect, to solve critical packaging challenges, and to make our world better than we find it. Our automated packaging solutions promote a safer, more resilient, and less wasteful global food, fluids and liquids supply chain, enable e-commerce, and protect goods in transit from damage.
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+Our globally recognized solution brands include CRYOVAC® food packaging, LIQUIBOX® fluids and liquids systems, SEALED AIR® protective packaging, AUTOBAG® automated packaging systems, BUBBLE WRAP® packaging, SEE Automation™ and prismiq™ digital packaging and printing.
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+Our partnership with customers creates value through sustainable, automated, and digital packaging solutions, leveraging our industry-leading expertise in materials, automation systems, engineering and technology.
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+Our Sealed Air Net Positive Circular Ecosystem is leading the packaging industry in creating a more environmentally, socially, and economically sustainable future. We have pledged to design or advance 100% of our packaging materials to be recyclable or reusable by 2025, with a bolder goal to reach net-zero carbon emissions in our global operations by 2040. Our Global Impact Report highlights how we are shaping the future of the packaging industry. 
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+In 2024, Sealed Air generated $5.4 billion in sales and has approximately 16,400 employees who serve customers in 117 countries/territories. To learn more, visit sealedair.com.","Sealed Air designs and delivers packaging solutions that protect essential goods transported worldwide, preserve food, enable e-commerce and digital connectivity, and help create a global supply chain that is touchless, safer, less wasteful, and more resilient. We strive to foster a caring, high-performance growth culture that will deliver consistent, sustainable profitable growth and accelerate our performance – a culture where accountability is clear and aligned, and where we reward business outcomes and impact. That culture guides everything we do, including how we partner with our customers and suppliers, how we attract and retain top talent, and how we create and deliver value for our stakeholders. In 2024, Sealed Air generated $5.4 billion in revenue and had approximately 16,400 employees distributing products and services to 117 countries/territories around the world. To learn more, visit www.sealedair.com.Position SummaryCome join our team at the Sealed Air Automation & Connectivity Lab! We deliver innovative cloud-based IoT product solutions through our culture of being customer focused and driving business value. You will have the opportunity to collaborate with talented team members across various functions, including software and hardware engineers, product owners, and customer support teams. Our teams work on innovative feature backlogs and drive creative and unique solutions to solve real world customer problems We are seeking a talented and experienced AI/ML Software Engineer to join our innovative team. The ideal candidate will have a strong background in software engineering, data engineering, and cloud-based AI/ML solutions. You will play a crucial role in driving our AI/ML initiatives, applying emerging technologies to IOT and machine data challenges, and building scalable, intelligent systems that enhance our products and processes.Job DescriptionDevelop, and deploy machine learning models and AI solutions in cloud platforms like AWS that leverages IoT data to deliver business valuePerform data preprocessing, feature engineering, and model evaluation to ensure high-quality and accurate results.Apply software development skills to integrate AI/ML models into a cloud-native architecture.Work closely with cross-functional teams, including DevOps engineers, business stakeholders, and product managers, to build robust ML infrastructure and pipelines that address IoT data challenges and translate business needs into scalable AI/ML solutions. Conduct technical design reviews and provide architectural guidance.Contribute to ongoing learning events and activities to continuously enhance skills.Skills NeededBachelor's degree in in Computer Science, Engineering, or a related technical field.A minimum of five years of professional experience in software development with Java or PythonStrong mathematical and computational skills, with a deep understanding of statistics, algorithms and optimization techniquesHands-on experience with ETL pipeline development and large-scale data processing. Experience in data structures, data modeling, and software architecture to design scalable AI/ML solutions.Proactive mindset with the ability to take ownership of challenges, drive technical discussions, a and contribute to decision-making in a collaborative environment.Hands-on experience with relational or NoSQL databases. QualificationsExperience with Cloud platforms (AWS, Azure, or GCP) and their AI/ML services.Proficiency in GEN AI, LLM’s, Open AI, Hugging Face, RAG Models.Experience with big data frameworks such as Apache Spark, Hadoop, and distributed computing. Experience with DevOps/MLOps practices, CI/CD pipelines, and automation tools for AI-ML model deployment. Strong knowledge of API architecture, microservices, and distributed systems for integrating AI models into scalable applications.Familiarity with IoT platforms and handling large volumes of real-time sensor data in an industrial setting. Requisition id: 50910Relocation: NoSealed Air is committed to attracting, selecting, and developing talent that reflects the diversity of the communities and customers we serve. We take pride in our selection process to identify, infuse, and grow talent to align with our culture, values, and norms. Sealed Air prioritizes talent development, fostering a culture of continuous growth and career progression. The company is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state and local laws.Please be cautious of fraudulent recruiting efforts using the Sealed Air name or logo. Sealed Air will never request private information during the application process, such as a Driver's License or Social Security Number. If you have any concerns about information received from SEE during the application process, please reach out to us directly at globalta@sealedair.com.LINK1 MON1",Associate,AI/ML Software Engineer
+89,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+90,2025-01-03,,,Chubb,https://www.chubb.com/,"Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs approximately 40,000 people worldwide.
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+Read our Social Media Guidelines here: https://www.chubb.com/us-en/about-chubb/chubbs-social-media-guidelines.aspx
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+Notre section « À propos » est également disponible en français, ici: https://www.chubb.com/ca-fr/about-chubb-in-canada/a-propos-de-chubb-au-canada.aspx","Job DescriptionThe North America Sales & Distribution Data Analytics team at Chubb is seeking a machine learning engineer with 2-3+ years of industry experience to join our fast-paced, high-energy team.As an MLengineer for North America Data Analytics, you will develop solutions to complex business problems which combine industry standard practices with innovation. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet data challenges head-on as you develop and refine data processes to marry data from multiple structured and unstructured data sources which ultimately feed into the evaluation, implementation, and monitoring of predictive models.In This Role You WillBuild, test and deploy Machine Learning/Deep Learning tools and pipelines, to solve internal and external business requirementsTake part in every step of the model creation process from ideation to deploymentCreate and maintain automated and semi-automated data pipelines within on-prem servers as well as in cloud (Azure).Play an active role in model deployment and testing.Create excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups.Effectively communicate with key stakeholders in written, oral and presentation formats.QualificationsEducationBachelor’s degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus).RequiredExcellent and demonstrable programming ability in Python.Significant experience with writing complex SQL queriesExperience deploying solutions as Databricks jobs/ dockerized containersHands-on experience with big data technologies and cloud (Spark, Azure/AWS/GCP).Understanding of LLM functionality and inference techniquesWorking knowledge/familiarity with Git version control.Solid understanding of databases and ETL/ELT best practices.Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion.Ability to multi-task, learn new things quickly, and have excellent problem solving & communication skills.A mindset for collaboration, knowledge sharing and keeping up to date on emerging industry trends.PreferredExperience with at least one other programming language (JavaScript, Java, C++/C)Experience with Azure suite of applications Comfortable with command line (Linux, Windows) scripting.Strong expertise in authoring ETL pipelines and processing data at scale.Nice to haveExposure to technologies such as DBT, Apache AirFlow or Luigi.Working knowledge of containers, specifically Dockerizing APIs.Exposure to CI-CD pipelines.Comfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.).Location:We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ)Please note there will be limited expected travel to various work locations for in person collaboration and meetings. The pay range for the role is $96,300 to $163,700. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website . The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.About UsChubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.",Entry level,Machine Learning Engineer
+91,2025-01-30,Palo Alto,CA,Escalon Services,https://escalon.services/,"If you’re like us, you’re in business to do what you love—build great products, teams, and customer relationships. Paying bills, generating financial reports, sending invoices, managing taxes, and running payroll are necessary and often urgent - distractions. 
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+At Escalon, we help you focus on what you love by handling your non-core and necessary back-office work. 
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+Escalon was founded in 2006 in Palo Alto, CA, to serve small and medium-sized businesses and non-profits. In 2020, we made a significant stride by acquiring Early Growth, the leading CFO, accounting, and tax services provider to venture-backed startups. This was followed by another milestone in 2022 when we acquired Full Stack Finance, a leading finance and HR services provider to startups and private equity-backed businesses. 
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+The combined companies have provided outsourced finance, accounting, tax, HR, and insurance services to over 20,000 customers in more than 40 countries. ","Department: Recruiting DoneLocation: San FranciscoCompensation: $140,000 - $160,000 / yearDescriptionOur client has built and published award-winning research on the frontier of AI. They have built and worked on deep learning, reinforcement learning, multi-agent systems, economics, robotics, automated experiment design, program synthesis, formal verification, and more. Their mission is to build intelligence to co-invent the future. They envision a future where people and powerful AI agents interact and collaborate in unseen ways to create and discover. To achieve this, they build AI that plans, abstracts, verifies, and discovers new skills and knowledge. They are backed by top-tier investors and partners including Eric Schmidt (former CEO of Google and former Executive Chairman of Alphabet), Caltech, Jeff Dean (Chief Scientist, Google DeepMind and Google Research), and JP Millon.Key ResponsibilitiesWhat you'll doBe a key team member that will help set the course, take ownership, and execute rapidly.Design, train, and evaluate hybrid AI systems that perform well at scale and make optimal trade-offs.Build data processing pipelinesImplement machine learning modelsRun machine learning workloads at scale using distributed computingDefine and apply simple design principles that scale (Occam's Razor)Solve min-max problems: how can we do more with less?Accelerate our work by removing operational and tooling bottlenecks.Skills, Knowledge and ExpertiseWhat we look forYou enjoy and are energized by solving challenging and meaningful real-world problems.You have a track record in a technical domain, e.g., machine learning, computer science, physics, math.You have developed and implemented machine learning algorithms, models, and tools.You have strong programming (Python, C++) and math abilities.You have clear verbal and written communication skillsYou have strong conceptual and structured thinking.You are willing and able to learn quickly.You have team spirit.You can independently structure, plan, prioritize, and get things done.You have a drive for excellence, a sense of urgency, and bias to action.It would be nice to haveOpen-source projects, published research papers, or other examples of experience in using machine learning.Experience with applying deep learning, reinforcement learning, unsupervised learning, and other techniques to large-scale problems.Experience with distributed computing and handling large datasets.BenefitsOur compensation, benefits, and perksCompetitive salaryStock options100% covered premium health, dental, and vision insurance.Wellness benefits (e.g., gym, fitness classes, physical therapy).Retirement 401k: 100% match of your 401k deferrals up to 4% of your compensation.Commuter benefitsDaily meals in the officeTraining and development budget, e.g., for domestic conferences.Flexible working hoursUnlimited PTO (with manager approval)Team-building events and celebrations",Mid-Senior level,Machine Learning Engineer
+92,2024-11-13,,,"Paradyme, a CATHEXIS Company",,,"OverviewParadyme, a CATHEXIS Company is a rapidly growing government technology leader that puts service first, for its customers, its team and the communities it supports. We harness DevSecOps and Agile development processes to deliver exceptional results for digital transformations. With headquarters office in Tysons Corner, VA, our award-winning culture sets it apart through its team’s deep commitment to service and collaboration with its customers, each other and the community. Learn more at www.paradyme.us .ResponsibilitiesParadyme, a CATHEXIS Company is hiring a Data Scientist /ML Engineer to support mission critical programs.DutiesThe Data Scientist /ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Duties include: Research, design, implement, and deploy Machine Learning algorithms for enterprise applications.  Assist and enable federal customers to build their own applications.  Contribute to the design and implementation of new features. Qualifications Master's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields or Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields with one year of r elevant work experience.  Excellent programming skills in Python.  Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).  Strong mathematical background (linear algebra, calculus, probability, and statistics).  Experience with scalable ML (MapReduce, streaming).  Ability to drive a project and work both independently and in a team.  Smart, motivated, can-do attitude, and seeks to make a difference.  Excellent verbal and written communication.  MUST be eligible to obtain a Department of Defense (DoD) Secret or Top Secret clearance. Nice To Have MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.  Real passion for developing team-oriented solutions to complex engineering problems.  Thrive in an autonomous, empowering and exciting environment.  Great verbal and written communication skills to collaborate multi-functionally and improve scalability.  Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment.  Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.  Experience with deep learning, natural language processing, computer vision, or reinforcement learning.  Conveys highly technical concepts and information in written form to technical and non-technical audiences.  The ability to work on multiple concurrent projects is essential. Strong self -motivation and the ability to work with minimal supervision.  Must be a team-oriented individual, energetic, result & delivery oriented, with a keen interest on quality and the ability to meet deadlines.  Ability to work in an agile environment Physical Requirements: These are the essential physical requirements needed to successfully perform the job.Sedentary work.Requires sitting up to 8 hours per day.May require lifting up to 5 pounds unassisted.Fine repetitive motor skills with hands, wrists, and fingers in coordination with eyes.Hearing, speaking, and vision: Adequate to perform job duties and communicate in person, via video, and telephone. Includes reading information from printed sources and computer screens.Other: Work may be performed in an office environment, which may involve frequent contact with staff and the public. Work may be stressful at times. EEO Statement Paradyme, a CATHEXIS Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact HR@paradyme.us",Entry level,Data Scientist / ML Engineer
+93,2025-04-01,San Jose,CA,Zoom,www.zoom.com,"Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom AI-first work platform you know and love. 💙
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+Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, Contact Center and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.
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+We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you'll find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
+
+Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home","What You Can ExpectZoom is a leading collaboration platform company pioneering the development of autonomous AI agents and Large Language Models to enhance communication and productivity solutions. We're dedicated to advancing the frontier of AI-powered collaboration tools that can understand, reason, and act autonomously while maintaining security and trust.About The TeamWe're seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.ResponsibilitiesDesign and implement autonomous agent systems with task reasoning, planning, and execution capabilities.Develop prompt engineering frameworks for reliable agent behavior and coordination in multi-agent environments.Build and maintain LLM-powered services using models like GPT-4, Claude, and internal models.Develop efficient prompt management systems and evaluation frameworks for optimizing agent performance.Optimize model infrastructure for low latency, high throughput, and reliable context handling.Deploy agent systems on Kubernetes with monitoring, logging, and scalable microservices architectures.Implement vector storage and retrieval systems for semantic search and efficient memory management.Build robust testing frameworks for agent behavior validation and continuous improvement.Ensure proficiency in LLM APIs, agent frameworks, Python, ML frameworks, distributed systems, and semantic search.What We’re Looking ForAdvanced degree in Computer Science or related fields.3+ years of experience in ML engineeringStrong background in NLP and transformer architecturesExperience with production ML systemsExperience building autonomous agent systemsResearch experience in LLM alignment or safetyContributions to open-source LLM/agent projectsPublications in NLP/ML conferencesMinimumSalary Range or On Target Earnings:$222,400.00Maximum$486,500.00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.We also have a location based compensation structure; there may be a different range for candidates in this and other locations.Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.Our Commitment We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.",Not Applicable,Machine Learning Engineer - AI Agent
+94,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+95,2025-03-03,Boston,Massachusetts,"Tagup, Inc.",https://www.tagup.io,"Tagup Inc. was founded in 2017 with a mission to maximize efficiency by using artificial intelligence to optimize equipment, systems, and processes. The company’s core IP and competitive advantage are related to its data pipeline and novel machine-learning techniques. Tagup’s industrial artificial intelligence software is deployed in applications covering a diverse set of capabilities, including maintenance optimization, process optimization, asset lifecycle planning, and inventory optimization. Current system applications range across building systems, military logistics, electric transmission and distribution, power generation, water purification, and renewable energy.","At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient. As a rapidly scaling AI/ML technology company, we are looking to expand our team.Tagup's AI software directly controls large scale industrial equipment and logistics systems, ensuring our customers are running optimally. We are looking for skilled engineers who are interested in helping us scale and automate our infrastructure as we expand our customer base and process more data.As a Machine Learning Engineer, you will work closely with our deployment team to provide innovative analytics and software solutions for our customers. Your primary responsibilities will include building and maintaining various stages of our data processing workflow. This involves ingesting raw customer data, fine-tuning and deploying machine learning models, and presenting the results in client-facing web applications.ResponsibilitiesDevelop and deploy analytic models on industrial dataIntegrate new data sources into our data pipelineBuild and maintain data processing toolsValidate model performance and quantify value creation potential Co-author technical reports on data analysis and model performanceCollaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be requiredDesired SkillsYou are highly technical and analytical, with 4+ years of machine learning experienceYou have experience building and managing large pieces of cloud infrastructure as code, using providers such as AWS, Azure, and GCP, with tools such as Chef, Terraform, Puppet, ansible, cloud formation, and salt stackYou possess strong skills in at least one modern programming language, such as Python (preferred), Ruby, JavaScript, or JavaYou have experience with at least one type of datastore (MySQL, Postgres, InfluxDB, MongoDB)Bonus PointsExperience with PyTorch and/or PyroFamiliarity with KubernetesFamiliarity with Weights and BiasesBackground in variational inference, Gaussian processes, hidden Markov models, and/or time series analysisDirect experience working with enterprise customersAs a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings!Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions.",Not Applicable,Machine Learning Engineer
+96,2025-04-08,Bengaluru South,Karnataka,VOIZ | voizworks.com,https://www.voizworks.com,"VOIZ is a tele-jobs marketplace. We get tele-jobs done for small, medium and large companies on a fully outsourced model.
+
+VOIZ has 25K active WFH agents and has worked with 300+ clients since inception.","About TennrToday, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster.Tennr is a NYC-based tech company that launched out of Y-Combinator and is backed by Lightspeed Venture Partners, Andreessen Horowitz, Foundation Capital, The New Normal Fund, and other top investors.Key ResponsibilitiesMachine Learning Engineers at Tennr are expected to wear a variety of hats. In the role, you will be expected to do the following:End-to-End Model Development: Architect, train, deploy, and monitor machine learning models, especially open-source LLMs and traditional computer vision models, to deliver tangible value to Tennr’s customers.Data Processing & ML Ops: Build, optimize, and maintain data pipelines and machine learning infrastructure, enhancing our operational capability as data volume and complexity grow.System Integration: Design and implement backend workflows leveraging machine learning to automate critical processes within Tennr’s platform.Custom Model Development: Fine-tune large language models, vision language models, and traditional computer vision models tailored specifically for medical document understanding and related tasks.Product Collaboration: Work closely with sales, customer success, and implementation teams to integrate customer feedback into actionable improvements and innovative solutions.Evaluation and Optimization: Develop robust evaluation frameworks to measure model performance and efficacy within complex, multi-model systems.Qualifications3+ years of professional experience in an applied machine learning engineering role, ideally post-BS/MS.Proven experience deploying and maintaining machine learning models in production environments, preferably within startups or rapidly evolving companies.Practical experience fine-tuning open-source LLMs and/or traditional computer vision models.Familiarity with robust ML Ops stacks, infrastructure management, and operational best practices for machine learning at scale.Comfort working within complex systems that integrate multiple machine learning components, with experience building evaluation frameworks to ensure system performance.Academic background in machine learning, mathematics, or related fields preferred.Up-to-date knowledge of recent advancements in large language models (LLMs) and enthusiasm for tracking rapid developments in the space.Prior startup experience or exposure to environments leveraging state-of-the-art ML models strongly preferred.",Entry level,Machine Learning Engineer
+97,2025-03-26,Toronto,Ontario,Ideogram,https://ideogram.ai/,"Ideogram is defining the future of design in the age of AI. Turn your ideas into stunning graphic designs, in a matter of seconds. It's pronounced eye-dee-oh-gram.","Ideogram’s mission is to help people become more creative. Our thesis is that everyone has an innate desire to create. We are developing state-of-the-art AI tools that will make creative expression more accessible and efficient. We are pushing the limits of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a growing presence in NYC. Read our Ideogram 3.0 and Canvas blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About The RoleAs a Machine Learning Engineer, you will build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.What We're Looking For2+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlowExperience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratchTrack record in machine learning innovation and familiarity with Deep Learning and advanced Machine LearningEnd-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AIAbility to debug machine learning models to iteratively improve model quality and performanceNice to have: Familiarity with kubernetes and dockerOptional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel codeFounding teamOur founding team consists of world-renowned AI experts including Mohammad Norouzi, Jonathan Ho, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, UC Berkeley, CMU, and the University of Toronto. Our fundamental work in AI includes: Imagen: Google’s text-to-image system, Imagen Video for video synthesis, Denoising Diffusion Models, which is the foundation of the recent generative media transformation.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.",Entry level,Machine Learning Engineer
+98,2025-03-13,New York,,Dstillery,https://www.dstillery.com,"Dstillery is the leading AI ad targeting company. We empower brands and agencies to target their best prospects for high-performing programmatic advertising campaigns. Backed by our award-winning Data Science, Dstillery has earned 23 patents (and counting) for the AI technology that powers our precise, scalable audiences. Our newest technology, ID-free®, is patented, privacy-safe behavioral targeting that reaches 100% of ad impressions and can be used with any Dstillery product. Our premier user segment product, Custom AI Audiences, is a just-for-your-brand targeting solution that refreshes hundreds of millions of users every 24 hours to deliver the best performance. 
+
+To learn more, visit www.dstillery.com. For career opportunities, visit dstillery.com/careers.","About DstilleryDstillery is the leading AI ad targeting company. We empower brands and agencies to target their best prospects for high-performing programmatic advertising campaigns. Backed by our award-winning Data Science, Dstillery has earned 24 patents (and counting) for the AI technology that powers our precise, scalable audiences. Our newest technology, ID-free®, is patented, privacy-safe behavioral targeting that reaches 100% of ad impressions and can be used with any Dstillery product. Our premier user segment product, Custom AI Audiences, is a just-for-your-brand targeting solution that refreshes hundreds of millions of users every 24 hours to deliver the best performance.The TeamWe are looking for a software engineer with strong cloud DevOps skills to join our Data Science Department as a Machine Learning Engineer. You will work on automating, building and deploying production machine learning solutions. You will have the opportunity to work alongside Machine Learning Engineers, Researchers and Analysts within our Data Science team who together create solutions that power innovation and drive revenue growth for Dstillery.The Machine Learning Engineering team often tackles greenfield projects and we are in the midst of building exciting new products on top of a modern, cloud based machine learning platform, making it an exciting time to join and help shape our future machine learning products.We believe diverse voices and backgrounds lead to richer perspectives and more innovative products. We strive to be a welcoming, safe and inclusive place to work that takes work life balance seriously and gives you the flexibility and support to be happy and productive. We value a diversity of professional backgrounds, and our colleagues come from various settings such as academia, fintech, adtech, big tech companies, startups, etc.As a Machine Learning Engineer here is what you'll learn and doDevelop our MLOps processes and toolsCollaborate with researchers and other machine learning engineers to build exciting new machine learning productsExplore, build and deploy machine learning infrastructure at scaleWrite production code and data pipelines and conduct code reviewsPromote and exemplify best practices of engineering and data science throughout the organizationYou'll haveA bachelor's degree in a quantitative field (CS, EE, Statistics, Physics, Math, etc.)2+ years of industry software engineering experiencePassion for clean code, building, and automationTechnologies we useDstillery anticipates all candidates will need some sort of on-the-job training and a willingness to learn through collaboration is key. We understand that you may not already be an expert in the various technologies we use, but you should be ready to learn and work with:Google Cloud PlatformPythonMachine learning frameworks such as scikit-learn, TensorFlow, PyTorchAirflow, Spark, SQL, Kubernetes, JenkinsX, TerraformLocationPosition can be based at our New York office or remotely locatedDstillery is an Equal Opportunity Workplace",Entry level,Machine Learning Engineer
+99,2025-04-08,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the skills to own the whole ML life cycle, define projects and drive use of best practices across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Responsibilities:Play a critical role in setting the direction and goals for a sizeable team, in terms of project impact, ML system design, and ML best practicesAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence high engineering standardsBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rule-based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering, or a relevant field. 3+ years of experience if you have a PhDExperience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as PyTorch and TensorFlowMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.",Mid-Senior level,Machine Learning Engineer
+100,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+101,2025-03-20,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.Our Perception team builds the system that ""sees"" the world around the self-driving car. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop complex models and techniques at scale.In this hybrid role, you will report to a Technical Lead Manager.You WillApply machine learning techniques to build multi-modal sensor fusion architectures including object detection and tracking, segmentation, road understanding, flow estimation and future prediction.Design large-scale foundation models trained on our vast dataCreate foundation scale data sets to enable self supervised learning and distillationDevelop data mining, labeling, training and evaluation pipelines to help the Waymo DriverYou HaveBachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience3+ years experience in Computer Vision and/or Machine LearningExperience with PythonWe PreferMS or PhD Degree in Computer Science, Robotics or a similar disciplinePublications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, or PAMIExperience with C++The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$170,000—$216,000 USD",Entry level,"Software Engineer, Machine Learning/Computer Vision"
+102,2025-03-05,Lake Mary,Florida,Alpha,http://www.myalphafund.com,"At AlphaFund, we focus on the dynamic intersection of healthcare, biotechnology, and venture capital, uncovering the insights, trends, and opportunities that drive transformational growth. Our mission is to empower investors, entrepreneurs, and industry leaders with the knowledge and connections needed to navigate and thrive in these rapidly evolving sectors.
+
+What We Offer:
+	•	In-Depth Analysis: Explore expert reports and comprehensive insights on Healthcare, Biotech, Medical Technology, Health IT, and the latest advancements in Life Sciences. Our analyses highlight groundbreaking startups and emerging trends that are shaping the future of care and innovation.
+	•	Spotlight on Innovation: Discover the potential of cutting-edge developments in areas like precision medicine, telehealth, digital therapeutics, and biopharma. AlphaFund sheds light on the startups and technologies revolutionizing healthcare delivery and patient outcomes.
+	•	Exclusive Content: Gain access to interviews with industry pioneers, success stories of venture-backed healthcare startups, and thought leadership that provides unparalleled perspectives on the industry.
+	•	Community Engagement: Join a network of investors, entrepreneurs, and biotech enthusiasts. Participate in thought-provoking discussions, webinars, and events that connect you with key players in the healthcare and biotech ecosystem.
+","About UsWe are building the next generation of Enterprise AI, transforming how organizations integrate machine learning into their workflows. Our platform delivers secure, scalable, and adaptable AI solutions, designed for industries that require high-performance computing, data security, and seamless enterprise integrations. As an early member of our engineering team, you’ll shape the backend architecture, define best practices, and directly impact our product roadmap.Your RoleAs a Founding Backend Engineer, you will be responsible for architecting and developing the core infrastructure that powers our AI-driven platform. You’ll work closely with our machine learning, DevOps, and frontend teams to ensure a robust, scalable, and efficient backend system.What You’ll DoArchitect & Build scalable backend services, APIs, and microservices.Optimize Performance to handle large-scale enterprise workloads efficiently.Ensure Security & Compliance to meet enterprise-grade security standards.Integrate AI & ML Models into backend systems for seamless data processing.Collaborate with Product & AI Teams to drive technical strategy and roadmap.Set Engineering Standards by establishing best practices in coding, testing, and deployment.Scale Infrastructure by designing cloud-native solutions on AWS/GCP/Azure.Lead & Mentor future engineers as we grow the team.What We’re Looking For5+ years of backend development experience, ideally in a high-growth startup or AI/ML-focused company.Deep expertise in Python, Go, or Rust (other modern backend languages are a plus).Strong experience with Cloud Infrastructure (AWS, GCP, or Azure).Proficiency in distributed systems, microservices, and API development.Hands-on experience with databases (PostgreSQL, Redis, or NoSQL alternatives).Knowledge of containerization & orchestration (Docker, Kubernetes).Familiarity with MLOps and AI model deployment (preferred but not required).Ability to thrive in a fast-paced, ambiguity-driven environment.Passion for AI, automation, and pushing the boundaries of enterprise software.Why Join Us?Ground-Floor Impact – You’ll shape the future of enterprise AI from day one.Equity & Competitive Salary – Meaningful ownership in a fast-growing AI company.Cutting-Edge Tech – Work with top engineers, AI researchers, and industry experts.Flexible & Remote Work – We believe in results, not micromanagement.Growth & Leadership – As an early hire, you’ll have the opportunity to lead, mentor, and grow within the company.Ready to build the future of Enterprise AI? 🚀 Apply now or reach out directly!",Mid-Senior level,Machine Learning Engineer
+103,2025-04-02,San Francisco,California,Asana,http://asana.com/,"Asana empowers organizations to work smarter. Asana is the only enterprise work management platform that connects company-wide goals, strategic initiatives, and the execution of work in one place. Asana has over 150,000 customers and millions of users in 200+ countries and territories. Customers like Amazon, Roche, and T-Mobile, rely on Asana to manage everything from goal setting and tracking to capacity planning, to product launches. For more information, visit www.asana.com. ","Asana is seeking an experienced and empathetic Software Engineer to join our AI Retrieval team. Working with the latest AI large language models and search technologies, you’ll work on the Retrieval Augmented Generation (RAG) system that powers Asana AI. You’ll design and implement systems that enable customers to get informative answers about their work stored in Asana, collaborating with other teams building AI features. We’re looking for an engineer who is passionate about AI, curious to learn about everything from vector search to prompt engineering, and willing to share what they learn to help their teammates grow and thrive.About The TeamAI Retrieval built and maintains Asana’s AI retrieval augmented generation system, which is foundational to Asana’s AI features. We harness a wide and growing range of technologies to retrieve data from anywhere in a customer’s Asana domain feed it into features ranging from Smart Chat to AI Studio, our workflow automation platform. Soon we’ll reach into other common SaaS tools to ensure that no matter where our customers store their data, we can give them the answers they seek.About Asana AI StudioAt Asana, we believe AI will fundamentally transform the way we work and live. We’re going beyond chatbots and integrating AI into everyday workflows for some of the biggest companies on the planet. Asana AI Studio is a no-code builder that enables teams to design and deploy AI agents directly within their workflows, automating repetitive tasks and enhancing productivity. Our AI teams move quickly, with a track record of successful launches, and we’re just getting started. If you believe in the potential of AI to make us more creative, effective, and fulfilled in our work, we'd love for you to join us.ResponsibilitiesBe a key contributor to our retrieval augmented generation platform, ensuring complex projects are delivered on-time and with high quality.Collaborate with product and design to create delightful user experiences that maintain Asana’s reputation for power and ease-of-use.Work with the leading LLM providers to leverage the latest AI technologies in order to serve our customers.Share your knowledge and experience with your teammates, fostering strong engineering practices and creating a culture of excellence.Experience growth through opportunities to stretch, learn, and shape the trajectory of AI at Asana.You might thrive in this role if you:Have 2+ years experience, working across the stack within large, well-maintained codebases.Have a track record of working with their team to scope and deliver impactful features..Are comfortable navigating ambiguity and taking on open-ended AI/product challenges.Engage with their teammates in a spirit of openness and curiosity.Find AI fascinating and are eager to use it to transform the way you work.Are an excellent communicator and cross-functional collaborator.At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.What We’ll OfferOur comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.For this role, the estimated base salary range is between $171,000 - $209,000 The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:Mental health, wellness & fitness benefitsCareer coaching & supportInclusive family building benefitsLong-term savings or retirement plansIn-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.About UsAsana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture . With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Asana upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations.",Mid-Senior level,"Software Engineer, AI Retrieval"
+104,2025-03-13,,,Hedra,http://www.hedra.com,"The next generation multimodal content creation platform, powered by Character-3 ✨
+
+careers @ https://jobs.ashbyhq.com/hedra
+","Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence.At the core of Hedra Studio is our Character-3 foundation model, the first omnimodal model in production. Character-3 jointly reasons across image, text, and audio for more intelligent video generation — it’s the next evolution of AI-driven content creation.Note: At Hedra, we’re a team of hard-working, passionate individuals seeking to fundamentally change content and build a generational company together. You should have start-up experience and be a self-starter that is driven to build impactful products that change the status quo. You must be willing to work in-person in either NYC or SF.Overview:We are looking for an ML Engineer with expertise in high-performance computing systems to manage and optimize our computational infrastructure for training and deploying our machine learning models. The ideal candidate will have experience with cloud computing platforms and tools for managing ML workloads at scale, supporting our 3DVAE and video diffusion models.Responsibilities:Design and implement scalable computing solutions for training and deploying ML models, ensuring infrastructure can handle large video datasets. Manage and optimize the performance of our computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed training. Ensure that our infrastructure can handle the resource-intensive tasks associated with training large generative models. Monitor system performance and implement improvements to maximize efficiency, using tools like Kubeflow for orchestration. Collaborate with the team to understand their computational needs and provide appropriate solutions, facilitating seamless model deployment. Qualifications:Bachelor’s degree in Computer Science, Information Technology, or a related field, with a focus on system administration. Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads. Knowledge of containerization tools like Dockerfile and orchestration tools like Kubeflow, crucial for deploying models at scale. Understanding of distributed training techniques and how to scale models across multiple GPUs or machines, aligning with video generation needs. Proficiency in scripting languages like Python or Bash for automation tasks, facilitating infrastructure management. Strong problem-solving and communication skills, given the need to collaborate with diverse teams. This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability.Benefits:Competitive compensation and equity401k (no match)Healthcare (Silver PPO Medical, Vision, Dental)Lunch and snacks at the officeWe encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team.",Entry level,Machine Learning Engineer
+105,2025-04-05,San Francisco,California,Substack,http://substack.com,"Substack is a new media app that connects you with the creators, ideas, and communities you care about most. Founded in 2017, Substack is building a new economic engine for culture by putting publishers in charge and enabling subscribers to support the work they deeply value.
+
+There are more than 5 million paid subscriptions to writers and creators across the Substack network.","OverviewAs a Machine Learning Engineer at Substack, you will play a crucial role in developing and implementing cutting-edge machine learning solutions to enhance our product offerings. You will be part of a small and dynamic team, collaborating closely with software engineers and data scientists, to bring machine learning models into our codebase and integrate them seamlessly into our products. This role offers an exciting opportunity to shape the future of our technology stack and make a significant impact.ResponsibilitiesLead Substack's thinking about ML adoption and integration of ML tools and techniquesCollaborate with cross-functional teams to identify and define machine learning opportunities that align with our product roadmapDevelop, train, and deploy machine learning models using Python and popular ML frameworksLeverage off-the-shelf ML tools and systems to accelerate Substack's ability to incorporate ML functionality into its product and workflows Integrate machine learning models and pipelines into our main TypeScript appOptimize and fine-tune ML models for performance, scalability, and efficiencyDesign and implement data pipelines for data preprocessing, feature engineering, and model trainingDeploy and own integrated product experiences and internal toolsRequirements5+ years of relevant experience with data and ML systemsStrong programming skills in Python and experience with Python libraries commonly used in machine learning (e.g. PyTorch)Solid understanding of machine learning algorithms, deep learning, and statistical modelingIndependent and autonomous. We're too small to micromanage, and expect that every person at the company owns their work and can be a leader.Hold yourself and others to a high standard when working on production systems.Enjoy collaboration with a diverse group of stakeholders while bringing your own unique experience and background to the teamNice to haveProficiency in Node.js for seamless integration of machine learning models into our codebaseFamiliarity with cloud platforms (e.g. AWS or Modal)Experience with consumer web applications at scale Substack's compensation package includes a market-competitive salary, equity, and exceptional benefits. Our cash compensation salary range for this role is $200,00-250,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.Substack is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity or transgender status), age, national origin, veteran or disability status. We're seeking people passionate about enabling independent expression and building a better business model for creators. If you want to see what media, communities, and content can become when unmoored from advertising models, and you have the skills and experience to contribute, we'd love to meet you.Please see our Privacy Notice for details regarding Substack's collection and use of personal information relating to the application and recruitment process by clicking here.",Entry level,Machine Learning Engineer
+106,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+107,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+108,2025-04-01,Palo Alto,CA,Glean,https://glean-it.com/glean,"Work AI for all. 
+
+The Work AI platform connected to all your data. Find, create, and automate anything.","About GleanWe’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work.We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. We’re a diverse team of curious and creative people who want to help each other get big things done—so we can help other teams do the same.We're backed by some of the Valley's leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.RoleGlean is looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems.What You Will Do And AchieveInvent new signals to improve the personalization of our search engineTrain a model to capture interactions between signals in our ranking systemDesign smarter ways to domain-adapt language models to each customer’s corpusDiscover new ways of combining LLMs with search engines to answer complex questionsWrite robust code that’s easy to read, maintain, and testMentor more junior engineers, or learn from battle-tested onesWho You Are2+ years of experienceBA/BS in computer science, math, sciences, or a related degreeExperience working with search, recommendation, natural language processing, or other large systems involving machine learningKey Knowledge And SkillsStrong analytical skills and ability to work with dataProven ability to design, build, and ship production-ready modelsProficiency in your ML framework of choiceStrong coding skills (Python, Go, Java, C++, ...)Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a mustA proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large featuresBenefitsCompetitive compensationMedical, Vision and Dental coverageFlexible work environment and time-off policy401kCompany eventsA home office improvement stipend when you first joinAnnual education stipendWellness stipendHealthy lunches and dinners provided dailyFor California Based ApplicantsThe standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.",Entry level,"Software Engineer, Machine Learning"
+109,2025-04-03,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTeam IntroductionOur Search Engineering Team is responsible for building and owning TikTok's search engine which can provide our users with the best search experience. In TikTok Search Team, you’ll have the opportunity to build full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. This Internship Program Runs For 12 Weeks Beginning In May/June 2025. Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.Online Assessment (Only for RD)Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.ResponsibilitiesThis internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to:Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP , CV and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility and usefulness of search results.QualificationsMinimum Qualifications: Currently pursuing a Bachelors or Masters in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Able to commit to working for 12 weeks during Summer 2025. Experience with coding in Python, Java, Golang, C#, or C++. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.Preferred Qualifications Graduating December 2025 onwards with intent to return to degree-program after the completion of the internship. Demonstrated software engineering or natural language processing, deep learning experience from previous internship, work experience, coding competitions, or publications. High levels of creativity and quick problem-solving capabilities.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $45- $45.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (search-TikTok.US)- 2025 Summer (BS/MS)
+110,2025-03-31,,,Samsung Semiconductor,https://semiconductor.samsung.com/,"Established in 1974 as a subsidiary of Samsung Electronics, we’re proud to be recognized as one of the leading chip manufacturers in the world.
+Using our knowledge in semiconductor technology, our ambition is to spark the imagination of device manufacturers with top-of-the-line building blocks and, through that, enrich the lives of people around the world with transformative solutions.","Please NoteTo provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.Advancing the World’s Technology TogetherOur technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.What You’ll Learn Project Overview: In this internship, the candidate will develop SOTA Parameter Efficient Fine Tuning (PEFT) methods and demonstrate them to work for both time series and computer vision foundation modelsSkills You’ll Learn:Algorithm development for PEFT methodsTest PEFT methods on Time series foundation modelsTest PEFT methods on Computer Vision foundation models What You’ll DoThe team (SDAL) is involved in developing Deep Learning Foundation Models and applying them in Samsung factories for problems related to anomaly detection, classification, segmentation, etc. More specifically, the interest is on two projects: (1) Large Time Series Model (LTM) and (2) Large Vision Model (LVM). The intern will be involved in both projects and will develop novel Parameter Efficient Fine Tuning (PEFT) methods, and demonstrate them to work efficiently on both projects. This will involve applying existing SOTA PEFT methods such as LoRA, SoRA, and to also improve them with novel developments.Location: Onsite at our San Jose, CA headquarters 5 days a weekReports to: Sr. Staff Machine Learning EngineerDevelop PEFT methods and demonstrate them to work efficiently in foundation modelsApply PEFT methods to Large Time Series Models (LTM) and Large Vision Models (LVM)Demonstrate these algorithms to work efficiently for anomaly detection, classification and segmentation and achieve pre-defined project KPIs. These algorithms will later be applied in Samsung’s factory in Korea and will help in improving the yield of production Collaborate with 3-4 other engineers at Samsung SSI’s San Jose, CA campus and the work will involve 5 days per week on-siteAlgorithm development using Python 3, PyTorch, CUDA, etc.Presentation and documentation of work at end of internship period (12 weeks) Complete other responsibilities as assignedWhat You BringPursuing Masters or PhD in Computer Science or Electrical Engineering preferred; other closely-related areas will also be consideredMust have at least 1 academic quarter or semester remainingGood working knowledge of Python 3 and Pytorch requiredPrior experience with training and evaluation of large Deep Learning models such as Transformers requiredPrior experience in LLMs, Vision Transformers, Time Series models or other foundation models preferredPrior publications in top-tier AI/ML conferences such as NeurIPS/CVPR/ICLR/ICML preferredYou’re inclusive, adapting your style to the situation and diverse global norms of our peopleAn avid learner, you approach challenges with curiosity and resilience, seeking data to help build understandingYou’re collaborative, building relationships, humbly offering support and openly welcoming approachesInnovative and creative, you proactively explore new ideas and adapt quickly to changeWhat We OfferThe pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training.This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.Relocation Support Live 50+ miles away from your new office? No worries! We'll provide a stipend to help support your move.Housing Stipend Signing a lease on a new place for your summer internship? We'll help you pay your way with a monthly stipend.Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are.Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.Hourly Base Pay Rate$28—$62 USDEqual Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.Recruiting Agency PolicyWe do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.Covid-19 PolicyTo help keep our employees, customers, and communities safe, we've developed guidelines for our team. Currently, we encourage vaccination for all employees and may require it depending on job functions (e.g., traveling for business, meeting with customers). While visiting our offices or attending team events, we ask employees to complete a daily health questionnaire and complete a weekly COVID test. Our COVID policies are subject to change depending on public health, regulatory, and business circumstances.Applicant Privacy Policyhttps://semiconductor.samsung.com/us/careers/privacy",Internship,"Intern, Machine Learning Engineer - PEFT"
+111,2025-04-09,Los Angeles,California,FORE Enterprise,https://www.foreenterprise.com,"FORE empowers operations leaders with data and analytics to pinpoint challenges across operations and performance. Then, align with key stakeholders by demonstrating these opportunities with objective, quantifiable reasoning. Skip the IT headache, directly to insights about your company and your competitors.
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+Unlock a goldmine of underutilized workforce data carefully formatted by FORE to drive Workforce decision making. Empower your Operations and People teams with cutting edge AI developed with experts in Operations, Data, and AI from Stanford, Wharton, and Kellogg. Go even further by integrating your organization's People data to more surgically diagnose key challenges and opportunities. Better manage your workforce with a detailed understanding of not only your own organization, but also key competitors, partners, and acquisition targets. 
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+FORE is useful for Senior Executives, as well as leaders in People, Operations, and Finance. We've found success with clients across a range of industries including Retail, Healthcare and Hospitals, Financial Services, Media, and Education.
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+Let's start with a Pilot to demonstrate the power of the platform and drive initial change on a critical subset of your operations. From there we can expand our partnership and bring the full value of FORE to your entire organization. ","Please Apply HereAbout FOREWe’re a fast-growing, venture-backed startup building cutting-edge AI solutions for Private Equity firms and their portfolio companies across Technology, Media, Fashion, and Sports. Our team moves fast, collaborates closely, and thrives on solving tough problems with real impact.What sets us apart isn’t just the tech we build—it’s how we build it. We work with the latest advancements in AI and LLMs, but more importantly, we have the experience and drive to turn them into real, production-ready solutions. We trust each other, move fast, and take ownership, creating an environment where problem-solvers can thrive, grow, and make an immediate impact. We’ve doubled in size over the past year and are just getting started—now’s the time to join us and help shape what’s next.The RoleWe are seeking a ML Engineer with experience working with synchronized multi-camera systems and training models for action recognition.If you're excited about tackling data-heavy challenges with a flexible mindset, we’d love to hear from you.ResponsibilitiesDesign and develop machine learning models to recognize and classify movements using raw video or 3D skeletal data from multi-camera systemsImplement pipelines for creating training and evaluation datasetsExtract relevant features from skeletal sequences such as joint angles and trajectoriesEvaluate and benchmark hardware camera systems for performance and integration potentialConfigure camera synchronization, calibration, and 3D reconstruction pipelinesCollaborate with internal teams to define requirements for data accuracy, latency, and usabilityRequired QualificationsExperience training models using RNNs (e.g., LSTM/GRU), CNNs, Graph Neural Networks (e.g., ST-GCN), or Transformer-based architectures for time-series or spatial-temporal dataFamiliarity with human pose estimation, motion analysis, or action recognition.Experience with deep learning frameworks such as PyTorch or TensorFlowKnowledge of data preprocessing techniques: normalization, smoothing, augmentation, time alignment.Familiarity with model evaluation metrics relevant to movement classification (e.g., accuracy, F1-score, temporal consistency)Bonus QualificationsExperience calibrating multiple cameras to map to the same 3D coordinate systemFamiliarity with open-source pose estimation libraries (e.g., OpenPose, MMPose, MediaPipe, Anipose)Academic publications regarding action recognition Location, Compensation & BenefitsLocation: We are hiring for fully remote work with quarterly on-sites in Los Angeles (travel provided).Compensation: $75k - $135k, depending on experience.Equity: Opportunity for company equity.Benefits401(k) with employer matchHealth insuranceWhy Join Us?Level Up Your Skills: Work alongside top AI and NLP talent, including researchers from Stanford and Wharton, and tackle some of the most challenging problems in the field.Make an Impact: Take ownership of high-impact projects that solve complex, real-world problems—your work won’t sit on a shelf.Impactful Work: Get hands-on experience with diverse, high-impact projects.Flexible Environment: A small, adaptable team that values problem-solving and autonomy.If you're passionate about ML engineering and want to work on technically engaging projects, apply now!Company WebsiteCompany LinkedIn",Entry level,Machine Learning Engineer
+112,2025-04-09,Dublin,California,Articul8 AI,https://www.articul8.ai,"Articul8 AI is a technology company whose products transform enterprise data and expertise into powerful engines of growth, value and impact. Our full-stack GenAI platform is revolutionizing how enterprises harness their data and expertise to build expert-level Generative AI applications for their mission-critical challenges. Our products deliver enterprise-scale impact with ROI in hours to weeks. General-purpose GenAI models, while necessary, are not sufficient to deliver enterprise-specific decisioning and actioning. Our platform addresses this gap by making it straightforward for companies to build sophisticated, enterprise-scale and expert-level GenAI applications that encode their domain expertise. Our proprietary technology does the heavy lifting through autonomous decisions and actions, automated data intelligence, improved precision and relevance with industry knowledge encoded into Articul8's library of domain and task-specific models. We are purpose-built for regulated industries and meet the highest standards of compliance, data security, privacy and performance, including traceability and auditability at every step. We are trusted by leading global enterprises like AIAA, Itochu Techno-Solutions Corporation, Uptycs, AWS, NIQ, Intel and Franklin Templeton to transform their mission-critical work.
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+We are the enterprise GenAI platform that simply works! For more information, please visit www.articul8.ai.","About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.Job Description:Artilcul8 seeking a highly motivated and talented Intern Machine Learning Engineer to join our team. As an Intern Machine Learning Engineer, you will have the opportunity to work on cutting-edge AI and machine learning projects, collaborating with our team of experienced engineers and researchers to design, develop, and deploy AI-driven solutions that solve real-world problems.Responsibilities:Design, develop, and deploy machine learning models and AI applications, with a focus on optimizing performance for production environmentsTrain, fine-tune, and optimize deep learning and large language models (LLMs) to achieve state-of-the-art resultsCollaborate with cross-functional teams, including data scientists, software engineers, and product teams, to integrate AI capabilities into applicationsEvaluate and implement new AI/ML algorithms and techniques to improve model accuracy and efficiencyWork with large-scale datasets, ensuring data quality, preprocessing, and feature engineeringOptimize models for cloud and on-prem environments, ensuring low latency and high availabilityDevelop APIs and microservices to serve AI models in productionStay up to date with the latest AI trends, research, and best practices, and apply this knowledge to improve our AI solutionsRequirements:Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, AI, Machine Learning, or a related fieldStrong programming skills in Python or PyTorchExperience with machine learning frameworks, such as TensorFlow or PyTorch, and large language models (LLMs)Familiarity with data preprocessing, feature engineering, and model evaluation techniquesExperience with cloud platforms, such as AWS, GCP, or Azure, and containerization (Docker, Kubernetes)Strong problem-solving and analytical skills, with the ability to break down complex problems into manageable componentsExcellent communication and teamwork skills, with the ability to work effectively in a collaborative environmentNice to Have:Experience with multi-cloud AI deployments and generative AIFamiliarity with distributed computing frameworks, such as Spark or RayExperience with edge AI or AI model compression (quantization, pruning)Prior experience working on AI SaaS platformsWhat We Offer:The opportunity to work on cutting-edge AI and machine learning projects with a talented team of engineers and researchersA collaborative and dynamic work environment that encourages innovation and creativityProfessional development opportunities, including training and education programs, to help you advance your skills and careerA competitive internship package, including a stipend and other benefitsProfessional Attributes:Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer:By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you.In addition to our competitive salary and benefits package, we offer a range of perks and programs designed to help you succeed, including:Professional development opportunities, including training and mentorship programs Flexible work arrangements, including remote work options Access to the latest technologies and tools Regular social events and team-building activities A supportive and inclusive work environment If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.",Internship,Intern - Machine Learning Engineer
+113,2025-03-25,New York,NY,Cadent,http://www.cadent.tv,"Cadent powers the evolution of TV brand advertising. We provide marketers, agencies, operators, and media owners with data-driven solutions for buying and selling TV advertising. By connecting brands with opportunities across national inventory sources—cable, broadcast, and digital media—our technology improves efficiencies and boosts the results of linear, addressable, and cross-screen campaigns. For more information, visit cadent.tv.","Cadent powers the evolution of TV brand advertising. We provide marketers, agencies, operators, and media owners with data-driven solutions for buying and selling TV advertising. By connecting brands with opportunities across national inventory sources—cable, broadcast, and digital media—our technology improves efficiencies and boosts the results of linear, addressable, and cross-screen campaigns. Right now, we are looking for a highly motivated Machine Learning Engineer who will be responsible for powering our Data Science department by scaling, deploying and managing advanced machine learning models. This will entail architecting and implementing big data solutions, data and model governance solutions, and implementing software development best practices. Machine Learning Engineers will collaborate directly with the Business, Product, Data Engineering, Data Science and QA team members to productize AI/ML research to drive business growth. Output from this role will be leveraged by business, engineers and by senior executives to define the future of Cadent.What you will do:Scale, Deploy, Maintain, and Monitor Advanced Machine Learning Models:Transform models provided by data scientists into production-ready products capable of running efficiently on full volume datasets. Leverage tools to automate retraining, deployment, and code quality checks. Establish, implement, and monitor business KPIs of model and infrastructure efficacy.Architect Multi-Cloud Big Data Solutions:Design and develop infrastructure to process and store data at massive scale across GCP and AWS using IaC and SDKs. Analyze and optimize resources to adhere to governance, monitoring, and compliance policies. Work closely with DevOps, CloudOps, NetOps, SRE, and FinOps to implement solutions that are secure, reliable, and cost-effective.Design Data Governance and Model Governance Solutions:Ensure transparency for operations and leadership regarding our data, processes, and models. Design and develop solutions to store, analyze, and report on key metadata for source datasets, derived datasets, and code.Drive Business Impact through Cross-Functional Collaboration:Collaborate with various teams, including software engineers, product managers, data scientists, data engineers, and several operations teams to identify and prioritize machine learning opportunities. Quantify the impact of ML models and drive engineering decisions that maximize business value and operational efficiency.Set and Enforce Development Best Practices using TDD, V&V, and CI:Collaborate with data scientists and engineers to establish standards and guidelines for quality, reliability, and performance of machine learning services. Stay updated on the latest advancements in software engineering, data engineering, ML engineering/ops, and cloud computing to ensure that Cadent keeps pace with evolving technologies. Provide guidance for Sr., mid-level, and associate MLEs on the team.What you will need:Education and Relevant Job Experience:At least 5 years of relevant experience with a M.S. in Statistics, Math, Operations Research, Physics, Finance, Economics, Engineering or similar fields, or 7 years of relevant experience with B.S. in similar fields.Multi-paradigm Programming Expertise:Extensive experience writing object-oriented, imperative, and declarative programs. Advanced proficiency in Python and SQL. Professional experience in a low-level programming language such as Rust, Golang, C++, C#, Java, or Scala is highly preferred.Cloud Infrastructure Expertise:Candidates should have extensive experience in developing and managing cloud-based solutions, particularly on AWS or GCP platforms. Hands-on experience with Terraform or Boto3 and/or Google Cloud Client Libraries for implementing infrastructure as code (IaC) is mandatory. Enthusiasm, Ownership and Curiosity:The ideal candidate is someone who independently seeks solutions to challenges, takes full responsibility for their projects, and continually explores emerging technologies, tools, and practices to stay at the forefront of technological advancements.Verification and Validation Expertise:Accuracy in data and code, along with strict adherence to specified requirements, is crucial. Candidates should be well-versed in Test-Driven Development (TDD) and verification and validation (V&V) best practices.Excellent Communication Skills:Effective communication with a diverse range of stakeholders within the data ecosystem, including product owners, data scientists, and engineers, is crucial. Candidates must be adept at distilling complex technical concepts for non-technical audiences and articulating technical requirements to colleagues across various departments.If the leading edge of media technology is the place you want to be, please contact us today and let’s start the conversation!Cadent is an Equal Opportunity Employer and is committed to supporting all it’s employees when it comes to Inclusion & Diversity. Cadent’s policy is to provide equal opportunity for applicants & employees without regard to race, color, religion, creed, gender, gender identity or expression, sexual identity or orientation, age, national origin or ancestry, citizenship, disability or medical condition (including pregnancy, childbirth, or related medical condition), sexual and reproductive health decisions, genetic information, marital status (including domestic partnerships and civil unions), pregnancy, culture ancestry, familial or caregiver status, military status, veteran status, socioeconomic status, unemployment status, status as a victim of domestic violence or any other basis prohibited by law. and will not discriminate against the basis of disability. This commitment is honored when it comes to decisions on hiring, recruiting, training, promotions, compensations, benefits, transfers and terminations.  Cadent is seeking to actively engage with our employees from a wide variety of cultures and to connect with our clients differently. Our workforce has generational diversity that supports greater innovation when we maximize representation of all diversity. Our active employee resource groups promote engagement across all groups of individuals that are represented within the company and externally",Associate,Machine Learning Engineer
+114,2025-04-01,Sunnyvale,CA,Wanderboat AI,https://www.wanderboat.ai,"Wanderboat AI builds technologies that leverage deep search and generative AI to help people reconnect with the world. Explore, plan and share, your personalized AI companion starts from here!","We're hiring MLE with Search or Feeds/Recommender system background.Job DescriptionWe're looking for engineers with a background in Machine Learning, Deep Learning and Generative AI. They will play a key role in driving algorithmic improvements to search and recommendation systems. They will develop and deliver robust and scalable solutions to continually improve our KPIs to delight our consumers.Key ResponsibilitiesImprove our search and recommendation systems by building production machine learning models.Fine-tune state-of-the-art generative models like Deepseek, Llama, Mistral, and others.Process large amounts of data with strong engineering skills.Find insights from data, be data-driven, produce actionable and trustworthy conclusions.QualificationsBachelor’s or above degree in Computer Science or Computer Engineering.Proven experience as a Machine Learning Engineer or similar role, in search, recommendation or Ads area.Experiences about applying machine learning, deep learning or GenAI technologies on search retrieval, ranking or feed/Ads ranking.In-depth practice in query parsing, content understanding, recall, relevance, ranking, RAG, etc.Experience with Elastic Search is preferable.Have knowledge of LLM fine-tuning and related experience is preferable.Understand machine learning and related algorithms, with the ability to apply technologies such as natural language processing, computer vision to solve complex and challenging problems.Strong programming skills in Python, Go or C++.Strong communication and teamwork abilities.",Entry level,Machine Learning Engineer
+115,2025-02-21,Austin,TX,Outdoorsy,https://www.outdoorsy.com/about/outdoorsy-group,"The Outdoorsy Group is a travel and hospitality company that integrates marketplace technology, insurance, and real estate to create unforgettable outdoor experiences.
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+We're on a mission to restore people's relationship with the outdoors and each other by solving foundational human problems and creating lasting memories through exceptional outdoor experiences.
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+Our lines of business include:
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+Outdoorsy.com, the world's leading outdoor travel marketplace. We connect guests with P2P RV rentals and professionalized businesses offering RVs and campgrounds. We operate globally in 14 countries, with North America as our strategic focus.
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+Our insurance company Roamly.com provides specialty insurance solutions, ensuring peace of mind. Roamly's AI-driven enterprise platform also supports other marketplaces.
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+Outdoorsy Stays owns and operates campgrounds and glamping sites in iconic locations, providing exclusive experiences and seamless integration with Outdoorsy.com.
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+","About Outdoorsy GroupOutdoorsy Group is the leading outdoor travel and digital insurance platform, powering road trips, adventure stays, and innovative insurance solutions. With a profitable business, $3B in gross transactions, and a vision to reach $8B by 2029, we are investing in AI to enhance our marketplace, operations, and customer experiences.About The RoleWe are seeking Machine Learning Engineers and Data Scientists to develop and deploy AI models that drive automation, improve decision-making, and create seamless customer experiences. This role will play a critical part in shaping the AI foundation of Outdoorsy's marketplace and Roamly's digital insurance platform and product solutions.We are prioritizing candidates who currently live in or are willing to relocate to the Austin, TX Metro area to work from our office. While we are focusing on local talent, on rare occasion we may consider exceptional candidates from other locationsRequirementsKey Responsibilities:Design, develop, and deploy machine learning models to enhance search, pricing, fraud detection, personalization, and customer support automationBuild scalable data pipelines and infrastructure to support AI applicationsWork with structured and unstructured data to develop predictive and generative AI modelsCollaborate with product managers, engineers, and business teams to integrate AI solutions into production systemsContinuously optimize models for accuracy, speed, and efficiencyStay current with the latest advancements in AI/ML and apply best practices to our business challengesWhat You Bring:5+ years of experience in machine learning, data science, or a related fieldProficiency in Python, TensorFlow, PyTorch, or other ML frameworksExperience building, training, and deploying ML models at scaleStrong understanding of data engineering, feature engineering, and MLOpsExperience working with large datasets, cloud platforms (AWS, GCP, Azure), and databasesFamiliarity with LLMs, recommendation systems, or predictive analytics is a plusWhy Outdoorsy?Opportunity to apply AI/ML in a fast-growing, profitable marketplace and insurtech businessWork on cutting-edge AI challenges in travel, mobility, and insuranceCollaborate with a passionate team in a high-impact roleCompetitive salary, equity, and benefitsJoin us and help shape the future of AI at Outdoorsy!BenefitsBenefits & Perks:Opportunity to contribute to a high-growth, mission-driven companyCompetitive salary and equity in one of the world's fastest-growing companiesComprehensive health and welfare benefits401(k) match to help secure your futureFlexible PTO to promote work-life balanceSalary: $165,000 - $185,000/yr DOE",Mid-Senior level,Machine Learning Engineer
+116,2025-01-17,San Francisco,CA,Aura Intelligence,https://www.getaura.ai/,"Aura Intelligence is a premier platform for Organizational Decision Intelligence (ODI). We empower organizations to transform fragmented workforce and competitive data into actionable insights, driving smarter, faster, and more effective decisions. By delivering real-time analysis of hiring trends, workforce dynamics, skills evolution, and competitive benchmarks, we enable consulting firms, private equity, and enterprises to optimize strategies, mitigate risks, and achieve superior outcomes.
+
+Founded within Bain & Company and now an independent powerhouse, Aura Intelligence is redefining how businesses leverage workforce analytics to thrive in a rapidly changing world.
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+Learn more at www.getaura.ai.","We are seeking a skilled Machine Learning Engineer to join our growing MLOps team. In our fast-paced startup environment, you'll work closely with our data scientists and data engineers to productionize models and build robust, scalable classification systems. You will have the autonomy to drive the evolution of our ML infrastructure—from development through deployment—and make a direct impact on our product's success.Key Responsibilities:  Develop and Optimize ML Pipelines:Write efficient, clean, and maintainable Python code to implement machine learning pipelines for various classification projects. Ensure these pipelines meet production-grade standards for performance and scalability. Production Deployment:Deploy and optimize diverse classification models—including cross-encoders, bi-encoders, transformers, and custom PyTorch networks—ensuring effective GPU/CPU resource management, memory optimization, and scalability tuning. End-to-End System Ownership:Take full responsibility for deployed ML systems, including incident response, performance monitoring, and ongoing quality maintenance with minimal supervision. Data Integration and Analysis:Collaborate with the data engineering team to analyze model inputs/outputs, validate predictions, and explore potential feature improvements using SQL. MLOps Infrastructure & CI/CD:Build and maintain robust, extensible, and reproducible MLOps infrastructure. Establish and manage CI/CD pipelines, and set up observability for system metrics, logs, and alerts. Collaboration and Continuous Improvement:Contribute to technical design discussions, help break down implementation tasks, and address technical debt as needed. Work cross-functionally with both engineering and data science teams to continuously refine our deployment processes.Day-to-Day WorkYou'll be responsible for implementing and maintaining the classification systems that form the backbone of our data platform. This includes:Translating research models into production-ready codeDeveloping and optimizing inference pipelinesManaging compute resources and scaling solutionsResponding to and resolving production incidentsCollaborating with data scientists to improve model deployment efficiencyWriting and analyzing SQL queries to monitor model inputs/outputs and validate prediction quality. We're looking for someone who can work independently and take ownership while maintaining high standards. You'll have a real impact in shaping our MLOps practices and building scalable ML systems that matter. If you're passionate about turning ML research into production-ready solutions and care about writing quality code, we'd love to hear from you.RequirementsExperience:5+ years of hands-on experience in ML engineering or related roles with a PhD. 7+ years of experience otherwiseStrong expertise in NLP methods and tools (transformers, BERT, GPT, LLM)Proven track record in entity resolution and large-scale data integration challengesExtensive production experience in MLOps (AWS, Snowflake, or similar cloud platforms)Proficiency in Python, PyTorch, TensorFlow, or equivalent ML frameworksPreferred Qualifications Technical Skills:Strong proficiency in Python and production-grade software developmentSolid understanding of GPU acceleration, resource optimization, and scalable ML inference pipelinesStrong SQL skills and experience with data warehousesFamiliarity with AWS (particularly S3) and broader cloud computing concepts DevOps & Testing:Experience setting up observability (metrics, logging, and alerting) for ML systemsProficiency with CI/CD practices and testing frameworks (pytest for unit, integration, and model evaluation testing)Knowledge of version control (Git) and best practices in documentation Problem-Solving & Communication:Excellent problem-solving skills with a proven ability to debug complex production issuesStrong communication skills to effectively collaborate with both technical and non-technical team membersExperience with containerization (e.g., Docker) and orchestration platforms (e.g., Kubernetes)Familiarity with serverless compute platforms (e.g., Modal) and workflow orchestration tools (e.g., Dagster)Knowledge of additional classification models (e.g., XGBoost, FastText) and broader data engineering conceptsUnderstanding of data versioning, experiment tracking, and model registry practicesExperience with observability platforms (e.g., Datadog) and data warehouses like SnowflakeExperience working with LLMs in production",Mid-Senior level,Machine Learning Engineer - MLOps Team
+117,2025-03-07,New York,NY,Bask Health,https://Bask.Health,"Bask, the platform for telehealth, is a compliant, everyone accessible, no-code, software to launch and scale a direct-to-consumer telehealth business. By default, we provide electronic medical records (EMR), payment processing, pharmacy fulfillment and compounding, a website builder, and a patient management system. We are the Shopify for E-Prescribing. ","Bask Health is at the forefront of the health-tech industry, providing personalized healthcare experiences through advanced, user-friendly technology. Our platform serves as a launchpad for entrepreneurs, doctors, physicians, and influencers in the DTC telehealth sector.RequirementsWe are looking for a skilled Machine Learning Engineer to become a key player on our team. The successful candidate will be passionate about crafting sophisticated machine learning models and AI-powered solutions. In this role, you'll tackle a diverse range of projects, and work closely with cross-functional teams to seamlessly integrate AI into our products and services.BenefitsBask Health is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.",Entry level,Machine Learning Engineer
+118,2025-02-27,San Francisco,CA,Storytime,http://www.storytime.land,Building the future of storytelling,"We're looking for a machine learning expert with significant experience implementing and optimizing generative models to help build and scale Storytime's synthetic media creation tools. You will be responsible for researching, implementing, and improving state-of-the-art methods in machine generation of images, video, speech, and music. You’ll work closely with Storytime’s founders to innovate new approaches to media synthesis and develop clear, achievable technical roadmaps. You'll also work with other engineers and artists at Storytime to make this inspiring technology accessible and fun to use.Preferred ExperienceDeep knowledge of and practical experience with generative models (GANs, VAEs, Transformers, etc.), especially for image/video/audio generation and manipulationFluency in Python and common deep learning software frameworks, esp. PyTorchStrong programming skills and ability to implement methods in research papers accurately and efficientlyBonus PointsMS or PhD in machine learning, computer science, or related field2+ years practical experience with state-of-the-art methods in speech synthesis (e.g, text-to-speech, voice conversion) and/or image generation (VQGAN, StyleGAN, diffusion models)Experience optimizing model inference speed and performance for deployment on compute-restrained GPUs (e.g., mobile devices)Experience developing and maintaining large-scale data-processing pipelinesFamiliarity with cloud-based compute infrastructure, esp. Google Cloud Platform",Entry level,Machine Learning Engineer
+119,2023-11-21,San Francisco,California,Kaedim,https://www.kaedim3d.com,"Kaedim's machine learning and in-house art team combine to deliver production-quality assets in minutes.
+
+Kaedim specialises in developing cutting-edge Machine Learning algorithms for transforming images into digital 3D models. Our primary focus is serving game developers, offering a 10x speedup in their 3D asset production pipelines.","Hi there! My name is Konstantina, I’m the founder of Kaedim. The inspiration for starting Kaedim came back in 2019 when I took a 3D modelling and a 3D animation course at university while studying Computer Science. I remember thinking, “How hard can it be?” The answer turned out to be: very.From trying to address my own frustration, fast forward four years later:we are helping hundreds of game, product design, and e-commerce companies accelerate their 3D asset production pipelines in their daily work.We are supporting one of the top 10 games of all times as well as the largest e-commerce platform.we are profitable since 9 months post-launchwe have raised our Series A from tier 1 Silicon Valley investorsThe problem we are working towards solving is incredibly hard, but it’s what makes our work unique and rewarding. We are building Kaedim one day at a time and looking for ambitious people to join our mission. If you're driven and ready to solve complex problems, Kaedim is the place for you!Here is how we work: GitHub link.Check out our recent demo and our website.Please Note: The salary ranges provided above are specific to San Francisco. Below are the corresponding salary ranges for other locations, based on 0-5 years of experience:London: £45k – £80kSingapore: S$80k – S$145kFor Working With Us YouMust be eager to be involved with both AI and product dev.Must have done this before, or be willing to learn fast.Must be customer driven. We think customers first and so should you.Must be driven to go above and beyond.Must be able to explain and communicate clearly.Must be able to work autonomously.Must want to work hard.Must be a strong communicator, capable of justifying decisions, proposing new ideas and explaining ML concepts to the rest of the teamResponsibilitiesComing up with solutions to hard problemsMaking proof of conceptsComing up and implementing improvements on existing ML algorithmsBringing other team members up to speedReport on key ML-related KPIsIterate based on customer feedbackNice to havesExperience with 3D modelling would be a big plus",Entry level,Machine Learning Engineer
+120,2025-03-07,Shenzhen,Guangdong,OPPO,http://www.oppo.com/en,"Founded in 2004, OPPO is one of the world's leading innovators of smart devices. With operations in over 60 countries and regions, OPPO's more than 290,000 points of sales and 1,900 official service centers share the beauty of technology with users all over the world. To forward our vision of a better future, OPPO has established ten smart manufacturing facilities around the world, as well as a global design center in London. Every day, our 40,000 employees put their heart and soul into exploring the possibilities of humanistic technology.
+OPPO is not just a device maker. We are a technology company that combines hardware with software and services. Our software range, built around the ColorOS operating system, makes devices more user-friendly and intelligent for our 500 million users worldwide. The OPPO App Market, OPPO Cloud also deliver smarter, more convenient, and better-connected services.
+Moving forward, OPPO will remain committed to our mission of ""Technology for Mankind, Kindness for the World."" We will continue to pursue innovation in the smart themes of learning, productivity, entertainment, and healthcare to meet the needs of people around the world. Constantly seeking technological breakthroughs. 
+Make your moment with OPPO.","About the Role:Join OPPO's core team to develop industrial-scale machine learning systems impacting millions of users. You'll tackle trillion-scale data challenges while balancing user experience and business monetization goals.Key Responsibilities: Business Impact through Algorithms Optimize recommendation/advertising systems using ML techniques to simultaneously enhance user engagement and revenue growth Conduct rigorous A/B testing and causal inference analysis to validate improvements  Large-Scale Feature Engineering Design and implement feature pipelines processing trillion-scale user behavior data Develop innovative feature representation methods for industrial recommender systems  Deep Learning System Optimization Architect neural network models balancing computational efficiency and predictive performance Innovate in ranking algorithms through model architecture improvements and multi-objective optimizationRequirementsMinimum Qualifications:Pursuing BS/MS in Computer Science, AI, Mathematics, or related technical field Strong understanding of ML fundamentals: bias-variance tradeoff, regularization, ensemble methods Proficiency with Python and ML frameworks (PyTorch/TensorFlow) Experience building data pipelines with SQL/Pandas/SparkPreferred Qualifications:4+ month full-time availability (priority given to candidates available for summer + fall) Hands-on experience with recommender systems through: Industry projects (ranking algorithms, CTR prediction) ML competitions (Kaggle Grandmaster preferred) Research publications (RecSys, KDD, WWW conferences) Familiarity with big data tools: Hadoop, Spark, Yarn BenefitsOPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.The US base salary range for this full-time position is $30-$60/hour. Our salary ranges are determined by role, level, and location.",Internship,2025 Machine Learning Engineer Intern
+121,2025-03-25,West Hollywood,California,Tinder,https://www.lifeattinder.com/,"You've heard of us.
+
+Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 100 billion matches, serving over 47 million users per month in 190 countries and 45+ languages -  a scale unmatched by any other app in the category.
+
+Awards? Check. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, ""It Starts with a Swipe™,"" and eight awards from Comparably, including Best Engineering Teams, Best Product & Design Teams, and Best Career Growth. Rounding out this award-winning year, Built In named us Best Place to Work in the U.S., Los Angeles, and San Francisco. Over the years, we’ve received over 50 company awards for our benefits, diversity, compensation, and career growth opportunities. And we’re proud of that.
+
+Want to know more? Check out available roles and see what your life at Tinder could be: https://www.lifeattinder.com/","Our MissionLaunched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™""Our Values One Team, One DreamWe work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own ItWe take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop LearningWe cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark SolutionsWe’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our DifferencesWe are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high—making the level of impact each engineer gets to have at Tinder enormous.Our ML team is responsible for the development of machine learning algorithms and systems for recommendations at Tinder. Recommendation algorithms directly determine potential matches on Tinder and optimize the entire ecosystem to drive critical business metrics. You'll have a unique opportunity to join a company with a global footprint while working on a team that’s small enough for you to feel the impact each day. Where you'll work: This is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA. Our ValuesOne Team, One Dream: We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission Own It: We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence Never Stop Learning: We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improvingSpark Solutions: We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences: We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our teamIn this role, you will:Apply state-of-the-art machine learning techniques, including deep learning, reinforcement learning, causal inference, and optimization, to enhance our foundational recommendation modelsLeverage your expertise to deliver highly personalized and curated recommendations tailored to our users' preferencesDevelop algorithms that optimize our complex ecosystem to meet multiple disparate objectivesDesign and implement cutting-edge machine learning algorithms using deep learning frameworks and distributed data processing frameworks such as SparkWork with big data (handling 1.6B+ user swipes per day) to improve the accuracy and relevance of recommendationsCollaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectivesYou’ll need:5+ years of professional experience in relevant fieldsHands-on experience in designing and building large-scale recommendation systemsIn-depth knowledge of deep neural networks, particularly in the recommendations domainProficiency in deep learning frameworks such as TensorFlow, Keras, etc.Proficiency in Python, Java, Scala, or similar programming languagesPhD or MS in machine learning, computer science, statistics, or another highly quantitative fieldNice to have: Experience with causal inference and reinforcement learningExperience with solving machine learning problems in multi-sided marketplacesExperience with big data frameworks such as SparkDemonstrable experience in designing and implementing large-scale ML systems with low latency servingA strong record of publications in top conferences such as NeurIPS, ICML, and KDDA deep understanding of the scientific theory behind machine learning techniquesAs a full-time employee, you’ll enjoy:Unlimited PTO (with no waiting period), 10 annual Wellness DaysTime off to volunteer and charitable donations matched up to $15,000 annually Comprehensive health, vision, and dental coverage100% 401(k) employer match up to 10% Employee Stock Purchase Plan (ESPP)100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocationInvestment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional developmentInvestment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidyFree subscription to Tinder GoldCommitment to InclusionAt Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/deiIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.#TinderThe salary range for this position is $205,000 - $260,000.  Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.",Mid-Senior level,"Sr. Software Engineer, Machine Learning"
+122,2025-04-07,Brooklyn,NY,Etsy,http://www.etsy.com,"Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. Etsy Inc. employees – whether a team member of Etsy, Reverb, or Depop – tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
+
+Founded in 2005, Etsy is headquartered in Brooklyn, NY with additional offices in Dublin and Mexico City. As of December 31, 2023, our marketplaces connect 9 million active sellers – including 7 million on Etsy.com, 80% of whom are women – and 96 million active buyers in nearly every country in the world. In 2023, we facilitated over $13 billion in transactions.","Company DescriptionEtsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.Salary Range$153,000.00 - $199,000.00What’s the role?Etsy is hiring a Machine Learning Engineer to join the Inventory team. Our team develops custom machine-learning models that can drive product vision and customer impact. We’re a cross-functional group of engineers, machine learning scientists, and product managers, and we interface with a diverse set of staff, ranging from data scientists, designers, product facing engineers, managers, and more! As an engineer on our team, you will play a major role in improving the shopping experience for millions of Etsy buyers and the selling experience for millions of etsy sellers. We are looking for individuals who are product and delivery-driven, and are passionate about using modern ML solutions to improve our understanding of Etsy’s diverse inventory to improve Etsy for both buyers and sellers.This is a fantastic opportunity for someone interested in building state-of-the-art ML systems for a two-sided marketplace with 90+ million buyers, 6+ million sellers, and hundreds of millions of unique, handmade, vintage listings.This is a full-time position reporting to the Engineering Manager, Inventory. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here.What’s this team like at Etsy?Here’s a taste of the problems we’re solving:Inventory UnderstandingWhat are some measurable, scalable, and meaningful proxies for quality?How can we better categorize and tag items to enhance discoverability?How do we measure the uniqueness of our sellers' one-of-a-kind items?How can we understand the level of effort a seller puts into creating their unique products?What role does pricing play in the perceived quality of listings?Etsy Product ExperienceHow can we help our sellers improve their listings, including titles, descriptions, and images?How can we use reviews to quickly identify when product issues arise?How can we enhance the onboarding process for new sellers regarding listing best practices?How can we integrate this new understanding into delivering meaningful improvements to our product experience?What does the day-to-day look like?Collaborate with engineering teams to share ideas and discuss model capabilities with product managers.Implement the latest advancements in machine learning to enhance buyer and seller experiences on Etsy.Develop, optimize, and deploy large-scale machine learning models to achieve key outcomes.Run A/B tests to evaluate the effectiveness of machine learning powered products.Partner with product managers, ML engineers, full-stack engineers, and designers to deliver content to millions of users.This is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.Qualities that will help you thrive in this role are:You collaborate and communicate effectively with teammates and cross-functional partners.You have a proven track record of using machine learning techniques to solve real-world problems, including expertise in fields such as natural language processing, image processing, reinforcement learning, deep learning, multi-modal learning, or large language models.You quickly learn new technologies and strategically integrate them into existing workflows, while also being proficient in databases, SQL, and scripting languages.You have experience in training, deploying, monitoring, debugging, and iterating on production machine learning systems, demonstrating your ability to apply statistical techniques to real-world challenges.You have successfully taken projects from design to delivery, both independently and as part of a team, and you produce clear, testable, and maintainable code.You are mindful of the impact your work has on end users.Additional InformationWhat's NextIf you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.Our PromiseAt Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.",Mid-Senior level,"Machine Learning Engineer II, Inventory"
+123,2025-04-01,Redmond,Washington,Microsoft,https://news.microsoft.com/,"Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. 
+
+Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.","Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.As a Software Engineer on AI and/or ML projects you will develop software, tools, and code to be used in support of design, infrastructure, and technology platforms including large and small language models (LLMs/SLMs). This opportunity will allow you to create and implement extensible and maintainable code and prompts for a product, service, or feature. You will partner with stakeholders to determine user requirements for a feature and consider a variety of feedback channels to incorporate insights into future designs or solution fixes. You will collaborate with others to create a clear and articulated plan for testing, assuring quality of solutions, while applying knowledge of debugging tools, logs, telemetry, and other methods to proactively flag issues. This opportunity will allow you to learn about customer scaling requirements and the application of best practices for meeting scaling needs and performance expectations, while ensuring the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. You will also consider the impact of AI technology, including applying Microsoft’s responsible AI practices.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.Please note this application is only for roles based in our Redmond, Washington office and/or roles that are not tied to a specific Microsoft office location. For roles in other offices in the United States, please see our Careers site. ResponsibilitiesLearns to review and break down work items into tasks with stakeholder collaboration, provide estimations, and escalate delays, while also supporting feature deployments to customers, considering user and service impacts, and adhering to best deployment practices for safety.Collaborates with key stakeholders to define feature requirements, integrates feedback to enhance design, and establishes feedback loops for continuous improvement based on customer metrics.Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions. Specifies or implements AI platform improvements like fine-tuning or training custom ML models.Learns and applies coding standards and best practices through code reviews, developing maintainable and extensible code with guidance. Utilizes debugging tools to proactively and reactively address issues in product features, ensuring code quality and reliability.Supports the identification of dependencies and design documentation for product features, learns about system interactions and back-end dependencies, and contributes to architectural processes under guidance. Produces code to test hypotheses for technical solutions and assist with technical validation efforts. Collaborates on quality assurance plans, augments test cases, and integrates automation into testing, while understanding the implications of security and compliance in system architecture.Contributes to data analysis and feedback integration for product engineering decisions, acting as a Designated Responsible Individual (DRI) for monitoring and restoring system functionality within Service Level Agreement (SLA) timeframe. Participates in live service operations, and supports telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety.Develops and applies best practices for reliable code building, understands global and local regulations, customer scaling requirements, and support communication with key partners across Microsoft for user experience enhancement and partner needs.Ensures compliance with security, privacy, safety, and accessibility standards, leverages developer tools for code creation and debugging, contributes to automation in production and deployment, and proactively seeks knowledge to improve product availability, reliability, efficiency, and performance at scale.Understands and applies Microsoft’s responsible AI practices to ensure systems meet our commitments to our customers.QualificationsRequired QualificationsBachelor's Degree (or currently pursuing a degree) in Computer Science or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.OR equivalent experience. Preferred QualificationsBachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.OR Master's Degree (or currently pursuing a degree) in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.Demonstrated interest in AI/ML technologies. Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $81,900 - $160,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $105,600 - $174,600 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay.Microsoft will accept applications and process offers for these roles on an ongoing basis.Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.",Not Applicable,"Software Engineer - AI/ML, Multiple Locations"
+124,2025-04-05,San Francisco,CA,Lightfield,http://www.lightfield.app,A new kind of CRM.,"About LightfieldLightfield is a new kind of CRM.It's a collaborative system for founders to find, understand, and serve customers faster than anything before it.It captures every customer interaction, generates and performs followup actions, and answers questions about your go-to-market using knowledge obtained in real time.Our system is tuned and customized by a team of experienced sellers, engineers, and researchers. Many of us worked on large-scale products including Llama, Messenger, Instagram, Pinterest, and Linkedin before this.Lightfield.appAbout The RoleLightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers.Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMs.We’re inspired by the challenge of creating innovative new AI products for people doing serious work, and we’re looking to grow our AI/ML team to meet that challenge.What You'll DoCreate and ship magical, highly-differentiated AI experiences that sales teams are eager to useCraft Lightfield's AI/ML strategy in tight collaboration with founders and execsIdentify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutionsPrototype innovative, LLM-powered experiences, and drive their development into robust product featuresHelp build a world class AI/ML engineering team by recruiting and mentoring teammatesWho You AreYou have a BS or MS degree in CS, AI, or applied mathYou have 5+ years of experience building AI/ML based products in NLP domainsYou have a strong understanding of deep learning AI/ML frameworks or cloud servicesYou have hands-on ML Ops experienceBonus PointsExperience leading AI/ML product initiativesPublications in applied AI/ML scientific journalsExperience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)Compensation Range: $180K - $270K",Entry level,Machine Learning Engineer
+125,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOur team is responsible for developing next-generation chatbot and machine translation solutions to improve the TikTok Shopping experience across the world. We are currently looking for talented engineers that have a deep understanding of natural language processing and machine learning, especially ones with solid skills and experience of large language models, machine translation, and conversational AI.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities You will be responsible for developing and optimizing the intelligent customer service of TikTok shopping. This role will work closely with our product and operation teams to understand the intentions of our users, design solutions of experience excellence, and convey these solutions to our users conversationally, with the support of cutting-edge LLMs technology. You will have the chance to develop NLP models (like text classification, machine reading, summarization) and prediction models (like question prediction and chatbot action prediction) to achieve the above goals. You will be responsible for developing and optimizing the machine translation service of TikTok shopping to better support cross-region product listing, buyer-seller communication, and commenting. You will have the chance to develop machine translation models for the conversational environment and text generation models from multi-modality inputs. You will be responsible for developing and optimizing the multi-modal AIGC model for product copywriting, including product title, selling points, description and live broadcast script creation etc. You will have the chance to apply cutting edge AIGC models to save human effort and improve business performance.About The JobResponsible for the NLP-related research and development, mainly including: Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model. Building the prediction model by mapping the shopping journey of our users to chatbot actions, including suggesting common question-answers and transferring the user to human agent, with cutting-edge prediction models (like Boosting, deep CTR). Building the generation model by understanding business requests, exploring proper instructions, developing high-quality data, and finetuning a language model of billions of parameters (e.g., 13B, 60B). Working closely with our product and operation teams to quantitatively understand the impact of our chatbot and continuously bridge the business improvement action to model optimization action.QualificationsMinimum QualificationsCurrently pursuing a master's degree with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines. Large language models, natural language generation, machine translation, question answering, machine reading, information extraction, text mining and classification etc. Work experience in e-commerce or the Internet industry is preferred. Practical experience in NLP (dialogue system, machine translation, nlp-related projects in IR/Ads system, etc.) are preferred. Familiar with at least one computer programming language, including but not limited to go/python/Java. Experience of big data development, including but not limited to hive, spark Candidates who have published high-quality papers are preferred, including but not limited to ACL, EMNLP, COLING, AAAI, IEEE TASLP, etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $112200 - $147000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI) - 2025 Start (MS)
+126,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users. We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTokInternships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 or August/September 2025 (Select May if Summer or August if FallPlease state your availability clearly in your resume (Start date, End date).Summer Start Dates:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23Fall Start Dates:Monday, August 11Monday, August 25Monday, September 8Monday, September 22Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms; Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok; Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently; Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety.QualificationsMinimum Qualifications: Currently pursuing a BS/MS degree in Computer Science, related technical field or equivalent industrial research experience; Experience in one of the following fields: recommendation systems, online advertising, information retrieval, natural language processing, computer vision, machine learning, large-scale data mining, or related fields preferred; Familiar with at least one of the mainstream deep learning frameworks, such as TensorFlow or PyTorch; Passionate about solving complex and challenging problems; Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $60- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (E-commerce-Recommendation) - 2025 Summer/Fall (BS/MS)
+127,2024-08-25,北京市海淀区,北京,Happy Elements,http://www.happyelements.com/,"Happy Elements is a company concentrating on the development and operation of mobile online games, advertising platform, and the original IP, which includes the providing of original IP-based performances, music, animations, derivative products, and IP licensing services as well.
+The company has launched Anipop, Happy Fish, Summer Pop, Tsum Tsum, Ensemble Stars!, Ensemble Stars!! Music, Merc Storia, and other popular games. It has also created the original IP including Ensemble Stars, Anipop Club, etc. Among all these products, Anipop is listed as one of the most popular leisure games in China, while the series of Ensemble Stars is remarked as the most successful male virtual idol game in Japan.
+Besides, Happy Elements has also developed an independent advertising platform, Sigmob, to provide advertising operation and monetization solutions to the mobile content developers.
+With 1,100 staff at offices and research institutions located in Beijing, Shanghai, Shenzhen, Tokyo, Kyoto and San Francisco, this Beijing-based company continues to attract outstanding talents all over the world. Devoted to conveying its products and happiness to every corner of the world, the company aims to “create better cultural entertainments, and convey happiness and joy to more people”.","Full-timeResponsibilitiesBuild, maintain, and improve efficient and reliable data mining and machine learning models.Design, implement and tune machine learning models, and provide performance feedback.Work closely with data engineers to adapt and improve data pipelines for production models.Work closely with software engineers in putting models into production (interface, SLA, scalability).QualificationsStrong academic background required. MS in Computer Science or Machine Learning with 2+ years of industry experience or PhD in related field with 1+ years of industry experience required.Expert in Python, and computation graph toolkits (e.g., Scikit-learn, Tensorflow). Solid experience with Python packages such as Numpy, Panda, and Scikit-learn. Expert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models. Master with SQL or other relational database.Master in building and productionizing end-to-end machine learning systems. Knowledge and experience in cloud computing is a plus. Extensive data modeling and data architecture skills.Advanced math skills (linear algebra, Bayesian statistics, group theory). Ability to consistently exercise independent discretion and judgment on significant matters.Strong analytical, problem-solving and communication skills. Ability to work in a team environment",Entry level,Machine Learning Engineer
+128,2025-04-02,London,,hackajob,https://www.hackajob.com,"The AI driven tech hiring platform loved and trusted by leading tech employers and 900,000+ tech professionals worldwide.
+
+Smart, flexible AI instantly identifies highly relevant, high-intent tech talent based on real skills, experience, and preferences. Not just keywords.
+
+No ghosting. No noise. No irrelevant outreach.
+
+Tech professionals across Software Engineering, Data, DevOps, and 200+ other disciplines create a single profile to get matched with jobs they care about. 
+
+The best part? 
+Job seekers are in control, privately accepting or declining opportunities from companies that might not have found them otherwise.
+
+The result?
+Faster connections, higher-quality matches, and 76% of interview requests accepted by candidates within 24 hours.
+
+That’s what we call enjoyable tech hiring 🤝","hackajob has partnered with a disruptive automotive business that puts innovation at the heart of its new digital products and works with an unrivaled amount of automotive consumer data.Role: Senior Data ScientistLocation: RemoteQualifications and requirements4+ years of experience in the following areas:Python and other languages appropriate for large scale analysis of numerical and textual dataData mining, machine learning, statistical modeling tools and underlying algorithmsData Lake and cloud computing fundamentals, Relational databases, SQLDeliver model suite to optimize marketing investments and drive improvements to conversionDevelop customized Media Mix Model to understand Marketing impact and optimize budget allocationModel site visitor value to improve targeting and maximize return of paid digital channelshackajob is a recruitment platform that will match you with relevant roles based on your preferences and in order to be matched with the roles you need to create an account with us.*This role requires you to be based in the US*",Mid-Senior level,Data Scientist
+129,2025-03-25,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you excited about building high-performance robotic systems that can perceive, learn, and act intelligently? The Vulcan team is creating premier robotic workcells.We are seeking software engineers to help with our initial robotic prototypes and workcell deployments. This includes building computer vision systems, ML and AI models, robotic control and motion planning, and process management. It also includes end-to-end ownership of decision explanation, fault detection, monitoring, A/B testing, large scale model training, simulation, hardware integration, and more. This work spans prototypes in the lab as well as wide-deployment systems. As a software engineer, you will help plan the roadmap, implement, test, and monitor services in our robotic fleet. You will also have the opportunity to learn and be a part of an interdisciplinary team building all parts of the robot hardware and software stack.Key job responsibilities Design and test Machine Learning pipelines for vision systems on robotic platforms. Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap. Work with stakeholders across , science, and operations teams to iterate on design and implementation. Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement. Work directly with customers and partners to test prototypes and incorporate feedback Mentor other engineer team members.A day in the lifeAmazon offers a full range of benefits for you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About The TeamProgram details - https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problemBasic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Experience in machine learning, data mining, information retrieval, statistics or natural language processingPreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Have deployed, tested and optimized machine learning data curation pipelines, worked on ML Ops, data storage and metrics systems.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2923854",Not Applicable,"ML Software Engineer, Robotics AI"
+130,2025-01-08,San Francisco,California,TurbineOne,http://www.turbineone.com,"TurbineOne delivers do-it-yourself Artificial Intelligence & Machine Learning (AI/ML). TurbineOne’s Frontline Perception System (FPS) allows users to build, tune, and deploy computer-powered recognition algorithms without having to code and without requiring a cloud. The FPS is applicable to organizations that are overwhelmed with vast quantities of data from different sensors and need to empower analysts to quickly find what’s important.","ABOUT THE JOBCompany Intro: TurbineOne is the frontline perception company. We deliver decision advantage, better situational awareness, and stronger force protection. Our customers love how we automate the right portions of the military intelligence cycle while keeping them in the loop. The company is a small, fast-moving, and high-performance startup that is backed by the best DefenseTech venture capitalists.Job Title: Machine Learning EngineerReporting to the Machine Learning team lead Geographically flexible for home-office Primary Responsibilities:Designing and developing machine learning systems and infrastructure for training and inference at the edgeMaintain and update the APIs between products and ML features to enable rapid iteration and adoption of new functionalityShipping production grade machine learning features to TurbineOne's Front Line Perception systemBuilding and integrating new data models and user interfaces for gathering user data to enable to new ML-based product solutionsCreating and maintaining reusable functional blocks for machine learning models, such as data loading, inference batching, etc.Productionizing machine learning prototypes, papers and state-of-the-art architectures to solve product problemsMaintain and improve existing TurbineOne machine learning frameworks and librariesDeveloping automation tools for building, testing, packaging and deploying machine learning components and featuresOn a Typical Day You Would:Add/update Vue3 components, GraphQL APIs and database models to gather information from the user, or display model output to the user.Extract re-usable components from multiple models and refactor the machine learning codebase to improve velocity and maintainability.Spend time reading and understanding a paper and codebase describing a state-of-the-art solution to a given product problem and integrate the solution into the Frontline Perception System for user testing.Desired Experience:High standard of ethics, grit, integrity and moral character7+ years of full stack work experienceAbility and confidence to learn what's required to add functionality to the product, from the ML stack to the front end.College degree/certifications in Computer Science or similar fieldDeep curiosity about customer problems and technical solutionsPositive and solution-oriented mindsetExperience in a production software development environment (version control, automated testing, build tools)Knowledge of deep learning algorithm development and experience with ML experimentationExperience with all or some of TensorFlow, PyTorch and Jax.Willingness to embrace the Startup Culture of moving fast, being insatiably curious, celebrating often, embracing uncertainty, and having a personal desire to improve other peoples' livesStartup Culture Expectations:We're a small, fully remote team and everything is our responsibility.Our team thrives on autonomy, trust and solid communication.Everyone on the Team needs to be very comfortable with constant change, moving fast, sharing failures, embracing grit, and building things themselves.Eligibility:Must be eligible to obtain a clearance with the U.S. government",Entry level,Machine Learning Engineer
+131,2025-03-20,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Machine Learning Engineer - RAGThis role involves building the next-gen Retrieval-Augmented Generation (RAG) by demonstrating sophisticated generative AI services, pipelines, and components to drive the development and delivery of Agentforce. You will work on and ship impactful generative AI platforms, applications, and products used by millions of people every day.The RoleYou will play a critical role in integrating artificial intelligence and generative AI into sophisticated RAG technologies, enterprise Knowledge Graphs, and the latest LLM algorithms and technologies to build the next wave of intelligent agents. You will participate in the end-to-end AI product development lifecycle, designing and developing scalable deep learning and generative AI systems and services. You will collaborate with AI Platform Engineers and Software Engineers to define requirements and develop reusable workflows and ML pipelines.What You’ll Do: Design and deliver scalable RAG services that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production. Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring, and root cause analysis. Participate in periodic on-call rotations and be available to resolve critical issues. Collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production. Engage in fun-spirited yet thought-provoking conversations with your team around fun topics, such as: Should the popularity of penguins influence conservation efforts? Is creativity more like a neural network or a heuristic algorithm? How would society evolve if humans communicated through colors as well as words? Brainstorm with Product Managers, Designers, and Engineers to conceptualize and build new features for our large (and growing!) user base. Produce high-quality results by leading or collaborating heavily to large multi-functional projects that have a significant impact on the business. Help other engineers actively own features or systems and define their long-term health, while also improving the health of surrounding systems. Assist our skilled support team and operations team in triaging and resolving production issues. Mentor other engineers and deeply review code. Improve engineering standards, tooling, and processes.Required Skills: 10+ years of proven experience in ML engineering, building AI systems and/or services. Strong proficiency in NLP and machine learning models. Experience with LLMs and prompt engineering. Proven experience building and applying machine learning models to business applications. Proven track record to innovate and deliver results at scale. Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks, such as Kafka, Spark, Docker, and Hadoop. Proven understanding of deep learning and machine learning algorithms. Grit, drive, and a strong sense of ownership, coupled with teamwork and leadership skills. Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala, or Java. Built with common ML frameworks like PyTorch, TensorFlow, Keras, XGBoost, or Scikit-learn. Experience building batch data processing pipelines with tools like Apache Spark, SQL, Hadoop, EMR, MapReduce, Airflow, Dagster, or Luigi. An analytical and data-driven approach, and know how to measure success with complicated ML/AI products. Led technical architecture discussions and helped drive technical decisions within the team. The ability to write understandable, testable code with an eye towards maintainability. Strong communication skills and you are capable of explaining sophisticated technical concepts to designers, support, and other specialists. Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval. A bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or you have equivalent training, fellowship, or work experience.Preferred Skills: Expertise in retrieval systems and search algorithms. Familiarity with vector databases and embeddings. Strong background in a wide range of ML approaches, from Artificial Neural Networks to Bayesian methods. Experience with conversational AI. Excellent problem-solving skills; the ability to take on problems the world has yet to solve. Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams. Knowledge of using multiple data types in RAG solutions including structured, unstructured, and graph.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at  www.equality.com  and explore our company benefits at  www.salesforcebenefits.com . Salesforce  is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce  does not accept unsolicited headhunter and agency resumes. Salesforce  will not pay any third-party agency or company that does not have a signed agreement with Salesforce .Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $172,000 to $384,100.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Machine Learning Engineer, RAG"
+132,2025-01-24,San Francisco,CALIFORNIA,OSARO,http://www.osaro.com,"OSARO delivers best-in-class robotic piece-picking solutions for e-commerce where key challenges include high SKU inventories, complex packaging, and fragile items. In the rapidly evolving world of logistics technology, OSARO offers smarter automation, low-risk business plans, and its signature Hypercare support from exploration to installation. OSARO’s intelligent robots enable goods-to-robot (G2R) use cases, where the greatest gains are yet to be made on the automated warehouse floor. Its AI-driven, machine-learning vision and control software provides the foundation for all its products. 
+
+OSARO employs a diverse & talented team of experts in the specialized field of machine and deep learning. Our core values are integrity, responsibility, focus on continuous learning, speed and determination, and kirei, a Japanese term meaning brilliant. Our team is dedicated to building these core values into our products.","We are searching for a Machine Learning Engineer to help us build upon the intelligence and capabilities of our robots and the machine learning systems that power them. Our products combine state-of-the-art perception algorithms and adaptive decision-making abilities with sophisticated control algorithms to endow industrial robots with the autonomy needed to perform efficiently at scale in several industrial applications.As a Machine Learning Engineer, you will work closely with our robotics, deployment, and sales teams to identify customer needs and conceptualize and build out machine learning solutions to those needs. You will also be responsible for monitoring, training, and validating performance of our deep learning models. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. Our ideal candidates are those who care deeply about their team and demonstrate both directness and integrity.Examples of the work you will be doingBuilding product features, data pipelines, and tooling for visualizing and understanding machine learning modelsCreating and adapting SOTA model architectures in Tensorflow or PyTorch to solve unique, high-value problemsApplying best practices in data science to help the team draw actionable conclusions from our data and performance resultsWorking with our machine learning team to automate, manage, and validate our data collection pipelines and processesCollecting, organizing, and presenting performance results to stakeholdersTechnologies you will work withPythonRustGoogle Cloud Platform (BigQuery, Cloud Spanner, & Cloud Storage)AirflowKubernetesTerraformgRPCTensorflowCI/CDQualificationsB.S. or higher degree in computer science or related engineering fieldExcellent Python programming skillsExperience with Tensorflow or a similar deep learning frameworkKnowledge of key concepts in machine learning (particularly deep learning) and data science Familiarity with big data and databases (BigQuery)Strong ethic of self-reliance and the initiative to take ownership of projectsStrong communication skillsAbility to determine reasonable timelines and deliver results accordinglyLegal authorization to work in the U.S. is requiredNice to havesStrong theoretical knowledge and practical experience with classical machine learning and deep learning techniquesExperience with 3D scene understanding and object detection/segmentation from visionExperience with robotic manipulation hardware: arms, 3D cameras, force sensorsExperience working independently on large, shared code bases and infrastructureExperience with big data processing tools: Spark/Hive/BigQuery etcMore About OSAROOSARO is a San Francisco-based startup company applying deep learning technology to next-generation robotics applications. Some of Silicon Valley’s leading investors, including Peter Thiel, Jerry Yang, and Scott Banister have backed OSARO. Our vision is to build brains for robots on an industrial scale and we are excited and driven to see the results of our efforts operating in and interacting with the real world. We implement state-of-the-art techniques but constantly strive to build the simplest possible solution. OSARO is technique agnostic and always focused on the goal. We regularly review academic literature and techniques while steering clear of the hype. We’re focused on delighting our customers with systems that work like magic.We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which match well with the global nature of our business. We are naturally curious, love healthy debate, and respect varying points of view. At OSARO, we strive to be champions for equality. We believe we can serve as a model for diversity in the tech industry by emphasizing policies of nondiscrimination and inclusion at every step.We are an equal opportunity employer who offersHealth, dental, vision, and commuter benefits & stipendCatered lunches in a dog friendly office, phone and learning stipendGenerous vacation timeExcellent paid parental leave policy with the option for additional reduced and unpaid leaveThe above full-time position is available immediately. You should be willing to move to the SF Bay Area and physically be in the office. This is not a remote position.Actual compensation is based on various factors, including but not limited to job-related skills, and experience.",Not Applicable,Machine Learning Engineer
+133,2025-03-30,Palo Alto,California,Arc Institute,http://www.arcinstitute.org,"Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development.
+
+Headquartered in Palo Alto, California, Arc is a non-profit organization founded on the belief that many important research programs will be enabled by new academic models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.
+
+As individuals, Arc researchers collaborate across diverse disciplines to study complex diseases, including cancer, neurodegeneration, and immune dysfunction. As an organization, Arc strives to enable long-term research agendas by betting on people rather than projects, and making it easier to invent and deploy new technologies at scale.
+
+Together, our mission is to accelerate scientific progress, understand the root causes of disease, and narrow the gap between discoveries and impact on patients.","About Arc InstituteThe Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:Funding: Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators. Support: Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.Arc scaled to nearly 100 people in its first year. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly to several hundred in the coming years. About the positionWe are searching for an experienced and collaborative machine learning research engineer focused on building biological foundation models. This role will contribute to the development and application of Arc’s frontier DNA foundation model (Evo), Arc’s Virtual Cell Initiative focusing on developing cell biological models capable of predicting the impact of perturbations and stimuli, and other projects in the context of Institute-wide machine learning efforts.About you- You are an innovative machine learning engineer with experience in training and evaluating large deep learning models.- You are excited about working closely with a multidisciplinary team of computational and experimental biologists at Arc to achieve breakthrough capabilities in biological prediction and design tasks.- You are a strong communicator, capable of translating complex technical concepts to researchers outside of your domain.- You are a continuous learner and are enthusiastic about developing and evaluating a model that impacts many biological disciplines.In this position, you will- Contribute to optimization and scaling of state-of-the-art foundation models developed in collaboration with other ML researchers and scientists at Arc with the goal of understanding and designing complex biological systems.- Engineer large-scale distributed model pretraining and pipelines for efficient model inference. Enable robust systematic evaluation of trained models.- Stay up-to-date with the latest advancements in technologies for large-scale sequence modeling and alignment, and implement the most promising strategies to ensure the underlying models remain state-of-the-art.- Work with experimental biologists to ensure that the developed models are grounded in biologically meaningful problems and evaluations.- Publish findings through journal publications, white papers, and presentations (both internal to Arc and external).- Foster internal and external collaborations centered on generative design of biological systems at Arc Institute.- Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others.Job Requirements- B.S, MS or PhD in Computer Science, Machine Learning or a related field.- Minimum of 5-8+ years of relevant experience in machine learning research or ML engineering in an academic (e.g., PhD) or industry research lab.- Well-versed in machine learning frameworks such as PyTorch or JAX.  - Experience with developing distributed training tools such as FSDP, DeepSpeed, or Megatron-LM.- Excellent communication skills, both written and verbal, with a strong track record of presentations and publications.- Ability to communicate and collaborate successfully with biologists and software/infrastructure engineers.- Motivated to work in a fast-paced, ambitious, multi-disciplinary, and highly collaborative research environment.The base salary range for this position is $168,000-$242,500. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.",Entry level,Machine Learning Engineer
+134,2025-04-09,Cambridge,MA,Kensho Technologies,https://www.kensho.com,"Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction. With engineers comprising over 75% of our ~100-person team, Kensho is an engineering-driven culture, laser focused on building products that solve our customers’ complex problems. Kensho is headquartered in Cambridge, Massachusetts. ","Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and more.Kensho is looking for ML Engineer interns to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Extract. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production.Are you looking to leverage your teammates' diverse perspectives to solve hard problems? If so, we would love to help you excel here at Kensho. You will be working on a team with experienced engineers and have an opportunity to learn and grow. We take pride in our team-based, tightly-knit startup Kenshin community that provides our employees with a collaborative, communicative environment that allows us to tackle the biggest challenges in data. In addition, as an intern you will have the opportunity to attend technical and non-technical discussions as well as company wide social events.We value in-person collaboration, therefore interns are required to work out of the Cambridge HQ or our New York City office!Technologies & Tools We UseAgentic systems: Agentic Orchestration, Information Retrieval, LLM code generation, LLM tool utilization, Multi-modal Embeddings, Multi-turn Conversationality, Textual RAG systemsCore ML/AI: DGL, GNNs, HuggingFace, LightGBM, NVIDIA NeMo, PyTorch, SKLearn, Transformers, XGBoostData Exploration and Visualization: Jupyter, Matplotlib, Pandas, Weights & BiasesData Management and Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, Qdrant, S3, SQLiteDeployment & MLOps: Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, Kubernetes, Ray, vLLM, WhyLabsWhat You’ll DoAssist in conducting original work on large proprietary unstructured data and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value.Design, build, and maintain scalable production-ready ML systemsParticipate in the ML model lifecycle, from problem framing to training, deployment, and monitoring in productionPartner with our ML Operations team to deliver solutions for automating the ML model lifecycle, from technical design to implementationWork in a cross-functional team of ML Engineers, Product Managers, Designers, Backend & Frontend Engineers who are passionate about delivering exceptional productsWhat We Look ForOutstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine LearningExperience with advanced machine learning methodsStatistical knowledge, intuition, and experience modeling real dataExpertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)Demonstrated effective coding, documentation, and communication habitsStrong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.Job ID: 307256Posted On: 2024-12-20Location: Cambridge, Massachusetts, United States",Internship,Machine Learning Engineer - Summer Intern 2025
+135,2025-03-20,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.Our Perception team builds the system that ""sees"" the world around the self-driving car. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop complex models and techniques at scale.In this hybrid role, you will report to a Technical Lead Manager.You WillApply machine learning techniques to build multi-modal sensor fusion architectures including object detection and tracking, segmentation, road understanding, flow estimation and future prediction.Design large-scale foundation models trained on our vast dataCreate foundation scale data sets to enable self supervised learning and distillationDevelop data mining, labeling, training and evaluation pipelines to help the Waymo DriverYou HaveBachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience3+ years experience in Computer Vision and/or Machine LearningExperience with PythonWe PreferMS or PhD Degree in Computer Science, Robotics or a similar disciplinePublications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, or PAMIExperience with C++The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$170,000—$216,000 USD",Entry level,"Software Engineer, Machine Learning/Computer Vision"
+136,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+137,2025-03-24,London,,PhysicsX,https://www.physicsx.ai/,"PhysicsX is a deeptech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. 
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+We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
+ 
+We are currently recruiting for multiple positions, however, please only apply for the role that best aligns with your skillset and career goals.","PhysicsX is a deep-tech company of scientists and engineers building next-generation machine learning tools to supercharge physics simulations and redefine what’s possible in design and engineering.Our technology stems from a foundation in numerical physics and high-performance motorsport, and today powers breakthroughs across Aerospace, Automotive, Semiconductors, Energy, and Advanced Manufacturing. By fusing AI with physics, we help leading innovators compress development cycles, enhance product performance, and unlock radically new design spaces. As a recognised leader in AI-powered simulation, we’re growing fast and expanding our platform to deliver even greater impact across the most complex engineering challenges of our time.We are taking the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning software engineer to join our research team.This is a hybrid role, meaning you'll enjoy the best of both worlds- flexibility and in-person collaboration. We work together in our NYC office to foster innovation, teamwork and problem-solving. If you're in (or ready to move to) New York and want to be part of a dynamic, hands-on environment, we'd love to hear from you!Note: We do not provide visa sponsorship in the US. Please only apply if you have the right to work in the US.What You Will DoWork closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problemsDesign, build and optimize machine learning models with a focus on scalability and efficiency in our application domainTransform prototype model implementations to robust and optimized implementationsImplement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimize model training to large data and multi-GPU cloud computeIdentify the best libraries, frameworks and tools for our modelling efforts to set us up for successOwn Research work-streams at different levels, depending on seniorityDiscuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problemsWork at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and productsFoster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentorWhat You Bring To The TableEnthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineeringAbility to work autonomously and scope and effectively deliver projects across a variety of domainsStrong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quicklyExcellent collaboration and communication skills — with teams and customers alikeMSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following:Scientific computing;High-performance computing (CPU / GPU clusters);Parallelised / distributed training for large / foundation modelsIdeally >1 years of experience in a data-driven role, with exposure to:scaling and optimizing ML models, training and serving foundation models at scale (federated learning a bonus);distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton);cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP);building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications;C/C++ for computer vision, geometry processing, or scientific computing;software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps);container-ization and orchestration (Docker, Kubernetes, Slurm);writing pipelines and experiment environments, including running experiments in pipelines in a systematic wayWhat We OfferBe part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Work sustainably, striking the right balance between work and personal life. Receive a competitive compensation and equity package, in addition to plenty of perks such as generous vacation and parental leave, complimentary office food, as well as fun outings and events Opportunity to collaborate in our lovely Shoreditch office and enjoy a good proportion of time working from home, if desired. Get the opportunity to occasionally visit our customers' engineering sites and experience first-hand how our work is transforming their ways of working Use first-class equipment for working in-office or remotely, including HPC We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.",Not Applicable,"Machine Learning Software Engineer, Research"
+138,2025-03-28,San Francisco,California,Scale AI,https://scale.com,"At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 
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+The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
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+Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. ","At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.Example Projects:Ship tools to accelerate the growth of new qualified contributors on Scale’s labeling platformBuild methodical fraud-detection systems to remove bad actors and keep Scale’s contributor base safe and trusted. Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.Devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy.Build methods to automatically measure, train, and optimally match labelers to tasks based on performanceCreate optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ labelers to complete billions of complex tasksDevelop new AI infrastructure products to visualize, query, and explore Scale dataRequirements:A graduation date in Fall 2024 or Spring 2025 with a Bachelor’s degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out ‘what’ to build and then iteratingPrevious Computer Science/Software Engineering Internship experience Track record of shipping high-quality products and features at scaleExperience building systems that process large volumes of dataExperience with Python, React, typescript and/or MongoDBCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$124,000—$145,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.",Entry level,Software Engineer - New Grad
+139,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+140,2025-03-23,San Francisco,California,Nextdoor,https://nextdoor.com,"Nextdoor is where you connect to the neighborhoods that matter to you so you can thrive. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services.
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+We believe connecting with others is a universal human need. That truth, and the reality that neighborhoods are among the most important communities in our lives, have been guiding principles for Nextdoor since the beginning.
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+Today, neighbors rely on Nextdoor in more than 340,000 neighborhoods across 11 countries. In the U.S., 1 in 3 households uses the network.
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+Nextdoor is based in San Francisco. For additional information and images: nextdoor.com/newsroom.
+
+Nextdoor is free, and it's easy to sign up. Get started at https://nextdoor.com.
+
+For media inquiries, email us at press@nextdoor.com.
+
+For customer support, reach us at http://nextdoor.com/support.","#TeamNextdoorNextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.Meet Your Future NeighborsAt Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live.At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees.The Impact You’ll MakeYou will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platformCollect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platformAnalyze datasets and and use important features to build low-latency models for decisions that need to be made quicklyDeploy ML models into production environments and integrate them into the productRun and analyze live user-facing experiments to iterate on model quality by measuring impact on business metricsCollaborate with other engineers and data scientists to create optimal experiences on the platformParticipate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercisesBuild in-person relationships with team members and contribute to Nextdoor’s company cultureWhat You’ll Bring To The TeamB.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field2+ years of industry/academic experience of applying machine learning at scaleExperience of building ML models for advertising productsProven engineering skills. Experience of writing and maintaining high-quality production codeAbility to work with and analyze large amounts of dataAbility to succeed in a dynamic startup environmentRewardsCompensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.The starting salary for this role is expected to range from $190,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.",Mid-Senior level,Machine Learning Engineer - Ads
+141,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+142,2025-03-26,Leeds,England,Morgan King Technology,http://www.morganking.co.uk,"Welcome to Morgan King Technology, your specialist global consultancy for AI, Data, and Engineering talent management.
+
+In today's digital era, industries worldwide are undergoing significant transformations. With the rapid pace of change, companies are seeking to adapt and innovate. This shift demands access to a new breed of talent, creating a pressing need to attract and retain professionals with specialised skill sets.
+
+Enter Morgan King Technology – your recruitment partner equipped to navigate this evolving landscape. We harness cutting-edge technology, driving innovation and empowering change.
+
+We thrive on collaborating with Start-Ups & SMEs, helping them fuel growth and assemble high-performing tech teams. Additionally, we work with some of the leading organisations on a global scale. Operating globally, we provide tailored solutions across diverse sectors and regions.
+
+Specialising in:
+
+Talent Acquisition: From scaling up rapidly to acquiring talent for specific roles, we've got you covered.
+RPO (Recruitment Process Outsourcing): Let us manage your recruitment process efficiently, saving you time and resources.
+Fundraising: Need to raise capital or secure investment? We have the resources and connections to help you succeed.
+No matter how ambitious your goals, Morgan King Technology is uniquely positioned to deliver.
+
+Visit our website to learn more:
+http://www.morganking.co.uk","The Opportunity We’re working with an AI startup in San Francisco that’s pushing the boundaries of generative AI and NLP. Backed by top-tier VCs, they’ve secured major funding and are scaling fast. If you’re looking for a hands-on ML role where you can work on cutting-edge large language models (LLMs), reinforcement learning, and real-world AI applications—this is it.They need an ML Engineer who thrives in a fast-moving startup environment, loves research-driven development, and wants to see their models power real products used by millions.Why You Should Join Build production-level AI models that go beyond academic research Work alongside PhDs and ex-Big Tech ML engineers Get in early—massive equity upside and full ownership of key AI features Solve high-impact LLM and deep learning problems in a practical wayTech Stack: Python, PyTorch, TensorFlow, JAX, Hugging Face, AWS/GCP, Kubernetes, DockerWhat They’re Looking ForStrong experience in building and deploying ML models (LLMs, transformers, CNNs, RNNs)Hands-on with PyTorch or TensorFlow in productionDeep understanding of scalability & optimization (think MLOps, model deployment, inference optimization)Experience with distributed computing (Ray, Spark, Dask) is a plusPrior experience in a startup or fast-moving environmentLocation: California (Remote OK, but strong preference for SF Bay Area)Interested? Let’s chat—this is an exclusive opportunity with an AI team that’s redefining the industry.",Mid-Senior level,Machine Learning Engineer
+143,2025-02-24,Milpitas,California,Inhabitr,https://www.inhabitr.ai,"We merge cutting‐edge technology, operational efficiency, and eco‐conscious, elegant design to create inspiring spaces tailored to your vision. Our streamlined approach to FF&E procurement ensures every project achieves its full potential—delivered on schedule, perfectly aligned with your brand, and within budget. Additionally, Inhabitr also offers affordable furniture rental options to consumers. We are headquartered in San Francisco and Mumbai. 
+
+","About InhabitrInhabitr is a fast-growing furniture tech company revolutionizing the industry. We offer a unique platform where customers can buy or rent furniture, catering to professionals, students, realtors, and homeowners. Our innovative approach combines technology with furniture solutions to provide unparalleled flexibility and convenience.Position OverviewWe are seeking a talented Machine Learning Engineer to join our Data Science and Engineering team. This role offers an exciting opportunity to apply your skills in machine learning, computer vision, and MLOps to drive innovation in the furniture tech industry. The ideal candidate will have a strong foundation in deep learning frameworks and cloud technologies, with a passion for developing and deploying AI-driven solutions.Key ResponsibilitiesDevelop and implement machine learning models, with a focus on computer vision applicationsDesign and maintain scalable data pipelines using cloud technologies (AWS, GCP)Contribute to the end-to-end machine learning lifecycle, from data preparation to model deploymentCollaborate with cross-functional teams to integrate AI solutions into our productsOptimize ML models for performance and scalabilityImplement MLOps best practices to ensure efficient model deployment and monitoringTechnical Skills RequiredStrong proficiency in Python, with expertise in deep learning frameworks (PyTorch, Keras, TensorFlow)Experience with computer vision libraries and techniquesFamiliarity with cloud platforms (AWS, GCP) and big data technologies (Spark)Proficiency in data manipulation and analysis using pandas, numpy, and scikit-learnExperience with data visualization tools (plotly express, seaborn, matplotlib)Knowledge of SQL for data querying and manipulationFamiliarity with version control (Git) and containerization (Docker)Understanding of MLOps principles and practicesAdditional Desirable SkillsExperience with 3D data processing (open3D)Familiarity with MATLABKnowledge of advanced visualization techniques (manim)QualificationsBachelor's or Master's degree in Computer Science, Data Science, or related field3-5 years of experience in machine learning or software engineering rolesDemonstrated experience with deep learning and computer vision projectsRelevant certifications (e.g., Deep Learning Specialization, MLOps Specialization) are a plusPersonal AttributesStrong problem-solving skills and attention to detailExcellent communication skills and ability to work in a collaborative team environmentEagerness to learn and adapt to new technologiesPassion for applying AI to real-world problemsWhat Inhabitr OffersA dynamic and collaborative work environmentOpportunities for professional growth and skill developmentCompetitive salary and benefits packageChance to make a significant impact in a rapidly growing tech companyJoin us in shaping the future of the furniture industry through innovative data solutions!",Entry level,Machine Learning Engineer
+144,2025-02-24,Colorado Springs,CO,"Skyline Products, Inc.",http://www.skylineproducts.com,"Skyline Products manufactures electronic price signs and transportation systems that are Designed to be Bold, Engineered to Last. Since 1970, Skyline has invested heavily in research and development to create the most legible and reliable price signs and transportation systems in the industry. Fully designed and manufactured in Colorado Springs, CO, our industry-exclusive technologies provide superior display feedback, unmatched brightness control, exceptional full-bodied digits, advanced energy efficiency, and military-grade durability. Additionally, Skyline provides customers with price-change confirmation, true message display verification feedback, and the most advanced sign diagnostics on the market. 
+
+Learn more at www.SkylineProducts.com.","At PriceAdvantage, a division of Skyline Products, we have revolutionized the way fuel marketers price fuel by giving them easier access to real-time data, eliminating manual processes, and decreasing the time it takes to execute fuel price changes accurately. With these core competencies, PriceAdvantage has helped fuel retailers across the country increase their profitability significantly.The ideal candidate will have a strong background in machine learning algorithms and data analysis, with experience in developing and deploying machine learning models. This role involves collaborating with cross-functional teams to enhance our data-driven decision-making processes and improve product offerings.We are looking for a Remote Machine Learning Engineer to join our team, where you will play a key role in developing cutting-edge AI and machine learning models that drive innovative solutions across various applications. You will work with cross-functional teams to design, build, and deploy intelligent systems that improve performance, efficiency, and user experiences. Your expertise in AI algorithms, machine learning frameworks, data analysis, and software development will contribute to solving complex business problems and advancing our technological capabilities.Key Responsibilities: Design, develop, and implement AI-driven solutions using machine learning techniques, deep learning, natural language processing (NLP), and computer visionBuild, train, and optimize machine learning models to analyze large datasets and derive actionable insightsDevelop and integrate machine learning algorithms into production systems, ensuring scalability and performanceCollaborate with data scientists, software engineers, and other stakeholders to define system requirements, data pipelines, and performance metricsUtilize big data tools and frameworks to process, analyze, and extract insights from large datasets in various domainsContinuously improve model performance through experimentation, hyperparameter tuning, and model evaluationStay updated with the latest AI and machine learning research trends to apply cutting-edge technologies and techniques. Implement best practices in coding, version control, and continuous integration for AI/ML projects.Required Skills & Qualifications: Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).Troubleshoot and resolve issues related to machine learning models and AI applicationsBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related fieldStrong proficiency in programming languages such as Python, Java, or C++Solid understanding of AI techniques, including supervised and unsupervised learning, reinforcement learning, NLP, and deep learningProficiency in data manipulation and analysis using tools such as Pandas, NumPy, and SQLExperience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML modelsFamiliarity with containerization and orchestration tools (e.g., Docker, Kubernetes)Strong problem-solving and analytical skills, with the ability to work on complex data-driven projectsExcellent communication skills and the ability to work collaboratively in a multidisciplinary teamPreferred Qualifications: Familiarity with data engineering concepts and tools, including ETL processes and data warehousingKnowledge of distributed computing and high-performance computing (HPC) for scaling machine learning modelsFamiliarity with Agile methodologies and version control systems (e.g., Git)Compensation:The compensation for this position ranges from $100,000 - $120,000 depending on experience.Why Join Us? As part of our dynamic team, you will have the opportunity to work on some of the most exciting and impactful AI and machine learning projects in the industry. We foster a collaborative environment where innovation is encouraged, and we provide the tools and resources you need to grow your career in AI and machine learning.Skyline Products is an Equal Opportunity Employer; all decisions are made without regard to race, color, religion, creed, gender, national origin, age, disability, marital or veteran status, sexual orientation, gender identity, or any other legally protected status.Powered by JazzHRWjwSO5Uv66",Mid-Senior level,AI Predictive Machine Learning Engineer
+145,2025-04-05,Oakland,California,Pacific Gas and Electric Company,http://www.pge.com,"Pacific Gas and Electric Company, incorporated in California in 1905, is one of the largest combination natural gas and electric utilities in the United States. Based in San Francisco, the company is a subsidiary of PG&E Corporation.
+
+There are approximately 20,000 employees who carry out Pacific Gas and Electric Company's primary business—the transmission and delivery of energy. The company provides natural gas and electric service to approximately 15 million people throughout a 70,000-square-mile service area in northern and central California.
+
+Fast Facts
+
+* Service area stretches from Eureka in the north to Bakersfield in the south, and from the Pacific Ocean in the west to the Sierra Nevada in the east
+
+* 141,215 circuit miles of electric distribution lines and 18,616 circuit miles of interconnected transmission lines
+
+* 42,141  miles of natural gas distribution pipelines and 6,438 miles of transportation pipelines
+
+* 5.1 million electric customer accounts
+
+* 4.3 million natural gas customer accounts","Requisition ID # 164268Job Category: Administrative / ClericalJob Level: Individual ContributorBusiness Unit: Customer & Enterprise SolutionsWork Type: HybridJob Location: OaklandDepartment OverviewThe Customer Insights, Strategy and Analytics organization leverages qualitative and quantitative data to evaluate the effectiveness of customers’ touchpoints with PG&E. We do this through data analytics, journey mapping, qualitative and quantitative research, process improvement, and program management. We build empathy and advocate on behalf of customers and develop actionable insights to influence strategy and improve customer experience.Position SummaryWe are looking for a Data Scientist Intern to join us and help us better understand customer experience leveraging data. In this role, you will design, develop, and execute scripts, programs, models, algorithms, and processes, using structured and unstructured data across surveys and other disparate sources; this work will produce actionable insights for customer strategy, policy development, process improvement, and product enhancement.Successful candidates will be able to interact with technical and non-technical coworkers to resolve analysis and technical issues and are able to summarize and package findings for presentationYou will play a key role in fundamentally changing how we deliver for our hometowns!PG&E is providing the hourly rate range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual hourly rate paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity.The hourly rate for this position ranges from $22.77 to $36.42.ResponsibilitiesUnderstand and apply statistical and analytical modeling methods and Generative AI (LLM) to identify opportunities for improving customer experienceAnalyze data for trends and patterns and interpret data with clear objectives in mindDevelop expertise with customer demographic data, billing data, and other structured/unstructured dataAppropriately document data sources, methodology, and model evaluation metricsDevelop and present summary presentationsQualificationsMinimum Qualifications:Qualified candidates are pursuing a Master’s degree in Data Science, Computer Engineering, or related field at an accredited UniversityStudents must be continuing their education towards their degree during and/or after the internshipDesired:Took courses in machine learning/statistical learning, coding (python & SQL)Knowledge in generative AI/LLMAbility to work in a team environment and support fellow team membersStrong problem solving and analytical skills Strong communication skills, both oral and writtenTakes initiative and can work independently with minimal direction",Internship,Data Scientist Intern
+146,2024-07-25,San Francisco,CA,Tome,https://tome.app/,"Tome is an AI assistant for enterprise sellers, built to automate manual work and enable more effective conversations throughout the entire sales cycle.
+
+The Tome platform trains custom language models on your company’s sales methodology, value framework, and GTM tech stack, allowing AEs to:
+
+1. Book more qualified pipeline with automated account and persona research, suggested value hypotheses, and personalized outreach messages for the highest priority accounts.
+
+2. Accelerate existing pipeline with detailed meeting prep, generated collateral, AI note taking synced to your CRM, and automated follow-ups.
+
+3. Optimize their sales playbook with insights on which messages, features, and collateral lead to bigger, faster deals.
+
+In this new world, AEs can focus less on work that weighs them down and more on spending time with customers. Sales leaders can ensure quality pipeline creation is maximized, more deals are won, and reps ramp faster. And RevOps leaders are at peace-of-mind knowing their systems and processes are being used to their full potential.","About LightfieldLightfield is a new kind of CRM.It's a collaborative system for founders to find, understand, and serve customers faster than anything before it.It captures every customer interaction, generates and performs followup actions, and answers questions about your go-to-market using knowledge obtained in real time.Our system is tuned and customized by a team of experienced sellers, engineers, and researchers. Many of us worked on large-scale products including Llama, Messenger, Instagram, Pinterest, and Linkedin before this.Lightfield.appAbout The RoleLightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers.Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMs.We’re inspired by the challenge of creating innovative new AI products for people doing serious work, and we’re looking to grow our AI/ML team to meet that challenge.What You'll DoCreate and ship magical, highly-differentiated AI experiences that sales teams are eager to useCraft Lightfield's AI/ML strategy in tight collaboration with founders and execsIdentify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutionsPrototype innovative, LLM-powered experiences, and drive their development into robust product featuresHelp build a world class AI/ML engineering team by recruiting and mentoring teammatesWho You AreYou have a BS or MS degree in CS, AI, or applied mathYou have 5+ years of experience building AI/ML based products in NLP domainsYou have a strong understanding of deep learning AI/ML frameworks or cloud servicesYou have hands-on ML Ops experienceBonus PointsExperience leading AI/ML product initiativesPublications in applied AI/ML scientific journalsExperience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)",Mid-Senior level,Machine Learning Engineer
+147,2025-03-31,Annapolis Junction,MD,Interclypse,https://interclypse.com,"Interclypse is a small business headquartered in Annapolis Junction, Maryland, focused on solving complex problems for customers across the US Intelligence Community and customers in the federal and state government and commercial industries since 2007. We combine world-class engineering talent with proven engineering best practices, domain expertise, and a proven agile management methodology to meet our customers' most critical business and mission objectives.  
+
+The Interclypse team is on a continuous mission to have a positive transformational impact on society, community, industry, and individuals! Our team accomplishes this mission by continuously ""Doing What is Right."" ","DescriptionInterclypse is seeking Data Scientists.The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career.Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.RequirementsEducationDegree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required.Primary ResponsibilitiesEngage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.To succeed in this position; you need to be curious, creative, and tech-savvy.You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms.You must be persistent and have excellent analytical and problem-solving skills.Devise strategies for extracting semantic value from large datasets.Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions.Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.Required Skills/ExperienceExperience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora)Experience with programming in R, Python, JavaExperience with NoSQL databases ( e.g., MongoDB, Accumulo)Experience designing data models and approachesExperience working in a cloud environment ( e.g., AWS, Azure)Experience with LinuxExcellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levelsAbility to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environmentDesired Skills/ExperienceExperience with programming in TensorFlow, PyTorchExperience with Hadoop, MapReduceExperience with TableauExperience with CognosExperience with designing, implementing, and using REST APIsExperience with RDF/OWL, SPARQL, and Semantic Web technologiesExperience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plusExperience with Data catalogs and data managementAbility to help visualize the data for analysis and to display resultsWhy You Might Like This JobYou’re tired of working for a massive organization.You want to work for an established company that values your stable career.You want to work with a team who loves their job and making cool stuff.You want to be part of a team focused on making a positive impact.You want to grow your skills in management or work toward becoming an expert.You want to have the option for career mentorship, both in technology and in business.You value a company with a strong culture of growth and support.BenefitsEmployee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity.Comprehensive time off and leave programs:31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdaysParental Leave: 40 HoursBereavement Leave: 24 hours.Military Reserve Leave (up to 80 hours, see employee handbook for details).Jury Duty Leave 16 hours.Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximumHealth Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details).Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for familiesVision InsuranceDental Insurance includes orthodontics coverageLife InsuranceAccidental Death and Dismemberment InsuranceDisability: Short-term and long-term disability coverageEducational support: reimbursement up to the federal max of $5,250Company apparel: $200 for company apparel each yearSocial events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and moreInterclypse isn’t your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: ""Doing What is Right"". Apply today to see how you can join our winning team and start down the career path that’s right for you!EOE AA M/F/Vet/DisabilityInterclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate’s experience and education/training, internal peer equity, and market and business consideration.",Entry level,Data Scientist - All Levels
+148,2025-04-07,San Jose,CA,PayPal,https://www.paypal.com/us/home,"We're championing possibilities for all by making money fast, easy, and more enjoyable. Our hope is unlock opportunities for people in their everyday lives and empower the millions of people and businesses around the world who trust, rely, and use PayPal every day. 
+
+For support, visit the PayPal Help Center. https://payp.al/help
+
+For employment opportunities, check out our job openings in the 'Jobs' tab. We're an equal opportunity employer that welcomes diversity, and offer generous benefits to help you thrive at work and in your free time.
+","The CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Description Summary:As a machine learning scientist of our team, you will work with Business partner, Product Owners and machine learning engineer building machine learning solutions and improving existing Compliance risk management effectiveness and efficiency. You’ll estimate engineering efforts, prioritize projects, plan implementations, and triage production issues. You need to be dynamic, collaborative and curious, as you’ll work in a fast-paced environment where continuous experimentation and innovation are a given.Job Description:We are seeking an experienced Machine Learning Scientist to work on the development and implementation of cutting-edge machine learning solutions to solve complex business problems.Key Responsibilities:Collaborate with business partners and stake holders to understand the business, identify trends, perform root cause analysis and test hypotheses, come up with the solutions and communicate complex concepts and the results of the models and analyses to technical and non-technical audience. Design, develop and deploy real-time advance machine learning models to solve Compliance business problems, to ensure compliance to regulation, enhance internal risk controls and improve operational efficiency to enable the best user experience, using data science.Required QualificationsM.S. or equivalent degree in Computer Science or engineering field is desiredStrong problem-solving and communication skillsProven track record of building and implementing machine learning solutionsHands on machine learning expertise in Python. Familiar with various Machine Learning algorithms and Statistical methods. Experience in using pytorch or tensorflow.Have a passion for working on big data and professional experience in data mining, statistical analysis, predictive modeling and data manipulation.Ability to deal with large amount of data and fluency with SQL or SQL-like tools. Financial services or eCommerce experience a big plusPayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is $60900 to $147400For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspxCommitment to Diversity and InclusionPayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.Belonging at PayPal:Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please Join our Talent Community.We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.REQ ID R0123302",Not Applicable,Machine Learning Engineer
+149,2025-04-07,New York,NY,Tennr,https://www.tennr.com,"Tennr reads documents from incoming faxes passing through healthcare practices and automates essential tasks like scheduling and qualifying patient visits. By automating that paperwork with Tennr, practices receive more patient referrals and reduce billing errors by 98%, significantly growing revenue. ","About Tennr:Today, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster.Tennr is a NYC-based tech company that launched out of Y-Combinator and is backed by Lightspeed Venture Partners, Andreessen Horowitz, Foundation Capital, The New Normal Fund, and other top investors.Key ResponsibilitiesMachine Learning Engineers at Tennr are expected to wear a variety of hats. In the role, you will be expected to do the following:End-to-End Model Development: Architect, train, deploy, and monitor machine learning models, especially open-source LLMs and traditional computer vision models, to deliver tangible value to Tennr’s customers. Data Processing & ML Ops: Build, optimize, and maintain data pipelines and machine learning infrastructure, enhancing our operational capability as data volume and complexity grow. System Integration: Design and implement backend workflows leveraging machine learning to automate critical processes within Tennr’s platform. Custom Model Development: Fine-tune large language models, vision language models, and traditional computer vision models tailored specifically for medical document understanding and related tasks. Product Collaboration: Work closely with sales, customer success, and implementation teams to integrate customer feedback into actionable improvements and innovative solutions. Evaluation and Optimization: Develop robust evaluation frameworks to measure model performance and efficacy within complex, multi-model systems. Qualifications3+ years of professional experience in an applied machine learning engineering role, ideally post-BS/MS. Proven experience deploying and maintaining machine learning models in production environments, preferably within startups or rapidly evolving companies. Practical experience fine-tuning open-source LLMs and/or traditional computer vision models. Familiarity with robust ML Ops stacks, infrastructure management, and operational best practices for machine learning at scale. Comfort working within complex systems that integrate multiple machine learning components, with experience building evaluation frameworks to ensure system performance. Academic background in machine learning, mathematics, or related fields preferred. Up-to-date knowledge of recent advancements in large language models (LLMs) and enthusiasm for tracking rapid developments in the space. Prior startup experience or exposure to environments leveraging state-of-the-art ML models strongly preferred.",Mid-Senior level,Machine Learning Engineer
+150,2025-04-06,New York,NY,OXMAN,https://oxman.com/,"Envision a future of complete synergy between Nature and humanity, where human-made and Nature-grown become indistinguishable.
+
+OXMAN is a new kind of company fusing design, technology, and biology to invent multi-scale products and environments—allowing design to empower science and science to empower design. As activist designers, we call for a fundamental shift from human-centric design to Nature-centric design. Categorical delineations between climate change and global pandemics, loss of biodiversity and loss of empathy for one another give way to authoring systems that address manifold challenges. Through this shift, we open ourselves up to moving beyond mere maintenance of Nature toward its radical betterment.","OXMANOXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design.At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it.We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments.This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond the mere maintenance toward the advancement of Nature.SummaryOXMAN is seeking a Machine Learning Engineer to join an all-star interdisciplinary team of deep thinkers and brilliant makers, with the aim to leverage artificial learning systems as a tool for mediation between human-made and nature-grown environments. By employing a generative approach and a commitment to process-oriented creation at OXMAN, the Machine Learning Engineer will play a crucial role in a variety of endeavors. These range from design tasks to technological platform advancement, all with the overarching objective to facilitate mediation and dialog and opening opportunities for interactions of combined systems that unite physical, digital, and biological realms.In this position they will design, optimize, and deploy machine learning pipelines using large multimodal datasets containing heterogeneous and complex information related to biology, design, and sustainability. Lead the development of deep generative modeling efforts to explore design spaces and develop real-world deep reinforcement learning methods in biological-artificial hybrid systems. Successful applicants embody stellar technical skills, hold the capacity to navigate and resolve uncertainty, and demonstrate a unique ability to find synergies between biology (wetware), computing (software) and fabrication (hardware). The Machine Learning Engineer will play a key role in researching and developing novel algorithms, models, and methods for solving unique challenges within a variety of biological and bio-inspired systems—from single-celled organisms to whole ecologies and even biotic-abiotic hybrid systems.Core responsibilitiesApply techniques from artificial intelligence and machine learning to research, develop, implement, and evaluate state-of-the-art algorithms for applications related to design, fabrication and biologyResearch and develop methods and frameworks in the area of multi modal machine learning, deep generative modelling and deep reinforcement learning to support OXMANs vision of integrated physical, digital and biological systemsPerform and conduct data gathering and data analysis on environmental and biological data as it relates to OXMANs design goals.Actively seek opportunities to publish work in top-tier journals and other platforms for promoting scientific knowledgeNurture and augment the scientific vision of OXMAN, upholding core design principles and ensuring the highest and most innovative quality of workActively partner with a multidisciplinary team of professionals, including other biologists, engineers, and designers, across scientific and design pursuitsCommunicate ideas, work, and progress clearly, including by engaging in team meetings, presentations, and other creative communication outletsQualifications & CompetenciesPhD or equivalent, with a focus on computer science, artificial intelligence, machine learning, applied data science, bioinformatics, mathematics, physics, or relevant fieldMinimum 4 years of experience with machine learningExperience in one or more of the following: Multi Modal Machine Learning, Deep Generative Modeling, Deep Reinforcement Learning.Portfolio demonstrating out-of-the-box thinking and integration of artificial intelligence methods to other domains.Fluency with programming (e.g., Python, C++, ...)Expert knowledge in Machine Learning Frameworks (Pytorch, JAX, ...)Ability to thrive in a fast-paced entrepreneurial environmentExcellent independence, self-motivation, organizational skills, and attention to detailAn interest in design, biology, architecture, artificial intelligence, and/or sustainability is a plusStrong commitment to the team; maintains positive working relationships with diverse people, including internal team and external partnersEmbodies ethics and integrity in all work, respecting both company and broader community policies in all conductOXMAN does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other legally protected characteristics.NYC Salary Range: $83,000-$225,000Salary is based on a number of factors including job-related knowledge, skills, experience, and other business and organizational needs. Our compensation package also includes variable compensation in the form of year-end bonuses, benefits, immigration assistance, and equity participation.PI267202641",Entry level,Machine Learning Engineer
+151,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+152,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:The Search E-Commerce team spearheads the development of TikTok's advanced search algorithm, crucial for its booming global e-commerce platform. Utilizing state-of-the-art large-scale machine learning, along with cutting-edge NLP, CV, and multi-modal technologies, we are committed to creating a top-tier search engine. Our goal is to deliver the best e-commerce search experience to over a billion monthly TikTok users worldwide. Our mission is to create a world where ""no reasonably priced product is difficult to sell.""We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates globally.Responsibilities: Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales. Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. Promote the robust development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.QualificationsMinimum Qualifications: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Familiar with one or more of the following areas: recommendation systems, machine learning, deep learning, data mining, computer vision, NLP, or multimodal machine learning. Strong proficiency in Python and/or C/C++, and familiarity with a machine learning framework. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (Search E-Commerce - Seattle) - 2025 Start (BS/MS)
+153,2025-03-29,Costa Mesa,CA,Experian,http://www.experianplc.com/,"Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.
+We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.
+We invest in talented people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.","Job Posting - Salary Range: See pay range in the job description belowCompany DescriptionExperian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.comJob DescriptionEmployer: Consumerinfo.com, Inc.Job Title: Data ScientistJob Location: 475 Anton Blvd., Costa Mesa, CA 92626Develop machine learning algorithms with huge data sets to solve challenging business questions; Improve performances of existing algorithms; Discover new data sources and create new input features for ML models; Build end to end data pipeline for ML models; Communicate key analytical results to stakeholders.QualificationsEmployer will accept a Master's degree in Machine Learning, Data Science, Computer Science, Statistics or related field.Position Requires Experience In The FollowingExperience with statistical modeling techniques such as regression, support vector machines, and neural netsExperience with natural language processingExperience with deep learning algorithms such as convolutional neural networks and recurrent neural networks.Experience with API development and comfortable working in a Linux environment.Experience with building end to end scalable ML solutions from data aggregation to model deployment.Experience in Python, R, SQL and SparkSQL. Additional InformationPay range for this role is $96,678.00 - $151,230.00, with actual pay based on work location, job-related skills, experience and education. Role incl. variable pay and comprehensive benefits. To apply please go to https://www.experian.com/careers/.",Entry level,Data Scientist
+154,2025-04-07,Springfield,PA,Gap International,http://www.gapinternational.com/,"Gap International is a global performance consulting company that works with executives and their organizations to produce extraordinary business results in the ever-changing marketplace.
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+Gap International’s unique approach focuses on changing mindsets to change performance, and growing companies while growing their leaders. With proprietary methods based on the correlation between thinking and performance, Gap International consults with individuals, teams, and organizations to break through existing paradigms and past-based assumptions that keep performance at current levels. When leaders understand and unlock extraordinary thinking, exceptional growth is not serendipitous, it’s predictable and repeatable.
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+Gap International has worked with over 50,000 executives in 1,500 organizations across 65 countries—from CEOs and executives of Fortune 1000 companies to entrepreneurs. Headquartered in Philadelphia, Gap International has experience in every major industry sector, including manufacturing, retail, energy, FMCG, pharmaceuticals, healthcare, technology, telecommunications, and financial services. ","GAP INTERNATIONAL – A unique, purpose-driven, consulting companyABOUT GAP INTERNATIONALGap International is a forward-thinking consulting firm dedicated to leveraging cutting-edge technologies to deliver innovative solutions tailored to our clients' needs. We are a team of passionate problem-solvers committed to excellence and innovation. As part of our growth strategy, we seek an Artificial Intelligence/Machine Learning Engineer to contribute in pushing the boundaries of AI and ML and create innovative solutions for internal as well as client-facing projects within a dynamic, small company environment. This role offers a unique opportunity to contribute to a wide range of transformative projects such as dialog driven learning and knowledge discovery, as well as the acceleration of various business processes.ABOUT THE ROLEYou will be part of a tight-knit, productive, and highly collaborative research and development team. As an AI/ML Engineer, you will be responsible for designing, developing, and deploying machine learning models and AI solutions to solve complex problems and improve operational efficiency within our organization. Your contributions have the chance to create significant impact on our products as well as the scientific community. The role involves working closely with cross-functional teams to understand requirements, explore and visualize data, build predictive models, and integrate effective AI/ML solutions into our internal processes and digital products.RESPONSIBILITIESCollaborate with project stakeholders to define scope, objectives, and requirements for AI and ML-driven projects.Research, design, and implement algorithms and models that can learn from and make predictions or decisions based on data.Collect, clean, and preprocess data from a variety of internal and external sources.Evaluate the efficacy of different models and algorithms using appropriate metrics and statistical methods.Keep abreast of developments in AI/ML to continuously improve and update models and techniques.Prototype, deploy, and maintain AI/ML models in a production environment, ensuring they are scalable, reliable, and efficient.Document the development process, architecture, and standard operating procedures for models and systems.Work closely with IT and software development teams to integrate AI/ML solutions into our internal tools and workflows.Assist in identifying opportunities for leveraging AI/ML to gain competitive advantages in our consulting services.REQUIREMENTSCompleted a PhD degree in Computer Science, Data Science, Artificial Intelligence, or a relevant technical field.Proven experience as an AI/ML Engineer, Data Scientist, or in a similar role, with a track record of designing and implementing machine learning models and algorithms.Strong programming skills in Python or other relevant languages, and familiarity with AI/ML frameworks (e.g., PyTorch, Scikit-learn, as well as various Large Language Models, Prompt Engineering, Retrieval-Augmented Generation, AI agents, just to name a few).In-depth understanding of machine learning algorithms, deep learning architectures, and statistical modeling techniques.Experience with data engineering tools and platforms, and proficiency in handling large, complex datasets.Excellent problem-solving and analytical skills, with an ability to work on complex projects and translate business challenges into AI/ML-driven solutions.Strong communication skills, both verbal and written, with the ability to effectively convey complex technical concepts to non-technical stakeholders.Ability to work independently as well as part of a collaborative team in a fast-paced environment.GAP INTERNATIONAL ASSOCIATESPurposeful people at work impacting companies around the world.People who thrive in a learning environment and enjoy learning, growing, and performing at their best; energized to continually push beyond their comfort zone.Comfortable with ambiguity; eager to take on things they don't know how to do.Curious and flexible when it comes to their own growth and development, as well as receptive to coaching and feedback to maximize their potential.Willing to communicate and contribute thoughts, insights and new ideas to senior leaders both internally and externally.WHAT WE OFFERA role with significant impact and visibility within the company.Opportunities for professional growth and development in a supportive and collaborative environment.Competitive salary commensurate with experience.A dynamic and inclusive company culture.TO APPLYPlease submit your resume which includes a list of publications, a cover letter explaining your interest and how your skills and experience meet the qualifications of the position, and any relevant portfolio or GitHub links showcasing your previous work or projects.Gap International associates are based out of our corporate office in the Philadelphia metropolitan area. In order to be considered for this role, applicants should be legally authorized to work in the US.",Associate,Artificial Intelligence / Machine Learning Research Engineer
+155,2025-04-07,San Francisco,CA,Equilibrium Energy,http://www.equilibriumenergy.com,"Equilibrium is the leader in energy portfolio optimization capabilities and services for the power industry. Equilibrium's Augmented Intelligence Platform (""EQ AI"") leverages AI-powered capabilities to help power companies and corporations unlock the full potential in optimizing their energy portfolios. We're working with our customers to create a cleaner, better world.","About Our CompanyEquilibrium Energy is revolutionizing the clean energy transition by developing innovative grid-scale energy storage solutions. Our technology and market platform helps utilities, independent power producers, and commercial customers optimize their renewable energy assets, improve grid reliability, and accelerate decarbonization. As a fast-growing climate tech company, we're building infrastructure that will shape the future of energy markets and enable a sustainable energy economy.Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We're looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.What we are looking forOur power sector is in the middle of a major transformation. Its increasingly renewable resource mix and demand-side changes require algorithmic management far beyond what was historically required. Because of this, scalable model development and deployment is at the heart of what EQ does. We are looking for experienced ML engineers who are passionate about helping to deliver this scientific platform – to stay at the forefront of AI/ML technology and operationalize those solutions at enterprise scale.What you will doYou will be a member of EQ's Science Platform team. Our Science Platform enables our internal data scientists, as well as external customers, to develop, experiment with, deploy, and monitor forecasting and optimization models at scale. We sit between our data and infra engineers and our scientists - developing frameworks for model development that are both robust and efficient to iterate within. We help bring the algorithmic capabilities of our scientists to a broad range of customer energy applications.Key Responsibilities:Develop and maintain scalable ML pipelines, used to support forecasting and optimization modelsDesign frameworks that support model experimentation, hyperparameter tuning, training, and deploymentCollaborate closely with data scientists to understand new model requirements and together implement solutions that are robust, validated, and scalableIntegrate with data and compute infrastructure to optimize resource utilization and performanceImplement automated testing and monitoring for ML models in productionPartner with our Product and Customer Delivery teams to enable external customers to perform similar tasks to our internal scientists, with minimal code divergence and following security best practicesStay up-to-date with the latest advancements in ML engineering and integrate best practices into the platformThe minimum qualifications you'll needA commitment to clean energy and combating climate changeProficiency in Python software developmentFamiliarity with automated build, deployment, and orchestration tools such as CI/CD, Pants, Docker, Metaflow, and KubernetesStrong understanding of data pipelines, ETL, and data infrastructureExperience with observability tooling like Grafana, Honeycomb, and PrometheusExperience with common machine learning algorithms and libraries (xgboost, sklearn, pytorch, pandas, polars, pandera)Prior experience in operationalizing machine learning workflowsAgility in working with cross-functional teams and adapting to new work methodologiesFamiliarity with agile practices, or a willingness to learnStrong communication skills for collaborating within a remote-first team that works internationally across timezonesNice-to-have additional skillsAn advanced degree in computer science or machine learningExperience in time series forecastingExperience building tools that support data scientistsExperience with Databricks, Spark, and dbtBackground in the energy and power systems sectorNot sure this is the right role for you?We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role.What we offerEquilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. Our experience in the space means we've previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment.Employee benefits include:Competitive base salary and a comprehensive medical, dental, vision, and 401k packageOpportunity to own a significant piece of the company via a meaningful equity grantUnlimited vacation and flexible work scheduleAbility to work remotely from anywhere in the United States, Canada & Europe, or join one of our regional hubs in Boston, SF Bay Area, or LondonAccelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and techEquilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.",Mid-Senior level,Machine Learning Engineer
+156,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $173,000-$259,000 annually.Zone B:The base salary range for this position is $164,000-$246,000 annually.Zone C:The base salary range for this position is $147,000-$220,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 4"
+157,2025-03-27,Washington,DC,The World Bank,http://www.worldbank.org,"The World Bank is a vital source of financial and technical assistance to developing countries around the world. Our vision is to create a world free of poverty on a livable planet.
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+We are not a bank in the common sense; we are made up of two unique development institutions owned by 189 member countries: the International Bank for Reconstruction and Development (IBRD) and the International Development Association (IDA).
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+Each institution plays a different but collaborative role in advancing the vision of inclusive and sustainable globalization. The IBRD aims to reduce poverty in middle-income and creditworthy poorer countries, while IDA focuses on the world's poorest countries.
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+Their work is complemented by that of the International Finance Corporation (IFC), Multilateral Investment Guarantee Agency (MIGA) and the International Centre for the Settlement of Investment Disputes (ICSID).
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+Together, we provide low-interest loans, interest-free credits and grants to developing countries for a wide array of purposes that include investments in education, health, public administration, infrastructure, financial and private sector development, agriculture and environmental and natural resource management.","Data Scientist Job #: req32521Organization: World BankSector: EconomicsGrade: GFTerm Duration: 3 years 0 monthsRecruitment Type: International RecruitmentLocation: Washington, DC,United StatesRequired Language(s): EnglishPreferred Language(s)Closing Date: 4/15/2025 (MM/DD/YYYY) at 11:59pm UTCDescriptionThe World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 120 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. For more information, visit www.worldbank.orgThe Trade Unit (ETIRI) is part of the Prosperity Vice Presidency. In ETIRI, we are responsible for delivering analytic, advisory, financial and convening services in the areas of trade policy, trade facilitation, logistics and connectivity, and regional integration.Considering the fast trend in digitization of trade transactions and supply chains, the Trade unit is ramping up its analytical capacity relying on Big Data and machine learning techniques. These are game changers for knowledge development and policy engagement.ETIRI is hiring a Data Scientist to contribute to analytical and technical assistance engagements at global and country levels on trade-related issues.Duties And ResponsibilitiesThe successful candidate will work to broaden and deepen the World Bank Group’s trade policy program including, but not limited to: Contribute to analytical studies relying on big data, such as the flagship Logistics Performance index (LPI), among others. Contribute to the maintenance and updating of big data sets, including through partnering with external providers. Implement big data pipelines for processing data sets of various types and scales to generate insights for analytical products to guide knowledge development and policy engagement. Support to other trade team members engaged in the production and research in preparing reproducibility packages, and liaison with corresponding team in the research group. Participate in the development of new knowledge products and instruments that can be mainstreamed into country work, including the development of toolkits for analytical work relying on big data and machine learning. Contribute to country level analytics and support regions by engaging in the policy dialogue with client countries and participating in lending projects initiated by country teams. This may involve the preparation of briefs, PowerPoint presentations, and policy notes for both internal and external audiences, reviewing and commenting on key documents, consultations, and stakeholder engagement activities through lending and non-lending activities (i.e., projects, programs, analytical work, etc.). Participate in knowledge sharing and learning activities of the Trade Unit, and organize and contribute to dissemination activities, conferences, workshops and learning programs. Participate in and contribute to knowledge sharing and learning activities of the Data Science & Statistics Community. Participate in and expand the scope of partnerships established with other units and organizations active in big data analytics in relation to trade. Support the Practice Manager and the Global Practice with corporate demands and quality control of deliverables. Present the team’s work at internal and external knowledge exchange and dissemination events.Selection Criteria Masters or Advanced Degree in relevant field (data science, economics, trade), with at least 5 years of relevant professional experience in data science (or PhD degree in relevant field, and at least 2 years of relevant professional experience). Demonstrated professional experience in the analytics of trade-related issues. Strong analytical and organizational skills and proven ability to conduct independent quantitative research. Proficiency in Python and most common packages such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. Familiarity with GIS, and common database languages (e.g. SQL). Proficiency in big data processing and experience with tools such as Databricks, PySpark, or similar stack. Demonstrated experience in using workflow management and code versioning tools such as GitHub. Demonstrated experience with implementation of machine learning techniques including common supervised learning algorithms, unsupervised algorithm, and exposure to neural networks, including for image and language processing. Strong understanding of the data life cycle, the dimensions of data quality, reproducible research practices, and data protection. Demonstrated ability to work in a team environment with multiple priorities and tight deadlines. Excellent communication skills, both written and oral. Experience with data visualization. Demonstrated ability to take leadership and communicate ideas effectively under pressure.World Bank Group Core CompetenciesThe World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.Learn more about working at the World Bank and IFC , including our values and inspiring stories.",Entry level,Data Scientist - req32521
+158,2025-01-22,,,Adapter,https://www.adapter.com,"We are building the next generation of tools that at their core reimagine how real people interact with collaborative and intelligent technologies in their daily lives. We are not focused on the 10% or 20% improvement. We are focused on the reinvention of our collective abilities.
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+We are a team of engineers, scientists, creatives, and innovators who are united in the belief that these technologies can be harnessed to improve the daily lives of people around the world. We are backed by some of the industry’s most respected and accomplished thought leaders, doers, and venture investors.
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+We have been focused on this mission quietly for a while now. Last year, the mass market began engaging with these systems in a meaningful way for the first time. Yet, in a lot of ways this shift took place with an asymmetric benefit to large organizations. We believe that there is no fundamental reason why we as individuals can’t also reap these enormous benefits. Focus, ingenuity, and hard work are all that separate this potentiality from reality.","Our StoryThe widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to make their capabilities empowering, trustworthy, and useful to real people in the real world.Adapter was founded in 2022 by Adam Ghetti and Dr. David Bader, with the support of some of the most esteemed Tier 1 Silicon Valley firms and individual entrepreneurs. We are a small but dedicated team, currently working towards solving a significant problem. We recognize the importance of being early movers in this field, and have assembled a well-supported and passionate team to do so.What We Are Looking ForWe are looking for a Machine Learning Engineer who will play a critical role in fine-tuning transformer-based models using automation pipelines and implementing real-time fine-tuning pipelines in production environments.You will partner with a brilliant team of designers, engineers, and innovators and will be at the cutting edge of some of the most interesting consumer use-cases for intelligent technologies.We have established a culture that promotes both remote work and in-person collaboration, with team members currently dispersed between Austin, NYC, and the Bay Area. We believe that the integration of these two elements allows for maximum productivity and creativity as we strive to achieve our goal.ResponsibilitiesUse the latest cutting edge technologies such as LLMS, multimodal models to handle complex problems.Work with large datasets, perform data preprocessing, and engineer relevant features to enhance model performance.Build frameworks that allow us to iterate and evaluate model versions (ranking, accuracy, latency).Deploy Models at Scale: Collaborate with software engineers to deploy machine learning models into production, ensuring seamless integration with existing systems.Monitoring and Maintenance: Implement monitoring solutions to track model performance in real-time and perform regular maintenance and updates as needed.Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and business analysts, to understand requirements and deliver impactful solutions.Research and Innovation: Stay abreast of the latest advancements in machine learning and contribute to the research and development of innovative solutions.QualificationsExperience with optimizing models for size, cost, and latency is a plus.Proficient in designing, developing, and operating fine-tuning pipelines in production environmentsExperience with large-scale data processing and distributed systemsStrong programming skills in Python, and proficiency in machine learning libraries such as PyTorch, Tensorflow etc.Work Experience3+ years of experience in similar role, focus on developing and deploying ML models in production environments Startup experience is a plusBenefitsEarly stage equityComprehensive health insuranceGenerous PTORemote and in person cultures that promote collaborationFull compensation packages are based on candidate experience and certifications.United States - Remote Pay Range: $180,000 USD - $225,000 USD",Not Applicable,Machine Learning Engineer
+159,2025-04-07,Brooklyn,NY,Etsy,http://www.etsy.com,"Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. Etsy Inc. employees – whether a team member of Etsy, Reverb, or Depop – tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
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+Founded in 2005, Etsy is headquartered in Brooklyn, NY with additional offices in Dublin and Mexico City. As of December 31, 2023, our marketplaces connect 9 million active sellers – including 7 million on Etsy.com, 80% of whom are women – and 96 million active buyers in nearly every country in the world. In 2023, we facilitated over $13 billion in transactions.","Company DescriptionEtsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.Salary Range$183,000.00 - $216,000.00What’s the role?Etsy is hiring a Senior Machine Learning Engineer, Risk to join the Risk Engineering organization. Our team keeps Etsy a safe and trusted marketplace by building advanced and scalable ML technologies to detect and prevent risk and fraud. We are looking for passionate individuals that are committed to applying Machine Learning to deliver customer impact.This is a full-time position reporting to the Senior Engineering Manager, Risk ML. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here.What’s this team like at Etsy?Our work tackles pressing, real-world problems, including detection of transactional fraud, fake account creation, collusion fraud, and more. As a member of the product team, this role is an exciting opportunity to collaborate with experienced ML professionals on large-scale projects protecting millions of users.Example ProjectsBuild large-scale graphs of users/listings/transactions, and develop and deploy state-of-the-art graph models for risk/fraud mitigation. Build unsupervised/semi-supervised anomaly detection models to identify emerging patterns with high precision. Implement and compare supervised learning models (GBDT and DNNs), or ensembles of models, to improve key metrics, often with multiple competing objectives.What does the day-to-day look like?Solve customer and business problems (protecting against seller fraud, transactional fraud, account takeover, fake accounts, etc.) using machine learning techniques like deep neural networks, graph ML, and anomaly detection.Take ideas and scale them to millions to users. Develop and implement end-to-end plans, including idea generation, project planning, model development, production model serving, and ownership of model performance.Architect new and improve on existing ML systems, including building data architectures, enabling faster and more robust model development, and improving model serving and orchestration.Conduct A/B experiments to validate the efficiency of ML models and pipelinesCollaborate with team members and cross-team partners for problem identification, technical design/delivery, and product operationalization.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.Qualities that will help you thrive in this role are:You have a Ph.D. degree in a quantitative field (e.g., computer science, industrial engineering, applied math, statistics) and 2+ years of industry experience on ML applications, or a M.S. degree in related fields and 5+ years of industry experience on ML applications.You have focused experience building large scale data infrastructure, especially for graph data processing and storage. You have experience deploying, debugging, and fine-tuning machine learning models in large-scale production systems in public clouds, with experience in Infrastructure as Code.You are comfortable with using GIT, Linux environments, dockers, and other tools for writing robust, production-ready code.Experience building ML models in the fraud/risk management space is a plusGoogle Cloud Platform (GCP) experience is a plusAdditional InformationWhat's NextIf you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.Our PromiseAt Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.",Mid-Senior level,"Senior Machine Learning Engineer I, Risk"
+160,2025-03-22,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
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+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Labeling Platform Team creates data solutions to power groundbreaking research and development during all stages of model training: pretraining, supervised fine-tuning, reinforcement learning, etc. The labeled data that the team produces is used to directly enhance and evaluate the Waymo Driver as well as the vast variety of models that power other parts of the business.You WillBuild a Data Flywheel: Design and implement systems that continuously improve the Waymo Driver. This involves creating a feedback loop where labeled data not only trains models but also informs the next generation of data collection and labeling, leading to iterative improvements in quality and efficiency.Collaborate with ML practitioners on models for perception, behavior prediction and planner to understand their models and help them define data requirement,Develop automation to both produce the labels and/or find problematic label issues within the already produced labeled datasets.Build large scale distributed systems that index and serve the large amount of labeled data to model training pipelines.You HaveBachelor's degree in Computer Science, Engineering, or related field, and 2+ years equivalent experienceExperience in producing and managing large scale ML training datasets.ML Model development experienceExperience in programming C++ or Python.We PreferExperience in developing human + ML interaction schemes to boost productivity and quality of label generation.Experiencing programming using Typescript.Hands-on experience with LLM/GenAI-based products.Experience using open source computer vision models such as YOLO and SAM.This role reports to an Engineering ManagerThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$170,000—$216,000 USD",Entry level,"Machine Learning Engineer, Labeled Data"
+161,2025-01-17,San Francisco,CA,Aura Intelligence,https://www.getaura.ai/,"Aura Intelligence is a premier platform for Organizational Decision Intelligence (ODI). We empower organizations to transform fragmented workforce and competitive data into actionable insights, driving smarter, faster, and more effective decisions. By delivering real-time analysis of hiring trends, workforce dynamics, skills evolution, and competitive benchmarks, we enable consulting firms, private equity, and enterprises to optimize strategies, mitigate risks, and achieve superior outcomes.
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+Founded within Bain & Company and now an independent powerhouse, Aura Intelligence is redefining how businesses leverage workforce analytics to thrive in a rapidly changing world.
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+Learn more at www.getaura.ai.","We are seeking a skilled Machine Learning Engineer to join our growing MLOps team. In our fast-paced startup environment, you'll work closely with our data scientists and data engineers to productionize models and build robust, scalable classification systems. You will have the autonomy to drive the evolution of our ML infrastructure—from development through deployment—and make a direct impact on our product's success.Key Responsibilities:  Develop and Optimize ML Pipelines:Write efficient, clean, and maintainable Python code to implement machine learning pipelines for various classification projects. Ensure these pipelines meet production-grade standards for performance and scalability. Production Deployment:Deploy and optimize diverse classification models—including cross-encoders, bi-encoders, transformers, and custom PyTorch networks—ensuring effective GPU/CPU resource management, memory optimization, and scalability tuning. End-to-End System Ownership:Take full responsibility for deployed ML systems, including incident response, performance monitoring, and ongoing quality maintenance with minimal supervision. Data Integration and Analysis:Collaborate with the data engineering team to analyze model inputs/outputs, validate predictions, and explore potential feature improvements using SQL. MLOps Infrastructure & CI/CD:Build and maintain robust, extensible, and reproducible MLOps infrastructure. Establish and manage CI/CD pipelines, and set up observability for system metrics, logs, and alerts. Collaboration and Continuous Improvement:Contribute to technical design discussions, help break down implementation tasks, and address technical debt as needed. Work cross-functionally with both engineering and data science teams to continuously refine our deployment processes.Day-to-Day WorkYou'll be responsible for implementing and maintaining the classification systems that form the backbone of our data platform. This includes:Translating research models into production-ready codeDeveloping and optimizing inference pipelinesManaging compute resources and scaling solutionsResponding to and resolving production incidentsCollaborating with data scientists to improve model deployment efficiencyWriting and analyzing SQL queries to monitor model inputs/outputs and validate prediction quality. We're looking for someone who can work independently and take ownership while maintaining high standards. You'll have a real impact in shaping our MLOps practices and building scalable ML systems that matter. If you're passionate about turning ML research into production-ready solutions and care about writing quality code, we'd love to hear from you.RequirementsExperience:5+ years of hands-on experience in ML engineering or related roles with a PhD. 7+ years of experience otherwiseStrong expertise in NLP methods and tools (transformers, BERT, GPT, LLM)Proven track record in entity resolution and large-scale data integration challengesExtensive production experience in MLOps (AWS, Snowflake, or similar cloud platforms)Proficiency in Python, PyTorch, TensorFlow, or equivalent ML frameworksPreferred Qualifications Technical Skills:Strong proficiency in Python and production-grade software developmentSolid understanding of GPU acceleration, resource optimization, and scalable ML inference pipelinesStrong SQL skills and experience with data warehousesFamiliarity with AWS (particularly S3) and broader cloud computing concepts DevOps & Testing:Experience setting up observability (metrics, logging, and alerting) for ML systemsProficiency with CI/CD practices and testing frameworks (pytest for unit, integration, and model evaluation testing)Knowledge of version control (Git) and best practices in documentation Problem-Solving & Communication:Excellent problem-solving skills with a proven ability to debug complex production issuesStrong communication skills to effectively collaborate with both technical and non-technical team membersExperience with containerization (e.g., Docker) and orchestration platforms (e.g., Kubernetes)Familiarity with serverless compute platforms (e.g., Modal) and workflow orchestration tools (e.g., Dagster)Knowledge of additional classification models (e.g., XGBoost, FastText) and broader data engineering conceptsUnderstanding of data versioning, experiment tracking, and model registry practicesExperience with observability platforms (e.g., Datadog) and data warehouses like SnowflakeExperience working with LLMs in production",Mid-Senior level,Machine Learning Engineer - MLOps Team
+162,2025-03-31,Annapolis Junction,MD,Interclypse,https://interclypse.com,"Interclypse is a small business headquartered in Annapolis Junction, Maryland, focused on solving complex problems for customers across the US Intelligence Community and customers in the federal and state government and commercial industries since 2007. We combine world-class engineering talent with proven engineering best practices, domain expertise, and a proven agile management methodology to meet our customers' most critical business and mission objectives.  
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+The Interclypse team is on a continuous mission to have a positive transformational impact on society, community, industry, and individuals! Our team accomplishes this mission by continuously ""Doing What is Right."" ","DescriptionInterclypse is seeking Data Scientists.The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career.Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.RequirementsEducationDegree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required.Primary ResponsibilitiesEngage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.To succeed in this position; you need to be curious, creative, and tech-savvy.You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms.You must be persistent and have excellent analytical and problem-solving skills.Devise strategies for extracting semantic value from large datasets.Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions.Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.Required Skills/ExperienceExperience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora)Experience with programming in R, Python, JavaExperience with NoSQL databases ( e.g., MongoDB, Accumulo)Experience designing data models and approachesExperience working in a cloud environment ( e.g., AWS, Azure)Experience with LinuxExcellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levelsAbility to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environmentDesired Skills/ExperienceExperience with programming in TensorFlow, PyTorchExperience with Hadoop, MapReduceExperience with TableauExperience with CognosExperience with designing, implementing, and using REST APIsExperience with RDF/OWL, SPARQL, and Semantic Web technologiesExperience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plusExperience with Data catalogs and data managementAbility to help visualize the data for analysis and to display resultsWhy You Might Like This JobYou’re tired of working for a massive organization.You want to work for an established company that values your stable career.You want to work with a team who loves their job and making cool stuff.You want to be part of a team focused on making a positive impact.You want to grow your skills in management or work toward becoming an expert.You want to have the option for career mentorship, both in technology and in business.You value a company with a strong culture of growth and support.BenefitsEmployee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity.Comprehensive time off and leave programs:31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdaysParental Leave: 40 HoursBereavement Leave: 24 hours.Military Reserve Leave (up to 80 hours, see employee handbook for details).Jury Duty Leave 16 hours.Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximumHealth Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details).Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for familiesVision InsuranceDental Insurance includes orthodontics coverageLife InsuranceAccidental Death and Dismemberment InsuranceDisability: Short-term and long-term disability coverageEducational support: reimbursement up to the federal max of $5,250Company apparel: $200 for company apparel each yearSocial events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and moreInterclypse isn’t your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: ""Doing What is Right"". Apply today to see how you can join our winning team and start down the career path that’s right for you!EOE AA M/F/Vet/DisabilityInterclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate’s experience and education/training, internal peer equity, and market and business consideration.",Entry level,Data Scientist - All Levels
+163,2025-03-26,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize , build, and scale content. It’s a natural extension of the technology Adobe has produced over the past 40 years.At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models and the associated prompt engine. This is an opportunity to reach millions of creatives, helping them recreate the way they work.What You Will Do Develop and optimize machine learning solutions with cutting-edge architectures that impact millions of users across Adobe’s products.  Enhance Firefly’s inferencing pipeline to power generative AI features across multiple platforms, including Firefly Web, Photoshop, Illustrator, Express, and Stock.  Design GPU-optimized, efficient model pipelines that serve diverse modalities such as images, vectors, and 3D assets.  Ensure scalability and reliability of Firefly’s cloud services, incorporating observability, logging, and tracing to enable rapid issue detection and resolution.  Develop key business logic for Firefly services, including usage metering, entitlement checks, quota management, and upsell workflows. What You’ll Need To Succeed PhD or Master’s in Computer Science , Computer Engineering, Computer Vision, Robotics, or a related field—or equivalent experience.  3+ years of hands-on experience developing production-grade machine learning models using PyTorch and Python.  Proven expertise in GPU-intensive ML workloads , including optimization, scaling, and deployment in production environments.  Strong knowledge of model serving and orchestration , including GPU resource management for scalable ML systems.  Deep understanding of Visual Foundation Models (e.g., Transformers, Diffusion) and Multimodal Language Models (e.g., Text-to-Image, Image-to-Text, Text-to-Video), including evaluation methodologies and productization challenges.  Excellent problem-solving skills , with the ability to analyze complex issues and drive solutions with a data-driven approach.  Strong collaboration and communication skills , with a proven ability to work in cross-functional teams. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status.#FireflyGenAIOur compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,"Machine Learning Engineer, Generative AI"
+164,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $173,000-$259,000 annually.Zone B:The base salary range for this position is $164,000-$246,000 annually.Zone C:The base salary range for this position is $147,000-$220,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 4"
+165,2025-02-19,Munich,Bavaria,XPENG Deutschland,https://www.xpeng.com/de,"XPENG is a leading electric vehicle company headquartered in Guangzhou, China with offices in the US and Europe. The company is committed to driving the transformation of smart EVs through technology and shaping the mobility experience of the future. To optimize the mobility experience of its customers, XPENG develops in-house comprehensive technology for advanced driver assistance systems and in-vehicle intelligent operation system, as well as the core systems of the vehicle, including the powertrain and electric/electronic architecture.","XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.We are looking for a full-time Machine Learning Engineer - AI Foundation, with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure for training very large foundation model and accelerating model training/inference. Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.Job ResponsibilitiesDesign, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles. Minimum Skill RequirementsMaster in CS/CE/EE, or equivalent, in industry experience. Good knowledge of PyTorch. Knowledge of model training framework (e.g. PyTorch Lightning) Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models. Experience of using pytorch ddp for distributed training of models. Preferred Skill RequirementsPrevious experience in the autonomous driving industry. Knowledge of Torchscript and Nvidia TensorRT. Being efficiently in solving complex problems collaboratively on larger teams What Do We ProvideA fun, supportive and engaging environment Infrastructures and computational resources to support your work. Opportunity to work on cutting edge technologies with the top talents in the field. Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving Competitive compensation package Snacks, lunches, dinners, and fun activities The base salary range for this full-time position is $148,909 - $252,000 in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.",Entry level,Machine Learning Engineer - AI Foundation
+166,2025-04-07,Fort Lauderdale,FL,INSPYR Solutions,https://www.inspyrsolutions.com,"Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com","Position: Machine Learning EngineerLocation: RemoteDuration: 12 months Compensation: $85/hr. - $95/hr.  Work Authorization: US Citizen, GC Holders or Authorized to Work in the U.S.Job SummaryIn this role you will partner with data scientists and engineers to build and deploy large-scale feature sets for, and collaborate on, a machine-learning model.Responsibilities:Feature engineering and optimization: Acquire new data and conform it to usable model features; develop and maintain pipelines using orchestration and data management tools; develop and deploy scalable streaming and batch data pipelines to support petabyte scale datasets for these features. Model development, deployment and optimization: work together with the data scientists and engineers to build and deploy models in large-scale production environments.Best practices: Maintain existing and establish new development, testing, and deployment standards.Collaboration: identify and define opportunities for data collection, feature development, model development, testing, monitoring, and experimentation..Basic Qualification:Bachelor’s degree in computer science, mathematics, or related fields.5+ years of relevant experienceExperience with data engineering technology and best practicesExperience with building, training, and deploying machine learning modelsExpertise in Python and SQLExpertise in Spark, Snowflake, and dbtExperience working in AWS environmentsExperience working with data subject to privacy, governance, and legal policies.Preferred Qualifications:Proficiency in Databricks and Snowflake in AWS environmentsExperience working in machine learning frameworks such as SparkML, scikit-learn, PyTorch, Keras.Experience with Github, Airflow, Scala, and JavaProficiency in DevOps and CICDExperience with multiple model deployment toolsExperience with MLflow or other tracking toolsExperience working with Agile teamsExperience with data science focused feature storesStrong data analysis and visualization skillsExperience applying mathematical and statistical methods to dataRequired Education:BA/BS Degree Comp Sci/IS/MathOur benefits package includes: Comprehensive medical benefitsCompetitive pay, 401(k)Retirement plan…and much more! About INSPYR SolutionsTechnology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. ",Entry level,Machine Learning Engineer
+167,2025-04-02,New York,New York,Warner Music Group,http://www.wmg.com,"Warner Music Group (WMG) brings together artists, songwriters, entrepreneurs, and technology that are moving entertainment culture across the globe. Operating in more than 70 countries through a network of affiliates and licensees, WMG’s Recorded Music division includes renowned labels such as 10K Projects, 300 Entertainment, Asylum, Atlantic, Big Beat, EastWest, Elektra, Erato, First Night, Fueled By Ramen, Nonesuch, Parlophone, Reprise, Rhino, Roadrunner, Sire, Spinnin’, Warner Records, Warner Classics, and Warner Music Nashville. WMG’s music publishing arm, Warner Chappell Music, has a catalog of over one million copyrights spanning every musical genre, from the standards of the Great American Songbook to the biggest hits of the 21st century. Warner Music Group is also home to ADA, which supports the independent community, as well as artist services division WMX.","Job Description:At Warner Music Group, we’re a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we know that each talent makes our collective bolder and brighter. We are guided by four core principles that underpin everything we do across all our diverse businesses:Music is Everything: Music is our passion, and we can never get enough. Tastes, trends, and tech will change, but great artists and songwriters will always be our driving force.Global Growth, Local Expertise: Music is a global language. Through communication and collaboration, our success can come from anywhere and translate everywhere.Innovation and Insight: Pushing the boundaries requires the best information and the boldest imagination. We use both to create the future.Empowered by People: Like the artists we serve and the music they make, our differences make us stronger. This is a place where every talent can belong and build a career.WMG is home to a wide range of artists, musicians, and songwriters that fuel our success. That is why we are committed to creating a work environment that actively values, appreciates, and respects everyone. We encourage applications from people with a wide variety of backgrounds and experiences.Consider a career at WMG and get the best of both worlds – an innovative global music company that retains the creative spirit of a nimble independent.A little bit about our team:WMG’s Business Intelligence team (BI) works to influence WMG’s strategy and day-to-day operations by developing thoughtful insights & intelligence from its core business practices. The Data Scientist will work with various departments across Warner Music’s Central Functions, Recorded Music, & Music Publishing Divisions to understand the trends and dynamics that drive the constant evolution of our business. Our goal for this role is to strengthen our analytical power and bring improved rigor to the insights we deliver to our family of labels and operators. We work with partners across the company to establish best practices for breaking artists and sustaining catalog repertoire across consumption platforms, gauge the impact of marketing initiatives and campaigns, and work to understand user behavior around the world.Your role:Intelligence is the lifeblood of today’s music business, and in this role you’ll get a chance to apply your creativity and problem-solving skills to help our labels and artists connect with consumers across an array of media and mediums. Because the BI team works closely with departments across the company, the Data Scientist will have the opportunity to see the inner workings and decision-making within a global music company - and the ability to influence those decisions with thoughtful intelligence work. We’re a collaborative team that loves learning new things, sharing ideas, thinking about the future of the music industry – and helping our company get there.Here you’ll get to:Lead data science projects from inception to completion on topics such as consumption and revenue forecasts, digital advertising forecasts, global trends analysis, business performance trends, and more.Apply advanced data analysis and statistical modeling techniques to address complex business challenges. Develop and maintain production-level models, ensuring accuracy and efficiency.Work closely with Business Intelligence, Strategy, Corporate Finance, and operators to understand business needs, and provide actionable insights to a diverse audience across the business.Proactively identify areas where data science can add value by experimenting with different hypotheses and techniques to improve existing processes and techniques within the BI team. Utilize advanced tools and frameworks for data analysis, modeling, and visualization. Promote and participate in a culture of continuous learning within the team by providing feedback, sharing knowledge, and mentoring more junior team members.About you:Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 3-5 years of full-time post-graduation experience in the music, entertainment, sports, or financial services industry. Candidates with a PhD can be considered for this level.Experience and comfort in working with data from globally-trusted third-party sources like the UN, IMF, OECD, and World Bank.Demonstrated ability to lead and execute data science projects with minimal supervision.Proficiency in programming languages such as Python or R for data analysis and model development.Experience with machine learning frameworks and statistical tools.Strong understanding of SQL and working with large datasets.Familiarity with data visualization tools like Tableau or Power BI.Expertise in fundamental data analysis, machine learning, and statistical modeling techniques.Ability to quickly learn and adapt to new techniques and technologies.Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.Strong problem-solving abilities, with a bias towards action and a proactive approach to identifying opportunities and challenges.We’d love it if you also had:Familiarity with the streaming music landscape or other digital mediaExperience building analytical products and dashboards within BI software like Tableau or other environments like Streamlit.About us:As the home to 10K Projects, 300 Elektra, Asylum, Atlantic, East West, FFRR, Fueled by Ramen, Nonesuch, Parlophone, Rhino, Roadrunner, Sire, Warner Records, Warner Classics, and several other of the world’s premier recording labels, Warner Music Group champions emerging artists and global superstars alike. And our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and producers through a catalogue of more than one million copyrights worldwide. Warner Music Group is also home to ADA, which supports the independent community, as well as artist services division WMX. In addition, WMG counts film and television storytelling powerhouse Warner Music Entertainment among its many brands.Together, we are Warner Music Group: Music With Vision & Voice.Love this job and want to apply?Click the “Apply” link at the top of the page, or apply directly with your LinkedIn. Applying with LinkedIn will import all of the information you put in your profile, but will still allow you to upload a resume and cover letter.Don’t be discouraged if you don’t hear from us right away. We’re taking our time to review all resumes, and to find the best people for WMG.Thanks for your interest in working for WMG. We love it here, and think you will, too.andEffective October 1st, this position will require being in the office 4 days a week. We believe that an in-office presence is critical for talent development, collaboration and building strong relationships.Salary Range$150,000 - $160,000 AnnuallySalary ranges are included for job postings where required by law. The actual base pay is dependent upon many factors, such as work experience and business needs. The pay range is subject to change at any time dependent on a variety of internal and external factors.WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law (genetic characteristics or cancer), physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other characteristic protected by applicable federal, state or local law.Copyright © 2025 Warner Music Inc.Links to relevant documents:2025 Benefits At A Glance final.pdfEVerify Participation Poster.pdfRight To Work .pdf",Entry level,Data Scientist
+168,2025-04-07,Remote First,,Coinbase,http://www.coinbase.com,"Founded in June of 2012, Coinbase is a digital currency wallet and platform where merchants and consumers can transact with new digital currencies like bitcoin, ethereum, and litecoin. Our vision is to bring more innovation, efficiency, and equality of opportunity to the world by building an open financial system. Our first step on that journey is making digital currency accessible and approachable for everyone. Two principles guide our efforts. First, be the most trusted company in our domain. Second, create user-focused products that are easier and more intuitive to use.","Ready to be pushed beyond what you think you’re capable of?At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. We're seeking Machine Learning Engineers to revolutionize how we optimize our operations using ML and GenAI. This is a unique opportunity to apply the latest advances in ML and GenAI to real-world problems that directly impact millions of users and the future of digital finance.Our AI teams are dedicated to building intelligent systems that protect our platform while ensuring a seamless experience for legitimate users. We are transforming traditional tasks such as manual document review and risk assessment into an automated, scalable system powered by state-of-the-art machine learning.What you’ll be doing (ie. job duties):Hands-on develop, productionize, and operate Machine Learning models and pipelines at scaleContribute to our ML models and work at the intersection of Blockchain and AI technologiesWork with our senior engineers and collaborate with our product partners to identify and solve new use cases for ML on blockchain What we look for in you (ie. job requirements):2+ yrs of industry experience as a Machine Learning EngineerM.S in ML/CS/EE or BS with equivalent ML experienceSolid software engineering skillsSolid foundation in modern ML techniques (e.g., DNNs, transformers, LLMs, classification)Experience with coding on ML platforms (e.g., Tensorflow, PyTorch)Willingness to learn and adapt to new technologies and challengesNice to Have:Knowledge of crypto/blockchain technology Job ID: GPML04US*Answers to crypto-related questions may be used to evaluate your onchain experience. Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).Pay Range: : $152,405 USD - $179,300 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.Commitment to Equal OpportunityCoinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view the Know Your Rights notice here.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.      ",Entry level,Machine Learning Engineer - (Platform)
+169,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
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+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
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+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+170,2025-03-24,Ridgefield Park,NJ,Samsung Electronics America,http://www.samsung.com/us/,"Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays.
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+We’re committed to keeping co-prosperity at our core through creating human-centric innovation, empowering the next generation and serving the communities where we live and work. As an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, SEA is dedicated to positively impacting the environment through its eco-conscious products, practices and operations. ","Position SummarySamsung Ads is a rapidly growing advanced advertising technology company that focuses on enabling advertisers to connect with audiences through Samsung devices as they are exposed to digital media. We use the industry’s most comprehensive data to build the world’s most innovative advertising platform. Being part of an international company such as Samsung and doing business worldwide means that we get to work on big, complex projects with stakeholders and teams located globally.We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads.At Samsung Ads, we actively explore the latest machine-learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a broad spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. A unique learning culture and a creative work atmosphere will welcome you. This is an exciting and unique opportunity to get deeply involved in envisioning, designing, and implementing cutting-edge machine learning products with a fast-growing team.Location: Mountain View, CAResponsibilitiesRole and ResponsibilitiesLead and deliver production-grade machine learning products from end to end, making Samsung Ads a key player in the mobile ads market.Design, develop, and deploy state-of-the-art, scalable machine learning models to achieve various optimization goals, such as ads click-through rate (pCTR), app-install optimization, return on ad spend (ROAS) optimization, retention, etc.Research the latest machine learning technologies and industry trends, quickly create prototypes of new ML solutions, and deploy these solutions into production.Analyze complex problems involving massive advertising data, identify gaps, and propose and execute technical solutions.Work closely with internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.Collaborate with cross-functional partner teams in global settings to deliver new ML features and solutions that achieve business objectives.Mentor junior engineers and provide technical guidance.Learn quickly and adapt to a fast-paced working environment.Skills And QualificationsExperience RequirementsMaster’s or PhD degree in Computer Science or related fields.4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.Solid theoretical background in machine learning and/or data mining.Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).Hands-on experience with production-grade machine learning solutions.Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).Extensive programming experience in Python, Go, or other OOP languages.Familiarity with data structures, algorithms, and software engineering principles.Proficiency in SQL and databases.Strong communication and interpersonal skills to drive cross-functional partnerships.Preferred Experience RequirementsPublications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).Basic knowledge about Amazon Web Services (AWS).Experience with the advertising industry and real-time bidding (RTB) ecosystem.The salary range for this role, for candidates based in California, is expected to be between $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.Reasonable Accommodations for Qualified Individuals with Disabilities During the Application ProcessSamsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.",Entry level,Samsung Ads - Machine Learning Model Engineer
+171,2025-04-02,Richfield,Minnesota,Best Buy,http://jobs.bestbuy.com,"At Best Buy, our purpose is to enrich lives through technology. We do that by leveraging our unique combination of tech expertise and human touch to meet our customers’ everyday needs, whether they come to us online, visit our stores or invite us into their homes. With over 1,000 stores and more than 90,000 employees in the United States and Canada, we solve key human needs in the areas of productivity, security, health, entertainment, connectivity, and more.
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+We’re a community of courageous change-makers, ambitious collaborators, and inspiring friends. Whether it’s working as a Geek Squad Agent, an in-store advisor, or in our corporate office, we offer each other support and prepare for what might come next.
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+We wake up every morning so we can do our part in shaping the future of a changing world. Together, we raise the bar for what’s possible and dream up new solutions to problems we’ve never encountered. We master innovative skills that we didn’t know were within grasp and turn everyday interactions into human connections built to last.
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+If change motivates you, if technology inspires you — we’re here for you. Tomorrow works here™.","As a Lead Machine Learning Engineer, you’ll be leading technical efforts to research, develop, and applying cutting-edge machine learning systems to build innovative technologies, services, and products that solve the company's hardest problems and accelerate Best Buy's core growth. In this role you will combine your leadership skills with strong software engineering expertise and deep knowledge of ML and AI algorithms to lead technical efforts to architect, develop, and operationalize models, algorithms, and production quality codebases that form the core engines that unleash the next generation of customer experiences and transform the way Best Buy operates day-to-day.This role is hybrid, which means you will work some days on site at a Best Buy location and some days virtually at home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.For this role, you must be located within a drivable distance to our office in Richfield, Minnesota, Atlanta, Georgia or Seattle, Washington.What You’ll DoLeading the design and development of ML solutions as services Mentoring and coaching junior ML Engineers leveraging state-of-the-art machine learning techniques Partner with global cross-functional teams including AI, data, platforms, products, analytics, business and complianceApplying software engineering skills to lead development and deployment of solutions that can scale to millions of requests per second with millisecond latency Work through complex technical and business problems in high pressure scenarios, connecting the larger enterprise goals to teams’ tactical deliverablesBasic QualificationsBachelor’s degree in a highly quantitative field (computer science, engineering, physics, math, operations research or related) or equivalent relevant professional experience6 years of experience building and operationalizing ML/AI products3 years of MLOps or AIOps experience, operationalizing real-time ML/AI models with ultra-low latency and high throughput as resilient, scalable, cloud native services3 years of experience leading end to end design reviews, code reviews and deployment patterns for critical AI applications in one or more of Gen AI, supervised learning, unsupervised learning and reinforcement learning domains3 years of experience with Google Cloud Platform (GCP), building and maintaining ML/AI solutions with production grade pipelinesExpert level understanding of Python ecosystem and common AI/ML frameworks (LangChain, TensorFlow, PyTorch, scikit-learn, Seldon-Core)Expert level coding expertise in Python and SQLExpert level knowledge of MLOps/AIOps concepts and CI/CD pipelinesPreferred QualificationsMaster’s degree or PhD. in a highly quantitative field (computer science, engineering, physics, math, operations research or related) or equivalent relevant professional experienceMulti-cloud and multi-region integration experienceExperience building production grade ML models using one or more Deep Learning frameworks like TensorFlow, PyTorch, JAX or ONNExperience with one or more CI/CD, MLOps, DataOps and Orchestration platforms like KubeFlow, Prefect, Apache Airflow, MLFlow, or Argo for end-to-end model building, training, serving and monitoringOpen-source contributions or robust GitHub portfolioWhat’s In It For YouWe’re committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life.Our Benefits IncludeCompetitive payGenerous employee discountPhysical and mental well-being supportAbout UsAs part of the Best Buy team, you’ll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life — in our stores, online and in customers’ homes.Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We’re committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™Best Buy is an equal opportunity employer.Position Type: Full timePandoLogic. Keywords: Anti Money Laundering Manager, Location: Minneapolis, MN - 55423",Not Applicable,Machine Learning Engineer
+172,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+173,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+174,2025-01-08,,,Pointer Technologies,https://pointer-tech.com/,Pointer Technologies provides mission specific software services aimed at solving our nations toughest technical problems.,"Pointer Technologies is seeking a talented and passionate Software Engineer specializing in Artificial Intelligence and Machine Learning (AI/ML) to join our team. You will collaborate with cross-functional teams to solve challenging problems, develop robust software systems, and deploy AI-powered features into production.The ideal candidate will have a broad technical background, and the ability to design, build, and deploy scalable AI/ML models that align with our mission. This person is diligent, works well with others, inspired to learn, driven by mission and practices effective communication.ResponsibilitiesDevelop and optimize machine learning models for real-world and national security and defense applicationsBuild and maintain scalable data pipelines for model training and deploymentCollaborate with product, engineering, and data teams to understand requirements and translate them into actionable solutionsConduct research to explore new AI/ML techniques and stay updated on the latest industry advancementsEvaluate model performance, troubleshoot issues, and fine-tune solutions for optimal resultsWrite clean, maintainable, and well-documented codeRequirementsBachelor’s or Master’s degree in Computer Science, Machine Learning, or a related fieldStrong proficiency in programming languages like Python, R, or Java, with expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of algorithms, data structures, and statistical methodsExperience building and deploying machine learning models into production environmentsKnowledge of cloud platforms such as AWS or Azure for AI/ML workflowsFamiliarity with data wrangling, ETL pipelines, and big data tools (e.g., Spark, Hadoop)Nice To HaveExperience with specific AI domains, such as natural language processing (NLP), computer vision, or reinforcement learningUnderstanding of MLOps principles and tools like MLflow or KubeflowContributions to open-source AI/ML projectsPublished research or patents in the AI/ML spaceTechnical leadership experienceClearanceTS/SCI clearance with polygraph requiredAbout UsPointer Technologies is Mission Forward and Employee Owned.We leverage talented engineers and effective technologies to drive success in our nation’s National Security and Intelligence missions. We enable our nation to be capable, modernized, and anticipatory for the fight ahead - seen or unseen.Here are some of our core values:Employee OwnershipAt Pointer Technologies, all employees are eligible to be granted stock, making them a shareholder in the business. We want our employees to be as invested in our success as we are in theirs, and we believe that generously giving our employees a piece of the pie will encourage this. At Pointer, our employees are not only the foundation of our success - they get to share in our success.TransparencySince every employee at Pointer Technologies is a shareholder, we have an open book policy with our team. We hold quarterly all hands meetings where the business reports its contracts portfolio, growth strategy, and even financial health and projections with all employees.TalentAt Pointer Technologies we don't just hire anybody - top tier talent is part of our brand. New candidates will face technical screenings to verify that they uphold our technical standards. Anybody who is offered a position at Pointer can know that they have earned the right to be a part of our team.Meaningful WorkAt Pointer Technologies we support work that is impactful to our nation’s National Security and Intelligence missions. Every single member of the Pointer Technologies team takes pride in knowing that the work that they do matters, and that it is making a positive and meaningful impact on our success as a nation.BenefitsHealth Insurance through Blue Cross Blue ShieldDental, vision, long-term & short-term disability and life insurance10% 401K matching with immediate vesting248 hours of PTO with the ability to flex higher or lowerEducation and training budget of $5,250Paid military leavePaid maternity leaveInternal referral profit sharingEmployee Equity ProgramQuarterly all hands to promote transparencyPaid company lunchesCulture building events and partiesThe best company swag around*Learn more and find additional details on our benefits page.______Pointer Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other state or federal legally protected status.Powered by JazzHRe8ubWRShjc",Entry level,AI/ML Software Engineer
+175,2025-04-01,San Francisco,CA,Material Security,https://material.security/,"Material Security is an automated detection and response toolkit for Google Workspace and Microsoft 365, combining email security, data security, identity protection, and configuration management in a single platform.","As a Machine Learning Engineer at Material Security, you'll be part of a team of experienced, world-class engineers, working to protect our users and their privacy (e.g., inboxes from breaches, targeted phishing, fraud, and lateral account takeover). Your mission is to build, deploy, and maintain high quality models that detect security relevant data and behavior (phishing emails, sensitive data in email and drives).ResponsibilitiesDesign, build, train, and deploy machine learning models to detect sensitive data and malicious threats (phishing emails). Write production-level code to convert your ML models into working pipelines and participate in code reviews to ensure code quality and distribute knowledge. Architect scalable, reliable, and maintainable machine learning pipelines, integrating seamlessly with existing backend systems. Work closely with machine learning engineers, product managers, designers, data scientists, and software engineers to align machine learning initiatives with business goals. Stay ahead of the curve by exploring new algorithms, technologies, and frameworks to enhance our detection models. Contribute to great engineering culture through active participation and mentorship. What We’re Looking ForMust HavesB.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience. 8+ years (or Ph.D. with 6+ years) of experience in machine learning, data science, or related fields, with at least 3 years in a senior or staff engineering role. Deep understanding of supervised/unsupervised learning techniques and LLMsStrong experience writing efficient and effective data pipelines. Practical knowledge of how to build efficient end-to-end ML workflows and a strong drive to won the entire process of model development from conception through deployment, to maintenance.. Experience with machine learning libraries (e.g., scikit, Pandas)Nice to HaveExperience in API development on top of a fast APIExperience tracking text embedding modelingStrong knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes). –Material Security is a remote-first workplace with an office in San Francisco, California.By clicking ""Apply for this Job"", you acknowledge that you have read the California Candidate Privacy Notice Regarding Use of Personal Information and hereby agree to its terms.Compensation at Material Security is determined by a range of factors, including but not limited to the individual’s particular combination of knowledge, skills, competencies, and experience. The projected compensation range for this position is $200,000 - $240,000.",Entry level,Machine Learning Engineer
+176,2025-04-08,Singapore,,Crypto.com,https://www.crypto.com,"Crypto.com was founded in 2016 and is the preferred crypto trading platform for over 100 million users worldwide, as well as the trusted industry leader in regulatory compliance, security, and privacy. We’re committed to accelerating the adoption of cryptocurrency through our vision: Cryptocurrency in Every Wallet™","We are seeking a dynamic Growth Data Scientist/Analyst to join our Growth team. The successful candidate will be instrumental in leveraging data to drive strategic decisions, optimize growth initiatives, and enhance user acquisition strategies.ResponsibilitiesDevelop and maintain acquisition and engagement (e.g. influencer/affiliate, organic, VIP, , paid acquisition etc.) dashboards to monitor user growth and campaign effectivenessAssist in building predictive models to guide strategic decisions on acquisition and engagement, encompassing time series, predictive analytics, and recommender systemsAnalyze data to derive actionable insights that drive business decisions and performance improvementsAutomate repetitive tasks and data processes to enhance team efficiencyCollaborate with cross-functional teams to support data-driven decisions and project implementationsEngage in continuous learning to stay ahead of industry trends and leverage new tools and techniques in data analysisRequirementsBachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, or related fieldsUp to 3 years of experience in data analysis or a related field. Experience in the crypto industry is a plusFamiliarity with User Acquisition (UA) and/or Customer Relationship Management (CRM) concepts is advantageousProficiency in SQL and familiarity with data visualization tools like TableauExperience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing dataStrong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracyAdept at queries, report writing, and presenting findingsKnowledge of acquisition campaign platforms and tools such as Appsflyer, SensorTower, or similar platformsExcellent verbal and written communication skills",Not Applicable,Growth Data Scientist/ Analyst
+177,2025-03-20,Bethesda,MD,Lockheed Martin,https://www.lockheedmartin.com,"The world relies on what we do. 
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+Headquartered in Bethesda, Maryland, with offices across the U.S. and around the globe, our team delivers solutions that strengthen national security, shape industries and push engineering  and technology to new levels. We collaborate to win. We put our customers first. And we perform with excellence.
+
+The best careers are built at Lockheed Martin. Join us.","Basic Qualifications Bachelor's degree and 2 or more years of professional experience Demonstrated proficiency with at least one modern software language such as C++, C, C#, and/or Java (Preferably C++) Experience with one or more of the following: Python, JavaScript, HTML and Cascading Style Sheet (CSS) Experience with Red Hat Enterprise Linux (RHEL) Proficiency in a Git Version Control SystemJob Code/TitleE1072:Software EngineerJob DescriptionWhat We're DoingAt Lockheed Martin, we are passionate about innovation and integrity. We believe that by applying the highest standards of business ethics and forward-thinking, everything is within our capacity – and yours as a Lockheed Martin employee.Here at Lockheed Martin, we are working on many exciting programs and developing cutting edge products and applications to meet the complex and evolving needs of our customers. We are looking for talented software engineers to join our team, working with other engineering disciplines to help develop best-in-class products and solutions.This position is for a Software Engineer to support training systems development. The successful candidate will be flexible, motivated, dedicated, detail-focused, team oriented, and capable of multi-tasking.This position is located in Hurlburt Field, FL at the Rotary and Mission Systems (RMS) Training and Logistics (TLS), Keeping up-to-date on emerging technologies and tools will be encouraged. We offer a continuous learning environment with strong career growth and advancement opportunities over the long-term.The WorkAs a member of our Software Engineer team you will: Develop software solutions for flight simulators Integrate new technologies into various systems Support analysis of requirements, design, test and implementation of real-time softwareWho We AreWe are a collaborative team of software engineers and interdisciplinary subject matter experts dedicated to analyzing and documenting software requirements in order to design, develop, and integrate training systems solutions. We create unparalleled readiness today and into the future, no matter what the mission may be here at Lockheed Martin Rotary and Mission Systems. Who You AreYou thrive in a collaborative, multidisciplinary engineering environment and are committed to delivering best-in-class products and solutions.A level 2 employee is typically early career-level and has 2 or more years of professional experience. Why Join UsJoin us if you are passionate about saving lives through mission readiness. Be a part of a team that values speed, agility, affordability, and disruptive technologies.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship.Desired Skills Software development in C/C++ in a Linux environment Experience with JIRA and Confluence Continuous integration/ Continuous deployment (CI/CD) experience with Gitlab Experience with Vue Java Script (VueJS) Experience with Fortran and/or Ada Automation with Ansible Experience with any of the following: flight simulation, aerodynamics modelling, weapons, avionics, electronic warfare, radar Active DoD Secret ClearanceOther Important InformationBy applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Ability to work remotelyOnsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.Select the Telework classification for this positionEmployee will work on-site full-timeAbility to TelecommuteNo telecommutingShiftFirstWork Schedule InformationLockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.Work ScheduleNon- standard 40 hour work week as assigned by leaderSecurity Clearance InformationThis position requires a government security clearance, you must be a US Citizen for consideration.Security ClearanceSecretLMCareers Business UnitRMSProgramAir Force Special Operations Command (AFSOC) Air Commando Training Support (ACTS)DepartmentXO1T2B:TLS IE ACS OffsiteJob ClassSoftware EngineeringJob CategoryExperienced ProfessionalCity, StateHURLBURT FIELD-FLCityHURLBURT FIELDZip32544VirtualnoRelocation/Housing Stipend AvailablePossibleReq TypeFull-TimeDirect/IndirectDirect At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.EEOLockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.National Pay StatementPay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $73,400 - $129,260. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.This position is incentive plan eligible.Premium Pay StatementPay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $84,300 - $146,165. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.This position is incentive plan eligible.",Entry level,Software Engineer / Early Career-Level
+178,2025-04-08,London,England,Hamlyn Williams,https://www.hamlynwilliams.com,"Placing Talent that Makes A Difference. 
+
+Talent attraction and retention are critical to our client’s success; Hamlyn Williams’ mission is to support and enable this through the delivery of high-quality staffing solutions.
+
+Founded in 2011, we are a global organisation with local offices across North America and Europe, and over 160 colleagues. We cover the Financial Services, Cyber Security, Professional Services, Technology, Life Sciences and Manufacturing industries. 
+
+Our people are ambitious, we persevere for our customers success, and work with pride. We are investing in our people strategy and have recently relaunched the Hamlyn Williams way (HW way) and Career Pathway, your route to success. There has never been a better time to join Hamlyn Williams. 
+
+Visit www.hamlynwilliams.com for more information.","As a Machine Learning Engineer, you will develop, implement, and optimize machine learning models to analyze complex biological datasets, enhance drug discovery pipelines, and improve diagnostic tools. You will work closely with data scientists, biologists, chemists, and software engineers to integrate AI-driven solutions into our research framework.Key ResponsibilitiesDevelop and deploy machine learning models for biological and biomedical data analysis.Work with large-scale genomic, proteomic, and clinical datasets to extract meaningful insights.Design and optimize deep learning architectures for applications such as drug discovery, medical imaging, and biomarker identification.Collaborate with domain experts to refine algorithms and ensure their applicability to biotech challenges.Implement scalable ML pipelines for data preprocessing, model training, and inference.Stay up to date with the latest advancements in AI and biotechnology and integrate best practices into research workflows.Contribute to the development of software tools and frameworks for machine learning applications in biotech.QualificationsRequired:Master’s or Ph.D. in Computer Science, Machine Learning, Bioinformatics, Computational Biology, or a related field.Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Experience with deep learning architectures (CNNs, RNNs, Transformers) and probabilistic models.Solid understanding of biological data types (genomic sequences, protein structures, medical imaging, etc.).Experience with cloud computing platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).Strong problem-solving skills and the ability to work in a multidisciplinary team.Preferred:Familiarity with drug discovery, systems biology, or computational chemistry.Knowledge of graph neural networks, reinforcement learning, or generative models for molecular design.Experience with big data technologies (Spark, Dask, Hadoop) for handling large-scale biological datasets.Publications or projects in AI-driven biotech applications.",Mid-Senior level,Machine Learning Engineer
+179,2025-03-28,,,Key Technology,www.key-technology.co,"Key Technology is part of the KTS Group, a well-established name in the recruitment sector, originally founded in 1978 in the UK and since expanding into multiple markets globally, driven by a laser focused niche, specialist approach and underpinned by the values of trust, fairness, and hard work.","🚀 Applied Machine Learning Engineer – AI Startup | Hybrid (SF) 📍 San Francisco | 🧠 AI x Real-time Collaboration | 💼 Full-timeWe’re partnering with a fast-growing AI startup building real-time tools that supercharge sales teams using LLMs and automation.They’re hiring their first ML Engineer to design and deploy models powering features like real-time audio detection, GPT-based playbooks, and predictive conversation flows.You might work on: 🎧 Real-time voice classification (human vs. voicemail vs. IVR) 🧠 LLM-powered smart funnels & sales playbooks 🔁 Predictive call modeling & conversation embeddingsWhat they’re looking for: ✅ 3+ years total experience (2+ in production ML) ✅ Strong Python/PyTorch skills ✅ Exposure to LLMs, audio ML, or few-shot learningPerks: 🏢 Hybrid (SF office) | 🌍 Visa support available ⚙️ Stack: Transformers, LLMs, PyTorch, KubernetesSound interesting? Apply today!",Mid-Senior level,Machine Learning Engineer
+180,2024-12-26,Pleasanton,California,XOPS,https://www.xops.io,"We believe in ITOps teams. 
+
+Processes are broken, not people. We clean up the chaos with observability and runbook automation built for ITOps. Merged into a single modern platform, working together to help your team visualize, automate, and manage the complete employee lifecycle. 
+
+Leave the boring work to the software.","XperiencOps Inc. is seeking a talented and experienced Machine Learning Engineer with expertise in graph databases to join our innovative team. As a Machine Learning Engineer, you will play a crucial role in developing and implementing machine learning models and algorithms that drive actionable intelligence.In this role, you will collaborate with cross-functional teams to analyze complex data sets, design and develop machine learning models, and build scalable solutions. You will also be responsible for optimizing and maintaining graph databases, to ensure high performance and efficient data retrieval.Responsibilities:Design, develop, and implement machine learning models and algorithms that leverage graph databases, to solve complex business problemsAnalyze and interpret complex datasets to extract meaningful insights and patterns. Collaborate with cross-functional teams to define project requirements and objectivesOptimize and maintain graph databases, focusing on performance and data retrieval efficiencyEnsure the quality and reliability of machine learning models through rigorous testing and validationStay updated with the latest advancements in machine learning and graph databases and incorporate them into our products and solutionsProvide mentorship and guidance to junior machine learning engineersDocument and communicate research findings, methodologies, and results to internal and external stakeholdersRequirementsPh.D. in Computer Science with expertise in Machine Learning, Graph Theory, and related fields5+ years of experience in designing and implementing machine learning models and algorithms, with a focus on graph analyticsExpertise in graph databases, Neo4j preferred, and their query languages (e.g., Cypher)Proficiency in programming languages such as Python or R, as well as machine learning frameworks like TensorFlow or PyTorchStrong understanding of statistical modeling and data analysis techniquesExperience with big data processing frameworks (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS) is a plusExcellent problem-solving and analytical skillsAbility to work on complex problems and deliver innovative solutionsExcellent communication and collaboration skillsBenefitsOpportunity to work on cutting-edge products and make a real impactCollaborative and fast-paced work environmentChance to be part of a rapidly growing startupCompetitive salary and benefits package (health insurance, dental insurance, vision insurance, paid time off, etc.)",Mid-Senior level,Machine Learning Engineer
+181,2025-02-11,Palo Alto,California,Inference.ai,https://www.inference.ai/,The AI compute ecosystem for future leaders: Inference.ai enables flexible allocation of virtualized GPUs to different tasks and containerized workflows.,"The RoleWe are seeking an experienced Machine Learning Engineer to lead a live, virtual course on Machine Learning. This role requires just 2 hours per week of live instruction, plus minimal time for class preparation since we have an existing framework. The ideal candidate is passionate about teaching, enjoys mentoring aspiring ML professionals, and has hands-on experience deploying machine learning models in production.ResponsibilitiesTeach a live, virtual Machine Learning course for 2 hours per week.Deliver engaging, real-world insights based on your industry experience.Guide students through practical ML concepts, algorithms, and real-world applications.Answer questions, provide mentorship, and support students in their learning journey.Who You AreIndustry Expert: You have 3+ years of hands-on experience as a Machine Learning Engineer or AI Specialist at a top-tier tech company (FAANG or research labs preferred).Passionate Educator: You enjoy sharing knowledge, mentoring others, and breaking down complex ML concepts into digestible lessons.ML Skills: Strong knowledge of supervised/unsupervised learning, deep learning, MLOps, model deployment, and frameworks.Effective Communicator: You can explain ML concepts clearly to a range of learners, from beginners to experienced engineers.Nice-to-HavesExperience in teaching, mentoring, or public speaking.Why Join Us?Flexible & Low Commitment: Just 2 hours per week with minimal prep time.Impactful: Help shape the next generation of ML engineers.Competitive Pay: Earn industry-leading compensation for a part-time role.",,Machine Learning Engineer
+182,2025-03-20,St Petersburg,Florida,EVONA,http://www.evona.com,"We believe in the evolution of knowledge and the progression of people - it is so core to our business, it's the meaning of our name: EVO - to evolve, ONA - people. ​
+
+EVONA Group brings together pioneering talent solutions for today’s most ambitious companies, with a suite of services designed to meet the unique demands of space, defense, and deep tech.
+ 
+FRACTION - www.evonafraction.com - connects VCs, PEs, and founders with fractional executives, bringing high-impact expertise exactly when it’s needed. 
+
+GRAM PARTNERS - www.grampartners.com -  is our white-glove executive search and consulting service, led by former SpaceX and Apple executives, delivering unmatched precision in high-level talent acquisition. 
+
+EVONA - www.evona.com -  is the original, award-winning subscription and direct hire service for VP, director, management, and individual contributor roles, trusted by top companies for a seamless recruitment experience.
+ 
+Our platforms empower you to source talent independently or access curated executive search expertise – and we’ve built a following you can leverage to drive your mission forward.
+
+Call on: +1 202-381-9944 (US) or +44117 2034444 (UK)","Machine Learning EngineerThe Machine Learning Team is focused on developing and implementing advanced machine learning algorithms to solve complex problems in the evolving space economy. These efforts span various domains, including Computer Vision, Edge Processing, Data Fusion, and probabilistic statistical modeling.As a Machine Learning Engineer, you will enhance existing capabilities, incorporate the latest research, implement state-of-the-art algorithms, productionize models, create MLOps solutions, and work with end-users to deploy innovative systems.Key ResponsibilitiesDesign, develop, and validate reliable and scalable algorithmic solutions.Research and implement cutting-edge algorithms for challenging space-based applications.Optimize the runtime performance of existing implementations.Collaborate with end-users and partners in a team-focused, innovative environment.Integrate current and future machine learning solutions into production pipelines.Contribute to team discussions and provide insights to drive innovation across multiple related projects.QualificationsMinimum RequirementsBachelor’s or Master’s degree in Data Science, Machine Learning, or a related technical field, or 4+ years of relevant professional experience.Strong programming skills in Python.Proficiency with one or more of the following frameworks: PyTorch, TensorFlow, JAX.Solid understanding of linear algebra, calculus, statistics, and machine learning principles.Hands-on experience in developing advanced machine learning applications.Proficiency in data analysis, engineering, and exploration techniques.Excellent problem-solving, critical thinking skills, and strong engineering fundamentals.Ability to communicate complex algorithms and concepts effectively.Strong oral and written communication skills.Experience with Linux and shell command-line tools.Willingness to travel for collaboration across teams.Flexibility to work extended hours or weekends occasionally, if necessary.Eligibility to obtain a Secret or TS/SCI security clearance.Preferred Skills and ExperienceProgramming skills in C++.Experience productionizing machine learning solutions.Experience working in cloud environments (AWS, GCP, Azure).Knowledge of areas such as computer vision, uncertainty quantification, signal processing, computational physics, and time series analysis.Familiarity with platforms like Kubeflow, Blender, or Nvidia Omniverse.Additional RequirementsThis role may involve access to technology and software subject to U.S. export controls. Applicants must meet export control compliance criteria, including being a U.S. citizen, lawful permanent resident, refugee, or asylee, or be eligible for required U.S. Department of State authorizations.BenefitsHealth Insurance: Comprehensive medical, dental, and vision coverage.Retirement Plans: Access to a 401(k) plan.Paid Time Off: Generous vacation, personal days, and holidays for a healthy work-life balance.Professional Development: Access to training, workshops, and courses to foster career growth.Team Building: Regular social events, team outings, and company-sponsored activities.Diversity and Inclusion: A welcoming and equitable work environment supported by dedicated initiatives.About UsWe are a forward-thinking company dedicated to shaping the future of space exploration and operations. Our work includes designing cutting-edge spacecraft for space transport, orbital debris removal, and Space Domain Awareness (SDA) to support current and future space missions. We aim to deliver high delta-V per dollar to maximize cost-efficiency in space transportation. Our past successes include the launch of our first satellite in mid-2023, with additional missions planned for 2025.Apply now to join a collaborative and innovative team driving the future of space technology.",Mid-Senior level,Machine Learning Engineer
+183,2025-03-26,Atlanta,Georgia,Tech 42,https://www.tech42consulting.com/,"At Tech 42, we meet you where you're at in your Data and AI/ML journey. From just getting started to scaling existing systems, we can help you take the next step. As an AWS Partner, we have access to the AWS network and can help you deploy workloads on AWS.
+
+Every company has unique needs. We meet with you to understand how your business works, and work backwards from there to develop a data or AI/ML solution that fits your company. ","About the JobTech 42 is a leading AWS Partner based in Atlanta, Georgia, specializing in cutting-edge data, machine learning, and artificial intelligence solutions. As an Advanced Tier AWS Partner, we excel in helping businesses accelerate their AI journey from concept to production scale. Our team of experts is dedicated to understanding our clients’ unique business objectives and designing practical, innovative solutions that deliver measurable results. At Tech 42, you’ll have the opportunity to work on a diverse range of projects, including AI and ML solutions, cloud architecture design, data engineering, and security and compliance. Join us in our mission to empower companies to scale and thrive in the rapidly evolving world of AI and machine learning, creating impactful solutions that drive business success.We are seeking an experienced AWS Machine Learning (ML) Engineer to join our team and help us build cutting-edge AI solutions for our clients. In this role, you will leverage your deep expertise in Amazon Web Services (AWS) with a focus on AI/ML solutions, including Amazon Bedrock, Sagemaker, Retrieval-Augmented Generation (RAG), and fine-tuning large language models (LLMs). You'll be instrumental in designing, developing, and deploying impactful AI and agentic workflows within scalable AWS infrastructure while directly engaging with clients to understand and address their unique needs. Join a dynamic team committed to pushing the boundaries of AI/ML innovation.What You'll Be DoingDesign, develop, and deploy AI/ML solutions using AWS, with a focus on Amazon Bedrock, Sagemaker, and related AI services, ensuring high performance and scalability.Implement and optimize Retrieval-Augmented Generation (RAG) systems to unlock enhanced AI capabilities for various client applications.Implement AI-powered document processing and workflow automation, demonstrating your knowledge in automating structured and unstructured data pipelinesFine-tune large language models (LLMs) for specific business use cases, tailoring models for optimal performance and accuracy within the client's domain.Build and optimize agentic workflows to enable dynamic, task-driven AI agents, streamlining complex processes and automating intelligent decision-making.Architect scalable, secure, and cost-effective AI infrastructure on AWS, ensuring compliance with best practices and optimizing resource utilization.Work closely with clients to understand their requirements and deliver tailored AI solutions that directly address their business challenges.Stay up to date with the latest trends and advancements in AI/ML and AWS technologies, continuously learning and applying new knowledge to improve our solutions.What We Need To SeeStrong understanding of the ML fundamentals and experience with designing end-to-end ML pipelines, from data ingestion to model deployment.Solid knowledge of Retrieval-Augmented Generation (RAG), document processing, LLM fine-tuning techniques, including practical experience in implementing and optimizing these technologies.Experience with text/image embedding and working with vector databases to store vectors such as Pinecone, Weviate or OpensearchExperience in AWS infrastructure and services, including Lambda, Step Functions, ECS, SageMaker, Bedrock, Opensearch, showcasing your ability to build and manage complex cloud environments.Experience with libraries such as scikit-learn, statsmodels, PyTorch, Langchain, LangGraph, Langfuse, demonstrating your proficiency in utilizing these tools to develop and deploy AI/ML solutions.Experience in PythonExperience working in a client-facing role, managing technical discussions, and ensuring client satisfaction, demonstrating your ability to build strong client relationships and deliver high-quality solutions.Ways To Stand Out From The CrowdAWS certifications (e.g., AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect), demonstrating your commitment to continuous learning and professional development.Experience with agent-based AI systems and workflows, showcasing your ability to design and implement intelligent, task-oriented agents.Experience with designing full-stack GenAI applications, including frontend development, showcasing your ability to build complete and user-friendly AI solutions.Experience in Javscript or another similar programming languageBenefitsInsurance - medical, dental, vision (US based)15 days of PTOs + 8 company holidaysPerformance based bonus available",,Machine Learning Engineer
+184,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.Responsibilities - What You'II Do Build industry-leading recommendation system, improving user experience, content ecosystem and platform security; Deliver end-to-end machine learning solution to address critical product challenges; Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.QualificationsMinimum Qualifications Bachelor degree or above in computer science or a related major, with 2+ years of related work experience; Strong software development experience with C++, Python or other programming language; Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product; Strong communication and teamwork skills; Passion about techniques and solving challenging problems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, TikTok Social Recommendation"
+185,2025-03-18,Las Vegas,Nevada,The Venetian Resort Las Vegas,https://vrlv.com/Careers,"The Venetian® Resort Las Vegas is
+an important part of our global company, and
+a standard of luxury and service in the industry.
+We provide the best benefits, opportunity for
+advancement, and the greatest professionals
+with which to work.
+
+Our company culture is the result of our
+commitment to our guests, our Team Members,
+and our community. We are the world’s largest
+integrated resort, and our people make it the
+most successful as well.
+","Position OverviewThe Engineer – Machine Learning (ML) is an expert in developing and implementing machine learning algorithms and models, focusing on solving complex business problems and enhancing technological solutions within the organization. The Engineer - Machine Learning (ML) must demonstrate substantial background and passion for machine learning, AI, and statistical modeling. All duties are to be performed in accordance with departmental and The Venetian Resort’s policies, practices, and procedures.Essential Duties & ResponsibilitiesArchitect and build robust cloud-based pipelines and robust ML framework to train, deploy, infer, and monitor machine learning models at scale.Apply expertise in model design, training, evaluation, validation, implementation, and monitoring.Conduct data preprocessing, feature engineering, and model evaluation.Manage workflows and data pipelines.Implement monitoring systems to track how models are performing.Design, develop, and implement predictive models and algorithms to support business objectives.Conduct exploratory data analysis, descriptive analysis, and deep dives, and examine large datasets to uncover trends, patterns, and opportunities for business improvement.Incorporate visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Formulate infrastructure decisions using understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation.Create and maintain detailed documentation for operational execution.Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.Drive code reviews to help team adhere to general best practices.Provide technical guidance and mentorship to other team members.Innovate with new approaches, staying abreast of current research and latest technologies in the broader ML engineering community.Safety is an essential function of this job.Consistent and regular attendance is an essential function of this job.Performs other related duties as assigned.Company Standards of ConductAll The Venetian Resort Team Members are expected to conduct and carry themselves in a professional manner at all times. Team Members are required to observe the Company’s standards, work requirements and rules of conduct.Minimum Qualifications21 years of age.Proof of authorization to work in the United StatesBachelor's degree in computer science, engineering, data science, statistics, mathematics, or a related field. Master’s degree preferred.Must be able to obtain and maintain Nevada Gaming Control Board registration and any other certification or license, as required by law or policy.A minimum of 2 years of relevant experience.Practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the Google Cloud Platform and Databricks ecosystem.Programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (e.g.: scikit-learn, Keras/Tensorflow, etc.) and optimization (e.g., linear programming) tools.Experience with CI/CD pipelines, and Git version control.Experience with data visualization to convey ML models behavior and business insights.Demonstrated experience in statistical and/or quantitative analysis, forecasting, predictive analytics, multivariate testing, outlier analysis and/or optimization algorithms.Expertise in AI/ML model design and development, frameworks, and libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, NLTK or spaCy, OpenCV or similar.Experience working with large, dynamic data sets and developing code to ingest, cleanse, and evaluate data.Solid understanding of Machine Learning fundamentals and ability to translate business requirements into machine learning solutions.Excellent problem-solving skills and ability to work in a fast-paced environment.Strong communication skills and ability to work well in a team.Sharp analytical, technical, and mathematical / statistical skills.Ability to communicate with people of various technical and business backgrounds, includes explaining difficult technical concepts in simple terms to business users.Ability to communicate clearly and effectively in English, both in spoken and written form.Strong interpersonal skills with the ability to communicate effectively with guests and other Team Members of different backgrounds and levels of experience.Must be able to work varied shifts, including nights, weekends, and holidays.Physical RequirementsMust be able to:Lift or carry 10 pounds, unassisted, in the performance of specific tasks, as assigned.Physically access all areas of the property and drive areas with or without reasonable accommodation.Maintain composure under pressure and consistently meet deadlines with internal and external customers and contacts.Ability to interact appropriately and effectively with guests, management, other team members, and outside contacts.Ability for prolonged periods of time to walk, stand, stretch, bend, and kneel.Work in a fast-paced and busy environment.Work indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, dust, and cigarette smoke.",Associate,Machine Learning Engineer
+186,2025-03-28,The Cloud,,Snowflake,http://www.snowflake.com,"Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.","Build the future of the AI Data Cloud. Join the Snowflake team.The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their ML/AI workload to Snowflake. Our customers want to leverage ML/AI to extract business values from ever increasing data in Snowflake but face several challenges including infrastructure management, scaling, orchestration, performance and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure and scalable to enable end to end ML workflows. We are on an early journey to build the best machine learning and data platform for Snowflake customers without sacrificing the benefits of a single platform and governance.We are looking for a driven engineer who will play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state of the art ML/AI workloads. Join us to design and execute, engage and deliver innovation and unlock the power of AI for thousands of enterprise customers.YOU WILL:Design easy-to-use & intuitive APIs & systems for ML experts and non-experts to accelerate the E2E ML development and production lifecycleDesign and optimize systems to scale up and out ML data and trainingCollaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the customers’ business objectives.Be a strong contributor to the product vision and team planning.Build operational and release rigor with every feature/bug fix deployments.QUALIFICATIONS:Have 2+ years of industry experience designing, building, and supporting machine learning platforms, machine learning services & frameworks or data intensive systems.Working experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow.Fluent in Python. C++, Java, Go experience is a plus.Familiarity with Kubernetes (K8s) for container orchestration and scaling, plus experience setting up and maintaining CI/CD pipelines (e.g., Jenkins, GitLab, GitHub Actions), is a plus.A growth mindset and excitement about breaking the status quo by seeking innovative solutions.BS in Computer Science or related degree; Masters or PhD Preferred.Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.comThe following represents the expected range of compensation for this role: The estimated base salary range for this role is $157,000 - $230,000.Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.",Entry level,Software Engineer - Machine Learning Platform
+187,2025-03-05,,,Protogon Research,https://protogon.ai/,"Protogon Research builds AI models with a deep understanding of the world, and monetizes them through proprietary trading. Our long-term goal is to build superintelligence, which we believe will be the most transformative invention of the 21st century.
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+We believe that trading is a unique test-bed to develop highly intelligent AI systems. Focusing on trading provides us with several key advantages over other approaches. We can:
+- Develop proprietary models using proprietary datasets, which helps us avoid the race-to-the-bottom other AI companies are stuck in.
+- Rapidly translate technological improvements into increased revenue.
+- Focus on building innovative systems without the need for sales, marketing, customer support, or business development.
+- Build models optimized for a true understanding of the world, rather than simply replicating human behavior or generating superficially pleasing outputs.","Protogon Research builds AI models with a deep understanding of the world, monetizing them through proprietary trading. Founded and led by serial entrepreneur Rafael Cosman, the co-founder of Archblock and the DeFi Protocol TrueFi, Protogon Research is building superintelligence.We believe trading is a powerful testbed for developing highly intelligent AI systems, offering unique advantages over other approaches. Backed by top VCs, our highly technical team is on a mission to build the most transformative technology of the 21st century.Why Build AI Trading Systems?Focusing on trading provides several key advantages:Proprietary models and datasets - This helps us avoid the race to the bottom faced by many other AI companies.Fast innovation cycle - Technological advancements directly translate into increased revenue, allowing us to rapidly test and implement improvements.Pure focus on AI development - With no need for sales, marketing, or customer support, we can concentrate on building groundbreaking systems.True understanding, not imitation - We create AI that deeply understands the world rather than just replicating human behavior or generating superficially pleasing outputs.Unlike traditional quant funds, we dont focus on short-term profits but on the long-term success of our AI technology. While we leverage AI for trading, everything from our investors to our culture is aligned with this vision of lasting impact. Moreover, were not just another AI company layering a thin wrapper over existing technologies or burning through resources building models that are quickly commoditized. We focus on doing work every day that is original, proprietary, and defensible.We are a small, dynamic team of six based in Menlo Park, CA, and were seeking talented Machine Learning Engineers to help us build impactful technology and drive innovation. We believe working in person fosters the most fun, engaging, and creative work, so this role will be based at our Menlo Park office.Responsibilities & Expectations:Designing Model Architectures: Core work on improving our model architecture and training, with a focus on achieving measurable gains in model accuracy and reducing training timeEvaluating Model Performance: Working on the training framework to efficiently train and test models, and expanding how we characterize/measure our trained modelsExpanding Data Sources: Finding and integrating more novel data to increase model performance on backtest as well as real-world assessmentsMonitoring and Alerts: Designing monitoring systems to detect and alert the team to anomalies with live trading strategies, aiming to reduce detection and response time, minimize false positives, and improve system reliability.Who You Are:Experienced Machine Learning Engineer: Strong background in ML development with hands-on experience in both theoretical and practical applications. Proficient in deep learning frameworks such as PyTorch, TensorFlow, and Jax, with expertise in feature engineering, model optimization, and evaluating model performance. Minimum of 2 years of experience.AI/Financial Markets Enthusiast: Interested in AI, AGI, and financial markets.Discreet: Able to handle and protect proprietary technology and strategies with the highest level of confidentiality.Takes Ownership: Proactively takes responsibility, drives projects, and contributes effectively within a small, agile team. Nice to Have: Experience in quantitative finance, trading systems, or market modelingStrong programming skills in PythonKnowledge of high-performance computing (HPC) and distributed computing frameworksExperience with cloud platforms (AWS, GCP)What We Offer:Competitive SalaryComprehensive Benefits: Medical, Dental, and Vision coverageAdditional Benefits: 401K, FSA, and HSA optionsFlexible Time Off: Vacation policy, sick days, and holidaysNote: We are open to candidates who are interested in an engineering lead role, involving some recruiting and management responsibilities in addition to significant coding work. Compensation will be based on the scope of responsibilities and level of experience.At this time, we are unable to provide visa sponsorship. Candidates must have authorization to work in the United States without requiring sponsorship, now or in the future.If you are excited to grow with us, push the boundaries of what is possible, and be a part of shaping the future of AI, we'd love to connect!",Not Applicable,Machine Learning Engineer
+188,2025-03-21,Bellevue,Washington,Aditi Consulting,http://www.aditiconsulting.com,"Aditi is a Digital Engineering Services company. We partner with established and emerging enterprises by leveraging borderless talent across three continents to achieve transformative outcomes that will reshape their trajectory.
+
+We are committed to providing extraordinary experiences through all stages of the transformation journey to foster lasting relationships. We deliver tangible results through our broad range of services.
+
+We lead and support our clients’ efforts to discover, design, and deliver the products, systems, and processes required to deliver impact by leveraging deep insights, practical knowledge, and human spirit.
+
+With over 2000 employees, Aditi services 70+ Fortune 500 and emerging clients across three continents. We measure success by the value we create for our stakeholders and by the trust and loyalty we build.","Payrate: $70.00- $75.00/hr. Summary:Seeking a strong System / Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI ResponsibilitiesEngineer, design, implement, and improve highly scalable machine learning systems and tools for enabling researchResponsibilities include developing deep learning libraries that support large-scale distributed training, open sourcing high quality code and reproducible results for the community, and bringing the latest research to products for connecting billions of users. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projectsWrite clean and robust machine learning codeMinimum QualificationsDegree in Computer Science, Computer Engineering or relevant technical field5+ years experience with deep learningExperience developing machine learning algorithms or machine learning infrastructure in Python or C/C++ Preferred QualificationsDemonstrated software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Top 3 Skill Sets:PytorchMachine LearningPython Top 3 Nice to Have:Building Open Source Libraries for Machine LearningDistributed training for ML modelsExperience with Machine Learning Research, publishing papersExperience with python backends and APIsExperience in software design and development Pay Transparency: The typical base pay for this role across the U.S. is: $70.00- $75.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select.  Full-time employees are eligible to select from different benefits packages.  Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacy-policy). Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process.  AI technology is used to gather data only and does not replace human-based decision making in employment decisions.  By applying to this position, you agree to Aditi’s use of AI technology including calls from an AI Voice Recruiter. #AditiConsulting ",Entry level,Machine Learning Engineer
+189,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+190,2025-03-10,Chicago,Illinois,Attain,https://www.attainoutcomes.com,"We’re on a mission to build a more equitable and efficient data sharing ecosystem.
+
+People crave content, online experiences and advertising that’s relevant to them—but not at the expense of their privacy. Our journey is focused on transforming an antiquated system with new technologies to make sharing and using consumer data fair and effective.","About AttainBuilt for consumers and companies, alike. In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising.At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You'll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday.About the roleWe are leveraging machine learning (ML) and data science-based products to take Attain to the next level. To meet the growing needs of our business, we are searching for an experienced Machine Learning Engineer to enhance the development of a machine learning platform that enables data scientists and engineers across the company to easily build and deploy machine learning solutions at scale through a unified platform approach. This person will lead and experience first-hand how we transform machine learning models and algorithms into AI products for our consumers, customers and partners.What a typical week might look likeContribute to the development of our machine learning platform, driving for outstanding executionLead by example and define best practices for robust and efficient machine learning service development that includes data pipeline development and automation, model versioning, deployment, monitoring, feature store and continuous model training, etc.Design and manage CI/CD pipeline for our machine learning product deploymentCollaborate with a cross functional team of data scientists, engineers, product managers, business stakeholders to cost-effectively deliver AI services with quality, efficiency, and security Contribute to the machine learning engineering roadmap and prioritiesYou have4+ years of hands-on experience building and deploying machine learning modelsStrong expertise in developing and deploying offline and online machine learning services in productionSolid understanding of machine learning software and infrastructure developmentProficiency in PythonExperience with cloud computing services or platform (GCP preferred)Strong SQL skillsFamiliarity with version control and peer code review systemsDemonstrated ability to learn and embrace new technologies, applications, and approachesWillingness to roll up your sleeves and sometimes wear multiple hats across the data science team, depending on the needs of the businessStrong written and verbal communication skills and the ability to explain technical topics to both technical and non-technical audiencesWe're excited to hear from you. At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn't match every detail of the job description. If we don't see something that immediately fits, we will keep your resume on file for future opportunities.",Entry level,Machine Learning Engineer
+191,2025-02-20,Little Rock,AR,"Inuvo, Inc",http://inuvo.com/,"The IntentKey Platform — Build, Refine & Activate AI-Powered Audiences That Boost Your Campaigns. 🚀","DescriptionInuvo, Inc. (NYSE American: INUV) is an Artificial Intelligence based technology company that designs, develops, and patents proprietary advertising solutions that it sells through agencies, directly to brands, and integrated into advertising platforms.Inuvo is seeking a highly skilled and motivated Machine Learning Engineer / Data Scientist to join our team. The ideal candidate is a problem solver, detail-oriented, and committed to delivering high-quality solutions. This role requires expertise in data analysis, machine learning, and algorithm design. The ideal candidate needs to have development experience. Candidates should thrive both independently and in collaborative, small-team environments. Salary range for this position: $100-$140k.Primary ResponsibilitiesServe as a member of the Data Science and Machine Learning team, reporting directly to the Director of Data Science.Design, implement, and deploy high-performance, scalable machine learning algorithms.Develop and enhance large-scale data analytics tools and frameworks.Drive innovation by exploring and applying cutting-edge machine learning and data science methodologies.RequirementsPh.D. in Computer Science, Statistics, Engineering, or a related technical field.At least 3 years of software development experience in Java or Python.Minimum 3 years of experience in machine learning, data science, algorithm design, and large-scale statistical analysis.Proficiency in large-scale data processing tools such as Spark or Hadoop.Experience with Large Language Models (LLMs) and Natural Language Processing (NLP) is highly desirable.Strong understanding of data structure optimization and algorithm scalability.Familiarity with AWS and its suite of data analytics/ML tools is a plus.Knowledge of Kafka, Hive, SQL, and shell scripting is an added advantage.Proven track record of working on complex, modular projects with the ability to define designs and test scenarios independently.Strong curiosity and enthusiasm for data exploration and discovery.Proficient in verbal and visual storytelling with data to communicate insights effectively.US work authorization.What We OfferA collaborative and supportive work environment with opportunities to lead and innovate.Engagement in impactful projects with cutting-edge technologies.Opportunities for continuous learning and career growth.Inuvo BenefitsCompetitive health benefits, including medical, vision, dental, and various voluntary benefits. Flexible vacation, holiday, and sick leave. 401(k) Plan with company matching.Offer a hybrid of in-office and remote work. Inuvo is an Equal Opportunity Employer and seeks to foster community, inclusion, and diversity within the organization. We encourage all qualified candidates, regardless of racial, religious, sexual, or gender identity, to apply.",Entry level,Machine Learning Engineer- Data Scientist
+192,2025-03-31,Redmond,Washington,Microsoft,https://news.microsoft.com/,"Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. 
+
+Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.","Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.As a Software Engineer on AI and/or ML projects you will develop software, tools, and code to be used in support of design, infrastructure, and technology platforms including large and small language models (LLMs/SLMs). This opportunity will allow you to create and implement extensible and maintainable code and prompts for a product, service, or feature. You will partner with stakeholders to determine user requirements for a feature and consider a variety of feedback channels to incorporate insights into future designs or solution fixes. You will collaborate with others to create a clear and articulated plan for testing, assuring quality of solutions, while applying knowledge of debugging tools, logs, telemetry, and other methods to proactively flag issues. This opportunity will allow you to learn about customer scaling requirements and the application of best practices for meeting scaling needs and performance expectations, while ensuring the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. You will also consider the impact of AI technology, including applying Microsoft’s responsible AI practices.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.Please note this application is only for roles based in our Redmond, Washington office and/or roles that are not tied to a specific Microsoft office location. For roles in other offices in the United States, please see our Careers site. ResponsibilitiesLearns to review and break down work items into tasks with stakeholder collaboration, provide estimations, and escalate delays, while also supporting feature deployments to customers, considering user and service impacts, and adhering to best deployment practices for safety.Collaborates with key stakeholders to define feature requirements, integrates feedback to enhance design, and establishes feedback loops for continuous improvement based on customer metrics.Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions. Specifies or implements AI platform improvements like fine-tuning or training custom ML models.Learns and applies coding standards and best practices through code reviews, developing maintainable and extensible code with guidance. Utilizes debugging tools to proactively and reactively address issues in product features, ensuring code quality and reliability.Supports the identification of dependencies and design documentation for product features, learns about system interactions and back-end dependencies, and contributes to architectural processes under guidance. Produces code to test hypotheses for technical solutions and assist with technical validation efforts. Collaborates on quality assurance plans, augments test cases, and integrates automation into testing, while understanding the implications of security and compliance in system architecture.Contributes to data analysis and feedback integration for product engineering decisions, acting as a Designated Responsible Individual (DRI) for monitoring and restoring system functionality within Service Level Agreement (SLA) timeframe. Participates in live service operations, and supports telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety.Develops and applies best practices for reliable code building, understands global and local regulations, customer scaling requirements, and support communication with key partners across Microsoft for user experience enhancement and partner needs.Ensures compliance with security, privacy, safety, and accessibility standards, leverages developer tools for code creation and debugging, contributes to automation in production and deployment, and proactively seeks knowledge to improve product availability, reliability, efficiency, and performance at scale.Understands and applies Microsoft’s responsible AI practices to ensure systems meet our commitments to our customers.QualificationsRequired QualificationsBachelor's Degree (or currently pursuing a degree) in Computer Science or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.OR equivalent experience. Preferred QualificationsBachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.OR Master's Degree (or currently pursuing a degree) in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.Demonstrated interest in AI/ML technologies. Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $81,900 - $160,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $105,600 - $174,600 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay.Microsoft will accept applications and process offers for these roles on an ongoing basis.Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.",Not Applicable,"Software Engineer - AI/ML, Multiple Locations"
+193,2024-10-28,Durham,NC,CoVar,http://www.covar.com,"CoVar is a leader in machine learning and artificial intelligence solutions. We create customized algorithms that are revolutionizing problem-solving for defense, healthcare, and industry. See how our machine learning and software technologies can change the paradigm for your organization.","About CoVarCoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.About this positionYou will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.QualificationsApplicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques. Previous experience with DoD customers is a plus.Minimum qualificationsSoftware expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related fieldExcellent technical communication skillsAbility to work in Durham, NC (relocation assistance available)Eligibility for US security clearance (US citizenship is required)Bonus skillsDepartment of Defense project experienceBenefitsCompetitive salary, cash bonus, equity structure, and 401k with employer contributionsExcellent health care coverage, including dental and vision plansFlexible work scheduleTuition supportVisit us: www.covar.com",Not Applicable,Machine Learning Engineer
+194,2025-03-22,Hybrid-remote workplace,,Fetch,https://business.fetch.com,"Fetch, America's Rewards App, empowers consumers to Live Rewarded and helps brands create lifelong customers through the power of Fetch Points. 
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+Fetch has sweeping visibility into what consumers buy, capturing more than $179 billion worth of transactions annually using cutting-edge artificial intelligence and machine learning technologies. To date, Fetch users have submitted more than 5 billion receipts and earned more than $1 billion in rewards. 
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+The app is available to download on the App Store and Google Play Store and has more than 6 million five-star reviews from happy Fetchers. ","What we’re building and why we’re building it. Every month, millions of people use America’s Rewards App, earning rewards for buying brands they love – and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we’ve delivered more than $1 billion in rewards and earned more than 5 million five-star reviews from happy users.It’s not just our users who believe in Fetch: with investments from SoftBank, Univision, and Hamilton Lane, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.Fetch is an equal employment opportunity employer.Meet Fetch EngineeringAt Fetch, our engineering philosophy emphasizes innovation, adaptability, and informed decision making. Our engineers thrive in complex environments, making decisions based on critical thinking and data, even in uncertain situations. We value proactive problem-solving and focus on driving impactful results while maintaining high technical standards. You will work alongside talented engineers who are dedicated to pushing the boundaries of technology and encouraging each other to excel. We understand that Fetch may not be the right fit for everyone, but if you're passionate about solving challenging problems and navigating intricate systems, Fetch could be a great place for you.About The RoleThe ML Engineering team embodies these values and works to enable intelligent systems for end users, internal stakeholders, and external partners. As a Machine Learning Apprentice, you will contribute to this vision and reap the rewards of joining an exciting company in the high growth phase. Among other things, Fetch uses ML/AI to power receipt understanding (digital and physical), fraud detection, and we’re rapidly evolving in the space of ads ranking, recommendation, search, and discovery. Machine learning is core to our product and we’re working to make it an even bigger part of the company.You will work on solving challenging problems at the intersection of developing the models and the infrastructure needed to operationalize them at scale. The ML Team at Fetch is responsible for the full life-cycle of machine learning. This includes data labeling/collection/management, model development, and deploying to large-scale production settings. We work closely with backend, devops and data engineers on focused teams.If you are a connector at heart and love the challenge of breathing life into a product vision by building the predictive tools and models which will propel the experience for our users and insights for our partners to new heights– we’d love to hear from you!In Your Toolbox (Minimum Requirements)Solid foundation of fundamental or object oriented programming skills; we use a lot of Python in this problem space but proficiency in other languages is equally welcome.Experience building and/or training ML models using a Python Framework, such as PyTorch or TensorFlow, in a classroom setting or hands-on environment (e.g. prior work experience, side projects, research, or coding competitions)Experience deploying applications to a public cloud environment (e.g. AWS)Passion for tackling challenging and ambiguous problems in a fast-paced environmentAbility to effectively communicate across a variety of technical and nontechnical audiences Desire to grow your software engineering skills through collaboration, open communication, direct feedback and knowledge sharing Bonus PointsStatistical testing and analysis experience (e.g. A/B testing, experimental design); you understand the math behind what makes these models workExperience with test writing and quality assurance methodologieExperience working with compilers such as ONNX, TensorRT, Triton, or CUDA Experience with search, ranking or adsExperience building fraud detection modelsExperience with model servers like TFServing/TorchServe/TritonExperience collaborating cross-functionally with backend and mobile engineers, devops engineers, data scientists, et al. Program EligibilityAbility to work full-time (40 hours per week) from either the Chicago or Madison Fetch office for a fixed term of 12-16 weeks. While a degree is not required for this position, the apprenticeship program is not intended for students who are actively enrolled in a full-time, degree-seeking program. Due to the short-term nature of this role, we are not able to transfer existing H1Bs or support new applications for the FY 2026 lottery.CompensationFetch software engineering apprenticeship roles pay $50/ hour. Please note: pay for this role is not negotiable.",Internship,"Machine Learning Engineer, Apprentice"
+195,2025-03-31,San Ramon,California,Grid Dynamics,http://www.griddynamics.com,"Grid Dynamics empowers enterprise-scale companies to drive revenue growth, boost efficiency, and maximize the impact of their digital modernization initiatives. 
+
+Our clients span diverse industry verticals such as Retail, Manufacturing and CPG, Insurance, Wealth Management, Banking and Payments, Pharma and Life Sciences, and High-tech. We co-innovate with clients to help them solve complex business challenges and uncover new revenue streams through our technology consulting, platform and product engineering, AI, and advanced analytics services. 
+
+With expertise in simplifying and modernizing business operations, we enable clients to make data-driven decisions and support an evolving digital customer, from initial engagement to post-purchase support, driving efficiency and growth across business operations. 
+
+In addition to our work with enterprise leaders, we serve as a trusted co-innovation partner for startups, helping them address key challenges and transition into young enterprises poised for sustainable growth. By combining our deep technical expertise with a collaborative approach, we empower businesses—from startups to enterprises—to reach new heights.
+
+A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, application modernization, cloud & DevOps, and customer experience. Grid Dynamics offers a range of starter kits to its clients, enabling increased speed-to-market with business driving solutions.  
+
+Grid Dynamics is headquartered in Silicon Valley with a global footprint (Americas, Europe, and India) and a follow-the-sun delivery model bolstered by engineering talent driven by innovation, technical mastery, and resulting in transformational business outcomes.","We are seeking a highly skilled ML Engineer to join our team. You will work on creating robust and scalable systems, enhancing our project code base, and ensuring seamless integration pipelines.Responsibilities : Design and implement complex LLM applications for enterprise-scale solutionsLead LLM quality evaluation initiatives, including developing metrics and automated testing frameworksDrive LLM/VLM fine-tuning projects, including dataset preparation and optimizationDevelop and maintain ML pipelines following MLOps best practicesCollaborate with cross-functional teams to integrate ML solutionsMentor team members on ML engineering best practicesContribute to architectural decisions for ML systemsEvaluate and implement new ML technologies and frameworksDocument technical designs and maintain engineering standardsRequirements: 5+ years of experience in Machine Learning EngineeringDeep expertise in designing and implementing complex LLM applications, including multimodal, RAG, and agent-based systemsProven experience with LLM quality evaluation, including metric design and automation frameworksStrong background in LLM/VLM fine-tuning and distributed training frameworks (Ray or similar)Expert-level Python programming skills with focus on ML/data applicationsSolid understanding of MLOps and LLMOps principles and best practicesExperience with production ML systems and scalable data processing pipelinesMS/PhD in Computer Science, Machine Learning, or related field preferredWhat we offer: Opportunity to work on bleeding-edge projects.Work with a highly motivated and dedicated team.Competitive salary.Flexible schedule.Benefits package - medical insurance, sports.Corporate social events.Professional development opportunities.NB:Placement and Staffing Agencies need not apply. We do not work with C2C at this time.At this moment, we are not able to process H1B transfers. Applicants with CPT and OPT visas are welcome to apply.About Us: Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe.To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.",Mid-Senior level,Machine Learning (ML) Engineer
+196,2025-03-26,New York,NY,Quantitative Systems,http://www.quantitativesystems.com,"Welcome to Quantitative Systems. Quantitative Systems is an executive technology search firm that focuses on finding the best technical talent.  We focus our resources on finding the most talented software engineers in the world across multiple industries.
+
+We are experts at identifying the best software developers in the world.  We are always searching for programmers who are talented in any of the major object oriented languages: such as Java, C++, C#, or Ruby on Rails.
+
+Quantitative Systems has a practice that is dedicated to Quantitative trading.  This particular part of Quantitative Systems focuses on finding software development professionals that have a keen interest and understanding of the financial markets and systematic trading.  Quantitative Trading has been defined as the systematic implementation of trading strategies that human beings create through rigorous research where as systematic is defined as a disciplined, methodological, and/or automated approach.  We support many software and infrastructure related positions throughout the field of finance.
+
+Quantitative Systems also has a dedicated search practice for each Media, Start-ups, and Technology companies.  Since the lines between media, start-up and technology can blur at times, we just make sure we find the best software developers on the planet for our clients.","Machine Learning EngineerRemoteAbout the RoleA fast-growing data infrastructure company is seeking a founding Machine Learning Engineer to lead a new initiative focused on intelligent decision-making and predictive automation. While the platform already enables large-scale customer data activation, the next phase involves embedding intelligence directly into engagement and operational workflows.This is a high-impact, greenfield role for someone who can architect, implement, and scale machine learning systems that drive real-time actions from complex data. You’ll help shape product direction, collaborate with product and engineering leadership, and play a key role in how businesses use data to make timely, automated decisions.What You’ll DoBuild and deploy models that drive intelligent engagement: who to reach, how to engage, and when to act.Translate ambiguous customer problems into practical machine learning systems with measurable outcomes.Architect infrastructure to support model training, inference, and ongoing experimentation.Integrate predictive outputs into existing data pipelines and platform APIs.Collaborate directly with internal teams and select design partners to validate solutions and refine system behavior.Own the development of tools for monitoring, evaluation, and continuous improvement of models in production.What We're Looking For4+ years of experience applying machine learning in a production environment.Proficiency in Python and familiarity with core ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).Solid understanding of modeling techniques for classification, scoring, and behavioral analysis.Hands-on experience working with structured event data or analytics data from SaaS platforms or data infrastructure tools.Background in backend, data engineering, or ML platform design is a strong plus.Strong problem-solving skills, communication ability, and comfort working in fast-moving environments.Why This RoleLead the creation of an intelligence layer from the ground up, with high visibility and strategic impact.Work with real-time, high-volume customer data powering some of the world’s most recognizable brands.Join a team that values pragmatism, technical excellence, and cross-functional collaboration.Opportunity to shape how businesses interact with customer data through automation and intelligence.Remote flexibility, competitive compensation, and the backing of top-tier investors with over $80M raised to date.",Mid-Senior level,Machine Learning Engineer
+197,2025-03-28,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Your team will be a diverse, and collaborative group of machine learning (ML) engineers, software engineers and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. We achieve those goals by jointly modeling the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions, and the full sensor suite including camera, Lidar and radars.To increase the fidelity, scalability and controllability of our simulations,we employ the latest ML technologies such as large language models, foundational world models, and reconstructive methods trained on large-scale datasets with both generative and reconstructive technologies.In this hybrid role, you will report to a Senior Staff Engineering ManagerYou WillJoin our world-class research engineering team and drive innovation in ultra-realistic sensor data and perception simulation for autonomous vehicles. You will develop the latest simulation technologies using foundation models for embodied agents. Apply your deep ML expertise, in Generative AI (GenAI), to push the boundaries of simulation realism and directly influence the advancement of autonomous driving technology. Work in close collaboration with Waymo's foundational AI research team to transfer State-of-The-Art research into scalable and production-ready solutions. You HavePhD in Computer Science, Machine Learning (ML), Robotics, or similar technical field of study, or equivalent practical experience. 2+ years of experience with ML engineering and applied Deep Learning. 2+ years of experience on Multi-modal Generative Models, including diffusion or foundational world models, OR machine learning-based 3D Reconstruction techniques, including 3D Gaussian Splatting (3DGS) and Neural Radiance Fields (NeRF), depth estimation techniques. Fluency in Python, with experience developing ML software using frameworks such as PyTorch, TensorFlow and Jax/Flax We PreferExperience with processing or simulating (Lidar, Camera, or MIMO Radar) sensor data. Experience with autonomous systems including robotics or autonomous vehicles (L4, L3+). Experienced with C++, in integrating ML models into a production system. Experience training large-scale models on GPU/TPU clusters. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$170,000—$216,000 USD",Entry level,"Machine Learning Engineer, Perception and Sensor Simulation"
+198,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesThe TikTok Ads Creative & Ecosystem team's mission is to solve the above dilemma, by building industry-leading tech solutions for ads creative/landing page understanding, production/generation, and optimization, to inspire and empower advertisers, creators, and other 3rd parties in the ecosystem to create and deliver the best engaging creative experiences to the end users. Our work is at the core of TikTok and creator monetization. Examples of our team's work include TikTok video editor, AI-powered smart video generation (we are also exploring AIGC), and TikTok creative exchange (a creative marketplace to connect TikTok advertisers with creators or third-party creative agencies).We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. It Runs For 12 Weeks Beginning In May/June 2025 . Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23Please state your availability clearly in your resume (Start date, End date).Responsibilities: Participate in the development of a large-scale Ads system. Participate in the development and iteration of Ads algorithms by using Machine Learning, including ads query understanding, ads targeting, ads ranking, model serving reliability, etc. Explore, develop and experiment with new features to improve model accuracy. Partner with product managers and the product strategy & operation team to define product strategy and features.QualificationsMinimum Qualifications:Currently pursuing a BS/MS degree in Computer Science, Computer Engineering or other relevant majors. Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. Good analytical thinking capability. Have essential knowledge and skills in statistics. Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.). Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism. Strong communication and teamwork skills. Passion about technologies and solving challenging problems.Preferred Qualifications: Strong understanding of recommender systems, including collaborative filtering, content-based methods, matrix factorization, and deep learning approaches, as well as key metrics (e.g., CTR, CVR, ROI) and personalization techniques in online model prediction. Experience with large-scale data processing and machine learning frameworks (e.g., TensorFlow, PyTorch, Spark, or Hadoop) to build and deploy scalable recommendation models. Proficiency in programming with C++, Python, and Golang to develop high-performance recommendation engines, optimize system performance, and build scalable backend services. Strong data analysis and model debugging abilities, including diagnosing model performance issues, analyzing user behavior data, and improving system effectiveness based on insights from A/B testing and offline evaluation metrics.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $45- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (Creative AI) - 2025 Summer (BS/MS)
+199,2025-03-23,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The Observability Team provides a platform and suite of products that enable Netflix engineers to monitor service behavior in real time, detect system health anomalies, and troubleshoot issues. This role is part of the Monitoring and Alerting team, a crucial part of our Observability engineering group.As Part Of The Team, You Will Work across a suite of observability products including System Health Experience, Alert configuration and management tools and Issue Management Experience.Define and implement a forward-looking strategy for Netflix's AI Ops platform, focusing on the integration of Machine Learning algorithms and cutting-edge Generative AI techniques to enhance application resilience in conjunction with observability platforms. Build Systems that integrate internal Observability data with LLMs for more effective guidance when diagnosing issues.Contribute to a platform that processes billions of data points in real time every minuteProvide mentorship to early career engineers on the team, fostering their growth and development. About You6+ years of experience in high-scale, modern tech-driven companies.You consider yourself an Applied Machine Learning engineer and have experience in both developing backend and applying Machine Learning algorithms at scale for a good part of your career. You act like an owner and have expertise in building and maintaining backend servicesYou are proficient in designing, building, and operating algorithms or leveraging APIs for Monitoring and Alerting applications. You are familiar with the latest techniques and applications of Generative AI.You are proficient in distributed computing frameworks that enable efficient handling, analysis, and processing of large datasets, such as Apache Spark for fast, in-memory data processing, and Apache Kafka for real-time data streaming.You have built, maintained, evolved, and/or sunset a variety of APIs. You can confidently describe the API’s schema, purpose, response types, and up/down-stream services.You are proficient in working with Java (or JVM language) and Python.You are knowledgeable about and are willing to own all areas of the software lifecycle: design, development, test, deploy, operate, and support.You possess exceptional communication and collaboration skills, effectively engaging with a diverse, cross-functional team of stunning colleagues. Capable of working independently, yet excel in a dynamic team environment.Have a product mindset that is deeply empathetic to customer needs, strategic in orientation, and metrics and outcomes-driven.Nice To HaveYou have used or built observability products involving logs, metrics, and traces. Familiar with ML algorithms for detection and classification of system faults, such as Real-time anomaly detection, Outlier detection, time series analysis and forecasting, etc.About NetflixOur culture is unique, and we live by our values, so it’s worth learning more about Netflix culture.Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Applied Machine Learning Backend Engineer (L5), Monitoring & Alerting"
+200,2025-03-24,St Petersburg,Florida,EVONA,http://www.evona.com,"We believe in the evolution of knowledge and the progression of people - it is so core to our business, it's the meaning of our name: EVO - to evolve, ONA - people. ​
+
+EVONA Group brings together pioneering talent solutions for today’s most ambitious companies, with a suite of services designed to meet the unique demands of space, defense, and deep tech.
+ 
+FRACTION - www.evonafraction.com - connects VCs, PEs, and founders with fractional executives, bringing high-impact expertise exactly when it’s needed. 
+
+GRAM PARTNERS - www.grampartners.com -  is our white-glove executive search and consulting service, led by former SpaceX and Apple executives, delivering unmatched precision in high-level talent acquisition. 
+
+EVONA - www.evona.com -  is the original, award-winning subscription and direct hire service for VP, director, management, and individual contributor roles, trusted by top companies for a seamless recruitment experience.
+ 
+Our platforms empower you to source talent independently or access curated executive search expertise – and we’ve built a following you can leverage to drive your mission forward.
+
+Call on: +1 202-381-9944 (US) or +44117 2034444 (UK)","Job Title: Machine Learning EngineerSalary: $140,000 - $170,000Location: Washington D.C (Hybrid/Remote)My client is an expanding start-up who are pioneering the future of space weather intelligence. Their platform leverages cutting-edge science and advanced machine learning to create fully integrated solutions which enhance resilience and mitigate risks from the space environment. They are currently seeking a talented Machine Learning Engineer to join their team and help develop ML models that turn complex data into actionable insights, driving the next generation of space-tech applications.Key Responsibilities:Design and deploy machine learning models to analyze and interpret physics-based data, especially in the areas of space weather, satellite telemetry, and atmospheric dynamics.Implement numerical modeling techniques to simulate physical systems, integrating these with ML approaches for enhanced predictive accuracy.Collaborate with cross-functional teams to understand project requirements and to translate complex, physics-based processes into ML solutions.Optimize model performance and scalability for deployment on cloud platforms (AWS).Implement data preprocessing, feature engineering, and data augmentation techniques to improve model accuracy.Build, maintain, and improve data pipelines, ensuring the seamless flow of data from ingestion to deployment.Monitor and evaluate model performance post-deployment, making updates as needed for continuous improvement.Ensure models adhere to security, privacy, and regulatory standards.Qualifications:Proven experience in developing and deploying machine learning models using Keras, TensorFlow, PyTorch, Jax, or similar modern frameworks.Experience building numerical and ML models of physics-based systems with exposure to large datasets or distributed systems.Strong background in data science, including experience with data preprocessing, feature engineering, and model evaluation.Proficiency in cloud platforms (AWS) for deploying and scaling machine learning models.Familiarity with containerization tools like Docker for model deployment.Solid understanding of statistical methods, algorithms, and performance metrics used in machine learning.Strong problem-solving and communication skills, and the ability to work collaboratively in a fast-paced environment.Preferred Qualifications:Background in physics, atmospheric science, aerospace, electrical engineering, or a related fieldExperience building Physics-Informed ML models (PINN, DeepOnet, FNO/AFNO) using frameworks such as DeepXDE or ModulusKnowledge of MLOps practices, including CI/CD for ML, model versioning, and automated monitoring. Experience putting ML models into production.Relevant certifications in cloud platforms or machine learning frameworks.Experience with real-time data processing (Spark, Flink, Dataflow, Kafka, Pulsar, etc.)Experience debugging and maintaining live production systems on Kubernetes.",Mid-Senior level,Machine Learning Engineer
+201,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+202,2025-04-07,San Jose,CA,PayPal,https://www.paypal.com/us/home,"We're championing possibilities for all by making money fast, easy, and more enjoyable. Our hope is unlock opportunities for people in their everyday lives and empower the millions of people and businesses around the world who trust, rely, and use PayPal every day. 
+
+For support, visit the PayPal Help Center. https://payp.al/help
+
+For employment opportunities, check out our job openings in the 'Jobs' tab. We're an equal opportunity employer that welcomes diversity, and offer generous benefits to help you thrive at work and in your free time.
+","The CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Description Summary:PayPal is seeking a talented Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces including Venmo and PayPal. Your goal will be to optimize the customer journey through personalized, thrilling experiences. With a strong background in Machine Learning and practical experience in building and implementing large scale predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.Job Description:Your day to day Develop and implement advanced ML models, such as graph neural networks and deep learning models, to solve critical business problems related to recommendation of PayPal products, personalizing product experiences including UI flows, and optimizing the lifecycle of the customers on the platform.Design and deploy scalable generative AI solutions as part of the ecosystem.Design and deploy scalable ML/AI solutions that enhance PayPal's ability to provide a seamless customer experience, by working closely with our engineering group and PayPal's Platforms organization.Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise.What do you need to bring:Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 3+ yrs. of relevant industry experience or PhD with 2+ yrs. of relevant industry experienceExperience in any one of Recommendation, Ranking, Product and Marketing domains a big plusProficient in Programming languages such as Python, SQL. Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch. GCP/Hadoop and big data experience – an advantageExperience leading ML projects and great track record delivering solutions with attention to detail and efficiencyExperience shipping Realtime models a big plusFluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insightsPayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is PayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is $84500 to $204600For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspxCommitment to Diversity and InclusionPayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.Belonging at PayPal:Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please Join our Talent Community.We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.Notice to Applicants and Employees who reside within New York city. Click https://careers.pypl.com/Contact-Us/default.aspxto view the notice.REQ ID R0118714",Not Applicable,Machine Learning Engineer
+203,2024-11-26,San Mateo,California,Eve,https://www.eve.legal/,"Eve optimizes your casework from intake to resolution.
+Seamlessly integrate an AI case assistant that optimizes your firm into an AI-native powerhouse - securely and responsibly.","Company Overview:Eve is an industry leader in legal tech, empowering plaintiff attorneys with AI-driven solutions to achieve better outcomes for their clients. Our core values—Excellence, Visionary Innovation, and Elevation—drive everything we do. We are committed to providing tools that transform the legal industry and support our clients' success at every step. Targeting a total addressable market (TAM) of over $500 billion, we are positioned at the forefront of a rapidly expanding industry.Our mission is to re-imagine the way the legal industry operates by creating “AI-native law firms” that are managed, scaled, and operated by software rather than armies of people. Our initial focus is building a platform that empowers plaintiff lawyers in case work, leveraging advanced AI models, thoughtful design, and precise engineering. Our team is composed of industry experts and engineers with experience at innovative companies like Rubrik, Facebook, and Scale.Why Join EveTransformative Mission: We are pioneering the application of AI in the legal industry, crafting solutions that redefine how law firms operateSmall, Talent-Dense Team: Join a flat, agile team of top talent passionate about revolutionizing the legal industryRapid Innovation: Be part of a fast-paced environment where your contributions directly influence the success of our missionWorld-Class Expertise: Work with a team that values expertise, creativity, and impact to build solutions with lasting significanceWhat You Will Accomplish As a Machine Learning EngineerDevelop AI-Powered Solutions: Design and implement AI systems that understand, analyze, and provide intelligent assistance across various legal tasks and queriesOptimize and Integrate Models: Architect and optimize AI systems by combining multiple models and tools, solving real-world legal problems with precision and scalabilityAdvance AI Reasoning: Improve the reasoning capabilities of our AI systems to enhance decision-making and support complex legal domainsBuild Rigorous Evaluation Frameworks: Establish frameworks that rigorously measure and evaluate AI performance, ensuring meaningful, reliable outcomesCollaborate with Domain Experts: Partner closely with legal professionals to translate their expertise into technical requirements, tailoring AI solutions to legal industry needsWhat We Are Looking ForEducational Background: Bachelor’s or Master’s degree in Machine Learning, Artificial Intelligence, Computer Science, or a related fieldExperience in Complex AI Systems: Proven experience developing advanced AI systems, particularly those that deconstruct complex tasks into manageable stepsExpertise in Model Optimization: Proficiency in optimizing and fine-tuning foundational models, with a desire to push AI capabilities forwardAnalytical Skills: Strong ability to measure impactful metrics and build frameworks to assess AI performance effectivelyProblem-Solving Skills: Skilled in integrating various models and tools to create robust solutions for real-world applicationsYou Will Thrive In This Role If You Have:A passion for AI and its potential to transform traditional industries like legalAn eagerness to architect complex AI systems that solve practical, high-impact problemsCuriosity about improving AI reasoning in challenging, multifaceted domainsA collaborative spirit, excited about translating domain expertise into technical innovationsA commitment to measuring and achieving meaningful outcomes, setting high standards for AI performanceBenefits401(k) with Company MatchComprehensive Health, Dental, and Vision InsuranceUnlimited PTO for work-life balanceAn inclusive, collaborative, and innovation-driven work environmentCompensationCompensation at Eve is highly competitive and determined based on experience, seniority, and considerations of both internal and external equity, as well as location. For this position, the base salary range is between $195,000 - $255,000 USD per yearIn addition to a compelling salary and performance-based bonuses, we offer an equity component that provides meaningful ownership and the opportunity to share in the company's long-term successHybrid Work Policy:We meet in our San Mateo office from Monday to Wednesday, working remotely the remainder of the week.",Not Applicable,Machine Learning Engineer
+204,2025-04-02,Newark,California,Lucid Motors,https://www.lucidmotors.com,"We launched Lucid in 2016 to build the world’s best cars and accelerate the shift to clean energy. Our vehicles deliver best-in-class performance *and* efficiency. Equally important, we’re building a world-class team: From our state-of-the-art factory in Arizona to our global headquarters in California’s Silicon Valley, we’re recruiting high-performing people who want to help decarbonize Earth. Join us!","Leading the future in luxury electric and mobilityAt Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.Leading the Future in Luxury Electric and MobilityAt Lucid Motors, we aim to redefine the automotive experience by creating the most captivating, luxury electric vehicles that elevate human experience and push the boundaries of space, performance, and intelligence. Our vehicles are designed to be intuitive, liberating, and engineered for the future of mobility.We are committed to leading this new era of luxury electric mobility by returning to the fundamentals of great design—where every decision we make serves both the individual and the environment. Free from the constraints of convention, we empower you to define your own experience.Join a team of some of the most accomplished minds in the industry. In addition to competitive salaries, we offer a collaborative environment where innovators can make an immediate and meaningful impact. If you are passionate about building a better, more sustainable future, Lucid Motors is the place for you.We are looking for an experienced Perception Machine Learning Algorithm Engineer to join our ADAS/Autonomous Driving team. This position requires a highly skilled professional with a strong background in machine learning, computer vision, and perception algorithms, as well as solid programming expertise.As a member of Lucid’s Perception team, you will research, design, implement, optimize, and deploy state-of-the-art machine learning models that advance perception algorithms for autonomous driving. You will conduct literature reviews, develop and modify models to enhance performance, and contribute to the deployment of these models in production vehicles.Role and Responsibilities Develop and optimize perception algorithms for Level 2/3 autonomous driving systems using camera and LiDAR data. Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning. Research and integrate BEV-based transformer models for perception tasks. Collaborate with cross-functional teams to ensure seamless integration and robust implementation. Test, release, and deploy perception algorithms into Lucid production programs. Support the validation and verification of perception algorithms using prototype and pre-production vehicles. Propose innovative software algorithms to enhance future autonomous driving capabilities.Required Qualifications Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation. Proficient in Python with a focus on clean, efficient, and scalable software development. Comfortable working with large codebases and debugging complex machine learning models. Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet). Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments. Excellent communication skills and a strong team player. Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field. Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a senior position. Advanced degrees are preferred.Preferred Qualifications Experience developing BEV transformer models for perception. Proficiency in C++ with experience writing efficient, maintainable code. Practical, hands-on approach to solving complex problems in autonomous driving. Experience in testing and validating perception systems in real-world conditions. Experience working in agile development teams. Expertise in component and system integration, testing, and verification at the system and vehicle levels.Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)Base Pay Range (Annual)$136,200—$187,330 USDBy Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.",Entry level,Machine Learning Engineer - Autonomous Driving
+205,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+206,2025-04-03,Redmond,Washington,Microsoft Innovation Center,https://www.microsoftinnovationcenters.com,"Microsoft Innovation Center provides students, customers and partners with a comprehensive set of programs and services. The goal of these centers is to foster innovation and growth in local software economies.
+MIC provides access to world-class resources for students, software developers, IT professionals, academic researchers and entrepreneurs.
+
+Primary areas of focus include:
+A.	Building skills and intellectual capital through training courses, employment programs and mentoring experiences. 
+B.	Fostering industry partnerships through programs on how to work successfully with Microsoft, as well as through the cultivation of local and regional industry alliances. 
+C.	Increasing innovation at the local through hands-on engagements, such as labs geared towards the interests of ISVs, startups, partners, students, entrepreneurs.
+MIC partners with local government, academic institutions, industry organizations and software vendors with the ultimate goal of fueling long-term economic growth in the IT industry.
+","OverviewCome build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes .As a Software Engineer on AI and/or ML projects you will develop software, tools, and code to be used in support of design, infrastructure, and technology platforms including large and small language models (LLMs/SLMs). This opportunity will allow you to create and implement extensible and maintainable code and prompts for a product, service, or feature. You will partner with stakeholders to determine user requirements for a feature and consider a variety of feedback channels to incorporate insights into future designs or solution fixes. You will collaborate with others to create a clear and articulated plan for testing, assuring quality of solutions, while applying knowledge of debugging tools, logs, telemetry, and other methods to proactively flag issues. This opportunity will allow you to learn about customer scaling requirements and the application of best practices for meeting scaling needs and performance expectations, while ensuring the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. You will also consider the impact of AI technology, including applying Microsoft’s responsible AI practices.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Please note this application is only for roles based in our Redmond, Washington office and/or roles t hat are not tied to a specific Microsoft office location . For roles in other offices in the United States, please see our Careers site . Responsibilities Learns to review and break down work items into tasks with stakeholder collaboration, provide estimations, and escalate delays, while also supporting feature deployments to customers, considering user and service impacts, and adhering to best deployment practices for safety.  Collaborates with key stakeholders to define feature requirements, integrates feedback to enhance design, and establishes feedback loops for continuous improvement based on customer metrics.  Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions. Specifies or implements AI platform improvements like fine-tuning or training custom ML models.  Learns and applies coding standards and best practices through code reviews, developing maintainable and extensible code with guidance. Utilizes debugging tools to proactively and reactively address issues in product features, ensuring code quality and reliability.  Supports the identification of dependencies and design documentation for product features, learns about system interactions and back-end dependencies, and contributes to architectural processes under guidance. Produces code to test hypotheses for technical solutions and assist with technical validation efforts. Collaborates on quality assurance plans, augments test cases, and integrates automation into testing, while understanding the implications of security and compliance in system architecture.  Contributes to data analysis and feedback integration for product engineering decisions, acting as a Designated Responsible Individual (DRI) for monitoring and restoring system functionality within Service Level Agreement (SLA) timeframe. Participates in live service operations, and supports telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety.  Develops and applies best practices for reliable code building, understands global and local regulations, customer scaling requirements, and support communication with key partners across Microsoft for user experience enhancement and partner needs.  Ensures compliance with security, privacy, safety, and accessibility standards, leverages developer tools for code creation and debugging, contributes to automation in production and deployment, and proactively seeks knowledge to improve product availability, reliability, efficiency, and performance at scale.  Understands and applies Microsoft’s responsible AI practices to ensure systems meet our commitments to our customers. QualificationsRequired Qualifications Bachelor's Degree (or currently pursuing a degree) in Computer Science or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. Preferred Qualifications Bachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. OR Master's Degree (or currently pursuing a degree) in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.  Demonstrated interest in AI/ML technologies. Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $81,900 - $160,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $105,600 - $174,600 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay.Microsoft will accept applications and process offers for these roles on an ongoing basis.Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.",Entry level,"Software Engineer - AI/ML, Multiple Locations"
+207,2025-03-26,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionThe CreativeX RAPID(Real-time Ad Personalization & Insights Development) team is seeking passionate and talented MLE to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods.Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences.Key job responsibilities Quickly acquire knowledge of nouvelle technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain. Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems. Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models. Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2931274",Not Applicable,"Machine Learning Engineer, CreativeX"
+208,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+209,2024-12-21,London,,PhysicsX,https://www.physicsx.ai/,"PhysicsX is a deeptech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. 
+
+We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
+ 
+We are currently recruiting for multiple positions, however, please only apply for the role that best aligns with your skillset and career goals.","PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering.Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, andincreasing the performance of wind turbines.We are a rapidly growing company but prefer to fly under the radar to protect our customers’ confidentiality. We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning engineer to join our team. If all of this sounds exciting to you, we would love to talk (even if you don't tick all the boxes).Note: We do not provide visa sponsorship in the US. Please only apply if you have the right to work in the US.What You Will DoWork closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solvingDesign, build and test data pipelines for machine learning that are reliable, scalable and easily deployableExplore and manipulate 3D point cloud & mesh dataOwn the delivery of technical workstreams Create analytics environments and resources in the cloud or on premise, spanning data engineering and science Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoptionWhat You Bring To The TableExperience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings. Experience in ML/Computational Statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouragedA track record of scoping and delivering projects in a customer facing roleSoftware engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly Excellent collaboration and communication skills - with teams and customers alike A background in Physics, Engineering, or equivalentWhat We OfferBe part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Work sustainably, striking the right balance between work and personal life. Receive a competitive compensation and equity package, in addition to plenty of perksWe value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.Final salary will be based on experience.",Not Applicable,Machine Learning Engineer
+210,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+211,2025-03-27,San Mateo,CA,Upstart,http://www.upstart.com/about,"Upstart (NASDAQ: UPST) is the leading AI lending marketplace, connecting millions of consumers to more than 100 banks and credit unions that leverage Upstart’s AI models and cloud applications to deliver superior credit products. With Upstart AI, lenders can approve more borrowers at lower rates across races, ages, and genders, while delivering the exceptional digital-first experience customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload. Founded in 2012, Upstart’s platform includes personal loans, automotive retail and refinance loans, home equity lines of credit, and small-dollar “relief” loans. Upstart is based in San Mateo, California, and also has offices in Columbus, Ohio, and Austin, Texas.
+
+All mortgage lending conducted by Upstart Mortgage, LLC NMLS No. 2443873. Equal Housing Opportunity.","About UpstartUpstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload.Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!The Team: Upstart’s Machine Learning, Personal Loan Underwriting  team is focused on leveraging machine learning to power Upstart’s underwriting models. This team is responsible for building the underwriting model which determines credit decisioning at Upstart. This model plays a central role in Upstart’s overall performance as a company and includes numerous challenging problems to solve.As a Machine Learning Engineer, PL UW  at Upstart, you will collaborate with our Research Scientists, Data Scientists, and other engineering departments. Your work will impact the team in a number of ways:You will increase ML productivity through better software and infrastructure; and improve how we research, train, deploy, serve and monitor our models. You will reduce the time it takes to go from idea to production, and enable us to test out new ideas. This will all manifest in us delivering on our critical mission of enabling access to credit more effectively.You will design and implement code and algorithms to help improve our model’s predictive powerHow You’ll Make An ImpactBuild repeatable workflows and automation that enables scientists to spend more time on high leverage tasks (methodology, writing, analysis) and less on keeping the lights on or getting things to runDiscover and develop a short and long-term roadmap of engineering improvements on the PL UW teamExplore new algorithms and methodologies for our machine learning modelsInterface cross-functionally with other engineering teams (data engineering, machine learning platform, pricing, and growth software engineering), to provide feedback and requirements, so that we can build high-quality systems end-to-endQualificationsEducation and ExperiencePhd in a quantitative field with 0+ years of relevant experienceMasters in a quantitative field with 2+years of relevant experienceBachelors in a quantitative field with 4+years of relevant experienceExperience in PythonExperience with Machine LearningPosition location This role is available in the following locations: RemoteTravel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.What you'll love: Competitive Compensation (base + bonus & equity)Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savingsEmployee Stock Purchase Plan (ESPP)Life and disability insuranceGenerous holiday, vacation, sick and safety leave Supportive parental, family care, and military leave programsAnnual wellness, technology & ergonomic reimbursement programsSocial activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteeringCatered lunches + snacks & drinks when working in officesAt Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).United States | Remote - Anticipated Base Salary Range$123,200—$170,500 USDUpstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together.If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.comhttps://www.upstart.com/candidate_privacy_policy",Associate,Machine Learning Engineer
+212,2025-03-27,San Francisco,California,Sensor Tower,https://www.sensortower.com,"Sensor Tower is the leading source of mobile app, digital advertising, retail media, and audience insights for the largest brands and app publishers across the globe. 
+
+With a mission to measure the world’s digital economy, Sensor Tower’s award-winning platform delivers unmatched visibility into the mobile app and digital ecosystem, empowering organizations to stay ahead of changing market dynamics and make informed, strategic decisions. 
+
+Founded in 2013, Sensor Tower’s mobile app insights have helped marketers, app, and game developers demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Audience, Retail Media, and Digital Advertising Insights (formerly Pathmatics), helping brands and advertisers understand their competitor’s advertising strategies and audiences across web, social, and mobile. ","About this role:We are seeking an outstanding Machine Learning Engineer interested in working in the hot space of mobile and digital analytics to join the Data Science organization at Sensor Tower. Sensor Tower is the gold standard for the mobile app market and first party data, leveraging a variety of data sources, machine learning algorithms, artificial intelligence, data science methodologies, and software engineering to create market estimates, market insights, and other KPI’s for mobile apps and publishers and beyond. We need self-driven and motivated performers who can take full ownership of the products they work on to join our stellar team. Salary: $120,000 - 150,000What you will focus on:Working with stakeholders to gather requirements, refine product concepts, and implement the data modeling and algorithm development needed to turn them into reality.Supporting advanced customer requests.Helping create, customize, and optimize model, metrics, and implementation pipelines.Writing tests for implementation of machine learning models.Developing the heart of Sensor Tower’s products, current and future.Creating and customizing Sensor Tower models and metrics.Identifying relationships within large and seemingly unrelated data.Analyzing public data that could be used to complement current and future projects.Understanding the entire Sensor Tower system from a data point of view.Working with other Machine Learning Engineers, Data Scientists, Data Analysts, and Software Engineers to deliver high quality data products.Identifying performance bottlenecks and providing optimization solutions.Creating quality indicators and diagnostics tools.Communicating well and clearly with teams and team members across multiple time zones, countries, and job functions.Helping establish cross-functional interactions to increase efficiency of successful deliverables.What we are looking for:A passion for everything to do with data and already have top-level experience working in data modeling and quantitative analysis.4+ years experience performing business intelligence, data modeling, machine learning algorithm development, or quantitative analysis.An ability to solve challenging problems and provide innovative practical solutions quickly and efficiently.Excellent data science and machine learning engineering skills, including a working knowledge of statistics packages and languages (eg. Python or R, Jupyter, SQL), knowledge of common statistical modeling techniques, and the ability to critically analyze data with probing questions and individual research.Experience with data visualization and dashboard tools is a plus, such as Tableau Software.Strong presentation skills. Comfortable explaining data solutions in a business context to multiple stakeholders, e.g. product managers, senior management, etc.Flexible mindset and the ability to prototype and change direction rapidly as research evolves.A strong drive to continue learning and developing.Nice to haves:3+ years work experience performing business intelligence, data modeling, machine learning algorithm development, quantitative analysis for Internet or technology companies. (Experience in financial or medical industries can also be helpful).MS (PhD preferred) in Statistics, Applied Mathematics, Computer Science, Econometrics, Computational Biology or related field.A passion for digital content and mobile apps.Experience with software engineering and writing production-level code.Experience working with mobile market intelligence data.Experience with big data frameworks using Spark.About Sensor TowerSensor Tower cultivates responsibly sourced market intelligence that provides visibility into the trends shaping the global digital economy. Our customers use these insights to help them make better business decisions.Why Sensor Tower?Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Our benefits for full-time positions include:- Flexible time off so employees can shape their time away from work.- Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.- Monthly internet stipend and a one-time $500 home office stipend.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.Fraud warning:It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.To all recruitment agencies:Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.",Associate,Machine Learning Engineer
+213,2025-04-05,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Waymo ML Infrastructure team accelerates Waymo's mission by building the best ecosystem for sustainably innovating and shipping ML-powered intelligence. Our primary stakeholders are Research, Production, and Hardware teams, powering state-of-the-art models in Perception and Planning, core to our autonomous driving software. We provide best-in-class solutions for the entire model development lifecycle, collaborating closely with Google. Developer productivity, scale, and efficiency are core tenets. This role is a limited duration, at-will role to support projects across on the ML Infrastructure team, expected to take approximately 2 years.You WillReport into an Engineering ManagerWork on an exciting roadmap to deliver new Waymo productsBe a core contributor across to Waymo's ML Infra stack, building tooling and systems across the ML development ecosystem, such as data mining, data labeling, data management, ML evaluation, ML resources management, with the ultimate goal of enabling a smoother development experience and faster iteration speedYou HaveBS in Computer Science, Robotics, a similar technical field of study, or equivalent practical experienceHigh customer focus and attention to detailProficiency in C++, Python, or TypeScriptWe Prefer2 years of professional experience on infrastructure projectsBe customer-centric, and be willing to go above & beyond to solve user problemsPassionate about building internal infrastructure or toolingsThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.This position may also be eligible to participate in Waymo’s equity incentive plan and generous Company benefits program, if applicable.Salary Range$136,000—$173,000 USD",Entry level,"Software Engineer, ML Infrastructure, Limited Duration"
+214,2025-04-07,San Diego,CA,Qualcomm,https://www.qualcomm.com/,Delivering intelligent computing everywhere.,"CompanyQualcomm Technologies, Inc.Job AreaEngineering Group, Engineering Group > Modem Technologies SoftwareGeneral SummaryWe are seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team.The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems.Key ResponsibilitiesDesign and implement RAG-based solutions to enhance LLM capabilities with external knowledge sourcesDevelop and optimize LLM fine-tuning strategies for specific use cases and domain adaptationCreate robust evaluation frameworks for measuring and improving model performanceBuild and maintain agentic workflows for autonomous AI systemsCollaborate with cross-functional teams to identify opportunities and implement AI solutionsMinimum Qualifications Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.Required QualificationsBachelor's or Master's degree in Computer Science, or related technical field3+ years of experience in Machine Learning/AI engineeringStrong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)Practical experience with LLM deployments and fine-tuningExperience with vector databases and embedding modelsFamiliarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)Strong understanding of RAG architectures and implementationPreferred QualificationsExperience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)Knowledge of prompt engineering and chain-of-thought techniquesExperience with containerization and microservices architectureBackground in Reinforcement LearningContributions to open-source AI projectsExperience with ML ops and model deployment pipelinesSkills And CompetenciesStrong problem-solving and analytical skillsExcellent communication and collaboration abilitiesExperience with agile development methodologiesAbility to balance multiple projects and prioritiesStrong focus on code quality and best practicesUnderstanding of AI ethics and responsible AI developmentQualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.Pay Range And Other Compensation & Benefits$104,000.00 - $156,000.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.If you would like more information about this role, please contact Qualcomm Careers.3072645",Not Applicable,Machine Learning Engineer - Generative AI
+215,2025-03-14,Palo Alto,California,LVIS,https://www.lviscorp.com,"LVIS is a leader in cutting edge neural information analysis technologies that can decode brain networks and find cures for neurological diseases. LVIS owns patented technologies and our team includes leaders with strong expertise in neuroscience and engineering from Stanford University. LVIS has been selected to be a member of the Stanford StartX community and the NVIDIA inception program. We have an international team with our headquarter located in Palo Alto, California, USA and we have an office in Gangnam, Seoul, South Korea.","Company DescriptionLVIS, through our advanced brain network analysis tools, provides Live Visualization to innovate how neurological diseases are diagnosed and treated. LVIS is a leader in cutting edge neural information analysis technologies that can decode brain networks and find cures for neurological diseases. LVIS owns patented technologies and our team includes leaders with strong expertise in neuroscience and engineering from Stanford University. LVIS has been selected to be a member of the Stanford StartX community and the NVIDIA inception program. We have an international team with our headquarter located in Palo Alto, California, USA and we have an office in Gangnam, Seoul, South Korea. We are looking for talented individuals to join us in transforming the neurology health care industry.LVIS provides an environment where everyone is expected to grow with the company. We are looking for self motivated team members who will be at the leading edge of technology.ResponsibilitiesDevelop and maintain APIs: Deploy machine learning models as APIs and build scalable API servicesOptimize machine learning workloads on the cloud: Improve performance and cost-efficiency of ML models on AWSEnsure operational stability: Design and implement real-time data processing, logging, monitoring, and model performance tracking systemsDeploy ML models in real-world environments: Ensure reliable deployment and management of ML models and data drift in productionUtilize GPU and GPU clusters: Configure and optimize GPU-based environments for model training and inference (on Cloud and on-premise)Build MLOps pipelines on AWS and Kubernetes: Deploy and manage containerized ML workflows in Kubernetes environmentsBasic QualificationsBachelor's degree or higher in Computer Science, Data Science, AI, or related fields3+ years of experience in MLOps or ML EngineeringExperience of ML related programming languages and frameworks (Python, PyTorch, TensorFlow, etc.)Experience deploying and managing ML models using tools like MLflow, TensorFlow Serving, or TorchServeHands-on experience with AWSProficiency in managing and orchestrating containers using Kubernetes and DockerExperience with GPU-based model training and optimizationExperience building large-scale data processing pipelines (Airflow, Kafka, etc.)Preferred QualificationsHands-on experience with CI/CD pipelines (Jenkins, ArgoCD, etc.)Experience in large-scale AI model servingKnowledge of real-time data streaming and batch processingPreferably DevOps experience along with MLOps",Entry level,Machine Learning Operations (MLOps) Engineer
+216,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+217,2025-03-30,New York,NY,S&P Global,http://www.spglobal.com,"S&P Global provides governments, businesses, and individuals with market data, expertise, and technology solutions for confident decision-making. Our services span from global energy solutions to sustainable finance solutions. From helping our customers perform investment analysis to guiding them through sustainability and energy transition across supply chains, our solutions help unlock new opportunities and solve challenges.
+ 
+We are widely sought after by many of the world’s leading organizations to provide credit ratings, competitive benchmarking and data driven analytics in global capital markets, commodity, and automotive markets. Our divisions include S&P Global Market Intelligence, S&P Global Ratings, S&P Global Commodity Insights, S&P Global Mobility, S&P Dow Jones Indices, and the renowned S&P 500 index. Additionally, our S&P Global Sustainable1 brings sustainability benchmarking, analytics, and evaluations together, to help customers achieve their sustainability goals.
+ 
+See the latest research & insights at www.spglobal.com","Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and more.Kensho is looking for ML Engineer interns to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Extract. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production.Are you looking to leverage your teammates' diverse perspectives to solve hard problems? If so, we would love to help you excel here at Kensho. You will be working on a team with experienced engineers and have an opportunity to learn and grow. We take pride in our team-based, tightly-knit startup Kenshin community that provides our employees with a collaborative, communicative environment that allows us to tackle the biggest challenges in data. In addition, as an intern you will have the opportunity to attend technical and non-technical discussions as well as company wide social events.We value in-person collaboration, therefore interns are required to work out of the Cambridge HQ or our New York City office!Technologies & Tools We UseAgentic systems: Agentic Orchestration, Information Retrieval, LLM code generation, LLM tool utilization, Multi-modal Embeddings, Multi-turn Conversationality, Textual RAG systemsCore ML/AI: DGL, GNNs, HuggingFace, LightGBM, NVIDIA NeMo, PyTorch, SKLearn, Transformers, XGBoostData Exploration and Visualization: Jupyter, Matplotlib, Pandas, Weights & BiasesData Management and Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, Qdrant, S3, SQLiteDeployment & MLOps: Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, Kubernetes, Ray, vLLM, WhyLabsWhat You’ll DoAssist in conducting original work on large proprietary unstructured data and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value.Design, build, and maintain scalable production-ready ML systemsParticipate in the ML model lifecycle, from problem framing to training, deployment, and monitoring in productionPartner with our ML Operations team to deliver solutions for automating the ML model lifecycle, from technical design to implementationWork in a cross-functional team of ML Engineers, Product Managers, Designers, Backend & Frontend Engineers who are passionate about delivering exceptional productsWhat We Look ForOutstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine LearningExperience with advanced machine learning methodsStatistical knowledge, intuition, and experience modeling real dataExpertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)Demonstrated effective coding, documentation, and communication habitsStrong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.Job ID: 307256Posted On: 2024-12-20Location: Cambridge, Massachusetts, United States",Not Applicable,Machine Learning Engineer - Summer Intern 2025
+218,2025-03-20,Santa Clara,CA,Tiger Analytics,http://www.tigeranalytics.com,"In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. 
+
+Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. 
+
+If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.","Tiger Analytics is looking for experienced Machine Learning Engineers with LLM / NLP expertise to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:RequirementsHighly Skilled in Python and familiarity with libraries and frameworks TensorFlow, PyTorch, Hugging Face Transformers, etcProven experience designing, develop, and implement machine learning models with a focus on NLP and LLM applications. Extensive experience with NLP techniques and tools such as tokenization, named entity recognition, sentiment analysis, etcExperience with performing data preprocessing, feature engineering, and model training on large datasetsExperience with Fine-tune and optimizing LLMs such as GPT, BERT, or similar architectures for specific use casesHands-on experience with LLMs like GPT, Llama, BERT or similar modelsExperience building & supporting AWS architecture and using AWS services. At least 5 to 6 years of total experience and a minimum of 2 to 3 years of experience with the above skillsFamiliarity with Agile Development principlesExperience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithmsExperience with software engineering tools, such as Eclipse, Git, and othersAble to write clean, maintainable code, and read code created by othersHighly collaborative, fast learner, willing to jump in and help wherever neededEnthusiasm for learning and experimenting with new technologies, tools, and processesBenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.",Mid-Senior level,Machine Learning Engineer (LLM / NLP)
+219,2025-04-05,Incline Village,Nevada,Socure,https://www.socure.com,"Socure is the leading platform for digital identity verification and trust. Its predictive analytics platform applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet to verify identities in real time. The company has more than 2,000 customers across the financial services, government, gaming, healthcare, telecom, and e-commerce industries, including four of the top five banks, seven of the top 10 card issuers, three of the top MSBs, the top payroll provider, the top credit bureau, the top online gaming operator, the top Buy Now, Pay Later (BNPL) providers, and over 250 of the largest fintechs. Marquee customers include Chime, SoFi, Varo, Robinhood, Public, Stash, Gusto, and DraftKings. Socure customers have become investors in the company including Citi Ventures, Capital One Ventures, MVB Bank, and Synchrony. Additional investors include Accel, T. Rowe Price, Bain Capital Ventures, Tiger Global, Commerce Ventures, Scale Venture Partners, Sorenson, Flint Capital, Two Sigma Ventures, and others.
+
+Socure has received numerous industry awards and accolades, including named to the 2021 & 2022 Forbes Cloud 100 List, Forbes’ Fintech 50 List 2021, and Forbes’ America’s Best Startup Employers 2021, being named to CB Insights: The Fintech 250 for the third year in a row, being awarded Best New Technology Introduced Over the Last 12 Months—Data and Data Services at the 2020 American Financial Technology Awards (AFTAs), being ranked number 70 in Deloitte’s Technology Fast 500™, being listed as a Gartner Cool Vendor, being recognized by Forbes as one of the Top 25 Machine Learning Startups to Watch, being awarded Finovate’s Award for Best Use of AI/ML, to name a few. Founder/CEO Johnny Ayers has also been recognized by Goldman Sachs as one of the 100 Most Intriguing Entrepreneurs of 2021 and as an EY Entrepreneur of the Year 2022.","Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies.Listen To Why Some Of The World’s Top Technology Investors See The Enormous, Transformative Potential In Socure’s Mission And Productshttps://www.youtube.com/watch?v=ifM9_jPQCv8OverviewWe are looking for highly motivated and talented Associate Machine learning Engineers to join our growing AI Platform team. This role is ideal for recent graduates from top universities who have demonstrated strong academic performance and hands-on experience with machine learning projects. You will have the opportunity to work on cutting-edge ML infrastructure, model development, and deployment at scale, collaborating with a dynamic team of engineers and data scientists.If you have a strong foundation in machine learning, software engineering, and AI, and are eager to contribute to real-world applications, we encourage you to apply.Role And ResponsibilitiesDevelop and optimize feature engineering strategies to support ML models.Build and maintain scalable ML systems for model training, inference, and deployment.Design and implement end-to-end ML pipelines, including data preprocessing, model training, and evaluation.Collaborate with data scientists, software engineers, and product teams to enhance ML capabilities.Implement best practices in version control, MLOps, and model reproducibility.Work with cloud-based infrastructure to deploy and manage ML models efficiently.Leverage workflow orchestration tools like Apache Airflow and AWS Step Functions to automate and manage ML pipelines.Contribute to research and development efforts to enhance our AI capabilities.Required QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field from a top university.Strong academic record with a high GPA and/or with strong fundamentals in computer science and AI.1-2 years of industry or coop/internship experienceSolid programming skills in PythonExposure/experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Familiarity with cloud platforms such as AWS(preferred), GCP, or AzureUnderstanding of MLOps practices, version control (Git), and model deployment techniques.Exposure/experience with workflow orchestration tools like Apache Airflow or AWS Step Functions for ML pipeline automation.Strong fundamentals in data structures, algorithms, and distributed computing principles.Exposure/experience with database technologies (SQL, NoSQL, or data warehouses like Snowflake or Redshift).Strong analytical and problem-solving skills, with a passion for AI and machine learning.Preferred QualificationsExposure/experience with feature engineering and feature stores.Exposure/experience with big data technologies (Apache Spark, Kafka).Exposure/experience with CI/CD pipelines for ML applications.Exposure/experience with model monitoring and observability tools Exposure/experience with Generative AI (GenAI) techniques, including LLM fine-tuning, prompt engineering, and model deploymentStrong communication skills and ability to work in a collaborative environment.A strong sense of continuous learning mindset and humility with a willingness to seek feedback and improveSalary Disclosure:Base Salary range: $115,000 - $135,000This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job related factors. Socure's compensation and rewards package for full time roles includes a market competitive salary, equity, comprehensive benefits, and, for applicable roles, commissions plans or an annual discretionary performance bonus. Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.We empower excellence by providing great perks and benefits to both our fully remote employees in North America and our hybrid teams in India.To learn more, check out Socure’s Career Page: https://www.socure.com/company/careersSocure is an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.To learn more about how our work is changing the world, check out these articles and videos:Socure is Forbes' 2022 Best Startup Employer: https://bit.ly/3fbNw8SSocure Accelerates Onboarding for 50+ Crypto, Neobanks, and More: https://bit.ly/3dwN2K7Socure's Impact on Financial Inclusion: https://www.youtube.com/watch?v=Y6nBc6s1wsUSocure's Impact on Fraud Prevention: https://www.youtube.com/watch?v=M46UG8QyKe4Archives & Press Releases: https://learn.socure.com/about/press-releasePlease note that we do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Services Agreement, we will not consider, or agree to, payment of any referral compensation or recruiter fee. In the event that a recruiter or agency submits a resume or candidate without a previously signed agreement, we explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.",Internship,Associate Machine Learning Engineer
+220,2025-04-09,Oakland,California,Pacific Gas and Electric Company,http://www.pge.com,"Pacific Gas and Electric Company, incorporated in California in 1905, is one of the largest combination natural gas and electric utilities in the United States. Based in San Francisco, the company is a subsidiary of PG&E Corporation.
+
+There are approximately 20,000 employees who carry out Pacific Gas and Electric Company's primary business—the transmission and delivery of energy. The company provides natural gas and electric service to approximately 15 million people throughout a 70,000-square-mile service area in northern and central California.
+
+Fast Facts
+
+* Service area stretches from Eureka in the north to Bakersfield in the south, and from the Pacific Ocean in the west to the Sierra Nevada in the east
+
+* 141,215 circuit miles of electric distribution lines and 18,616 circuit miles of interconnected transmission lines
+
+* 42,141  miles of natural gas distribution pipelines and 6,438 miles of transportation pipelines
+
+* 5.1 million electric customer accounts
+
+* 4.3 million natural gas customer accounts","Requisition ID # 164712Job Category: Accounting / FinanceJob Level: Individual ContributorBusiness Unit: Electric EngineeringWork Type: HybridJob Location: OaklandDepartment OverviewThe System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E’s Electric Reliability Strategy and initiatives. This team of forward–thinking individuals will be tasked with deploying technology and infrastructure and influencing the organization to achieve the company’s reliability goals. The team is responsible for implementing programs required to modernize the electric grid allowing for safe, resilient and efficient operations. The team participates in a cross functional team of internal and consulting participants being tasked with leading the transition of a project from development and testing to being operational for each phase of each project.This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory.PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.Bay Minimum: $102,000Bay Maximum: $162,000&/ORCA Minimum: $97,000CA Maximum: $154,000This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.Position SummaryWithin the System Performance, Reliability and Resiliency Strategy team, this position reports to the Sr Manage, Predictive Analytics and is responsible for developing industry leading anomaly detection models that will identify pending failures of the electric transmission and distribution grid. In this role the successful candidate will be uniquely positioned at the forefront of utility industry analytics. Working as part of cross functional teams, including data engineers, data scientists, technologist, and subject matter experts – this individual will lead the development of data science capabilities that could lead to paradigm changes in how the utility operates.Job ResponsibilitiesSupports the research and application of knowledge of existing and emerging data science principles, theories, and techniques to inform business decisionsSupports the creation of data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data setsExtracts, transforms, and loads data from dissimilar sources from across PG&E for their machine learning feature engineering.Supports the application of data science/ machine learning//artificial intelligence methods to develop defensible and reproducible predictive or optimization models, Supports the development of mathematical models and AI simulations that represent complex business problemsWrites and documents python code for data science (feature engineering and machine learning modeling) under senior data scientist guidance.Communicates technical information clearly to business. Contributes to the development of summary presentationsSupports peer review exercises QualificationsMinimum:Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.2 years in data science OR no experience, if possess Master’s Degree, as described aboveDesired:Master’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experienceFamiliarity with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them). Knowledge of software engineering, statistics, and machine learning techniques as they apply to data science modeling and deployment.Knowledge of commonly used data science and/or operations research programming languages, packages, and toolsHands-on experience of data science/machine learning models and algorithmsAbility to clearly communicate complex technical details and insights to colleagues and stakeholders.Knowledge of the mathematical and statistical fields that underpin data scienceKnowledgeable of best practices in software engineering, statistics, and machine learning techniques for data science.Knowledge of systems thinking and structuring complex problemsAbility to collaborate and/or work on a team",Entry level,Data Scientist
+221,2025-03-29,Mooresville,NC,"Lowe's Companies, Inc.",https://talent.lowes.com,"Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 20 million customers a week in the United States. Lowe’s and its related businesses operate or service more than 2,200 home improvement and hardware stores and employ over 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. For more information, visit Lowes.com.
+","Your ImpactThe primary purpose of the Data Scientist is to provide analytical capabilities to support data science initiatives. This position solves complex problems with close supervision and direction of senior colleagues and is responsible for the data science support of various company initiatives. Finally, this position supports the development of automated self-service products and solutions for business partners to effectivelyinterpret data and build data products.What You Will Do Mines and extracts data and applies statistics, machine learning, and deep learning algorithms necessary to derive insights and to develop solutions providing a competitive advantage to the business.  Conducts deep statistical analysis, including predictive and prescriptive modeling, to provide a competitive advantage to the business.  Works with more senior level scientists on the team to translate requirements into an analytical approach; asks the right questions to understand the problem.  Contributes to or builds the solution to solve a business problem; helps identify the sources, methods, parameters, and procedures to be used; may also communicate with stakeholders on project scope and timelines.  Gathers and assimilates data according to the project plan; works with the team to discuss analysis and findings.  Prepares final recommendations, ensuring solutions are scalable and implementable in the business.  Executes plan for measuring impact based on discussions with partners and senior team members.  Executes projects with full adherence to enterprise product and project management practices by participating in formal and informal training.  Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies and applies it to projects. Required Qualifications: 2 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise setting (fewer years may be accepted with a master’s or doctorate degree) 1 year of SQL and programming experience (fewer years may be accepted with a master's or doctorate degree) Bachelor's degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field (or equivalent work experience in lieu of degree)Preferred Qualifications: 1 year of experience using multiple data systems and sources 1 year of experience working with cross-functional partners Master's degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic fieldAbout Lowe’sLowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.Pay Range: $75,300.00 - $143,100.00 annually Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.",Entry level,Data Scientist
+222,2024-11-27,San Francisco,,Nudge,nudge.com,"Helping the brain work better with focused ultrasound.
+
+Treating neurological disorders today and enhancing human experience tomorrow.","About NudgeNudge’s goal is to help the brain work better by creating a generalized product that can precisely stimulate and image the brain, entirely non-invasively. We aim to achieve this by developing cutting-edge ultrasound technology to treat neurological and psychiatric disorders, like addiction, and eventually, creating a mainstream consumer device that can modulate mood, focus, sleep, and more.To realize those ambitions, we’re growing a scrappy, multidisciplinary, science and engineering team focused on making the best technology possible for interfacing with the whole brain, and a product that has the potential to improve people’s daily lives more than any other.About The TeamThe engineering team at Nudge works at the intersection of neuroscience, software, machine learning, firmware, electrical engineering, mechanical engineering, and acoustics. Our team includes engineers who have led development of the surgical robot at Neuralink, built augmented-reality hardware at Apple, and designed parts on SpaceX Starlink satellites. We are scrappy, hands-on, and welcome exceptional individuals who are passionate about their craft and energized by working on impactful, technical challenges.About The RoleArchitect models that reconstruct detailed mental states from MRI and ultrasoundDevelop techniques for accurate and performant structural and functional imagingInnovate methods to cleverly accelerate acoustic physics simulation, off-prem and on-deviceAbout You3+ years of experienceCompensation Range$140,000 - $290,000/year + equityWhile this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range.",Mid-Senior level,"Software Engineer, Machine Learning"
+223,2025-04-03,Boston,MA,CodaMetrix,http://www.codametrix.com,"CodaMetrix's cutting-edge, multi-specialty autonomous medical coding platform leverages AI to continuously learn from and act upon the clinical evidence in the EHR. We autonomously translate clinical notes into billing codes that satisfy coding requirements, ensuring claims consistently represent the unique and complete episode of care, reducing human coding workload, while improving the efficiency and optimizing the quality of medical coding.","CodaMetrix is revolutionizing Revenue Cycle Management with its AI-powered autonomous coding solution, a multi-specialty AI-platform that translates clinical information into accurate sets of medical codes. CodaMetrix’s autonomous coding supports improved patient care and drives efficiency under fee-for-service and value-based care models. We are passionate about getting doctors away from the keyboard and back to clinical care.Position OverviewWe are seeking a self-motivated and experienced Machine Learning Engineering Intern to join our team. This role is ideal for someone pursuing or holding a Master’s in Data Science, Computer Science, or a related field — with prior professional experience in Software Engineering or Machine Learning Engineering or Data Engineering.You’ll work closely with Machine Learning engineers, data scientists and application engineers to accelerate experimentation, translate research prototypes into production, and reduce technical debt. You should be able to operate independently, drive progress with minimal oversight, and deliver high-quality contributions in a fast-moving environment.Our team primarily works on Databricks (Spark/Delta Lake) and AWS infrastructure to build scalable and production-grade ML pipelines. This role requires strong cross-functional collaboration, including integrating ML models with data science workflows and application layer services to ensure smooth and reliable end-to-end user experiences.Responsibilities:Partner with researchers to build, evaluate, and productionize Machine Learning artifactsHelp clean up or refactor legacy systems and pipelines to improve maintainability, performance, and cost efficiencyContribute to the development of robust, end-to-end ML workflows on Databricks, including feature engineering, model training, evaluation, and deploymentDesign and maintain scalable data pipelines using Spark and Delta Live TablesSupport monitoring, alerting, and CI/CD workflows for ML systemsWork with AWS services (e.g., S3, Lambda, ECS, Sagemaker, etc.) as needed to integrate ML capabilities into broader systemsCollaborate across engineering, data, and product teams to iterate on prototypes and deliver results in productionPreferred Qualifications:Pursuing or completed Master’s degree in Data Science, Computer Science, or related field2+ years of relevant industry experience in ML engineering, software engineering, or data engineeringProficiency in Python and common ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, spary-nlp)Working knowledge of Spark or distributed compute frameworksHands-on experience with distributed computing, ML experimentation, and pipeline managementStrong communication skills and ability to work independentlyBeneficial Experience:Previous exposure to healthcare data, medical terminology, or regulatory frameworks (e.g., HIPAA)Experience working with EHR data, clinical notes, or coding systems (ICD, SNOMED, CPT, etc.)Building ML models and integrating them into real-time or batch production systemsFamiliarity with ML Ops best practices (e.g., model serving, MLflow)Strong focus on code quality, testing, and long-term maintainabilityFamiliarity with Databricks and AWS services and DevOps tooling (Terraform, Docker, etc.)What CodaMetrix can offer you:Our Internship and Co-op Program is a paid, full-time program for students of all years. From undergrad through PhD programs, we are devoted to helping students grow and develop their skillset in the healthcare-technology space.We want CodaMetrix to be a place where you feel welcomed, challenged, and invigorated. We offer high impact-projects, mentorship, and networking activities to all of our interns and co-ops, such as:Full exposure to the CodaMetrix experience including working with a dedicated team, and attending company-wide meetings and eventsAn assigned reporting manager for impactful professional development and feedbackSelf-driven projects specific to your focus areaProfessional development tips and workshops focused on networking, resume review, and moreMentorship opportunities designed to support your career growth and development during and after your internship/Co-opSocial events to get acquainted and network with other company employees of all levels (entry level through executive)Cohort-specific gatherings to further connect and get to know one anotherInternships will be 14 weeks and Co-ops will be 6 months in length.All Boston-based interns and Co-ops will be asked to be hybrid in our Boston, MA office (2-3 days per week). For those located outside of commuting distance, remote opportunities may still be available. Please apply if you are interested and we can consider your remote interest along with local candidates.Background Check NoticeAll candidates will be required to complete a background check upon acceptance of a job offer.Equal Employment OpportunityOur company, as well as our products, are made better because we embrace diverse skills, perspectives, and ideas. CodaMetrix is an Equal Employment Opportunity Employer and all qualified applicants will receive consideration for employment.Don’t meet every requirement? We invite you to apply anyway. Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At CodaMetrix we are committed to building a diverse, inclusive and authentic workplace and encourage you to consider joining us.Powered by JazzHR80Jd2Ca8F6",Internship,Machine Learning Engineer Intern - Master’s
+224,2024-11-06,Stanford,California,Flair Labs (YC W24),https://flairlabs.ai,"Modern AI for high growth real estate and lending. At Flair Labs, we are revolutionizing the mortgage and real estate industry with AI technology. Our mission is to empower real estate professionals to maximize engagement with clients, identify motivated buyers and sellers, and provide an elevated experience with clients.","Company DescriptionFlair Labs (YC S23) is an AI intelligence company based in Cupertino, CA, focused on revolutionizing the real estate. Their mission is to empower real estate professionals with AI solutions to enhance their interactions, identify motivated buyers and sellers, and maximize outreach. Additionally, Flair Labs analyzes and automates calls, supercharging lead generation.Role DescriptionThis is a full-time role for a Machine Learning Engineer at Flair Labs. The Machine Learning Engineer will be responsible for developing and implementing cutting-edge AI algorithms, neural networks, and statistical models for real estate applications. Additionally, the role involves pattern recognition, algorithm development, and continuous improvement of AI technologies.QualificationsStrong background in Computer Science, Neural Networks, and AlgorithmsProficiency in Pattern Recognition and StatisticsExperience with machine learning frameworks and librariesAbility to analyze and interpret complex data setsExcellent problem-solving skills and attention to detailEffective communication and team collaboration skillsMaster's or PhD in Computer Science, Data Science, or related field",Entry level,Machine Learning Engineer
+225,2025-04-05,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!Adobe Firefly’sGenerative AI Servicesteam is seekingSeniorMachine Learning Engineersfor our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers.Job ResponsibilitiesDesign and evelopmentof core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products. Design and buildML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaboratewith Adobe Research and other model developer teams with a focus on model inference strategies and productization of those modelBuild and optimizeGPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability. Foster a culture of innovation, technical excellence, and continuous improvement across the organization. What You’ll Need To SucceedMS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 5+ years of experience in machine learning, including production-scale deployments. 2+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization). Experience with GenAI frameworks and tools such asPyTorch, CUDA, Triton, TensorRT,Nvidia Dynamo, and Python. Good understanding of generative model architectures, includingdiffusion models, transformers, and GANs. Good communication and leadership skills, with a track record of driving alignment in matrixed organizations. Preferred QualificationsExperience withmodel serving, inference, orchestration, and GPU resource managementin large-scale environments. Hands-on expertise inKubernetes, distributed systems, and MLOps platforms. Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,"Machine Learning Engineer, Adobe Firefly Services"
+226,2025-03-24,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
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+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
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+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2935863",Not Applicable,"Machine Learning Engineer, AGIF | Finetuning"
+227,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Level 5"
+228,2025-03-18,,,Voltai,www.voltai.com,AI models for electronics,"About VoltaiVoltai’s mission is to re-build the physical world through developing super-intelligence to accelerate the pace of hardware innovation. Our focus is to build frontier models that could understand one of the world’s most complex technologies - semiconductor and electronics.About the RoleWe’re looking for a Machine Learning Research Engineer who thinks crazy ideas are normal, doesn’t take ‘No’ as an answer, and thrives on the bursts of dopamine that come with startup responsibilities.As a Machine Learning Research Engineer, your ultimate goal will be to build AI systems that deeply understand and innovate within the semiconductor and electronics domains, serving our customers 🙌.You will be responsible for training and fine-tuning large-scale models, including trillion-parameter neural networks, and designing systems that integrate various modalities. Your work will involve creating and optimizing both open-source and proprietary models, developing advanced search and retrieval algorithms, and building AI systems that solve complex reasoning tasks.Key Responsibilities:Train foundation models from scratch that integrate multiple modalities.Train and fine-tune large language models (LLMs) and multi-modal models (MMMs).Develop and scale trillion-parameter neural networks, along with smaller, specialized models.Design and implement models capable of solving discrete and continuous constraint reasoning tasks and graph-related challenges.Develop and evaluate interconnected systems comprising LLMs, NLP models, and retrieval algorithms.Structure and optimize data for model training, ensuring high performance and efficiency.Create data synthetically and collect it from human interactions for diverse tasks.Build and optimize both open-source and proprietary models, considering various constraints.Design and execute innovative search and retrieval algorithms.Work on building foundation models that drive various products within the electronics and semiconductor sectors.Required Skillsets:Strong software engineering skills, particularly in Pytorch, Python, CUDA, and Triton.Deep expertise in machine learning, including sequence modeling, generative models, and model architecture.Experience in pre-training and fine-tuning large multi-modal models.Proven track record of publications in top AI conferences and competitions.Experience implementing research papers into production code.Familiarity with the latest state-of-the-art techniques, including prompting and inference-time search methods.Experience in developing and managing large-scale machine learning systems.Proficiency in configuring and optimizing hardware and operating systems for maximum performance.Experience building distributed training systems for AI models in high-performance computing (HPC) clusters.Compensation PhilosophyAt Voltai, we believe that exceptional work deserves exceptional rewards. Our compensation structure is designed to reflect the value each team member brings to our pioneering efforts in the semiconductor and AI industries. For this role, we offer a highly competitive market-rate salary, tailored to the candidate's experience, expertise, and potential impact. Our approach ensures that compensation aligns with individual contributions and the long-term success of our mission.Our BenefitsAt Voltai, we believe in taking care of our team so they can focus on pushing the boundaries of innovation. Our benefits package is designed to support your well-being and fuel your professional growth.Unlimited PTO: We trust you to manage your time and know when you need a break. Recharge when you need it, no questions asked.Comprehensive Health Coverage: Your health matters. We offer top-tier medical and dental insurance to keep you and your loved ones covered.Commitment to Your Growth: At Voltai, we’re dedicated to your continuous learning and development. Whether it’s through challenging projects or opportunities for professional advancement, we invest in your journey to becoming a leader in your field.Visa Sponsorship: We support international talent and offer visa sponsorship to help you join our team, no matter where you are in the world.",Mid-Senior level,Machine Learning Research Engineer
+229,2025-03-26,San Francisco,California,EvenUp,https://www.evenuplaw.com,"EvenUp's vision is to help these injury victims get the justice they deserve, irrespective of their income, demographics, or legal representation.","EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.Why We Are Hiring a Machine Learning EngineerAt EvenUp, the Machine Learning Team is pivotal in leveling the playing field in legal disputes. We tackle challenging problems at the intersection of ML, information retrieval, and generative AI to create meaningful impact for plaintiffs and attorneys. As a Machine Learning Engineer, you will contribute to building scalable, innovative solutions in the domain of Document AI, working on complex legal data and leveraging cutting-edge techniques to deliver actionable insights and transformative results.This role provides a unique opportunity to work with a proprietary dataset, solve high-impact problems, and see your contributions lead to real-world justice.This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs.What You'll DoPioneer cutting-edge Document AI systems at the forefront of generative AI innovation, building next-generation models that go beyond traditional document processing to achieve human-level understanding of complex legal and medical documents, intelligently extract key entities and relationships, perform sophisticated multi-document reasoning, and generate contextually-aware documents that transform business workflows.Implement and advance technologies in:Information Extraction (using traditional ML, LLMs, and multi-modal LLMs for entity recognition, relationship extraction, and document structure understanding)Information Retrieval (query understanding, semantic search, hybrid retrieval architectures, and learning-to-rank models)Data Management (schema design, knowledge graphs, distributed data pipelines, and petabyte-scale processing)RAG (Retrieval-Augmented Generation) with advanced techniques like multi-hop reasoning, chain-of-thought prompting, and self-consistency checksPrompt Engineering (few-shot learning, instruction tuning, and context window optimization)LLM fine-tuning (parameter-efficient techniques like LoRA/QLoRA, instruction fine-tuning, and domain adaptation)Collaborate with domain experts (legal, healthcare, etc), product managers, and engineers to translate insights into robust machine learning systems.Create tools that empower internal teams and clients to make data-driven decisions.Mentor junior team members, promoting a culture of excellence and collaboration.What We Are Looking ForWe recognize the breadth of skills required and do not expect candidates to have experience in all areas. We seek talent with a strong foundation in machine learning, information retrieval, or data management, with particular interest in LLM and generative AI technologies.3+ years of experience in machine learning, data science, or similar technical roleStrong software engineering fundamentals and proficiency in PythonDemonstrated expertise in:Classical ML techniques (regression, classification, clustering)Deep learning frameworks (PyTorch, TensorFlow)Natural language processing and information extractionLarge language models and prompt engineeringRAG system design and implementationAdvanced RAG techniques (multi-hop reasoning, self-consistency)Vector databases and embedding techniquesModel evaluation and validation methodsExperience with:LLM fine-tuning (LoRA, QLoRA, instruction tuning)Knowledge graph construction and reasoningProduction ML system deploymentDistributed computing and data processingExcellent communication skills with ability to:Explain complex technical concepts clearlyCollaborate effectively with cross-functional teamsWrite clear technical documentationSound judgment in balancing technical tradeoffs with business needsWhy Join EvenUpBe part of a mission-driven company making a tangible impact in the lives of injury victims.Work at the cutting edge of Document AI, tackling challenging ML and data problems.Collaborate with a diverse team of experts from top tech, legal, and investment firms.Grow with a rapidly scaling company backed by world-class investors and thought leaders.If you’re passionate about solving meaningful problems, advancing ML technologies, and making a difference, we’d love to hear from you!Notice To CandidatesEvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com or @evenup.ai, or no-reply@ashbyhq.com email address.If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & PerksOur goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco, Los Angeles, and TorontoPlease note the above benefits & perks are for full-time employees About EvenUpEvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.",Entry level,Machine Learning Engineer
+230,2025-04-07,Plano,TX,Toyota North America,https://careers.toyota.com/us/en,"At Toyota, we’re known for making some of the highest quality vehicles on the road. But there is more to our story. We believe in putting people first and creating opportunities for our team members to build careers as unique as they are. As one of the world’s most admired brands, we are leading the way to the future of mobility, so everyone can move freely, happily and comfortably. We have big dreams and believe that nothing is impossible. 
+
+Ready to Dream, Do and Grow with us? Visit https://careers.toyota.com/us/en for information on career opportunities at Toyota.
+","Magnit Direct Sourcing on behalf of Toyota is currently hiring for a Machine Learning Engineer role for a temporary, onsite assignment in Plano, TX.This position is a 12-month assignment, with potential to extend. The pay range for this role is between $50.00 - $74.07/Hr. Benefits: Medical, Dental, Vision, 401K.Title: Machine Learning EngineerLocation: Plano, TX.Duration: 12 monthsDescriptionWhat we’re looking forWe are seeking a skilled Machine Learning Engineer to join our team and help transform and modernize critical data science models from legacy code and systems to modern cloud-based solutions using Python, AWS SageMaker, and Snowflake. We are looking for a candidate who excels in writing high-quality Python code that adheres to industry and internal coding standards and is proficient with our modern tech stack.In addition to development, a key focus of this role will be designing and implementing comprehensive testing strategies, including unit, integration, and end-to-end tests. Additional responsibilities will include helping to build, release, and maintain model pipelines and model APIs. This will involve working with our cloud tech stack, CI/CD pipelines, and containers, and collaborating with data scientists, machine learning engineers, DevOps, and InfoSec teams to deploy new projects and ensure the success of model releases and retraining activities.What You’ll Be DoingTransform legacy code into robust, high-quality Python code that complies with internal coding standards and includes comprehensive test coverageWork with the machine learning engineering team to develop and implement robust testing strategies, including unit, integration, and end-to-end testsBuild a maintain scalable machine learning pipelines on AWS cloud platforms using SageMaker and SnowflakeAssist in deploying machine learning models into production environments, ensuring scalability, reliability, and performanceMaintain and monitor existing pipelines and model APIs to ensure optimal functionalityWork closely with data scientists, machine learning engineers, DevOps and InfoSec teams to initiate and manage various releasesTranslate business requirements into technical solutions through effective communicationTranslate technical project details into clear documentation and intuitive diagrams that help integrate information flows with upstream and down stream teamsRequirementsYear of experience – 3 -5 Years of experience.Client is looking for someone with (Software Developer experience (60%)+ Data Science(40%) , AWS skills, (Python, SQL, SAS, Snowflake). If someone has prior SAS experience and can Transform the legacy codes from SAS to Python will be a great fit (Not Mandatory)Graduate degree in a quantitative discipline (or equivalent experience) or will be completed within three months.Proficiency in Python and SQL development.Experience with modern software development practices, including version control systems and infrastructure-as-code.At least one year of relevant work experience is requiredExperience in building and deploying machine learning models in cloud environments (AWS, Snowflake)DesiredHighest degree specifically in: Statistics, Mathematics, Physics, Engineering, Computer Science, Economics / Econometrics, Finance, Data Science, Machine Learning, AI, Financial Engineering, Computational Finance, Operational Research, Industrial Engineering. ""Active AWS Solutions Architect Associate certificationExperience with SAS (statistical analysis) programming languageExperience working with API frameworks (Flask, FastAPI) and Amazon SageMakerAbility to design and implement comprehensive testing strategies.Talented, dedicated people are an integral part of our mission to build the best workforce, working together to create the future of mobility and make the world a better place. We are always on the lookout for diverse, driven, and collaborative talent interested in performing contract work for Toyota.Click here to join our talent network and be the first in line when a new contingent job opportunity opens at Toyota through Magnit Direct Sourcing.Magnit is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.QUALIFICATION/LICENSUREWork Authorization : Green Card, US CitizenPreferred years of experience : 3 yearsTravel required : No travel requiredShift timings : 9 AM to 5 PM",Entry level,Machine Learning Engineer
+231,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $173,000-$259,000 annually.Zone B:The base salary range for this position is $164,000-$246,000 annually.Zone C:The base salary range for this position is $147,000-$220,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 4"
+232,2025-01-14,Birmingham,Alabama,ArcheHealth,www.archehealth.ai,,"We are passionate about leveraging cutting-edge technology and advanced analytics to drive growth and optimize margins for healthcare systems. Founded by a team of seasoned experts in technology, data science, and business strategy, our mission is clear: to empower organizations with the insights and tools they need to thrive in today's competitive landscape.With a relentless focus on innovation, we harness the power of data to uncover hidden opportunities and streamline operations. Whether it's through predictive analytics, machine learning algorithms, or bespoke software solutions, we tailor our approach to meet the unique needs of each client, delivering tangible results and sustainable competitive advantage.What sets us apart is our commitment to partnership and collaboration. We work closely with our clients every step of the way, from initial assessment to implementation and beyond, ensuring that our solutions are not only effective but also seamlessly integrated into existing workflows.Join us on the journey to redefine what's possible in business optimization. Together, let's unlock the full potential of technology and analytics to drive growth, enhance efficiency, and maximize margins.About The RoleWe are seeking a highly motivated Machine Learning Engineer to join a start-up engineering team working in stealth mode. The ideal candidate will have a solid background in machine learning, deep learning, and artificial intelligence, and a strong interest in developing scalable and efficient machine-learning models. As a Machine Learning Engineer, you will be involved in cutting-edge projects aimed at providing data-driven solutions and delivering valuable insights for our organization and customers.What You'll DoDevelop and deploy machine learning models, algorithms, and solutions to solve complex business problems.Collect, preprocess, and analyze data to derive valuable insights and patterns for model training and optimization.Collaborate with cross-functional teams to understand business requirements and translate them into machine-learning solutions.Implement and optimize machine learning pipelines, ensuring scalability, reliability, and efficiency of the models.Experiment with various machine learning algorithms, techniques, and frameworks to improve model performance and accuracy.Stay updated on the latest trends in machine learning, AI technologies, and incorporating innovative approaches into our projects.Conduct thorough model evaluation, testing, and validation to ensure the robustness and effectiveness of the solutions.Document and communicate technical concepts, methodologies, and findings to stakeholders and team members.Describe the specific responsibilities and job functions of the roleQualificationsBachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. 3 to 5 years of experience in machine learning, deep learning, and artificial intelligence roles, with a proven track record of developing and deploying machine learning models.Strong programming skills in Python, R, C, C++, SQL, or Java, with experience using machine learning libraries and frameworks such as TensorFlow, Keras, or PyTorch.Solid understanding of data preprocessing, feature engineering, model evaluation, and optimization techniques.Experience with big data technologies like Apache Kafka, Spark, and cloud computing platforms.Excellent problem-solving skills, analytical thinking, and attention to detail.Strong communication and collaboration skills to work effectively in a team environment.Describe the experience and attributes of the ideal candidateBenefitsCompetitive salary and benefits package for FTEsOpportunities for professional growth and developmentCollaborative and innovative work environment",Entry level,Machine Learning Engineer
+233,2025-03-19,San Francisco,California,Chalk,https://chalk.ai?utm=linkedin,"The data platform for inference.
+
+Build, deploy, and iterate faster with Chalk's feature engine.","We're hiring on-site working in person Monday through Friday in NYC and SFAbout ChalkInstead of relying on dated technologies like Spark, we built Chalk from the ground up to provide a best-in-class experience for our users – the experience we’ve always dreamed of. Chalk makes it simple to integrate new features, backtest changes, and deliver real-time machine learning and generative AI.Chalk's infrastructure is not just about powering decisions; it's about empowering developers. We deeply understand the pain points and workflows that make machine learning challenging, and Chalk was built to ease that pain.About the roleYou are an exceptional software engineer who is able to build bespoke technical solutions and partner with machine learning teams to develop Chalk’s proprietary infrastructure. You will work with customers of Chalk to build efficient feature pipelines for problems in healthcare, finance, and recommendation systems. This role will give you a unique opportunity to work closely with customers, gathering requirements and engineering feature pipelines that support use-cases like cancer detection, fraud prevention, and product recommendation. This is your opportunity to join us in-person as an early employee and make a significant impact at a high growth start-up. THIS IS A 5 DAYS A WEEK IN OFFICE ROLE.What you will doWrite code to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environmentsWork closely with our Engineering and Sales teamsAct as the the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one)Recommend new products to customers as their business evolvesHelp interview and grow the Engineering teamWhat we’re looking forTechnical background including experience writing software or building ML models2+ years experience of professional backend software engineering experienceProficient in Python, SQLAbility to collaborate effectively in teams of technical and non-technical individualsExcellent written and verbal communication, problem-solving, storytelling, and analytical skillsExperience working closely with sales teams and customers is a plus.Bonus pointsPrevious experience working with ML/data products or servicesUnderstanding of Machine Learning Ops/InfrastructurePrevious experience as a forward-deployed engineer in a high-growth startup focusing on Machine LearningBenefits⚕️Comprehensive medical, dental, and vision insurance🏦 Flexible Spending Account (FSA), Health Savings Account (HSA🦮 Expert Healthcare Guidance💵 Retirement savings🎄15 company holidays each year🏖️15 days of personal time off each year🚌 Flex Commuter Benefits🌮 Daily lunch and dinner on Chalk🥤Office is fully-stocked with drinks and snacks to fuel your work day. 🍽️ Staying late? Dinner is on us🚖 Staying even later? Grab an Uber / Lyft home on ChalkCompensationRange: $120K - $220KActual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process.Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk’s growth and us achieving our goals.The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation.InclusivityChalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.",Mid-Senior level,Machine Learning Engineer
+234,2025-04-09,Sunnyvale,CA,Juniper Networks,http://www.juniper.net,"Juniper Networks is leading the revolution in networking, making it one of the most exciting technology companies in Silicon Valley today. Since being founded by Pradeep Sindhu, Dennis Ferguson, and Bjorn Liencres nearly 20 years ago, Juniper’s sole mission has been to create innovative products and solutions that meet the growing demands of the connected world.
+ 
+Juniper Networks [NYSE: JNPR] is headquartered in Sunnyvale, California, with over 9,000 employees in 50 countries and nearly $5 billion in revenue. Our customers include the top 100 global service providers and 30,000 enterprises, including the Global Fortune 100 as well as hundreds of federal, state and local government agencies and higher educational organizations.
+
+At Juniper Networks, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement that the world has ever known. Now more than ever, the world needs network innovation to connect ideas and unleash our full potential. Juniper is taking a new approach to the network — one that is intelligent, agile, secure and open to any vendor and any network environment. 
+ 
+To learn more about Juniper, our products, and our vision for the decade ahead, visit our site at https://www.juniper.net.
+","At Juniper, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement the world has ever known.To achieve real outcomes, we know that experience is the most important requirement for networking teams and the people they serve. Delivering an experience-first, AI-Native Network pivots on the creativity and commitment of our people. It requires a consistent and committed practice, something we call the Juniper Way.Data Science Intern/ AI/ML EngineerAre you interested in applying your data science and machine learning knowledge to real world applications? This provides opportunity for building end-to-end solution using AI/ML – data explorations, identify key data correlations, feature engineering & encoding, building model, assess model and deploy the model.We at Juniper Networks are seeking continuing students who are interested in applying their Data Science & AI/ML skills during Summer 2025 Internships.We’re looking for people who are excited about:Solve real-world problems using data science AI/ML.Learn Service Demand Planning processExplore data to gain insightsModels the data, assesses and rebuildArt of possibilitiesResponsibilities include:Reviewing existing data for feature engineering of various demand and supply attributesDeveloping AI/ML model for forecasting service inventory across global service locations based on features selectedValidating the model, assess model for accuracy and confidenceIntegrating defined model with service logistics process to fulfil customer demandSetting up regular intervals to model learning with new increment dataReleasing the solution to pre-production for further quality assuranceEstablishing a near-real time prediction processThe Successful candidate must:Have either a bachelor’s or master’s degree with a major in data science and/or AI/ML. We will also accept candidates who are pursuing a Master’s degree program in data science and/or AI/ML. All candidates must have an anticipated graduation date from their degree program of December 2025 or laterHave college projects supporting developing AI/ML modelsTechnical Skills: Python, SQL, Data Science AI/ML related librariesPreferred qualifications for this role include:Candidates in Master's degree programs for Data Science and/or AI/MLWorking knowledge of data pipeline for continuous model learning and deploymentAdditional qualities of a successful candidate include (feel free to select from these or add your own):Analytical and problem-solving skills Demonstrated track record of taking initiative and being resourceful Ability to work collaboratively and solve problems Strong communication skills, especially written Leadership experience, whether formal or informal Enthusiasm! Please note the following restrictions for this position:Relocation assistance is not offeredCandidates for this role must possess authorization to work in the United States without need for current or future sponsorship.In addition, you will join our comprehensive University Talent Program that fosters personal as well as professional growth, thoroughly preparing interns for the next step in their careers. Juniper internships are project-based, allowing interns to solve important problems, make lasting impacts on their teams, and contribute to the company’s overall objectives. Interns are mentored by some of the most talented and skillful innovators in the industry; you will connect with transformative thought leaders who promote disruptive ideas in their field. You will also participate in constructive professional workshops, company-wide community service initiatives, and an executive speaker series. You’ll build lasting friendships, expand your network, and connect with colleagues from around the world.At Juniper Networks, you will not only have opportunities to build real-life, hands-on work experience – you’ll also have the chance to learn from the best and lay the groundwork for a successful career.Minimum Salary: $66,560.00Maximum Salary:$120,750.55The pay range for this position is expected to be between $66,560.00 and $120,750.55/year; however, the base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes medical benefits, 401(k) eligibility, vacation, sick time, and parental leave. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.Juniper’s pay range data is provided in accordance with local state pay transparency regulations. Juniper may post different minimum wage ranges for permanent residency petitions pursuant to US Department of Labor requirements.About Juniper NetworksJuniper Networks challenges the inherent complexity that comes with networking and security in the multicloud era. We do this with products, solutions and services that transform the way people connect, work and live. We simplify the process of transitioning to a secure and automated multicloud environment to enable secure, AI-driven networks that connect the world. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on Twitter, LinkedIn and Facebook.WHERE WILL YOU DO YOUR BEST WORK?Wherever you are in the world, whether it's downtown Sunnyvale or London, Westford or Bangalore, Juniper is a place that was founded on disruptive thinking - where colleague innovation is not only valued, but expected. We believe that the great task of delivering a new network for the next decade is delivered through the creativity and commitment of our people. The Juniper Way is the commitment to all our colleagues that the culture and company inspire their best work-their life's work. At Juniper we believe this is more than a job - it's an opportunity to help change the world...INCLUSION AND DIVERSITY AT JUNIPERAt Juniper Networks, we are committed to elevating talent by creating a trust-based environment where we can all thrive together. We know from experience that people from underrepresented groups often do not apply for roles they do not feel they meet all the criteria for. If you think you have what it takes, but do not necessarily check every single box, please consider applying. We’d love to speak with you.Additional Information for United States jobs:ELIGIBILITY TO WORK AND E-VERIFYIn compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.Juniper Networks participates in the E-Verify program. E-Verify is an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of new hires and the validity of their Social Security Numbers.Information for applicants about E-Verify / E-Verify Información en español: This Company Participates in E-Verify / Este Empleador Participa en E-VerifyImmigrant and Employee Rights Section (IER) - The Right to Work / El Derecho a TrabajarE-Verify® is a registered trademark of the U.S. Department of Homeland Security.Juniper is an Equal Opportunity workplace and Affirmative Action employer. We do not discriminate in employment decisions on the basis of race, color, religion, gender (including pregnancy), national origin, political affiliation, sexual orientation, gender identity or expression, marital status, disability, genetic information, age, veteran status, or any other applicable legally protected characteristic. All employment decisions are made on the basis of individual qualifications, merit, and business need.",Mid-Senior level,Data Science Intern/ AI/ML Engineer Intern - Summer 2025
+235,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team IntroductionThe Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly TikTok users around the world. Our mission is to build a world where ""there is no hard-to-sell good-priced product in the world"".We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. This Internship Program Runs For 12 Weeks Beginning In May/June 2025. Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.ResponsibilitiesImprove the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales. Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.QualificationsMinimum Qualifications:Currently pursuing an Master in Computer Science or a related technical disciplineAble to commit to working for 12 weeks during Summer 2025Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.Preferred QualificationsGraduating December 2025 onwards with the intent to return to degree program after the completion of the internship.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $42.75- $42.75.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (Search E-commerce) - 2025 Summer (MS)
+236,2025-04-09,Santa Clara,California,Plus,https://www.plus.ai,"Plus is a global AI-first autonomous trucking software company delivering safe autonomous trucks at scale. Headquartered in Silicon Valley with operations in the United States and Europe, Plus is named by Fast Company as one of the World's Most Innovative Companies. 
+
+Partners including Bosch, DSV, Hyundai Motor Company, Iveco Group, and Scania/MAN/International of the TRATON GROUP are working with Plus to accelerate the deployment of next-generation factory-built autonomous trucks. ","We’re seeking an enthusiastic and driven Simulation/ML Engineer Intern to join our team and work on an exciting project that blends Large Language Models (LLMs) with simulation technology. In this role, you’ll help develop a tool that can generate realistic, scalable simulation scenarios from text and real road data. This is a fantastic opportunity to apply your machine learning and robotics knowledge to real-world challenges, while working on a project that will revolutionize how simulation scenarios are created, with minimal manual effort. You’ll be at the forefront of innovation, helping us expand our capabilities in testing autonomous vehicles using large-scale simulation with LLM-driven solutions.Responsibilities:Gain a strong understanding of our simulation systems and data infrastructureDevelop machine learning models to generate realistic simulation scenarios from text, images and other types of recorded dataCollaborate with the simulation teams to refine and optimize the generated scenariosTest and improve model performance based on ground truth dataContribute to integrating the tool into existing simulation workflowsRequired Skills:Currently pursuing or recently graduated with a degree in Computer Science, Robotics, Machine Learning, AI, or a related field1+ years of experience in machine learning (Deep Learning, NLP, etc.)Experience with simulation frameworks (e.g., Gazebo, V-REP, Unity) and robotics applicationsStrong programming skills in Python and familiarity with machine learning libraries (TensorFlow, PyTorch, etc.)Preferred Skills:Experience working with Large Language Models (LLMs) and multimodal learning (text + images)Familiarity with scenario generation and counterfactual simulation techniquesKnowledge of text-to-image generation and data preparation for machine learning in simulation environments$19 - $65 an hourOur internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.",Internship,Software Engineer Intern - ML Simulation
+237,2025-01-07,San Francisco,CA,FERMÀT,https://fermatcommerce.co/3VYWycn,"Tailor Every Touchpoint. Convert more paid traffic by experimenting & owning your post-click experience.
+
+GET STARTED:
+Book a call with our team here: https://fermatcommerce.co/3VYWycn
+
+HAVE QUESTIONS?
+Drop us a message here: hello@fermatcommerce.com","FERMÀT enables eCommerce brands to transform clicks into conversions with highly-personalized , 1:1 dynamic shopping experiences.We've raised $30M+ to date and are backed by Bain Capital Ventures, Greylock, QED, and other top angels and commerce investors. Located in SF, Austin, NYC, and Bangalore, we're looking to expand our 70+ person team to build the future of eCommerce! After announcing our $17M Series A, FERMÀT is one of the fastest growing companies at this stage in the US.FERMÀT is the leading AI-native funnel management platform built for e-commerce marketers. We empower brands to create and manage delightful customer experiences across multiple channels in minutes. Our platform helps businesses transform their digital presence through intelligent, data-driven funnel creation that strengthens customer acquisition and drives measurable results. With FERMÀT, e-commerce teams can rapidly built, test and iterate on their customer journey while maintaining brand consistency across every touchpoint.About the Role:We’re searching for a visionary Machine Learning Engineer to join FERMÀT as the founding member of our AI/ML team. This is your chance to shape Pierre, FERMÀT's AI Agent, from the ground up—an intelligence engine designed to redefine commerce experiences through cutting-edge personalization, automation, and operational insights. In this role, you’ll have the unique opportunity to architect and implement scalable ML solutions, lead research projects, and stay ahead of the curve by experimenting with the latest advancements in AI, including LLMs and chatbots.As a key contributor to our engineering team, you’ll drive the strategy and hands-on implementation of MLOps pipelines, developing and deploying machine learning models that power AI-driven decision-making across our platform. This role is ideal for someone who thrives in ambiguity, loves tackling complex challenges, and is excited to shape the future of AI-powered commerce. You’ll work in a collaborative, fast-paced environment where your ideas will influence the trajectory of both our product and our company. If you’re passionate about building transformative systems and driving impact at scale, we’d love to hear from you.Responsibilities:Shape FERMÀT's long-term ML/AI strategy and align with the core product roadmapDesign, develop, and maintain end-to-end MLOps pipelines, from data ingestion to model deployment and monitoringProvide technical guidance and feedback on ML projects across the organizationExperiment with innovative machine learning architectures, incorporating LLMs into traditional ML systemsCollaborate closely with Data, Product, and Engineering teams to deploy models into production environmentsEvaluate and optimize model performance, scalability, and effectiveness, implementing necessary updatesRequirements:3+ years of experience in traditional machine learning, with exposure to modeling using LLMs4+ years of professional experience in software engineeringStrong proficiency in Python and Javascript, along with other programming languages commonly used in machine learningExpertise in data structures, data modeling, and data visualization, with strong data handling skillsSolid background in statistical analysis and data analysis for model training and evaluationExcellent communication skills for collaborating with stakeholders and translating technical conceptsExperience in big data processing and feature engineeringPrevious experience in a fast-paced startup environmentSelf-motivated with a strong sense of urgencyExceptional problem-solving skills and an aptitude for exploring novel model architecturesBachelor’s or master’s degree in computer science, data science, or a related fieldBenefitsCompetitive salary + equity packageComprehensive health, dental, and vision insurance for you and all your dependents. 401(k) plan with 4% matching4 months of paid parental leaveUnlimited PTO policy (with minimum 5 days PTO / quarter!)WFH stipendMonthly wellness stipendCompensation Range: $180K - $250K",Mid-Senior level,Machine Learning Engineer
+238,2025-04-07,New York,NY,Berkley Hunt,,"Berkley Hunt is a specialized technology recruitment firm, focused on delivering outstanding results to ambitious firms seeking top-tier talent. Founded in 2024, our commitment is to provide unparalleled recruitment services and expertise in the tech sector.
+ 
+Our team possesses in-depth knowledge and insight into the technology landscape, with a proven track record of delivering on challenging engineering and leadership searches, from niche headhunts to full team build-outs. We collaborate with a diverse range of businesses, from cutting-edge start-ups to established industry leaders, as a true partner in hiring elite-level tech talent capable of driving business success.
+ 
+At Berkley Hunt, we take pride in cultivating enduring relationships with clients and candidates alike. Leveraging our extensive industry network, market expertise, and a uniquely consultative approach, we aim to create lasting value for all stakeholders.
+ 
+Our focus areas are:
+        - Data/AI
+        - Product
+        - Software
+        - Cloud
+       ","ML Engineer | Hybrid – San Francisco or Los Angeles, CA**DUE TO FEDERAL REGULATIONS, CANDIDATES MUST BE US CITIZENS**Berkley Hunt has partnered with an innovative, VC-backed technology company focused on revolutionizing manufacturing engineering through cutting-edge AI solutions. As the demand for intelligent automation grows in manufacturing, they are addressing the complex challenges of integrating AI into real-world systems, from large language models for classification to optimizing cloud infrastructure for production deployment. To support this mission, they are looking for a product-focused AI Engineer to design, build, and deploy high-impact AI features that transform the way engineers work.About the Role:As an ML Engineer, you will work closely with cross-functional teams to shape the AI features that power the platform. You will have ownership over developing and deploying large language models (LLMs), collaborating with engineers to integrate AI capabilities into the platform’s infrastructure, and optimizing performance at scale. This role requires a combination of strong expertise in NLP, MLOps, and a solid understanding of building scalable, production-ready machine learning systems in a cloud environment.Responsibilities:Develop and fine-tune large language models (LLMs) for classifying aerospace engineering text, categorizing, and linking requirements across the platformImplement end-to-end ML features from product requirements to production deployment, including backend infrastructureCollaborate cross-functionally with app engineers, infrastructure, and security engineers to integrate AI capabilities seamlessly into our platformDesign and maintain reproducible training pipelines ensuring model consistency across different environmentsOptimize model training processes, inference performance, and associated cloud infrastructure costsEstablish MLOps best practices for versioning, monitoring, and maintaining AI systems in productionMentor team members on AI concepts and best practices to build organizational knowledgeExpectations:5+ years of professional experience developing AI/ML solutions in production environmentsStrong expertise in NLP, particularly with transformer-based models (BERT, GPT, etc.)Experience taking ML features from concept to production without extensive specialist supportFull-stack development capabilities to build complete AI featuresCross-functional collaboration skills and the ability to communicate complex AI concepts to non-specialistsIndependent problem-solving abilities and resourcefulness when tackling novel AI challengesProduct thinking – ability to translate business requirements into pragmatic AI solutionsExperience with MLOps tools and practices (model versioning, experiment tracking, CI/CD for ML)Demonstrated ability to manage and optimize AWS ML infrastructure costs and performanceExperience with containerization for ML workloads ensuring reproducibility across development and production environmentsBackground in implementing retrieval systems, semantic search, or vector databasesAdaptability and pragmatism – knowing when to use simple solutions versus building complex systems",Mid-Senior level,Machine Learning Engineer
+239,2025-04-09,San Francisco,CA,Airbnb,http://airbnb.com,"Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million Hosts who have welcomed over 1.5 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.","Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Community You Will JoinAirbnb is seeking a Software Engineer (New Grads) to join the Search Feed Team at Airbnb.Engineering at Airbnb is a diverse and dynamic field, with teams working on various aspects of the platform. The engineering department is divided into several teams, each focusing on different areas such as Payments, Relevance and Personalization, and Airbnb.org. Engineering technology that brings people together in the real world is both inspiring and daunting. We're tackling challenges in search relevance, payments, fraud prevention, discrimination, and growth all while maintaining a beautiful experience. We love to contribute to the community, from our work on testing React components to our new Android framework.The Difference You Will MakeAirbnb’s Search Feed team powers the core search experience that helps guests find their perfect stay. We develop highly impactful features, including Guest Favorites and Airbnb Categories, while collaborating closely with partners across design, product management, and data science to deliver experiences used by millions of people.Additionally, we focus heavily on strengthening our technical foundation. Our work includes architecting scalable solutions that support our growing set of search features, addressing critical codebase pain points to boost developer productivity, and building robust infrastructure that enhance performance and reliability of search features.You will play an impactful role in building world-class search experiences for millions of Airbnb users. You'll also solve architectural, performance, and scalability challenges while working with our codebase.A Typical DayWriting and testing code, implementing new features, and fixing bugsParticipating in team meetings, project plannings, and code reviewsCollaborating with product managers, designers, data scientists and other engineers to understand requirements and implementation detailsLearning the company's tech stack, codebase, and internal tools through documentation and mentorshipDocumenting your work and updating task tracking in project management toolsEngaging in regular 1:1s with your manager and working toward career development goalsYour ExpertiseThis opportunity is for recent graduates ONLY (completed Bachelor or Masters May 2023 - present) with less than 2 years of full-time work experienceKnowledge of Computer Science fundamentals including data structures, algorithms, design patterns, etc.Proficient in one or more of the following languages and tools: Java, Scala, Ruby, Ruby on Rails, C++, SQL, HTML/CSS, Javascript, Objective-C, Swift (iOS), Kotlin (Android)Leadership position, community involvement, and or teaching/mentoring experience is a plus!Work authorization for employment in the United States is required (OPT is accepted) - visa sponsorship is unavailable for this role.Your Location:This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & BelongingAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.How We'll Take Care Of YouOur job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.Pay Range$128,000—$139,700 USD",Mid-Senior level,"Software Engineer (New Grad), Search Feed"
+240,2025-04-06,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Content Ecology team aims to leverage AI and machine learning algorithms to build a suite of strategic models and platform solutions that enhance user experience across various sub-businesses under the short video business line.Our Focus Areas Include: TikTok Intelligent Customer Service: Utilizing large language models to address intelligent customer service and commercial customer service challenges. TikTok Local Services: Employing multimodal understanding technologies to solve content understanding and governance issues in local services. TikTok Search: Applying AI capabilities to provide hot event/topic discovery, event extraction, and summarization for the search business line.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to one of the following start dates below: January 13, 2025 February 3, 2025 March 3, 2025 May 19, 2025 June 9, 2025 July 14, 2025 August 11, 2025We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.Responsibilities: Develop and implement machine learning models to enhance user experience across various TikTok sub-businesses. Collaborate with cross-functional teams to integrate AI solutions into existing platforms. Conduct research and stay up-to-date with the latest advancements in AI and machine learning to continually improve our models and solutions.QualificationsMinimum Qualifications: BS/MS Degree in Computer Science or a related major Experienced in programming and algorithmic skills, proficient in languages such as Python, or C++. Deep understanding of one of the following areas: NLP (Natural Language Processing), CV (Computer Vision), LLM (Large Language Models)/MLLM (Multimodal Language Models), or Search. Experienced in one or more of the following topics: TensorFlow, PyTorch, or other machine learning frameworks. Good team communication and collaboration skills.Preferred Qualifications: Experience in building ML model development for large-scale consumer-facing applications. Experience or domain expertise in one or more of the following areas is preferred: NLP, CV, LLM/MLLM, Dialog System, Search, Recommendation Systems, etc. Published papers or hands-on project experience in the fields of NLP, CV, or multimodal technologies.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $119000 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Content Ecology) - 2025 Start (MS)
+241,2025-02-19,Munich,Bavaria,XPENG Deutschland,https://www.xpeng.com/de,"XPENG is a leading electric vehicle company headquartered in Guangzhou, China with offices in the US and Europe. The company is committed to driving the transformation of smart EVs through technology and shaping the mobility experience of the future. To optimize the mobility experience of its customers, XPENG develops in-house comprehensive technology for advanced driver assistance systems and in-vehicle intelligent operation system, as well as the core systems of the vehicle, including the powertrain and electric/electronic architecture.","XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.With this mission, we are looking for passionated machine learning engineers of all levels who will develop robotics technology together with us to shape the new future of humanoid robots. You will work on a lean team without boundaries. Your influence will be on every single product that is shipped, without boundaries as well.Job ResponsibilitiesDevelop and maintain machine learning models (e.g. VLM, VLA, RL, etc.) training and deployment pipelines that could scale to massive production.Work on efficient foundation models (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in humanoid robots.Work on efficient and effective ways to generate/leverage large scale dataset and computational resource.Explore novel ways to generate synthetic data to improve the data diversity & quality.Communicate and align with different teams on product needs across the company.Minimum QualificationStrong python programming skills & software development, and strong experience with any major deep learning framework.Solid background in machine learning, natural language processing, computer vision, speech or data science.Open-minded, collaborative & humble personality.Preferred QualificationDeep understanding of multimodal LLM modern architectures, ""under the hood"" LLM training knowledge, quantization techniques, etc.Record of publications, innovations or leadership.What Do We ProvideA fun, supportive and engaging environmentOpportunities to make a significant impact on the future of transportation and roboticsOpportunity to work on cutting edge technologies with the top talent in the fieldCompetitive compensation package & benefitsSnacks, lunches, and fun activitiesThe base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.",Entry level,"Machine Learning Engineer, Robotics"
+242,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+243,2025-04-03,New York,NY,Imprint,http://www.imprint.co,Come and build the easiest and most rewarding way to pay!,"Who We AreImprint is building a next-generation co-branded credit card company to serve America’s great brands. Some of our partners include H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer. Imprint is backed by Khosla Ventures, Kleiner Perkins, and Thrive Capital. We are focused on building a brilliant team who want to change payments and who embody our Operating Principles.The TeamThe Data Analytics team at Imprint builds the data foundation that powers smarter, faster decision-making. We develop infrastructure and analytics systems that support both daily operations and long-term strategy, enabling high-quality insights into customer behavior, product performance, and business growth. Our work helps teams across Imprint make informed, data-driven decisions at scale.You’ll be part of a high-trust, high-impact team where your work won’t just be seen—it’ll shape how we grow.What You’ll DoApply statistical inference, experimentation, and behavioral analytics to improve LTV/CAC and accelerate feedback loops. Be a champion of A/B testing. Partner with cross-functional teams to design, analyze, and interpret A/B tests correctly, rigorously measuring impact with scalable frameworks and data tooling. Build segmentation frameworks and predictive models to drive targeting and personalization. Translate data into clear narratives that influence product decisions, marketing campaigns, and executive strategy. Support Automation projects as needed—e.g. anomaly detection, partner data reporting, or internal self-serve tools/dashboards. What We Look For6+ years of experience in data science, analytics, or a related field—ideally at a high-growth startup or fintech company. Proven expertise in statistical inference, causal analysis, and experimentation design. Experience with marketing or product analytics (e.g., user segmentation, campaign attribution, experimentation). Strong SQL and Python skills. You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet. A highly analytical mindset with a bias toward action. Ability to clearly communicate complex findings to technical and non-technical audiences alike. Comfortable owning projects end-to-end and collaborating cross-functionally to drive impact. Bonus Points ForExperience building or scaling experimentation infrastructure. Familiarity with dashboarding tools (e.g., Sigma, Looker). Experience in credit, lending, or card products. Exposure to lifecycle marketing or prescreen modeling. Perks & BenefitsCompetitive compensation and equity packagesFlexible vacation policyFully covered, high-quality healthcare including fully covered dependent coverageAdditional health coverage includes access to One Medical and option to enroll in an FSA16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parentsAccess to industry-leading technology across all of our business units — stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivityAnnual salary range: $150k - $250k, and competitive equity packageImprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.Compensation Range: $150K - $250K",Mid-Senior level,Data Scientist
+244,2025-03-27,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The ML Platform team at Waymo provides a set of tools to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, optimization and monitoring to make our Perception, Planner, Research and Simulation teams better. We require your expertise to help us improve compute performance on both cloud and car. You'll work across the entire ML stack from the system perspective, from efficient deep learning models and model compression.You will report to the Senior ManagerYou WillCollaborate with the world-class Waymo ML practitioners in perception, planner, research and simulation to analyze ML workload performance and apply optimization techniques.Support the building of tools for benchmarking and optimizing deep learning modelsContribute to the analysis of ML software stack and model performance.Develop an efficient ML runtime system and optimized ML operator libraries for the diverse hardware options on Waymo's platforms.You HaveB.S. in CS, EE, Deep Learning or a related field2+ years of industry experienceSolid C++ programming skillsExperience developing/using deep learning frameworks (PyTorch, TensorFlow, JAX, etc.)Passion developing and optimizing ML software stacks for modern ML accelerator architectures (framework, runtime library, ML compiler, GPU performance/optimization etc)We PreferM.S. or PhD in CS, EE, Deep Learning or a related field.Experience on ML frameworks, ML compiler and IRs (MLIR, HLO, Triton) or modern ML system architectures and heterogeneous runtime systems/ML inference/serving engine.The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$170,000—$216,000 USD",Entry level,"Machine Learning Engineer, Runtime Optimization"
+245,2025-03-18,Manchester,England,Venturi,http://www.venturi-group.com/,"It’s everything we stand for. Our role is to assemble incredible tech talent.
+The visionaries, disruptors and leaders who make things happen. The
+ones who spark progress and innovation. Without them, ideas, projects
+and strategies never leave the table. We play a vital role. Identifying
+individuals we deem best-in-class and uniting them with progressive
+businesses. Similar to the Venturi effect, which gave us our name, we
+believe businesses are more able to move at speed when they’re under
+less pressure. Like, the pressure of being under-resourced. We alleviate
+that pressure by creating a seamless hiring experience, based on a deep
+understanding of the tech and recruitment landscape. It’s this expertise,
+combined with a people-first approach, that sets us apart from the pack.","Senior/Lead ML Engineer - OCR, PyTorchA Senior/Lead ML Engineer is required to join an industry-leading Series-A startup in New York who are at the cutting-edge of Computer Vision and OCR technology.The company have over 8+ years experience on the market, specializing in Image to Text conversions of everything from handwritten or printed text, PDF documents, and tables, into readable code via their accurate OCR platform. They're specialized in the STEM fields, and have already secured some huge tech clients such as Facebook Research, Chegg, and Anthropic.Tasks:Building, deploying, and fine-tuning end-to-end Computer Vision models with a focus on OCR.Understanding key business requirements to create product roadmaps and timelines.Collaborating with junior engineers to upskill and support their development.Benefits:On top of the competitive salary, you can also expect: Private Equity in the company, a structured 401k plan, and health insurance (health, life, dental, and vision).Lots of upward mobility, including the opportunity to mentor junior colleagues and progress into a leadership role.Constant training and development opportunities to develop your skills.Hybrid-working (2 days on-site, 3 days remote).The opportunity to work with a successful and profitable Series-A startup, where you can take ownership over core products and shape the future of the company.Your Profile:Strong experience with end-to-end Computer Vision / Seq2Seq models.Experience with PyTorch.Cloud experience in either AWS, GCP, or Azure - The company are cloud-agnostic, however primarily use AWS internally.Whilst this is a production-focused role, any research experience would also be beneficial.Any experience in the startup space would also be beneficial.*No sponsorship offered - US Citizens or Green Card holders only*If you're interested in learning more about this role, please apply via the link or reach out to me on LinkedIn.",Mid-Senior level,Senior/Lead Machine Learning Engineer
+246,2025-03-15,San Francisco,CA,Craft.co,https://craft.co,"Craft is the intelligent supply chain resilience platform that enables organizations to make smarter supplier decisions, protect against disruptions; and optimize supply chain strategies. We empower businesses to strengthen their supplier networks and supply chains with the industry's most trusted and comprehensive data fabric and advanced risk mitigation engine. Our easy-to-use platform provides 360-degree visibility to quickly explore and evaluate supplier networks, AI-driven insights to detect and mitigate disruptions, and collaborative tools to optimize supply chain strategies. With Craft, procurement and supply chain professionals can confidently navigate regulatory environments, uphold ethics, and drive business continuity.","About Craft:Craft is the leader in supplier risk intelligence, enabling enterprises to discover, evaluate, and continuously monitor their suppliers at scale. Our unique, proprietary data platform tracks real-time signals on millions of companies globally, delivering best-in-class monitoring and insight into global supply chains. Our customers include Fortune 500 companies, government agencies, SMEs, and global service platforms. Through our configurable Software-as-a-Service portal, our customers can monitor any company they work with and execute critical actions in real-time. We’ve developed distribution partnerships with some of the largest integrators and software platforms globally.We are a post-Series B high-growth technology company backed by top-tier investors in Silicon Valley and Europe, headquartered in San Francisco with hubs in Seattle and London. We support remote and hybrid work, with team members across North America, Canada, and Europe.We're looking for innovative and driven people passionate about building the future of Enterprise Intelligence to join our growing team!About the Role:Craft is looking for an experienced and motivated Machine Learning Engineer to join a team responsible for a key product within the organization. As a core member of this team you will have a great say in how solutions are engineered and delivered.Craft gives engineers a lot of responsibility, which is matched by our investment in their growth and development. We are growing quickly, and the only limits to your future growth with Craft are your dedication and abilities.The team has members in the US and Poland. This is a remote role, but we have a strong preference for candidates based in Eastern or Central time zones due to the current team members’ time zones.What You'll Do: Managing and developing end-to-end data science and machine learning projects, from research and data exploration to model development, validation, deployment, and optimization, such as entity resolution, anomaly detection, and agentic AI workflowsDetermining the right tool for a job - whether that’s utilizing a LLM, developing a new model, using a simple heuristic or a combination of the above. Integrating ML solutions with our data pipelines (Batch & Streaming)Helping to implement and champion an MLOps solution to be used within the company. Designing software that is easily testable and maintainable. Working with Full-Stack, Data, and DevOps Engineers to ensure smooth delivery of new features. Building strong partnerships with business stakeholders and product teams to understand key challenges, define objectives, and translate business needs into data science solutions that drive measurable impact and align with strategic goalsKeeping track of emerging technologies & trends in the Machine Learning world, incorporating latest research and tools at Craft. Who You Are:Production experience with creating and maintaining Machine Learning models. We expect you to be familiar with the entirety of ML Lifecycle and able to implement it by yourself. Experience in identifying anomalies across various data domains, including change point detection, time series anomaly analysis, and unsupervised outlier detection, to uncover irregular patterns, and enhance predictive monitoring. Robust experience using NLP solutions for unstructured data processing, along with a good sense of possibilities and limitations. 3+ years of experience in Python, including PyTorch or other major data science libraries. Experience with data science and software engineering - familiarity with clean code, unit testing and design patterns. Experience with cloud services - preferably AWS and Databricks. Self-starter who likes to take initiative. Experience with at least a part of our technology stack: Python, Polars, Pandas, Pytorch, Pandas, spaCy, transformers, AWS, Sagemaker, S3, Batch, Athena, Lambda, Kinesis, Kafka, RDS/Aurora Postgres, DynamoDB, Neptune, OpenSearch, Glue, Athena, Airflow, TerraformExperience with MLOps tools and best practicesWhat We Offer:Competitive salary starting at $160,000 USD/ year. This starting number can be increased based on levels of expertise, location, cost of living, taxes, market experience, etc. Equity at a well-funded, fast-growing startupUnlimited vacation time so you can take what you need, when you need it99% covered Health + Dental + Vision insurance for employees and dependents401K through Empower with options to invest how you want itA Note to Candidates:We are an equal opportunity employer who values and encourages diversity, equity and belonging at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, caste, or disability status.Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Craft, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!",Entry level,Machine Learning Engineer
+247,2024-12-22,Oakland,CA,Elicit,https://elicit.com/,"Elicit, the AI research assistant, helps you automate time-consuming research tasks like summarizing papers, extracting data, and synthesizing your findings.
+
+We're a public benefit company with a mission to scale up good reasoning. We want machine learning to help as much with thinking and reflection as it does with tasks that have clear short-term outcomes.","About ElicitElicit is the AI research assistant. We use language models to help researchers figure out what's true and make better decisions, starting with common research tasks like literature review.What We're Aiming ForElicit radically increases the amount of good reasoning in the world.For experts, Elicit pushes the frontier forward.For non-experts, Elicit makes good reasoning more affordable. People who don't have the tools, expertise, time, or mental energy to make well-reasoned decisions on their own can do so with Elicit.Elicit is a scalable ML system based on human-understandable task decompositions, with supervision of process, not outcomes. This expands our collective understanding of safe AGI architectures.Our Twitter page shows how Elicit helps researchers today. Our roadmap outlines our vision for how Elicit impacts more than research in the future.About The RoleAs an ML research engineer at Elicit, you will:Compose together tens to thousands of calls to language models to accomplish tasks that we can't accomplish with a single call.Curate datasets for finetuning models, e.g. for training models to extract policy conclusions from papersSet up evaluation metrics that tell us what changes to our models or training setup are improvementsScale up semantic search from a few thousand documents to 100k+ documentsAbout YouTo help us get there:You need to have a strong software engineering background. We want to apply your experience building systems, designing architecture, and thinking about good abstractions. Elicit will need you to do much more than write scripts.You must be familiar with language models (training, fine-tuning, evaluation), or have a comparable machine learning or natural language processing background (e.g. experience with information extraction, semantic search)You'll need a startup mindset. We expect to measure our impact in part by the people whose lives we improve through reasoning and models of the future. We know you care about that too. You’ll want to test lots of ideas, get feedback, and watch yourself learning and growing every day.To get a sense for how some of us look at applications, see this thread. (The short version: Wherever we can we prefer to directly evaluate work.)You can review a longer list of the kinds of ML-related projects you'd be working on here.Location and travelWe have a lovely office in Oakland, CA, but we don't all work from there all the time. It's important to us to spend time with our teammates, however, so we ask that all Elicians spend 1 week out of every 6 with teammates.We have a quarterly team retreat, normally in and around the SF bay area.We have quarterly co-working weeks (offset from the team retreats) in our Oakland office.If you come to the retreats and co-working weeks, you'll meet our expectations for in-person time!There is flexibility around the specifics here: if you're not sure you can make this work, get in touch.Am I a good fit?Consider These QuestionsHow does a transformer work?What is a tokenizer?What is a decorator in Python?What are generic types?Strong applicants will find it easy to answer these questions.BenefitsIn addition to working on important problems as part of a happy, productive, and positive team, we also offer great benefits (with some variation based on work location):Flexible work environment - work from our office in Oakland or remotely as long as you can travel to work in-person for retreats and coworking eventsFully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your familyFlexible vacation policy, with a minimum recommendation of 20 days/year + company holidays401K with a 6% employer match$2,000 device budget to start, with more accumulating for each month of work$500 / year personal development budgetA team administrative assistant that you can delegate personal and work tasks toCommuter benefits, a relocation bonus, and more!You can find more reasons to work with us in this thread.RoleFor all roles at Elicit, we use a data-backed compensation framework to make sure our salaries are market-competitive, equitable, and simple. For this role, we target starting ranges of:Career (L3): $195-235K + equitySenior (L4): $215-250K + equityStaff/Principal (L5): >$250K + significant equityWe're optimizing for a hire who can contribute at a L4/senior-level or above. We'd love to meet staff/principal level contributors as well.Join us!",Entry level,Machine Learning Engineer
+248,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $173,000-$259,000 annually.Zone B:The base salary range for this position is $164,000-$246,000 annually.Zone C:The base salary range for this position is $147,000-$220,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 4"
+249,2025-03-17,,,Hirechain,https://www.hirechain.io/,"Crypto's leading hiring & talent network
+
+Hirechain connects companies with talent they want to hire by curating candidates from referrers, recruiters and communities.","Hirechain are proud to be partnering with a high-growth tech startup that are a leader within the Memecoin space. They’re looking for a Machine Learning Engineer to take ownership of building and deploying data-driven models at scale.🔹 What they’re looking for:Proficiency in Python, SQL, and ML frameworks deployed on GCP or AWS.Strong understanding of machine learning, NLP, and data-driven model deployment.Experience leading projects end-to-end with strong communication skills.Background in a high-growth startup, scale-up, or FAANG-level company.Must be fully office-based in NYC.⭐ Preferred:Experience deploying real-time models at scale.Knowledge or experience in crypto is a plus.💰 Competitive Salary + Equity + Top-Tier Benefits",Mid-Senior level,Machine Learning Engineer
+250,2025-01-29,Santa Clara,CA,Tiger Analytics,http://www.tigeranalytics.com,"In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. 
+
+Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. 
+
+If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.","Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!What You'll Do:Collaborate with cross-functional teams to design and deploy ML models. Develop reusable, scalable code for AI/ML applications. Leverage GCP services to build end-to-end machine learning pipelines. Optimize models for performance and scalability using Vertex AIRequirementsKey Requirements: Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools.  Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI.  Model Development & Deployment: Proven ability to design, build, and productionize machine learning models.  API Development: Skilled in developing robust APIs for seamless integrations.  Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us?Work remotely while contributing to cutting-edge projects. Collaborate with a dynamic team passionate about AI/ML innovation. Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that's shaping the future of AI!BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.",Mid-Senior level,Machine Learning Engineer
+251,2025-04-04,Chandler,ARIZONA,Inherent Technologies,http://www.inherenttechnologies.com,"Inherent Technologies, LLC is an IT consulting and professional services firm located in Chandler, Arizona (USA). The firm endeavors to provide its clients with a wide breadth of services across the Information Technology spectrum. This includes software design, development and implementation; improving business through custom business solutions.
+
+
+Inherent Technologies, LLC. believes that teamwork is the key to success.Together Everyone Achieves More. We have a motivated and well qualified team with relevant experience to handle and provide solutions to a vast variety of applications. 
+
+The Premier Technology Execution Company As the premier technology execution company, we promise you the right expertise and an unrelenting commitment to service. 
+
+Our ability to deploy superior technology expertise is rivaled only by our deep commitment to service and reliability. This commitment isn't just something we talk about; it's part of who we are, and it shows in everything we do. 
+
+At Inherent Technologies®, we seek individuals who are not only technologically proficient, but who also care about teaming with other colleagues and clients. We recruit people with true strength of character and integrity, who genuinely share our values, and we treat every assignment as another step toward building long-term relationships. 
+","Primary ResponsibilitiesDesign machine learning systems to automate predictive models.Develop ML algorithms to analyze historical data to make predictions.Run tests, performing statistical analysis, and interpreting test results.Develop and support data pipelines to extract, transform and load data into Google Data Center data warehouse. Demonstrate ability and willingness to learn quickly and complete large volumes of work with high quality.Demonstrate outstanding collaboration, interpersonal communication and written skills with the ability to work in a team environment.Minimum QualificationsBachelor's degree in a quantitative discipline (e.g., Statistics, Computer Science, Math, Physics, Engineering), or equivalent practical experience.3+ years of experience in analytics or similar fields.Experience with scripting languages (e.g. Python, Perl, etc.).Experience manipulating data sets in SQL and using statistical software (e.g., R, SAS, MATLAB, Numpy/Pandas). Experience in software engineering, including gathering data for analysis, performing data filtering and preparation, and running tests at scale.Preferred QualificationsMasters degree in a quantitative discipline.Experience in machine learning (e.g., supervised learning, clustering).Experience designing data models or table schema.Experience writing and maintaining extract, transform, and load scripts which operate on a variety of structured and unstructured sources.Knowledge of statistics (e.g., probability theory, hypothesis testing, regressions), and experimentation theory",Mid-Senior level,ML & Data Science Engineer
+252,2025-03-27,New York,NY,DBI Staffing,http://www.dbistaffing.com,"Founded in 1999, DBI Staffing is a premier staffing organization dedicated to providing unparalleled service to both our clients and candidates.
+
+At DBI, we have revolutionized the traditional informal ""job search""​ transforming it into a positive and personal career path experience. We understand the emotions involved in hiring a new employee or making the decision to leave your current employer to seek new job opportunities. With that in mind, we take the time to really understand our clients'​ organization, culture and specific hiring needs. Taking the time to meet with each and every one of our applicants, our recruiters discuss previous experiences and background and learn what your desired ""next step""​ may be.
+
+We believe that success is achieved by affecting individuals and organizations through optimal customer service, unmatched industry knowledge and a tireless commitment to our people.
+
+Working with DBI, you will experience the benefits of consulting with our team of recruitment professionals and leverage our intimate knowledge of clients for ideal interview preparation.
+Our clientele ranges from smaller-mid to AMLaw 100 law firms, hospitals to health care organizations, hedge funds to Wall Street Banks and Brokerage firms, retail to insurance companies and is derived from over 20 years of management experience delivering the highest level of candidates and customer service.
+
+We invite you to experience the DBI Difference and look forward to working with you on your next career opportunity!","***US CITIZEN OR GC HOLDERS ONLY. NO THIRD PARTIES PLEASE***THIS POSITION IS HYBRID WITH 2-3 DAYS ONSITE IN MIDTOWN NYCWorking with cross-departmental teams, the Data Engineer will work as a member of the Information Technology team, contributing to the development and support of the data assets. This role is responsible for guiding the Data Science practice to allow for faster, cheaper, consistent, and reliable deployments while enabling transparency and reproducibility of modeling assets.ResponsibilitiesDevelop and deploy new Data/ML Ops/LLM Ops Pipelines to productionPerform Data analysis to generate business insights and convert to compelling visualizations using Power BI.Build data expertise and own data quality for allocated areas of ownershipManage data warehouse models for various pillars and perform data quality checks to ensure compliance.Assist in resolving user queries and issues.Support critical data processes running in productionQualificationsBachelor’s degree in Computer Science/Data Science.2 years of experience in Data / ML Engineering or a related role.Programming knowledge in Python And SQLExperience with data engineering and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, Apache Spark).Knowledge of database systemsCurious, self-driven, analytical, and excited to play with data.Experience in collaborating with individuals and organizations.Compensation varies based on skills, knowledge, and education. We consider factors such as specialized skills, depth of knowledge in the field, and educational background to ensure fair and competitive pay.",Mid-Senior level,Machine Learning Engineer
+253,2025-03-05,Washington,District of Columbia,Oddball,https://www.oddball.io,"Oddball is dedicated to digital modernization of federal citizen-centric services. As a unique digital agency, Oddball supports federal clients from design to deployment of scalable software solutions that are purpose-built for the citizens they serve and the workforces they enable. Experienced teams of full-stack developers, human-centered designers, product managers and project managers offer a proven record of delivery excellence in enterprise devops, cloud migration, user experience, continuous integration, continuous delivery and continuous deployment. ","Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.We are hiring an AI/Machine Learning Engineer  to work on a pivotal Federal program that is making a positive impact on millions of Americans' daily lives.What You'll Be DoingAs an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions. You will collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products. You’ll apply AI/ML expertise to solve meaningful challenges in federal programs, driving innovation in healthcare, veterans’ services, and more.What You’ll Bring7+ years of experience in software and machine learning engineering.3+ years of experience leading cross-functional AI/ML teams.Strong knowledge of natural language processing (NLP) and transformer models.Proficiency in Python and hands-on experience with ML libraries like TensorFlow, PyTorch, or Hugging Face Transformers.Expertise in the full ML pipeline, including data processing, model training, serving, and monitoring.Knowledge of NLP architectural strategies such as Retrieval-Augmented Generation, Knowledge Graphs, and Agentic Graphs.Proven experience building scalable, cloud-based AI/ML solutions on AWS, GCP, or Azure.Familiarity with Agile and DevSecOps methodologies for AI/ML development; AI/ML cybersecurity experience is a bonus.Understanding of ethics in AI, including bias mitigation, fairness, privacy (PII/PHI), and the ability to implement explainable AI techniques to ensure transparency and trust in AI-driven decisions.Experience fine-tuning pre-trained models for specific business use cases.Expertise in MLOps best practices, including Infrastructure as Code (IaC), CI/CD pipelines tailored for ML workflows, model version control, and real-time performance monitoring to ensure scalable and reliable AI/ML systems.Familiarity with NLP metrics and benchmarking utilities such as BERTScore, ROUGE, or METEOR.Familiarity with federal AI governance frameworks and compliance standards (e.g., NIST AI RMF, FedRAMP) is a plus.Strong communication skills for effectively engaging both technical and non-technical stakeholders.Passion for staying up-to-date with industry trends, emerging technologies, and evolving federal government standards.Experience engineering products in federal environments or on government contracts; experience with the Centers for Medicare & Medicaid Services (CMS) is a significant advantage.RequirementsMust be a US Citizen and able to work domestically Must be able to attain low-level security clearance EducationBachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. in a relevant field or equivalent experience is a plus. Preferred certifications: AWS Certified Machine Learning Specialty, TensorFlow Developer Certificate, or similar.BenefitsFully remoteAnnual stipendComprehensive Benefits PackageCompany Match 401(k) planFlexible PTO, Paid HolidaysEqual Opportunity Employer/Protected Veterans/Individuals With DisabilitiesOddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hr@oddball.ioThe contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)CompensationAt Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.United States Wage Range: $140,000 – $170,000",Entry level,AI/Machine Learning Engineer
+254,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users. We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTokInternships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 or August/September 2025 (Select May if Summer or August if FallPlease state your availability clearly in your resume (Start date, End date).Summer Start Dates:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23Fall Start Dates:Monday, August 11Monday, August 25Monday, September 8Monday, September 22Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms; Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok; Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently; Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety.QualificationsMinimum Qualifications: Currently pursuing a BS/MS degree in Computer Science, related technical field or equivalent industrial research experience; Experience in one of the following fields: recommendation systems, online advertising, information retrieval, natural language processing, computer vision, machine learning, large-scale data mining, or related fields preferred; Familiar with at least one of the mainstream deep learning frameworks, such as TensorFlow or PyTorch; Passionate about solving complex and challenging problems; Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $57.75- $57.75.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (E-commerce-Recommendation) - 2025 Summer/Fall (BS/MS)
+255,2025-02-21,New York,NY,North.Cloud,https://www.north.cloud,"North is a financial automation platform that helps companies reduce Cloud spend. 
+
+Leverage automation to create healthy cloud financial operations such as cost allocation, alerting, budgeting & cost governance, with no manual work. 
+
+Discover how North can streamline your Cloud finance at north.cloud.","About North (www.north.cloud)The public cloud is home to $200B+ in annual technology spend, yet 95% of it is still managed with credit cards and spreadsheets. With AI accelerating cloud growth towards $1T by 2030, businesses need better tools to manage, optimize, and scale their cloud investments.At North, we’re building the next-generation cloud spend management platform, giving companies clarity, control, and automation over their cloud finances. Our mission is to help organizations take charge of their cloud costs and maximize efficiency in the AI-driven era.Backed by top-tier investors and trusted by leading customers like Brave, StayNTouch, and DataBiologics, we’re assembling a world-class team to redefine how businesses manage cloud spend. If you’re looking for impact, growth, and the opportunity to shape the future of cloud finance, North is the place to be.About the roleWe’re looking for a Machine Learning Engineer to join our team and play a key role in developing, deploying, and optimizing our AI capabilities. You’ll work directly with our CTO to define and build AI-powered features that will shape Agent North, our customer-facing AI assistant, as well as drive advancements in cost and usage forecasting, financial modeling, and multi-service provider rightsizing.This is a hands-on, senior-level role—perfect for someone who thrives in a fast-moving startup environment, has built ML-powered products before, and is comfortable taking a project from 0 to 1. If you’re a high-energy, motivated engineer passionate about LLMs, cloud infrastructure, and deploying AI systems at scale, we want to hear from you.What you’ll doDesign, build, and deploy ML models for cloud automation and optimizationWork with LLMs, fine-tuning, optimizing, and integrating them into our platformDevelop AI chatbots and customer-facing AI solutions to automate and enhance cloud finance management.Ensure security and compliance in AI model deployment, implementing best practices for secure AI infrastructure.Set up and maintain ML infrastructure across GCP, AWS, and Azure, optimizing for scale and efficiency.Drive ML project development from 0 to 1, making key decisions on architecture, tooling, and implementation.Collaborate with engineering, product, and leadership teams to align AI development with business goals.Experiment with and implement cutting-edge ML techniques, including prompt engineering, model security, continuous evaluation, and monitoring frameworks.Provide thought leadership, driving AI strategy and identifying opportunities to improve and expand North’s AI capabilities.What you’ll need5+ years of hands-on experience in ML, AI model development, and infrastructure deployment.Experience with Terraform and Git for infrastructure management and version control.Strong Python skills (bonus if you’re comfortable with Go, SQL).Proficiency with ML frameworks like PyTorch, Hugging Face, LangChain, vertex databases, and open source models like Llama.Experience deploying ML models at scale (cloud-based, distributed systems, or edge deployments).Security-first mindset—deep understanding of AI security risks and best practices.Ability to move fast and iterate, taking ideas from concept to production.Excellent communication skills, with the ability to clearly convey progress, methodology, solution approach, and results.Strong analytical background, capable of sifting through complex cost patterns and making sense of intricate financial cloud modeling.A proactive, solution-oriented mindset—you’re not just an executor, but a thought leader who can challenge assumptions and improve the product.Nice to havesExperience working in a startupBuilt and deployed ML products or features in a production environmentHands-on implementation experience—we need builders, not just strategistsExperience working with financial cloud data across GCP, AWS, and AzurePast experience in a cloud financial project or roleAWS technical certification (or equivalent cloud certification)Experience deploying models in Amazon Bedrock or on AWSWork locationThis is a hybrid role in our New York office (in West Village). You will work part of the time in the office and part of the time remote / work-from-home. Benefits (for U.S.-based full-time employees)Unlimited PTO.NYC office access—work in West Village as desired.16-week fully paid parental leave (mothers can extend to 20 weeks at 50% pay).Mandatory company-wide breaks: last week of August & Dec 23–Jan 3.Healthcare: Anthem BlueCross Gold PPO, 75% employer-covered. 30-day sabbatical every 4 years.Ramp credit card for approved expenses.CompensationThe base pay for this role is: $160k-$220k per year. Actual compensation may vary and will be based on a candidate's qualifications, skills, experience, and location.Join us!If you’re a ML engineer who loves building AI-powered products, deploying at scale, and shaping the future of cloud financial automation, we’d love to hear from you. Apply today.",,Machine Learning Engineer
+256,2025-04-01,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We're looking for an experienced ML Engineer to help us develop and improve the models that power DoorDash's three- sided marketplace of consumers, merchants, and dashers. Team is responsible for building a leading industry level NLP/LLM system to empower all communication for Doordash Journey, also building recommendation/personalization to provide best experience.About The RoleAs a Machine Learning Engineer you will have the opportunity to identify and prioritize machine learning investments across our conversation AI & personalization ecosystem. You will leverage our robust data and infrastructure to develop natural language processing and personalization models that impact millions of users across our three audiences. You will partner with an engineering lead and product manager to set the strategy that moves the business metrics which help us grow our business.You’re Excited About This Opportunity Because You Will…Lead the development of DoorDash's support chatbot & LLM system: Applying LLM, active learning, semi- supervised learning, weak label generation, documentation embedding/retrieval and data augmentation strategies to improve the consumer, dasher, and merchant support experienceDrive the personalization of DoorDash's issue prediction & resolution policies: Using both personalization, recommendation and dynamic pricing modeling technologies to serve millions of customers on personalized prediction resolution for any issues they might encounter during their journeySpearhead the creation of next-generation LLM AI Agent tools: Building Co-pilot system to evolve how millions of users interact with our support systemApply stratification, variance reduction, and other advanced experiment design techniques to create A/B tests to efficiently measure the impact of your innovations while minimizing risk to the broader systemYou can find out more on our ML blog hereWe’re Excited About You Because You Have…3+ years of industry experience developing optimization models with business impact, including 1+ year(s) of industry experience serving in a tech lead role M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldYou must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New YorkDeep understanding of natural language processing techniques and procedures for efficiently acquiring and validating human-labeled dataGood experience in overall big data analysis, system, backed integration with new ML system/solution. Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inferenceFamiliarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLibExperience productionizing and A/B testing different machine learning modelsFamiliarity with advanced causal inferences techniques and contextual bandit algorithms preferredNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Mid-Senior level,Machine Learning Engineer - Conversation AI
+257,2025-04-03,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.Responsibilities: Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok. Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently. Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. Design and build supporting/debugging tools as needed.QualificationsMinimum Qualifications: Bachelor's degree or higher in Computer Science or related fields. Strong programming and problem-solving ability. Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Experience in Deep Learning Tools such as tensorflow/pytorch. Experience with at least one programming language like C++/Python or equivalent.Preferred Qualifications: Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $184300 - $337250 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - E-commerce Recommendation
+258,2024-12-19,New York,,QuadSci.ai,https://www.quadsci.ai/,"QuadSci.ai is a leading analytics services partner for B2B product and service companies balancing profitable growth & customer experience that today’s market demands. You have great intelligence in your data - QuadSci delivers on its potential.
+
+We started QuadSci to answer 2 fundamental questions:
+1) Customers demand great experiences and require you to lead them in their journey…Why isn’t this easy in the age of AI?  
+2) The Field wants to deliver great experiences but internal processes distract from customers…How can AI & Automation create a performance flywheel for the top & bottom line?   
+
+QuadSci combines telemetry & B2B application data from product analytics, CRMs, support systems, webpages, knowledge bases, and more to fuel our AI products.  Our prescriptive AI insights are deployed via our Intelligent Automation (IA) Libraries which deliver contextualized product experiences, lead your customers in their product adoption journey, automate repetitive processes for your field and provide recommended actions to maximize the financial performance across the top and bottom line for our customers. QuadSci is partnering with Go-To-Market leaders with a remit to deliver profitable growth via higher resource productivity, improved unit economics, and tech-powered automation to add points to the ""Rule of 40"" only orchestrating intelligence can provide.","About QuadSci.ai:QuadSci is an AI product company for software companies. QuadSci AIs are fine-tuned locally across telemetry and customer data to determine churn, contraction, and growth signals as far as 12 months in advance. We started QuadSci to answer 2 fundamental questions:Customers demand great experiences from software vendors and require you to lead them in their journey…Why isn’t this easy in the age of AI?  Software companies want to deliver great customer experiences but internal processes distract from Customers…How can AI & Orchestrated Action create a performance flywheel for the top & bottom line?   QuadSci is empowering Go-To-Market (GTM, Sales, Customer Success, Services, etc.) leaders to scientifically manage customer lifecycle, GTM performance and ARR predictability to add points to the ""Rule of 40"" only QuadSci can provide.About the DataML Engineer role:You are an expert at finding patterns and explaining insights from application & event data using supervised and unsupervised ML approaches to customers. Our AI insights & signals are the source of powering orchestrated actions (next-best action) that improves GTM performance of customer-centric organizations. You will be accountable for the development & packaging, fine-tuning and performance monitoring of QuadSci's AI products (Cohorts AI & Growth AI). A summary of your responsibilities is below: Field deployed AI/ML Engineer working across 1 - 5 customersAnalyzing diverse and dynamic data sets across application telemetry, CRM, Support, Accounting / Billing, Website Analytics and other common enterprise data sources.Utilize our auto and sem-auto feature engineering assets focused on large telemetry data sets (TBs to PBs)Deploy, train, test and monitor AI products at scale within a Customers’ operating architecture in platforms such as Vertex AIEngage with other QuadSci deployed colleagues on the explanation of data insights, confirmation of design requirements, root cause analysis, etc. Work with Customers on AI feature roadmaps (incl. GenAI applications) for their models and ongoing performance management of deployed AI models Collaborate with QuadSci colleagues, Customer Cloud Ops and Partners on ML ops, integrations and performance management Contribute to QuadSci codebase for auto-feature engineering, AI product packaging, next best action logic and moreBasic Qualifications - Must have:Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or other related field 3+ years of relevant experience in data science or product development Experience with data science and cloud computing environments like VertexAI, Sagemaker or similar toolDemonstrated success in the use of clustering, classification, regression, decision trees etc to deliver transformative insightsStrong experience in building, training, and tuning predictive machine learning, especially in the domains of next best offer or recommended action based on time-series type data sets Experience in Natural Language Processing (NLP) for sentiment analysis and behavioral modeling Hands on experience with Pandas, Polars and / or Dask for data transformation & feature engineeringAdvanced Qualifications - Nice to have:Masters degree in Computer Science, Data Science, Applied Statistics or a related fieldDeployment architecture experience for MLOps optimization using technologies like Dagster or similar toolExperience in the use of Large Language Models (LLMs, both Open Source & Proprietary), Embeddings algorithms,Vector DBs and APIs to create GenAI applicationsFamiliarity with technologies and/or data architectures such as: Pendo, Salesforce and Open Telemetry Direct experience in the use of AI/ML to automate essential business processes that have an impact to Field teams or Customers ",,Machine Learning Engineer
+259,2025-03-27,London,,techire ai,http://www.techire.ai,"Techire AI - Your Gen AI Hiring Partner.
+ 
+We provide staffing & hiring solutions for companies building R&D / Research and Applied AI teams in Generative AI (Speech/Audio, Language/LLM, Vision), Agentic AI, Conversational AI / Language & Dialog Systems.
+ 
+Our niche focus allows us to identify, attract, and recruit the best people who build this tech. From Deep Learning Scientists, Machine Learning Engineers, VP AI’s, CTO’s and more. 
+
+Specifically in the areas of:
+
+Generative Speech / Audio - Text-to-speech (TTS) / Speech Synthesis / Speech Generation, Audio Synthesis / Audio Generation, Music Synthesis / Music Generation, Voice Cloning, Voice Conversion, Singing Synthesis
+
+Generative Vision - Lipsync, Faceswap, Video Generation / Video Synthesis, Image Generation / Image Synthesis, Neural Rendering (NeRF, Gaussian splatting), Talking heads, Digital twins/ AI Avatars, Text to Video (txt2vid), Video to Video (vid2vid), Text to image (txt2img)
+
+LLMs - LLMs, Multimodal LLM (text & image), LVMs
+
+Speech & Audio - ASR, Speech recognition, Speech-language processing, Speech/Audio processing, Speech to text
+
+Natural language - NLP, NLU, NLG 
+
+AI Agents - LLM Agents, Multi-agent Reinforcement Learning
+
+Deep Learning, Machine Learning, Diffusion, GANs, VAE (Encoders, Vocoders), Transformers
+
+Whether you are an emerging start-up building the next generation of AI or an established player looking to reinforce your team with leading Generative AI talent. Techire AI helps assemble high-performing technical teams poised to lead the industry forward. 
+ 
+We take pride in our work - because for us, this is far more than just recruiting. We focus on building quality partnerships to connect the right talent with the right teams.
+
+Want to find out more? Get in touch!
+","Build secure, deployable AI systems for industries where precision mattersWant to implement cutting-edge AI solutions for high-stakes industries? This role combines ML engineering expertise with real-world impact in aerospace, healthcare, manufacturing and defence.You'll join a small but fast-growing engineering team at a well-funded startup transforming how regulated industries leverage AI. Founded by successful entrepreneurs with billion-dollar exits, they've secured $20M and are already working with Fortune 500 clients where standard AI approaches fall short.This role offers a unique chance to work on AI challenges with meaningful real-world impact, with access to abundant compute resources for complex development. You'll help shape technical direction as an early team member, balancing practical implementation with cutting-edge ML research across multiple high-value industries in a no-ego culture focused on building working solutions.As an ML Engineer, you'll bridge the gap between research and practical implementation, ensuring sophisticated AI models work reliably in mission-critical environments.Your focus:Implementing and optimizing models for specific client needs across regulated industriesBuilding models (NLP or Computer Vision - depending on your background)Working with LLMs, such as API integrations, fine-tuning and promptingDeveloping client-specific models and adapting solutions using transfer learningConducting evaluations and handling customer data onboardingCollaborating with the Applied AI team to operationalize research breakthroughsYou should have:5+ years of experience in ML or software engineering with ML focusGood practical experience in PyTorch or TensorFlowExperience deploying ML models in production environmentsSolid AWS knowledge (or comparable cloud platform expertise)Python proficiency and familiarity with ML deployment challengesNice to have:Computer vision or NLP expertiseExperience in regulated industries (healthcare, aerospace, defence)Experience with KubernetesPrior work with MLOps tooling and practicesScience/engineering degree (Masters preferred)They offer:Competitive salary ($180k-$225k depending on experience) plus bonus potentialSignificant equity packageComprehensive healthcare (medical, dental, vision)401k contributions20 days vacation and flexible working arrangementsYou'll need to be based in the US – Seattle or Miami (attractive relocation package provided for Florida).If building secure, practical AI systems for industries where decisions truly matter appeals to you, reach out for a confidential conversation. All applicants will receive a response.",Mid-Senior level,Machine Learning Engineer
+260,2024-11-08,San Francisco,,Magic,https://magic.dev/,"Magic is working on frontier-scale code models to build a coworker, not just a copilot. Come join us: http://magic.dev","Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.About the role:As a Software Engineer working on our post-training data infrastructure, you write efficient and robust data pipelines and work with the research and Applied teams to devise strategies for gathering and maintaining specific, diverse datasets at scale.What you might work on:Develop creative ways to obtain post-training datasets teaching the model targeted capabilities. Develop creative ways to reliably generate synthetic datasetsIterate on filtering and scoring heuristics for a post-training datasetContribute to our data infrastructure by implementing, maintaining and testing data pipelines serving workloads across scales from gigabytes to 100s of petabytesWhat we’re looking for:Extreme attention to detail and commitment to data quality. Ability to write reliable, well-tested code and quickly learn new tools, programming languages or frameworks needed for a given job. Versatility in end-to-end data pipelines, from scraping to processing. High intellectual agility and grit to tackle tough challenges. Magic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience.Our culture:Integrity. Words and actions should be alignedHands-on. At Magic, everyone is building Teamwork. We move as one team, not N individualsFocus. Safely deploy AGI. Everything else is noiseQuality. Magic should feel like magicCompensation, benefits and perks (US):Annual salary range: $100K - $550KEquity is a significant part of total compensation, in addition to salary401(k) plan with 6% salary matchingGenerous health, dental and vision insurance for you and your dependentsUnlimited paid time offVisa sponsorship and relocation stipend to bring you to SF, if possibleA small, fast-paced, highly focused team",Entry level,Software Engineer - Post-training Data
+261,2025-04-07,San Jose,CA,PayPal,https://www.paypal.com/us/home,"We're championing possibilities for all by making money fast, easy, and more enjoyable. Our hope is unlock opportunities for people in their everyday lives and empower the millions of people and businesses around the world who trust, rely, and use PayPal every day. 
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+For support, visit the PayPal Help Center. https://payp.al/help
+
+For employment opportunities, check out our job openings in the 'Jobs' tab. We're an equal opportunity employer that welcomes diversity, and offer generous benefits to help you thrive at work and in your free time.
+","The CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Description Summary:PayPal is seeking a talented Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces including Venmo and PayPal. Your goal will be to optimize the customer journey through personalized, thrilling experiences. With a strong background in Machine Learning and practical experience in building and implementing large scale predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.Job Description:Your day to day Develop and implement advanced ML models, such as graph neural networks and deep learning models, to solve critical business problems related to recommendation of PayPal products, personalizing product experiences including UI flows, and optimizing the lifecycle of the customers on the platform.Design and deploy scalable generative AI solutions as part of the ecosystem.Design and deploy scalable ML/AI solutions that enhance PayPal's ability to provide a seamless customer experience, by working closely with our engineering group and PayPal's Platforms organization.Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise.What do you need to bring:Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 3+ yrs. of relevant industry experience or PhD with 2+ yrs. of relevant industry experienceExperience in any one of Recommendation, Ranking, Product and Marketing domains a big plusProficient in Programming languages such as Python, SQL. Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch. GCP/Hadoop and big data experience – an advantageExperience leading ML projects and great track record delivering solutions with attention to detail and efficiencyExperience shipping Realtime models a big plusFluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insightsPayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is PayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is $84500 to $204600For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspxCommitment to Diversity and InclusionPayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.Belonging at PayPal:Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please Join our Talent Community.We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.Notice to Applicants and Employees who reside within New York city. Click https://careers.pypl.com/Contact-Us/default.aspxto view the notice.REQ ID R0118714",Not Applicable,Machine Learning Engineer
+262,2025-02-24,New York,New York,TVADS.ai,https://tvads.ai,"At TVADS.ai, we are building the industry’s first holistic marketing solution that makes it easy for DTC and e-commerce brands to run performance ad campaigns on Streaming TV - leveraging their best brand, product & social content.
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+Our AI-driven platform connects the dots between performance TV creative, advanced targeting, and digital measurement to drive real performance for KPIs like website visits and purchases (CPA), as well as lift across existing search, social & other digital marketing channels.","About UsAt TVAds.ai, we are building the industry’s first holistic marketing solution that makes it easy for DTC and e-commerce brands to run performance campaigns on Streaming TV - in a way that leverages their best brand, product & social content.Our AI-driven platform connects the dots between performance TV creative, advanced targeting, and digital measurement to drive real performance for KPIs like website visits and purchases (CPA), as well as lift across existing search, social & digital marketing channels.Job DescriptionWe are seeking a highly skilled Machine Learning Engineer with extensive experience in TensorFlow, PyTorch, Google Colab, reinforcement learning, generative AI, and image and video processing to join our dynamic team. The ideal candidate will have a strong background in machine learning and deep learning, with a passion for developing and deploying state-of-the-art models. You will be working on a greenfield project leveraging cutting-edge Generative AI for streaming video advertising.Key ResponsibilitiesDesign, develop, and implement machine learning models using TensorFlow and PyTorch.Conduct research and experiments to advance the state-of-the-art in reinforcement learning and generative AI.Develop and optimize algorithms for image and video processing tasks.Collaborate with cross-functional teams to integrate machine learning solutions into production systems.Utilize Google Colab for prototyping and rapid development.Perform data preprocessing, augmentation, and analysis to improve model performance.Stay current with the latest research and advancements in machine learning and AI.Write clean, maintainable, and efficient code.Participate in code reviews and knowledge sharing with the team.Document methodologies, experiments, and results.QualificationsProven experience as a Machine Learning Engineer or similar role.Strong proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.Experience with reinforcement learning and generative AI techniques.Expertise in image and video processing algorithms and techniques.Proficiency in using Google Colab for developing and testing models.Familiarity with Google Cloud Platforms for deploying machine learning models.Strong understanding of data structures, algorithms, and software design principles.Excellent problem-solving skills and attention to detail.Strong communication and teamwork skills.Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.Preferred QualificationsExperience with other machine learning frameworks and libraries (e.g., Keras, Scikit-learn).Knowledge of advanced statistical methods and data visualization tools.Experience with natural language processing (NLP).Familiarity with containerization and orchestration tools like Docker and Kubernetes.Experience in deploying machine learning models in production environments.Experience with video, streaming, advertising, demand side platforms, and real-time advertising exchangesWhat We OfferCompetitive salary and benefits package.Flexible work hours and remote work options (2 days per week in office).Opportunities for professional growth and development.A collaborative and inclusive work environment.The chance to work on an exciting and innovative startup.Work with a very seasoned team of experienced, serial entrepreneurs.How To ApplyIf you are passionate about machine learning and want to be part of a dynamic team, we would love to hear from you. Please send your resume and a cover letter detailing your experience and why you are a good fit for this role to hiring@tvads.ai.TVAds.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.",Entry level,Machine Learning Engineer
+263,2025-04-09,Sunnyvale,CA,Juniper Networks,http://www.juniper.net,"Juniper Networks is leading the revolution in networking, making it one of the most exciting technology companies in Silicon Valley today. Since being founded by Pradeep Sindhu, Dennis Ferguson, and Bjorn Liencres nearly 20 years ago, Juniper’s sole mission has been to create innovative products and solutions that meet the growing demands of the connected world.
+ 
+Juniper Networks [NYSE: JNPR] is headquartered in Sunnyvale, California, with over 9,000 employees in 50 countries and nearly $5 billion in revenue. Our customers include the top 100 global service providers and 30,000 enterprises, including the Global Fortune 100 as well as hundreds of federal, state and local government agencies and higher educational organizations.
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+At Juniper Networks, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement that the world has ever known. Now more than ever, the world needs network innovation to connect ideas and unleash our full potential. Juniper is taking a new approach to the network — one that is intelligent, agile, secure and open to any vendor and any network environment. 
+ 
+To learn more about Juniper, our products, and our vision for the decade ahead, visit our site at https://www.juniper.net.
+","At Juniper, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement the world has ever known.To achieve real outcomes, we know that experience is the most important requirement for networking teams and the people they serve. Delivering an experience-first, AI-Native Network pivots on the creativity and commitment of our people. It requires a consistent and committed practice, something we call the Juniper Way.Data Science Intern/ AI/ML EngineerAre you interested in applying your data science and machine learning knowledge to real world applications? This provides opportunity for building end-to-end solution using AI/ML – data explorations, identify key data correlations, feature engineering & encoding, building model, assess model and deploy the model.We at Juniper Networks are seeking continuing students who are interested in applying their Data Science & AI/ML skills during Summer 2025 Internships.We’re looking for people who are excited about:Solve real-world problems using data science AI/ML.Learn Service Demand Planning processExplore data to gain insightsModels the data, assesses and rebuildArt of possibilitiesResponsibilities include:Reviewing existing data for feature engineering of various demand and supply attributesDeveloping AI/ML model for forecasting service inventory across global service locations based on features selectedValidating the model, assess model for accuracy and confidenceIntegrating defined model with service logistics process to fulfil customer demandSetting up regular intervals to model learning with new increment dataReleasing the solution to pre-production for further quality assuranceEstablishing a near-real time prediction processThe Successful candidate must:Have either a bachelor’s or master’s degree with a major in data science and/or AI/ML. We will also accept candidates who are pursuing a Master’s degree program in data science and/or AI/ML. All candidates must have an anticipated graduation date from their degree program of December 2025 or laterHave college projects supporting developing AI/ML modelsTechnical Skills: Python, SQL, Data Science AI/ML related librariesPreferred qualifications for this role include:Candidates in Master's degree programs for Data Science and/or AI/MLWorking knowledge of data pipeline for continuous model learning and deploymentAdditional qualities of a successful candidate include (feel free to select from these or add your own):Analytical and problem-solving skills Demonstrated track record of taking initiative and being resourceful Ability to work collaboratively and solve problems Strong communication skills, especially written Leadership experience, whether formal or informal Enthusiasm! Please note the following restrictions for this position:Relocation assistance is not offeredCandidates for this role must possess authorization to work in the United States without need for current or future sponsorship.In addition, you will join our comprehensive University Talent Program that fosters personal as well as professional growth, thoroughly preparing interns for the next step in their careers. Juniper internships are project-based, allowing interns to solve important problems, make lasting impacts on their teams, and contribute to the company’s overall objectives. Interns are mentored by some of the most talented and skillful innovators in the industry; you will connect with transformative thought leaders who promote disruptive ideas in their field. You will also participate in constructive professional workshops, company-wide community service initiatives, and an executive speaker series. You’ll build lasting friendships, expand your network, and connect with colleagues from around the world.At Juniper Networks, you will not only have opportunities to build real-life, hands-on work experience – you’ll also have the chance to learn from the best and lay the groundwork for a successful career.Minimum Salary: $66,560.00Maximum Salary:$120,750.55The pay range for this position is expected to be between $66,560.00 and $120,750.55/year; however, the base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes medical benefits, 401(k) eligibility, vacation, sick time, and parental leave. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.Juniper’s pay range data is provided in accordance with local state pay transparency regulations. Juniper may post different minimum wage ranges for permanent residency petitions pursuant to US Department of Labor requirements.About Juniper NetworksJuniper Networks challenges the inherent complexity that comes with networking and security in the multicloud era. We do this with products, solutions and services that transform the way people connect, work and live. We simplify the process of transitioning to a secure and automated multicloud environment to enable secure, AI-driven networks that connect the world. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on Twitter, LinkedIn and Facebook.WHERE WILL YOU DO YOUR BEST WORK?Wherever you are in the world, whether it's downtown Sunnyvale or London, Westford or Bangalore, Juniper is a place that was founded on disruptive thinking - where colleague innovation is not only valued, but expected. We believe that the great task of delivering a new network for the next decade is delivered through the creativity and commitment of our people. The Juniper Way is the commitment to all our colleagues that the culture and company inspire their best work-their life's work. At Juniper we believe this is more than a job - it's an opportunity to help change the world...INCLUSION AND DIVERSITY AT JUNIPERAt Juniper Networks, we are committed to elevating talent by creating a trust-based environment where we can all thrive together. We know from experience that people from underrepresented groups often do not apply for roles they do not feel they meet all the criteria for. If you think you have what it takes, but do not necessarily check every single box, please consider applying. We’d love to speak with you.Additional Information for United States jobs:ELIGIBILITY TO WORK AND E-VERIFYIn compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.Juniper Networks participates in the E-Verify program. E-Verify is an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of new hires and the validity of their Social Security Numbers.Information for applicants about E-Verify / E-Verify Información en español: This Company Participates in E-Verify / Este Empleador Participa en E-VerifyImmigrant and Employee Rights Section (IER) - The Right to Work / El Derecho a TrabajarE-Verify® is a registered trademark of the U.S. Department of Homeland Security.Juniper is an Equal Opportunity workplace and Affirmative Action employer. We do not discriminate in employment decisions on the basis of race, color, religion, gender (including pregnancy), national origin, political affiliation, sexual orientation, gender identity or expression, marital status, disability, genetic information, age, veteran status, or any other applicable legally protected characteristic. All employment decisions are made on the basis of individual qualifications, merit, and business need.",Mid-Senior level,Data Science Intern/ AI/ML Engineer Intern - Summer 2025
+264,2025-03-23,Mountain View,CA,Nuro,https://www.nuro.ai,"Nuro exists to better everyday life through robotics.
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+Founded in 2016, Nuro is a leading AI Robotics company with fully autonomous vehicles on road today in California and Texas. The company’s core technology is the Nuro Driver™, an integrated autonomous driving system consisting of state-of-the-art, AI-first software and automotive grade L4 sense and compute hardware. The first commercial application of the Nuro Driver™ is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.","Who We AreNuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver™ is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver™ is one of the few driverless autonomous technologies on public roads today.Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We’ve partnered with some of the world’s most respected brands including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven.About The RoleThe Mapping team in Nuro takes a machine learning first path to unblock geographic capability with lower costs. This team plays a crucial role in the advancement of autonomous driving systems by creating and improving different components in the full lifecycle of ML models for multiple teams in this organization. We are searching for an engineer with experience building reliable and scalable machine learning infrastructure and a strong desire to contribute to the future of robot navigation for logistics and transportation.About The WorkMainly focus on building and improving data and machine learning systems.Build model training infra for L&M model training by leveraging and improving existing internal frameworks.Engage with other L&M teams to help identify issues and establish long-term relationships that include knowledge sharing.Provide valuable feedback loops to model training teams backed by data and metrics.Contribute to engineering a high-performance system through architectural design, algorithmic optimization, and performance tuning.About You3+ years of hand-on experience in building scalable backend systems for training and evaluation of machine learning models.Understanding of machine learning, distributed systems, reliability and scalability, cloud platform, and common storage solutions.Ability to efficiently develop, debug, and support new technologies in a changing environment.Strong problem-solving skills and ability to write production-quality clean code.At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $138,225 and $207,575 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.",Mid-Senior level,"Software Engineer, Map ML Platform"
+265,2024-06-27,,,FORDER I.T.,www.forder-it.com,"FORDER I.T. only works with the most desirable and greatly anticipated AI & ML start-ups. 
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+We hand pick clients that have a long term vision to become the best in their field. But also create the best working environment, benefits and growth plans for their members of staff.   ","We are currently seeking a talented and innovative Machine Learning Developer to join our clients dynamic team. In this role, you will collaborate closely with our researchers to leverage your expertise in machine learning and software engineering. As a Machine Learning Developer, you will play a key role in the design, development, and maintenance of systems dedicated to high-performance, large-scale knowledge discovery in financial data. Responsibilities:Design, implement, test, and document modules for all stages of the pipeline, from data processing to predictions.Assemble modules into end-to-end systems, ensuring seamless integration and functionality.Collaborate with researchers to facilitate highly productive experimentation, model construction, and validation.Contribute to the continuous improvement of our machine learning systems by staying abreast of advancements in software engineering and machine learning.Qualifications:Strong knowledge of software engineering principles.Proficiency in machine learning and familiarity with open-source machine learning ecosystems.Demonstrated track record of building and applying high-performance machine learning systems.Effective communication skills and the ability to collaborate with cross-functional teams.Flexibility to work in a fast-paced and dynamic environment.Preferred Qualifications:Impressive record of academic achievement (a plus, but not mandatory).Welcoming outstanding candidates from diverse academic disciplines and backgrounds.If you are passionate about pushing the boundaries of machine learning in the financial domain and thrive in a collaborative and challenging environment, we invite you to apply for this exciting opportunity. Apply online or to oliver@forder-it.com",Mid-Senior level,Machine Learning Engineer
+266,2025-03-26,San Francisco,California,EvenUp,https://www.evenuplaw.com,"EvenUp's vision is to help these injury victims get the justice they deserve, irrespective of their income, demographics, or legal representation.","EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.Why We Are Hiring a Machine Learning EngineerAt EvenUp, the Machine Learning Team is pivotal in leveling the playing field in legal disputes. We tackle challenging problems at the intersection of ML, information retrieval, and generative AI to create meaningful impact for plaintiffs and attorneys. As a Machine Learning Engineer, you will contribute to building scalable, innovative solutions in the domain of Document AI, working on complex legal data and leveraging cutting-edge techniques to deliver actionable insights and transformative results.This role provides a unique opportunity to work with a proprietary dataset, solve high-impact problems, and see your contributions lead to real-world justice.This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs.What You'll DoPioneer cutting-edge Document AI systems at the forefront of generative AI innovation, building next-generation models that go beyond traditional document processing to achieve human-level understanding of complex legal and medical documents, intelligently extract key entities and relationships, perform sophisticated multi-document reasoning, and generate contextually-aware documents that transform business workflows.Implement and advance technologies in:Information Extraction (using traditional ML, LLMs, and multi-modal LLMs for entity recognition, relationship extraction, and document structure understanding)Information Retrieval (query understanding, semantic search, hybrid retrieval architectures, and learning-to-rank models)Data Management (schema design, knowledge graphs, distributed data pipelines, and petabyte-scale processing)RAG (Retrieval-Augmented Generation) with advanced techniques like multi-hop reasoning, chain-of-thought prompting, and self-consistency checksPrompt Engineering (few-shot learning, instruction tuning, and context window optimization)LLM fine-tuning (parameter-efficient techniques like LoRA/QLoRA, instruction fine-tuning, and domain adaptation)Collaborate with domain experts (legal, healthcare, etc), product managers, and engineers to translate insights into robust machine learning systems.Create tools that empower internal teams and clients to make data-driven decisions.Mentor junior team members, promoting a culture of excellence and collaboration.What We Are Looking ForWe recognize the breadth of skills required and do not expect candidates to have experience in all areas. We seek talent with a strong foundation in machine learning, information retrieval, or data management, with particular interest in LLM and generative AI technologies.3+ years of experience in machine learning, data science, or similar technical roleStrong software engineering fundamentals and proficiency in PythonDemonstrated expertise in:Classical ML techniques (regression, classification, clustering)Deep learning frameworks (PyTorch, TensorFlow)Natural language processing and information extractionLarge language models and prompt engineeringRAG system design and implementationAdvanced RAG techniques (multi-hop reasoning, self-consistency)Vector databases and embedding techniquesModel evaluation and validation methodsExperience with:LLM fine-tuning (LoRA, QLoRA, instruction tuning)Knowledge graph construction and reasoningProduction ML system deploymentDistributed computing and data processingExcellent communication skills with ability to:Explain complex technical concepts clearlyCollaborate effectively with cross-functional teamsWrite clear technical documentationSound judgment in balancing technical tradeoffs with business needsWhy Join EvenUpBe part of a mission-driven company making a tangible impact in the lives of injury victims.Work at the cutting edge of Document AI, tackling challenging ML and data problems.Collaborate with a diverse team of experts from top tech, legal, and investment firms.Grow with a rapidly scaling company backed by world-class investors and thought leaders.If you’re passionate about solving meaningful problems, advancing ML technologies, and making a difference, we’d love to hear from you!Notice To CandidatesEvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com or @evenup.ai, or no-reply@ashbyhq.com email address.If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & PerksOur goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco, Los Angeles, and TorontoPlease note the above benefits & perks are for full-time employees About EvenUpEvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.",Entry level,Machine Learning Engineer
+267,2025-03-24,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2935863",Not Applicable,"Machine Learning Engineer, AGIF | Finetuning"
+268,2025-01-14,Birmingham,Alabama,ArcheHealth,www.archehealth.ai,,"We are passionate about leveraging cutting-edge technology and advanced analytics to drive growth and optimize margins for healthcare systems. Founded by a team of seasoned experts in technology, data science, and business strategy, our mission is clear: to empower organizations with the insights and tools they need to thrive in today's competitive landscape.With a relentless focus on innovation, we harness the power of data to uncover hidden opportunities and streamline operations. Whether it's through predictive analytics, machine learning algorithms, or bespoke software solutions, we tailor our approach to meet the unique needs of each client, delivering tangible results and sustainable competitive advantage.What sets us apart is our commitment to partnership and collaboration. We work closely with our clients every step of the way, from initial assessment to implementation and beyond, ensuring that our solutions are not only effective but also seamlessly integrated into existing workflows.Join us on the journey to redefine what's possible in business optimization. Together, let's unlock the full potential of technology and analytics to drive growth, enhance efficiency, and maximize margins.About The RoleWe are seeking a highly motivated Machine Learning Engineer to join a start-up engineering team working in stealth mode. The ideal candidate will have a solid background in machine learning, deep learning, and artificial intelligence, and a strong interest in developing scalable and efficient machine-learning models. As a Machine Learning Engineer, you will be involved in cutting-edge projects aimed at providing data-driven solutions and delivering valuable insights for our organization and customers.What You'll DoDevelop and deploy machine learning models, algorithms, and solutions to solve complex business problems.Collect, preprocess, and analyze data to derive valuable insights and patterns for model training and optimization.Collaborate with cross-functional teams to understand business requirements and translate them into machine-learning solutions.Implement and optimize machine learning pipelines, ensuring scalability, reliability, and efficiency of the models.Experiment with various machine learning algorithms, techniques, and frameworks to improve model performance and accuracy.Stay updated on the latest trends in machine learning, AI technologies, and incorporating innovative approaches into our projects.Conduct thorough model evaluation, testing, and validation to ensure the robustness and effectiveness of the solutions.Document and communicate technical concepts, methodologies, and findings to stakeholders and team members.Describe the specific responsibilities and job functions of the roleQualificationsBachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. 3 to 5 years of experience in machine learning, deep learning, and artificial intelligence roles, with a proven track record of developing and deploying machine learning models.Strong programming skills in Python, R, C, C++, SQL, or Java, with experience using machine learning libraries and frameworks such as TensorFlow, Keras, or PyTorch.Solid understanding of data preprocessing, feature engineering, model evaluation, and optimization techniques.Experience with big data technologies like Apache Kafka, Spark, and cloud computing platforms.Excellent problem-solving skills, analytical thinking, and attention to detail.Strong communication and collaboration skills to work effectively in a team environment.Describe the experience and attributes of the ideal candidateBenefitsCompetitive salary and benefits package for FTEsOpportunities for professional growth and developmentCollaborative and innovative work environment",Entry level,Machine Learning Engineer
+269,2025-04-01,Boston,Massachusetts,Publicis Sapient,http://publicissapient.com/,"Publicis Sapient is a digital business transformation company. We partner with global organizations to help them create and sustain competitive advantage in a world that is increasingly digital. We operate through our expert SPEED capabilities: Strategy and Consulting, Product, Experience, Engineering and Data, which combined with our culture of curiosity and deep industry knowledge, enables us to deliver meaningful impact to our clients’ businesses through reimagining the products and experiences their customers truly value. Our agile, data-driven approach equips our clients’ businesses for change, making digital the core of how they think and what they do. Publicis Sapient is the digital business transformation hub of Publicis Groupe with 20,000 people and over 50 offices worldwide. For more information, visit publicissapient.com.","Job DescriptionYour Impact:Publicis Sapient is seeking an AI Machine Learning Engineer to strengthen our Data Science division. As a key member of the team, you ll lead the development of data-driven solutions powered by cutting-edge learning algorithms, with a special focus on integrating advanced AI methodologies into our workflow. Your role involves implementing conceptual models for problem-solving within the machine learning domain and translating organizational objectives into actionable data-driven strategies. Thriving amidst diverse datasets globally, you ll have the chance to work with state-of-the-art technology and witness firsthand how your insights translate into tangible business results.This position plays a crucial role in advancing the application of machine learning as a foundational tool for addressing real-world business challenges. Leveraging your expertise in advanced AI techniques alongside traditional methodologies, you ll contribute to solving complex business problems across various areas, including Demand Forecasting, Customer Profiling, Operational Optimization, Recommendation Systems, Propensity Modeling, Conversational AI and Risk Analysis.Join us in driving innovation and delivering true business value to our customers through the strategic application of cutting-edge AI and data-driven solutions.QualificationsYour Experience:Experience across public clouds (AWS, GCP, Azure, Snowflake)Fine tuning experience of large models (LLMs, VLLMs, or Vision model)Distributed training or inference experience (distributed, ray, vllm, openllm, bentoML etc).Deployment experience or hosting experience of large models (LLMs, VLLMs, or Vision model)Optimized hosting of model s (vllms, tgi etc)Vector database experience (weaviate, milvus, HNSE, FAISS)Agentic Framework (Metagpt, Agent)Experience with prompt engineeringPassionate and informed on Data Science, AI and knowledgeable on advancements and market trendsExperience with open-source modelsBS/MS in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative or computational field. Advanced degrees preferredStrong written and verbal communication skillsArticulation skillsCollaborative and open to new ways of learningSelf-starter who thrives in an autonomous environmentAbility to prioritize and manage multiple tasksProcess oriented with the ability to define and set up processesAdditional InformationThe pay range: $123,000-153,000. The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.Working Here: Flexible vacation policy: time is not limited, allocated, or accrued 16 paid holidays throughout the year Generous parental leave and new parent transition program Tuition reimbursement Corporate gift matching program As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicissapient.com or you may call us at +1-617-621-0200.Company DescriptionPublicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.",Mid-Senior level,AI Machine Learning Engineer
+270,2025-03-27,Mountain View,California,Moveworks,https://moveworks.ai/?utm_source=soc&utm_medium=li,"Moveworks unifies every business system with natural language, giving employees one place to go to find information, automate tasks, and be more productive, increasing employee efficiency and satisfaction by streamlining everyday tasks.
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+Powered by a pioneering agentic AI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, Moveworks understands employee requests, devises intelligent plans, and executes actions to complete tasks across application boundaries in over 100 languages.
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+More than 350 brands, such as Toyota, Spotify, GitHub, Marriott, Snowflake, Unity, Databricks, Broadcom, Hearst, and Palo Alto Networks, trust Moveworks to automate menial tasks and power a universal search interface across business applications.
+
+Learn more at moveworks.com.","What will you do?Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.Build abstractions to automate various steps in different ML workflows.Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features.Leverage your experience to drive best practices in ML and data engineering.What do you bring to the table?Significant academic background in ML and/or industry experience in Machine Learning, Infrastructure or related fields.Expertise in Python and Golang.Experience with building end-to-end machine learning systems.Experience building scalable micro services and ETL pipelines.Experience with deep learning framework such as Pytorch or Huggingface.A love of research publications in the machine learning and software engineering communities.Effective communicator with experience collaborating cross-functionally with other teams.Nice to have:Experience with ML Inference framework such as TensorrtLLM or Nvidia Triton.Experience with distributed training frameworks such as Deepspeed.Base salary compensation range: $160,000-190,000Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.Moveworks Is An Equal Opportunity EmployerMoveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.Who We AreMoveworks is the universal AI copilot for search and automation across all your business applications. We give employees one place to go to find information and get support while reducing costs for your business. The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them. It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees.The world’s most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminate repetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team. In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year. We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024!Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.Come join one of the most innovative teams on the planet!",Mid-Senior level,Machine Learning Engineer - LLM
+271,2025-04-01,San Francisco,CA,Baseten,https://www.baseten.co/,"At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently. 
+
+Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models.
+
+We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic.
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+Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature.","About BasetenJoin our dynamic team at Baseten, where we’re revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by premier investors such as IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading enterprises and AI-driven innovators—including Descript, Bland.ai, Patreon, Writer, and Robust Intelligence—to deliver top-tier performance, security, and reliability for their production workloads. With our recent $75 million Series C funding, we’re poised to accelerate our mission to make AI accessible across all products. If you’re passionate about tackling impactful challenges and building transformative solutions from the ground up, we invite you to join us on this exciting journey!THE ROLEAs a Machine Learning Engineer specializing in Fine-Tuning at Baseten, you'll create exceptional value for customers by leveraging our world-class infrastructure to fine-tune large language models and/or other modalities, working directly with customers to achieve their specific goals. You'll build scalable pipelines, implement parameter-efficient techniques, and ensure a seamless transition to inference. This customer-facing role requires both technical expertise in foundation model adaptation and the ability to translate customer needs into effective solutions. You'll also help shape our product roadmap by identifying common patterns in customer requirements and working with product teams to develop reusable components and features , reducing the need for custom services and streamlining the fine-tuning process for everyone.ResponsibilitiesDesign comprehensive fine-tuning strategies that translate customer requirements into effective technical approaches—finding the optimal combination of data preparation, training techniques, and evaluation methods to deliver solutions that precisely address customer needsDevelop tools to enable non-ML experts to fine-tune models effectivelyDesign and implement scalable fine-tuning pipelines for large language models and other AI modalitiesWork directly with customers to understand requirements and guide technical implementationServe as the technical point of contact for customers throughout their fine-tuning journeyUtilize state-of-the-art parameter-efficient fine-tuning methods (LoRA, QLoRA)Build systems for efficient data preparation, evaluation, and deployment of fine-tuned modelsResearch and apply cutting-edge techniques in instruction tuning and model customizationCreate frameworks to evaluate fine-tuned model performance against base modelsImplement best-in-class distributed training techniques like FSDP and DDP across various hardware configurationsRequirementsBachelor’s degree in Computer Science, Engineering, or related field3+ years of experience in ML engineering with focus on model training and fine-tuningExperience with advanced fine-tuning frameworks such as Axolotl, Unsloth, Transformers, TRL, PyTorch Lightning, or Torch Tune, enabling efficient model adaptation and optimizationHands-on experience fine-tuning or pre-training LLMs or other foundation modelsExcellent communication skills for explaining complex concepts to varied audiencesNICE TO HAVEExperience working with customers to deliver technical solutionsTrack record of delivering ML projects to enterprise customersKnowledge of distributed training systems and efficiency optimization techniquesExperience with advanced alignment and adaptation techniques including RLHF, DPO, constitutional AI, prompt tuning, reinforcement learning with execution feedback, PPO, or other emerging alignment methodsKnowledge of prompt engineering and domain adaptation methodsContributions to open-source fine-tuning projects or toolsExperience building user-friendly interfaces for fine-tuning workflowsExperience with cloud platforms (AWS, GCP, Azure) and containerization technologiesBenefitsCompetitive compensation package (Flexible PTO, covered healthcare premiums for you and your dependents)A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our eraAn inclusive and supportive work culture that fosters learning and growthExposure to a variety of ML startups, offering unparalleled learning and networking opportunitiesApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.Compensation Range: $150K - $225K",Not Applicable,Machine Learning Engineer - Fine Tuning
+272,2025-03-21,Princeton,New Jersey ,Compunnel Inc.,http://www.compunnel.com,"Compunnel, Inc., founded in 1994 and headquartered in New Jersey, is at the forefront of providing customized workforce and digital transformation solutions, enhancing the total experience for our valued business allies. Our approach integrates innovative technologies with a human-centric dialogue, exceeding the needs of our customers, employees, partners, and key growth contributors and delivering exceptional value.  
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+With a strategic presence across the United States through over 30 local service delivery centers and global support from our centers in Canada, India, and the UK, Compunnel proudly serves over 200 clients, including 23% of Fortune-listed enterprises. Our expertise is trusted by various clients, from global corporations to various federal, state, and local agencies seeking premier talent solutions.  
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+An 12-time honoree by Inc. 5000 as one of the Fastest-Growing Private Companies in the US, Compunnel facilitates businesses in multiple sectors to secure top-tier talent and cutting-edge technology solutions. We specialize in Software Development, Cloud Services, Data Analytics, AI & Machine Learning, Cybersecurity, and  Recruitment Solutions in IT, Non IT & for Public Sector. Our AI-powered, intelligent solutions are at the core of our digital offerings, driving smarter decision-making and empowering organizations to bridge the gap between their current and desired states with precision, speed, and  a measured approach. For over three decades, we have been the leading choice of more than 23% of Fortune 500 companies for their technology and talent needs.   
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+As a recognized Minority Business in the US and Canada, we champion diversity and inclusivity, ensuring equal opportunities for talent from diverse backgrounds. Our robust partnerships with technology leaders like AWS, Microsoft, UiPath, and Google Cloud reflect our commitment to pioneering AI-driven innovations and establishing centers of excellence for our Fortune 500 clients worldwide.  
+
+ ","Machine Learning Engineer - W2 roleRequirements:Bachelor's or Master's degree in Computer Science, Engineering, or a related fieldMinimum of 5-7 years of experience in ML Ops, DevOps, or related rolesStrong knowledge of AWS services and tools related to ML Ops, such as SageMaker, Step Functions, Lambda, and CloudFormationHands-on experience building and deploying ML models in production using AWSProficiency in Python and/or other programming languages commonly used in ML, such as R, Java, or ScalaFamiliarity with containerization technologies such as Docker and KubernetesExcellent problem-solving skills and attention to detailAbility to work independently as well as in a team environmentStrong communication skills and ability to explain technical concepts to non-technical stakeholders",Mid-Senior level,Machine Learning Engineer
+273,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.AboutThe Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where """"there are no hard-to-sell, overpriced products.""""Responsibilities Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition. Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow. Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.QualificationsMinimum Qualifications Bachelor or advanced degree in computer science or a related technical discipline. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.Preferred Qualifications 3+ years of work experience in machine learning. Good product sense with a focus on user experience. Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $112000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer, Search Recommendation"
+274,2025-03-26,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged.Our TeamThe Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.Ads Inventory Management & Forecasting team builds state-of-art realtime inventory forecasting solution leveraging ML models and high performance ad server simulations. The team also builds systems that enable publisher inventory management solutions, which supports various monetization strategies such as dynamic pricing, rate card management, product packaging, inventory split and yield optimization.Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.Skills & Experience We’re SeekingExperience in building end-to-end ML model deployment and inference infra for low-latency real-time ad systems.Experience in handling data at extremely large volumes with big data tools like Spark.Productionized predictive models to forecast the effectiveness of advertising campaigns, including metrics like impressions, reach, clicks, conversions, and ROI.Building Scalable Simulation solution to model different inventory scenarios, including demand fluctuations, pricing strategies, and inventory allocation.Familiar with ads budgeting and pacing systems, models, and algorithmsGeneral understanding of the advertising marketplace and landscape, with a focus on publisher side challenges like optimizing fill rates and maximizing revenue in the context of inventory management.Collaborate with cross-functional stakeholders from science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scaleNice To HavesGood understanding of Lucene index and had experience building Lucene index with large volume of data.Familiar with publisher-side ad tech systems including ad servers, bidders, yield optimizers, and their demand-side counterparts (SSPs/DSPs)Experience in yield optimization, product recommendation and dynamic allocation of direct/programmatic guaranteed and non-guaranteed inventoryContributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, working group etc.Familiarity with legal compliance and changing landscape of ads regulations around the world.Experience working in the CTV space and knowledge of its unique constraintsOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.Netflix is a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Machine Learning Engineer (L5 - Senior) , Ads Inventory Management & Forecasting"
+275,2025-04-01,New York,,Quantix Search,,"Quantix Search is a specialised talent acquisition firm dedicated exclusively to AI and Data Science hiring across the US market. 
+
+We partner with forward-thinking technology companies to build high-performing teams, delivering bespoke talent solutions and invaluable market insights.
+
+Our approach is deeply relationship-driven, focusing on building lasting, successful partnerships with our clients. We are committed to adding value at every step of the recruitment process, ensuring that we understand and align with your unique needs and goals.
+
+In the complex and rapidly evolving fields of AI and Data Science, attention to detail and a deep understanding of market trends are crucial. We are committed to excellence, delivering precise, high-quality matches that meet your unique needs. Our partnerships range from innovative start-ups to large corporations, each benefiting from our strategic advantage and deep market intelligence.
+
+Email: greg.evans@quantixsearch.com","🚀 Machine Learning Engineer 📍 San Francisco, CA (On-site) 💵 $150k - $240k + EquityAbout the Company:Our client is an exciting AI startup working to solve a critical problem in the industry: transforming complex, unstructured documents such as PDFs and spreadsheets into LLM-ready inputs with exceptional accuracy. Their technology is already being used by hundreds of companies, from startups to Fortune 10 enterprises, processing millions of pages each month.With a rapidly growing team and a focus on innovation, the company is scaling their product offerings and looking for talented Machine Learning Engineers to join their founding team. If you are passionate about machine learning and want to make a real impact on the future of AI, this is the opportunity for you!About the Role:As a Machine Learning Engineer, you will play a key role in shaping the development of the company’s core technology. Your responsibilities will include:Training and deploying state-of-the-art models for parsing and interpreting unstructured data.Experimenting with novel techniques to improve the accuracy of LLMs.Building data pipelines, evaluating model performance, and integrating models into the product.Working closely with the founding team and customers to shape the product direction and engineering strategy.What We’re Looking For:2-5 years of experience in machine learning engineering, with a focus on training, fine-tuning, and evaluating models used in production systems.Exceptional skills in Python and experience with computer vision and vision-language models (VLMs).Experience in API integration and building your own tools (e.g., quick apps like Streamlit to test hypotheses or create datasets).A quantitative approach to product development, with the ability to debug, experiment, and iterate quickly.High standards for quality and the ability to take ownership of projects from ideation to shipping.Bonus Points If You:Have founding experience or have worked at an early-stage startup, helping shape products at their core.Stay up to date with the latest developments in ML/AI.Are highly ambitious and driven, passionate about working with great people and creating great products.If you're looking for an exciting opportunity to work on complex machine learning problems and make an impact from day one, apply today!",Mid-Senior level,Machine Learning Engineer
+276,2025-04-01,Mountain View,CA,Contextual AI,https://contextual.ai,"Contextual AI is the leader in retrieval-augmented generation (RAG). Founded by the pioneers of RAG, Contextual AI’s mission is to change the way the world works through AI. 
+
+The Contextual AI platform empowers enterprises to build specialized RAG agents for expert knowledge work. Fortune 500 companies, such as HSBC and Qualcomm, rely on Contextual AI to boost productivity for thousands of their subject-matter experts. 
+
+You can learn more and explore open roles at contextual.ai","About the roleAs a Member of Technical Staff specializing in Applied Research, you will work on state of the art research and applying that to production systems for RAG 2.0 (Contextual Language Models + Fine Tuning + Alignment).What you'll doWork on and do research in state-of-the-art retrieval augmented language models as well as fine tuning and preference alignment. Collaborate closely with ML researchers, product managers, and designers to understand requirements and translate them into technical solutions.Integrate this research into the product through Software Development. Architect and build scalable and efficient backend services, APIs, and databases to support the platform's functionality and performance requirements. Ensure seamless integration with machine learning models and pipelines, enabling efficient model deployment and management. Collaborate with cross-functional teams to continuously improve the platform's functionality, usability, and user experience. Stay up-to-date with industry best practices, emerging technologies, and advancements in machine learning and software development. Mentor and provide technical guidance to junior team members, promoting knowledge sharing and professional growth. What we're seekingBachelor's degree in Computer Science, Software Engineering, or a related field. Master's or PhD preferred. Detailed knowledge of machine learning concepts and frameworks. Language Models and NLP experience is a plus. Strong Proficiency in programming languages such as Python, JavaScript, or Java and in backend software development. Experience with cloud platforms, such as AWS, Azure, or GCP, and familiarity with deploying applications on the cloud. Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. Excellent communication and interpersonal skills, with the ability to work closely with cross-functional teams. Location: Mountain View, CASalary Range for California Based Applicants: $150,000 - $400,000 + equity + benefits (actual compensation will be determined based on experience, location, and other factors permitted by law).Equal EmploymentContextual AI provides equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, physical or mental disability, military or veteran status, genetic information, or any other protected classification. Equal employment opportunity includes but is not limited to, hiring, training, promotion, demotion, transfer, leaves of absence, and termination. Contextual AI takes allegations of discrimination, harassment, and retaliation seriously, and will promptly investigate when such behavior is reported.",Entry level,Machine Learning Engineer
+277,2025-03-18,San Francisco,California,Stream,http://www.stream.claims,"Stream's revolutionizes the $50B workers' compensation industry through AI-powered solutions that reduce time, cost, and error in medical document management. Our products, built by former claims adjusters and insurance professionals, empower healthcare professionals, insurers, and attorneys to streamline manual document workflows.","Stream’s Mission: Cut the time, cost, and hassle of managing 10B+ medical documents in workers’ comp, so professionals can focus on results, not paperwork.We’re growing fast and are looking to bring on a Machine Learning Engineer to scale our platform and elevate our product, ensuring top-notch service for our customers.Before ApplyingWe are in-person and work from the office 4 days a week in the Mission districtAs an early-stage startup, Stream offers you unmatched autonomy and ownership. You’ll need to make quick decisions with minimal guidance, often stepping into roles like product manager, engineer, or even sales and ops as we grow.We’re a team in our 30s, not college dropouts, and we care about work-life balance. That said, the startup life means going beyond 9-5 when the situation calls for it—which happens often.The Job: As a Machine Learning Engineer you are expected to develop and deploy machine learning models to production on a regular basis, contributing to our mission of streamlining medical document management in the workers' compensation industry. You will also play a key role in shaping our AI strategy and processes as we grow.In This Role, You WillDesign and implement machine learning solutions to process and extract insights from medical documentsIntegrate these models into our existing backend infrastructureStay current with the latest advancements in machine learning and AI to continuously improve our productOur Tech Stack IncludesServerless computing with AWS Lambdas and Fargate (Python)CDK and GitHub actions for CI/CDDynamoDB and Redshift for data storageSvelt (Typescript) + SST for web applicationsVarious large language models (LLMs), embedding models, and traditional AI modelsBenefits: In addition to health/dental/vision insurance and 401k benefits, we provide daily lunch, monthly outings, and a group of extremely passionate, curious and smart people to work with",Entry level,Machine Learning Engineer
+278,2025-01-29,Santa Clara,CA,Tiger Analytics,http://www.tigeranalytics.com,"In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. 
+
+Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. 
+
+If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.","Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!What You'll Do:Collaborate with cross-functional teams to design and deploy ML models. Develop reusable, scalable code for AI/ML applications. Leverage GCP services to build end-to-end machine learning pipelines. Optimize models for performance and scalability using Vertex AIRequirementsKey Requirements: Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools.  Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI.  Model Development & Deployment: Proven ability to design, build, and productionize machine learning models.  API Development: Skilled in developing robust APIs for seamless integrations.  Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us?Work remotely while contributing to cutting-edge projects. Collaborate with a dynamic team passionate about AI/ML innovation. Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that's shaping the future of AI!BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.",Mid-Senior level,Machine Learning Engineer
+279,2025-04-02,Huntington Beach,California,Layup Parts,www.layupparts.com,Layup manufactures composite parts and the tooling to make those parts.  We are developing tools that will put parts in our customers hands faster than has previously been possible.  Our goal is to ship parts faster than our competition can return a quote.,"Layup Parts is a startup that manufactures composite parts and the tooling to make those parts. Our mission is to ship parts faster than our competition can return a quote.We utilize the latest technology to reshape the composites industry by manufacturing high quality composite parts faster and more affordably than anyone else. Our customers are developing tomorrow's high tech products, and we are building technology to accelerate their success using scalable automation.We are also a team of experienced founders, product leaders, and engineers who have built and supported some of the fastest-growing brands in the US. We have raised funding from advisors and institutional investors, including Founders Fund, Lux Capital and Haystack.About the Role:We are looking for highly motivated fresh graduate, preferably with a CS major, to join our team as a key member of our growing engineering function. This individual will partner closely with our CTO and other founders and work directly with team members, and advisors.This is a high-impact role that presents a unique opportunity to make decisions that shape the technical trajectory of Layup. You are an ideal candidate if you are looking to join an exceptional team and play a significant role in the growth and success of an early-stage startup.What you will do:Build out our factory operating systemDesign interfaces for production machinery to capture real time dataCollaborate and create new features for our customer portalDevelop internal tools and improving manufacturing processes with automationRequired:Being awesome! Be the kind of person you want to work with!Very strong engineer with exceptional ability driven by engineering fundamentalsAbility to quickly understand and navigate complex systems and established code basesPreferred:Experience with Go, React TS or RustExperience designing software related to 3D part representations or manipulation in a CAD/CAM program or similarFamiliarity with customer facing software applicationsExperience regarding manufacturing or part design (especially composites)Good understanding of the mechanical and manufacturing worldEquity & Benefits",Not Applicable,Software Engineer (New Grad)
+280,2024-09-14,New York,,Output Biosciences,https://outputbio.com,Output is pioneering Biologically-Aware Generative AI to finally understand complex biological systems and generate breakthrough medicines.,"The RoleJoin us in creating biological reasoning and building foundational models for systems biology, harnessing generative AI to revolutionize our understanding and programming of biology from molecules to organisms. As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales.You will design and implement advanced machine learning algorithms to enhance model performance and biological understandingYou will develop and fine-tune generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systemsYou will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasetsYou will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimizationYou will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splitsWho We're Looking ForYou have a Bachelor's in Computer Science, Machine Learning, or a related technical fieldYou have 3+ years of experience in developing and implementing machine learning modelsYou are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX)You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencodersYou are skilled in working with large-scale datasets and distributed computing environmentsYou are skilled in scaling models and working with large-scale datasets and distributed computing environments, including experience with AWS for training, inference and deploymentYou have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metricsYou have experience in designing and implementing efficient data pipelines for processing and managing large datasetsYou are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projectsYou are experienced in code organization, version control, and collaborative software development practicesYou have excellent problem-solving skills and the ability to quickly adapt to new challengesYou exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving themYou have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertaintyYou have excellent communication skills and can clearly articulate complex technical conceptsYou are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativityBonus pointsYou have experience applying machine learning to biology or chemistryYou have contributed to open-source machine learning projects or published research papers in the field of AI/MLYou have experience optimizing machine learning models for high-performance computing environmentsYou are familiar with ML-Ops practices and tools for managing ML experiments and deploymentsOur Values❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community.📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.🎮 Fun: We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling.What We OfferWe encourage new and different ideas, creativity and contrarian thinking. We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark!You own your day-to-day management. We don't care when or where you work, we care if we all hit our milestones.Competitive salary and equity in a growing, well-funded startupExcellent medical, dental, and vision coverageHealthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you",Entry level,Machine Learning Engineer
+281,2025-03-21,Foothill Ranch,California,"Gatekeeper Systems, Inc.",http://www.gatekeepersystems.com,"Gatekeeper Systems’ expanded product suite of intelligent cart solutions offers solutions for EVERY retailer’s needs to minimize merchandise loss and reduce asset and labor expenditures.
+Gatekeeper’s loss prevention and cart containment solutions utilize patented locking technology to put an end to cart-based shoplifting, shopping cart loss, and uninformed decision-making. Cart management solutions increase safety and reduce labor costs by maximizing productivity while simultaneously resulting in a positive store image.
+Intelligent pushout theft prevention solutions stop thieves and their cart full of unpaid merchandise from leaving the store. Customizable technology allows retailers to defend their entire store or just a high loss department based on the store’s unique layout.
+Business Intelligence solutions provide increased visibility for informed decision making. Increase efficiency, optimize fleet size, and perfect the entire customer shopping experience with store and enterprise-level analytics.
+
+Contact 888.808.9433 or info@gatekeepersystems.com to learn more.
+","Gatekeeper Systems stands proudly as the foremost global leader in retail loss prevention, operations management, and analytics, with our headquarters based in Foothill Ranch, California. We maintain a strong presence across the globe, with offices in the UK, Australia, China, Hong Kong, Germany, France, and Canada, fostering a diverse team of 450 talented employees. Over the past 25 years, Gatekeeper Systems has been at the forefront of the industry, demonstrating our commitment to excellence through cutting-edge technologies and unparalleled customer service. Join us on our journey as we continue to revolutionize the retail sector, providing innovative solutions and services that redefine industry standards.POSITION SUMMARY:We are looking for a highly skilled Machine Learning and Artificial Intelligence Engineer to design, develop, and implement AI-driven solutions that enhance our products and services in the Retail Theft Prevention domain. The ideal candidate should have a strong background in machine learning, with expertise in both supervised and unsupervised methodologies. A solid understanding of traditional machine learning techniques such as decision trees and SVNs, as well as deep learning approaches, is highly preferred.A key advantage would be the ability to optimize machine learning models for efficient deployment on edge devices, ensuring performance and scalability in real-world environments. Additionally, experience in data transformation and preprocessing is desirable, particularly the ability to structure and adapt data for seamless integration with machine learning models.This role offers the opportunity to work on cutting-edge AI solutions that drive innovation in computer vision, anomaly detection, and predictive analytics within the retail security landscape.WHAT WE OFFER…Join the team at Gatekeeper Systems and watch your career grow! We offer competitive compensation and benefits packages that include:Attractive Total Compensation Package, including annual bonusComprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options.401(k) Plan with Employer MatchGenerous Paid Time Off (PTO) policyObservance of 11 paid company holidays Various Employee Engagement EventsExciting Growth OpportunitiesPositive Company CultureESSENTIAL JOB FUNCTIONS; but not limited to:Design and implement real-time object detection, tracking, and classification solutions using machine learning and computer vision techniques.Optimize models for real-time processing on various platforms, including edge devices, cloud-based systems, and embedded hardware, ensuring low-latency performance.Develop and manage end-to-end machine learning pipelines to automate and optimize data curation, preprocessing, and model training workflows.Implement automation tools and monitoring frameworks to track model performance, detect anomalies, and streamline updates.Design, develop, and deploy unsupervised machine learning models to identify anomalies and irregular patterns in system operations, data streams, or user behaviorDesign and implement models to detect, diagnose, and resolve system issues.QUALIFICATION REQUIREMENTS The requirements listed below are representative of the knowledge, skill and/or ability required.Strong knowledge of algorithm development and data structures.Proficiency in TensorFlow Lite and model quantization.Ability to thrive in a fast-paced environment and handle complex, evolving requirements.Track record of innovative problem-solving and a willingness to explore unconventional approaches.Exemplifies professionalism in all aspects of day-to-day duties and responsibilities.Self-aware and open to learning about personal effectiveness in the workplace.Exhibits a positive attitude toward the vision, policies, and goals of Gatekeeper Systems.Constantly strives to improve performance and effectiveness of the team and the company.EDUCATION AND/OR EXPERIENCEMaster’s degree (preferred) in CS, CE, ML or related field experience3+ years of building models for edge deployment for camera-based object detection and classificationExperience programming in Python (preferred) or C/C++Experience with deep learning frameworks like PyTorch or TensorFlow.Experience working with MobileNetV2 and YOLOv8 models.Experience with Google Cloud Platform and cloud-based AI workflows.PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Repetitive motions and routine use of standard office equipment such as computers, telephones, copiers/scanners and filing cabinets.Ability to see, speak, walk, hear, stand, use of hand/fingers to handle or feel; climb stairs, stoop, carry/lifting up to 5O lbs.Ability to sit at a desk.Specific vision abilities required include close vision, color vision, peripheral visions, depth perception and the ability to adjust focus.DISCLAIMERThis Job Description is a general overview of the requirements for the position. It is not designed to contain, nor should it be interpreted as being all inclusive of every task which may be assigned or required. It is subject to change, in alignment with company/department needs and priorities.Gatekeeper Systems, Inc., is an equal opportunity employer. We are committed to developing a diverse workforce and cultivating an inclusive environment. We value diversity and believe that we are strengthened by the differences in our experiences, thinking, culture, and background. We strongly encourage applications from candidates who demonstrate that they can contribute to this goal. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any protected basis.",Mid-Senior level,AI & Machine Learning Engineer
+282,2025-04-08,Santa Clara,California,AMD,http://www.amd.com,"We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 
+AMD together we advance_ ","WHAT YOU DO AT AMD CHANGES EVERYTHINGWe care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.AMD together we advance_Sr. Development Engineer -- ML Training and PerformanceThe RoleWe are looking for a Machine Learning Engineer to join our Models and Applications team. If you are excited by the challenge of distributed training of large models on a large number of GPUs, and if you are passionate about improving training efficiency while innovating and generating new ideas, then this role is for you. You will be part of a world class team focused on addressing the challenge of training generative AI.The PersonThe ideal candidate should have experience with distributed training pipelines, be knowledgeable in distributed training algorithms (Data Parallel, Tensor Parallel, Pipeline Parallel, ZeRO), and be familiar with training large models.Key ResponsibilitiesTrain large models to convergence on AMD GPUs.Improve the end-to-end training pipeline performance.Optimize the distributed training pipeline and algorithm to scale out.Contribute your changes to open source.Stay up-to-date with the latest training algorithms.Influence the direction of AMD AI platform. Collaborate across teams with various groups and stakeholders.Preferred ExperienceExperience with ML frameworks such as PyTorch, JAX, or TensorFlow.Experience with distributed training and distributed training frameworks, such as DeepSpeed.Experience with LLMs or computer vision, especially large models, is a plus.Excellent Python programming skills, including debugging, profiling, and performance analysis.Experience with ML pipelines.Strong communication and problem-solving skills.Academic CredentialsA Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.LOCATION:San Jose, CAAt AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.",Mid-Senior level,Machine Learning Engineer
+283,2025-04-05,San Jose,California,Roku,https://www.weareroku.com/,"With the #1 platform for streaming television in the U.S., Roku wants to revolutionize the way the world watches TV. 
+
+Our Roku-branded TVs, Roku TV models, Smart Home system, streaming players, audio equipment, and the purpose-built operating system that powers it all can turn any home into a home theater, with seamless integration of hardware and software. Our commitment to our users extends to our brand studio, which creates innovative Roku Originals exclusively for The Roku Channel, a free channel that reaches approximately 80 million households in the U.S. and Mexico.   
+
+Join us and you'll have the chance to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. Be a part of shaping the future of streaming at weareroku.com. ","Teamwork makes the stream work.Roku is changing how the world watches TVRoku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.  About the teamThe Core Analytics Team is a centralized function to provide data-driven insights to business and products. We collaborate closely with our Product and Engineering teams to deliver the best experiences to our customer and maximize the value proposition for the business. About the role Roku is looking for a Sr. Data scientist to join the Core Analytics team to support our experimentation platform. This individual will be responsible for helping to scale Roku’s experimentation capabilities, exploring and implementing scalable and robust statistical methods that can apply to a broad range of experimentation problems. The successful candidate will help build tooling for engineers, product managers, and marketers to self-serve their own experiments and establish experimentation best practices across Roku. This individual will work closely with product management and data engineering and software engineer to identify opportunities to create new features, drive their adoption. This individual will investigate and develop solutions to track, monitor and improve our Experimentation ecosystem. The successful candidate is quantitatively driven, well versed in experimentation and advanced statistical methods, detail-focused, and possesses an elevated level of problem-solving expertise. For California Only - The estimated annual salary for this position is between $132,000-$254,000 annually.  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.  This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.Roku will be accepting applications for this position until May 27, 2025 [or until the position filled].What you'll be doing Help shape the roadmap to drive experimentation at Roku Define the standard for statistical analysis across varying types of experiments and units of analysis ensuring robust results with minimal bias Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like bayesian inference and causal methods to optimize complex strategies Develop necessary data pipelines to power automation, validation and reporting Collaborate with stakeholders to align data science initiatives with organizational goals and strategy Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback   We're excited if you have 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, Computer Science, or other quantitative field)  Strong statistical acumenHands on experience on experimental design, A/B testing, causal inference and statistical modeling/forecasting Expertise in SQL, SAS, R, Python or other programming languages to query data and perform analysis Hands on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment The ability to effectively communicate with technical and non-technical business partners alike, and who are interested in building strong cross-functional relationshipsA desire to question the status quo and promote innovative solutions to challenging problems  BenefitsRoku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku CultureRoku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.",Mid-Senior level,"Senior Data Scientist, Experimentation"
+284,2025-04-06,Mountain View,California,Codeium,codeium.com,"At Codeium, we're rewriting the future of software development. As the creators of Windsurf, the first agentic IDE, we're using cutting-edge AI to build the modern coding superpower.
+
+We believe there are too many parts of the traditional coding workflow that are boring, tedious, or downright frustrating. From regurgitating boilerplate to poring through StackOverflow, we know YOU deserve better. 
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+So, our mission is clear: empower developers to dream bigger. Beyond manual tasks, we're creating seamless flows to turn your ideas into code, all within an AI-collaborative environment. Ready to unlock your coding potential?","We're looking for an ML research-focused software engineer to join us on our mission to build AI superpowers for developers.About UsFeatured on the Forbes AI 50 list, Windsurf (formerly Codeium) has risen to become a leader in the AI developer tools space in just over a year, giving hundreds of thousands of users around the world code autocomplete, in-editor chat assistants, and more. our IDE plug-in span 70+ programming languages and 40+ editors. Our state-of-the-art proprietary language models and custom inference stack allow us to deliver the best experience possible to our users. We've achieved substantial revenue and enterprise traction as proof of the quality and usefulness of our tools.We're one of the fastest growing AI startups, focused on product, revenue, and customer experience. We work hard, and we operate with a high degree of trust, agency, and ownership.What You'll DoTrain and fine-tune large language modelsNavigate high levels of uncertainty and prioritize high-value ML experiments to maximize product impactDemonstrate initiative and the ability to start and make progress on projects independentlySwiftly design, track, and analyze experiments results. Meticulously document findings, conduct ablation studies, and synthesize data into actionable insights.Participate in the ML reading group and level up the team's knowledge of LLM training and infrastructureAbout YouStrong software engineering skills. There are no pure research scientists at the company.Strong grasp of the feasibility frontier of CS, AI, and LLMs, from H100 bandwidth to GPT-4 capabilities to vector database performance.Deep curiosity about the code generation problem. Willingness to constantly re-examine priors in the face of new discoveries.Skilled in transforming successful experimental outcomes into robust, scalable features for the core product offeringExperience training and iterating on large production neural networks in any domain (self-driving, language models, etc.) is a strong plusFamiliarity with AI-powered developer tools like Windsurf, Copilot, ChatGPT, and others is a strong plusWhat We BelieveOur best work is done in person. The team goes in 5 days a week into our office in downtown Mountain View, CA (within walking distance of the Caltrain station).Research is in service of a better product. While we read many papers, we won't have time to write them. The best AI researchers have excellent software engineering skills and know that infrastructure and evaluation work are critical.Recent projectsSome of the things that our research-focused software engineers have worked on recentlyRegularly deploying an autocomplete and chat product that scales to hundreds of thousands of daily active users.Instruction and edit fine-tuned models for Windsurf Plugin Command.Realtime context retrievalCodebase fine-tuning",Entry level,"Software Engineer, ML Research"
+285,2025-03-25,Palo Alto,California,LandingAI,http://landing.ai,LandingAI provides a cutting-edge software platform that enables computer vision easy for a wide range of applications across all industries.,"LandingAI™ delivers cutting-edge Visual AI solutions that empower customers to unlock the value of visual data. With visual data sets, companies realize the value of AI and move AI projects from proof-of-concept to production. Guided by a data-centric AI approach, LandingAI’s flagship product, LandingLens™ is a Visual AI platform that enables users to build, iterate, and deploy Visual AI solutions quickly and easily. With data quality being key to the success of production AI systems, LandingLens™ allows users to achieve optimal data accuracy and consistency. Additionally, LandingAI is a pioneer in the field of Large Multimodal Models (LMM) which enhance the ability to process and understand visual data at scale, making sophisticated Visual AI tools more accessible and efficient. Founded by Andrew Ng, co-founder of Coursera, founding lead of Google Brain, and former chief scientist at Baidu, LandingAI is uniquely positioned to lead the development of AI from a technology that benefits a few to a technology that benefits all.As a key member of our collaborative team, you will work on developing AI-driven solutions within our VisionAgent and LandingLens products. Your responsibilities will include staying up-to-date with the latest research in the field, testing new techniques, and potentially integrating cutting-edge advancements into our products. Additionally, you will be involved in constructing and curating datasets, testing machine learning models and agentic frameworks, and fine-tuning these frameworks to improve performance and effectiveness.What You’ll Do:Apply Machine Learning: Work with machine learning models, algorithms, and data to solve real-world problems related to computer vision and other AI tasks.Collaborate with Teams: Partner with engineers, data scientists, and other stakeholders to ensure smooth integration of AI solutions into our products.Backend Development: Contribute to building backend systems, including working with databases, APIs, and other backend services, ensuring they support our AI systems effectively.Continuous Learning: Stay updated with the latest advancements in machine learning and contribute ideas for improving our solutions.Support the Team: Assist senior team members in the development, testing, and optimization of machine learning models and systems.What We’re Looking For:Education: A degree in Computer Science, Engineering, Data Science, or a related field and 2-3 years of work experience.Machine Learning Knowledge: Solid understanding of machine learning concepts, including having worked on machine learning models or taken related courses.Software Engineering Skills: Experience with coding (preferably in Python or similar languages), basic backend systems, and databases. Familiarity with web services or APIs is a plus.Collaboration & Communication: Strong interpersonal skills and the ability to collaborate effectively with team members. Comfortable discussing technical ideas and learning from others.Curiosity & Problem-Solving: A passion for learning and a desire to work on complex, impactful problems.Location & Work Environment: Must be located in the Bay Area and available to work from our Palo Alto office at least three days a week.Why Join Us?Impactful Mission: Be at the forefront of a transformative industry, shaping the future of Visual AI.Cutting-Edge Work: Work on challenging, high-impact problems with the latest advancements in AI research.Collaborative Culture: Join a team that values innovation, growth, and making a meaningful difference for our customers.Leadership Opportunity: Lead and grow an exceptional team, driving the next generation of AI solutions.Landing AI Benefits: Health: Our people and their dependents* are covered by comprehensive medical, dental, and vision plans.Wellness: We offer a fitness stipend to be used on well-being and fitness programs.Lifelong learning: With an education stipend, you are encouraged to keep learning and growing.PTO: We provided generous paid time off* so you can strive toward a balanced lifestyle.Retirement: We offer a 401k matching plan to help you plan for your future!Events: We love having fun! We set up regular virtual and in-person events to connect with each other.Global Citizen: Our people reside in North America, Latin America, and Asia. Come and join our global network!*Subject to country of employmentSalary Range:$155,000 - $175,000 a yearOur salary ranges are determined by role, level, and location, and your recruiter can provide specific details during the hiring process.We are headquartered in Palo Alto CA. While we are open to remote workers in the U.S. as long as you are GMT -8/PT time zone, local and active presence is a significant plus (SF Bay Area or Seattle/Bellevue preferred).",Mid-Senior level,Machine Learning Engineer
+286,2025-04-09,London,England,Orbis Group,http://www.weareorbis.com,"We are Orbis Group. 
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+We work with brands that are passionate about tech, diversity, community and change. 
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+Our vision is to be the premier source for identifying and connecting excellence across financial services, life sciences and technology.
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+We are people specialists. Our mission is to continuously define and identify excellence; refined to exact requirements through the rewarding experience of better partnerships.
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+This is connecting excellence.
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+Email: info@weareorbis.com
+London: 0203 854 0024
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+To view live roles and to register with us, visit www.weareorbis.com","AI/Machine Learning (ML) Engineer – New York (Hybrid) – Competitive Salary + Equity + Opportunity to work with an Ambitious, Rapidly-Growing Start-UpThis young, early-stage start-up challenger are currently looking for Founding AI/ML Engineers to join their small team and help drive the business forwards. This is an excellent opportunity for an experienced AI/ML Engineer with founding/small start-up experience to take that next step into an exciting position with a very well-run and ambitious organisation in an innovative, exciting space.This young and agile company are building cutting-edge AI platforms. They are in a unique space where there is an opportunity for them to gain significant market share very quickly.  About the Company: This very young company who were founded less than 2 years ago have taken big strides in their space already!With their ambitious product vision in AI and ML, you will tackle interesting technical challenges that push the boundaries of what’s possible. There is the opportunity to work within a complex codebase, own entire product points, and build new features end-to-end.They work on building GenAI software to help accelerate organizations.Everything they do is entrenched in achieving engineering excellence.They are a meritocratic, mission-driven organization focused on technical excellence, practical innovation, and meaningful impact with the aim of solving real problems through cutting-edge AI technology.Their culture is not corporate, and they like to trust their employees to take on a lot of responsibility and have input into the shape of growth of the organisation. About the AI/Machine Learning (ML) Engineer Vacancy:As an AI Software Engineer, you will be at the forefront of developing AI solutions.You will architect and implement the core AI systems that power their platform, from sophisticated documentation automation to intelligent workflow optimization.Key Responsibilities:• Design and implement production-scale AI systems with a focus on reliability and realworld performance• Lead technical architecture decisions for our AI/ML infrastructure• Build and optimize LLM-powered features using state-of-the-art techniques including RAG and custom fine-tuning• Develop robust evaluation frameworks and monitoring systems for AI model performance• Collaborate with domain experts to translate complex clinical requirements into technical solutions• Design and maintain data pipelines for model training and inference• Implement and maintain production ML systems with high reliability requirementsIdeal Requirements for the AI/Machine Learning (ML) Engineer Vacancy:Core AI/ML Expertise:• Strong theoretical foundation in machine learning algorithms and deep learning architectures• Several years of software engineering experience, with some of that specifically in AI/ML development• Deep expertise in Transformer models (BERT, GPT) and their practical applications• Extensive experience with RAG (Retrieval-Augmented Generation) systems• Strong background in prompt engineering and LLM optimization• Proven track record of implementing and scaling production AI systems• Expertise in Python and major ML frameworks (TensorFlow, PyTorch)• Experience with model evaluation, A/B testing, and establishing robust evaluation frameworksSoftware Engineering & Infrastructure:• Strong experience with Cloud platforms (AWS, GCP, Azure) and their AI/ML services• Expertise in building and maintaining Data Pipelines• Experience with containerization (Docker, Kubernetes) and Microservices Architecture• Strong background in API design and development• Proficiency with SQL (Postgres) and NoSQL databases• Experience with monitoring and observability tools (e.g., Datadog, CloudWatch)Product & Domain Knowledge• Regulated industry experience is a major plus• Understanding of Compliance and Data Security requirements• Strong product sense and ability to scope features based on impact and feasibility• Experience working in fast-paced environments with evolving requirements What Makes You Stand Out:• Experience deploying AI systems • Open source contributions to AI/ML projects• Background in data systems• Experience with MLOps and production ML system maintenance• Track record of mentoring other engineersApply to the Role: Roles like these are snapped up very quickly, so act now if you do not want to miss out! Reply to this advert or email your CV to richard@weareorbis.com",Mid-Senior level,"AI/Machine Learning (ML) Engineer – New York (Hybrid) – Competitive Salary + Equity + Opportunity to work with an Ambitious, Rapidly-Growing Start-Up"
+287,2025-03-31,San Francisco,CA,Instacart,https://www.instacart.com,"Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop. The company partners with more than 1,500 national, regional, and local retail banners to facilitate online shopping, delivery and pickup services from more than 85,000 stores across North America on the Instacart Marketplace. Instacart makes it possible for millions of people to get the groceries they need from the retailers they love, and for approximately 600,000 Instacart shoppers to earn by picking, packing and delivering orders on their own flexible schedule. The Instacart Platform offers retailers a suite of enterprise-grade technology products and services to power their e-commerce experiences, fulfill orders, digitize brick-and-mortar stores, provide advertising services, and glean insights. With Instacart Ads, thousands of CPG brands – from category leaders to emerging brands – partner with the company to connect directly with consumers online, right at the point of purchase. With Instacart Health, the company is providing tools to increase nutrition security, make healthy choices easier for consumers, and expand the role that food can play in improving health outcomes. For more information, visit www.instacart.com/company. ","We're transforming the grocery industryAt Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.OverviewAbout the Role:As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart's ads systems. You will use machine learning to devise and refine solutions in crucial areas such as ads selection, ranking, auction, and pricing across all of Instacart’s consumer facing pages like Search, storefront, aisle, pre and post checkout experiences, among many others. You will actively contribute to initiatives, assisting in all stages from the initial concept, through prototyping and experimentation, to final implementation.About The TeamThe Ads Response Prediction team owns all systems, algorithms and ML models to ensure a relevant and engaging Ads experience to customers of all the platforms powered by Instacart. This includes search and exploration retrieval systems, sequential modeling and generative retrieval systems for next interaction recommendations, LLM integrations, relevance models, pCTR models, bidding models and incrementality models. The team optimizes for an efficient marketplace to ensure customers see ads that help them try new products/brands, advertisers boost their product sales for a good return on investment, and instacart generates the deserving revenue as well.About The JobDesign, develop, and deploy machine learning solutions including data pipelines, model architectures and serving integrations to tackle practical challenges in the ads organization.Collaborate closely with product managers, data scientists, and infrastructure engineers to deeply understand business needs and create impactful ML applications.Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.About YouMinimum Qualifications:Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, recommendation systems or equivalent self study and experienceHave strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and Machine Learning (scikit-learn, XGBoost) and Deep Learning (Torch, Keras/Tensorflow) tools. Acquaintance or willing to learn GoLang.Have strong analytical skills and problem-solving abilityAre a strong communicator who can collaborate with diverse stakeholders across all levelsPreferred QualificationsHave 1-2 years of industry experience using machine learning to solve real-world problems with large datasetsKnowledge of sequential modeling, Transformer architecture and generative retrievalFamiliarity with LLM integrations, prompt engineering and productivity toolingExperience in building large scale online recommendation systemsInstacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.For US based candidates, the base pay ranges for a successful candidate are listed below.CA, NY, CT, NJ$179,000—$199,000 USDWA$172,000—$191,000 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$165,000—$183,000 USDAll other states$149,000—$165,000 USD",Entry level,Machine Learning Engineer II - Ads Response Prediction
+288,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Level 5"
+289,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+290,2025-03-23,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team IntroductionOur team is pioneering the future of large language model-based applications with a focus on developing long-term memory capabilities and delivering personalized chat, search, and recommendation experiences. We're leveraging our deep expertise in artificial intelligence to create advanced AI algorithms that can understand, learn, and predict, dramatically enhancing user interactions. Our mission is to revolutionize how we engage with machines, making them more intuitive and human-like than ever. With a relentless commitment to excellence and a profound understanding of AI, we are setting new standards and pushing the boundaries of what language model-based applications can achieve.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.Responsibilities Responsible for the design and implementation of a global-scale machine learning system for chat bot, feeds, ads and search ranking models Responsible for leveraging large language models in applications, and improving them via techniques like SFT and RLHF Responsible for improving the workflow of model training and serving, data pipelines and resource management Responsible for connecting cutting edge academic research with user-facing next generation productsQualificationsMinimum Qualifications Currently pursuing a BS/MS in Software Development, Computer Science, Computer Engineering, or a related technical discipline Proficient in C/C++/Python/Golang, and have exceptional programming skills (expert with algorithms and data structures). Familiarity with deep learning frameworks like TensorFlow/PyTorch Exceptional problem-solving skills with the ability to think critically and creatively Knowledge, passion, curiosity, and exposure to areas in Machine Learning / Artificial intelligence Experience, research, internship, or coursework related in Large Language Models or related fields Ability to work independently and complete projects from beginning to end and in a timely manner Strong teamwork and communication skills. Any hands-on experience or group projects in relevant technical scenarios will be a plus!Preferred Qualifications Experience in big data frameworks (e.g., K8s/Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems, experience in building solutions with AWS, GCP, Azures, OCI, AliCloud or other cloud services Strong background in one of the following fields: High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for SystemsTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $116000 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (Large Language Models & Generative AI-US) - 2025 Start (BS/MS)
+291,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+292,2025-04-03,Palo Alto,CA,HP,http://www.hp.com,"We believe growth and fulfillment through technology is the Future of Work. Our vision is to deliver intelligent solutions that enable growth and more fulfilling work experiences wherever work gets done.
+
+Our technology – a product and service portfolio of personal systems, printers, and 3D printing solutions – was created to inspire our vision and we are doing everything in our power across climate action, human rights, and digital equity to make it so.
+
+We believe thoughtful ideas can come from anyone, anywhere, at any time. And all it takes is one to change the world.
+","Location: HoustonSPONSORSHIP: This opportunity is intended for conversion to a full-time role that will not offer work authorization sponsorship in the future (full-time conversion pending performance evaluation post internship and available headcount). Interested candidates must be currently eligible to work in the US AND must not require work authorization sponsorship in the future. HP, Inc. will not provide any assistance or sign documentation in support of immigration sponsorship including Curricular Practical Training (CPT) or Optional Practical Training (OPT).Candidates who identify with a group that is historically underrepresented in the technology sector including by not limited to, African American, Latino, Native American, individuals with disabilities and Veterans are encouraged to apply.About UsInnovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe.HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze.The ProgramOur future success depends on the innovation and fresh ideas students bring to HP, inc. We are hiring students with a diverse set of skills and experiences to join us, across the different organizations that make us HP, inc. Our intern program is intended to enhance your overall learning experience, give you an opportunity to make an impact, have some fun, and meet great people along the way.Join us for a 12-week paid summer internship designed to let you apply your classroom learnings to real world challenges. Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun!Job ResponsibilitiesCollaborate with a dynamic team to design, develop, and implement data-driven strategies and solutions for various business challenges.Assist in the analysis of large datasets to identify trends, patterns, and actionable insights to guide decision-making processes.Work with machine learning models and algorithms to enhance predictive analytics and automate data processes.Help optimize data workflows, ensuring scalability and efficiency across multiple systems and platforms.Conduct data cleaning, data wrangling, and preprocessing to prepare datasets for analysis and modeling.Assist in visualizing data insights through reports, dashboards, and presentations to communicate findings to stakeholders.Support the development and improvement of data infrastructure and pipelines, ensuring they are robust and well-maintained.Education And Experience Required (Objective Minimum Qualifications)Currently enrolled in a Master’s program and expected to graduate in December 2025.Proficiency in programming languages such as Python or R for data analysis and machine learning.Preferred MajorsData ScienceComputer ScienceArtificial IntelligencePreferred Knowledge And Skills (Preferred Qualifications)Experience with machine learning frameworks and libraries (e.g., Keras, PyTorch).Familiarity with big data tools and technologies (e.g., Hadoop, Spark).Knowledge of data visualization tools (e.g., Tableau, Power BI).Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).Understanding of statistical analysis and hypothesis testing methods.Passion for staying up-to-date with emerging trends in data science and machine learning.We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today— we are eager to learn more about you.HP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225The pay range for this position is $35-38 per hour (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.BenefitsHP offers a comprehensive benefits package for US Interns working at least 20 hours weekly, including:Health insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including;4-12 weeks fully paid parental leave based on tenure13 paid holidays15 days paid time off (US benefits overview)Available hours are pro-rated based on hire date and scheduled hoursThe compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.Explore HP",Internship,Data Scientist Intern
+293,2025-03-25,San Francisco,CA,Lyft,https://www.lyft.com/,"Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.","At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.With over half a billion rides and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Trust & Safety, Growth and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building next-generation platform for low-cost, ultra-immersive transportation to improve people’s lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.If you are a critical thinker with experience in machine learning workflows, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.As a machine learning engineer, you will be developing and launching the algorithms that power the platform’s core services and impactful products. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, economics, forecasting, mapping, safety, personalization, and adaptive control. We are hiring motivated experts in each of these fields. We’re looking for someone who is passionate about solving problems with data, building reliable ML systems, and is excited about working in a fast-paced, innovative, and collegial environment.Responsibilities:Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impactPerform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problemsDevelop statistical, machine learning, or optimization modelsWrite production quality code to launch machine learning models at scaleEvaluate machine learning systems against business goalExperience:B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience5+ years of Machine Learning experiencePassion for building impactful machine learning models leveraging expertise in one or multiple fields.Proficiency in Python, Golang, or other programming languageExcellent communication skills and fluency in EnglishStrong understanding of Machine Learning methodologies, including supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed banditsBenefits:Great medical, dental, and vision insurance options with additional programs available when enrolledMental health benefitsFamily building benefitsChild care and pet benefits401(k) plan to help save for your futureIn addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligibleSubsidized commuter benefitsLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership ProgramLyft is an equal opportunity employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #HybridThe expected base pay range for this position in the San Francisco area is $162,8000 - $203,500. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.",Mid-Senior level,"Senior Machine Learning Engineer, Recommendations"
+294,2025-03-20,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Machine Learning Engineer - RAGThis role involves building the next-gen Retrieval-Augmented Generation (RAG) by demonstrating sophisticated generative AI services, pipelines, and components to drive the development and delivery of Agentforce. You will work on and ship impactful generative AI platforms, applications, and products used by millions of people every day.The RoleYou will play a critical role in integrating artificial intelligence and generative AI into sophisticated RAG technologies, enterprise Knowledge Graphs, and the latest LLM algorithms and technologies to build the next wave of intelligent agents. You will participate in the end-to-end AI product development lifecycle, designing and developing scalable deep learning and generative AI systems and services. You will collaborate with AI Platform Engineers and Software Engineers to define requirements and develop reusable workflows and ML pipelines.What You’ll Do: Design and deliver scalable RAG services that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production. Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring, and root cause analysis. Participate in periodic on-call rotations and be available to resolve critical issues. Collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production. Engage in fun-spirited yet thought-provoking conversations with your team around fun topics, such as: Should the popularity of penguins influence conservation efforts? Is creativity more like a neural network or a heuristic algorithm? How would society evolve if humans communicated through colors as well as words? Brainstorm with Product Managers, Designers, and Engineers to conceptualize and build new features for our large (and growing!) user base. Produce high-quality results by leading or collaborating heavily to large multi-functional projects that have a significant impact on the business. Help other engineers actively own features or systems and define their long-term health, while also improving the health of surrounding systems. Assist our skilled support team and operations team in triaging and resolving production issues. Mentor other engineers and deeply review code. Improve engineering standards, tooling, and processes.Required Skills: 10+ years of proven experience in ML engineering, building AI systems and/or services. Strong proficiency in NLP and machine learning models. Experience with LLMs and prompt engineering. Proven experience building and applying machine learning models to business applications. Proven track record to innovate and deliver results at scale. Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks, such as Kafka, Spark, Docker, and Hadoop. Proven understanding of deep learning and machine learning algorithms. Grit, drive, and a strong sense of ownership, coupled with teamwork and leadership skills. Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala, or Java. Built with common ML frameworks like PyTorch, TensorFlow, Keras, XGBoost, or Scikit-learn. Experience building batch data processing pipelines with tools like Apache Spark, SQL, Hadoop, EMR, MapReduce, Airflow, Dagster, or Luigi. An analytical and data-driven approach, and know how to measure success with complicated ML/AI products. Led technical architecture discussions and helped drive technical decisions within the team. The ability to write understandable, testable code with an eye towards maintainability. Strong communication skills and you are capable of explaining sophisticated technical concepts to designers, support, and other specialists. Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval. A bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or you have equivalent training, fellowship, or work experience.Preferred Skills: Expertise in retrieval systems and search algorithms. Familiarity with vector databases and embeddings. Strong background in a wide range of ML approaches, from Artificial Neural Networks to Bayesian methods. Experience with conversational AI. Excellent problem-solving skills; the ability to take on problems the world has yet to solve. Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams. Knowledge of using multiple data types in RAG solutions including structured, unstructured, and graph.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at  www.equality.com  and explore our company benefits at  www.salesforcebenefits.com . Salesforce  is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce  does not accept unsolicited headhunter and agency resumes. Salesforce  will not pay any third-party agency or company that does not have a signed agreement with Salesforce .Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $172,000 to $384,100.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Machine Learning Engineer, RAG"
+295,2025-04-01,Worldwide,,Deloitte,http://www.deloitte.com/,"Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. 
+
+Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.
+
+The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.","Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.Work You'll Do/ResponsibilitiesWork with data science techniques and libraries to show data's applicability to the clients' business problems.Perform exploratory data analysis to define analytical models.Develop advanced quantitative models using Python, PySpark, and associated libraries to support predictive assessments.Explain analytics model behavior/results in business-friendly language.Build, test, validate, and demonstrate analytical models through various relevant error metrics and calibration techniques.Apply algorithms that require multiple models/methods to be used in an ensemble.Utilize SQL to query, manipulate and extract data to drive business insightsDeploy models into production with Airflow.Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operationalThe Team As a part of the US Strategy & Analytics Offering Portfolio, the AI & Data offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.QualificationsRequired5+ Years experience as a Data Scientist5+ Years experience conducting Time-Series Analysis and Anomaly Detection5+ Years experience using the following tools: SQL, Tableau, and PythonBachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experienceLimited immigration sponsorship may be availableMust be able to sit onsite in Cupertino, CAAbility to travel 10%, on average, based on the work you do and the clients and industries/sectors you servePreferredA background in marketing analytics, market research, or sales analyticsAnalytical/ Decision Making ResponsibilitiesAnalytical ability to manage multiple projects and prioritize tasks into manageable work productsCan operate independently or with minimum supervisionExcellent Written and Communication SkillsAbility to deliver technical demonstrationsFor individuals assigned and/or hired to work in California, Colorado, Hawaii, Jersey City, Nevada, New York state, and Washington State, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California, Colorado, Hawaii, Jersey City, Nevada, New York state, and Washington state and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $109,000 to $170,000.Additional RequirementsInformation for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html",Not Applicable,Data Scientist
+296,2025-04-02,New Brunswick,NJ,Johnson & Johnson,http://www.jnj.com,"At Johnson & Johnson, we believe health is everything. As a focused healthcare company, with expertise in Innovative Medicine and MedTech, we’re empowered to tackle the world’s toughest health challenges, innovate through science and technology, and transform patient care.  ​
+
+All of this is possible because of our people. We’re passionate innovators who put people first, and through our purpose-driven culture and talented workforce, we are stronger than ever. ​
+
+Learn more at https://www.jnj.com. Community Guidelines: http://www.jnj.com/social-media-community-guidelines","At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.comJob FunctionData Analytics & Computational SciencesJob Sub FunctionData ScienceJob CategoryScientific/TechnologyAll Job Posting Locations:Beerse, Antwerp, Belgium, Spring House, Pennsylvania, United States of America, Toledo, SpainJob DescriptionAI/ML Senior Scientist in Drug Discovery Data SciencesNext Generation Automation refers to the bidirectional coupling between automated lab equipment and Artificial Intelligence (AI). Through successive iterations, such closed-feedback loop systems facilitate the AI-driven design, execution and analysis of experiments and utilize a wealth of in silico methodologies including active learning, multi-parametric dynamic optimization, model predictive control, Model-based Design of Experiments, and others.Within the Drug Discovery Data Sciences organization of Johnson & Johnson Innovative Medicine we have an open position for a senior scientist that will play a pivotal role in our strategic effort to transition automation into the next generation. To do so, the new member will collaborate within interdisciplinary teams comprising biologists, medicinal chemists, data scientists, computational chemists and IT experts across all therapeutic areas. They are expected to utilize their expertise and know-how to bridge the gap and close the loop between existing automation and in silico solutions and develop new modeling suites according to the needs of each project.Role And ResponsibilitiesCo-develop system engineering plans for closed loop automation projects from PoC to production. Develop and productionize the in silico suites by using AI/ML and other appropriate modelling methodologies. Actively participate in evaluation of third-party solutions. Work closely with IT, engineering and Lab-tech to implement solutions. Communicate results in audiences with heterogeneous background. RequirementsA PhD with an AI/ML publication track record. Previous experience with Process or Lab Automation. Familiarity with Model Predictive Control and DOEs or similar mathematical capabilities. Knowledge of Python development and affinity with AWS (or similar cloud environments). Strong interpersonal, organizational and communication skills. Motivation to be part of a team that celebrates diversity and offers an inclusive working environment where creativity and innovation can thrive.",Not Applicable,"Data Scientist, AI/ML Drug Discovery"
+297,2025-04-04,Ann Arbor,Michigan,Voxel51,https://voxel51.com,"Build better visual AI faster with FiftyOne by Voxel51. We empower AI builders to understand and improve visual datasets and evaluate their models, leading to more accurate results and streamlined workflows. Unlock the power of your visual data.","First and most importantly: our mission is to bring transparency and clarity to the world's data.Our platform, FiftyOne, is where AI work happens. Our enterprise platform is the mission critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies, including dozens from the Fortune 500.We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 3 million downloads to-date.Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture, we are at the thrilling center of real-world AI advancement’s next wave.And we’re built on three key tenets:We are all human beings: we strive to be a “human-first” organization and treat everyone with the respect, care, and flexibility that all people deserve. We are distributed: we believe in getting autonomy and power into the hands of people actually doing the work.We believe in the power of community.Our fully distributed team is located across North America today.About your roleAs a Machine Learning Engineer here at Voxel51, you’ll collaborate with a team that delivers innovative features to support dataset curation, model analysis, and integrations that span the entire machine learning lifecycle, with a current emphasis on Visual AI. You’ll build powerful and extensible methods that users interact with via both API and no-code workflows, and you’ll solve unique challenges that arise when working with unstructured data (images,video, point-clouds, and meshes). Additionally, you will have the opportunity to contribute to a thriving open source community while also emphasizing enterprise-grade engineering for our commercial products.Every member of our fully-remote team is empowered to own their work and play an active role in advancing our mission to democratize data-centric ML.What you will doPush the boundaries of open-source data-centric AI with an emphasis on innovating new capabilities for our users to effectively work with unstructured datasets and building state of the models.Scale data-centric AI approaches for the world’s largest enterprises to world scale, with billions of samples across continually learning models.Work with UX designers and core software engineers to bring these state-of-the-art AI capabilities to life in production software ecosystems.Play an active role in the discussion to inform company technical strategy as we build the software refinery that brings transparency and clarity to the world’s data.What you should bring3+ years of professional software engineering experience developing ML products and software systemsBS or MS in computer science or a related fieldExpertise with Python and a passion for elegant softwareExpertise with machine learning and scientific computing libraries (PyTorch, NumPy)Familiarity with NoSQL databases (MongoDB, DocumentDB, Elasticsearch)Experience maintaining or contributing to open source projects (or the passion to start!)Ability to work in a remote-first, cooperative environment using collaborative development tools (GitHub, Slack)Initiative and radical candor to constructively collaborate with your new teammates and our large user-baseThe cash compensation for this person is in the $180K - $240K range (we know this is broad - it depends on the individual's experience and skillset). In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.",Mid-Senior level,Machine Learning Engineer
+298,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
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+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+299,2025-02-19,Munich,Bavaria,XPENG Deutschland,https://www.xpeng.com/de,"XPENG is a leading electric vehicle company headquartered in Guangzhou, China with offices in the US and Europe. The company is committed to driving the transformation of smart EVs through technology and shaping the mobility experience of the future. To optimize the mobility experience of its customers, XPENG develops in-house comprehensive technology for advanced driver assistance systems and in-vehicle intelligent operation system, as well as the core systems of the vehicle, including the powertrain and electric/electronic architecture.","XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.Job ResponsibilitiesFine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc. Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars. Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production. Work on efficient and effective ways to leverage large scale dataset and computational resource. Explore novel ways to generate synthetic data to improve the data diversity & quality. Communicate and align with different teams on product needs across the company Minimum Skill RequirementsPh.D in Computer Science or related fields. Solid background in machine learning, natural language processing (NLP), computer vision,speech or data.Experience in working with LLMs Strong python programming skills & software development, and strong experience with anymajor deep learning framework. Open-minded, collaborative and excellent communication skillsPreferred Skill RequirementsDeep understanding of language model modern architectures, ‘under the hood’ LLM training knowledge, quantization techniques, etc. Familiarity of large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc. Record of publications, innovations or leadership. What Do We ProvideA fun, supportive and engaging environment Opportunity to make significant impact on transportation revolution by the means ofadvancing autonomous drivingOpportunity to work on cutting edge technologies with the top talent in the field Competitive compensation package Snacks, lunches, and fun activities The base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.",Mid-Senior level,"Machine Learning Engineer - LLM, AI & Robotics"
+300,2025-03-21,San Francisco,California,Notion,https://notion.com,"Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes? With Notion, they're all in one place, and totally customizable to meet the needs of any workflow. It's the all-in-one workspace for you, your team, and your whole company. 
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+We humans are toolmakers by nature, but most of us can't build or modify the software we use every day — arguably our most powerful tool. Our team at Notion is on a mission to make it possible for everyone to shape the tools that shape their lives.","About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.About The RoleYou’ll join a team of talented engineers who will design and own foundational data capabilities that are key to the company’s business and product. Notion’s data platform and infrastructure are vital to both empowering every team at Notion to make decisions using data and experimentation, and enabling our product features, like search, user notifications, workspace analytics and Notion AI. We are hiring engineers across multiple levels.What You'll AchieveYou'll work cross-functionally with partners from the Data Science, Data Engineering, AI, Product, Go-to-Market, Legal and Finance organizations to deliver short- and long-term impactYou’ll help in influencing / executing the roadmap for data infrastructure and systems to power high volume product features using Notion’s data.You'll play a pivotal role in the development of tools and infrastructure that democratize data access and enable analytics capabilities across the organizationYou'll determine the best ways to handle Notion's unique data model and usage patterns to derive insights and bring intelligence to product features like search and discovery.Skills You'll Need To BringYou have experience with big data ingestion, compute, and storage systems based on Spark, Kafka, Flink, and data lake and data warehouse technologies.You have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house).You've experienced the challenges of scaling and re-architecting data platforms and infrastructure through orders of magnitude of growth and scaling data volume.Nice To HavesYou've built out data infrastructure from, or nearly from, scratch at a fast-growing startup.You've led a Data Platform / Infrastructure / Data Engineering Team.You have experience building MLOps and ML serving infrastructure.Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $220,000 - $298,000 per year.By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.",Not Applicable,"Software Engineer, Data Platform"
+301,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.We are the Ads Core Team from TikTok Global Monetization Technology. Our core mission is to generate revenue and optimize the user experience on the world's leading short-form video platform.Within the global monetization and advertising landscape, we are responsible for accelerating TikTok revenue growth through advanced machine learning technology and delivering optimal user experience solutions.You will be part of a team that's optimizing ads format and ranking strategies, and you will be responsible for bringing a better return on investment for advertisers.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities: Research and develop a global advanced advertising delivery system through frontier technologies, including ML/DL, RL, LLM and also scaling law in ads recommendation. Optimize efficiency across the entire advertising funnel, including Recall&Rough-sort, Fine-sort(ctr/cvr), format/creative personalization and system resource allocation. Design and set up system framework and standard to continuously improve overall modeling efficiency. Build the delivery pipeline, including modeling, bidding, traffic strategy, optimizing organic video recommendation systems, adapting to a variety of vertical business needs. Influence overall user experience and revenue targets, positioning us as a core component of the entire organization.QualificationsMinimum Qualifications: Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. Good theoretical grounding in machine learning/deep learning/algorithm concepts and techniques. Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet), familiar with its architecture and implementation mechanism. Good analytical thinking capability.Preferred Qualifications: Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative)TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Ads Core Global) - 2025 Start (BS/MS)
+302,2025-04-02,Suwon-Si,Gyeonggi-Do,Samsung Electronics,http://www.samsung.com,"Samsung Electronics is a global leader in technology, opening new possibilities for people everywhere. Through relentless innovation and discovery, we are transforming the worlds of TVs, smartphones, wearable devices, tablets, digital appliances, network systems, medical devices, semiconductors and LED solutions. Samsung is also leading in the Internet of Things space through, among others, our Smart Home and Digital Health initiatives. 
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+Since being established in 1969, Samsung Electronics has grown into one of the world’s leading technology companies, and become recognized as one of the top 10 global brands. Our network now extends across the world, and Samsung takes great pride in the creativity and diversity of its talented people, who drive our growth.  To discover more, please visit our website at www.samsung.com and our official newsroom at news.samsung.com","Senior Machine Learning Model Engineer – Samsung AdsPosition SummarySamsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe.We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team.ResponsibilitiesLead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market.Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.Mentor junior engineers and provide technical guidance.Learn quickly and adapt to a fast-paced working environment.Experience Requirements:Master’s or PhD degree in Computer Science or related fields.4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.Solid theoretical background in machine learning and/or data mining.Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).Hands-on experience with production-grade machine learning solutions.Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).Extensive programming experience in Python, Go or other OOP languages.Familiarity with data structures, algorithms and software engineering principles.Proficiency in SQL and databases.Strong communication and interpersonal skills to drive cross-functional partnerships.Preferred Experience Requirements:Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).Basic knowledge about Amazon Web Services (AWS).Experience with the advertising industry and real-time bidding (RTB) ecosystem.CALIFORNIA ONLYSalary Range Pay Transparency: Compensation for this role, for candidates based in Mountain View, CA is expected to be between $190,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.",Mid-Senior level,Senior Machine Learning Model Engineer
+303,2025-03-31,Fort Worth,Texas,Koddi,http://www.koddi.com,"Koddi is the leading commerce media technology for enterprises. Leveraging AI and first-party data, Koddi builds retail and commerce media networks for the biggest companies in the world. With more than a decade of experience and powering billions of media spend, the company is leading the fast-growing rise of commerce media. We offer the industry’s most flexible, interoperable, and full-funnel approach. We partner to provide self-serve buying and reporting for display, native, video, sponsored products, offsite, and on premise – all in one place. 
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+Whether you’re a franchise looking to launch tailored multi-channel marketing, an enterprise brand looking to leverage precise marketing management, or a commerce media network looking to maximize your on-site, off-site, and in-store opportunity, Koddi has a solution for you. Koddi works with retail, auto, travel, real estate, home services, quick serve restaurants, financial services, and more. Our technology is designed to grow and change with you, ensuring your business thrives no matter your industry or objectives. For more information, please visit koddi.com.
+","Koddi builds advertising marketplaces where publishers can monetize their inventory and advertisers can achieve their performance marketing objectives while prioritizing the customer experience.We’re seeking a highly skilled Machine Learning Engineer to join our Data Science team. Come play a pivotal role in developing and deploying innovative models at scale.This role requires prior experience deploying complex models in high throughput, low-latency situations. Other elements for success in this role are a strong foundation in ML algorithms, a passion for delivering measurable results, and the ability to thrive in a fast paced environment.What You Will DoWork closely with data scientists, software engineers, and business stakeholders to understand company goals and objectives. Translate that understanding into machine learning solutions that address business challenges and opportunities.Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.Deploy machine learning models into production environments, collaborating with software engineering teams to ensure scalability, reliability, and maintainability.Monitor model performance and behavior in production, proactively identifying and addressing issues to maintain optimal performance and accuracy.Stay current with advances in machine learning research and technologies, exploring new approaches and methodologies to enhance model capabilities and effectiveness.Document methodologies, processes, and findings, sharing insights and best practices with the broader team to foster knowledge sharing and collaboration.What Skills And Experience You BringBachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's or Ph.D. degree preferred.Minimum of 3 years of experience in machine learning engineering or related roles, with a strong track record of developing and deploying machine learning models in production environments. Knowledge developing and debugging in Python, GoLang, Perl. Familiarity with ML development and deployment tools and platforms such as Databricks, MLFlow, Kubeflow Pipelines, Airflow, TensorRT or similar.Experience with data preprocessing, feature engineering, and model evaluation techniques.Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes).Strong understanding of software engineering principles, including version control, testing, and deployment pipelines.Excellent problem-solving skills and attention to detail, with the ability to analyze complex datasets and derive actionable insights.Effective communication and collaboration skills, with the ability to work across teams and communicate technical concepts to non-technical stakeholders.Experience in Agile/Scrum methodologies and working in interdisciplinary teams is a plus.Preferred: Experience implementing complete model lifecycle from inception to deployment to automated retraining for a complex model such as Contextual Bandit, Deep Neural Network, or similar. About KoddiKoddi is a global technology company with software and services that help top digital marketplaces effectively monetize their first-party audiences through industry-leading commerce media technology and strategy. Our enterprise platforms leverage first-party data to drive marketplace revenue and profit by improving user experience and target shoppers throughout the purchase path. Koddi’s platforms enable any advertiser, any marketplace, in any industry to increase awareness, generate demand, and drive revenue.We are committed to driving innovation and growth in the commerce media space. As part of that commitment, we’ve launched Koddi Academy—a learning platform designed to provide expert knowledge, competitive insights, and practical strategies for thriving in this fast-growing industry. Explore our latest certification course, Commerce Media Foundations, to deepen your expertise and stay ahead in the evolving world of commerce media. You can also sign up for our waiting list to be notified when new courses are released. Get started today at  Koddi Academy.",Mid-Senior level,Machine Learning Engineer
+304,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+305,2025-03-28,The Cloud,,Snowflake,http://www.snowflake.com,"Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.","Build the future of the AI Data Cloud. Join the Snowflake team.The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their ML/AI workload to Snowflake. Our customers want to leverage ML/AI to extract business values from ever increasing data in Snowflake but face several challenges including infrastructure management, scaling, orchestration, performance and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure and scalable to enable end to end ML workflows. We are on an early journey to build the best machine learning and data platform for Snowflake customers without sacrificing the benefits of a single platform and governance.We are looking for a driven engineer who will play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state of the art ML/AI workloads. Join us to design and execute, engage and deliver innovation and unlock the power of AI for thousands of enterprise customers.YOU WILL:Design easy-to-use & intuitive APIs & systems for ML experts and non-experts to accelerate the E2E ML development and production lifecycleDesign and optimize systems to scale up and out ML data and trainingCollaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the customers’ business objectives.Be a strong contributor to the product vision and team planning.Build operational and release rigor with every feature/bug fix deployments.QUALIFICATIONS:Have 2+ years of industry experience designing, building, and supporting machine learning platforms, machine learning services & frameworks or data intensive systems.Working experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow.Fluent in Python. C++, Java, Go experience is a plus.Familiarity with Kubernetes (K8s) for container orchestration and scaling, plus experience setting up and maintaining CI/CD pipelines (e.g., Jenkins, GitLab, GitHub Actions), is a plus.A growth mindset and excitement about breaking the status quo by seeking innovative solutions.BS in Computer Science or related degree; Masters or PhD Preferred.Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.comThe following represents the expected range of compensation for this role: The estimated base salary range for this role is $157,000 - $230,000.Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.",Entry level,Software Engineer - Machine Learning Platform
+306,2025-03-27,Broomfield,Colorado,DigitalOcean,https://www.digitalocean.com,"DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean helps developers at startups and growing digital businesses rapidly build, deploy and scale, whether creating a digital presence or building digital products. DigitalOcean combines the power of simplicity, security, community and customer support so customers can spend less time managing their infrastructure and more time building innovative applications that drive business growth.","We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems.Key ResponsibilitiesDevelop, test, and implement predictive models and machine learning algorithms to solve business challenges.Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools.Design and execute experiments (A/B testing, causal inference, etc.) to measure the impact of business initiatives.Collaborate with stakeholders to translate business questions into data science problems and communicate findings effectively.Build and maintain data pipelines and ETL processes to ensure data quality and availability.Present data-driven recommendations to executives and cross-functional teams in a clear and actionable manner.Stay updated on the latest advancements in data science, machine learning, and AI.QualificationsMaster’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.3+ years of experience in data science, analytics, or a similar role.Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.Solid experience with SQL for querying and managing structured data.Knowledge of machine learning, statistical modeling, and optimization techniques.Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.Ability to communicate complex findings to non-technical stakeholders in a clear, concise manner.Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).Familiarity with business intelligence, marketing analytics, or financial forecasting is a plus.Preferred SkillsExperience in causal inference, econometrics, or Bayesian methods.Hands-on experience with ML Ops, model deployment, or data engineering workflows.Understanding of business metrics, growth strategies, and financial modeling.Ability to work in a fast-paced, cross-functional environment.Why You’ll Like Working for DigitalOceanWe innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.We reward our employees. The salary range for this position is $181,500 - $214,500 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.This is a remote role",Entry level,Data Scientist
+307,2025-01-16,Los Angeles,CA,Keeling Labs,https://www.keelinglabs.com,"Founded in 2022, Keeling Labs was started as a place to develop and apply machine learning to solve the world's biggest problem—climate change. Our current priority is getting the grid to run on 100% clean energy, which is currently limited by battery storage (specifically, the algorithms that control them).
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+We're redefining these algorithms to unlock gigawatts of untapped energy storage capacity, enabling the grid to run on more clean energy from wind and solar.
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+Learn more about our work on our website: www.keelinglabs.com","Our MissionFounded in 2022, Keeling Labs was started as a place to develop and apply machine learning to solve the world's biggest problem—climate change. Our current priority is getting the grid to run on 100% clean energy, which is currently limited by battery storage (specifically, the algorithms that control them).We're redefining these algorithms to unlock gigawatts of untapped energy storage capacity, enabling the grid to run on more clean energy from wind and solar. You can learn more about us here:Our WorkCompanyWriting Code for a Cleaner GridProgress and TractionSince 2022, we:Went through Y Combinator (W23 batch)Built our first ML model for energy trading, which is a proving ground for our battery optimization problem (learn more here)Achieved regulatory certification as a grid participant in California (CAISO) in fall of 2023Raised a $3M seed round to bring that model to a real electricity marketExpanded the teamSuccessfully deployed our model to trade energy in California in 2024We're live in the grid, earning revenue with our machine learning model, and gearing up for growth.What's Next In 2025With our core tech validated in a real market, we're now laser focused on two things:Scaling our ML-based energy trading to more grid markets in the U.S. (we're in 1 of 7 ISOs)Building our larger, more complex model to operate giant physical batteries in the grid (learn more here)To do this, we're looking to expand the team and bring on ambitious, mission-driven engineers that want to make a serious difference in the climate change problem with their work. The code you write at Keeling Labs will directly impact emissions, control physical infrastructure, and help scale climate solution.About the Role:We're hiring for an ambitious, experienced machine learning engineer to help us scale our technology and impact in the grid. We're looking for someone with experience developing and deploying real-world ML in production applications—ideally in energy, automative, aerospace, self-driving, or other physical applications.Overall, you'll be a Swiss Army Knife across the entire ML stack at Keeling Labs.What You’ll Be Responsible For:Solve challenging problems to bridge ML theory and real-world applicationBuild efficient simulation environments for reinforcement learning (RL) modelsOptimize training & inference runtime, performance, and costWork with our researchers to implement new ideas to improve our ML modelsDevelop profiling and monitoring tools to oversee production performanceRequirements:3+ years experience applying ML to physical, real-world applications in a production environmentStrong coding background (Python/PySpark/Terraform/JAX or other ML frameworks)Experience building training architectures on cloud / strong overall cloud background (AWS)Strong problem-solving abilities in the ML spaceB.S., MSc, or PhD in engineering, physics, or computer science (or equivalent industry experience)Mission-driven, collaborative attitudeBenefits:We offer full health, dental, and vision insurance to all employees, along with unlimited PTO.Compensation Range: $130K - $165K",Entry level,Machine Learning Engineer
+308,2025-03-22,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for candidates who brave difficulties, share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Key Responsibilities Participate in the development of a large-scale Ads system Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc Participate in the development and iteration of Ads algorithms by using Machine Learning. Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering Research and develop Ads pacing algorithms, ads traffic control, etc Partner with product managers and product strategy & operation team to define product strategy and featuresQualificationsMinimum Qualifications Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environmentPreferred Qualifications Experience in and a good understanding of one of the following domains: Search, Ads, Recommendation, Monetization Products, Shopping Products.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Search Ads) - 2025 Start (BS/MS)
+309,2025-04-04,Dallas,Texas,Verily,http://www.verily.com,"Verily is an Alphabet company combining a data-driven, people-first approach to bring the promise of precision health to everyone, every day. We are focused on generating and applying evidence from a wide variety of sources to change the way people manage their health and the way healthcare is delivered - shifting the paradigm from “one size fits all” medicine to one focused on a more comprehensive view of the individual that leads to a more personalized path forward. For more information, please visit verily.com.
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+Verily is hiring! Check out what's available globally at verily.com/careers.","Who We AreVerily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.DescriptionThe Verily precision health platform is the comprehensive and patient-centered engine that accelerates the evidence generation needed for safer, more effective treatments and care decisions, helping people live longer, healthier lives. Our cloud-first approach, advanced analytics and AI expertise enable us to collect, organize, enrich and activate petabytes of data aligned with our customers' unique needs and delivered at just the right time. As a member of the Precision Health Platform engineering organization, you will build modular, composable, and interoperable platform components including development and maintenance of software for ML applications (data science, computer vision and LLMs).Our team is responsible for integrating and combining data from a variety of sources (e.g. EHR, ePROs, Digital Biomarkers, devices), building ML pipelines in order to provide curated data sets with ML insights that can contribute to clinical and research goals. In addition to research we are building AI tools for our care products to improve patient experience. Be at the forefront of innovation and tackle exciting challenges within a collaborative and dynamic work environment.ResponsibilitiesDesign, and develop high-quality AI/ML software solutions to meet project requirements, ensuring scalability and performance.Collaborate with cross-functional teams and technical leads to define and refine technical specifications, taking ownership of design oversight, scoping and project deliverables.Maintain a growth mindset and stay informed about the latest trends and advancements in AI/ML and software engineering to contribute to a culture of continuous learning and growth.Participate in code reviews to maintain code quality and uphold best practices, promoting a culture of excellence.Investigate, troubleshoot, and resolve complex technical issues to ensure the reliability and stability of our systems.QualificationsMinimum QualificationsBachelor's degree in Computer Science or a related field.1+ years of experience in SW, cloud engineering or ML engineering with a BS degree.Proficiency in at least one major programming language (e.g., Python, Java, Go).Proven track record of delivering high-impact, production-quality software in the cloud.Experience with ML tools and platforms such as notebooks, VertexAI.Preferred QualificationsExperience with CI/CD and Infrastructure tools like Terraform, GitHub.Proficiency in Go or Python.Experience in building model training and deployment environments in the cloud.Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.The US base salary range for this full-time position is $111,000 - $157,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus or benefits.",Entry level,"Software Engineer II, ML Platform"
+310,2025-03-25,Los Angeles,CA,SHEIN Technology LLC,http://www.sheingroup.com,"SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry.","About SHEINSHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry.Position SummaryWe're seeking a full-time Machine Learning Engineer (actual title Machine Learning Engineer I) for our Seattle WA, based corporate office. Shein Technology is looking for a Machine Learning Engineer with a solid engineering background to enhance our fraud capabilities. This role focuses on the practical application of machine learning techniques in developing and optimizing models that protect against fraud, and it prioritizes the protection of sensitive data of US Customers. You are expected to spend most of the time to work on fraud detection by translating ideas into practical solutions.This role is an exciting opportunity to work with global partners, including those in the APAC region, to bring innovative technologies to life. As an international company, Shein values flexibility, and this position requires adaptable working hours to support cross-border collaboration. We seek individuals who thrive in a dynamic environment and embrace the challenges and rewards of international teamwork.Job ResponsibilitiesDevelop and enhance machine learning models to fulfill business goals including fraud prevention, malicious login or identity thefts.Develop key metrics to track online performance and collaborate with cross-functional teams including engineering, business, user experience and product teams to achieve business goals.Improve the machine learning infrastructure and pipeline, data table and deployment processesParticipate in the full development cycle: design, development, deployment, experiment and analysisExplore the applications of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and LLM agents in anti-fraud projects.Job RequirementsA master’s degree or above in Data Science, Computer Science or related fields.Ability to write production-level code for data science or machine learning projects, and experience in delivering related products.1+ years of hands-on experience in data engineering or machine learning.Development and ideally production experience with xgboost, lightGBM, other traditional machine learning models and deep learning models.Experience with SQL and at least one cloud platform (AWS/Azure/GCP).Nice to haveBonus and RSU eligibleExperience in e-commerce companies in fraud / risk control functions.3+ years of industry experience in data engineering or machine learning.Experience collaborating with product, operations and engineering teams.Excellent communication skills and ability to work with stakeholders or end customers.Experience with Hive, Dolphin Scheduler and Kafka.Mandarin proficiency and strong communication skills are strongly preferred for cross-border collaboration.Proficiency in Python (sklearn, pyspark etc.) is required while programming languages such as C++Experience in launching production system from ground up.Benefits And PerksBonus and RSU eligible Healthcare (medical, dental, vision, prescription drugs) Health Savings Account with Employer Funding Flexible Spending Accounts (Healthcare and Dependent care) Company-Paid Basic Life/AD&D insurance Company-Paid Short-Term and Long-Term Disability Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident) Employee Assistance Program Business Travel Accident Insurance 401(k) Savings Plan with discretionary company match and access to a financial advisor Vacation, paid holidays, floating holiday and sick days Employee discounts Free weekly catered lunch Dog-friendly office (available at select locations) Free gym access (available at select locations) Free swag giveaways Annual Holiday Party Invitations to pop-ups and other company events Complimentary daily office snacks and beverages Pay Range: $135,600 USD - $235,300 USD",Not Applicable,Machine Learning Engineer
+311,2025-04-02,Costa Mesa, CA,The Law Offices of Daniel Kim,https://www.usaccidentlawyer.com/,"At The Law Offices of Daniel Kim, we strive to ensure that all motor vehicle accident victims get the compensation they deserve. We are 100% dedicated to assisting our clients in their personal injury cases.
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+Other firms see personal injury law as a quick paycheck. We view it as an opportunity to help rebuild a life. Daniel Kim and his legal team provide personalized, one-on-one legal services. We take the time to truly get to know each client, treating them like part of our family. 
+
+At The Law Offices of Daniel Kim, we fully prepare every case for trial in the event a settlement cannot be reached prior. This preparation empowers us to recover maximum compensation for our clients, and it puts us in a strong position if a trial becomes necessary.
+
+Daniel Kim, alongside his wife, and their multi-lingual team have recovered hundreds of millions in settlements and verdicts on behalf of their clients.
+
+For those who have been injured in either auto, truck, rideshare (Uber/Lyft), bicycle, pedestrian, or motorcycle accidents, our California personal injury law firm is here to fight for you. If you are looking for the #1 rated personal injury attorney, contact our personal injury law firm for a free consultation today. You pay nothing until you win.","Data & Machine Learning Engineer - Costa Mesa, CA (On-Site/Hybrid)Company Overview Law Offices of Daniel Kim is the leading personal injury law firm in Orange County, known for its commitment to excellence and strong track record of success. The firm is dedicated to growing its client base through strategic generation and marketing initiatives, making this role essential for its continued expansion.Role OverviewThe ideal candidate is a detail-oriented and analytical Data & ML Engineer with experience in handling large datasets and deriving meaningful insights. This role focuses on developing predictive models, analyzing business trends, and supporting automation initiatives through advanced data techniques.Compensation$150,000 - $200,000, depending on experienceWhat You’ll DoGather data from diverse sources, cleaning, transforming, and structuring data for machine learning model training.Extract, clean, and analyze data to generate insights that support business strategies.Develop and deploy predictive models to enhance marketing, lead generation, and operational efficiency.Create dashboards and reports that effectively communicate data-driven insights.Identify inefficiencies and recommend data-backed solutions for business growth.Work closely with cross-functional teams to integrate data science solutions into company operations.What We’re Looking ForStrong experience in extracting, cleaning, and analyzing data to generate actionable insights.Proficiency in designing, using, and integrating both relational and columnar databases for data warehousing, business intelligence, and machine learning.Proven ability to develop and deploy predictive models to enhance marketing, lead generation, and operational efficiency.Experience creating impactful dashboards and reports using tools( e.g. Power BI, Looker, Tableau).Ability to identify inefficiencies and recommend data-driven solutions for business growth.Experience working closely with cross-functional teams to integrate data science solutions into operations.Proficiency in Python or R, with experience using data science libraries (e.g., pandas, NumPy, scikit-learn).Nice to HaveExperience with data warehousing systems Snowflake, Redshift), data pipelines (Apache Kafka, Spark), and distributed computing platforms (Hadoop, AWS EMR)Knowledge of advanced statistical methods and machine learning frameworks like TensorFlow or PyTorch.Understanding of ETL processes and data pipeline architectures.Background in marketing analytics, customer segmentation, and lead generation strategies.Proficiency in designing and analyzing experiments to test hypotheses (A/B Testing).Experience in the legal industry or with legal data.Familiarity with scripting and automation to streamline data workflows.BenefitsOpportunities for growth and advancementCompetitive pay, based on experienceFirm-paid Dental and Vision InsuranceFirm-paid Life InsuranceMedical InsuranceFree Parking401kPTOLaw Offices of Daniel Kim is committed to being an equal employment opportunity provider in accordance with all applicable laws and regulations.",Mid-Senior level,Machine Learning Engineer
+312,2025-04-01,,,Reducto,https://reducto.ai,Reducto converts complex documents into structured data for any workflow,"About The RoleAbout UsThe vast majority of enterprise data — from financial statements to health records — are locked in unstructured file formats like PDFs and spreadsheets. Reducto is the most accurate way to parse and extract data from complex documents.Today we power ingestion pipelines for hundreds of leading AI teams, ranging from popular startups to Fortune 10 enterprises. We’ve grown incredibly quickly (0→7 fig in ARR in 6 months), are loved by customers (>300M pages parsed), and are well funded by tier 1 investors.We Would Love To Meet You If YouPhilosophy: You are your own worst critic. You have a high bar for quality and don’t rest until the job is done right—no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them.Experience: You have 2 to 5 years of experience with training, fine tuning, and evaluating ML models used in production systemsLanguage/Skills: You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMsTools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users.The Core Work Will IncludeTraining and deploying new state of the art models for parsing and interpreting unstructured dataExperimenting with novel techniques to improve LLM accuracyBuild data pipelines, evaluate model performance, and integrate models into the productWorking directly with the founders and customers to shape the product direction and engineering strategyBonus Points If YouHave prior experience founding a company or building products at early stagesAre ambitious and driven, and care a lot about doing great work with great peopleKeep up with the latest developments in ML/AIThis is an in person role at our office in SF. We’re an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.About ReductoNearly 80% of enterprise data is in unstructured formats like PDFsPDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to dozens of wasted hours every week.Traditional approaches fail at reliably extracting information in complex PDFsOCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.Reducto Breaks Document Layouts Into Subsections And Then Contextually Parses Each Depending On The Type Of Content. This Is Made Possible By a Combination Of Vision Models, LLMs, And a Suite Of Heuristics We Built Over Time. Put Simply, We Can Help YouAccurately extract text and tables even with nonstandard layoutsAutomatically convert graphs to tabular data and summarize images in documentsExtract important fields from complex forms with simple, natural language instructionsBuild powerful retrieval pipelines using Reducto’s document metadataIntelligently chunk information using the document’s layout dataBenefits at ReductoAt Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:Unlimited PTO: We believe great work requires recharging.Lunch: Receive a free lunch to eat with your teammates daily at the officeReimbursed Transportation: Provide us with your receipts and we’ll take care of the costsInsurance: Generous health insurance covering medical, dental, and vision.Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.Parental Leave: Work with us to build a leave schedule that works for you and your familyReducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.",Mid-Senior level,Machine Learning Engineer
+313,2025-04-01,San Francisco,CA,Baseten,https://www.baseten.co/,"At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently. 
+
+Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models.
+
+We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic.
+
+Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature.","About BasetenJoin our dynamic team at Baseten, where we’re revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by premier investors such as IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading enterprises and AI-driven innovators—including Descript, Bland.ai, Patreon, Writer, and Robust Intelligence—to deliver top-tier performance, security, and reliability for their production workloads. With our recent $75 million Series C funding, we’re poised to accelerate our mission to make AI accessible across all products. If you’re passionate about tackling impactful challenges and building transformative solutions from the ground up, we invite you to join us on this exciting journey!THE ROLEAs a Machine Learning Engineer specializing in Fine-Tuning at Baseten, you'll create exceptional value for customers by leveraging our world-class infrastructure to fine-tune large language models and/or other modalities, working directly with customers to achieve their specific goals. You'll build scalable pipelines, implement parameter-efficient techniques, and ensure a seamless transition to inference. This customer-facing role requires both technical expertise in foundation model adaptation and the ability to translate customer needs into effective solutions. You'll also help shape our product roadmap by identifying common patterns in customer requirements and working with product teams to develop reusable components and features , reducing the need for custom services and streamlining the fine-tuning process for everyone.ResponsibilitiesDesign comprehensive fine-tuning strategies that translate customer requirements into effective technical approaches—finding the optimal combination of data preparation, training techniques, and evaluation methods to deliver solutions that precisely address customer needsDevelop tools to enable non-ML experts to fine-tune models effectivelyDesign and implement scalable fine-tuning pipelines for large language models and other AI modalitiesWork directly with customers to understand requirements and guide technical implementationServe as the technical point of contact for customers throughout their fine-tuning journeyUtilize state-of-the-art parameter-efficient fine-tuning methods (LoRA, QLoRA)Build systems for efficient data preparation, evaluation, and deployment of fine-tuned modelsResearch and apply cutting-edge techniques in instruction tuning and model customizationCreate frameworks to evaluate fine-tuned model performance against base modelsImplement best-in-class distributed training techniques like FSDP and DDP across various hardware configurationsRequirementsBachelor’s degree in Computer Science, Engineering, or related field3+ years of experience in ML engineering with focus on model training and fine-tuningExperience with advanced fine-tuning frameworks such as Axolotl, Unsloth, Transformers, TRL, PyTorch Lightning, or Torch Tune, enabling efficient model adaptation and optimizationHands-on experience fine-tuning or pre-training LLMs or other foundation modelsExcellent communication skills for explaining complex concepts to varied audiencesNICE TO HAVEExperience working with customers to deliver technical solutionsTrack record of delivering ML projects to enterprise customersKnowledge of distributed training systems and efficiency optimization techniquesExperience with advanced alignment and adaptation techniques including RLHF, DPO, constitutional AI, prompt tuning, reinforcement learning with execution feedback, PPO, or other emerging alignment methodsKnowledge of prompt engineering and domain adaptation methodsContributions to open-source fine-tuning projects or toolsExperience building user-friendly interfaces for fine-tuning workflowsExperience with cloud platforms (AWS, GCP, Azure) and containerization technologiesBenefitsCompetitive compensation package (Flexible PTO, covered healthcare premiums for you and your dependents)A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our eraAn inclusive and supportive work culture that fosters learning and growthExposure to a variety of ML startups, offering unparalleled learning and networking opportunitiesApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.Compensation Range: $150K - $225K",Not Applicable,Machine Learning Engineer - Fine Tuning
+314,2025-04-04,New York,NY,American Express,https://www.americanexpress.com/,"At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. 
+ 
+These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more.  
+ 
+For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together. 
+
+Learn more about us at: 
+https://www.americanexpress.com/careers
+https://www.americanexpress.com/
+https://www.facebook.com/AmericanExpressUS
+https://www.instagram.com/americanexpress/
+https://twitter.com/americanexpress
+https://www.youtube.com/user/AmericanExpress
+
+See our community guidelines at: 
+https://www.americanexpress.com/en-us/company/community-guidelines/
+
+If you have a customer service issue or question, please visit www.americanexpress.com/contactus
+
+","Master’s degree in Data Science, Mathematics, Computer Science, Engineering, Information Systems, or related STEM fields3+ years full lifecycle product development and engineering leadership in highly available, highly scalable, and high throughput systemsExperience in deploying out-of-the box LLMs and Generative AI solutions including setting up Vector DBs, Graph-RAG and extensive testing of LLMs. Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies. Must demonstrate deep knowledge of testing frameworks for Generative AIDemonstrated experience with knowledge graphsExperience in building and owning data science solutions and pipelines within the MLOps ecosystem in Vertex AIHands-on expertise with handling distributed (multi-tiered) systems and automated testing – unit and performance testingDemonstrated experience in building and deploying a diverse set of Machine Learning (GLM, GBM, Neural Networks), Time series forecasting models and NLP solutions at scaleProficiency and Hands-on Experience with Git, CI/CD tools, Elasticsearch, and a solution in each category: Orchestration, Container, Model Serving, Observability, and Feature StoreStrong proficiency in programming with Python, Machine Learning libraries and APIs (TensorFlow, Keras, PyTorch, ScikitLearn, H20.ai, XGBoost)Experience in data visualization and observability with a focus on real time serving and monitoring of time series data with alertsStrong project management skills and effective stakeholder management skills, coupled with a continuous improvement mindsetExcellent presentation and communication skills, capable of explaining complex technical choices in simple terms to a diverse audienceExperience in Financial Services industry is preferredThorough understanding of enterprise infrastructure technologies (Compute, Storage, Network, Mainframe) to inform model development is preferred.",Mid-Senior level,Senior Data Scientist
+315,2025-03-30,Santa Monica,CA,BuildOps,http://buildops.com,"BuildOps is the only all-in-one management software built specifically for the modern commercial specialty contractor. Focusing on trade contractors, BuildOps combines service, project management, and more into a single SaaS platform.
+
+BuildOps enables subcontractors to run their entire business on one software solution that manages their invoicing & billing, scheduling, estimates, proposals, payments, workflows, custom forms, financial reporting, and more. Our industry leading cloud-based solution allows commercial service contractors to increase cash flow, boost profit margins, and impress their customers.
+
+Founded in 2018, privately held, and veteran-owned, BuildOps is backed by large institutional firms including Founders Fund, Next47 (Siemens), Global Founders Capital, and other world-class institutional investors. Visit BuildOps.com to learn more.","At BuildOps, we’re building a groundbreaking software solution designed to support today’s commercial contractors. From managing service departments to project management, we’re breaking the mold and building a team that’s invested in our mission. We thrive on hiring driven, self-motivated individuals with tech start-up experience who excel in fast-paced environments. Could you be our next hire?This role offers the opportunity to join a well-funded, fast-growing technology startup and help build out a critical function for the company.As an AI/ML Engineer, your primary focus will be implementing and enhancing AI/ML features in our industry-leading platform. We’re looking for someone who is passionate about delivering practical, high-quality software and can collaborate effectively in a distributed team environment.What you will do:Build and deploy machine learning models using Python (e.g., PyTorch) on platforms like AWS SageMakerDevelop backend and client-side code to integrate with cloud-based LLM APIs (e.g., Bedrock, ChatGPT APIs).Manage monitoring (Wandb.ai, MLFlow, etc), deployment, and assist with hyperparameter tuningImplement your own ML endpoints in our various React/NodeJS applicationsCollaborate with data scientists and cross-functional teams to deliver impactful and practical AI solutionsWork in tandem with the quality engineering team to ship high-availability softwareBuild and maintain automated unit tests: unit, integration and UIParticipate in PR reviews and ensure proper implementation of ML tooling across our stackCommunicate effectively with engineers, product managers, customers, partners, and other leaders.Stay up-to-date on the latest AI technologies and trends to help other areas of the company find leverage in new advancementsWhat We Look For:2+ years of experience in developing AI solutions preferably with LLMs5+ years of experience in Full Stack software development 5+ years of experience in Python3+ years of experience in Javascript/Typescript, Node.jsFamiliar with MLOps/deployment best practices (Sagemaker experience is a plus)Familiarity with vector databases and text embeddingsProven ability to manage/deploy machine learning modelsExperience with AI/ML frameworks such as TensorFlow, PyTorch, numpy or scikit-learnStrong communication and technical writing skills.Familiarity with unit testing, debugging, profiling and performance monitoring in AWS environment.Prior experience with Node.js, building features using REST and/or GraphQL APIs using Apollo preferredPrior knowledge or ability to quickly learn developing in a MLOps environment (MLflow or similar) preferred.Ability to work a hybrid schedule - Monday/Friday WFH, Tuesday - Thursday, in office.What we offer:Base Salary range $125,000 - $170,000 + bonusGenerous equity grant, become an owner in our company!A comprehensive benefits package.Flexible PTO and hybrid work schedules.Work from Home Stipend.Hubs in Los Angeles, Toronto, and Raleigh with hybrid work schedules with lunch provided for in-office days.Company events like BBQs and team-building activities, both in-person and virtual.Fast-paced, collaborative, and dynamic work environment.Opportunities for growth and career advancement.Chance to work with cutting-edge technology and innovative solutions.The chance to get in on the ground floor and build something truly groundbreaking for ourselves and our amazing customers.About BuildOps:BuildOps is a fast-paced, high-growth start-up committed to transforming a $300B+ industry through an innovative all-in-one SaaS platform. Leveraging the latest technology, we’re taking Commercial Specialty Contractors from the world of pen and paper to cloud-based, data-driven operations. Our leadership team has deep experience in both the Construction and SaaS technology industries, as well as a resume that includes Stanford, Harvard, Wharton, Cornell, Microsoft, and multiple successful start-up exits.BuildOps has more than doubled year-over-year while raising over $140 million in total funding (including a recent round in Feb 2024). Top-tier investors like Founders Fund, Siemens, B Capital Group (BCG's venture arm), 01 Advisors, and more have backed BuildOps! Also, Dick Costolo, former CEO of Twitter, just joined our board, adding to an impressive group of investors/advisors including former President of Salesforce, Gavin Patterson; CAA founder Michael Ovitz; NFL legend Joe Montana; former heavyweight champion Mike Tyson, and Boost Mobile CEO Stephen Stokols.Forbes Magazine“BuildOps is unique because it addresses the problem of efficiency in construction for an often-overlooked audience. Rather than focusing on large projects, or catering to owners, they look to the needs of technician-heavy subcontracting firms working in the commercial space.”TechCrunch“The new financing will be used to support the company’s continued growth. BuildOps sells software that integrates scheduling, dispatching, inventory management, contracts, workflow and accounting into a single software package for commercial real estate contractors with staff ranging from a few dozen to several hundred employees.”CrunchbaseIn a statement, [former NFL superstar] Joe Montana noted that his firm (Liquid 2 Ventures) has an investment thesis in supporting America’s working class… “I just love the idea of making their lives far easier and better,” he said. With BuildOps, “you have one solution that does it all and talks seamlessly to every single part of their business from parts to ordering to inventory and more.”",Entry level,Machine Learning Engineer
+316,2025-04-02,San Francisco,CA,Gametime,https://gametime.co/,"Gametime sells last-minute tickets to the most popular events in sports, music, and theater in more than 50 cities across the U.S. and Canada. We’re passionate about enabling incredible shared experiences, so we build technology that gets people out into the real world together. 
+
+With a bias for spontaneity, we’re focused on making the process simple and smooth while you’re on the move. We eliminated the need for printing tickets and built a better way to access the best live experiences right from your phone – so you can skip the hassle and enjoy the moment. 
+","About UsLive experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.The RoleThe Machine Learning Platform team is responsible for building the core components necessary to support and accelerate the full machine learning lifecycle. In this role, you will work closely with ML Engineers and Data Scientists as well as the Data Platform and Backend Engineering teams to maximize the impact of ML. At Gametime, the modeling teams are expected to work full-stack and end-to-end. This requires reliable, powerful infrastructure and abstractions provided by the Machine Learning Platform team. This is an opportunity to join as a founding member of the team and help shape its future direction.Above & Beyond: The Impact You'll Make:Collaborate with Machine Learning Engineers and Data Scientists to understand their platform needs and translate them into powerful, generalized solutionsOwn existing platform systems and develop the next generation of tools (e.g. training platform, feature platform, inference platform)Architect a platform that boosts overall model iteration speed and allows Machine Learning Engineers and Data Scientists to work in a self-serve mannerImprove the reliability around all components of an ML platform capable of powering critical product features used by millions of usersAlways Be Curious: Skills You've Learned Along The Way:Technical SkillsProven track record in designing and implementing mission-critical, high-reliability systems with rapid deploymentOutstanding programming proficiency, with particular expertise in PythonStrong working knowledge of AWS or equivalent cloud platformsHands-on experience with industry-standard tools and technologies (e.g., Kafka, Docker, gRPC, DynamoDB, Redis, Temporal, Snowflake, Airflow, SQL)Keen interest in machine learning and its associated technologies (such as PyTorch, Scikit-Learn, XGBoost, Jupyter), preferably with some practical experienceInterpersonal SkillsAbility to collaborate effectively across teams and communicate with key stakeholdersProblem-Solving And Decision-MakingA proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibilityOne Team, One Dream: What We Need To Work Together:Experience: 5+ years of industry experiencePreferred QualificationsEducation: Bachelors in Computer Science or similarAt Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.United States - Pay Range$195,000 - $230,000 USDGametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.",Mid-Senior level,"Machine Learning Engineer, Platform"
+317,2025-03-31,Odessa,Florida,Funnel Leasing,http://www.funnelleasing.com,"More than a CRM — a business transformation tool.
+
+Funnel houses all renter-facing interactions in a simplified connected platform, from inquiry through renewals — creating a consistent, “ecommerce” apartment shopping experience that delights renters and leasing teams.","Position: Software Engineer (Entry to Mid-Level)⌛ Employment Type: Full-TimeLocation: Remote (Work from anywhere in the U.S.) Compensation: $80,000 - $110,000 base + EquityPlease noteWe are not engaging with external recruiters or third-party agencies for this role.Must be located in the U.S. - Visa sponsorships are not available for this position.About The RoleWe're looking for an Entry to Mid-Level Software Engineer to help build and maintain our software products. You'll work closely with experienced engineers, product managers, and designers to develop your skills and contribute to impactful projects. If you have a strong foundation in computer science, a passion for learning, and problem-solving skills, we'd love to hear from you.What You'll DoWrite code to develop new features for Funnel's software products.Write unit tests and end-to-end tests to ensure software reliability and quality.Fix bugs and contribute to improving software performance.Participate in code reviews and design discussions to improve your skills.Collaborate with cross-functional teams to deliver high-quality software.What We're Looking ForBachelor's degree in Computer Science, Software Engineering, or related experience.0-2 years of software engineering experience.Professional experience in Python (Django) for backend development and JavaScript (React) for frontend development.Understanding of web technologies (REST APIs, HTTP, HTML, CSS).Strong communication, collaboration, and problem-solving skills.Eagerness to learn and grow in a fast-paced environment.Why Funnel?We are a 'work from anywhere' in the U.S. SaaS company that centers our services on the renter experience. We develop amazing software that has revolutionized the #proptech industry. And did we mention we have an amazing team that is on #FunnelFire!? Oh, did we forget to tell you we have unlimited PTO, benefits that begin on your first day of employment, P.I.N.K. core values that ROCK, and our team puts the FUN in Funnel!Employees may be eligible for various benefits. Generally, we provide employee access to:Health insuranceDental and Vision insuranceCompany paid Life/AD&DLong-term Disability insuranceShort-term Disability insuranceTerm Life insuranceFlexible Spending Account (FSA)Health Savings Account (HSA)Retirement Plan - 2% company matchEAPIn Addition To These Benefits, We Also OfferRemote-first; work from anywhere within the US company cultureUncapped Discretionary Time offSick Leave13 paid holidaysOne time remote work stipendEmployee recognition programEmployee-led Groups (ELG's)Who is Funnel Leasing?Have you ever rented an apartment and wished the process could be better? At Funnel we do too. We know we need to make the process of renting an apartment as easy as purchasing socks on Amazon. We've created cloud-based marketing and leasing software that delivers the ultimate rental experience for everyone involved in the process. We're in the process of transforming the real estate industry through cutting-edge technology built, sold, and supported by the most passionate people you'll meet.Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Funnel, we are committed to building a proptech company that is as diverse as the multifamily industry we serve, and that means to not only live our inclusivity, but also to support and encourage it among all of society. If you are excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may just be the right candidate for this or other roles.Equal Employment OpportunityFunnel provides equal employment opportunities to all qualified individuals without regard to race, creed, color, citizenship, religion, national origin, age, sex, familial or marital status, pregnancy, military or veteran status, sexual orientation, gender identity or expression, genetic information, disability, or any other legally-protected status in accordance with applicable local, state, and federal laws, regulations, and ordinances.Americans With Disabilities ActEmployees must be able to perform all essential job functions, with or without reasonable accommodation.Job ResponsibilitiesThe above statements reflect the general duties, responsibilities and competencies considered necessary to perform the essential duties and responsibilities of the job and should not be considered as a detailed description of all the work requirements of the position. Funnel may change the specific job duties with or without prior notice based on the needs of the organization.",Entry level,Software Engineer (Entry to Mid-Level)
+318,2025-03-28,Austin,Texas,NetBounce Global,https://netbounceglobal.com/,"Netbounce Global provides offshore staffing solutions to CPA and small accounting firms in the U.S. and Canada. We help you hire skilled and experienced offshore staff at a cost-effective price. We have served 50+ firms streamline their operations, reduce staffing costs by up to 60%, and improve efficiency with dedicated offshore teams they can rely on. We have our headquarters in Austin, Texas and an offshore delivery center in India.
+
+At Netbounce, we don’t just hire offshore staff—we build sustainable, high-performing teams that drive your business growth. We hire professionals who understand where their contribution fits and how it impacts your success. Through our rigorous recruitment process, we handpick individuals with strong academic backgrounds, sharp analytical skills, and a problem-solving mindset.
+
+To fuel your growth, we also offer marketing services—including SEO, social media, content creation, design, and website development—helping you build a stronger digital presence while we handle your back-office operations.
+
+From bookkeepers, accountants, tax preparers, payroll managers, and VAs to dedicated marketing staff, we provide you with a team that strengthens both your back-office operations and digital presence—helping your firm scale with efficiency and confidence.
+
+","Job Overview:As a Machine Learning Engineer at [Netbounce Global], you will work on designing, developing, and deploying machine learning models and systems to solve complex real-world problems. You will collaborate closely with data scientists, software engineers, and product managers to build robust, scalable, and efficient ML solutions.Key Responsibilities:Develop and implement machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer vision.Analyze large datasets to derive actionable insights and build data-driven solutions.Collaborate with cross-functional teams to integrate machine learning models into production environments.Optimize machine learning algorithms for speed, accuracy, and scalability.Conduct performance evaluations and fine-tuning of models to ensure they meet business objectives.Keep up to date with the latest developments in machine learning, AI, and related technologies, and integrate these innovations into the team's workflow.Provide mentorship and guidance to junior engineers and team members.Write clean, maintainable, and efficient code while following industry best practices.Required Qualifications:Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.Proven experience (0-4 years) working as a Machine Learning Engineer or in a similar role.Strong proficiency in programming languages such as Python, R, or Java.Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.Solid understanding of machine learning concepts including supervised/unsupervised learning, deep learning, and reinforcement learning.Strong knowledge of algorithms, data structures, and software engineering best practices.Experience with data wrangling, preprocessing, and feature engineering.Familiarity with cloud computing platforms (AWS, GCP, Azure) for ML model deployment.Knowledge of SQL and experience working with large datasets.Experience with version control systems (e.g., Git).Preferred Qualifications:Masters in Computer Science, Artificial Intelligence, or a related field.Experience with deploying machine learning models in a production environment.Knowledge of containerization technologies such as Docker and Kubernetes.Familiarity with big data technologies such as Hadoop, Spark, or Kafka.Strong analytical, problem-solving, and communication skills.Benefits:Competitive salary and performance-based bonuses.Health, dental, and vision insurance.401(k) with company matching.Generous paid time off and holiday schedule.Opportunities for professional development and continuing education.Collaborative and dynamic work environment.",Entry level,Machine Learning Engineer
+319,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+320,2025-01-29,Santa Clara,CA,Tiger Analytics,http://www.tigeranalytics.com,"In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. 
+
+Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. 
+
+If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.","Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!What You'll Do:Collaborate with cross-functional teams to design and deploy ML models. Develop reusable, scalable code for AI/ML applications. Leverage GCP services to build end-to-end machine learning pipelines. Optimize models for performance and scalability using Vertex AIRequirementsKey Requirements: Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools.  Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI.  Model Development & Deployment: Proven ability to design, build, and productionize machine learning models.  API Development: Skilled in developing robust APIs for seamless integrations.  Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us?Work remotely while contributing to cutting-edge projects. Collaborate with a dynamic team passionate about AI/ML innovation. Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that's shaping the future of AI!BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.",Mid-Senior level,Machine Learning Engineer
+321,2024-10-14,Fort Worth,Texas,ConGlobal,http://www.conglobal.com,"ConGlobal is North America’s leading operator of intermodal, finished vehicle, and depot service terminals.  With operations in over 120 locations across the US, Mexico, and Costa Rica and over 50 years of industrial experience, ConGlobal serves as the industry’s go-to expert in terminal operations.  ConGlobal's service and product offerings anchor on complementing specialized industrial equipment operations with advanced, technology-enabled systems and processes.  ","OverviewConGobal, the go-to expert for multimodal, industrial terminal operations, is seeking to hire a Machine Learning Engineer.ConGlobal has been firmly planted in the intermodal industry for more than half a century. From the time Malcom McLean brought the shipping container to the world, we’ve kept our finger on the pulse of the industry and the needs of our customers. The result is an ever-growing list of services and technology to meet ever-evolving needs. We have a passion for innovation and continue to lead out in developing products that enhance our operations, unlock new markets, and disrupt the status quo. Multi-modal expertise. Operations across the U.S., Mexico, and Costa Rica. The largest depot terminal network in North America. Industrial operations insights. Specialized technology. We bring these assets together to unlock value, increase operational efficiency, and drive down costs.We are seeking a machine learning engineer who is well-versed in NVIDIA products, specifically in the areas of TAO, DeepStream and RIVA. This is an exciting opportunity to join our dynamic team and contribute to the development of cutting-edge solutions leveraging NVIDIA's advanced technologies.The main objective of the machine learning engineer is work in collaboration with the engineering team to plan, develop, and apply your knowledge of machine learning and computer vision to help create solutions based on client requirements. This position requires you to be involved in the full machine learning development cycle from data gathering to deployment and maintenance.As a machine learning engineer specializing in TAO, DeepStream and RIVA, your primary responsibility will be to design, develop, and deploy innovative solutions that harness the power of NVIDIA's platforms for various applications. You will collaborate closely with cross-functional teams, including software engineers, data scientists, and product managers, to create high-performance and scalable solutions that meet our clients' requirements. This position will be hybrid in our Fort Worth, TX or Tampa, FL offices. Responsibilities Collaborate with the sales and business development teams to understand customer requirements, participate in pre-sales activities, and provide technical expertise during client engagements.  Design and implement end-to-end solutions that involve data ingestion, preprocessing, model inference, and visualization using NVIDIA's hardware and software stack.  Proficiency in programming languages such as Python and C++ for developing applications on NVIDIA platforms.  Collaborate with software engineers and data scientists to integrate AI/ML models into DeepStream and RIVA pipelines, ensuring optimal performance and accuracy.  Experience training and diagnosing computer vision and/or conversational AI models.  Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues.  Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.  Self-motivated and eager to learn, with a passion for staying up-to-date with the latest advancements in AI, machine learning, and NVIDIA technologies. Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.  Strong experience and in-depth knowledge of NVIDIA TAO, DeepStream and RIVA, including familiarity with their architectures, APIs, and tools.  Proficiency in programming languages such as Python abd C++ for developing applications on NVIDIA platforms.  Demonstrated experience in designing and developing real-time video analytics solutions, preferably using DeepStream and RIVA.  Solid understanding of computer vision, NLP, and deep learning concepts, along with practical experience in integrating AI/ML models into video analytics pipelines.  Experience with deploying and optimizing solutions on NVIDIA GPU-accelerated hardware, such as NVIDIA Jetson or NVIDIA GPU clusters.  Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues.  Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.  Self-motivated and eager to learn, with a passion for staying up-to-date with the latest advancements in AI, machine learning, and NVIDIA technologies. #PR",Entry level,Machine Learning Engineer
+322,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+323,2025-03-22,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.AboutThe Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where """"there are no hard-to-sell, overpriced products.""""Responsibilities Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition. Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow. Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.QualificationsMinimum Qualifications Bachelor or advanced degree in computer science or a related technical discipline. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.Preferred Qualifications 3+ years of work experience in machine learning. Good product sense with a focus on user experience. Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $137750 - $237500 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Search Recommendation"
+324,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $173,000-$259,000 annually.Zone B:The base salary range for this position is $164,000-$246,000 annually.Zone C:The base salary range for this position is $147,000-$220,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 4"
+325,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+326,2025-03-21,Columbia,MD,Omm IT Solutions,https://ommincorp.com,"Omm IT Solutions (Omm) is a Columbia, Maryland based  8(a) certified Women Owned Small Business (WOSB), providing Information Technology (IT) consulting and contracting services on Federal,  State government and commercial contracts .  We provide custom solutions and services while keeping focus on the goals and objectives of our clients in mind.  Omm specializes in  modern & niche technologies such as  Machine Learning, Natural Language Processing, Full Stack Web Development using React.js, Node.js, Angular.js, AI, Data Science & Analytics, and Private & Public Cloud consulting, to name a few. Our team consists of leaders who provide a unique balance of expertise, vision and humility. At Omm, we strongly believe in what we do and how we do it, consistently delivering results with integrity, focus, teamwork, and respect.  
+
+Additionally, Omm is a ISO 9001:2015 certified, MDOT certified Minority and Small Business Enterprise (MBE, SBE, DBE).
+
+Please visit the following link for our current career opportunities: https://www.dice.com/company/90934554
+
+
+","Clearance:  Active TS/SCI and Full Scope Polygraph Clearance Required (Expired within 18 Months is also acceptable) Job Description: A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.Responsibilities: Produce data visualizations that provide insight into dataset structure and meaning.  Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs).  Incorporate SME input into feature vectors suitable for analytic development and testing.  Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.  Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.  Develop statistical tests to make data-driven recommendations and decisions. RequirementsRequired Education & Years of Experience:  Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.  A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience analyzing datasets and developing analytics, and one (1) year of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.  In lieu of a Bachelor’s Degree, an additional four (4) years of relevant experience may be substituted for a total of eight (8) years of relevant experience analyzing datasets and developing analytics, and two (2) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.",Executive,Data Scientist Level 1
+327,2025-04-01,Palo Alto,,BitGo,http://bitgo.com,"BitGo is the leading infrastructure provider of digital asset solutions, offering custody, wallets, staking, trading, financing and settlement out of regulated cold storage. Founded in 2013, BitGo is the first digital asset company to focus exclusively on serving institutional clients. 
+
+BitGo is dedicated to advancing a digital financial services economy that is borderless and accessible 24/7. With multiple Trust companies around the world, BitGo is the preferred security and operational backbone for more than 1,500 institutional clients in 50 countries, including many of the world’s top brands, cryptocurrency exchanges and platforms. BitGo also secures approximately 8% of all on-chain Bitcoin transactions by value and is the largest independent digital asset custodian. For more information, please visit www.bitgo.com.
+","BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.This role will require being full-time onsite at our Toronto office to support collaborative team dynamics and innovative problem-solving.BitGo is looking for a Software Engineer to join our Onboarding team and help us build an API-first platform for businesses and developers to launch crypto products.Responsibilities:Design and build scalable, well abstracted, and robust APIs, libraries, and services to empower our API-first platformOwn functionality and scalability features by taking responsibility from inception to deployment and customer integrationExpose and document functionality to the UI, third-party developers, and our internal and external toolingCollaborate with cross-functional teams to define, design, and ship new featuresWrite clean, maintainable, and efficient codeEnsure the performance, quality, and responsiveness of applicationsIdentify and correct bottlenecks and fix bugsContinuously discover, evaluate, and implement new technologies to maximize development efficiencyParticipate in code reviews and contribute to a culture of continuous improvementWork closely with product managers, designers, and other engineers to understand and refine product requirementsProvide mentorship to your peers in the broader engineering team through code reviews and education on best practicesSkills & Experience: We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.RequiredAt least 3+ years of proven experience of back-end and server-side developmentGreat at algorithm design, problem solving, and complexity analysisStrong experience with of TypeScript, Node.js and ExpressStrong experience with Node.js, TypeScript, PostgreSQL and MongoDBStrong experience with RESTful API designExperience with microservices and service-oriented architecturesExperience with unit and functional testing and debuggingExperience in Git/GitHub and branching methodologies, code review tools, CI tools, etc.Ability to move quickly and adjust course as needed in a fast-paced environmentBachelor’s degree in computer science, applied mathematics, or another technical discipline from a top universityUnderstanding of and strong interest in cryptocurrencies and blockchainPreferredExperience developing consumer-facing crypto productsProven experience building public-facing APIs in a production environmentAbility to work full-stack and familiarity with React Experience working with clients and/or business partnersFamiliarity with any of the following: digital wallets, clearing and settlement, lending, trading, accounting systems, etcWhy Join BitGo?Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $180,000 - $220,000 CAD base salary. Equity and an annual performance bonus are also a part of this role's package.Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you’ll be able to look back and say you were part of the team that transformed investing.",Mid-Senior level,Software Engineer - Onboarding
+328,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our teams develop a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, vertical solutions, creative solutions, and business integrity.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. It Runs For 12 Weeks Beginning In May/June 2025 . Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23Please state your availability clearly in your resume (Start date, End date).Responsibilities: Participate in the development of a large-scale Ads system. Participate in the development and iteration of Ads algorithms by using Machine Learning, including ads query understanding, ads targeting, ads ranking, model serving reliability, etc. Explore, develop and experiment with new features to improve model accuracy. Partner with product managers and the product strategy & operation team to define product strategy and features.QualificationsMinimum Qualifications:Currently pursuing a BS/MS degree in Computer Science, Computer Engineering or other relevant majors. Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. Good analytical thinking capability. Have essential knowledge and skills in statistics. Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.). Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism. Strong communication and teamwork skills. Passion about technologies and solving challenging problems.Preferred Qualifications: Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB). Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).General Hire: If you see the “general hire” in the title of this position, it means that the position is for multiple departments. After applying for this role, your profile will be considered for multiple openings across the department; team-matching will be conducted by hiring managers based on your interview results.The department this position is considered for include but not limited to: Global Monetization Product and Technology-Web Ads and E-Commerce Technology-Closed-loop Monetization TechnologyTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job InformationAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,(General Hire) Machine Learning Engineer Intern (Ads Interface) - 2025 Summer (BS/MS)
+329,2025-04-07,Brentwood,Essex,Impax Recruitment,http://www.impaxrecruitment.com,"𝐖𝐡𝐨 𝐰𝐞 𝐚𝐫𝐞?
+Since 2021, we’ve been the go-to recruitment partner for Web3, blockchain, and AI companies, connecting top talent with the most innovative organisations in the space. As these industries evolve at lightning speed, we help businesses secure the right people to drive growth, innovation, and long-term success.
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+𝐖𝐡𝐚𝐭 𝐰𝐞 𝐝𝐨...
+We specialise in Web3, blockchain, and AI recruitment, sourcing top engineers, developers, marketers, and business development professionals for both start-ups and established tech companies. Our tailored approach ensures the perfect match between high-calibre talent and businesses shaping the future of decentralisation, AI, and emerging technology.
+
+𝐖𝐡𝐲 𝐢𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬!
+Recruitment in Web3, blockchain, and AI isn’t just about filling roles—it’s about building the teams that will define the future. We focus on long-term success, ensuring both businesses and candidates find the right fit to thrive. With a deep network, industry expertise, and a people-first approach, we create stronger teams, more resilient companies, and a lasting impact on these industries.
+
+📲 Follow us for more insights & job opportunities!
+
+🔹 X – @ImpaxRecruit
+🔹 Instagram – @Impaxrecruitment
+🔹 TikTok – @Impax.recruitment","ML Infrastructure EngineerWe are building AI physics models that don't just predict, but understand cause and effect within climate.What You’ll DoArchitect and operate distributed training clusters (e.g. 12+ nodes, 8 GPUs per node) using GKE, Kubernetes, and cloud-native infraDesign scalable, efficient data pipelines for petabyte-scale datasetsImplement and optimize model/data/pipeline parallelism across foundation modelsDeploy, monitor, and debug large-scale multi-node GPU training jobs using DDP, FSDP, and DeepSpeedTune low-level system components (e.g. CUDA, NCCL, network interfaces) for max throughputBuild cluster observability tools: failure detection, logging, monitoring, and autoscalingCollaborate with research and modeling teams to productionize experiments at scaleYou’d Be Great If YouHave deep hands-on experience with distributed training frameworks (FSDP, DeepSpeed, DDP)Know how to set up and debug Kubernetes/GKE GPU clusters, from CUDA to networkingAre fluent in PyTorch and familiar with its performance quirks (e.g., dataset loading, sampler design)Have worked on ML infra at scale (multi-node, multi-GPU setups, 100B+ param models)Understand sampling techniques, data sharding, and performance tuning across the ML stackCan spot a NCCL timeout from a mile away and know how to fix itValue rapid iteration, ownership, and scaling up ambitious systems with a lean team",Not Applicable,Machine Learning Engineer
+330,2025-03-27,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
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+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace of consumers, merchants, and dashers. The Forecasting Platform provides a unique opportunity to have a broad impact on the business ensuring we can quickly respond to a rapidly changing operational environment. The team supports projects across all of our major pillars (e.g. supply / demand, auto-scaling infrastructure, support optimization) as well as the development of an internal decision platform for time series.About The RoleAs a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers.You’re Excited About This Opportunity Because You Will…Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotionsOwn the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilitiesResearch new tools within the Forecasting space (e.g. TimeGPT, LLM extensions)You can find out more on our ML blog post hereWe’re Excited About You Because…High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double downYou’re an owner — driven, focused, and quick to take ownership of your workHumble — you’re willing to jump in and you’re open to feedbackAdaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth settingDesire for impact — ready to take on a lot of responsibility and work collaboratively with your teamExperienceM.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in productionDemonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etcDeep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting Experience of shipping production-grade ML models and optimization systemsNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Mid-Senior level,"Machine Learning Engineer, Forecast Platform"
+331,2025-04-01,Chicago,Illinois,Northwestern Medicine,http://www.nm.org,"Northwestern Medicine is the collaboration between Northwestern Memorial HealthCare and Northwestern University Feinberg School of Medicine around a strategic vision to transform the future of healthcare. It encompasses the research, teaching, and patient care activities of the academic medical center. Sharing a commitment to superior quality, academic excellence and patient safety, the organizations within Northwestern Medicine comprise a combined workforce of more than 30,000 among clinical and administrative staff, medical and science faculty and medical students. Northwestern Medicine is comprised of more than 100 locations throughout the region, with five Northwestern Medicine hospitals ranked among “America's Best” by U.S. News & World Report, 2023 – 2024, our legacy of better medicine continues. What makes us better, makes you better.","Company DescriptionAt Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?Job DescriptionThe Senior Machine Learning Engineer, reflects the mission, vision, and values of NM, adheres to the organization’s Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards.Northwestern Medicine Information Services drives innovative, high-value solutions to transform health care.We are committed to supporting the relentless pursuit of better medicine by providing exceptional service to our patients and guests as well as internal clients across the organization. To ensure excellence, our team goes to extraordinary lengths to ensure that our systems work together seamlessly.Northwestern Medicine understands that technology plays an integral role in shaping the future of health care. Information Services strategically supports the organization by:Enabling digital solutions by leveraging capabilities such as AI, automation, and rollout of advanced cyber controls that support digital transformation strategiesImplementing advanced technologies in clinical and administrative areasFurther develop end user support model to help enhance modern infrastructureResponsibilities:This role is dedicated to the Canning Thoracic Institute. As a leader of the Machine Learning Engineering team, you will work with technical and nontechnical stakeholders to design, build, and manage the infrastructure, platforms, and tools that power advanced technology solutions to enhance medical training, improve quality of care, and enable timely interventions for pulmonary and thoracic patients. QualificationsRequired:Master’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related fieldAt least 5 years of experience developing, scaling, or deploying machine learning modelsProfessional experience with AWS, Azure, or GCPAbility to drive software engineering best practices and share learnings about theoretical and technical developments in ML engineering with team membersExperience providing technical expertise in the design and development of end-to-end technical solutionsDemonstrable experience leading the development of reusable common frameworks, models, or components that can be leveraged to solve common ML problemsBasic understanding of computer architecture and how it affects software performanceDemonstrable experience with version control in a team environmentProficiency in SQL, Python, and a deep learning framework (e.g. TensorFlow, PyTorch)Demonstrable professional experience with CI/CD and RESTful APIsBasic understanding of MLOps and associated tools (e.g. MLflow)Hands-on experience with containerization (Docker preferred)A commitment to writing readable, tested, and well-documented codeDeep understanding of fundamental computer science concepts, including data structures, algorithms, automated testing, and object-oriented programmingDemonstrable experience working independently and managing multiple prioritiesComfortable communicating clearly and succinctly with audiences of varying technical backgroundsMotivated by a curiosity for understanding how complex systems workAbility to teach and mentor othersPreferred:PhD in Computer Science, Engineering, Mathematics, or a related fieldHealth care data integration experience (PHI/HIPAA, HL7 FHIR)Familiarity with FDA regulation for software as a medical deviceProduction experience with Databricks, Spark, and/or KubernetesKnowledge of audio processing workflows and modelsKnowledge of computer vision workflows and modelsFamiliarity with asynchronous programming patternsFamiliarity with GitHub or Azure DevOpsHands-on experience with TerraformExperience with C, C++, C#, or GoHealthcare experienceEpic experienceAdditional InformationNorthwestern Medicine is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.If we offer you a job, we will perform a background check that includes a review of any criminal convictions. A conviction does not disqualify you from employment at Northwestern Medicine. We consider this on a case-by-case basis and follow all state and federal guidelines.",Not Applicable,"Senior Machine Learning Engineer, Full-time, Days"
+332,2025-04-01,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.Machine Learning/Artificial Intelligence powers numerous aspects of the Consumer Experience, including innovation in content discovery and personalization for members, identifying and attracting new members to our product, optimizing our payment processing, and many more.The OpportunityThe Consumer ML Model Compute & Serving Systems team provides the foundation for model computation, inference, and serving for all ML/AI innovation across the various Consumer ML domains. The team is responsible for developing all the building blocks required to run ML models at scale. These building blocks include a model serving platform, an event-driven model compute framework, a compute orchestration engine, and many more.We are looking for strong software engineers for this team, which is a central focus of our business. You will play a highly cross-functional role, partnering with other engineers, product management, machine learning, and data teams to take Netflix’s ML/AI initiatives to the next level.If you have a passion for building scalable, robust systems, are interested in pushing the envelope in applying ML algorithms, and operate in a critical part of the stack that strongly influences what our customers see on their screens, then we want to talk to you.You May Enjoy Working With Us IfYou strive to embrace best practices and are curious about discovering new and better ways to solve problems.You are self-driven and highly motivated to deliver top-tier solutions while learning from and collaborating with Stunning Colleagues.You are strongly motivated to pick up new domains and ship high-quality, well-tested code.You are excited to work in a multidisciplinary environment (engineering, algorithms, data engineering/science, product experimentation).You are comfortable working in a majority-remote team with partners distributed across (US) geographies & time zones.We Would Love To Work With You IfYou have experience building high-traffic distributed systems and ML infrastructure. You have experience supporting large-scale ML models with a direct impact on the customer experience with high availability, throughput, and performance.You are adept at building applications in an object-oriented programming language. We work with Java primarily, so an interest in learning and coding in Java is required.You have strong DevOps experience including performance tuning and optimizations, managing deployments, and capacity planning for large applications.You are experienced working with the public cloud like AWS, Azure, or GCP.You are a proactive, effective communicator and have a strong bias towards action.You have a BS/MS in Computer Science, Applied Math, Engineering, or a related field.Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Netflix is a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Software Engineer L4/L5, Model Serving Systems, Machine Learning Platform"
+333,2025-03-12,El Segundo,California,"Liquid Advertising, Inc.",http://www.liquidadvertising.com,"Liquid Advertising is an independent global full-service agency specializing in gaming clients and targeting the gaming demographic. Founded by industry veterans and staffed by the next generation of pioneers, we offer clients a rare partnership of perspective and innovation. ","First, a little about us:Born in 2000 as an ad agency for the video game, entertainment, and technology communities90 teammates strong across the US, LATAM, and European marketsOur employee turnover has historically been :8% annuallyAd agency partner for Bethesda Softworks, Square Enix, CD Projekt Red, Riot Forge, Capcom, Sega, and other top gaming and entertainment partners. See our work at www.liquidadvertising.com This is a remote position, based in MichiganWhat's this position about?We run dozens of digital advertising campaigns, spending millions of dollars, daily on behalf of our clients—some of the most successful videogame publishers in the industry. Our analytics team helps ensure that we're investing those advertising dollars in the most effective and efficient way possible. This can result in analytics projects that vary widely in complexity, using datasets with millions of rows of data. As the successful candidate, you'll build the software that enables our analytics tools.This position will work on complex, challenging software development projects, delivering solutions for both the analytics team and non-technical end users. Our software connects data pipelines that transform millions of lines of data to front-end web applications that enable technical and non-technical end-users better ways to interact with internal and external data.Our tech stack is a Python backend, Javascript front-end, and PostgreSQL database hosted on AWS.We consistently allow for team members to take on additional projects where they find interest and have been able to provide immense value to the agency this way.RequirementsWhat do we look for?You will have a technical degree (bachelors level or better) including significant coding projects, and preferably with professional coding experience. Your technical skills will include—Core qualifications include strength with Python coding and experience with SQL and other data-focused scriptingPreferred candidates will also have an understanding of Flask, JavaScript, and/or other web toolsYou'll have developed software projects from beginning to end either independently or with a broader team (please provide evidence of this in your application -- github, website, or code samples from a class project)BenefitsThe perks we offerBase salary for this role is in the $50-$65k range DOE. You'll also be eligible for a generous annual bonus plan.Our people also enjoy fully paid premiums for comprehensive health insurance, generous paid time off plans, and a match on 401k savings.Our stanceLiquid Advertising is committed to creating an anti-racist, anti-sexist environment. We're building an ad agency where committed and creative people from all backgrounds can do their best work.No agencies, please. This is a pretty good representation of this position's responsibilities but is not a comprehensive job description. Duties, clients, and team assignments may change as assigned. We regret we cannot consider applicants outside of the United States or those requiring visa sponsorship at this time.",Associate,Jr. Software Engineer - Python
+334,2025-04-03,London ,England,SIBLING,http://www.siblingrecruitment.com,"We are Sibling, a modern IT Technology Recruitment Agency servicing Clients across Europe and the USA. We provide permanent, contract, and retained recruitment services. With over 20 years of combined recruitment experience, we’re on the pulse of modern technology.
+
+Our Sectors:
+✔️Data Science/Data Engineering
+✔️DevOps/SecOps/MLOps
+✔️Cyber Security
+✔️Software Development
+✔️Embedded Software
+
+Our Candidate services:
+✔️Information on market salaries/rates and skills/technical trends.
+✔️Upfront salary and package details.
+✔️Detailed job descriptions, company info, and further technical insights. 
+✔️Insights into working environment, company culture, and career prospects.
+✔️CV and Interview advice. 
+
+Speak to us: 
+📞+44 203 865 7392
+📧 hello@siblingrecruitment.com
+
+Find out more:
+🌐www.siblingrecruitment.com ","Machine Learning Engineer – Generative AILocation: Charlotte, NC, USA (Hybrid) - 1/2 days a week on siteEmployment Type: Full-timeAI + Fintech = The Future. Want in?Sibling is seeking a GenAI Engineer to help build game-changing AI solutions for a cutting-edge fintech in Charlotte. Experience in TensorFlow, RAG, and LLMs is highly sought. What’s being offered:Work with state-of-the-art AI in a high-growth fintech.Competitive salary + strong benefits.Hybrid setup – work from home & collaborate in Charlotte.What you’ll be doing:Building and fine-tuning LLMs for real-world fintech applications.Implementing RAG, vector databases (FAISS, Pinecone, Weaviate) & embeddings.Deploying AI solutions using TensorFlow, PyTorch, or JAX.Optimizing AI-powered decision-making for financial services.Scaling AI with MLOps, APIs, and cloud What we’re looking for:Proven experience with GenAI, NLP, & deep learning.Hands-on with model deployment & cloud AI stacks.Fintech background? Advantageous Please get in touch",Director,Machine Learning Engineer
+335,2025-03-24,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2935863",Not Applicable,"Machine Learning Engineer, AGIF | Finetuning"
+336,2025-03-28,San Francisco,CA,Hightouch,http://www.hightouch.com,"Hightouch is a data and AI platform for marketing and personalization. Find insights, run campaigns, and build AI agents with all of your data. ","About HightouchHightouch’s mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust Hightouch to power their growth.We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With Hightouch, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.Our team focuses on making a meaningful impact for our customers. We approach challenges with a first-principles mindset, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.What else? We’re based in San Francisco but have team members all over the world. Our Series C put us at a $1.2B valuation, and we are backed by leading investors such as Sapphire Ventures, Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.About The RoleWe’re looking to hire a machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.Some of the problems we’ll be working on include:Personalization and Product Recommendation: There are often many options for what content a company could message a user with, including which products to show from catalogues. Given this large state space, how can Hightouch help personalize messages with the most relevant content for each user?Automated Experimentation: Helping companies intelligently navigate and automate experiments across the extensive number of options for messaging customers.Predictive Audiences: Building models to predict which users are most likely to convert, churn, or take desired actions.Content Generation: Particularly with recent advances in LLMs, how can we help marketers generate text, images, and creatives that are compelling to their customers?Budget Optimization: Helping companies assess which marketing spend is driving the most incremental conversions, and where the marginal CAC is lowest.As an early machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $200,000 - $260,000 USD per year, which is location independent in accordance with our remote-first policy.Interview ProcessOur interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.Intro Call [15-30m]: Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.System Design Screen [45m]: Designing a data processing feature end-to-end.Machine Learning Modeling Interview [90m]: Designing a predictive model end-to-end, including data collection and preparation, model training and evaluation, and what systems would be needed to run the model in production.System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.",Mid-Senior level,"Machine Learning Engineer, AI Decisioning"
+337,2025-03-30,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.About The Team:The Data-Search-TikTok-Local Services team enhances local services by improving user discovery of hospitality, dining, and leisure experiences while driving ecosystem growth. They leverage large-scale machine learning to refine search and recommendation systems, focusing on personalized relevance, CTR/CVR prediction, and optimized conversion efficiency for billions of users.Responsibilities: Support the local video service business to enhance user discovery of life services such as hospitality, dining, and leisure. Improve the search experience in local services and promote ecosystem growth. Utilize large-scale machine learning techniques in search and recommendation scenarios with billions of users to: Improve user shopping experiences & Enhance conversion efficiency. Design and implement local services search algorithms across the full stack, including: Query analysis, relevance, recall, coarse ranking, fine ranking, and blended ranking. Personalized behavior modeling for relevance computation.CTR (Click-Through Rate) prediction, CVR (Conversion Rate) prediction. Vector recall and value blending.QualificationsMinimum Qualifications Excellent analytical and problem-solving skills. Strong foundation in machine learning and deep learning, with experience in: NLP (Natural Language Processing).Personalization. Exceptional coding skills with solid knowledge of data structures and algorithms. Proficiency in Linux development environments.Preferred Qualifications Prior experience in search, recommendation, or advertisement algorithms. Familiarity with local life services and e-commerce businesses.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please submit a request at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineering Graduate (ML Engineer - Local Services Search) - 2025 Start (BS/MS)
+338,2025-04-08,Austin,Texas,webAI,https://linktr.ee/thewebai,"webAI is designed to streamline the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices. Our goal is to revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI).
+
+By approaching AI execution in a heterogeneous manner, we aim to create scalable AI products that are industry leading. Our platform is dedicated to enhancing the performance and accessibility of AI technologies, making them more efficient and user-friendly for both businesses and individuals.","About UsWe are establishing the first distributed Al infrastructure dedicated to personalized Al.The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.About The RoleWe're seeking an experienced AI Software Engineer to join our engineering team. As an AI Software Engineer at our company, you'll be at the intersection of cutting-edge AI research and software engineering. You'll work on transforming state-of-the-art ML models into highly efficient, production-ready systems that can operate at scale. This role combines the precision of systems engineering with the innovation of AI development, requiring both strong software engineering fundamentals and ML expertise. You'll collaborate with our research teams to implement novel AI architectures while ensuring our systems maintain high performance, reliability, and efficiency. This is an opportunity to shape the future of AI infrastructure while working on problems that push the boundaries of what's possible in machine learning.Key ResponsibilitiesBuild, document, optimize, and maintain (through CI/CD and testing) AI related software packages and servicesDesign and implement efficient, production-ready AI/ML systemsCollaborate closely with research, engineering, and product teams to understand requirementsIntegrate and optimize AI/ML algorithms and research derived by R&D into platform packages and servicesDebug complex issues within our AI stackQualificationsBachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related fieldMinimum of 5 years of experience in software engineering with a focus on AI/ML.Strong proficiency in C++ and Python for software developmentExperience binding C/C++ into Python (binding in other languages a bonus)Proficiency with C++ build systems like CMakeProven experience with PyTorch; familiarity with MLX is a plusStrong understanding of computer science fundamentals and algorithmsFamiliarity with AI/ML concepts, including LLM and computer vision model architecturesFamiliarity with distributed systems and parallel computing conceptsPreferred Skills And ExperienceExperience with CUDA programming and GPU driven compute accelerationKnowledge of ML model quantization and optimization techniquesFamiliarity with MLOps tooling and practicesContributions to open-source ML projectsExperience developing software within distributed systemsExperience contributing to AI frameworksWe At WebAI Are Committed To Living Out The Core Values We Have Put In Place As The Foundation On Which We Operate As a Team. We Seek Individuals Who Exemplify The FollowingTruth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.BenefitsCompetitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFlexible work weekFree parking, for in-office employeesUnlimited PTOParental, Bereavement LeaveSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.",Entry level,AI Software Engineer
+339,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our team is responsible for providing TikTok search users with first-class search experience by building a strong and robust infrastructure and platform to support product fast iteration and key feature development. In our team, you'll have the opportunity to take part in developing the key features on TikTok Search, understand how TikTok Search could be evolved to be a multi-billion-user product and first-handed experience how user request varies on this giant from time to time. We also build a search inspiration recommendation system for creators, providing them with insights based on real users' search queries. This key capability enriches both the quality and quantity of TikTok's search content ecology and enhances users' search experiences. We promote a culture of self-driven innovation, intellectual curiosity, openness, and problem-solving.Responsibilities Support business development of TikTok Search, provide the best search experience for TikTok users and further enable content growth. Leverage modern machine learning, LLM and recommendation/search/ads experience to improve search products. Build search inspiration recommendation system, and develop algorithms to improve recommendation quality.QualificationsMinimum Qualifications Hands-on experience of leading the development of one or more of Search, Recommendation, Ads, NLP, LLM and large-scale distributed systems. Proficiency in one or more programming languages, including Python, C/C++, Golang, Java or Scala.Preferred Qualifications Bachelor's or advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. 2 years of machine learning related industry experience Experience in search/recommendation/ads and machine learning systems. Ability to apply machine learning algorithms to real business products and drive business growth. Enthusiastic about building a product from scratch or keeping iterating a product.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - TikTok Search Business
+340,2025-03-12,Leeds,England,Strativ Group,http://www.strativgroup.com,We are a multi award-winning team that does talent solutions. We live for innovation and work with ambitious businesses that make the world a better and safer place.,"Machine Learning Engineer - Applied LLMs**4+ years' commercial AI/ML Engineering experience requiredWe are currently partnered with a fast-growing VC-backed seed-stage startup on a mission to transform GTM with a cutting-edge AI Agent. Their product is used by some of the world's fastest-growing companies like Rippling, Docker, Drata etc.Their technology helps sales teams optimize data, scale their outreach, engage leads more effectively, and drive revenue faster. They are looking for a Machine Learning Engineer (someone who bridges the gap between Machine Learning and Software Engineering) to help shape the future of AI-powered GTM automation. You will be responsible for the design, build, and deployment of AI models to power the autonomous sales agent, and will develop and optimize LLM pipelines for real-time, personalized outreach. You'll also work closely with the product and engineering teams to integrate AI capabilities into the platform and will lead prompt engineering, fine-tuning, and multi-agent architectures.Key experience;4+ Years' commercial exp. in AI / Machine LearningExperience building and shipping AI/ML models (e.g., LLMs, RAG pipelines, NLP applications)Proficiency in Python and frameworks such as PyTorch or TensorFlowExperience with vector databases and tools like LangChain or LlamaIndexStrong problem-solving skills and a builder’s mindsetExperience in a startup or fast-paced environment is a plusWe are looking for people with a track record of building and shipping quickly, and who have experience working in dynamic startups.Please apply for more info.",Mid-Senior level,Machine Learning Engineer - LLMs
+341,2025-02-12,Stamford,Connecticut,Point72,http://www.point72.com/,"Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.","A Career with Point72's Technology TeamAs Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.What you’ll doDevelop and maintain scalable AI/ML architectures and systems. Collaborate with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products.Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems. Stay abreast of the latest advancements in AI/ML technologies and methodologies. Ensure compliance with industry standards and best practices in AI/MLWhat’s RequiredBachelor's or Master's degree in Computer Science, Engineering, or a related field. 3-7 years of experience in AI/ML engineering, with a proven track record of successful project delivery. Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit- learn).Proficiency in programming languages such as Python, Java, or C++. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.Commitment to highest ethical standards.We take care of our peopleWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:Fully-paid health care benefitsGenerous parental and family leave policiesMental and physical wellness programsVolunteer opportunitiesNon-profit matching gift programSupport for employee-led affinity groups representing women, minorities and the LGBTQ+ communityTuition assistanceA 401(k) savings program with an employer match and moreAbout Point72Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.The annual base salary range for this role is $175,000-$275,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.",Entry level,"Machine Learning Engineer, GenAI Technology"
+342,2024-08-19,Cambridge,MA,Arena BioWorks,http://www.arenabio.works,"Arena BioWorks is a biomedical research institute focused on uncovering the mechanisms of human disease to identify opportunities for therapeutic intervention. The Institute's private funding model allows Arena to advance novel therapeutics by forming and supporting biotech companies up to early clinical / Series B stage. To learn more, visit arenabioworks.com. ","Arena BioWorks, located in Cambridge, MA, is a new biomedical research institute focused on uncovering the mechanisms of human disease to identify opportunities for therapeutic intervention. The Institute's private funding model allows Arena to advance novel therapeutics by forming and supporting biotech companies up to the early clinical/series B stage.As a machine learning engineer you will work with a team developing generative ML models for synthetic protein design. You will develop infrastructure and code for implementation of large language models applied to biomolecule design. The research team is investigating the tuning of DNA and protein language models for development of therapeutically relevant DNA sequences and enzymes. The machine learning engineer will, in addition to model implementation, will be involved in developing training data curation pipelines, and working closely with lab scientists generating high-throughput experimental data for model evaluation and fine tuning.The candidate is expected to thrive in a multidisciplinary and highly collaborative environment. The desired candidate is passionate about developing and implementing machine learning models for development of therapeutic molecules. They also strongly value collaborating with scientists across teams and scientific areas and enjoy continuously learning from the expertise of their peers and colleagues.Specific Responsibilities:Work with the computational infrastructure team to optimize model training and inference environmentsAdapt and implement protein and DNA language models for synthetic protein designConsult with experimental scientists to evaluate data quality and optimize lab proceduresCurate, preprocess and manage training datasets from public and internal sourcesDocument code and communicate findings to cross-functional scientific teams and to the broader scientific community through written reports, publications, and/or internal and external research presentations Qualifications:Degree in computer science, bioinformatics, mathematics or related2+ years of experience implementing machine learning models in an academic or industry setting.Proficiency in deep learning model development in Python and relevant ML libraries: (e.g. TensorFlow, PyTorch).Ability to work independently and as a team memberStrong interpersonal and communication skills Excellent analytical and critical thinking skills, both scientifically and in the ability to prioritize tasks, set deadlines, and adapt to shifting priorities Preferred Skills:Experience working with molecular biology data (e.g. DNA sequence, functional genomics)",Entry level,Machine Learning Engineer
+343,2025-04-03,Los Angeles,CA,Northwood,https://www.northwoodspace.io,"Northwood was founded in 2022 by Bridgit Mendler, Griffin Cleverly, and Shaurya Luthra with the mission to expand access to space by transforming satellite backhaul infrastructure. We are building an advanced, scalable ground network powered by phased array technology to deliver enhanced connectivity and resilience for space operations. Our innovative approach is designed to rapidly scale and improve the efficiency of satellite communication networks. The first Northwood sites are set to deploy in 2025. Check out our open roles: https://www.northwoodspace.io/careers","OverviewApplicationAbout NorthwoodNorthwood is on a mission to transform connectivity between Earth and space, bringing the benefits of space to the masses through innovations in space communications technologies. If you're passionate about building quickly and seeing your work deployed globally with real impact, we want you at Northwood.Job LevelThe level of this position will be determined based on the qualifications and experience of the successful candidate. We are open to considering candidates of varying experience levels, from mid-career to principal engineers.RoleAs a Software Engineer at Northwood, you will be pivotal in designing, implementing, and optimizing the global service that delivers connectivity to our customers. You will have ownership over key areas - ranging from control of our antenna systems to the customer APIs that enable booking time on our network. An ideal candidate is someone who likes to work across areas of responsibility and can dive deep into high priority challenges.Northwood Is a Full-stack Company, With Software Development Spanning Everything From Manufacturing To Global Data Transfer. We Seek Versatile Candidates Who Want To Contribute Across Multiple Areas While Having a Solid Foundation In One Or Two Core Areas Of Focus. Key Areas Of Focus Include—but Are Not Limited To—the Following (new Team Members Will Have The Opportunity To Work Across These Areas, They Aren’t Expected To Own Everything Listed)Edge systems (ground station)Design and implement control systems for our ground station hardware, you will write software that interacts with everything from embedded systems to RF modemsHigh bandwidth data movementArchitect and optimize data pipelines for efficient movement of data between ground stations and various end environmentsEnsure low-latency and high-throughput data distribution across different platforms, with an end goal of building Northwood’s Software Defined Wide-Area-Network (SD-WAN) capabilitiesCloud orchestration & distributed systems designLead the design and architecture of distributed systems which orchestrates our global ground network across both cloud and on-premises environmentsStack design & inter-service communication: Develop the entire stack design, focusing on inter-service communication protocols to ensure seamless integration and operationAPI, database & front end developmentDesign and build robust APIs for customer and internal interactionsDevelop intuitive front-end interfaces using modern web technologiesBuild a scalable data backend - integrating into ETL pipelines to help make data more actionableMonitoring & alerting systemsCreate comprehensive monitoring and alerting solutions for software and infrastructureImplement tools to ensure continuous uptime and rapid issue resolutionGlobal telemetry capabilities Transform our telemetry data into actionable insights, enabling predictive diagnostics to address issues before they arise; keep our customers informed about relevant operations in real timeInfrastructure, security & pipelinesA global network requires global deployments, and Northwood is committed to building a secure, reliable, and stable pipeline. This infrastructure empowers our developers to deploy changes continuously—without the risk of disrupting the system or relying on 'testing in prod.'Production line software & testingDevelop software for production line bring-up and testingAutomate testing procedures to ensure hardware and software reliabilityWorking alongside mechanical/RF/EE/FPGA and SW engineers to ensure system correctness, performance, and reliability before leaving our manufacturing lineSimulation & orchestration softwareCreate simulations that model satellite and network designCreate simulation tools for testing and validating system performance Design and implement software that orchestrates our global antenna network and data plane Basic Qualifications1+ years of professional software development experience (this doesn’t have to be from a full-time role—there are many ways to gain valuable experience, and we’d love to hear about yours - tell us about internships, projects out of the classroom, or any personal projects)Completed bachelor’s degree in Computer Science, Computer Engineering, Math or other related major (soft-requirement, tell us why you didn't pursue a degree, and what you've done in it's place)Preferred QualificationsWhile we don’t expect you to have every skill listed below, we do expect you to take ownership of one or more areas and drive decisions and implementations where your strengths lie.Programming Languages (General):Proficiency in one or more of the following:Rust, Golang, Haskell, C/C++Open to other languages that are suitable for distributed systems and/or high-performance computing and interested in strong opinions on the right language for various applicationsStrong problem-solving abilitiesExcellent communication and collaboration skillsAbility to work in a fast-paced, dynamic environmentDomain Specific SkillsDistributed Systems & Cloud Computing:Experience designing and implementing distributed systemsKnowledge of cloud services (AWS, Azure, Google Cloud) and orchestration toolsFamiliarity with microservices architecture and serverless computingHardware Interaction & FPGA:Experience with hardware control systemsFamiliarity with FPGA programming and orchestrationUnderstanding of embedded systems development (FreeRTOS, Zephyr)Data Movement & Networking:Proficiency in architecting data pipelines for high-throughput environmentsUnderstanding of network programming and IP protocolsExperience with high-speed communications (10GigE+)API & Front-End Development:Experience in building RESTful APIsProficiency with front-end technologies:JavaScript/TypeScriptFrameworks: Angular, React, or similar.Knowledge of UI/UX best practicesMonitoring & Alerting Tools:Experience with monitoring solutions (Prometheus, Grafana, ELK Stack)Familiarity with alerting systems and incident responseInfrastructure & Security:Proficiency with Infrastructure as Code tools (Terraform, Ansible)Understanding of security best practices and compliance requirementsExperience managing CI/CD pipelines (Jenkins, GitLab CI/CD)Databases & Data Processing:Experience with time-series databases (InfluxDB, TimescaleDB)Proficiency with relational databases (PostgreSQL, MySQL)Knowledge of data processing frameworksSimulationExperience designing/implementing simulations for physical models (think satellite orbits) or network movementOrchestration:Experience designing/implementing orchestration engines for distributed nodes (think robotics, long running jobs, data pipelines, etc…)Testing & Automation:Experience with automated testing frameworksFamiliarity with production line testing softwareCompensation And BenefitsCompensation is determined by role, level, location, and alignment with market data. Individual base pay is determined case-by-case and may vary based on job-related skills, education, experience, and technical capabilities. In addition to a competitive base salary, Northwood offers long-term incentives such as company stock, stock options, cash awards, and discretionary performance bonuses. Benefits include equity, healthcare, unlimited vacation, retirement savings, and professional development opportunities.Additional InformationTo conform to the U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be:A U.S. citizen or lawful permanent resident of the U.S.A protected individual as defined by 8 U.S.C. 1324b(a)(3).Eligible to obtain the required authorizations from the U.S. Department of State.Equal Opportunity EmployerNorthwood is an Equal Opportunity Employer. Employment with Northwood is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.How To ApplyIf you're excited about this role and Northwood's mission, we'd love to hear from you. Please submit your detailing your relevant experience and why you're a great fit for this position.______Join us at Northwood and be a part of transforming space communications technologies, bringing the benefits of space to everyone.",Entry level,Software Engineer – General (new grad / early career)
+344,2025-03-25,Southfield,MI,Stefanini North America and APAC,http://www.stefanini.com/en/,"Stefanini Group is a multinational company with a broad portfolio of technological solutions. Our global presence spans 41 countries and 44 languages. Motivated by a shared entrepreneurial spirit, we help our clients transform their business through digital innovation, working in an agile manner and co-creating for a better future.
+We believe technology can revolutionize a company and that innovation is essential to foster development and competitiveness. We also value new ideas and the power of an open mind, so we recognize every talent is essential to the quality of our projects and especially to our progress. We are big enough to invest in new technology while small enough to be both flexible and adapt to our clients’ needs. Driven by our entrepreneurial mindset, we help customers transform their business through digital innovations by working in an agile mode and co-creating for a better future.
+
+
+We offer a broad portfolio of solutions, combining innovative consulting, marketing, mobility, personalized campaigns and artificial intelligence services with traditional solutions such as service desk, field service, and outsourcing (BPO). We maintain our excellence by investing in technological innovations, the best partnerships, acquisitions of companies worldwide, and the hiring of highly trained professionals.
+
+","Details:Job DescriptionStefanini Group is hiring!Stefanini is looking for a Machine Learning Engineer (Google Cloud Platform), Dearborn, MI (Hybrid) For quick apply, please reach out anmol.tyagi@stefanini.com /+1 248-263-8628 We are looking for a Software Engineer to help build and drive the development of generative AI applications that will transform the future of mobility. In this role, you will work in a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers. You will be responsible for developing cutting-edge generative AI applications and systems that can be deployed across various domains, enabling smarter decision-making, enhancing customer experiences, and optimizing operations.Responsibilities Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems.Maintain and mange current CI/CD ecosystem and toolsFind ways to automate and continually improve current CI/CD processes and release processesExamine, inspect codes / scripts and resolve issuesHelp innovate standardize machine learning development practices.Experiment, innovate and share knowledge with the team.Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.Leverage latest ML / Gen AI / GCP / Kubernetes technologiesJob RequirementsDetails:Experience Required3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.2+ years of experience with Cloud Engineering / ServicesExperience with ML workflow orchestration tools: Airflow, Kubeflow etc.Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++Experience/understanding in MLOPs and Gen AIExperience in DevOps: Jenkins/Tekton etc.Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc.Experience in container management solution: Kubernetes, DockerExperience in scripting language: Bash, PowerShell etc.Experience with Infrastructure as code: Terraform etcExperience PreferredMaster focused in Computer Science / Machine Learning or related fieldExperience working with Google Cloud platform(GCP) - specifically Google Kubernetes engine, Terraform, and infrastructureExperience in programming concepts such as Paired Programming, Test Driven Development, etc.Knowledge of coding and software craftsmanship practices.Must be a quick learner and open to learning new technology.Experience applying agile practices to solution delivery.Must be team-oriented and have excellent oral and written communication skills.Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.Experience and good understanding of GCP, DevOPs, AI/ML and GEN AIEducation Required:A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline.Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.About Stefanini GroupThe Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMMI Level 5 company.",Mid-Senior level,Machine Learning Engineer (Google Cloud Platform)
+345,2025-03-21,Meudon,Île-de-France,Thales,http://www.thalesgroup.com/,"Thales (Euronext Paris: HO) is a global leader in advanced technologies specialized in three business domains: Defence & Security, Aeronautics & Space, and Cybersecurity & Digital identity. It develops products and solutions that help make the world safer, greener and more inclusive.
+
+The Group invests close to €4 billion a year in Research & Development, particularly in key innovation areas such as AI, cybersecurity, quantum technologies, cloud technologies and 6G.
+
+Thales has close to 81,000 employees in 68 countries. In 2023, the Group generated sales of €18.4 billion.","Location: San Jose, United States of AmericaThales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.This is a hybrid full-time position in San Jose, California.Position SummaryA Software Engineer holding this position contributes to and influences the design of new features, continuously keeps abreast of features being rolled out in major new releases on Linux and Windows and works in the area of machine learning and data science, NLP, anomaly detection, LLMs for cloud security. This position will contribute to the new product development and enhancements to existing products that are called for while addressing customer requirements, keeping up with technology advances, achieving established product quality goals, and meeting time-to-market requirementsKey Areas of ResponsibilityDesign and train machine-learning models for data discovery and related applications.Design and implement prediction interface for pre-trained models across platforms.Design and implement trainable models and training workflows.Build and maintain scalable ML pipelines including MLops.Enhancing data collection procedures to include information that is relevant for building ML systemsProcessing, cleansing, and verifying the integrity of data used for ML model training and predictionWork with the system test team to define test plans, troubleshoot and resolve software defects.Investigations of relevant standards (e.g. data classification, data governance, UEBA) and technologies (such as NER, LLM, knowledge graphs) and design products that integrate seamlessly into the emerging ecosystems and conform to standardsBasic QualificationsBS Statistics, Mathematics, Computer Science, or equivalent2+ years of industry experience with data scienceHands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural networks, support vector machines, anomaly detection, and natural language processing.Expertise in modern advanced analytical tools and programming languages such as Python, Scala, and/or Java.Experienced in SQL, Hive, SparkSQL. Java and Scala programming experience a plus.Experience with building end-to-end reusable pipelines from data acquisition to model output delivery.Knowledge and passion for solid software engineering practices, release processes and project life cycles.Excellent communications skills, both verbal and written. Must be able to write clear functional specifications and design documents and engage with stake holders in technical discussions.Self-directed; requires minimal supervision on work productsStrong team player. Willingness to proactively interact with the team and achieve results in a dynamic small company environmentAdditional preferred experience/training including:MS in Statistics, Mathematics, Computer Science, or equivalent fields.Innovative thinker in all areas of system design and debugging.Proven ability to initiate original and creative technical efforts.Ability to multitask, and work effectively in fast paced environment.Familiarity with security software is a plusCloud platforms for GenAI such as GCP, AWS etcPhysical Demands Typical office environment. No special physical requirementsSpecial Position RequirementsCore Business Hours Monday-FridayWhat We OfferThe anticipated TTC range for this role is 113,574.83 - 189,291.38 USD Annual. The Company reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s status protected by local, state, or federal law.Thales provides an extensive benefits program for all full-time employees working 30 or more hours per week and their eligible dependents, including the following: Elective Health, Dental, Vision, FSA/HSA, Voluntary Life and AD&D, Whole Group Life w/LTC, Critical Illness, Hospital Indemnity, Accident Insurance, Legal Plan, Identity Theft, and Pet Insurance. Retirement Savings Plan after 30 days of employment with a company contribution and a match, and with no vesting period. Company paid holidays and Paid Time Off. Company provided Life Insurance.Why Join Us?Say HI and learn more about working at Thales click hereThis position will require successfully completing a post-offer background check. Qualified candidates with [a] criminal history will be considered and are not automatically disqualified, consistent with federal law, state law, and local ordinances.Thales champions inclusion and we believe diversity strengthens the fabric of our culture. Thales is an Equal Opportunity Employer, including disability/veterans.If you need an accommodation or assistance in order to apply for a position with Thales, please contact us at talentacquisition@us.thalesgroup.com.The reference Total Target Compensation(TTC) market range for this position, inclusive of annual base salary and the variable compensation target, is betweenThis reflects how companies in a similar industry and geographic region generally pay for similar jobs. This range helps the Company make pay decisions as one data point among many. Where a position falls within this range is also dependent on other factors including – but not limited to – the employee’s career path history, competencies, skills and performance, as well as the company’s annual salary budget, the customer’s program requirements, and the company’s internal equity. Thales may offer additional benefits and other compensation, depending on circumstances not related to an applicant’s status protected by local, state, or federal law.(For Internal candidate, if you need more information, please reach out to your HR Shared Service, 1st Point)Thales provides an extensive benefits program for all full-time employees working 30 or more hours per week and their eligible dependents, including the following:Elective Health, Dental, Vision, FSA/HSA, Voluntary Life and AD&D, Whole Group Life w/LTC, Critical Illness, Hospital Indemnity, Accident Insurance, Legal Plan, Identity Theft, and Pet InsuranceRetirement Savings Plan after 30 days of employment with a company contribution and a match, and with no vesting periodCompany paid holidays and Paid Time OffCompany provided Life Insurance, AD&D, Disability, Employee Assistance Plan, and Well-being Program",Not Applicable,Software Engineer (Machine Learning)
+346,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+347,2025-03-24,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.TikTok Content Ecology Algorithm Team leverages multimodal, LLM/MLLM, NLP & CV, and recommendation technologies to provide platform-level algorithmic capabilities for various business lines, including local services, search, main architecture, PGC (Professionally Generated Content), and UG (User Growth).Our work spans short video content understanding, global trending event detection, intelligent customer service, and inspiration recommendation.There are over a hundred languages here, presenting multilingual challenges for NLP/LLM technologies.With a vast amount of short video content, MLLM and multimodal technologies have more application scenarios. The platform has a large user base, with hundreds of millions of creators, providing rich application scenarios for inspiration recommendation technologies.All business lines are in a period of rapid growth, with overall DAU and revenue increasing rapidly, offering vast development opportunities.Welcome to join us！About The TeamThe Content Ecology Algorithm Team drives TikTok’s AI innovations in LLMs, NLP, Computer Vision (CV), multimodal learning, and recommendation algorithms. We develop cutting-edge AI capabilities that power multiple business lines, including Local Services, Search, Core Video Architecture, Professional Content (PGC), and User Growth (UG).Our Work Includes: Short Video Content Understanding – Building multimodal AI models to analyze video, text, and speech. Global Trending Event Detection – Developing real-time AI systems to detect viral trends worldwide. Intelligent Customer Service – Implementing chatbot and automation solutions using LLMs. AI-Driven Content Discovery – Enhancing personalized content recommendations through advanced algorithms.With millions of daily users, our work directly impacts TikTok’s growth and user engagement.Responsibilities Develop and optimize LLM, NLP, CV, and recommendation models to improve TikTok’s content ecosystem. Implement multimodal AI solutions, integrating video, text, and speech understanding. Optimize LLM-powered search, discovery, and content recommendation systems for better user engagement. Train and fine-tune deep learning models using TensorFlow, PyTorch, or other ML frameworks. Deploy and scale machine learning solutions in a distributed computing environment. Work closely with AI researchers, software engineers, and business teams to apply AI technologies effectively.QualificationsMinimum Qualifications: Strong programming skills in Python, C++, or similar languages. Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Solid understanding of machine learning, NLP, CV, or recommendation algorithms.Preferred Qualifications: Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field, OR a Bachelor’s degree with exceptional research or industry experience. 2+ years of research or industry experience in LLMs (GPT-style models), multimodal learning, or large-scale ML systems. Experience with distributed computing and optimizing AI models for real-world applications. Ability to apply machine learning techniques to enhance business and user experiences. Publications in top AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.) or strong contributions to open-source AI projects.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - TikTok Content Ecology
+348,2025-04-08,Boston,Massachusetts,Publicis Sapient,http://publicissapient.com/,"Publicis Sapient is a digital business transformation company. We partner with global organizations to help them create and sustain competitive advantage in a world that is increasingly digital. We operate through our expert SPEED capabilities: Strategy and Consulting, Product, Experience, Engineering and Data, which combined with our culture of curiosity and deep industry knowledge, enables us to deliver meaningful impact to our clients’ businesses through reimagining the products and experiences their customers truly value. Our agile, data-driven approach equips our clients’ businesses for change, making digital the core of how they think and what they do. Publicis Sapient is the digital business transformation hub of Publicis Groupe with 20,000 people and over 50 offices worldwide. For more information, visit publicissapient.com.","Job DescriptionYour Impact:Publicis Sapient is seeking an AI Machine Learning Engineer to strengthen our Data Science division. As a key member of the team, you ll lead the development of data-driven solutions powered by cutting-edge learning algorithms, with a special focus on integrating advanced AI methodologies into our workflow. Your role involves implementing conceptual models for problem-solving within the machine learning domain and translating organizational objectives into actionable data-driven strategies. Thriving amidst diverse datasets globally, you ll have the chance to work with state-of-the-art technology and witness firsthand how your insights translate into tangible business results.This position plays a crucial role in advancing the application of machine learning as a foundational tool for addressing real-world business challenges. Leveraging your expertise in advanced AI techniques alongside traditional methodologies, you ll contribute to solving complex business problems across various areas, including Demand Forecasting, Customer Profiling, Operational Optimization, Recommendation Systems, Propensity Modeling, Conversational AI and Risk Analysis.Join us in driving innovation and delivering true business value to our customers through the strategic application of cutting-edge AI and data-driven solutions.QualificationsYour Experience:Experience across public clouds (AWS, GCP, Azure, Snowflake)Fine tuning experience of large models (LLMs, VLLMs, or Vision model)Distributed training or inference experience (distributed, ray, vllm, openllm, bentoML etc).Deployment experience or hosting experience of large models (LLMs, VLLMs, or Vision model)Optimized hosting of model s (vllms, tgi etc)Vector database experience (weaviate, milvus, HNSE, FAISS)Agentic Framework (Metagpt, Agent)Experience with prompt engineeringPassionate and informed on Data Science, AI and knowledgeable on advancements and market trendsExperience with open-source modelsBS/MS in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative or computational field. Advanced degrees preferredStrong written and verbal communication skillsCollaborative and open to new ways of learningSelf-starter who thrives in an autonomous environmentAbility to prioritize and manage multiple tasksProcess oriented with the ability to define and set up processesAdditional InformationThe pay range: $123,000-153,000. The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.Working Here: Flexible vacation policy: time is not limited, allocated, or accrued 16 paid holidays throughout the year Generous parental leave and new parent transition program Tuition reimbursement Corporate gift matching program As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicissapient.com or you may call us at +1-617-621-0200.Company DescriptionPublicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.",Entry level,AI Machine Learning Engineer
+349,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Level 5"
+350,2024-06-21,San Jose,California,WeRide,http://www.weride.ai,"Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days. On October 25, 2024, WeRide was officially listed on the Nasdaq Global Select Market under the ticker symbol ""WRD"", and became the world's first publicly listed universal autonomous driving company and the first publicly listed Robotaxi company.
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+WeRide aims to develop safe and reliable driverless solutions to make mobility and transportation safer, more affordable, and accessible. As the pioneer in autonomous driving technologies and applications, WeRide has developed a comprehensive portfolio, including Robotaxi, Robobus, Robovan, Robosweeper, and advanced driver-assistance system (ADAS), with application scenarios spanning smart mobility, smart logistics, and smart sanitation.
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+With a rich experience in autonomous driving R&D, commercialization, and operation, WeRide has formed partnerships with renowned global OEMs and Tier1 including Renault-Nissan-Mitsubishi Alliance, Yutong Group, GAC Group, BOSCH, etc.
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+WeRide earned a prestigious position among the top ten on Fortune Magazine’s “2023 Change the World” list and was named to Fortune Magazine’s 2024 “The Future 50” list.","Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days.At WeRide, we are dedicated to developing efficient autonomous driving algorithms and evaluation systems to enhance and optimize our autonomous driving technology. As end-to-end models become increasingly mature, we aim to integrate more model techniques and end-to-end capabilities into the autonomous driving domain. This includes tasks such as path planning, scene generation, and scene reconstruction based on large-scale autonomous driving data.We are seeking experienced algorithm engineers to join our team. This role will focus on the development and optimization of Multi-Agent Planning, 3D Reconstruction, and World Model tasks. The ideal candidate should have extensive experience in algorithm development within the autonomous driving or related fields, along with strong skills in model design, programming, and innovation.What you will do:Multi-Agent Planning: Design and optimize path planning algorithms for road participants to ensure the creation of realistic and logical movement trajectories. This includes modeling interactions between multiple agents to form rich and diverse complex environments3D Reconstruction: Develop and improve 3D reconstruction algorithms to create high-precision 3D environmental models from various sensor data sourcesWorld Model: Create and maintain the vehicle's world model by integrating sensor data to enhance the end-to-end simulation capabilities of autonomous drivingCollaboration: Work closely with cross-functional teams including perception, control, and software engineering to drive project progressPerformance Analysis and Optimization: Conduct performance analysis and optimization of algorithms to ensure high efficiency and reliability in real-world applicationsResearch and Innovation: Keep abreast of the latest research and technological developments in the field, continuously improving and innovating our systemsRequirements:Master’s or PhD in Computer Science, Electrical Engineering, Robotics, or a related fieldAt least 5 years of relevant experience, particularly in autonomous driving, robotics, or related model development fieldsProficiency in programming languages such as C++ and Python, with strong capabilities in algorithm design and implementationIn-depth understanding and practical experience in path planning, 3D reconstruction, and environmental modelingFamiliarity with deep learning, reinforcement learning, and other machine learning techniques, and the ability to apply them to real-world problemsStrong foundation in mathematics and statistics, capable of performing complex algorithm analysis and optimizationTeam-oriented with excellent communication skills, able to work effectively with colleagues from diverse backgroundsInnovative mindset, capable of proactively proposing new solutions and improvementsPlus:Publications in top-tier academic conferences or journals in related fieldsExperience with frameworks such as ROS, TensorFlow, or PyTorchPractical project experience or participation in autonomous driving competitionsSalary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $150,000 - $220,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.WeRide.ai offers competitive salary depending on the experience. Employee benefits include:Premium Medical, Dental and Vision Plan (No cost from employees or their families)Free Daily Breakfast, Lunch and DinnerPaid vacations and holidays401K plan",Not Applicable,Machine Learning Engineer
+351,2025-03-20,New York,New York,PermitFlow,www.permitflow.com,PermitFlow is the nation's leading permit application and management platform. We help builders across the country to simplify and speed up the process of obtaining construction permits.,"🚀 About PermitFlowPermitFlow’s mission is to streamline and simplify construction permitting in the $1.6 trillion United States construction market. Our software reduces time to permit, supporting permitting end-to-end including permit research, application preparation, submission, and monitoring.We’ve raised a $31m Series A led by Kleiner Perkins with participation from Initialized Capital, Y Combinator, Felicis Ventures, Altos Ventures, and the founders and executives from Zillow, PlanGrid, Thumbtack, Bluebeam, Uber, Procore, and more.Our team consists of architects, structural engineers, permitting experts, and workflow software specialists, all who have personally experienced the pain of permitting.📌About The TeamWe have a lean but mighty engineering team. We’ve done a lot with a little, but there’s much more work to be done to continue our fast-paced growth and we want you to be a part of that growth. You’ll help us get there by owning end-to-end projects, talking with customers, and ultimately supporting the growth of PermitFlow.Ideally, you’re based in NYC or willing to relocate for hybrid work. We’re currently hybrid in-person 3 days/week in our NYC office.✅ What You’ll Do: You'll work alongside the CTO and engineering team to develop the first construction permit application and management platform for builders. Our current team consists of engineers from Uber, Amazon, NerdWallet, OnDeck, Harvard, Stanford, and more. We are background and experience agnostic, and we encourage anyone to apply if they are passionate about joining a small team and working to solve a real-world pain point.We are seeking a Machine Learning Engineer to help build intelligent systems that enhance our permit processing, document understanding, and compliance workflows. You will work on LLM-based models, retrieval-augmented generation (RAG) pipelines, and AI-driven automation, leveraging state-of-the-art techniques to extract, analyze, and structure complex permitting data.Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit application workflows. Develop and fine-tune retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval. Experiment with pre-trained models and fine-tune them for permit-related NLP tasks, such as document classification and entity recognition. Build scalable machine learning infrastructure, integrating with backend systems to support AI-driven workflows. Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance. Monitor and improve the performance and scalability of deployed models. Stay updated with the latest research in LLMs, NLP, retrieval systems, and apply best practices to our AI models. Collaborate with engineers, product managers, and legal experts to develop AI-native solutions for complex permitting challenges. 🙌 Qualifications & Fit:3+ years of experience in machine learning engineering, ideally in production environments. Strong understanding of LLMs (e.g., OpenAI GPT, Hugging Face models) and their applications. Hands-on experience with retrieval systems (e.g., Elasticsearch, FAISS, or vector databases). Proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with ML model deployment, monitoring, and scaling in a cloud environment (AWS, GCP, or Azure). Strong problem-solving skills and ability to work in a fast-paced, high-ownership environment. 💙 Benefits📈 Equity packages💰 Competitive Salary🩺 100% Paid health, dental & vision coverage💻 Home office & equipment stipend🍽️ Lunch & Dinner provided via UberEats w/ a fully stocked kitchen🚍 Commuter benefits🎤 Team building events🌴 Unlimited PTOCompensation Range: $190K - $240K",Mid-Senior level,"Machine Learning, Software Engineer"
+352,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+353,2025-04-05,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!Adobe Firefly’sGenerative AI Servicesteam is seekingSeniorMachine Learning Engineersfor our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers.Job ResponsibilitiesDesign and evelopmentof core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products. Design and buildML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaboratewith Adobe Research and other model developer teams with a focus on model inference strategies and productization of those modelBuild and optimizeGPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability. Foster a culture of innovation, technical excellence, and continuous improvement across the organization. What You’ll Need To SucceedMS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 5+ years of experience in machine learning, including production-scale deployments. 2+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization). Experience with GenAI frameworks and tools such asPyTorch, CUDA, Triton, TensorRT,Nvidia Dynamo, and Python. Good understanding of generative model architectures, includingdiffusion models, transformers, and GANs. Good communication and leadership skills, with a track record of driving alignment in matrixed organizations. Preferred QualificationsExperience withmodel serving, inference, orchestration, and GPU resource managementin large-scale environments. Hands-on expertise inKubernetes, distributed systems, and MLOps platforms. Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,"Machine Learning Engineer, Adobe Firefly Services"
+354,2025-03-27,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for candidates who brave difficulties, share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.What You'll Do Participate in the development of a large-scale Ads system Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc Participate in the development and iteration of Ads algorithms by using Machine Learning. Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering Research and develop Ads pacing algorithms, ads traffic control, etc Partner with product managers and product strategy & operation team to define product strategy and featuresQualifications BS degree in Computer Science, Computer Engineering or other relevant majors. Excellent programming, debugging, and optimization skills in general purpose programming languages Ability to think critically and to formulate solutions to problems in a clear and concise way.Preferred Qualifications Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python. Good understanding in one of the following domains: ad fraud detection, risk control, quality control, adversarial engineering, and online advertising systems. Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at TiktokOps.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - Search Ads
+355,2025-03-30,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We're looking for an experienced ML Engineer to help us develop and improve the models that power DoorDash's three- sided marketplace of consumers, merchants, and dashers. Team is responsible for building a leading industry level NLP/LLM system to empower all communication for Doordash Journey, also building recommendation/personalization to provide best experience.About The RoleAs a Machine Learning Engineer you will have the opportunity to identify and prioritize machine learning investments across our conversation AI & personalization ecosystem. You will leverage our robust data and infrastructure to develop natural language processing and personalization models that impact millions of users across our three audiences. You will partner with an engineering lead and product manager to set the strategy that moves the business metrics which help us grow our business.You’re Excited About This Opportunity Because You Will…Lead the development of DoorDash's support chatbot & LLM system: Applying LLM, active learning, semi- supervised learning, weak label generation, documentation embedding/retrieval and data augmentation strategies to improve the consumer, dasher, and merchant support experienceDrive the personalization of DoorDash's issue prediction & resolution policies: Using both personalization, recommendation and dynamic pricing modeling technologies to serve millions of customers on personalized prediction resolution for any issues they might encounter during their journeySpearhead the creation of next-generation LLM AI Agent tools: Building Co-pilot system to evolve how millions of users interact with our support systemApply stratification, variance reduction, and other advanced experiment design techniques to create A/B tests to efficiently measure the impact of your innovations while minimizing risk to the broader systemYou can find out more on our ML blog hereWe’re Excited About You Because You Have…3+ years of industry experience developing optimization models with business impact, including 1+ year(s) of industry experience serving in a tech lead role M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldYou must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New YorkDeep understanding of natural language processing techniques and procedures for efficiently acquiring and validating human-labeled dataGood experience in overall big data analysis, system, backed integration with new ML system/solution. Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inferenceFamiliarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLibExperience productionizing and A/B testing different machine learning modelsFamiliarity with advanced causal inferences techniques and contextual bandit algorithms preferredNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - Conversation AI
+356,2025-03-28,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOur team is responsible for developing next-generation chatbot and machine translation solutions to improve the TikTok Shopping experience across the world. We are currently looking for talented engineers that have a deep understanding of natural language processing and machine learning, especially ones with solid skills and experience of large language models, machine translation, and conversational AI.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities You will be responsible for developing and optimizing the intelligent customer service of TikTok shopping. This role will work closely with our product and operation teams to understand the intentions of our users, design solutions of experience excellence, and convey these solutions to our users conversationally, with the support of cutting-edge LLMs technology. You will have the chance to develop NLP models (like text classification, machine reading, summarization) and prediction models (like question prediction and chatbot action prediction) to achieve the above goals. You will be responsible for developing and optimizing the machine translation service of TikTok shopping to better support cross-region product listing, buyer-seller communication, and commenting. You will have the chance to develop machine translation models for the conversational environment and text generation models from multi-modality inputs. You will be responsible for developing and optimizing the multi-modal AIGC model for product copywriting, including product title, selling points, description and live broadcast script creation etc. You will have the chance to apply cutting edge AIGC models to save human effort and improve business performance.About The JobResponsible for the NLP-related research and development, mainly including: Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model. Building the prediction model by mapping the shopping journey of our users to chatbot actions, including suggesting common question-answers and transferring the user to human agent, with cutting-edge prediction models (like Boosting, deep CTR). Building the generation model by understanding business requests, exploring proper instructions, developing high-quality data, and finetuning a language model of billions of parameters (e.g., 13B, 60B). Working closely with our product and operation teams to quantitatively understand the impact of our chatbot and continuously bridge the business improvement action to model optimization action.QualificationsMinimum Qualifications: Bachelor and above with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines. Large language models, natural language generation, machine translation, question answering, machine reading, information extraction, text mining and classification etc. Work experience in e-commerce or the Internet industry is preferred. Practical experience in NLP (dialogue system, machine translation, nlp-related projects in IR/Ads system, etc.) are preferred. Familiar with at least one computer programming language, including but not limited to go/python/Java. Experience of big data development, including but not limited to hive, spark Candidates who have published high-quality papers are preferred, including but not limited to ACL, EMNLP, COLING, AAAI, IEEE TASLP, etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $104500 - $139650 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI) - 2025 Start (BS/MS)
+357,2025-03-24,San Francisco,,Unity,https://unity.com/,"Unity (NYSE: U) is the world’s leading platform for creating and operating real-time 3D (RT3D) content. Creators, ranging from game developers to artists, architects, automotive designers, filmmakers, and others, use Unity to make their imaginations come to life. Unity is the foundation upon which the world’s most powerful digital content is created. Specifically, Unity’s platform provides a comprehensive set of software solutions to create, run and monetize interactive, real-time 2D and 3D content for mobile phones, tablets, PCs, consoles, and augmented and virtual reality devices. 
+In the fourth quarter of 2021, Unity had, on average, 3.9 billion monthly active end users who consumed content created or operated with its solutions. The applications developed by these creators were downloaded, on average, five billion times per month in 2021. For more information, please visit www.unity.com. 
+
+Download Unity: http://unity3d.com/get-unity
+We're hiring! Visit our careers site: https://careers.unity.com
+For support, please email: support@unity3d.com
+
+Check us out on our other social channels: 
+Twitter: https://twitter.com/unity
+Facebook: https://www.facebook.com/unity3d/
+Instagram: https://www.instagram.com/unitytechnologies/","The opportunityWe’re seeking a Senior Machine Learning/MLOps Engineer to join our Data Services and Moderation team within Unity Ads! In this role, you’ll focus on transforming ML workflows and ETL pipelines into scalable, production-ready systems that support ad moderation efforts. You’ll collaborate with teams of data scientists, software engineers, and product managers to design, develop, and deploy various deep learning and LLM/RAG solutions, and ensure their integration into our Unity Ads infrastructure. If you're looking for an exciting and challenging role, that helps app developers drive meaningful monetization, we’d love to hear from you!What you'll be doingDesign, develop, and maintain cloud machine learning pipelines in production for real-time processing and batch processing.Influence and craft the direction of a highly scalable machine learning pipeline.Collaborate with data scientists to explore, design, and build pre/post-processing ETL pipelines.Translate product requirements into a technical design and implement solutions using all resources available to you.Build, monitor, and maintain CI/CD workflows for internal software/tools.What we're looking forProficient and strong knowledge in Python, Terraform, cloud platforms (GCP/AWS), Docker, K8, Kafka, Github Actions, serverless, and SQL.Familiar with Numpy, Tensorflow, Pytorch, vector DB, neural networks, computer vision, LLM, RAG and general ML concepts.Rich experience in building large-scale streaming ETL pipelines, API endpoints, and serverless apps.Proficiency in data manipulation and analysis using tools like SQL, BigQuery, Pandas, and/or Spark, along with experience in data visualization and dashboarding.Strong interpersonal and communication skills, with successful experience collaborating with distributed teams to deliver complex solutions.You might also haveExperience with distributed computing libraries such as Ray or Dask.Experience in A/B testing and statistical analysis.Experience with ML monitoring solutions (Prometheus, Grafana, etc) in a public cloud environment (GCP, AWS, Azure).Additional informationRelocation support is not available for this positionLife at UnityUnity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.",Mid-Senior level,Senior Machine Learning/MLOps Engineer
+358,2025-03-27,Brighton,MA,Harvard Business Publishing,http://www.harvardbusinesspublishing.org,"At Harvard Business Publishing, we believe in the power of leadership to inspire, to transform, and to advance the global good. We empower leaders with breakthrough ideas that solve problems, that elevate performance, and that unlock the leader in everyone. We help leaders move the world forward.
+
+Harvard Business Publishing (HBP) was founded in 1994 as a not-for-profit, independent corporation that is an affiliate of Harvard Business School. We inform and inspire professionals, corporations, educators, and students around the world with the best in management thinking and practice. Through our articles, books, case studies, simulations, videos, learning programs, and digital tools, we reach thousands of organizations and millions of subscribers and social media followers.
+
+With over 600 employees located in Boston (HQ), New York City, Australia, France, India, Mexico, the Netherlands, Singapore, the United Arab Emirates, and the United Kingdom, we serve as a bridge between academia and enterprises around the globe. 
+
+Our three market units—Education, Corporate Learning, and Harvard Business Review Group—produce a variety of media including print and digital (Harvard Business Review, Harvard Business Review Press books, Harvard Business School cases), events (participant-centered learning seminars, custom events, webinars), digital learning (Harvard ManageMentor, HMM Spark), blended learning, and campus experiences. Through these platforms, HBP is able to influence real-world change by maximizing the reach and impact of its essential offering—ideas.
+
+Working at Harvard Business Publishing brings you into a global, dynamic organization that’s constantly discovering—new markets, new technologies and media platforms, and new groundbreaking ideas. You’ll find your co-workers intellectually curious and highly engaged. We collaborate. We experiment. We are always learning. 
+","Harvard Business Publishing (HBP) – the leading destination for innovative management thinking. We reach lifelong learners to improve the practice of management in a changing world. This mission inspires each of us to unlock the leader in everyone – including you!The opportunity:The Machine Learning Engineer position is responsible for delivering an enterprise-grade recommendations engine, LLM integrations, and other ML solutions for our Learning Products. This role will collaborate with data scientists and engineers to influence the short and long-term ML usage strategy for the company. The ideal candidate will excel at helping HBP deliver innovative learning experiences while demonstrating both creativity and attention to detail.What You'll DoCollaborate with technical staff and product managers to strategize and build a next generation content recommendation engine and GenAI integration tools that offer personalized experiences. Contribute hands-on code and ensure product architecture is adaptable the changing needs of the business.Advise on how ML can affect other upstream (content development, content tagging, taxonomy) and downstream services (search, data storage, analytics). Develop high-level design specifications with particular attention to system integration and feasibility.Investigate new and developing technologies in the industry and determine how to leverage these new technologies in our software applicationsBuild efficient and reliable data pipelines using behavioral data and analyticsParticipate in the design, development, and deployment to production of GenAI applications that use modern LLMs (OpenAI, Anthropic, etc.)What You’ll Bring3-5+ years of proven experience in an ML/AI architect role with a focus on GenAI, data analysis, and machine learning algorithms and modelsPractical experience in developing ML models using Python (knowledge of Java and Spring/Hibernate a huge plus)Experience with common ML/AI libraries (e.g. scikit-learn, TensorFlow, PyTorch) and current LLMs (OpenAI, Anthropic, Llama)Hands-on working experience with RAG architectural approachExperience and understanding of application containerization and services (Docker, AWS ECS, AWS ECR)Experience applying system monitoring tools (e.g., New Relic, Splunk)You’ll stand out if you haveExperience with automated testing frameworksWhat we offer:As a mission-driven global company, Harvard Business Publishing is committed to fostering a culture of inclusion, trust, and engagement where everyone is welcome, valued, respected, and feels they belong. In addition to a competitive compensation and benefits package, we offer meaningful programs focused on career development and employee wellness, such as education reimbursement and early-release Summer Fridays!HBP is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.$120,000 - $150,000Above is the annualized pay range for this position. In addition, this position includes the opportunity to earn our annual Performance Based Variable Pay Program. Actual salary will be set based upon a range of factors, including external benchmark market data, individual knowledge, skills, experience, location and internal equity.Above is the annualized pay range for this position. In addition, this position includes the opportunity to earn our annual Performance Based Variable Pay Program. Actual salary will be set based upon a range of factors, including external benchmark market data, individual knowledge, skills, experience, location and internal equity.",Mid-Senior level,Machine Learning Engineer
+359,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems. Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions. Deploy and maintain scalable recommendation models for real-time query handling and product suggestions. Analyze complex datasets to derive insights that guide strategic decisions. Stay up-to-date with the latest machine learning developments, incorporating them into your work.QualificationsMinimum Qualifications: Master's degree in Computer Science, Engineering, Operations Research, or related fields. Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline Thorough understanding understanding of data structures and algorithms, with excellent problem-solving ability. Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineeringPreferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications Internship experience or research experience, especially in e-commerce, recommendation, search engine Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI. Curiosity toward new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilitiesTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2025 Start (MS)
+360,2025-04-02,New York City,NY,Actively AI,https://www.actively.ai,"Custom AI that replicates the depth of your best sellers to increase qualified pipeline and revenue. Founded by Stanford AI researchers and loved by scale-ups and enterprises like Ramp, Verkada, Navan, and Ironclad.
+
+Precision over volume.","About Actively AIOur thesis is that businesses of the future will be powered by agentic human-in-loop-machines that make every business function 10x more efficient.Actively AI is building that machine for sales & marketing, focused on accelerating pipeline generation. We power the day-to-day for outbound teams at dozens of companies like Ramp, Verkada, Ironclad, and Justworks.In addition to top-notch customers that love our product, our team is incredibly high caliber - the co-founders are former Stanford AI researchers and the engineering team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We're also backed by top investors, including First Round Capital (seed investors in Uber, Square, Roblox, Clearbit), Lachy Groom, and Stanford AI faculty.We have a very ambitious product and scaling roadmap, there’s strong market interest in what we are doing, and it’s time to put the foot on the gas. If you get excited by the thought of working really hard on these kinds of problems with a high caliber team, then Actively AI is the right place for you.The roleAs the first Data Scientist at Actively AI, you’ll own the definition and delivery of analytics that power our success. This includes designing and implementing internal metrics to optimize our GenAI-enabled intelligence pipelines, as well as building client-facing dashboards that provide value to hands-on users managing daily workflows, and to executive stakeholders evaluating ROI.Your work will directly influence Actively AI’s ability to scale, helping customers see the impact of our technology while improving our internal processes. It’s a unique opportunity to shape the analytical foundation of a fast-growing company and define how we use data to inform decisions and deliver results.Joining Actively AI means being part of a passionate, high-performing team working on the cutting edge of agentic AI. You’ll enjoy the autonomy to innovate, the opportunity to grow, and the satisfaction of seeing your work make a tangible difference for our customers and the company.Who You AreThe following are some attempts to define what the ideal candidate could look like for this role, but this would be our first Data Scientist hire, and we’d love to hear from you if you think you could be a great fit regardless of how many of the items below you meet!Analytical powerhouse. You have strong SQL and Python analytics skills, enabling you to wrangle, analyze, and visualize complex datasets. You’re equally adept at diagnosing performance bottlenecks and uncovering key insights.Metrics and storytelling specialist. You’re passionate about using data to tell compelling stories. Whether it’s pipeline metrics for our team or client-facing dashboards, you can craft narratives that drive understanding and action.Skilled dashboard creator. You’ve built interactive, intuitive dashboards using tools like Tableau, Looker, or Retool, or even directly using Python or R libraries. You think deeply about user experience and can tailor insights for both day-to-day operators and C-suite executives.High ownership and scrappiness. You’re autonomous and thrive in environments where you can take the reins. You love to iterate quickly and deliver pragmatic solutions that solve real problems.Business-savvy analyst. You excel at quickly developing a deep understanding of new businesses or domains, using that knowledge to inform and guide your analyses. Your insights are always grounded in the context of the organization’s goals and challenges.Fast learner with a growth mindset. You’re excited about working with cutting-edge technology and are eager to deepen your expertise in analytics, AI, and LLMs. You thrive in environments where you can continuously learn and adapt.Excited to build something from scratch. You’re energized by the opportunity to shape the analytics and data strategy of a growing company. You’re not afraid to roll up your sleeves and figure things out as you go.Ideally: You have at least 2-4 years of experience in analytics, data science, or a similar role.Ideally: You’ve worked with internal and external stakeholders to deliver impactful data products.Ideally: You have experience at a fast-growing startup or tech company.Ideally: You have built metrics or analyses of LLM outputs, or even built your own LLM-based analysis pipelines.What You’ll DoOwn metrics and analyses. Define, measure, and track internal pipeline metrics to drive efficiency and effectiveness.Create impactful dashboards. Design client-facing dashboards that provide actionable insights for both hands-on users and executive stakeholders.Collaborate cross-functionally. Work closely with engineering, product, and customer success teams to ensure analytics align with Actively AI’s business goals.Solve real-world problems. Use data to uncover trends, identify opportunities, and deliver actionable recommendations that drive results.The base salary range for this full-time position based in New York is: $120,000 - $160,000. This position is eligible for incentive stock options, subject to the terms of Actively AI's applicable plans. Actively AI offers the following benefits for this position, subject to applicable eligibility requirements: health, dental and vision insurance, retirement benefits, and unlimited PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please discuss with your recruiter for more information.Note on Pay Transparency:Actively AI provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Actively AI factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Actively AI leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Actively.ai reserves the right to modify this information at any time, subject to applicable law. Actively AI is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Actively AI is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation",Not Applicable,Data Scientist
+361,2025-03-29,Irving,Texas,McKesson,https://bit.ly/3xadvB0,"Welcome to the official LinkedIn page for McKesson Corporation. We're an impact-driven healthcare organization dedicated to “Advancing Health Outcomes For All.”
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+As a global healthcare company, we touch virtually every aspect of health. Our leaders empower our people to lead with a growth mindset and deliver excellence for our customers, partners, and the wellbeing of people, everywhere. We work with biopharma companies, care providers, pharmacies, manufacturers, governments, and others to deliver insights, products and services that make quality care more accessible and affordable. Delivering better health outcomes for our employees, our communities, and our environment. Every day, we strive to inspire and enable people to reach their full potential.
+
+To learn more about how #TeamMckesson helps improve care in every setting, visit: https://bit.ly/3xadvB0","McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.Current Need:The Machine Learning Engineer will support the development of an Enterprise MLOps Platform, designed to support, and streamline machine learning projects across various business units. This role involves leading the integration and engineering of state-of-the-art machine learning models, including large language models (LLMs) and pretrained models for text, image, video, and audio data. The successful candidate will provide expert consulting to business units, helping to deploy scalable and efficient AI solutions that drive significant business value.Responsibilities:Implement scalable and reliable systems to handle model inference at scale.Deploy and manage machine learning models in production environments.Work on containerization and orchestration solutions for model deployment. Participate in fast iteration cycles, and adapting to evolving project requirementsCollaborate with ML scientists, software engineers, data engineers and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and automated model deploymentCollaborate with Engineering/DevOps teams to optimize infrastructure for machine learning workloads.Manage and monitor machine learning infrastructure, ensuring high availability and performance. Implement robust monitoring and logging solutions for tracking model performance and system health.Monitor real-time performance of deployed models, analyze performance data, and proactively identify and address performance issues to ensure optimal model performance.Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability in a timely and efficient manner.Implement security best practices for machine learning systems.Ensure compliance with data protection and privacy regulations.Collaborate with DevOps engineers to effectively manage cloud compute resources for ML model deployment, monitoring, and performance optimization.Participate in the development of documentation, standard operating procedures, and guidelines related to MLOps processes, tools, and best practices.Minimum RequirementsDegree or equivalent and typically requires 4+ years of relevant experience.Critical SkillsAbility to work across the full stack and move fluidly between programming languages and MLOps technologies (e.g.: Python, Spark, R, DataBricks, Github, MLFlow, Airflow)Understanding of Azure stack like Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Kubernetes Service, Azure Monitor etc.Experience with cloud-based ML services like AutoMLExperience with visualization technologies (e.g.: RShiny, Python DASH, Tableau, PowerBI) and familiarity with data privacy standards, methodologies, and best practices Experience in developing and maintaining APIs (e.g.: REST)Experience in development, deployment and operations of AI/ML modelling of complex datasetsExpertise in Unix Shell scripting and Dependency driven job schedulers.Additional SkillsExcellent communication and interpersonal skills, with the ability to engage and influence with technical teams, business leaders, and external partners.Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale.Experience specifying infrastructure and Infrastructure as a code (e.g.: docker, Kubernetes, Terraform) Experience with data in the drug supply chain and commercial domain within healthcare, pharma is a plusTeams up and collaborates for speed, agility, delivery excellence and innovation Strong negotiation and decision-making skillsEducation:Bachelor’s or master’s degree in computer science, Data Science, Information Technology, or a related field OR equivalent experienceCandidate must be authorized to work in the U.S, now or in the future, without the support from McKesson. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.Our Base Pay Range for this position$119,600 - $199,400McKesson is an Equal Opportunity EmployerMcKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.Join us at McKesson!",Mid-Senior level,Machine Learning Engineer
+362,2022-12-20,New York,NY,OXMAN,https://oxman.com/,"Envision a future of complete synergy between Nature and humanity, where human-made and Nature-grown become indistinguishable.
+
+OXMAN is a new kind of company fusing design, technology, and biology to invent multi-scale products and environments—allowing design to empower science and science to empower design. As activist designers, we call for a fundamental shift from human-centric design to Nature-centric design. Categorical delineations between climate change and global pandemics, loss of biodiversity and loss of empathy for one another give way to authoring systems that address manifold challenges. Through this shift, we open ourselves up to moving beyond mere maintenance of Nature toward its radical betterment.","OXMANOXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design.At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it.We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments.This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond the mere maintenance toward the advancement of Nature.SummaryOXMAN is seeking a Machine Learning Engineer to join an all-star interdisciplinary team of deep thinkers and brilliant makers, with the aim to leverage artificial learning systems as a tool for mediation between human-made and nature-grown environments. By employing a generative approach and a commitment to process-oriented creation at OXMAN, the Machine Learning Engineer will play a crucial role in a variety of endeavors. These range from design tasks to technological platform advancement, all with the overarching objective to facilitate mediation and dialog and opening opportunities for interactions of combined systems that unite physical, digital, and biological realms.In this position they will design, optimize, and deploy machine learning pipelines using large multimodal datasets containing heterogeneous and complex information related to biology, design, and sustainability. Lead the development of deep generative modeling efforts to explore design spaces and develop real-world deep reinforcement learning methods in biological-artificial hybrid systems. Successful applicants embody stellar technical skills, hold the capacity to navigate and resolve uncertainty, and demonstrate a unique ability to find synergies between biology (wetware), computing (software) and fabrication (hardware). The Machine Learning Engineer will play a key role in researching and developing novel algorithms, models, and methods for solving unique challenges within a variety of biological and bio-inspired systems—from single-celled organisms to whole ecologies and even biotic-abiotic hybrid systems.Core ResponsibilitiesApply techniques from artificial intelligence and machine learning to research, develop, implement, and evaluate state-of-the-art algorithms for applications related to design, fabrication and biologyResearch and develop methods and frameworks in the area of multi modal machine learning, deep generative modelling and deep reinforcement learning to support OXMANs vision of integrated physical, digital and biological systemsPerform and conduct data gathering and data analysis on environmental and biological data as it relates to OXMANs design goalsActively seek opportunities to publish work in top-tier journals and other platforms for promoting scientific knowledgeNurture and augment the scientific vision of OXMAN, upholding core design principles and ensuring the highest and most innovative quality of workActively partner with a multidisciplinary team of professionals, including other biologists, engineers, and designers, across scientific and design pursuitsCommunicate ideas, work, and progress clearly, including by engaging in team meetings, presentations, and other creative communication outletsQualifications & CompetenciesPhD or equivalent, with a focus on computer science, artificial intelligence, machine learning, applied data science, bioinformatics, mathematics, physics, or relevant fieldMinimum 4 years of experience with machine learningExperience in one or more of the following: Multi Modal Machine Learning, Deep Generative Modeling, Deep Reinforcement LearningPortfolio demonstrating out-of-the-box thinking and integration of artificial intelligence methods to other domainsFluency with programming (e.g., Python, C++, ...)Expert knowledge in Machine Learning Frameworks (Pytorch, JAX, ...)Ability to thrive in a fast-paced entrepreneurial environmentExcellent independence, self-motivation, organizational skills, and attention to detailAn interest in design, biology, architecture, artificial intelligence, and/or sustainability is a plusStrong commitment to the team; maintains positive working relationships with diverse people, including internal team and external partnersEmbodies ethics and integrity in all work, respecting both company and broader community policies in all conductOXMAN does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other legally protected characteristics.NYC Salary Range: $83,000-$225,000Salary is based on a number of factors including job-related knowledge, skills, experience, and other business and organizational needs. Our compensation package also includes variable compensation in the form of year-end bonuses, benefits, immigration assistance, and equity participation.",Not Applicable,Machine Learning Engineer
+363,2025-03-21,Chicago,IL,LaSalle Network,https://www.thelasallenetwork.com,"LaSalle Network is a national staffing, recruiting and culture firm with business units that specialize in accounting and finance, administrative, call center, executive search, healthcare revenue cycle, human resources, management resources, marketing, sales, supply chain and technology.
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+Since inception in 1998, LaSalle has worked with thousands of clients and placed more than 80,000 candidates in temporary, temporary-to-permanent and permanent positions.
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+LaSalle Network has been listed on the Inc. 5000 “Fastest-Growing Privately Held Companies in America” list for 12 years, Inc. magazine’s “50 Best Workplaces,” Forbes’ ""America’s Best Professional Recruiting Firms"" list, Fortune's ""Best Small & Medium Companies to Work For,"" “Best Workplaces in Consulting and Professional Services"", and ""Best Workplaces in Chicago"", and Crain’s Chicago Business’ “Best Places to Work” list.
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+For more information, please call 312-419-1700 or visit www.lasallenetwork.com.","Our client is an innovative leader in AI-driven solutions, leveraging machine learning and advanced analytics to drive business transformation. They are committed to fostering a collaborative and inclusive work environment, empowering employees to push the boundaries of AI technology. Our client is seeking a Machine Learning / AI Engineer to join their team in Nashville, TN in a hybrid role. This is an exciting opportunity for a skilled engineer to work on cutting-edge AI and machine learning solutions, driving innovation and solving complex problems across various domains. The pay range for this role is $135,000-$170,000 depending on experience.  Machine Learning / AI Engineer Responsibilities:Design, develop, and deploy AI/ML models for real-world applicationsCollaborate with cross-functional teams to integrate ML solutions into existing systemsPerform data preprocessing, feature engineering, and model optimization to enhance performanceImplement and maintain scalable machine learning pipelines for training and inferenceConduct rigorous testing and validation of AI models to ensure reliability and accuracyMonitor and improve model performance using real-time data and feedback loopsStay up to date with the latest advancements in AI, deep learning, and machine learning technologiesWork with large datasets, leveraging cloud platforms and distributed computing for efficiency Machine Learning / AI Engineer Requirements:3+ years of experience in AI/ML engineering, data science or related fieldsStrong knowledge of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and statistical modelingProficiency in Python, R, or Julia for AI/ML developmentExperience with cloud platforms such as AWS, Azure, or GCPHands-on experience with MLOps, CI/CD for machine learning, and containerization tools (Docker, Kubernetes)Familiarity with natural language processing (NLP), computer vision, or reinforcement learning is a plusStrong problem-solving skills and the ability to translate business needs into AI-driven solutionsExcellent communication skills and the ability to work in a collaborative team environmentExperience with large-scale data processing frameworks such as Apache SparkBackground in time-series forecasting, anomaly detection, or predictive analyticsPrevious experience in healthcare, finance, or manufacturing industries is a plus Machine Learning / AI Engineer Benefits:Health, dental, and vision insurance401(k) with company matchingFlexible hybrid work schedulePaid time off and company holidaysOpportunities for professional growth and development  This is a hybrid role based in Nashville, TN, offering the opportunity to work remotely while also collaborating in-person with a talented team of engineers and data scientists.  If you are interested in this opportunity and meet the qualifications, please apply today!  Thank you,  Abby Meeks Senior Project Manager LaSalle Network LaSalle Network is an Equal Opportunity Employer m/f/d/v. LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Marketing, Technology, Supply chain, Healthcare Revenue Cycle, Call Center, Human Resources and Executive Search. LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries. LaSalle Network is the premier staffing and recruiting firm, earning over 100 culture, revenue and industry-based awards from major publications and having its company experts regularly contribute insights on retention strategies, hiring trends and hiring challenges, and more to national news outlets. LNPW",Mid-Senior level,Machine Learning / AI Engineer
+364,2025-01-09,,,Hugging Face,https://huggingface.co,The AI community building the future.,"At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the RoleGradio is the most widely used library to build and share machine learning demos, with more than 6m monthly downloads on PYPI. It is maintained by the Gradio team within Hugging Face. We are currently working on a suite of AI tools to help users quickly understand and write Gradio code.The first is the Playground: a code editor on our website which can generate or update complete Gradio demos based on a user's query. The main objective for a Machine Learning Engineering intern will be to expand this effort. We can leverage :500k Gradio spaces and thousands of existing prompts from users to build a sophisticated model pipeline with the proper context of how Gradio works. More and more developers are relying on LLMs for assistance in writing code, but these LLMs often do not have proper context on how Gradio works. Gradio has evolved from a library to an ecosystem for machine learning developers, with custom components contributed from our community, Python and JS clients, and Gradio Lite. To advance these efforts and as Gradio's usage and developer community grows, it's important to invest in tools that can help users learn, build and contribute to Gradio.About YouYou're passionate about open source and making advanced ML tools accessible. You are someone who stays up to date with the latest machine learning trends and models. You love experimenting and have a high bias for action and results. Some of our requirements for this role : Experience using modern deep learning libraries and LLM APIs and understanding tradeoffs between different models and APIs Knowledge of how to fine-tune LLMs, create retrieval-augmented generation pipelines, and use re-rankers for two-stage retrieval You're comfortable exploring and contributing to a codebase consisting of Python and Svelte-flavored JavaScript You have a ""product mindset"" -- like experimenting with different user interfaces to build products that are useful to to hundreds of thousands of users  If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.RequirementsPlease provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.",Internship,"Machine Learning Engineer Internship, Gradio - US Remote"
+365,2025-04-04,Los Angeles ,,Lumicity,http://www.lumicity.io,"Solutions Led, Results Driven.
+
+Founded in 2016 as the US entity of the G2V Group off the back of increased US demand, Lumicity is a technical staffing agency that strives to provide world class talent solutions within emerging technologies across the United States, placing the best resource across Engineering, Life Sciences, Technology & Energy. We provide expert, consultative solutions on a direct hire or contract basis and provide a contingent, retained & executive search service to our clients.
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+We are located in Los Angeles, San Diego, Houston, Miami & Chicago with plans for further expansion. Meteoric growth has been achieved through expert market knowledge, excellent standards and exceptional customer care to both clients and candidates; we are one of the most respected recruiters within the industry. 
+
+Our team of experts listen to your recruitment needs and only prescribe solutions of the highest standard. By dividing our consultants into vertical market areas within your industry, you can rest assured that you are only ever working with a technical expert who understands the terminology and nuances that you do not get with most other agencies.
+
+We are proud to be providing solutions to some of the most innovative technology start-ups across, as well as serving some of the most established brands throughout the US.",Senior Machine Learning Engineer (Deep Learning) - Bay AreaExciting stealth-mode AI startup creating state-of-the-art climate models.QualificationsProficient in C++ and PythonExpertise in deep learning architecturesExperience working in a start-up environmentExperience with climate modeling (not required),Mid-Senior level,Machine Learning Engineer
+366,2025-04-07,Menomonee Falls,Wisconsin,Kohl's,http://careers.kohls.com,"Kohl’s is a leading omnichannel retailer with more than 1,100 stores in 49 states.
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+Kohl's business is built on a solid foundation of more than 60 million customers, an unmatched brand portfolio, industry-leading loyalty and Kohl's Card programs, a convenient and accessible nationwide store footprint, and large digital business on Kohls.com and the Kohl's mobile app.","About The RoleIn this role you will work with a data science team and cross-functional partners to solve business challenges in the area of price optimization, promoting data-driven decision making with advanced data analysis, causal inference and machine learning.What You’ll DoAssist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlationsConduct exploratory data analysis to cull actionable insights using analytical rigor and statistical methodsCollaborate with stakeholders to understand business requirements and translate them into technical solutionsDevelop and implement statistical and machine learning models to solve business problems within a cross-functional teamCollaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models and algorithmsDocument projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metricsIdentify and drive continuous improvement of key business metrics within the balanced teamRemain current on the latest trends and developments in data science and technology through self-learning and training opportunitiesAdditional tasks may be assignedRequiredWhat Skills You HaveExperience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver valueExperience using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.Strong problem-solving skills with an emphasis on product developmentExperience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on resultsEffective communication and collaboration skillsBachelor’s of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field2+ years of progressively complex data science or analytics experiencePreferredMaster’s degreeRetail experienceExperience with causal inference concepts and modeling techniquesUnderstanding of econometrics and price elasticity modelingExperience supporting and enhancing live production models",Not Applicable,Data Scientist I (Remote)
+367,2025-04-04,Houston,TEXAS,"Sira Consulting, an Inc 5000 company",http://www.siraconsultinginc.com,"SiRA Consulting is a Certified MBE consulting company that was founded in 2012. As the business world continues to grow and develop, new technologies are appearing in order to help keep up with demand. These technologies can change as rapidly as the rest of the business landscape and it can sometimes feel hard to keep up with.
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+Our IT services can help smooth the path between technology and business, helping to keep companies competitive without being forced to hire an expensive in-house team, or waste the valuable time of staff that are trained to perform other jobs. We offer reliable solutions that are more than just a few technology experts on staff to help you get through software upgrades. We can help you increase efficiency, minimize costs, and add in new technologies without compromising on time or quality. Our expert knowledge can point you to a path that you may not otherwise have taken, and will help reduce costs and increase efficiency.","Job DescriptionML Engineer – Generative AI Terms: 1+ year contract Location: Malvern, PA Work schedule details: Hybrid 3 days a week onsite    UPDATES:Looking for an expert engineer/developer with a year or two experience with generative AI (genAI is only a few years old from the perspective of the user). Details: Responsibilities:Develop, test, and deploy AI/ML solutions to address various business needsCollaborate with data scientists, product managers, and other stakeholders to understand requirements and deliver solutionsOptimize and maintain existing AI/ML models to ensure they perform efficiently and accurately  Required Qualifications:Expertise with SQL and the Python programming languageExperience with a variety of Python’s frameworks and libraries for AI/ML development (e.g. anthropic, TensorFlow, scikit-learn, etc.)Experience building AI/ML solutions on AWSFamiliarity with data engineering practices such as time series data and fact-based data and tools such as Python’s Polars package",Associate,Machine Learning Engineer
+368,2025-02-12,New York,New York,Bombora,http://bombora.com,"Bombora is the leading provider of Intent data for B2B sales and marketing. Bombora's data aligns marketing and sales teams, enabling them to base their actions on the knowledge of which businesses are actively researching what products, and the intensity of that research. 
+
+Using this information, marketers can drive more qualified demand through the funnel, while sales teams can better prioritize accounts and have higher quality conversations. 
+
+The source of this data is the first co-operative of 5,000+ premium B2B media companies. Members contribute content consumption and behavioral data about their audiences that are aggregated into over 10,000+ Intent topics. In turn, they can better understand their audiences, serve advertisers and monetize their inventory.","The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a kind Data Cooperative—enabling a holistic view of an account's research and consumption behavior. From this data, Bombora derives actionable insights that make it possible for brands, agencies, and publishers to identify, understand, and reach their prospects and customers, throughout the buyer and user experience, across the activation platforms of choice.Bombora is continually recognized by analyst firms as a leader in Intent data powering GTM data solutions.As our Machine Learning Engineer, you will play a key role in building and deploying cutting-edge ML and NLP solutions that drive real business impact. You will work on high-scale, production-grade ML pipelines using GCP, Python, and SQL, collaborating closely with data scientists, engineers, and product leaders to bring models from research to deployment. This role offers a unique opportunity to work on complex deep learning challenges, optimize models for real-world performance, and contribute to a growing, high-impact ML ecosystem.We thrive on innovation, collaboration, and end-to-end ownership—every engineer has the autonomy to experiment, build, and deploy solutions that shape key business decisions. If you're looking for a fast-paced, highly technical, and impact-driven environment, this is the perfect place to grow your ML expertise and make a tangible differenceYou will…Implement end-to-end ML workflows on GCP (preferred), integrating data pipelines and model deployment.Work with SQL / PL SQL to clean, transform, and prepare large datasets for ML models.Write efficient Python code, optimize model inference, and develop APIs for model integration.Apply statistical methods to evaluate and improve model performance.Work closely with data engineers, software teams, and product managers to bring ML solutions into production.Implement model monitoring, retraining pipelines, and troubleshooting workflows to keep models accurate over timeTune hyperparameters, optimize inference speed, and ensure models are cost-effective at scaleYou have…4+ years experience in developing ML applications and ML models on Cloud (GCP preferred) Proficiency in Python for ML model development, data manipulation, and automation.Hands-on experience with frameworks like TensorFlow, PyTorch, or Hugging Face.Ability to build and integrate ML models with APIs (e.g., Flask, FastAPI, or cloud-based endpoints).Solid understanding of probability, hypothesis testing, and model evaluation techniques.Prior experience shipping ML models into production at scaleFamiliarity with Git, Docker, and ML CI/CD pipelines for automated testing and deploymentAbility to design ML systems that handle high-throughput, real-time, or batch processing workloads efficientlyBonus points for...Experience with CI/CD for ML models, model monitoring, and orchestration tools like Kubeflow or AirflowKnowledge of distributed computing frameworks (e.g., Spark, Dask) for large-scale ML processing.Understanding of LLMs and vector search for enhancing NLP applicationsPerks and BenefitsHealth / Dental / VisionFlexible Spending / Health Spending AccountsFlexible Vacation / Paid Holidays / Summer FridaysEducation / Tuition Assistance / Annual Learning Stipend401K / MatchGenerous Parental Leave (16 weeks primary/12 secondary)Commuter BenefitsOn Demand Learning (Udemy)Team Lunches / Outings / Events (Yes! We found a way to do virtually!)Compensation PackageThe salary range for this position is $155,000 to $170,000. Actual compensation may vary and will be based on a candidate's qualifications, skills, experience, and location.EquityAt Bombora, we embrace diversity because it breeds innovation. Bombora is an equal-opportunity employer and participates in E-Verify. Employment offers are contingent upon completion of successful background checks.",Entry level,Machine Learning Engineer
+369,2025-03-27,,,Sony Interactive Entertainment,,,"Why PlayStation?PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.Machine Learning Engineer IISan Francisco, CADo you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? The work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning systems.We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams-across Engineering and Product. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.You Will:Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations.Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of recommendation systems.Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.Collaborate with cross-functional teams of technical members and non-technical members in architecture, design and code reviews.Analyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologiesProduce reusable code according to standard methodologies in PythonYou Bring:Masters degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent experienceExperience with Python, and ideally also Scala or JavaExperience in developing ML models for structured data, and ideally also unstructured dataIndustry work experience in designing and implementing large-scale machine learning-based solutions that ideally include: recommender systems, personalization, and A/B testing.Strong machine learning, and statistical knowledgePreferred Qualifications:Proficient with Machine learning frameworks such as Tensorflow, PyTorch, MLlibExperience with Databricks, Spark, Tecton, Kubernetes, Helm, JenkinsFamiliarity with standard methodologies in large-scale DL training/InferenceExperience with reducing model serving latency, memory footprintExperience in cloud-based environments, such as AWSExperience working with custom ML platformsPlease refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.The estimated base pay range for this role is listed below.$182,000—$273,000 USDEqual Opportunity Statement:Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.",Not Applicable,Mid-Career Machine Learning Engineer - Recommendation Systems
+370,2025-03-26,Tampa,Fl,Kforce Inc,https://kfrc.co/4cjVXax,"Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers industry-leading companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise.
+
+Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®","ResponsibilitiesKforce has a client that is seeking a Lead Machine Learning Engineer in the following locations: NJ, DE Eastern PA, Eastern MD, NYC and Northern VA. Summary: As a Machine Learning/Python Lead Software Engineer, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. They are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Responsibilities: Learn about and understand our supported businesses in order to drive practical and successful solution Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Create secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contribute to software engineering communities of practice and events that explore new and emerging technologies Add to team culture of diversity, equity, inclusion, and respectRequirements Formal training or certification on software engineering concepts and 5+ years applied experience Proficient in coding in one or more languages Advanced experience in Python and distributed computing frameworks such as PySpark Experience in setting up Machine Learning platform infrastructure and deploying to the cloud to develop and train machine learning models Hands-on experience and solid understanding of machine learning methods and MLOps, deploying and scaling ML and AI Models on Public cloud services Hands-on experience with AWS cloud-based application development and infrastructure - EC2, EKS Experience in designing and building AWS data pipelines using Lambda, SQS, SNS, Athena, Glue, EMR, S3 to facilitate ML training Experience analyzing and evaluating the ongoing performance of developed models Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Hands-on practical experience in system design, application development, testing, and operational stability Overall knowledge of the Model Development Life Cycle Preferred qualifications, capabilities, and skills: Practical cloud native experience  In-depth knowledge of the financial services industry and their IT systemsThe pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.This job is not eligible for bonuses, incentives or commissions.Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.",Associate,Lead Machine Learning Engineer - Python
+371,2025-04-07,St Petersburg,Florida,EVONA,http://www.evona.com,"We believe in the evolution of knowledge and the progression of people - it is so core to our business, it's the meaning of our name: EVO - to evolve, ONA - people. ​
+
+EVONA Group brings together pioneering talent solutions for today’s most ambitious companies, with a suite of services designed to meet the unique demands of space, defense, and deep tech.
+ 
+FRACTION - www.evonafraction.com - connects VCs, PEs, and founders with fractional executives, bringing high-impact expertise exactly when it’s needed. 
+
+GRAM PARTNERS - www.grampartners.com -  is our white-glove executive search and consulting service, led by former SpaceX and Apple executives, delivering unmatched precision in high-level talent acquisition. 
+
+EVONA - www.evona.com -  is the original, award-winning subscription and direct hire service for VP, director, management, and individual contributor roles, trusted by top companies for a seamless recruitment experience.
+ 
+Our platforms empower you to source talent independently or access curated executive search expertise – and we’ve built a following you can leverage to drive your mission forward.
+
+Call on: +1 202-381-9944 (US) or +44117 2034444 (UK)","Machine Learning EngineerThe Machine Learning Team is focused on developing and implementing advanced machine learning algorithms to solve complex problems in the evolving space economy. These efforts span various domains, including Computer Vision, Edge Processing, Data Fusion, and probabilistic statistical modeling.As a Machine Learning Engineer, you will enhance existing capabilities, incorporate the latest research, implement state-of-the-art algorithms, productionize models, create MLOps solutions, and work with end-users to deploy innovative systems.Key ResponsibilitiesDesign, develop, and validate reliable and scalable algorithmic solutions.Research and implement cutting-edge algorithms for challenging space-based applications.Optimize the runtime performance of existing implementations.Collaborate with end-users and partners in a team-focused, innovative environment.Integrate current and future machine learning solutions into production pipelines.Contribute to team discussions and provide insights to drive innovation across multiple related projects.QualificationsMinimum RequirementsBachelor’s or Master’s degree in Data Science, Machine Learning, or a related technical field, or 4+ years of relevant professional experience.Strong programming skills in Python.Proficiency with one or more of the following frameworks: PyTorch, TensorFlow, JAX.Solid understanding of linear algebra, calculus, statistics, and machine learning principles.Hands-on experience in developing advanced machine learning applications.Proficiency in data analysis, engineering, and exploration techniques.Excellent problem-solving, critical thinking skills, and strong engineering fundamentals.Ability to communicate complex algorithms and concepts effectively.Strong oral and written communication skills.Experience with Linux and shell command-line tools.Willingness to travel for collaboration across teams.Flexibility to work extended hours or weekends occasionally, if necessary.Eligibility to obtain a Secret or TS/SCI security clearance.Preferred Skills and ExperienceProgramming skills in C++.Experience productionizing machine learning solutions.Experience working in cloud environments (AWS, GCP, Azure).Knowledge of areas such as computer vision, uncertainty quantification, signal processing, computational physics, and time series analysis.Familiarity with platforms like Kubeflow, Blender, or Nvidia Omniverse.Additional RequirementsThis role may involve access to technology and software subject to U.S. export controls. Applicants must meet export control compliance criteria, including being a U.S. citizen, lawful permanent resident, refugee, or asylee, or be eligible for required U.S. Department of State authorizations.BenefitsHealth Insurance: Comprehensive medical, dental, and vision coverage.Retirement Plans: Access to a 401(k) plan.Paid Time Off: Generous vacation, personal days, and holidays for a healthy work-life balance.Professional Development: Access to training, workshops, and courses to foster career growth.Team Building: Regular social events, team outings, and company-sponsored activities.Diversity and Inclusion: A welcoming and equitable work environment supported by dedicated initiatives.About UsWe are a forward-thinking company dedicated to shaping the future of space exploration and operations. Our work includes designing cutting-edge spacecraft for space transport, orbital debris removal, and Space Domain Awareness (SDA) to support current and future space missions. We aim to deliver high delta-V per dollar to maximize cost-efficiency in space transportation. Our past successes include the launch of our first satellite in mid-2023, with additional missions planned for 2025.Apply now to join a collaborative and innovative team driving the future of space technology.",Mid-Senior level,Machine Learning Engineer
+372,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+373,2025-03-28,Princeton,New Jersey ,Compunnel Inc.,http://www.compunnel.com,"Compunnel, Inc., founded in 1994 and headquartered in New Jersey, is at the forefront of providing customized workforce and digital transformation solutions, enhancing the total experience for our valued business allies. Our approach integrates innovative technologies with a human-centric dialogue, exceeding the needs of our customers, employees, partners, and key growth contributors and delivering exceptional value.  
+
+With a strategic presence across the United States through over 30 local service delivery centers and global support from our centers in Canada, India, and the UK, Compunnel proudly serves over 200 clients, including 23% of Fortune-listed enterprises. Our expertise is trusted by various clients, from global corporations to various federal, state, and local agencies seeking premier talent solutions.  
+
+An 12-time honoree by Inc. 5000 as one of the Fastest-Growing Private Companies in the US, Compunnel facilitates businesses in multiple sectors to secure top-tier talent and cutting-edge technology solutions. We specialize in Software Development, Cloud Services, Data Analytics, AI & Machine Learning, Cybersecurity, and  Recruitment Solutions in IT, Non IT & for Public Sector. Our AI-powered, intelligent solutions are at the core of our digital offerings, driving smarter decision-making and empowering organizations to bridge the gap between their current and desired states with precision, speed, and  a measured approach. For over three decades, we have been the leading choice of more than 23% of Fortune 500 companies for their technology and talent needs.   
+
+As a recognized Minority Business in the US and Canada, we champion diversity and inclusivity, ensuring equal opportunities for talent from diverse backgrounds. Our robust partnerships with technology leaders like AWS, Microsoft, UiPath, and Google Cloud reflect our commitment to pioneering AI-driven innovations and establishing centers of excellence for our Fortune 500 clients worldwide.  
+
+ ","Updated Must Haves-Strong project experience in Big Data platform with Amazon Web Services and Cloudera Data Platform is must.Strong experience with REST API development using Python frameworks (Django, Flask etc.) is must.Micro Services/Web service development experience using Spring framework is must.4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.Good project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive",Mid-Senior level,Machine Learning Engineer
+374,2025-03-20,,,Top AI Start up,,,"ML Engineer at a top AI start upRequirements:Experience from a start-up, or from an AI/ML engineering background Bachelors degree from top 50 Computer Science schoolResponsibilities:Create datasets, benchmark models, and define evaluation metrics for various tasks in voice agent platform.Train / Fine-tune various audio & LLM models for accuracy, latency, and domain specific knowledge.Work with engineers to integrate, monitor, and optimize models in production.Setup and manage a scalable human evaluation pipeline.Stay updated on cutting-edge AI advancements and experiment with / benchmark new models.Create scalable ML infrastructure & deployment within the system.",Mid-Senior level,AI/ML Software Engineer
+375,2025-03-28,San Francisco,California,Scale AI,https://scale.com,"At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 
+
+The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
+
+Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. ","The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.We are building a large hybrid human-machine system in service of ML pipelines for Federal Government customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.You will:Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers. Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines Work with massive datasets to develop both generic models as well as fine tune models for specific products Build the scalable ML platform to automate our ML service Be a representative for how to apply machine learning and related techniques throughout the engineering and product organizationBe able, and willing, to multi-task and learn new technologies quickly This role will require an active security clearance or the ability to obtain a security clearance.Ideally You’d Have:Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment Solid background in algorithms, data structures, and object-oriented programming Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch Nice to Haves:Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience with generative AI models Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$224,400—$293,250 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$201,960—$263,925 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.",Entry level,"Machine Learning Engineer, Public Sector"
+376,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+377,2025-03-20,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems. Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions. Deploy and maintain scalable recommendation models for real-time query handling and product suggestions. Analyze complex datasets to derive insights that guide strategic decisions. Stay up-to-date with the latest machine learning developments, incorporating them into your work.QualificationsMinimum Qualifications: Master's degree in Computer Science, Engineering, Operations Research, or related fields. Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline Thorough understanding understanding of data structures and algorithms, with excellent problem-solving ability. Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineeringPreferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications Internship experience or research experience, especially in e-commerce, recommendation, search engine Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI. Curiosity toward new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilitiesTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2025 Start (MS)
+378,2025-03-24,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced senior machine learning engineer to help us develop the cutting-edge Computer Vision models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Applied Machine Learning expert to join our team. As a Computer Vision expert, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the computer vision system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph and inventory information more accurate and real time, as well as help Dasher efficiency. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve consumer vision problems such as entity recognition, entity resolution, attribute extraction, object detection, segmentation, metric learning, and category classification, image classification.Collaborate with cross-functional leaders across engineering, product, and business strategy to help shape a product roadmap driven by machine learning, accelerating the growth of a multi-billion-dollar retail delivery ecosystem.Explore and harness diverse data sources, leveraging intuitive models and fostering a culture of flexible experimentation. Your goal will be to continuously improve the shopping and dashing experiences, delivering solutions that are not only effective but also scalable and user-centric.Drive impact and enjoy ample room for both personal and professional growth. This includes opportunities for deep technical development and leadership as you work within a growing team that is actively unlocking new markets for the company.Innovate and experiment with cutting-edge technologies and methodologies in AI and ML. You’ll have the freedom to explore emerging technologies, test new ideas, and drive technical innovation in the computer vision space, directly shaping the future of our retail and delivery solutions.We’re Excited About You Because You Have…Industry experience developing machine learning models with business impact, and shipping ML solutions to production. You have successfully shipped ML solutions to production and understand the nuances of transitioning models from development to real-world environments.Deep expertise in applied Computer Vision, with hands-on experience solving challenging vision-related problems and implementing solutions that drive customer value. Your knowledge extends to solving complex tasks such as object detection, classification, and segmentation.Strong machine learning and programming skills, particularly in Python, with experience in key ML frameworks such as PyTorch, TensorFlow, or Spark. You’re able to implement scalable models and optimize performance for production systems.You must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New YorkM.S., or PhD. in Computer Vision, Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field is a plusFamiliarity with causal inference and experimentation techniques, enabling you to design and evaluate experiments that validate the effectiveness of ML models and ensure the product’s continuous improvement.Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,"Machine Learning Engineer, Computer Vision"
+379,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services.We use AIGC large model, deep learning, machine learning and other technologies to establish a safe and trusted connection between billions of active users and the company's commercial products (advertising, e-commerce, live broadcast, etc.). By building a highly concurrent and highly reliable risk control system, we can perceive and deal with the risks of commercial products in real time. By building an end-to-end deep learning model and machine learning system, we can understand the content of commercial products and automatically review tens of millions of content in a short time.We are a technical team distributed in Beijing, the Bay Area of the United States, Singapore and other places. We sincerely invite you to join us and build the most advanced risk control system in the industry.Responsibilities: Responsible for understanding content of advertisements, including titles, images, videos, OCR texts, ASR texts, etc. Responsible for the construction of models, such as AIGC model, semantic matching model, classification model, etc. Responsible for the construction of text-related strategies, including keyword mining, rule mining, etc. Participate in basic NLP capacity building, such as long/short text classification, seq2seq, NER, keyword mining, attention mechanism and other related technologies.Qualifications Excellent algorithm foundation and programming ability, familiar with mainstream programming languages such as python/c++. Familiar with NLP-related tasks, and have practical experience and technical accumulation in one or more fields of NLP. Familiar with the theory of deep learning and machine learning, such as Bert, Transformer, Electra, LSTM, LR, SVM, HMM, CRF, Decision Tree, Random Forest, etc. Familiar with model training frameworks, such as tensorflow, pytorch, mxnet, etc. Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills. Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability. Experience in AIGC models is preferred.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $117000 - $210960 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer - NLP, TikTok Business Integrity"
+380,2025-03-10,Toronto,Ontario,Ideogram,https://ideogram.ai/,"Ideogram is defining the future of design in the age of AI. Turn your ideas into stunning graphic designs, in a matter of seconds. It's pronounced eye-dee-oh-gram.","Ideogram’s mission is to help people become more creative. Our thesis is that everyone has an innate desire to create. We are developing state-of-the-art AI tools that will make creative expression more accessible and efficient. We are pushing the limits of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a small presence in NYC. Read our Canvas and Ideogram 2.0 blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About The RoleAs a Machine Learning Engineer, you will build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.What We're Looking For2+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlowExperience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratchTrack record in machine learning innovation and familiarity with Deep Learning and advanced Machine LearningEnd-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AIAbility to debug machine learning models to iteratively improve model quality and performanceNice to have: Familiarity with kubernetes and dockerOptional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel codeFounding teamOur founding team consists of world-renowned AI experts including Mohammad Norouzi, Jonathan Ho, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, UC Berkeley, CMU, and the University of Toronto. Our fundamental work in AI includes: Imagen: Google’s text-to-image system, Imagen Video for video synthesis, Denoising Diffusion Models, which is the foundation of the recent generative media transformation.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.",Mid-Senior level,Machine Learning Engineer
+381,2025-04-05,San Francisco,CA,Lightfield,http://www.lightfield.app,A new kind of CRM.,"About LightfieldLightfield is a new kind of CRM.It's a collaborative system for founders to find, understand, and serve customers faster than anything before it.It captures every customer interaction, generates and performs followup actions, and answers questions about your go-to-market using knowledge obtained in real time.Our system is tuned and customized by a team of experienced sellers, engineers, and researchers. Many of us worked on large-scale products including Llama, Messenger, Instagram, Pinterest, and Linkedin before this.Lightfield.appAbout The RoleLightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers.Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMsWe’re inspired by the challenge of creating innovative new AI products for people doing serious work, and we’re looking to grow our AI/ML team to meet that challenge.Key ResponsibilitiesLead the development of ML product development infrastructure, focusing on scaling and innovating in areas of collaboration and versioning, particularly in the context of LLM model training and promptingCreate and maintain a platform that will be used by multiple teams working on ML products, ensuring its scalability, efficiency, and user-friendliness. Collaborate closely with internal teams to integrate ML solutions and define best practices for software engineering in an AI-driven development landscape. Help build a world-class AI/ML engineering team by recruiting and mentoring teammatesAddress and solve open-ended technological challenges in software engineering at scale, especially in the context of AI-driven systems. Who You AreYou have a BS or MS degree in CS, Engineering, AI or a related field. 6+ years experience in software engineering with a focus on ML infrastructure. You have a strong understanding of deep learning AI/ML frameworks or cloud servicesExperience with the integration of software engineering with large language models. Ability to navigate and solve open-ended technological challenges in a fast-evolving AI landscape. Excellent collaboration skills, with the ability to work effectively with both internal teams and external partners. Strong problem-solving skills and the ability to handle complex, cross-functional projects. Bonus PointsPublications in applied AI/ML scientific journalsExperience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)Compensation Range: $180K - $270K",Mid-Senior level,"Machine Learning Engineer, GenAI Platform"
+382,2025-03-15,New York,New York,ITE Management,http://www.itemgmt.com/,"ITE Management L.P. is a privately held, SEC-registered, alternative investment firm focused on transportation infrastructure. We seek to generate stable risk-adjusted returns for investors through a highly diversified portfolio of critical, income-generating transportation assets.","ITE Management, a leading investment manager and private equity firm specializing in the acquisition of transportation equipment and asset operating platforms in the infrastructure sector, is seeking an Accounting Manager to join their Finance & Accounting team in New York. Founded in 2014, ITE targets real asset investment opportunities that are cash yielding with downside protection, and benefit from a team with deep, longstanding relationships and financial and operating expertise. Today, the firm manages over $9bn of assets globally across rail, intermodal, aviation, and emerging technology strategies with office locations in NYC, Chicago and St. Louis.We are seeking a highly skilled Data Scientist to join our growing team of data scientists at ITE. As a Data Scientist you will play a critical role in driving data-driven decision-making across our investment strategies, portfolio management, and risk platform. You will work closely with our verticals, business intelligence analysts, data engineers, and other stakeholders to design, develop and deploy data-driven solutions that drive investment decisions and facilitate improved operational outcome at our portfolio companies. You will have the opportunity to bring your ideas to life by building on a foundation of strong internal support, clear vision, engaged users and bright, kind teammates.Analytical Insights: Conduct in-depth analysis of internal or portfolio company data for deep understanding of underlying linear (and non-linear) dynamical structures. Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues. Risk Analysis and Management: Work closely risk team to develop and apply data-driven risk models ML Ops: Collaborate with data engineers and engineers to design and implement data pipelines, design infrastructure, and enable continuous delivery of high-performing models in production. Product Management: Work with vertical teams and portfolio company users to identify and concisely describe issues to solve, and subsequently translate and document these in terms of scope and functional requirements. Collaboration and Communication: Work closely with cross-functional teams, enabling clear communication and broad understanding of models applied and interpretation of results. Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis. RequirementsEducation: Bachelor's degree in relevant STEM field (e.g., Physics, Mathematics, Data Science, Computer Science); Master's degree preferred. Experience: At least 3-7 years of experience in a data science role Skills: Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models Strong programming skills in Python (or R or Julia) and SQL Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.) Working knowledge bringing models to production Experience with data modeling, data warehousing, and ELT processes Excellent communication and presentation skills Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) - and associated ML platforms (e.g., SageMaker, Vertex) Nice to HaveMonte Carlo Simulation: Experience building Monte Carlo models for time series simulation; experience with VAR or similar a plus. Domain Expertise: Experience with the analysis or application of data in finance or economics - specific experience with real assets a plus Salary Range:Estimated base salary range for this position is: $135,000-$215,000. Employees may also be eligible for an annual discretionary incentive compensation award. Actual base salary may vary based upon, but not limited to, relevant skills, experience, qualifications, and geographic locationBenefitsHealth Care Plan (Medical, Dental & Vision)Retirement Plan (401k, IRA)Life Insurance (Basic, Voluntary & AD&D)Paid Time Off (Vacation, Sick & Public Holidays)Family Leave (Maternity, Paternity)Short Term & Long Term DisabilityTraining & DevelopmentHybrid Workplace Free Food & SnacksWellness Resources",Entry level,Data Scientist
+383,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.AboutThe Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where """"there are no hard-to-sell, overpriced products.""""Responsibilities Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition. Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow. Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.QualificationsMinimum Qualifications Bachelor or advanced degree in computer science or a related technical discipline. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.Preferred Qualifications 3+ years of work experience in machine learning. Good product sense with a focus on user experience. Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $112000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer - Search Recommendation, E-commerce"
+384,2025-04-09,Seattle,Washington,Edo,https://www.edoenergy.com/,"Edo is a leading provider of innovative energy efficiency and demand flexibility solutions. We partner with utilities to transform commercial buildings into efficient, reliable contributors to the electric grid. Utilities rely on Edo’s virtual power plants and AI-driven technology to optimize thousands of buildings and aggregate distributed energy resources. Edo’s technology and expertise improve energy consumption, reduce costs, and cut carbon emissions for a sustainable future. ","Edo partners with utilities to transform commercial buildings into efficient contributors to the electric grid. We have a bold vision: a future where clean energy is reliable, affordable, and empowers communities everywhere. The energy sector is undergoing its most dramatic transformation in decades, with the U.S. power grid being reimagined to meet evolving technological, environmental, and economic needs. Edo develops innovative energy efficiency and demand flexibility solutions that help utilities and building owners navigate this shift while ensuring grid reliability and operational efficiency. Let’s shape the future of energy together.The Opportunity with EdoWe are looking for a Machine Learning Engineer to join Edo’s R&D team, where you will develop tools to optimize energy use in buildings and implement novel control sequences to shift and shed electrical load in buildings. You will work closely with Edo’s Software Development team to deploy trained models into production; and you will work closely with Edo’s Operations team to evaluate building performance trends and identify measures to improve energy efficiency and occupant comfort.Ideally, you will have industry experience developing production-ready machine learning models and a strong theoretical understanding of machine learning concepts (statistics, time series analysis and forecasting, and optimization). Exceptional candidates will also have experience evaluating energy use in commercial buildings, including HVAC sequences of operation and onsite distributed energy resources (DERs).Our solutions operate on large streaming data sets, and you will gain experience deploying models in the cloud and on edge devices. You will also work closely with domain experts to build a deep understanding of the electricity grid, commercial building optimization, and opportunities for developing sustainable energy systems.What we want you to do:Develop and extend frameworks for time-series analysis and fault detection.Develop and improve machine learning algorithms for energy forecasting and optimal control.Develop automated methods for tuning machine learning models and retraining as necessary.Develop and extend inhouse python visualizations libraries for evaluating the performance of machine learning models.What we would like to see from you:Degree in Engineering, Physics, Computer Science, or a closely related quantitative field.Two or more years of experience conducting timeseries data analysis and developing machine learning models.Experience with machine learning techniques, including: data cleaning and imputation, feature selection, hyperparameter tuning, ensemble modeling, and error analysis.Experience deploying machine leaning models to production using Azure, Amazon Web Services, or similar.Excellent communication skills with the ability to engage both technical and non-technical audiences.Strong Python programming skills.What we’d like to see (but not required):Experience with SQL and/or time series databases.Experience with data visualization in python.Experience using AzureML to train, deploy and evaluate machine learning model performance at scale.Experience with physics-informed machine learning.Experience modeling energy use and/or controls in commercial buildings.PeopleFirst BenefitsWhen it comes to the basics, we have you covered:Competitive pay401(k) with employer match and profit-sharing planPaid time off and holidaysComprehensive medical, prescription, dental, and vision with low or zero deductible options and low out of pocket maximumsPeople come first at Edo, and we go beyond the basic benefits with:Family formation benefits, including adoption and IVF assistanceUp to 16 weeks paid parental leaveTransgender inclusive benefitsCommuter benefitsPet insurance“Building Good” paid community service timeLearning and advancement opportunities via McKinstry UniversityMcKinstry Moves onsite gyms or reimbursement for remote workersSee benefit plan documents for complete details.If you’re driven by our vision to build a thriving planet together, Edo is the place to build your career.The pay range for this position is $102,600 - $164,700 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Base pay information is based on market location. A bonus may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.Edo is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and qualified applicants without regard to sex, gender identity, sexual orientation, age, race, color, creed, marital status, national origin, disability, veteran status, genetic information or any other basis protected by law. This policy applies to all terms and conditions of employment including, but not limited to employment, advancement, assignment, and training. This commitment to Equal Employment Opportunity is made equally as a social responsibility and as an economic and business necessity. Edo is a drug-free workplace. Employment is contingent upon successfully passing a pre-employment drug and alcohol test, complying with the requirements of the Immigration Reform and Control Act and a Confidentiality Agreement, in addition to successful outcomes of background and reference checks. Applicants for this role will only be considered if they possess current US Work Authorization, and do not require employer-sponsored VISA support to begin or remain in this role.",Not Applicable,Machine Learning Engineer
+385,2025-04-01,Tampa,Florida,Gerdau North America,http://www.gerdau.com,"In North America, Gerdau manufactures merchant bar, structural steel, piling, special bar quality and rebar products for the agricultural, automotive, civil construction, distribution, energy, industrial, and mining markets.","Empowering people who build the future.BASIC FUNCTION (Primary Purpose)Build models and perform analysis with advanced Analytics techniques delivering models and extract relevant data to solve analytical problems. Good understand of descriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, Optimization, Data visualization, Pattern, cluster, segmentation analysis.Primary Duties & Responsibilities%Description Of Duty/responsibility80%Performs research, analysis, and modeling on organizational data.Ensure Analytics model quality assurance and validate them (peer validation)Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questionsDefine model monitoring criteriaProvides findings and analysis for use in decision making20%Develop Analytics best practices (models, standards, tools) Manage Analytics project pipeline and track Analytics impact on businessMonitor marketManage idea generation for patent developmentScopeMines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making. design, build and implement analytical solutions. Work closely with project teams and act as a Data Science & Advanced Analytics expert. Overall role in helping to drive global improvements based on qualitative data and by investigating various topics and sharing insights to a broader audience.Qualifications And Educational Requirement(s)Bachelor’s degree in a related area and 3 years of experienceExtensive knowledge of industry perspective and ability to translate business needs into dataAnalytical skillsDescriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, Optimization, Data visualization, Pattern, cluster, segmentation analysisExperience with analytical tools and languages - E.g. Python, SageMaker, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, PowerBI, Alteryx, Qlikview, Rapid Miner, Visual Basic, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, SQL language or SQL-likeGerdau believes in equal employment opportunity related to all employees and applicants for employment. It is the policy of Gerdau that there will be no discrimination against any employee or applicant for employment on the basis of race, religion, color, national origin, citizenship, marital status, sex, age, sexual orientation, genetic information, gender identity, veteran status, disability, or other legally protected status. All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship. If you are vision-impaired or have some other disability under the Americans with Disabilities Act / Accessible Canada Act or a similar law, and you wish to discuss potential accommodations related to applying for employment at Gerdau, please contact our Talent Acquisition Team at (866)-788-2798 or recruiting@gerdau.com",Entry level,Data Scientist
+386,2025-04-05,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.SMB engineering team is responsible for developing software to empower all small and medium businesses to succeed by building scalable platforms, seamless products and comprehensive solutions. In the next few years, while SMB revenue will be the significant portion of total ads business, as an engineering team, we also dedicate ourselves to solving challenging but interesting problems in a more scalable and innovative way through advanced software architecture, engineering practice and cutting-edge algorithms. At the same time, we closely work with strategies, data scientists, product managers, operations and sales teams. Diversity in skills, culture and background is our source of power.We are looking for machine learning engineers who are passionate about innovating, creating and evolving scalable and reliable software, architecture and technical solutions to systematically and aggressively enable our SMB customers' success and grow our company's revenue. You will work on many different challenging problems, such as creative recommendation, ads delivery, personalized coupons, LLM-based customer support, etc.Responsibilities: Responsible for building the growth algorithm of TikTok Monetization, including the acquisition, conversion, and resurrection of advertisers. Participate in the optimization of TikTok Monetization delivery system, including targeting, recall, and ranking. Responsible for the construction of TikTok Monetization intelligence service, exploring the application of large language models.QualificationsMinimum Qualifications: Master's degree in Computer Science, Engineering, Mathematics, or a related field. Experience with machine learning, in either an academic or industrial setting. Strong knowledge of machine learning algorithms and techniques, including natural language processing, computer vision, click-through rate prediction, etc. Proficiency in programming languages such as Python, C++, Go, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, or scikit-learn). Experience with big data technologies, such as Hadoop, Spark, or Hive. Strong analytical and problem-solving skills, with the ability to develop creative solutions to complex problems. Very strong teamwork skills (e.g. communication, collaboration, ownership, empathy, honesty).Preferred Qualifications: PhD in Computer Science, Engineering, Mathematics, or a related field. Have relevant experience in Growth, Search, Advertising, Recommendation and AIGC industries.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $129960 - $194750 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, SMB"
+387,2025-04-06,San Francisco,CA,Stitch Fix,https://stitchfix.com,"Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. 
+
+Stitch Fix is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. 
+
+Through our team of expert stylists and best-in-class AI and recommendation algorithms, we leverage our assortment of exclusive and national brands to meet each client’s individual tastes and needs, making it convenient for our clients to express their personal style without having to spend hours in stores or sifting through endless choices online. 
+
+Stitch Fix, which was founded in 2011, is headquartered in San Francisco.  ","About Stitch Fix, Inc.Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco.About The TeamAt Stitch Fix, our data science teams combine machine learning algorithms with expert human judgment to deliver personalized recommendations, transforming how clients discover their preferred styles. The Foundational Models team focuses on developing the core recommender system, which not only personalizes the client experience but also informs merchandising strategies. The team’s goal is to enhance business outcomes by improving model performance while ensuring optimal latency, uptime, and cost efficiency. Additionally, the team collaborates closely with partner teams to refine feedback mechanisms and playback initiatives.About The RoleIn this role, you will be building the next generation ML systems that transform the way people find what they love. As a Machine Learning Engineer, your focus will be on building, production-izing and scaling of machine learning models, and promoting engineering excellence. You will have the opportunity to work with data scientists and engineers, as well as lead work cross-functionally with Strategy, Product, Merchandising, Marketing, and Engineering partners to build and enhance those capabilities.You're Excited About This Opportunity Because You Will…Bring your engineering excellence to improve how we serve real time recommendations in production at scale.Make a substantial impact on personalization across multiple dimensions by creating the infrastructure that allows us to build the next generation of recommendation systemsCollaborate with data scientists on a variety of sophisticated machine learning algorithmsWork closely with partners in ML Platform Eng, Engineering, Product and Merchandising teamsBe empowered to take initiative and follow your innate curiosityWe’re Excited About You Because…You have experience building, deploying and maintaining high performing, resilient, and scalable real time machine learning systemsYou are familiar with the fundamentals of ML in at least one of these areas: supervised learning, recommendation systems, or deep learning.You are familiar with Python and modern ML frameworks such as PyTorch or TensorFlow.You are a clear communicator who can get buy-in from partners and you are excited to be part of a teamYou are curious, inspired to take on new challenges and calculated risks.You’re happiest as a team player, able to balance time against multiple systems and work streams with defined objectivesWhy you'll love working at Stitch Fix...We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.We cultivate a community of diverse perspectives— all voices are heard and valued.We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. We win as a team, commit to our work, and celebrate grit together because we value strong relationships.We boldly create the future while keeping equity and sustainability at the center of all that we do. We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.We offer comprehensive compensation packages and inclusive health and wellness benefits.Compensation And BenefitsThis role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.Salary Range$153,700—$226,000 USDThis link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policyRecruiting Fraud Alert:To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.You can read more about Recruiting Scam Awareness on our FAQ page here: https://support.stitchfix.com/hc/en-us/articles/1500007169402-Recruiting-Scam-Awareness",Mid-Senior level,Machine Learning Engineer - Foundational Models
+388,2025-04-07,.,.,Evolve Group,http://www.evolvegrp.io,"Uncovering alpha in Quant Talent.
+
+Evolve is a strategic talent partner to several of the highest performing hedge funds, investment banks and asset managers globally. We are their go to force multiplier for Quantitative and trade technology talent. 
+
+By solving one of the hardest challenges of today - Talent -  we create a competitive advantage for our clients. Leveraging best in class tools, tech and outreach we discover and secure some of the best technical minds in the world. 
+
+We provide Search, Multi-hire and TaaS solutions globally. We believe the key to success lies in building great teams hence - People is our strategy. 
+
+
+Specialisms: High-Frequency Trading, Quantitative Development, Quantitative Research, Systematic Trading, Low Latency infrastructure, Algorithmic Trading, Fintech, Hedge Funds, Prop Trading, Electronic Trading, Market Making, Quantitative Development, Quantitative Research, C++, Low-Level, FX, Futures, Fixed Income, Equities, Commodities.","Machine Learning EngineerTech start-upSan Fransisco basedWe’ve partnered with one of the most ambitious and technically rigorous AI research labs in the world. Based in San Francisco, this team is building foundation models entirely from scratch.They are now hiring ML Infrastructure Engineers to design and scale the systems that power large-scale, distributed model training. If you’ve built infrastructure that runs across hundreds of GPUs, thrive under technical complexity, and want to work side-by-side with elite AI researchers — this is the role.Key Responsibilities:Build and scale distributed training systems for large-scale model training across LLMs, vision, and robotics.Set up and run large-scale training across many GPUs using tools like Kubernetes, DeepSpeed, and FSDP.Troubleshoot system issues (GPU errors, network problems) and build tools to monitor and recover from failures.Optimize PyTorch pipelines, sharding, and sampling strategies.Collaborate closely with researchers to support novel model training at scale.Requirements:5–15 years in ML infrastructure, systems, or research engineering roles.Proven experience scaling distributed training for large models.Strong with PyTorch, CUDA, NCCL, Kubernetes.Familiar with setting up distributed training clusters.Deep understanding of PyTorch dataloaders, data sharding, and sampling.Strong communicator with a collaborative, mission-driven mindset.This is a fully in-person role based in San Francisco, it's ideal for engineers excited to build at the edge of what's possible in AI.",Mid-Senior level,Machine Learning Engineer
+389,2025-04-09,,,LogicMatrix,,"Become part of a thriving community of creators. Join the 10,000+ developers building with LogicMatrix AI. hashtag#CodingCommunity hashtag#SoftwareCreators hashtag#LogicMatrixAI","Data Scientist (Python) - Minimum 5 years of experience is required.Candidates must be authorized to work in the United States full-time.Who You Are: You are a mid-level data scientist with 3+ years of experience in Python. You have expertise in machine learning and data analysis.What You Will Do:Develop and implement machine learning models.Analyze large datasets and extract insights.Conduct data exploration and visualization.Collaborate with engineers and product managers.Communicate findings and recommendations.Stay up-to-date with the latest data science trends.Build and maintain data pipelines.Requirements:5+ years of experience in data science.Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn).Experience with machine learning algorithms and techniques.Knowledge of data visualization tools (Matplotlib, Seaborn).Strong analytical and problem-solving skills.Good communication and presentation skills.",Not Applicable,Data Scientist (Python)
+390,2025-03-24,Burbank,California,Zest AI,http://zest.ai,"Since 2009, Zest AI has been pioneering and perfecting AI technology with a mission to broaden access to lending using smarter, more efficient AI. 
+Serving more than $5.6T in managed assets with over 600 active models, Zest AI has been a proven partner to banks, credit unions, and specialty lenders, helping them decrease risk and boost growth opportunities throughout the lending process. 
+
+Zest AI leads the industry, powering thriving lending ecosystems with innovative, intelligent solutions across marketing, underwriting, fraud detection, lending intelligence, and more. With over 50 issued and pending patents across automation, accuracy, performance, and model explainability, this US-based technology-as-a-service company serves its clients from its headquarters in Los Angeles, California, and across the country.","Founded in 2009, Zest AI has been pioneering innovative AI technology with a mission to expand credit access to create opportunities for more Americans to pursue their financial goals. Zest AI is transforming the $17 trillion US consumer credit market by delivering AI technology that helps lenders identify creditworthy borrowers overlooked by traditional methods, while leveling the playing field so financial institutions of all sizes can harness AI to provide better lending experiences.With over 50 issued and pending patents across automation, accuracy, performance, and model explainability, Zest AI is a leader in financial technology, providing financial institutions with AI tools that create a more resilient US financial system and a stronger U.S. economy. With over 600 active AI models, financial institutions rely on Zest AI's comprehensive suite of solutions spanning marketing, underwriting, fraud detection, lending intelligence, and more to make smarter lending decisions while improving profitability. This US-based technology as a service company is headquartered in Los Angeles, California.Machine Learning Engineers at Zest AI build software that enables our customers to quickly create, adopt, and operate machine learning models in production. For example, some work might be focused on scale (automating model builds/deployments), while other work might be addressing a specific capability (better model power, clearer model explainability, more desirable fairer model alternatives).In this role you will: Lead end-to-end development efforts for complex ML/AI-powered solutions—from ideation through deployment—ensuring scalability, reliability, and maintainability.Design experiments/prototypes with cutting-edge techniques aimed at advancing both internal capabilities (e.g., automation pipelines) as well as customer-facing products.Collaborate cross-functionally with product management, sales/engagement management teams, data scientists/researchers—and provide thought leadership on how best-in-class ML technologies can address business challenges.Mentor junior engineers by providing guidance on technical design reviews/code quality standards/best practices.Build sophisticated internal tooling frameworks enabling seamless integration between analytics platforms & operationalized models used across departments/customers.Stay ahead-of-the curve regarding emerging trends within artificial intelligence/machine-learning research fields actively applying them where appropriate toward innovation opportunities aligned w/business objectivesWe are looking for: MS or PhD in a quantitative field (Computer Science, Engineering, Physics, etc.).2+ years of professional hands-on experience, with strong fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required.Familiar with ML/AI frameworks (Pandas, XGBoost, Scikit-learn, etc.), and modular/modern OOP software design practices.Good development practices/ability regarding memory, disk I/O, and CPU/GPU management.History of research publications and/or implementations of state of the art techniques - preferably viewable through open source channels (arXiv, GitHub, etc.).Passionate about ML/AI and how it can improve the world.Perks and benefits:All Zestys experience:The opportunity to join a mission-focused companyPeople – the best part of ZestRobust medical, dental and vision insurance plansAnnual bonus plan participation401(k) with generous matchEmployee Awards and Recognition11 company holidaysWinter break (office closed between Christmas and New Year's Day)Unlimited vacation timeEmployee Resource GroupsGenerous family leave policy (12 week maternity leave / 6 week paternity leave)Phone, internet, wellness, and professional development allowancesEmployee gatherings, including Town Hall meetingsAdditionally, our Burbank, CA area, hybrid model Zestys enjoy:Beautiful, modern, dog-friendly office with lounge areas, video games, and gigantic jigsaw puzzlesDaily catered lunches from LA’s best restaurants and a fully stocked kitchenComplimentary manicures, pedicures, and mindfulness sessionsCompany happy hours, social events, outings, and much more!About Zest AI:Creating a diverse and inclusive culture where all are welcomed, valued, and empowered to achieve our full potential is important to who we are and where we’re headed in the future. We know that unique backgrounds, experiences, and perspectives help us think bigger, spark innovation, and succeed together. Zest is committed to diversity, equity, and inclusion and encourages professionals from underrepresented groups in technology and financial services to apply.Our core values are Communication, Collaboration, Bias for Action, Client-centricity, and Heart. Learn more at Zest.ai, follow us on LinkedIn (linkedin.com/company/zest-ai/) or Twitter @Zest_AI, or check out our Insights blog (https://www.zest.ai/cms/insights).",Mid-Senior level,Senior Machine Learning Engineer
+391,2025-03-24,San Francisco,California,Latent,https://latenthealth.com,"At Latent, we're building medical language models to tackle the trillions of operational overhead weighing down healthcare. Our flagship product streamlines insurance authorization by analyzing EHR records and surfacing the most relevant data.
+
+We work with some of the largest health systems in the US.","Latent is working on unsolved problems concerning the robust and reliable integration of Medical Intelligence. Health systems across the US trust our multi-modal search platform to answer highly sensitive questions over patient data. Additionally, we offer next-generation question answering, pushing the boundaries of SOTA in medical QA. By analyzing EHR records, our flagship product surfaces the most relevant data, reducing operational overhead in healthcare.You Might Work On These Types Of ProblemsFine-tuning large OSS models with novel QA techniquesExtractive highlighting over patient notesMulti-modal clinical embeddingsTake a model from inception → training → validation → serving at scale and speed!This role is full-time and onsite in our SF office.QualificationsMasters or PhD in Computer Science OR an adjacent STEM degree OR equivalent experience with research & deploying language modelsExperience with Python and ML frameworks like PyTorch and TensorflowExperience fine-tuning LLMsExperience taking ML systems from training to productionBonus: Experience working in small, fast-paced environments and contributions to ML research papersWhat We ValueA demonstrated history of excellence in your personal and/or professional endeavorsRobust experience delivering impactful software projects that involve engineering skills across the stackCollaboration and excellent communication skills driven by logical coherence, openness, and curiosityA proactive approach to identifying & solving problems with minimal oversightAn extremely strong work ethic and a commitment to quality and detailWhy You Should Join UsStrong backing from investors like General Catalyst, Conviction and YCBest-in-class technical team that is deeply mission alignedHave a huge impact on a small team with lots of green space for growthWe're contracted with the nation’s top hospital systemsCompetitive salary and equity compensationExcellent benefits and versatile health, dental, and vision coverage plansPaid parental leaveUnlimited PTO",Entry level,Machine Learning Engineer
+392,2025-04-09,Santiago,Chile,NotCo,https://tech.notco.com/,"We are a Food-Tech that develop AI technology to create elevated food with unique tastes, functional &/or nutritional benefits.  We also leverage our technology for external CPG clients to create market-winning product innovation, formulations and flavors. 
+","Hi! This is NotCo.We are a group of people united by a very strong purpose.We want you to get to know us, and Giuseppe, our very own artificial intelligence.We love good food, but above all, we love the planet, and that's why, to protect it, we reinvent the food industry, one delicious bite at a time, elevating what we eat, through our technology and based on plants.Our recipe has three super important components: science, technology and of course, disruptive talents who work daily to create a better future.At NotCo we are not and do not seek to be the perfect company, but rather the right one. We've built a new AI that transforms the way people and companies create food.We are currently looking for a Machine Learning Engineer VI. This position is located in the San Francisco area.As a Machine Learning Engineer, you will be part of the NotCo AI group. You will work with a multifaceted team of ML & Software Engineers, UI/UX Designers, Experimental Chefs, and Food Scientists to revolutionize the way plant-based and sustainable foods are created. Our tech platform utilizes predictive & generative models, optimization algorithms, as well as in-house data warehousing infrastructure that allows us to relate nutritional, physicochemical, and molecular data to find new discoveries for novel plant-based products.Role & Responsibilities:Research, develop, and deploy machine learning systems onto the Giuseppe platform for food science & technology applications.Brainstorm with Experimental Chefs & Food Scientists to find data and ML-driven solutions for problems arising with new product development. We develop products ranging from plant-based milks to plant-based meats, so there are always engaging challenges to solve.Lead new machine learning initiatives end-to-end, from proposal to deployment. This requires having strong research, project management & communications skills and the potential to lead a small team.Analyze and debug issues with currently deployed models & suggest improvements to data, algorithms, or workflows.Identify new datasets that could help improve the performance of current algorithms.Read & implement recent ML papers that are relevant to our scope of work (e.g. implement a self-supervised algorithm proposed in a 2020 ICML paper).Dive into the domain of food science: be interested in learning about proteins, volatile molecules & the food industry in general.Contribute in general to department and organization projects.Requirements:BS/MS in Computer Science or a related field with a focus on machine learningML-focused Bioengineers or Analytical Chemistry backgrounds are also urged to apply5+ years of working experience in an Applied Machine Learning groupStrong data science analytical skills with a traditional data science and Deep Learning stack (Python, PyTorch, Pandas, NumPy, SciPy, Scikit-learn, Jupyter, Matplotlib, Hugging Face, LangChain, Polars, etc.)Strong background in software engineering, unit & functional testing (Python, unittest, nose)Prior experience with implementing & training Deep Learning models; prior experience with training models on cloud infrastructure on GPU/TPUFamiliarity with model packaging & deployment (Docke, Kubernetes, Google Cloud Platform)In-depth knowledge in one or several of the following areas preferred: Representational Learning, Generative Models, Transformers, bandit algorithms & convex optimizersAuthorization to work in the U.S. required.NotCo is committed to fair and equitable compensation practices. The pay range for this role is $150,000 - $200,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.If you share our vision and are eager to contribute to a transformative journey, we invite you to apply. Join us and make a difference!The million-dollar question: Are you hungry to change the world? Because there are plenty of reasons to make the decision and say: WHY NOT!Today you can start making a difference for the planet, without changing everything you love.We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.",Mid-Senior level,Machine Learning Engineer VI
+393,2025-03-11,Honolulu,Hawaii,AEP Hawaii,http://www.aephawaii.com,"AEP Hawaii specializes in building elite teams of executive, technology, finance & cleared professionals in Hawaii and the West Coast.
+
+Our goal is to build a better future for Hawaii's economy by creating higher paying jobs for our talent community.
+
+We are known for bringing Kama'aina back home to Hawaii, and have proven success partnering with start-ups, enterprise organizations, federal contractors, and state agencies.
+
+AEP serves as the bridge for the next generation in the Hawaii market. 
+
+Executive & Retained Search
+Cleared Staffing & Subcontracting
+Consulting Solutions
+Project & Program Management
+Diversity Hiring
+
+AEP is a certified Minority Business Enterprise (MBE) 
+
+NAICS 561312
+
+Reach out directly at 808-349-1611 or talent@aephawaii.com to find talent or explore careers.","AEP Hawaii is hiring a remote Senior Machine Learning Engineer to join our early-stage SaaS startup client. This is a critical role focusing on building machine learning solutions for customer retention within a SaaS environment. 180-200K base salary + equity Required Experience7+ years of professional experience developing production ML systems, including model deployment, monitoring, and maintenance in production environments.Strong background in statistical analysis and mathematical modelingAdvanced proficiency in R, including expertise with packages such as data.table, glmnet, xgboost, randomForest, ggplot, and other advanced data manipulation and modeling libraries.Experience with Python ML ecosystem (pandas, NumPy, SciPy, scikit-learn).Deep understanding of, and experience with software engineering best practices (version control, CI/CD, testing)Proficiency with cloud platforms (AWS, GCP)ResponsibilitiesArchitect, develop, and optimize advanced machine learning solutions within our frameworkLead the unification of disparate ML components into a cohesive ecosystemDesign and implement scalable ML pipelines that meet production requirementsDevelop sophisticated statistical models using R for data analysis and predictive modelingCollaborate with cross-functional teams to understand business requirements and translate them into technical solutionsEducationPh.D. in Computer Science, Statistics, Applied Mathematics, or related field requiredExceptional candidates with a Master's degree and outstanding experience will be consideredPreferred QualificationsContributions to R packages or the R ecosystemExperience with systems integration and API designHistory of technical leadership in previous rolesIntangiblesDriven to deliver results; mature understanding of tradeoffs necessary to meet deadlines.Exceptional problem-solving abilities and attention to detail.Excellent written and verbal communication skills, with the ability to explain complex concepts to technical and non-technical stakeholdersSelf-motivated with the discipline to work effectively in a remote environmentComfort with ambiguity; ability to make decisions with incomplete information",Mid-Senior level,Machine Learning Engineer
+394,2025-04-03,New York,,Hinge,http://hinge.co,"Hinge is the dating app designed to be deleted. In today’s digital world, singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and going on dates. Hinge is on a mission to change that by designing the most effective app experience. We want to create a less lonely world by inspiring intimate, in-person connections. Relationships are at the core of everything we do. And not just the romantic kind. We can't accomplish really hard things alone - so we make great relationships the foundation of our teamwork. 
+
+We believe these three core values are what it takes to build those great relationships: Authenticity, we share - never hide - our words, actions, and intentions. Courage, breakthroughs require a willingness to take risks and embrace lofty goals and tough challenges. Empathy, we're all humans first. So we deeply consider the perspectives of others, listen openly, and speak with care. 
+
+We're mission-driven. While most apps think about boosting sessions and time on app, we think strategically about meaningful end results (dates and relationships). 
+
+We're culture-first. We believe in great people over process.  Decisions are pushed to the front lines, with feedback and coaching provided by our leaders.","Hinge is the dating app designed to be deletedIn today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.About the Role: The Dating Outcomes group is responsible for ensuring people see their most compatible matches, helping them better present themselves, and even starting a conversation when they match with someone. In short, we help people go on dates!We are hiring ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data. You can expect to work on recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users' experience. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge.ResponsibilitiesOwn and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelinesContribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models)Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementallyCollaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment processMentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scalePerform other job-related duties as assignedWhat We're Looking ForStrong programming skills: Proficiency in languages like Python, Java or C++System design & architecture: Proven track record of training and deploying large scale ML models specially DNNs. Good understanding of distributed computing for learning and inferenceCloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plusML knowledge: Deep understanding of DNN architectures, track record of building, debugging and fine tuning models. Familiarity with PyTorch, TF, knowledge distillation, recommender systems are a plusDev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Kubenetes and TerraformData engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and AirflowCollaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.Strong written communication: The ability to communicate complex ideas and technical knowledge through documentationSoftware leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes3+ years of experience, depending on education, as an MLE2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes1+ year of experience leading projects with at least 1 other team member through completion2+ years of experience for designing and developing online and production grade ML systemsA degree in computer science, engineering, or a related fieldAs a member of our team, you’ll enjoy:401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.Professional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible.Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community.At Hinge, our core values are…Authenticity: We share, never hide, our words, actions and intentions.Courage: We embrace lofty goals and tough challenges.Empathy: We deeply consider the perspective of others.Diversity inspires innovationHinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge",Not Applicable,Machine Learning Engineer
+395,2025-03-21,New York,,Baselayer,Baselayer.com,"Baselayer empowers over 2,000 financial institutions and government agencies to trust the small and medium-sized businesses they serve. 
+
+We use proprietary machine learning to search government records, the web, and private databases to answer questions about Compliance, Risk, or Fraud about any business in the United States.
+
+Our solution suite includes tools for identity verification (Know Your Business), enhanced due diligence, fraud prevention, risk profiling, lien filing, and portfolio monitoring. Our platform also offers unique credit stacking capabilities and an advanced repeat fraud prevention system.
+
+Baselayer is integrated into companies with over 30 million accounts, rating and verifying real-time applications. 
+
+Baselayer.com","About Baselayer: With experience across far-ranging banks, Fortune 500 tech co’s, fintech unicorns 🦄, and AI experts, Baselayer is built by financial institutions, for financial institutions. Started in 2023 by experienced founders Jonathan Awad and Timothy Hyde, Baselayer has raised $20 Million and hit $2 Million in ARR faster than any other identity company in history. Today more than 2,000 Financial Institutions and Government Agency customers later, Baselayer is revolutionizing the way businesses approach fraud prevention and compliance. 🏆Check out their press release here → https://baselayerhq.com/press/About You: You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win—you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions.You have 1-3 years of experience in machine learning development, working with Python and building ML modelsYou're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systemsYou have a strong foundation in AI/ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniquesYou prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYBYou have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performanceYou thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstractionProblem-solver who navigates the unknown confidentlyProactive self-starter who thrives in dynamic settingsIncredibly intelligent and clever. You take pride in your modelsHighly feedback-oriented. We believe in radical candor and using feedback to get to the next levelResponsibilitiesModel Development & Integration: Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM spaceML System Design: Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use casesData Processing & Feature Engineering: Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional dataAdvanced ML Techniques: Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity spaceML Infrastructure: Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued innovationModel Governance & Compliance: Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulationsPerformance Optimization: Implement optimizations for model inference and training, ensuring ML services can efficiently process identity data while maintaining reliabilityExperimentation & Evaluation: Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use casesBenefitsHybrid in SF. In office 3 days/weekFlexible PTOHealthcare, 401KSmart, genuine, ambitious teamStart date: JuneSalary Range: $150k – $225k + Equity - 0.05% – 0.25%",Entry level,Machine Learning Engineer
+396,2024-12-03,Menlo Park,California,Pathway,https://www.pathway.com,"Pathway is building live AI systems that think and learn in real-time as humans do. Underpinned by the fastest data processing engine on the market and an AI framework, it lays the foundations for an organization’s full and evolving AI transformation journey without the need for re-platforming. Pathway is trusted by the likes of NATO, La Poste and Formula 1 racing teams. 
+
+Headed by co-founder & CEO, Zuzanna Stamirowska, the team’s leading AI experts include co-founder & CTO Jan Chorowski, co-author of the Nobel Prize winner, Geoff Hinton. Pathway is backed by Business Angel Lukasz Kaiser, who co-authored Transformers (the “T” in ChatGPT) and is the key researcher behind GPT o1 from OpenAI.","About PathwayPathway is an enabler for Live AI, allowing organizations to run contextualized ML models connected to ever-changing enterprise data. In addition to being an infrastructure provider delivering an AI framework, we are working to advance the state-of-the-art.This is an R&D position in attention-based models. Pathway is VC-funded, with some amazing BAs (such as Lukasz Kaiser, co-inventer of Transformers). Pathway's CTO has co-authored papers with Goeff Hinton and Yoshua Bengio. We have just raised a $10M+ seed, with exciting developments ahead. The management team includes growth leaders who have scaled companies with multiple exits, and who have built online communities reaching millions of users.Out client portfolio is focused around mobility, IoT data, logs and transactions, and also includes larger actors such as NATO and national postal services. We have a vibrant community centered around our developer frameworks, with almost 10,000 stars on GitHub.Our offices are in Menlo Park, CA, as well as Paris, France and Wroclaw, Poland.The OpportunityWe are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research.This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum.You Willperform (distributed) model traininghelp improve/adapt model architectures based on experiment resultsdesign new tasks and experimentsoptionally: oversee activities of team members involved in data preparation. The results of your work will play a crucial role in the success of the project. RequirementsCover letterIt's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that.You are expected to meet at least one of the following criteria:You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU'sYou have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA)You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School. You Are A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply)Interested in improving foundational architectures and creating new benchmarksExperienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow) Have a good understanding of GPU architecture, memory design, and communicationHave a good understanding of graph algorithmsHave some familiarity with model monitoring, git, build systems, and CI/CD Respectful of others Fluent in English Bonus PointsKnowledge of approaches used in distributed trainingFamiliarity with TritonSuccessful track-record in algorithms & data science contestsShowing a code portfolioWhy You Should ApplyJoin an intellectually stimulating work environment Be a pioneer: you get to work with a new type of ""Live AI"" challenges around long sequences and changing dataBe part of one of an early-stage AI startup that believes in impactful research and foundational changesBenefits Type of contract: Full-time, permanent Preferable joining date: January 2025. The positions are open until filled - please apply immediately Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan Location: Remote work. Possibility to work or meet with other team members in one of our offices: Menlo Park, CA, Paris, France, or Wroclaw, Poland. As a general rule, permanent residence will be required in the EU, UK, US, or CanadaIf you meet our broad requirements but are missing some experience, don't hesitate to reach out to us.",Mid-Senior level,Machine Learning Researcher / Engineer (Foundational Models)
+397,2025-03-22,New York,NY,S&P Global,http://www.spglobal.com,"S&P Global provides governments, businesses, and individuals with market data, expertise, and technology solutions for confident decision-making. Our services span from global energy solutions to sustainable finance solutions. From helping our customers perform investment analysis to guiding them through sustainability and energy transition across supply chains, our solutions help unlock new opportunities and solve challenges.
+ 
+We are widely sought after by many of the world’s leading organizations to provide credit ratings, competitive benchmarking and data driven analytics in global capital markets, commodity, and automotive markets. Our divisions include S&P Global Market Intelligence, S&P Global Ratings, S&P Global Commodity Insights, S&P Global Mobility, S&P Dow Jones Indices, and the renowned S&P 500 index. Additionally, our S&P Global Sustainable1 brings sustainability benchmarking, analytics, and evaluations together, to help customers achieve their sustainability goals.
+ 
+See the latest research & insights at www.spglobal.com","Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and more.Kensho is looking for ML Engineer interns to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Extract. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production.Are you looking to leverage your teammates' diverse perspectives to solve hard problems? If so, we would love to help you excel here at Kensho. You will be working on a team with experienced engineers and have an opportunity to learn and grow. We take pride in our team-based, tightly-knit startup Kenshin community that provides our employees with a collaborative, communicative environment that allows us to tackle the biggest challenges in data. In addition, as an intern you will have the opportunity to attend technical and non-technical discussions as well as company wide social events.We value in-person collaboration, therefore interns are required to work out of the Cambridge HQ or our New York City office!Technologies & Tools We UseAgentic systems: Agentic Orchestration, Information Retrieval, LLM code generation, LLM tool utilization, Multi-modal Embeddings, Multi-turn Conversationality, Textual RAG systemsCore ML/AI: DGL, GNNs, HuggingFace, LightGBM, NVIDIA NeMo, PyTorch, SKLearn, Transformers, XGBoostData Exploration and Visualization: Jupyter, Matplotlib, Pandas, Weights & BiasesData Management and Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, Qdrant, S3, SQLiteDeployment & MLOps: Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, Kubernetes, Ray, vLLM, WhyLabsWhat You’ll DoAssist in conducting original work on large proprietary unstructured data and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value.Design, build, and maintain scalable production-ready ML systemsParticipate in the ML model lifecycle, from problem framing to training, deployment, and monitoring in productionPartner with our ML Operations team to deliver solutions for automating the ML model lifecycle, from technical design to implementationWork in a cross-functional team of ML Engineers, Product Managers, Designers, Backend & Frontend Engineers who are passionate about delivering exceptional productsWhat We Look ForOutstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine LearningExperience with advanced machine learning methodsStatistical knowledge, intuition, and experience modeling real dataExpertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)Demonstrated effective coding, documentation, and communication habitsStrong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.Job ID: 307256Posted On: 2024-12-20Location: Cambridge, Massachusetts, United States",Not Applicable,Machine Learning Engineer - Summer Intern 2025
+398,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The App Ads and Gaming team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering application ads on TikTok. Our mission is to push the boundaries of large-scale ads delivery systems and lead the innovations of TikTok's personalized online advertising. Hence, you'll have a chance to get deeply involved in our large-scale distributed systems and state-of-the-art machine-learning algorithms. As a Machine Learning Engineer on the App Ads & Gaming team, you will make efforts to develop novel machine learning solutions for ranking, build scalable foundations, and launch various products that maximize the efficiency of deep funnel app ads delivery.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Key Responsibilities Work on developing a large-scale App Ads delivery system to improve accuracy. Explore multi-stage ranking models, conduct data analysis, and develop feature engineering. Participate in the innovations of core App Ads systems using machine learning models, ranking algorithms, etc. Partner with product managers, data scientists, and product strategy & operation team to launch new App Ads, products, and features.QualificationsMinimum Qualifications: BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages, including but not limited to Go, C/C++, and Python. Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics. Curiosity toward new technologies and entrepreneurship.Preferred Qualification Experience with recommender system projects. Experience with applying machine learning methods for ranking.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $112000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (App Ads and Gaming Team) - 2025 Start (BS/MS)
+399,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate Data-Search - TikTok.US - San Jose) - 2025 Start (BS/MS)
+400,2025-03-21,San Francisco,California,Notion,https://notion.com,"Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes? With Notion, they're all in one place, and totally customizable to meet the needs of any workflow. It's the all-in-one workspace for you, your team, and your whole company. 
+
+We humans are toolmakers by nature, but most of us can't build or modify the software we use every day — arguably our most powerful tool. Our team at Notion is on a mission to make it possible for everyone to shape the tools that shape their lives.","About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.About The RoleYou’ll join a team of talented engineers who will design and own foundational data capabilities that are key to the company’s business and product. Notion’s data platform and infrastructure are vital to both empowering every team at Notion to make decisions using data and experimentation, and enabling our product features, like search, user notifications, workspace analytics and Notion AI. We are hiring engineers across multiple levels.What You'll AchieveYou'll work cross-functionally with partners from the Data Science, Data Engineering, AI, Product, Go-to-Market, Legal and Finance organizations to deliver short- and long-term impactYou’ll help in influencing / executing the roadmap for data infrastructure and systems to power high volume product features using Notion’s data.You'll play a pivotal role in the development of tools and infrastructure that democratize data access and enable analytics capabilities across the organizationYou'll determine the best ways to handle Notion's unique data model and usage patterns to derive insights and bring intelligence to product features like search and discovery.Skills You'll Need To BringYou have experience with big data ingestion, compute, and storage systems based on Spark, Kafka, Flink, and data lake and data warehouse technologies.You have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house).You've experienced the challenges of scaling and re-architecting data platforms and infrastructure through orders of magnitude of growth and scaling data volume.Nice To HavesYou've built out data infrastructure from, or nearly from, scratch at a fast-growing startup.You've led a Data Platform / Infrastructure / Data Engineering Team.You have experience building MLOps and ML serving infrastructure.Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $220,000 - $298,000 per year.By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.",Not Applicable,"Software Engineer, Data Platform"
+401,2025-03-24,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2935863",Not Applicable,"Machine Learning Engineer, AGIF | Finetuning"
+402,2024-11-26,,,Hugging Face,https://huggingface.co,The AI community building the future.,"At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the RoleHugging Face maintains a large collection of open source machine learning libraries, including transformers, diffusers, and datasets, just to name a few. However, these are all implemented in Python, meaning they aren't as easily accessible to JavaScript/TypeScript developers. So, in order to grow the Hugging Face ecosystem, we decided to build projects like transformers.js and huggingface.js with the primary goal of bridging the gap between web development and machine learning. WebML (Web Machine Learning) unlocks a range of new possibilities for building web applications by enabling models to run locally in the browser. Combining on-device machine learning with the plethora of APIs that browsers provide, empowers developers to create low-latency, interactive, and privacy-focused applications that can scale and reach users without them needing to install anything! This internship operates at the intersection of software engineering, machine learning, and open-source community building. The focus will be to expand the Hugging Face ecosystem to web developers through the creation and maintenance of easy-to-use JS/TS machine learning libraries. By the end of the internship, the candidate will have touched on many aspects of web machine learning, including: converting and optimizing models for in-browser inference (ONNX, quantization), enabling models to run in-browser at near-native speeds (WebGPU, WebNN, WASM), building demo applications to showcase new features, and fostering a collaborative open-source community.About YouIf you love open-source but also have an eye for art and creativity, are passionate about making complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application!If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact.More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.",Internship,"Machine Learning Engineer Internship, WebML - US Remote"
+403,2025-04-09,San Francisco,California,Nextdoor,https://nextdoor.com,"Nextdoor is where you connect to the neighborhoods that matter to you so you can thrive. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services.
+
+We believe connecting with others is a universal human need. That truth, and the reality that neighborhoods are among the most important communities in our lives, have been guiding principles for Nextdoor since the beginning.
+
+Today, neighbors rely on Nextdoor in more than 340,000 neighborhoods across 11 countries. In the U.S., 1 in 3 households uses the network.
+
+Nextdoor is based in San Francisco. For additional information and images: nextdoor.com/newsroom.
+
+Nextdoor is free, and it's easy to sign up. Get started at https://nextdoor.com.
+
+For media inquiries, email us at press@nextdoor.com.
+
+For customer support, reach us at http://nextdoor.com/support.","#TeamNextdoorNextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.Meet Your Future NeighborsAt Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live.At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees.The Impact You’ll MakeYou will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platformCollect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platformAnalyze datasets and and use important features to build low-latency models for decisions that need to be made quicklyDeploy ML models into production environments and integrate them into the productRun and analyze live user-facing experiments to iterate on model quality by measuring the impact on business metricsCollaborate with other engineers and data scientists to create optimal experiences on the platformParticipate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercisesBuild in-person relationships with team members and contribute to Nextdoor’s company cultureWhat You’ll Bring To The TeamB.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field1 - 3 years of industry experience in applying machine learning at scale Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is requiredExperience building ML models for consumer-facing productsProven engineering skills, with experience in writing and maintaining high-quality production codeAbility to work with and analyze large amounts of dataAbility to succeed in a dynamic startup environmentRewardsCompensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.The starting salary for this role is expected to range from $195,000 to $251,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.",Mid-Senior level,Machine Learning Engineer - Product
+404,2025-03-24,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2935863",Not Applicable,"Machine Learning Engineer, AGIF | Finetuning"
+405,2025-03-13,Boston,MA,Lendbuzz,http://www.lendbuzz.com,"Lendbuzz is an AI-based auto finance platform that helps consumers obtain fair access to credit when purchasing a car. Powered by alternative data and machine-learning algorithms, Lendbuzz can assess the creditworthiness of consumers whose credit scores range from good to non-existent—a group totalling some 100 million people—yet despite their massive numbers are underserved by traditional loan processes. Lendbuzz supports the success of their dealership partners through consumer loans that help those dealers reach a more diversified client base, together with competitive floorplanning options that help them grow their businesses. Lendbuzz is headquartered in Boston, Massachusetts and was founded in 2015.
+
+All loans are made by Lendbuzz Funding, LLC.
+NMLS ID #1636296","At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.We’re looking for a Machine Learning Engineer who excels in building and maintaining robust systems that deliver real value to users. You’re skilled at turning functional logic into scalable code and integrating systems across teams. You embrace continuous learning, stay updated on new technologies, and drive process improvements.At Lendbuzz, you’ll work closely with infrastructure teams to design and deploy end-to-end pipelines, collaborate on ML model integration, and ensure high-quality releases. You take pride in your craft and push the team to maintain high standards in both development and testing.Key Responsibilities:Build machine learning and deep learning models based on financial and other modalities like images and textDevise new research methods to solve bleeding edge problems and get a chance to work on publishable outcomeConduct in-depth analysis of machine learning models and pioneer research methodologies to address cutting-edge challengesCollaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systemsDesign and develop robust, ML pipelines and systemsImplement end-to-end solutions, including architecture design, business logic, and deploymentDrive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releasesStay updated with advancements in machine learning and related technologies to continuously improve our solutionsRequirements:Masters (M.S.) with 3+ years of full time experience in industryStrong knowledge in Computer Vision, Deep Learning, Linear Algebra, Probability, Data Structures and AlgorithmsStrong knowledge of numpy, scipy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning is a mustStrong grasp of CS and ML foundation and core conceptsExperience designing and implementing APIsIntimate familiarity with Python, PostgreSQL, FLASK, REST and LinuxAble to convert functional logic into code is a mustFluency on the Linux command-line, including utilities (grep, find, etc.) and use of gitWe believe:Diversity is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.Compassion is a strength. We care about our customers and look to build long-term relationships with them.Simplicity is a key feature. We work hard to make our forms and processes as painless and intuitive as possible.Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions.Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity.If you believe these things too then we would love to hear from you!",Not Applicable,Machine Learning Engineer (Boston)
+406,2025-04-09,Seattle,WA,Weyerhaeuser,https://www.weyerhaeuser.com,"We manage forests and manufacture products that make the world a better place. We’re serious about safety, driven to achieve excellence, and proud of what we do. With multiple business lines in locations around the world, we offer a range of exciting careers opportunities for smart, talented people who are passionate about making a difference.
+
+Be sure to follow us on Twitter and Instagram: @Weyerhaeuser","At Weyerhaeuser, we are the world’s premier timber, land, and forest products company.Sustainability is the founding concept of our business and our values drive every decision to ensure we continue to lead the forestry industry in sustainability practices.And we know about sustainability – we led it in the forestry industry when we planted our first seedling by hand in 1938.We recognize that our success is dependent on the success of our people.For over 125 years, our Weyerhaeuser team has been making a difference in the world – from the seedlings we plant, to the forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride.That’s the Weyerhaeuser way.Grasp the opportunity to apply data science to the physical world of manufacturing!We are looking for a data scientist, with previous experience in manufacturing, who is passionate about opportunities to improve the manufacturing process, including increased reliability and product quality for our Wood Products manufacturing mills.We have a large manufacturing presence in North America with lumber, OSB, plywood, and engineered lumber products mills in Canada and the United States.Our Weyerhaeuser brand and scale of operations make us a major player in the wood products business.You would be partnering with our manufacturing mills to identify, analyze, and solve complex problems related to production quality, equipment reliability, and preventative maintenance.Your work would directly impact operational efficiency, improved product quality, and mill uptime.You have a high attention to detail, but are good at seeing the big picture, and aren’t afraid to think outside the box, and champion your ideas. You have experience articulating opportunity, as well as creating and successfully managing projects. You are effective at communicating timely and relevant information to business leaders and internal partners.The position is part of our central Data & Analytics team and will be located in Seattle, WA.Key FunctionsCollaborate with manufacturing engineers, maintenance teams, and operations leaders to understand challenges and opportunities of our manufacturing processes.Analyze manufacturing process data, sensor/IoT data, and quality metrics to uncover actionable insights.Design and develop predictive models and identify the appropriate machine learning algorithms to forecast equipment failures, optimize maintenance schedules, and improve the quality of our wood products. Design and implement statistical process control methods and anomaly detection techniques to proactively address quality issues in the manufacturing process.Implement and optimize machine learning models, including retraining and deployment, to ensure continuous improvement and accuracy. Evaluated model effectiveness through rigorous testing and performance metrics.Present compelling, validated stories to all levels of our organization, including peers, senior management, and internal customers that communicate opportunities and drive strategic business initiatives.Create innovative insights and develop/maintain impactful reports, dashboards, and model outputs.JobInformation TechnologyPrimary LocationUSA-WA-SeattleScheduleFull-timeJob LevelIndividual ContributorJob TypeExperiencedShiftDay (1st) Strong proficiency in programming environment and languages, specifically Python (e.g pandas, scikit-learn, etc) and R.  Strong understanding of machine learning techniques, statistical analysis, and time series forecasting.  Experience utilizing data visualization tools such as Power BI  Experience working with large datasets of manufacturing, quality, and sensor/IoT data  Excellent problem-solving skills and ability to translate business problems into data science solutions.  Cloud computing experience such as AWS, Azure, or Snowflake  Communicate findings clearly to both technical and non-technical stakeholders, providing recommendations that drive measurable improvements. Required Master's or Ph.D. in Data Science, Engineering, Physics, Computer Science, Machine Learning or related areas.  3+ years of experience solving problems through statistical modeling, applied machine learning and data analysis. What We OfferCompensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $106,900-$160,400 based on your level of skills, qualifications, and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 15% of base pay. Potential plan funding may range from zero to two times that target.Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. For those eligible, we offer a pre-tax Health Savings Account option which includes a company contribution based on your participation. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career.Retirement: Employees are able to enroll in our company’s 401(k) plan, which includes a paid company match on a per pay period basis. In addition, the company makes a retirement savings contribution of 5% of eligible earnings into the 401(k) Plan.Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours.About WeyerhaeuserWe sustainably manage forests and manufacture products that make the world a better place. We’re serious about safety, driven to achieve excellence, and proud of what we do. With multiple business lines in locations across North America, we offer a range of exciting career opportunities for smart, talented people who are passionate about making a difference.We know you have a choice in your career. We want you to choose us.Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: wy.com/applicantsWeyerhaeuser is an equal opportunity employer. Inclusion is one of our five corevalues, and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.",Entry level,Data Scientist - Manufacturing
+407,2025-04-04,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace of consumers, merchants, and dashers. The Forecasting Platform provides a unique opportunity to have a broad impact on the business ensuring we can quickly respond to a rapidly changing operational environment. The team supports projects across all of our major pillars (e.g. supply / demand, auto-scaling infrastructure, support optimization) as well as the development of an internal decision platform for time series.About The RoleAs a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers.You’re Excited About This Opportunity Because You Will…Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotionsOwn the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilitiesResearch new tools within the Forecasting space (e.g. TimeGPT, LLM extensions)You can find out more on our ML blog post hereWe’re Excited About You Because…High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double downYou’re an owner — driven, focused, and quick to take ownership of your workHumble — you’re willing to jump in and you’re open to feedbackAdaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth settingDesire for impact — ready to take on a lot of responsibility and work collaboratively with your teamExperienceM.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in productionDemonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etcDeep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting Experience of shipping production-grade ML models and optimization systemsNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,"Machine Learning Engineer, Forecast Platform"
+408,2025-03-09,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+409,2025-04-02,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We're looking for an experienced ML Engineer to help us develop and improve the models that power DoorDash's three- sided marketplace of consumers, merchants, and dashers. Team is responsible for building a leading industry level NLP/LLM system to empower all communication for Doordash Journey, also building recommendation/personalization to provide best experience.About The RoleAs a Machine Learning Engineer you will have the opportunity to identify and prioritize machine learning investments across our conversation AI & personalization ecosystem. You will leverage our robust data and infrastructure to develop natural language processing and personalization models that impact millions of users across our three audiences. You will partner with an engineering lead and product manager to set the strategy that moves the business metrics which help us grow our business.You’re Excited About This Opportunity Because You Will…Lead the development of DoorDash's support chatbot & LLM system: Applying LLM, active learning, semi- supervised learning, weak label generation, documentation embedding/retrieval and data augmentation strategies to improve the consumer, dasher, and merchant support experienceDrive the personalization of DoorDash's issue prediction & resolution policies: Using both personalization, recommendation and dynamic pricing modeling technologies to serve millions of customers on personalized prediction resolution for any issues they might encounter during their journeySpearhead the creation of next-generation LLM AI Agent tools: Building Co-pilot system to evolve how millions of users interact with our support systemApply stratification, variance reduction, and other advanced experiment design techniques to create A/B tests to efficiently measure the impact of your innovations while minimizing risk to the broader systemYou can find out more on our ML blog hereWe’re Excited About You Because You Have…3+ years of industry experience developing optimization models with business impact, including 1+ year(s) of industry experience serving in a tech lead role M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldYou must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New YorkDeep understanding of natural language processing techniques and procedures for efficiently acquiring and validating human-labeled dataGood experience in overall big data analysis, system, backed integration with new ML system/solution. Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inferenceFamiliarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLibExperience productionizing and A/B testing different machine learning modelsFamiliarity with advanced causal inferences techniques and contextual bandit algorithms preferredNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - Conversation AI
+410,2025-03-10,Toronto,Ontario,Ideogram,https://ideogram.ai/,"Ideogram is defining the future of design in the age of AI. Turn your ideas into stunning graphic designs, in a matter of seconds. It's pronounced eye-dee-oh-gram.","Ideogram’s mission is to help people become more creative. Our thesis is that everyone has an innate desire to create. We are developing state-of-the-art AI tools that will make creative expression more accessible and efficient. We are pushing the limits of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a small presence in NYC. Read our Canvas and Ideogram 2.0 blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About The RoleAs a Machine Learning Engineer, you will build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.What We're Looking For2+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlowExperience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratchTrack record in machine learning innovation and familiarity with Deep Learning and advanced Machine LearningEnd-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AIAbility to debug machine learning models to iteratively improve model quality and performanceNice to have: Familiarity with kubernetes and dockerOptional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel codeFounding teamOur founding team consists of world-renowned AI experts including Mohammad Norouzi, Jonathan Ho, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, UC Berkeley, CMU, and the University of Toronto. Our fundamental work in AI includes: Imagen: Google’s text-to-image system, Imagen Video for video synthesis, Denoising Diffusion Models, which is the foundation of the recent generative media transformation.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.",Mid-Senior level,Machine Learning Engineer
+411,2025-04-09,Boston,Massachusetts,DataRobot,https://www.datarobot.com,DataRobot delivers the industry-leading AI applications and platform that maximize impact and minimize risk for your business.,"Job Description:DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.The Junior Data Science Engineer role in the Customer Engineering team is an exciting opportunity to work at the intersection of AI/ML engineering, solution development, and go-to-market strategy. We are looking for a highly coachable, ambitious data science engineer who thrives in hands-on problem-solving and is eager to grow into a well-rounded AI/ML engineer.Your work will focus on building reusable, production-ready AI solutions that accelerate customer adoption of the DataRobot platform. This means:Developing scalable, productionizable AI assets that customers can confidently integrate into their workflows.Ensuring AI solutions are resilient, maintainable, and easy to deploy, minimizing operational friction.Engaging with early-adopter customers and internal teams to refine and validate solutions.Collaborating with product, sales, marketing, and enablement teams to drive solution awareness and usage at scale.Beyond developing and refining AI solutions, you will also help prioritize future investments by identifying high-impact opportunities and gathering customer feedback to refine existing assets.This role is ideal for a highly motivated, coachable data scientist eager to work hands-on with Python, pandas, and modern AI tooling while making a real impact on customer success and AI adoption. If you thrive in a fast-paced, highly autonomous environment, enjoy solving complex problems, and want to build AI solutions that truly scale, we’d love to hear from you!Key Responsibilities:Develop reusable, production-ready assets that accelerate AI/ML adoption for customers—ranging from demo environments to deployable templates.Prototype and experiment with AI/ML workflows using Python, pandas, and modern AI tooling, ensuring they are scalable and customer-ready.Implement and refine engineering best practices to improve performance, scalability, and maintainability of AI/ML solutions.Work within existing infrastructure to support scalable AI deployments, including CI/CD automation, API integrations, and containerized environments (Docker, Kubernetes).Contribute to, create, and maintain automated tests for AI/ML workflows.Collaborate cross-functionally with product, sales, and marketing teams to scale high-impact solutions.Work on real-world deployment challenges, including monitoring, logging, and improving reliability in AI/ML workflows.Support customer engagements by working directly with users to validate solutions, improve adoption, and ensure real-world impact.Stay ahead of industry trends, continuously refining our approaches and advocating for best practices in AI/ML engineering.Work closely with enablement teams to scale adoption of our solutions through documentation, content, and training materials.Knowledge, Skills and Abilities:Strong Python ecosystem knowledge with the ability to experiment, iterate quickly, and troubleshoot real-world ML workflows using libraries like pandas, NumPy, scikit-learn, and web server tools like FastAPI.1-5 years of experience in data science, machine learning, or AI development (or a top-tier CS/DS graduate with strong fundamentals).Highly coachable, adaptable, and eager to learn—we prioritize raw ability, curiosity, and work ethic over specific years of experience.Experience with ML model development, deployment, and evaluation—you should be comfortable turning data into insights and working with predictive models.Some familiarity with data engineering best practices, including working with structured/unstructured data, feature engineering, and optimizing ML pipelines.Proficiency in writing efficient, maintainable, and well-structured code, with an emphasis on reusability, scalability, and production readiness.Experience with software engineering best practices, including containerization (Docker), CI/CD automation, and cloud-based ML deployment.Ability to implement logging, monitoring, and debugging strategies to ensure the reliability and performance of AI/ML applications in production.Strong foundation in Computer Science fundamentals, including object-oriented design, data structures, and algorithmic problem-solving.Experience with APIs, SDK development, or ML platform integrations is a plus.Customer-facing or project-based experience is a plus, but we’ll help develop these skills.Self-motivated, driven, and eager to take on challenges—we’re looking for someone who thrives in a fast-moving, high-growth, and high-autonomy environment. Nice to Have:Experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployment.Some working knowledge of automated testing and test-driven developmentFamiliarity with CI/CD pipelines and DevOps practicesBasic knowledge of generative AI solutions like RAG, finetuning, etc.Masters’ degree in Data Science or Software EngineeringThe talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!DataRobot Operating Principles:Wow Our CustomersSet High StandardsBe Better Than YesterdayBe RigorousAssume Positive IntentHave the Tough ConversationsBe Better TogetherDebate, Decide, CommitDeliver ResultsOvercommunicateResearch shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.All applicant data submitted is handled in accordance with our Applicant Privacy Policy.",Mid-Senior level,Junior Data Science Engineer
+412,2025-04-09,Seattle,Washington,Edo,https://www.edoenergy.com/,"Edo is a leading provider of innovative energy efficiency and demand flexibility solutions. We partner with utilities to transform commercial buildings into efficient, reliable contributors to the electric grid. Utilities rely on Edo’s virtual power plants and AI-driven technology to optimize thousands of buildings and aggregate distributed energy resources. Edo’s technology and expertise improve energy consumption, reduce costs, and cut carbon emissions for a sustainable future. ","Edo partners with utilities to transform commercial buildings into efficient contributors to the electric grid. We have a bold vision: a future where clean energy is reliable, affordable, and empowers communities everywhere. The energy sector is undergoing its most dramatic transformation in decades, with the U.S. power grid being reimagined to meet evolving technological, environmental, and economic needs. Edo develops innovative energy efficiency and demand flexibility solutions that help utilities and building owners navigate this shift while ensuring grid reliability and operational efficiency. Let’s shape the future of energy together.The Opportunity with EdoWe are looking for a Machine Learning Engineer to join Edo’s R&D team, where you will develop tools to optimize energy use in buildings and implement novel control sequences to shift and shed electrical load in buildings. You will work closely with Edo’s Software Development team to deploy trained models into production; and you will work closely with Edo’s Operations team to evaluate building performance trends and identify measures to improve energy efficiency and occupant comfort.Ideally, you will have industry experience developing production-ready machine learning models and a strong theoretical understanding of machine learning concepts (statistics, time series analysis and forecasting, and optimization). Exceptional candidates will also have experience evaluating energy use in commercial buildings, including HVAC sequences of operation and onsite distributed energy resources (DERs).Our solutions operate on large streaming data sets, and you will gain experience deploying models in the cloud and on edge devices. You will also work closely with domain experts to build a deep understanding of the electricity grid, commercial building optimization, and opportunities for developing sustainable energy systems.What we want you to do:Develop and extend frameworks for time-series analysis and fault detection.Develop and improve machine learning algorithms for energy forecasting and optimal control.Develop automated methods for tuning machine learning models and retraining as necessary.Develop and extend inhouse python visualizations libraries for evaluating the performance of machine learning models.What we would like to see from you:Degree in Engineering, Physics, Computer Science, or a closely related quantitative field.Two or more years of experience conducting timeseries data analysis and developing machine learning models.Experience with machine learning techniques, including: data cleaning and imputation, feature selection, hyperparameter tuning, ensemble modeling, and error analysis.Experience deploying machine leaning models to production using Azure, Amazon Web Services, or similar.Excellent communication skills with the ability to engage both technical and non-technical audiences.Strong Python programming skills.What we’d like to see (but not required):Experience with SQL and/or time series databases.Experience with data visualization in python.Experience using AzureML to train, deploy and evaluate machine learning model performance at scale.Experience with physics-informed machine learning.Experience modeling energy use and/or controls in commercial buildings.PeopleFirst BenefitsWhen it comes to the basics, we have you covered:Competitive pay401(k) with employer match and profit-sharing planPaid time off and holidaysComprehensive medical, prescription, dental, and vision with low or zero deductible options and low out of pocket maximumsPeople come first at Edo, and we go beyond the basic benefits with:Family formation benefits, including adoption and IVF assistanceUp to 16 weeks paid parental leaveTransgender inclusive benefitsCommuter benefitsPet insurance“Building Good” paid community service timeLearning and advancement opportunities via McKinstry UniversityMcKinstry Moves onsite gyms or reimbursement for remote workersSee benefit plan documents for complete details.If you’re driven by our vision to build a thriving planet together, Edo is the place to build your career.The pay range for this position is $102,600 - $164,700 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Base pay information is based on market location. A bonus may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.Edo is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and qualified applicants without regard to sex, gender identity, sexual orientation, age, race, color, creed, marital status, national origin, disability, veteran status, genetic information or any other basis protected by law. This policy applies to all terms and conditions of employment including, but not limited to employment, advancement, assignment, and training. This commitment to Equal Employment Opportunity is made equally as a social responsibility and as an economic and business necessity. Edo is a drug-free workplace. Employment is contingent upon successfully passing a pre-employment drug and alcohol test, complying with the requirements of the Immigration Reform and Control Act and a Confidentiality Agreement, in addition to successful outcomes of background and reference checks. Applicants for this role will only be considered if they possess current US Work Authorization, and do not require employer-sponsored VISA support to begin or remain in this role.",Not Applicable,Machine Learning Engineer
+413,2025-03-25,Southfield,MI,Stefanini North America and APAC,http://www.stefanini.com/en/,"Stefanini Group is a multinational company with a broad portfolio of technological solutions. Our global presence spans 41 countries and 44 languages. Motivated by a shared entrepreneurial spirit, we help our clients transform their business through digital innovation, working in an agile manner and co-creating for a better future.
+We believe technology can revolutionize a company and that innovation is essential to foster development and competitiveness. We also value new ideas and the power of an open mind, so we recognize every talent is essential to the quality of our projects and especially to our progress. We are big enough to invest in new technology while small enough to be both flexible and adapt to our clients’ needs. Driven by our entrepreneurial mindset, we help customers transform their business through digital innovations by working in an agile mode and co-creating for a better future.
+
+
+We offer a broad portfolio of solutions, combining innovative consulting, marketing, mobility, personalized campaigns and artificial intelligence services with traditional solutions such as service desk, field service, and outsourcing (BPO). We maintain our excellence by investing in technological innovations, the best partnerships, acquisitions of companies worldwide, and the hiring of highly trained professionals.
+
+","Details:Job DescriptionStefanini Group is hiring!Stefanini is looking for a Machine Learning Engineer (Google Cloud Platform), Dearborn, MI (Hybrid) For quick apply, please reach out Pawan Rawat at 248-213-3605/pawansingh.rawat@stefanini.com We are looking for a Software Engineer to help build and drive the development of generative AI applications that will transform the future of mobility. In this role, you will work in a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers. You will be responsible for developing cutting-edge generative AI applications and systems that can be deployed across various domains, enabling smarter decision-making, enhancing customer experiences, and optimizing operations.Responsibilities Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems.Maintain and mange current CI/CD ecosystem and toolsFind ways to automate and continually improve current CI/CD processes and release processesExamine, inspect codes / scripts and resolve issuesHelp innovate standardize machine learning development practices.Experiment, innovate and share knowledge with the team.Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.Leverage latest ML / Gen AI / GCP / Kubernetes technologiesJob RequirementsDetails:Experience Required3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.2+ years of experience with Cloud Engineering / ServicesExperience with ML workflow orchestration tools: Airflow, Kubeflow etc.Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++Experience/understanding in MLOPs and Gen AIExperience in DevOps: Jenkins/Tekton etc.Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc.Experience in container management solution: Kubernetes, DockerExperience in scripting language: Bash, PowerShell etc.Experience with Infrastructure as code: Terraform etcExperience PreferredMaster focused in Computer Science / Machine Learning or related fieldExperience working with Google Cloud platform(GCP) - specifically Google Kubernetes engine, Terraform, and infrastructureExperience in programming concepts such as Paired Programming, Test Driven Development, etc.Knowledge of coding and software craftsmanship practices.Must be a quick learner and open to learning new technology.Experience applying agile practices to solution delivery.Must be team-oriented and have excellent oral and written communication skills.Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.Experience and good understanding of GCP, DevOPs, AI/ML and GEN AIEducation Required:A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline.Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.About Stefanini GroupThe Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMMI Level 5 company.",Mid-Senior level,Machine Learning Engineer (Google Cloud Platform)
+414,2025-04-09,,,LogicMatrix,,"Become part of a thriving community of creators. Join the 10,000+ developers building with LogicMatrix AI. hashtag#CodingCommunity hashtag#SoftwareCreators hashtag#LogicMatrixAI","Data Scientist (Python) - Minimum 5 years of experience is required.Candidates must be authorized to work in the United States full-time.Who You Are: You are a mid-level data scientist with 3+ years of experience in Python. You have expertise in machine learning and data analysis.What You Will Do:Develop and implement machine learning models.Analyze large datasets and extract insights.Conduct data exploration and visualization.Collaborate with engineers and product managers.Communicate findings and recommendations.Stay up-to-date with the latest data science trends.Build and maintain data pipelines.Requirements:5+ years of experience in data science.Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn).Experience with machine learning algorithms and techniques.Knowledge of data visualization tools (Matplotlib, Seaborn).Strong analytical and problem-solving skills.Good communication and presentation skills.",Not Applicable,Data Scientist (Python)
+415,2025-04-07,St Petersburg,Florida,EVONA,http://www.evona.com,"We believe in the evolution of knowledge and the progression of people - it is so core to our business, it's the meaning of our name: EVO - to evolve, ONA - people. ​
+
+EVONA Group brings together pioneering talent solutions for today’s most ambitious companies, with a suite of services designed to meet the unique demands of space, defense, and deep tech.
+ 
+FRACTION - www.evonafraction.com - connects VCs, PEs, and founders with fractional executives, bringing high-impact expertise exactly when it’s needed. 
+
+GRAM PARTNERS - www.grampartners.com -  is our white-glove executive search and consulting service, led by former SpaceX and Apple executives, delivering unmatched precision in high-level talent acquisition. 
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+EVONA - www.evona.com -  is the original, award-winning subscription and direct hire service for VP, director, management, and individual contributor roles, trusted by top companies for a seamless recruitment experience.
+ 
+Our platforms empower you to source talent independently or access curated executive search expertise – and we’ve built a following you can leverage to drive your mission forward.
+
+Call on: +1 202-381-9944 (US) or +44117 2034444 (UK)","Machine Learning EngineerThe Machine Learning Team is focused on developing and implementing advanced machine learning algorithms to solve complex problems in the evolving space economy. These efforts span various domains, including Computer Vision, Edge Processing, Data Fusion, and probabilistic statistical modeling.As a Machine Learning Engineer, you will enhance existing capabilities, incorporate the latest research, implement state-of-the-art algorithms, productionize models, create MLOps solutions, and work with end-users to deploy innovative systems.Key ResponsibilitiesDesign, develop, and validate reliable and scalable algorithmic solutions.Research and implement cutting-edge algorithms for challenging space-based applications.Optimize the runtime performance of existing implementations.Collaborate with end-users and partners in a team-focused, innovative environment.Integrate current and future machine learning solutions into production pipelines.Contribute to team discussions and provide insights to drive innovation across multiple related projects.QualificationsMinimum RequirementsBachelor’s or Master’s degree in Data Science, Machine Learning, or a related technical field, or 4+ years of relevant professional experience.Strong programming skills in Python.Proficiency with one or more of the following frameworks: PyTorch, TensorFlow, JAX.Solid understanding of linear algebra, calculus, statistics, and machine learning principles.Hands-on experience in developing advanced machine learning applications.Proficiency in data analysis, engineering, and exploration techniques.Excellent problem-solving, critical thinking skills, and strong engineering fundamentals.Ability to communicate complex algorithms and concepts effectively.Strong oral and written communication skills.Experience with Linux and shell command-line tools.Willingness to travel for collaboration across teams.Flexibility to work extended hours or weekends occasionally, if necessary.Eligibility to obtain a Secret or TS/SCI security clearance.Preferred Skills and ExperienceProgramming skills in C++.Experience productionizing machine learning solutions.Experience working in cloud environments (AWS, GCP, Azure).Knowledge of areas such as computer vision, uncertainty quantification, signal processing, computational physics, and time series analysis.Familiarity with platforms like Kubeflow, Blender, or Nvidia Omniverse.Additional RequirementsThis role may involve access to technology and software subject to U.S. export controls. Applicants must meet export control compliance criteria, including being a U.S. citizen, lawful permanent resident, refugee, or asylee, or be eligible for required U.S. Department of State authorizations.BenefitsHealth Insurance: Comprehensive medical, dental, and vision coverage.Retirement Plans: Access to a 401(k) plan.Paid Time Off: Generous vacation, personal days, and holidays for a healthy work-life balance.Professional Development: Access to training, workshops, and courses to foster career growth.Team Building: Regular social events, team outings, and company-sponsored activities.Diversity and Inclusion: A welcoming and equitable work environment supported by dedicated initiatives.About UsWe are a forward-thinking company dedicated to shaping the future of space exploration and operations. Our work includes designing cutting-edge spacecraft for space transport, orbital debris removal, and Space Domain Awareness (SDA) to support current and future space missions. We aim to deliver high delta-V per dollar to maximize cost-efficiency in space transportation. Our past successes include the launch of our first satellite in mid-2023, with additional missions planned for 2025.Apply now to join a collaborative and innovative team driving the future of space technology.",Mid-Senior level,Machine Learning Engineer
+416,2025-04-04,San Francisco,California,Imbue,https://imbue.com/,"We're rekindling the dream of personal computing by making reliable software creation accessible to all. Our mission is to empower humans in an age of AI by creating powerful computing tools for people. 
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+Our first product, Sculptor, is a coding agent environment that suggests and generates fixes to your code in a safe sandbox, enabling real-time improvements while you write. Our research focuses on improving our ability to verify the correctness of LLM-generated code, so that anyone can trust the software they make is reliable and robust.
+
+We envision a future where AI serves as a genuine tool — one that empowers us to pursue our own goals in this era of powerful AI.","SummaryAs a machine learning engineer, you’ll work very closely with a senior member of our research team on cutting-edge deep learning research, infrastructure, and tooling towards the goal of creating general human-like machine intelligence.This role can be either fully in-person or remote.Example projects Understand and implement papers to improve areas of interest, such as automatically generating and iteratively refining code, outputting reasoning traces, and verifying or debugging code Devise scientifically rigorous experiments to analyze the failure modes and benefits of different techniques Contribute to our data generation pipeline for creating instruction-tuning and evaluation data Develop infrastructure for making fine-tuning and experimentation simpler, faster, and less error-prone Work with our data and product engineers to identify areas of improvement from model results Leverage our existing framework to perform hyperparameter sweeps, and maintain and contribute new features to the sweep codeYou are Very comfortable writing Python Familiar with PyTorch and training deep neural networks Passionate about engineering best practices Self-directed and independent Excellent at getting things doneCompensation And Benefits Work directly on creating software with human-like intelligence Flexible working hours Time and budget for learning and self improvement Compensation packages are highly variable based on a variety of factors. If your salary requirements fall outside of the stated range, we still encourage you to apply. The range for this role is $140,000–$350,000 cash, $10,000–$5,000,000 in equityHow To ApplyAll submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas.We try to reply either way within a week or two at most (usually much sooner).Learn more about our full interview process here.About UsImbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world. We train our own foundation models optimized for reasoning and prototype agents on top of these models. By using these agents extensively, we gain insights into improving both the capabilities of the underlying models and the interaction design for agents.We aim to rekindle the dream of the *personal* computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love.",Not Applicable,"Software Engineer, Machine Learning"
+417,2025-03-20,,,Top AI Start up,,,"ML Engineer at a top AI start upRequirements:Experience from a start-up, or from an AI/ML engineering background Bachelors degree from top 50 Computer Science schoolResponsibilities:Create datasets, benchmark models, and define evaluation metrics for various tasks in voice agent platform.Train / Fine-tune various audio & LLM models for accuracy, latency, and domain specific knowledge.Work with engineers to integrate, monitor, and optimize models in production.Setup and manage a scalable human evaluation pipeline.Stay updated on cutting-edge AI advancements and experiment with / benchmark new models.Create scalable ML infrastructure & deployment within the system.",Mid-Senior level,AI/ML Software Engineer
+418,2025-04-05,California,94086,Intuitive,http://www.intuitive.com,"Intuitive (Nasdaq: ISRG), headquartered in Sunnyvale, Calif., is a global technology leader in minimally invasive care and the pioneer of robotic-assisted surgery. At Intuitive, we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.","Company DescriptionAt Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.Job DescriptionRoleWe are looking for a talented individual to join our growing machine learning and data science team to help provide creative ways to develop new technology focused on surgical workflow and performance for next generation robotic surgery platforms.ResponsibilitiesAs a Machine Learning Engineer, you will work at the intersection of machine learning and engineering (i.e., MLOps) to contribute to innovative digital solutions leveraging Surgical AI/ML technologies. Immediate projects and responsibilities may include:Integrating machine learning into digital products and services by working cross-functionally across engineering, data science, and machine learning teamsDeveloping automated workflows and tools to curate datasets and facilitate training of deep learning modelsWorking closely with Machine Learning and Data/Software Engineering teams to develop efficient processes for model development/deployment for various applications.Help support and manage a growing cloud infrastructure for MLOpsQualificationsWhat you’ll need to be successful:M.S. or Ph.D. in computer science, electrical and computer engineering, or related fields.Minimum 3 years of industry experience developing productionized code in machine learning, data engineering, or related field for AI applicationsExcellent communication skills both written and verbalA desire to work in a high-energy, focused, small-team environment with a sense of shared responsibility and shared rewardInterest in early research and development through to product roll-out in the fields of surgical AI and surgical roboticsHands-on experience with ML frameworks, such as PyTorch, Tensorflow, or similarKnowledgeable about MLOps platforms and/or ML CI/CD workflows to manage datasets and model training, deployment, and monitoringExperience with MLOps tools like MLFlow, KubeFlow, W&B, etcKnowledgeable about kubernetesExperience with cloud compute environments such as AWS, GCP, etcExperience with both edge and cloud deployments, focused on automation, scalability, and robustnessExperience with Python and SQLExperience with Git e.g github, gitlab, bitbucket, etcAbility to travel domestically and internationally (5-10%)Additional Desirable ExperienceExperience with successfully launching ML models into productionExperience supporting large multi-modality dataset including image/videoExperience within healthcareExperience with federated learningAdditional InformationDue to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.Mandatory NoticesWe will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.Base Salary Range Region 1: $161,500 USD - $232,500 USDBase Salary Range Region 2: $137,400 USD - $197,700 USDShift: DayWorkplace Type: Purposeful Onsite - This job requires being onsite for leader-defined events and activities which could be monthly/annually. Onsite frequency may increase based on business need.",Mid-Senior level,Machine Learning Engineer
+419,2025-04-03,Dearborn,Michigan,Food and Beverage Industry Solutions,https://www.pmcorp.com/Industries/FoodandBeverage.aspx,"Tecnomatix®  Plant Simulation Food and Beverage Library allows planners to investigate planning options and make informed decisions before incurring heavy design, engineering and investments costs.","Duration: 3+ yearsLocations: Multiple LocationsRole Title: Machine Learning EngineerThis role is to work with the Data Science team to develop and deploy machine learning solutions of the enterprise application and data landscape.Over eight (8+) years of data science and analytics design and development with good business skillsThe following functions are the responsibility of the ML Engineer within Data Science Team.Position ResponsibilitiesResponsibilities includes, but are not limited to the following:Design, build, deploy, monitor and support production deployment of data science solutionsResearch and implement ML algorithms and tools as a proof-of-concept and move it to the production-ready stateSelect appropriate datasets and data representation methodsOptimize and transform data science prototypes/solutions for speed, reliability, and scaleImplementing parallelization using spark, Kubernetes, etcTesting different platform stacks for performance and efficiencyProviding scalability by planning, designing and deploying on the appropriate CPU/GPU clustersCollaborate cross-functionally with domain experts to identify gaps and structural problemsPresent findings and discuss project results with business unitsAnalyzing, extracting, and optimizing relevant information from large amounts of data to help drive business decisions on product features and operational efficiencySQL knowledge is mustCompetenciesKnowledge of 7 + years of PythonData mining experienceDeep knowledge of statistics and practical implementations of computational statisticsPredictive modeling and algorithmsKnowledge of in reporting and data visualization",Entry level,Machine Learning Engineer
+420,2025-03-21,New York,,Baselayer,Baselayer.com,"Baselayer empowers over 2,000 financial institutions and government agencies to trust the small and medium-sized businesses they serve. 
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+We use proprietary machine learning to search government records, the web, and private databases to answer questions about Compliance, Risk, or Fraud about any business in the United States.
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+Our solution suite includes tools for identity verification (Know Your Business), enhanced due diligence, fraud prevention, risk profiling, lien filing, and portfolio monitoring. Our platform also offers unique credit stacking capabilities and an advanced repeat fraud prevention system.
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+Baselayer is integrated into companies with over 30 million accounts, rating and verifying real-time applications. 
+
+Baselayer.com","About Baselayer: With experience across far-ranging banks, Fortune 500 tech co’s, fintech unicorns 🦄, and AI experts, Baselayer is built by financial institutions, for financial institutions. Started in 2023 by experienced founders Jonathan Awad and Timothy Hyde, Baselayer has raised $20 Million and hit $2 Million in ARR faster than any other identity company in history. Today more than 2,000 Financial Institutions and Government Agency customers later, Baselayer is revolutionizing the way businesses approach fraud prevention and compliance. 🏆Check out their press release here → https://baselayerhq.com/press/About You: You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win—you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions.You have 1-3 years of experience in machine learning development, working with Python and building ML modelsYou're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systemsYou have a strong foundation in AI/ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniquesYou prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYBYou have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performanceYou thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstractionProblem-solver who navigates the unknown confidentlyProactive self-starter who thrives in dynamic settingsIncredibly intelligent and clever. You take pride in your modelsHighly feedback-oriented. We believe in radical candor and using feedback to get to the next levelResponsibilitiesModel Development & Integration: Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM spaceML System Design: Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use casesData Processing & Feature Engineering: Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional dataAdvanced ML Techniques: Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity spaceML Infrastructure: Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued innovationModel Governance & Compliance: Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulationsPerformance Optimization: Implement optimizations for model inference and training, ensuring ML services can efficiently process identity data while maintaining reliabilityExperimentation & Evaluation: Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use casesBenefitsHybrid in SF. In office 3 days/weekFlexible PTOHealthcare, 401KSmart, genuine, ambitious teamStart date: AprilSalary Range: $150k – $225k + Equity - 0.05% – 0.25%",Entry level,Machine Learning Engineer
+421,2025-03-22,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Machine Learning Engineer to join our team. You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment and catalog system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You will report to the engineering manager on our New Verticals ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building.Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Mid-Senior level,Machine Learning Engineer - New Verticals
+422,2025-04-01,Tampa,Florida,Gerdau North America,http://www.gerdau.com,"In North America, Gerdau manufactures merchant bar, structural steel, piling, special bar quality and rebar products for the agricultural, automotive, civil construction, distribution, energy, industrial, and mining markets.","Empowering people who build the future.BASIC FUNCTION (Primary Purpose)Build models and perform analysis with advanced Analytics techniques delivering models and extract relevant data to solve analytical problems. Good understand of descriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, Optimization, Data visualization, Pattern, cluster, segmentation analysis.Primary Duties & Responsibilities%Description Of Duty/responsibility80%Performs research, analysis, and modeling on organizational data.Ensure Analytics model quality assurance and validate them (peer validation)Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questionsDefine model monitoring criteriaProvides findings and analysis for use in decision making20%Develop Analytics best practices (models, standards, tools) Manage Analytics project pipeline and track Analytics impact on businessMonitor marketManage idea generation for patent developmentScopeMines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making. design, build and implement analytical solutions. Work closely with project teams and act as a Data Science & Advanced Analytics expert. Overall role in helping to drive global improvements based on qualitative data and by investigating various topics and sharing insights to a broader audience.Qualifications And Educational Requirement(s)Bachelor’s degree in a related area and 3 years of experienceExtensive knowledge of industry perspective and ability to translate business needs into dataAnalytical skillsDescriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, Optimization, Data visualization, Pattern, cluster, segmentation analysisExperience with analytical tools and languages - E.g. Python, SageMaker, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, PowerBI, Alteryx, Qlikview, Rapid Miner, Visual Basic, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, SQL language or SQL-likeGerdau believes in equal employment opportunity related to all employees and applicants for employment. It is the policy of Gerdau that there will be no discrimination against any employee or applicant for employment on the basis of race, religion, color, national origin, citizenship, marital status, sex, age, sexual orientation, genetic information, gender identity, veteran status, disability, or other legally protected status. All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship. If you are vision-impaired or have some other disability under the Americans with Disabilities Act / Accessible Canada Act or a similar law, and you wish to discuss potential accommodations related to applying for employment at Gerdau, please contact our Talent Acquisition Team at (866)-788-2798 or recruiting@gerdau.com",Entry level,Data Scientist
+423,2025-03-22,"Provo, UT and Seattle, WA",,Qualtrics,https://www.qualtrics.com/,"At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 19,000 clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. That’s where we come in. 
+
+Founded in 2002, our company has spent over 21 years working with the industries that impact you every day. From retail to government to healthcare, we’ve been on a mission to bring humanity, connection, and empathy back to business. It’s a mission that thousands of Qualtricians across the globe think is work worth doing.
+
+Mission: At Qualtrics, our mission is to build technology that closes experience gaps.","At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.Machine Learning Engineer IIWhy We Have This RoleWe are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!How You’ll Find SuccessWork in a supportive environment enables individual growth and achievement of team goalsCollaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customersDevelop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning modelsImplement new features and optimize existing ones to delight our customersHow You’ll GrowWork in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing businessBuild and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.Things You’ll DoWork closely with, and incorporate feedback from other specialists, tech-ops, and product managersLead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacityAttend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customersFinding quick ways to prototype and test possible solutions to large problemsWhat We’re Looking For On Your ResumeBachelor’s degree in Computer Science or related fields.2-5 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.Strong Computer Science fundamentals in algorithm design, complexity analysis, and performanceExperience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented designExperience with applied machine learning models and large-scale ML systemsWhat You Should Know About This TeamThe Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. This team builds core machine learning infrastructure and services.Our Team’s Favorite Perks And Benefits$1800 Experience bonus to be used for an “Experience” of your choosingUnlimited Sick DaysAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection ActQualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.Washington State Annual Pay Transparency Range$127,000—$240,000 USD",Mid-Senior level,Machine Learning Engineer II
+424,2025-04-08,Mountain View,California,Moveworks,https://moveworks.ai/?utm_source=soc&utm_medium=li,"Moveworks unifies every business system with natural language, giving employees one place to go to find information, automate tasks, and be more productive, increasing employee efficiency and satisfaction by streamlining everyday tasks.
+
+Powered by a pioneering agentic AI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, Moveworks understands employee requests, devises intelligent plans, and executes actions to complete tasks across application boundaries in over 100 languages.
+
+More than 350 brands, such as Toyota, Spotify, GitHub, Marriott, Snowflake, Unity, Databricks, Broadcom, Hearst, and Palo Alto Networks, trust Moveworks to automate menial tasks and power a universal search interface across business applications.
+
+Learn more at moveworks.com.","Location: Based in our Mountain View or San Francisco office. Hybrid 2-3x a weekIn this role you’ll lead the full-stack Data Science function for all our Sales stakeholders as we grow Moveworks business from $100M to $1B ARR over the next few years. You will collaborate directly with Sales Operations, Sales Leadership, and Business Strategy teams to continuously enhance our role-specific sales dashboards and execute deep analyses to inform day-to-day sales execution tactics as well as longer term sales strategy.You will partner with your fellow Data Scientists on the Marketing and Customer Success side to continue to jointly develop our best-in-class GTM data infrastructure.You’re someone who enjoys the constant combination of deep technical data science work with direct first-hand exposure to business context. You’re motivated by proactively finding data insights that make an immediate tangible impact on our Sales results.This role is part of our centralized GTM Operations team and reports to Sr. Director of GTM Operations.What Will You Do?Build and maintain dashboards for all Sales audiences (AEs, Sales Leaders, SDRs, SDR Managers, Presales, etc.)Analyze sales performance to identify levers that move the needle in increasing our pipeline generation, conversions, win rates, and overall revenue targets.Work with Sales Leadership and Sales Operations to develop and implement new sales metrics as our business continues to evolve.Proactively identify opportunities to improve stakeholder dashboards and data quality.Build and improve ETL pipelines to deliver new metrics and visualizations.Contribute to analytics working sessions to empower stakeholders to own their analysis.What You Bring To The Table4+ years of experience in analytics.Experienced in BI tools such as Tableau or Mode Analytics.Strong collaboration skills, business intuition, attention to detail, and natural curiosity.Experienced in SQL and Python.Experienced in data modeling principles and ETL.Experience in building and maintaining data pipelines.Experienced in causal inference and predictive analytics. *Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans. Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.Moveworks Is An Equal Opportunity Employer*Moveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.Who We Are Moveworks is the universal AI copilot for search and automation across all your business applications. We give employees one place to go to find information and get support while reducing costs for your business. The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them. It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees.  The world’s most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminate repetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team. In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year. We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024! Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.Come join one of the most innovative teams on the planet!",Mid-Senior level,"Data Scientist, Sales"
+425,2025-02-13,Monmouth Junction,NJ,First Soft Solutions LLC,http://www.firstsoftsolutions.net,"When you hire First Soft Solutions, you're hiring a strategic technology consulting partner committed to helping you meet your unique business and technology objectives on time, on budget and with an optimal experience. We apply the expertise of our global community of technology experts, an unmatched portfolio of proven solutions, flexible delivery and a laser focus on the Microsoft enterprise platform to help you increase revenue, reduce costs and reinvest in innovation for competitive advantage. And we bring unique connections with our clients and Microsoft, enhancing our ability to deliver effective mission-critical solutions for organizations across all industries. When selecting an First Soft Solutions solution, you'll receive the best of our thinking and experience. Based on engineered, tested and reusable technology assets, our solutions are proven to help customers streamline operations, create new products and services, optimize collaboration across all groups and boundaries, and serve their customers better.","We are actively hiring for Principal Machine Learning EngineerFull time positionRequired SkillsetExperience required 12-21 yearsStrong expertise in Machine Learning & AI (Supervised & Unsupervised Learning).Proficiency in Python, TensorFlow, SQL, and Jupyter Notebooks.Deep understanding of time-series modeling, anomaly detection, and risk analytics.Experience with big data processing and financial data pipelines.Ability to deploy scalable ML models in a cloud environment.Machine Learning for Exception Classification (MLEC): Working codes & documentationMissing Value Imputation: Implementation & validation reportsEarly Warning Signals: Data onboarding & anomaly detection modelsModel Surveillance: Fully documented monitoring frameworkSecurities Lending: Clustering algorithms for financial marketsAdvanced Data QC: Development of a general-purpose QC library",Mid-Senior level,Machine Learning Engineer
+426,2025-03-27,Broomfield,Colorado,DigitalOcean,https://www.digitalocean.com,"DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean helps developers at startups and growing digital businesses rapidly build, deploy and scale, whether creating a digital presence or building digital products. DigitalOcean combines the power of simplicity, security, community and customer support so customers can spend less time managing their infrastructure and more time building innovative applications that drive business growth.","We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems.Key ResponsibilitiesDevelop, test, and implement predictive models and machine learning algorithms to solve business challenges.Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools.Design and execute experiments (A/B testing, causal inference, etc.) to measure the impact of business initiatives.Collaborate with stakeholders to translate business questions into data science problems and communicate findings effectively.Build and maintain data pipelines and ETL processes to ensure data quality and availability.Present data-driven recommendations to executives and cross-functional teams in a clear and actionable manner.Stay updated on the latest advancements in data science, machine learning, and AI.QualificationsMaster’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.3+ years of experience in data science, analytics, or a similar role.Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.Solid experience with SQL for querying and managing structured data.Knowledge of machine learning, statistical modeling, and optimization techniques.Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.Ability to communicate complex findings to non-technical stakeholders in a clear, concise manner.Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).Familiarity with business intelligence, marketing analytics, or financial forecasting is a plus.Preferred SkillsExperience in causal inference, econometrics, or Bayesian methods.Hands-on experience with ML Ops, model deployment, or data engineering workflows.Understanding of business metrics, growth strategies, and financial modeling.Ability to work in a fast-paced, cross-functional environment.Why You’ll Like Working for DigitalOceanWe innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.We reward our employees. The salary range for this position is $165,000 - $195,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.This is a remote role",Mid-Senior level,Data Scientist
+427,2025-03-21,Menlo Park,California,Robinhood,http://www.robinhood.com,"Trade. Invest. Earn. 
+
+rbnhd.co/social_media_disclosures","Join a leading fintech company that’s democratizing finance for all.Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.With growth as the top priority...The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.About the team + roleThe mission of the Applied Machine Learning team is to provide scalable data and model driven decision making solutions to the various business functions at Robinhood. We aim to create a personalized experience for our users, by helping them discover & engage with the right products & features within Robinhood that they might find most valuable. To accelerate progress, we are also building an accessible model development platform to democratize machine learning practices throughout the company. As we embark on this exciting journey, we are looking for a Senior Machine Learning Engineer to join us to make this vision a reality.What You'll DoAs a Machine Learning Engineer on our team, your primary focus will be on the implementation and evaluation of machine learning algorithms through rigorous experimentation and testing methodologies. Your responsibilities will include:Model Development and Implementation: Develop and implement scalable machine learning models focusing on advanced ranking and recommendation systems, including expertise in Collaborative Filtering, Content-Based Filtering, and Hybrid models, alongside proficiency in Learning to Rank (LTR) techniques for effective prioritization. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation.A/B Testing and Experimentation: Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance, and analyzing results.Data Analysis and Insight Generation: Analyze experimental data to extract actionable insights. Use statistical techniques to validate the findings and ensure their relevance and accuracy.Cross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to different stakeholders.Tooling and Documentation: Build reusable libraries for common machine learning practices. Offer support and guidance to the usage of these tools. Maintain comprehensive documentation of libraries, models, experiments, and findings. .What You Bring5+ years of applied ML experience productionizing ML models with 2+ years focused on recommendations, ranking or personalization projects.A fervent interest in exploring and applying AI and ML technologies.Strive to solve sophisticated engineering problems that drive business objectives.Solid technical foundation enabling active contribution to the design and execution of projects and ideas.Familiarity with architectural frameworks of large, distributed, and high-scale ML applications.Proven experience in ML with a focus on ranking, recommendation systems, multi-objective optimization, and reinforcement learning.Proficiency in Python, SQL, XGboost, PyTorch/TensorFlow.Experience with Spark, Kafka, and Kubernetes is also desirable.Ideally you have experience in the Finance sector.What We OfferMarket competitive and pay equity-focused compensation structure100% paid health insurance for employees with 90% coverage for dependentsAnnual lifestyle wallet for personal wellness, learning and development, and more!Lifetime maximum benefit for family forming and fertility benefitsDedicated mental health support for employees and eligible dependentsGenerous time away including company holidays, paid time off, sick time, parental leave, and more!Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefitsWe use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.Please see the independent bias audit report covering our use of Covey here.Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$187,000—$220,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$165,000—$194,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$146,000—$172,000 USDClick here to learn more about available Benefits, which vary by region and Robinhood entity.We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.",Mid-Senior level,"Senior Machine Learning Engineer, Applied ML"
+428,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Ads/Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our teams develop a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, vertical solutions, creative solutions, and business integrity.This channel serves as the entry point for our general hiring process: you will go through two to three rounds of technical interviews and then proceed to team matching. Your profile will be reviewed by multiple teams within Monetization Technology, which is a great benefit!We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Key Responsibilities Participate in the development of a large-scale Ads system. Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the TikTok ads monetization ecosystem. Work with product and business teams on product vision.QualificationsMinimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, or other relevant majors. Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python. Experience with deep learning and machine learning. Ability to think critically and to formulate solutions to problems in a clear and concise way.Preferred Qualification Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (Advertisement Team) - 2025 Start (BS/MS)
+429,2025-02-11,Cambridge,MA,Pickle Robot Company,http://www.picklerobot.com,"We believe the best working experience is one where machines do the heavy lifting and people do the problem solving. Our robots work with people in the messy world of warehouse loading docks, reducing the real physical pain of unloading trucks and containers radically amplifying what each person can accomplish. 
+
+Founded by an exceptional cast of robotics and machine learning experts, Pickle creates robots that work alongside people in the very messy world of the loading dock, reducing the backbreaking human effort that goes into getting your online orders to your door. 
+","About this role:Pickle is on the hunt for a dynamic and driven Senior Machine Learning Engineer to push the boundaries of robotic AI and machine learning in industrial automation. This role is deeply R&D-focused, working on prototyping, developing, and refining machine learning models that power our next-generation robotic unloading solutions. You will explore, design, and implement cutting-edge AI/ML algorithms for robotic perception, decision-making, and adaptive control in warehouse automation environments.What you'll Accomplish:Research, prototype, and develop AI-driven models for robotic manipulation, grasping, and object interactionDesign and optimize Classical ML / deep learning and reinforcement learning (RL) models for robotic control and decision-makingDevelop simulation-driven ML pipelines, integrating synthetic data, real-world sensor data, and reinforcement learningWork with different learning models, including Large Language Models (LLMs), transformer-based architectures, and generative AI to enhance robotic intelligenceCollaborate with robotics engineers, software developers, and mechatronics teams to integrate ML models into real-world robotic systemsDesign and implement scalable ML frameworks for real-time robotics applicationsConduct model evaluation, benchmarking, and performance tuning to improve accuracy, robustness, and generalizationDevelop and maintain data pipelines, including sensor data collection, annotation, and preprocessing for AI model trainingExperiment with foundation models and generative AI for robotics applicationsWork with physics-based simulators (Isaac Sim, Mujoco, PyBullet, Gazebo, DRAKE) to train and validate ML modelsWho you are:5+ years of experience in machine learning, deep learning, or reinforcement learning for roboticsHands-on experience with robotic perception, motion control, and adaptive decision-making modelsStrong background in ML model development, training pipelines, and real-world deploymentExperience in R&D environments, rapidly prototyping and iterating on AI modelsFamiliarity with robotics simulation environments and synthetic data generationStrong understanding of multi-modal sensor fusion (LiDAR, depth cameras, IMUs) and time-series modelingExperience working with different AI models, including LLMs, generative AI, diffusion models, and reinforcement learning algorithmsProgramming: Proficiency in Python, C++, and experience with robotics frameworks (ROS2, PyTorch, TensorFlow, JAX, OpenCV).ML Techniques: Deep learning (CNNs, Transformers), reinforcement learning (PPO, SAC, DDPG), and self-supervised learningSimulation & Modeling: Experience with physics-based simulation tools (Isaac Sim, Mujoco, Gazebo, PyBullet).Data Processing: Expertise in large-scale dataset curation, sensor fusion, and distributed ML pipelinesOptimization & Deployment: GPU acceleration, CUDA, TensorRT, and real-time model optimizationExperience with edge AI and deploying ML models on embedded robotics platformsBackground in multi-agent reinforcement learning (MARL) for robotic coordinationUnderstanding of generative AI (Diffusion Models, Transformers) applied to robotic environmentsExperience with foundation models and fine-tuning large-scale pretrained ML models for roboticsPassionate about AI for robotics and solving hard, real-world problemsStrong R&D mindset, excited about prototyping and pushing AI innovationSelf-driven, curious, and thrives in an experimental, fast-paced environmentEffective collaborator, able to work cross-functionally with robotics and software teamsWilling to work onsite at our Cambridge,MA office atleast 3 days a week About Pickle RobotPickle Robot is a pioneer in Physical AI for supply chain applications. Today Pickle robots autonomously unload trucks, trailers, and import containers at human-scale or better performance. The alternative is manual work that is difficult, dirty, sometimes dangerous, and increasingly hard to staff at distribution centers around the globe. Pickle Robot is laser focused on automating truck unloading using generative AI, machine learning, computer vision, advanced sensors, and industrial robotics to deliver engineered products customers rely on. Pickle Robot Unload Systems work alongside people on loading docks to make the work safer, faster, and more efficient. Pickle robots are physical AI that unload trucks.Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive.",Not Applicable,Senior Machine Learning Engineer
+430,2025-03-11,.,.,Evolve Group,http://www.evolvegrp.io,"Uncovering alpha in Quant Talent.
+
+Evolve is a strategic talent partner to several of the highest performing hedge funds, investment banks and asset managers globally. We are their go to force multiplier for Quantitative and trade technology talent. 
+
+By solving one of the hardest challenges of today - Talent -  we create a competitive advantage for our clients. Leveraging best in class tools, tech and outreach we discover and secure some of the best technical minds in the world. 
+
+We provide Search, Multi-hire and TaaS solutions globally. We believe the key to success lies in building great teams hence - People is our strategy. 
+
+
+Specialisms: High-Frequency Trading, Quantitative Development, Quantitative Research, Systematic Trading, Low Latency infrastructure, Algorithmic Trading, Fintech, Hedge Funds, Prop Trading, Electronic Trading, Market Making, Quantitative Development, Quantitative Research, C++, Low-Level, FX, Futures, Fixed Income, Equities, Commodities.","Machine Learning EngineerTrading FirmNew York City$350,000 - $750,000 total compWe're currently working on behalf of a world leading trading firm who are looking for experienced Software Engineers with strong experience building ML systems and infrastructure to work along side the research team to implement cutting-edge ML algorithms into their trading strategies.They're looking for engineers with experience building systems from scratch in Python and building data pipelines for large amounts of real time data. As an engineer, you will be working with a dynamic team that includes some of the brightest minds in the field of quantitative trading.This is an exciting opportunity to work with a company that values talent, innovation, and autonomy. You will be challenged with new and exciting problems daily and given the opportunity to work with some of the best engineers in the industry.Required experienceBachelor's degree or higher in Computer Science, Mathematics or a related field with strong academic performance5+ years experience working on distributed systems in PythonExperience building ML infrastructure and data pipelinesPrevious experience building from scratch and the ability to take a project from start to finish with autonomyExcellent communication skills and the ability to work with cross functional teamsStrong problem-solving skills and the ability to work autonomously in a fast-paced environmentThe ability to mentor and guide, and develop junior Engineers",Mid-Senior level,Machine Learning Research Engineer
+431,2025-04-02,Beaverton,OR,Nike,nike.com/careers,"NIKE, Inc. is a purpose-driven organization energized by a shared commitment to move the world forward through the power of sport. We champion diversity and amplify individual passions to bring inspiration and innovation to every athlete* in the world.  
+
+Here, every teammate has a role to play. We work together, embracing our differences and pushing boundaries, to achieve collective success. For more information on how you can contribute to a world-class team, visit our career site at nike.com/careers and join our talent community at https://nikeats.avature.net/niketalentcommunity. ","Software Engineer - NIKE. Inc. - Beaverton, OR. Contributes to system design, capacity planning, operations, maintenance, implementation and sustainment activities across development, staging and production environment; provides support of our applications including escalation and system performance of production platforms, and perform systems analysis and tuning to ensure optimal operating systems response for multi-user applications; leads technical development of Digital Product(s) that meets the consumer needs as defined by product managers and aligns with architectural standards; develops, codes/configures, tests programs/systems and solutions problems in order to meet defined digital product specifications and direction; assesses a well-defined problem and leads the development of a technical solution that meets the needs of the business and aligns with architectural standards; manages small- to moderate-sized solutions, or plays a key role on larger teams, working within the parameters of two to three sprints; provides direction to team members and/or vendors; advises product owners on discrete technology-related business problems; formulates options, including assessing their relative merits and risks; and works with product owners to determine the best solution. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.Must have a Bachelor’s degree in Computer Science, Physics or Management Information Systems and Five (5) years of progressive post baccalaureate experience in the job offered or related computer occupation.Experience Must IncludeTeradata Snowflake AWS cloud infrastructure Unix/Linux PL/SQL, ANSI SQL, Teradata SQL, and Teradata SPL Informatica ETL Tableau and Cognos reporting JIRA project management Unix shell scripting ServiceNow incident and change management tool Data warehouse query performance tuning Apply at www.jobs.nike.com (Job# R-47110)We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.",Entry level,Software Engineer
+432,2025-03-27,Broomfield,Colorado,DigitalOcean,https://www.digitalocean.com,"DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean helps developers at startups and growing digital businesses rapidly build, deploy and scale, whether creating a digital presence or building digital products. DigitalOcean combines the power of simplicity, security, community and customer support so customers can spend less time managing their infrastructure and more time building innovative applications that drive business growth.","We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems.Key ResponsibilitiesDevelop, test, and implement predictive models and machine learning algorithms to solve business challenges.Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools.Design and execute experiments (A/B testing, causal inference, etc.) to measure the impact of business initiatives.Collaborate with stakeholders to translate business questions into data science problems and communicate findings effectively.Build and maintain data pipelines and ETL processes to ensure data quality and availability.Present data-driven recommendations to executives and cross-functional teams in a clear and actionable manner.Stay updated on the latest advancements in data science, machine learning, and AI.QualificationsMaster’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.3+ years of experience in data science, analytics, or a similar role.Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.Solid experience with SQL for querying and managing structured data.Knowledge of machine learning, statistical modeling, and optimization techniques.Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.Ability to communicate complex findings to non-technical stakeholders in a clear, concise manner.Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).Familiarity with business intelligence, marketing analytics, or financial forecasting is a plus.Preferred SkillsExperience in causal inference, econometrics, or Bayesian methods.Hands-on experience with ML Ops, model deployment, or data engineering workflows.Understanding of business metrics, growth strategies, and financial modeling.Ability to work in a fast-paced, cross-functional environment.Why You’ll Like Working for DigitalOceanWe innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.We reward our employees. The salary range for this position is $165,000 - $195,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.This is a remote role",Mid-Senior level,Data Scientist
+433,2025-03-27,San Francisco,California,Together AI,https://together.ai,"Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models. We believe open and transparent AI systems will drive innovation and create the best outcomes for society.","RoleTogether AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and effectively at scale. If you are passionate about AI inference, PyTorch, and developing high-performance systems, we want to hear from you. This position offers the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions. Join us in shaping the future at Together AI!ResponsibilitiesDesign and build the production systems that power the Together AI inference engine, enabling reliability and performance at scale.Develop and optimize runtime inference services for large-scale AI applications.Collaborate with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.Conduct design and code reviews to ensure high standards of quality.Create services, tools, and developer documentation to support the inference engine.Implement robust and fault-tolerant systems for data ingestion and processing.Requirements3+ years of experience writing high-performance, well-tested, production-quality code.Proficiency with Python and PyTorch.Demonstrated experience in building high performance libraries and tooling.Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale.Preferred: Knowledge of existing AI inference systems such as TGI, vLLM, TensorRT-LLM, OptimumPreferred: Knowledge of AI inference techniques such as speculative decoding.Preferred: Knowledge of CUDA/Triton programming.Nice to have: Knowledge of Rust, Cython and compilers.About Together AITogether AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society. Together, we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI. Our team has been behind technological advancements such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey to build the next-generation AI infrastructure.CompensationWe offer competitive compensation, startup equity, health insurance, and other competitive benefits. The US base salary range for this full-time position is $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level, and role. Individual compensation will be determined by experience, skills, and job-related knowledge.Equal OpportunityTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunities to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.Please see our privacy policy at https://www.together.ai/privacy",Entry level,Machine Learning Engineer - Inference
+434,2025-04-09,Frisco,TX,Ho2 Systems LLC,http://www.ho2systems.com,"Ho2 Systems provide consultants to organizations seeking to augment its information technology staff, offer corporate and career-focused computer software training courses.","Job Summary:We are seeking a highly skilled Data Scientist (Big Data Engineer) to support the implementation of a Fraud Analytics roadmap. This individual will play a key role in establishing new data engineering practices, collaborating with data scientists and analysts, and building scalable, reliable data pipelines that drive analytical insights and fraud detection capabilities.The ideal candidate will be a senior-level data engineering expert with a strong foundation in Python and SQL, and hands-on experience working in cloud environments—preferably Databricks on Azure.Responsibilities:Design, build, and maintain robust, scalable, and high-performance data pipelines and workflows.Collaborate with data analysts and data scientists to support their data and modeling needs.Implement best practices in data integration, transformation, and storage.Support the development and deployment of analytics models used in fraud detection.Optimize data solutions for performance, scalability, and reliability in a cloud-based environment.Provide guidance and leadership in standing up new data engineering practices across the team.",Mid-Senior level,Data Scientist (Big Data Engineer)
+435,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+436,2025-02-25,Seattle,Washington,Common Room,https://commonroom.io/?utm_source=linkedin,"Common Room helps GTM teams know who to target, when to engage, and how to convert through sophisticated signal capture, person and account identification and enrichment, and AI-powered activation agents. ","About UsCommon Room is the customer intelligence platform that captures every buying signal, giving companies superpowers with AI enrichment and automation to reach the right person with the right context at the right time.Despite an explosion of buyer signals, companies are left struggling with siloed point solution vendors, bloated tech stacks, and unactionable ""intent"" data. Common Room brings together all the buying signals you care about in one place so you can track the entire customer journey, match signals to real people and accounts, take action and automate.We’ve raised over $50 million from top-tier investors including Greylock, Index, and Madrona to build the world's first customer intelligence platform for modern B2B companies. And we’re backed by 25+ operators from the fastest-growing companies in the world such as Figma, Stripe, Airtable, Slack, Notion, Loom, and more.You + Common Room? You’d be joining a team that revels in asking hard questions, collaborating gladly, and making decisions quickly—a team that values simplicity, passion, trust, each other, and our customers above all.So hello! Please, knock on our door. We'd love to meet you.Why we need you:Your ability to work at the intersection of data science and software engineering while collaborating directly with customers and their data is your superpower. You’re able to leverage your strong statistical foundation to understand business needs, and to help derive meaningful insights from large amounts of data. You’re comfortable running one-off data assessments or building ML-based scoring models using data - customer obsessions is your north star as you dive deep into problems and propose novel solutions.Outside of this, you also identify and participate in important company-building initiatives that a fast growing startup needs.You would enjoy being a member of our team if you:Have 3+ years of experience building data or/or ML-based models leveraging industry best practices. Have exceptional SQL skills and experience with large-scale data transformation. Can shape the future of Common Room’s data capabilities by integrating data science into our product development process. Partner with customers to solve unique data challenges to optimize their workflows, and validate methodologies to develop pragmatic, scalable solutions for customers. Partner with the product team to convert data insights into product improvementsDon’t hesitate to dive into unfamiliar data and shape it to a familiar form that can be manipulated and reasoned on, and capable of making high quality technical and non-technical tradeoffsOperate independently, but don’t hesitate to seek help and support from those around you to get your job doneRevel in your craft, are excited by and capable of owning large projects primarily in the front-end domainBring your authentic self to work, and engage in candid + respectful feedbackBuild sustainably, and are capable of managing your time and priorities as best suits your needsEnjoy the journey as much as the destination, but never lose sight of the destinationDemonstrate pride, ownership, and accountability for your work, and expect the same from those you work withOur current tech stack:We choose tools that help solve the problem at hand efficiently. For our current set of problems, we prefer to primarily use TypeScript with Node.js. We use TypeGraphQL for our API endpoints, Kafka for event processing, Apollo/Express as our web server, and Postgres (hosted on RDS) + ClickHouse as our database. We use React for front-end, and AWS for our infrastructure needs. Our data is house in Snowflake, and use Python for data related work. We have infrastructure capable of running ML-models on AWS SageMaker or other platforms.Our values:Be Customer-centric - We work backwards from the needs of our customers. The crisp articulation of customer value guides our decisions. Strive for Simplicity - We choose simplicity over complexity whenever possible. We seek to identify and understand the essential quality of what we are building. Make it Happen - We are quick to take the first step, and prioritize decisiveness over fear of making a mistake. We don’t confuse motion for movement and we measure ourselves on impact over actions. We’re In this Together - We measure personal success by the success of our customers and teammates. Relationships matter, and the strongest ones are built on the foundations of trust, enablement, and transparency. Our benefits:Our investment in caring for our employees and their families is a key part of our values and culture at Common Room:Competitive base compensation with meaningful equity ownershipHealth insurance including medical, dental, and vision, HSA and FSAWe pay 100% of your employee premium and 50% of your premium for any dependentsUnlimited Paid Time OffPaid Company HolidaysWork from home policy including a laptop and support for your home office needsMonthly Remote Stipend401(k) self contributionPaid Family LeaveOpportunity to join a diverse, passionate, and fun team at a pivotal time in the company’s lifecycleCommon Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.",Entry level,Data Scientist / Engineer
+437,2025-04-03,Somerset,New Jersey,Smart IT Frame LLC,http://www.smartitframe.com,"Smart IT Frame stands as a leading NMSDC-certified IT Solutions and Servicing company, founded in 2012 with headquarters in Somerset, New Jersey. Our commitment to promoting Diversity, Equality, and Inclusion (DEI) values is unwavering. With our expertise, we support client initiatives by offering innovative IT solutions and services to leading System Integrators in the private and public sectors.
+
+Specializing in a comprehensive range of end-to-end services, including Artificial Intelligence (AI), Machine Learning (ML), IT Innovation and solutions, Cloud-based solutions, robotics process automation (RPA), cybersecurity, Identity Access Management (IAM), and more, to ensure cutting-edge solutions for our clients.
+
+Since our establishment, we've dedicated ourselves to providing exceptional services globally. Our success stories span across various industries, including banking and finance, insurance, healthcare, retail, telecommunications, manufacturing, and more.
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+Collaborating with Smart IT Frame ensures expert, top-notch services and dedicated support from a team committed to driving your success. We strive to exceed client expectations, fostering long-term relationships built on trust, reliability, and exceptional results.","ML Ops EngineerAustin, TX - (Hybrid) (3-4 days Onsite a week) FTE Only Contractor will provide suitable personnel to perform the ML Engineer role: • 10+ years’ experience• Work and collaborate with data science and engineering teams to deploy and scale models and algorithms. • Operationalize complex machine learning models into production including end to end deployment.• Understand standard Machine Learning algorithms (Regression, Classification) & Natural Language processing concepts (sentiment generation, topic modeling, TFIDF) .• Working knowledge of standard ML packages like scikit learn, vader sentiment, pandas, pyspark.• Design, Develop and maintain adaptable data pipelines to maintain use case specific data.• Integrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.• Develop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversight's model review cadence.• Support the operationalized models and develop runbooks for maintenance.",Mid-Senior level,Machine Learning Engineer
+438,2025-03-31,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Machine Learning Engineer to join our team. You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment and catalog system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You will report to the engineering manager on our New Verticals ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building.Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - New Verticals
+439,2025-04-01,London,,LumaBio Partners,www.Lumabiopartners.com,"Your trusted partner for life sciences talent. 
+
+LumaBio Partners provides bespoke recruitment strategies exclusively for the biotechnology sector, covering every phase of drug development. 
+
+With over a decade of recruitment experience placing candidates in over 26 countries, Joseph Emmott founded LumaBio Partners to enhance global health by connecting innovative biotech companies with exceptional talent. 
+ 
+LumaBio Partners does this by offering recruitment services that have been developed to support the evolving culture and ever-changing landscape of dynamic biotechs. We collaborate with organisations as an extension of HR and talent acquisition teams, immersing ourselves in your culture and providing comprehensive strategies that drive success.  
+ 
+We go beyond traditional recruitment approaches and provide you with the insights and support needed to secure high-quality talent at every level. 
+","We are currently building a Global Data Science team for a Global Infectious Disease company. We are looking for 1 Data Science Contractor to help support the project.You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.ResponsibilitiesAnalyze raw data: assessing quality and cleansingDesign accurate and scalable prediction algorithmsCollaborate with engineering team to bring analytical prototypes to productionGenerate actionable insights for business improvementsQualificationsBachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)At least 2 - 3 years' of experience in quantitative analytics or data modelingDeep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithmsFluency in a programming language (Python)Familiarity with Big Data frameworks and visualization tools.",Mid-Senior level,Data Scientist
+440,2024-12-11,San Francisco,California,sync.,https://synclabs.so/,"We’re a team of artists, engineers, and researchers building controllable AI video editing tools to unbound human creative potential.
+
+Our research team builds AI video models to understand and affect fine-grained, controllable edits on any human in any video. Our product team makes these models accessible to everyone from everyday people, professional editors and animators, developers, and businesses large or small to reach new audiences and tell outstanding stories.
+
+Our technology is used to automate lip-dubbing in localization processes in entertainment, create dynamic marketing campaigns personalized to individuals or communities, animate new characters to life in minutes instead of days, fix mistakes in post-production by making word-level edits to avoid rerecording entire scenes, and more – this is just the beginning.
+
+In the last 12 months we graduated at the top of our YC batch (W24), raised a $5.5M seed backed by GV, won the AI grant from Nat Friedman and Daniel Gross, scaled to millions in revenue – and we're only just getting started.
+
+For more information, visit https://synclabs.so/","About Sync.sync. is a team of artists, engineers, and scientists building foundation models to edit and modify people in video. Founded by the creators of Wav2lip and backed by legendary investors, including YC, Google, and visionaries Nat Friedman and Daniel Gross, we've raised 6 million dollars in our seed round to evolve how we create and consume media.Within months of launch our flagship lipsync API scaled to millions in revenue and powers video translation, dubbing, and dialogue replacement workflows for thousands of editors, developers, and businesses around the world.That's only the beginning, we're building a creative suite to give anyone Photoshop-like control over humans video – zero-shot understanding and fine-grained editing of expressions, gestures, movement, identity, and more.Everyone has a story to tell, but not everyone's a storyteller – yet. We're looking for talented and driven individuals from all backgrounds to build inspired tools that amplify human creativity.About The RoleWe're seeking an exceptional ML Engineer to expand the boundaries of what's possible with AI video manipulation. You'll work with the creators of Wav2lip to build and extend computer vision pipelines giving users unprecedented control over humans in video.What You'll DoCreate novel CV features that unlock new forms of video manipulationBuild ML pipelines that understand and modify humans in videoTransform research breakthroughs into production capabilitiesDesign systems that make complex AI feel like magic to usersPioneer new approaches to fine-grained video controlWhat You'll Need5+ years implementing computer vision and ML systems that users loveDeep expertise in PyTorch and video processing pipelinesTrack record of shipping novel ML features from concept to productionAbility to bridge cutting-edge research with practical applicationsStrong collaboration skills across research and engineering teamsPreferred QualificationsExperience with face/human detection and trackingBackground in generative AI or video understandingHistory working with large-scale video datasetsOpen source contributions to CV/ML projectsOur goal is to keep the team lean, hungry, and shipping fast.These Are The Qualities We Embody And Look For[1] Raw intelligence: we tackle complex problems and push the boundaries of what's possible.[2] Boundless curiosity: we're always learning, exploring new technologies, and questioning assumptions.[3] Exceptional resolve: we persevere through challenges and never lose sight of our goals.[4] High agency: we take ownership of our work and drive initiatives forward autonomously.[5] Outlier hustle: we work smart and hard, going above and beyond to achieve extraordinary results.[6] Obsessively data-driven: we base our decisions on solid data and measurable outcomes.[7] Radical candor: we communicate openly and honestly, providing direct feedback to help each other grow.",Entry level,Machine Learning Engineer
+441,2025-04-07,San Francisco,CA,Instacart,https://www.instacart.com,"Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop. The company partners with more than 1,500 national, regional, and local retail banners to facilitate online shopping, delivery and pickup services from more than 85,000 stores across North America on the Instacart Marketplace. Instacart makes it possible for millions of people to get the groceries they need from the retailers they love, and for approximately 600,000 Instacart shoppers to earn by picking, packing and delivering orders on their own flexible schedule. The Instacart Platform offers retailers a suite of enterprise-grade technology products and services to power their e-commerce experiences, fulfill orders, digitize brick-and-mortar stores, provide advertising services, and glean insights. With Instacart Ads, thousands of CPG brands – from category leaders to emerging brands – partner with the company to connect directly with consumers online, right at the point of purchase. With Instacart Health, the company is providing tools to increase nutrition security, make healthy choices easier for consumers, and expand the role that food can play in improving health outcomes. For more information, visit www.instacart.com/company. ","We're transforming the grocery industryAt Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.OverviewWe are looking for economists and machine learning engineers to join our fast-moving team. The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making.There is tremendous opportunity in front of us, and joining now gives you a chance to grow your career and interests as we succeed.About The RoleThe ideal candidate for this role will bring a combination of experience in both economics and machine learning. This might be a recent economics PhD graduate with relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to machine learning coursework and applications. We are also interested in candidates with industry experience in the creation, deployment, and maintenance of machine learning models at scale, especially if they have some background or experience in economics or an economics-adjacent field. More senior candidates are also welcome to apply. About The TeamThe Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.About The JobYou will help design and build end-to-end machine learning solutionsYou will be working in small and cross-functional product teams, with great opportunities for growth and ownership of projectsYou will be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and research across many domainsYou will develop high impact solutions to support Instacart's ambitious growth plansYou will work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experimentsYou will have the freedom to suggest and drive organization-wide initiatives ABOUT YOU This section must have two lists: Minimum & PreferredMinimum QualificationsGraduate-level research experience on data-intense problems or 1+ years of industry experience in machine learning or economics-focused roles.A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.Expertise in causal inference with observational and experimental data.Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality.Willing and able to travel internationally based on job requirementsSelf-motivation and a strong sense of ownershipPreferred QualificationsPhD in Economics with focus on data-intense problems or 3-5 years of industry experience in machine learning or economics-focused roles.A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.Expertise in causal inference with observational and experimental data.Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality.Willing and able to travel internationally based on job requirementsSelf-motivation and a strong sense of ownershipNice to have: Experience with training large-scale models and model deployment on cloud services (Docker, AWS/GCP/Azure).Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.For US based candidates, the base pay ranges for a successful candidate are listed below.CA, NY, CT, NJ$179,000—$199,000 USDWA$172,000—$191,000 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$165,000—$183,000 USDAll other states$149,000—$165,000 USD",Entry level,"Machine Learning Engineer II, Economist"
+442,2025-04-01,Houston,Texas,Tekmetric,https://www.tekmetric.com/,"Tekmetric, a leading auto repair technology company, improves auto repair shops through the relentless pursuit of innovation. Tekmetric’s cloud-based shop management solution, including a shop management system, integrated payments, technology integrations and real-time data, empowers auto repair shops nationwide. With Tekmetric, shop owners can create transparency, enhance productivity, increase profitability, and deliver a superior customer experience for vehicle owners. ","About TekmetricTekmetric is a cloud-based auto-repair shop management system with an easy-to-use workflow and a modern approach to customer care. Tekmetric champions transparency, integrity, innovation—and above all—a service-mentality that puts customers first.Founded in Houston, Texas in 2015, Tekmetric has been providing reliable, fast customer service to shops from day one. Our team is growing quickly, but our service philosophy of listening to customers still remains a core value.We’re looking for hungry candidates to help us strengthen our industry-leading team. We’re building our software to be more intuitive. We’re building more integrations that make our customers’ lives easier. We’re building better internal processes to make our globally distributed organization run more smoothly. We’re building stronger relationships with the best and brightest partners in our industry.Our customers love our products. We love serving them. And we love the journey we’re on together.Come build with us!What You’ll DoWe are looking for a Machine Learning Engineer specializing in NLP, document classification, and large-scale data processing. You will work on applying LLMs, NLP, and ML techniques to categorize and process extracted data. Your work will power an intelligent search system and help organize massive amounts of structured and unstructured information.Develop and train NLP & ML models for document classification, text extraction, and entity recognition.Experiment with LLMs (GPT, Llama, Claude, etc.), embeddings, transformers, and vector databases.Build pipelines that combine rule-based methods with ML models for classification.Apply OCR techniques to extract structured data from PDFs and scanned documents.Fine-tune and optimize models for scalability, latency, and cost-efficiency.Deploy ML models in production using Kubernetes, AWS (SageMaker, Lambda, EMR), and Airflow.Collaborate with data engineers to integrate ML models into search APIs and data pipelines.Utilize Spark (EMR) or distributed computing for large-scale ML processing.What You’ll Bring3+ years of experience in Machine Learning & NLP.Strong Python skills and experience with ML/NLP frameworks like Hugging Face, spaCy, NLTK, TensorFlow, PyTorch etc.Familiarity with transformer-based architectures (BERT, GPT, T5, etc.).Experience with text classification, embeddingsKnowledge of OCR (Tesseract, Amazon Textract, or OpenCV-based techniques).Hands-on experience with AWS services, Kubernetes, and workflow orchestration (Airflow).Strong understanding of information retrieval, search ranking, and ElasticSearch/OpenSearch.Nice to HaveExperience fine-tuning LLMs for domain-specific applications.Experience with RAG and vector databases (FAISS, Pinecone, Weaviate, Vespa, etc.).Working knowledge of knowledge graphs, embeddings, or multimodal ML.Experience optimizing ML models for real-time processing in production environments.Who You AreSuccessful candidates will also demonstrate many of the characteristics that our core values represent:Build things that matter: You have a love of building something new or improving on current processes and care about making a positive difference.We’re all entrepreneurs: You love learning new things and are comfortable working in a startup-like, dynamic environment -- moving quickly, even in the face of ambiguity. You are a self-directed leader who can jump in, structure their own work, and figure out how best to execute a plan yourself and with others. At Tekmetric our leaders are all players and coaches.Yes before no: You keep an open mind and are excited about new ideas and helping others actualize their ideas. You are intellectually curious and analytical in a strategic context.We matter to each other: You care about people and see the success of one is success for us all. You are a highly ethical individual with unquestioned integrity and the experience, confidence, and stature to protect confidential information in a growing company.What We OfferHealthcare Insurance and Leave:Flexible and remote work opportunitiesGenerous PTOExceptional leave programs for all of life’s moments: maternity, paternity and parental bonding, as well as medical leave to care for yourself or loved onesExcellent Medical, Dental, Vision and Prescription Drug CoverageFinancial Benefits401(k) Retirement Savings Plan with a 6% MatchEmployer covered STD, LTD, Life and AD&D Insurance ProgramsUp to $60 monthly for wellness expenses and activitiesEducation Assistance- includes undergraduate/graduate courses and continuing educationMost importantly, we have a stellar team of coworkers, a really cool office, and lots of fun activities!Tekmetric is an equal opportunity employer. We hire hard working individuals, regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status. We know that when our employees feel appreciated and included, they can be more creative, innovative and successful.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.",Entry level,Machine Learning Engineer
+443,2025-04-08,Mclean,VA,Technology Ventures,http://www.tventures.net,"Technology Ventures is a leading technology services company delivering a broad portfolio of business and technology solutions and staffing to help its clients improve their business performance. Our core portfolio comprises information-technology staffing, software applications and business process outsourcing services to clients in the financial services, healthcare, communications, consumer and retail industries and to governments.","Focused on manipulating data in a software engineering capacity. Some of that data might live in relational systems, but its increasingly moving towards NoSQL systems and data lakes. Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information. Construct datasets that are easy to analyze and support company requirements. Combine raw information from different sources to create consistent and machine-readable formats. Skills: This IT role requires a significant set of technical skills, including a deep knowledge of SQL, data modeling, and tools like Spark/Hive/Airflow. Education/Work Experience: 1) Bachelor degree in Computer Science, Information Systems or related field 2) Post-graduate degree desired 3) Professional certification(s) desired 10+ years relevant experience",Mid-Senior level,Machine Learning/AI Engineer
+444,2025-04-01,Deerfield,IL,Walgreens,http://www.walgreens.com,"Walgreens (www.walgreens.com) is included in the U.S. Retail Pharmacy Segment of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global leader in retail pharmacy. As America’s most loved pharmacy, health and beauty company, Walgreens purpose is more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving approximately 9 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with platforms bringing together physical and digital, supported by the latest technology to deliver high-quality products and services in local communities nationwide.","Job SummaryAs a Senior Machine Learning Engineer, you will play a pivotal role in driving the development, deployment, and scaling of machine learning models and systems. You will be involved in complex machine learning initiatives, mentor junior and intermediate engineers, and collaborate closely with engineering, product, and data science teams. With your deep expertise in ML engineering and a focus on best practices, you’ll ensure that our solutions are robust, scalable, and aligned with business goals. You will also drive improvements in deployment practices, including API integration, CI/CD pipelines, and container orchestration using modern technologies.Job ResponsibilitiesDevelops software that processes, stores and serves data and machine learning models for use by others.Develops large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and intelligence to support business needs.Writes ETL (Extract / Transform / Load) or ELT processes, designs data stores and develops tools for real-time and offline analytic processing on premise or on cloud infrastructure.Develops and maintains optimal data pipelines into the ML and advanced analytics platform, including design of data flows, procedures, and schedules. Ensures that optimal data pipelines are scalable, repeatable and secure.Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.Anticipates and prevents problems and roadblocks before they occur.Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.Collaborates with AI/ML scientists and data scientists to prepare data for model development, and to deploy models to production.About WalgreensFounded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations, and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni-channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients’ care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions.Bachelor's degree and at least 4 years of experience in machine learning, software engineering, or data engineeringDeep knowledge of SQLSignificant experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or JavaExperience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.Experience presenting to all levels of an organizationAt least 2 years of experience contributing to financial decisions in the workplaceAt least 2 years of direct leadership, indirect leadership and/or cross-functional team leadershipWilling to travel up to 10% of the time for business purposes (within state and out of state).Graduate degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering.Strong experience designing and implementing monitoring and alerting systems for cloud-based applications, including log management and analysis tools (e.g., ELK stack, Splunk).Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services, as well as deploying ML models at scale in production using open-source tools (e.g., Kubeflow, Seldon).Proficiency in CI/CD practices for AI/ML model development and deployment, with experience using tools such as Azure DevOps, Tekton, or GitHub Actions.Experience with Infrastructure as Code (IaC) tools, particularly Terraform.Familiarity with DAG-based workflow orchestration systems (e.g., Airflow, Prefect) and data processing pipelines using Apache Spark or Databricks.Experience working with ML registries (e.g., MLFlow) and deploying event-driven or reactive ML applications.Strong background in deploying and maintaining ML systems for both batch and streaming data.Expertise in troubleshooting distributed systems, optimizing performance, and reducing costs in cloud environments.Proficient in writing and deploying production-grade Python applications and libraries.Experience with REST API development and configuring Kubernetes in multi-tenant environments.We will consider employment of qualified applicants with arrest and conviction records.$127500 - $204000 / SalariedBasic QualificationsBachelor's degree and at least 4 years of experience in machine learning, software engineering, or data engineeringDeep knowledge of SQLSignificant experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or JavaExperience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.Experience presenting to all levels of an organizationAt least 2 years of experience contributing to financial decisions in the workplaceAt least 2 years of direct leadership, indirect leadership and/or cross-functional team leadershipWilling to travel up to 10% of the time for business purposes (within state and out of state).Preferred QualificationsGraduate degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering.Strong experience designing and implementing monitoring and alerting systems for cloud-based applications, including log management and analysis tools (e.g., ELK stack, Splunk).Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services, as well as deploying ML models at scale in production using open-source tools (e.g., Kubeflow, Seldon).Proficiency in CI/CD practices for AI/ML model development and deployment, with experience using tools such as Azure DevOps, Tekton, or GitHub Actions.Experience with Infrastructure as Code (IaC) tools, particularly Terraform.Familiarity with DAG-based workflow orchestration systems (e.g., Airflow, Prefect) and data processing pipelines using Apache Spark or Databricks.Experience working with ML registries (e.g., MLFlow) and deploying event-driven or reactive ML applications.Strong background in deploying and maintaining ML systems for both batch and streaming data.Expertise in troubleshooting distributed systems, optimizing performance, and reducing costs in cloud environments.Proficient in writing and deploying production-grade Python applications and libraries.Experience with REST API development and configuring Kubernetes in multi-tenant environments.We will consider employment of qualified applicants with arrest and conviction records.",Not Applicable,Senior Machine Learning Engineer I
+445,2025-03-09,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is seeking AI Software Engineers to join. The ideal candidate will have industry experience working on computer vision and NLP related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist in our era. We are hiring in multiple locations.Software Engineer, Computer Vision Responsibilities:Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiencesAssist in goal setting related to project impact, AI system design, and ML rigorDrive large efforts across multiple teamsMentor other AI Engineers and improve the quality of AI work in the broader teamDevelop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approachesApply in-depth knowledge of how the machine learning system interacts with the other systems around itMinimum Qualifications:Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, Machine Learning or artificial intelligenceBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or PythonPreferred Qualifications:Experience with distributed systems or on-device algorithm developmentExperience in deep learning and PyTorchExperience in language guided vision systemsAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Computer Vision"
+446,2025-04-09,Mountain View,CA,Google,https://goo.gle/3DLEokh,"A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
+
+Check out our career opportunities at goo.gle/3DLEokh","This role may also be located in our Playa Vista, CA campus.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Chicago, IL, USA; Mountain View, CA, USA; New York, NY, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.Minimum qualifications:Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.Experience with data science tech stack (e.g., Python) and database languages (e.g. SQL).Preferred qualifications:PhD degree in Computer Science, Statistics, or other relevant quantitative disciplines, or an equivalent amount of machine learning experience.Familiarity with reporting solutions, and visualization/dashboarding tools.Proven ability to translate ambiguous business needs into clear technical requirements for impactful data products.Ability to take initiative with excellent leadership and communication skills.Comfortable with engineering best practices, including developing BRDs/PRDs/Design Docs, code reviews, etc., ensuring analytical accuracy.About The JobWe are a data science team that use AI/ML to enable Google’s people analytics strategy. We build AI solutions that empower people analysts and leaders to make data-driven decisions, and inspire People Analytics to be on the cutting-edge. We achieve this through a culture of continuous learning, sharing, and growth.This is a unique opportunity at Google to be at the forefront of applying AI/ML to solve complex people-analytics challenges at a global scale. In this role, you'll leverage Google's people data and cutting-edge technology to develop and deploy innovative solutions that directly impact Googlers' lives. You'll also play a crucial role in shaping the future of people analytics by collaborating with cross-functional teams, upskilling colleagues in AI/ML, and fostering a data-driven culture within people operations. This role offers the chance to make a real difference in the lives of Googlers while contributing to the advancement of AI/ML in the HR domain.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .ResponsibilitiesDesign and implement robust data pipelines to collect, process, and transform complex and large data sets from various data sources.Develop various types of machine learning models, conducting model evaluation, and collaborating with engineering teams to deploy the models into a production environment.Develop and apply Natural Language Processing (NLP) models (such as sentiment analysis, topic modeling, etc.) to extract insights from unstructured text data.Collaborate with cross-functional teams within POps and HR Engineering organizations to understand the business problem, define project scope, gather the requirements, and develop ML solutions that address the problem effectively.Communicate technical concepts and findings to both technical and non-technical audiences, enabling POps stakeholders to make informed decisions about Googlers.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .",Not Applicable,"Business Data Scientist, AI Analytics"
+447,2025-04-01,Palo Alto,California,AI Fund,https://www.aifund.ai/,"Who is AI Fund? 
+
+We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence. 
+
+Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock.
+
+How Are We Different? 
+
+We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge. 
+
+We believe the best way to help entrepreneurs is  by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most. 
+
+Why Work With AI Fund? 
+
+Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success.
+
+We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.","About BasetenJoin our dynamic team at Baseten, where we’re revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by premier investors such asTHE ROLEAs a Machine Learning Engineer specializing in Fine-Tuning at Baseten, you'll create exceptional value for customers by leveraging our world-class infrastructure to fine-tune large language models and/or other modalities, working directly with customers to achieve their specific goals. You'll build scalable pipelines, implement parameter-efficient techniques, and ensure a seamless transition to inference. This customer-facing role requires both technical expertise in foundation model adaptation and the ability to translate customer needs into effective solutions. You'll also help shape our product roadmap by identifying common patterns in customer requirements and working with product teams to develop reusable components and features , reducing the need for custom services and streamlining the fine-tuning process for everyone.ResponsibilitiesDesign comprehensive fine-tuning strategies that translate customer requirements into effective technical approaches—finding the optimal combination of data preparation, training techniques, and evaluation methods to deliver solutions that precisely address customer needsDevelop tools to enable non-ML experts to fine-tune models effectivelyDesign and implement scalable fine-tuning pipelines for large language models and other AI modalitiesWork directly with customers to understand requirements and guide technical implementationServe as the technical point of contact for customers throughout their fine-tuning journeyUtilize state-of-the-art parameter-efficient fine-tuning methods (LoRA, QLoRA)Build systems for efficient data preparation, evaluation, and deployment of fine-tuned modelsResearch and apply cutting-edge techniques in instruction tuning and model customizationCreate frameworks to evaluate fine-tuned model performance against base modelsImplement best-in-class distributed training techniques like FSDP and DDP across various hardware configurationsRequirementsBachelor’s degree in Computer Science, Engineering, or related field3+ years of experience in ML engineering with focus on model training and fine-tuningExperience with advanced fine-tuning frameworks such as Axolotl, Unsloth, Transformers, TRL, PyTorch Lightning, or Torch Tune, enabling efficient model adaptation and optimizationHands-on experience fine-tuning or pre-training LLMs or other foundation modelsExcellent communication skills for explaining complex concepts to varied audiencesNICE TO HAVEExperience working with customers to deliver technical solutionsTrack record of delivering ML projects to enterprise customersKnowledge of distributed training systems and efficiency optimization techniquesExperience with advanced alignment and adaptation techniques including RLHF, DPO, constitutional AI, prompt tuning, reinforcement learning with execution feedback, PPO, or other emerging alignment methodsKnowledge of prompt engineering and domain adaptation methodsContributions to open-source fine-tuning projects or toolsExperience building user-friendly interfaces for fine-tuning workflowsExperience with cloud platforms (AWS, GCP, Azure) and containerization technologiesBenefitsCompetitive compensation package (Flexible PTO, covered healthcare premiums for you and your dependents)A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our eraAn inclusive and supportive work culture that fosters learning and growthExposure to a variety of ML startups, offering unparalleled learning and networking opportunitiesApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.",Mid-Senior level,Machine Learning Engineer - Fine Tuning
+448,2025-03-17,San Diego,California,BICP,http://www.bicp.com/,"BICP is a technology agnostic and vendor neutral consulting firm focused on helping large enterprise customers derive the maximum business value from Advanced Analytics, Data Science and Innovation Platform investment. In a world of constant innovation and associated product hype it’s often a challenge to discern what solution is ‘real’ and which offers a quantifiable competitive advantage for your line of business. With our deep experience across a wide array of platforms, data management tools and business applications; coupled with our expertise supporting a variety of large cloud, on premise and hybrid environments, we have the required technical knowledge and product ambiguity to recommend and deliver an integrated solution aligned to your critical business data needs. ","BICP, a leader in the delivery of advanced, innovative AI & ML data products for large enterprise customers, is looking to hire a hyper-motivated AI/ML Data Engineer with at least 1 year of experience in Data Engineering, along with hands-on experience in Databricks and experience with at least 1 AI/ML project. This role is ideal for someone who is passionate about designing, building, and optimizing data pipelines for AI-driven applications.We are looking for an engineer that has experience in model serving/training across DBX/Azure/Bedrock with an understanding of LLM deployment at scale. This individual will showcase proficiency in model selection & deployment with a focus on observability and templatization of workflows. Engineer will understand how to deploy local models on DBX as well as integrate serving API endpoints for external models within the platform.As part of our team, you will work closely with Data Scientists, AI Engineers, and Software Developers to build scalable and efficient data infrastructure, enabling machine learning model development and deployment. Our long standing client is one of the largest, most iconic, fashion and apparel brands globally and is currently making substantial investments in industry defining technologies which you will be right in the center of.What you will supportDesign, develop, and optimize ETL/ELT pipelines to support AI/ML workloads.Implement data processing workflows on Databricks, leveraging Apache Spark for large-scale data transformations.Collaborate with Data Scientists to prepare and serve high-quality data for model training and inference.Develop and maintain data lakes, warehouses, and feature stores for AI applications.Ensure data reliability, security, and compliance with industry best practices.Optimize ML model deployment pipelines for scalability and efficiency.Work with cloud platforms like AWS, Azure, or GCP to integrate and manage AI/ML workloads.What you bring to the table1+ year of Data Engineering experience (ETL, Data Pipelines, SQL, Spark).Hands-on experience with Databricks/DBX (at least 1 project).Experience with AI/ML projects (Azure AI preferred), at least 1 project & understanding of ML workflows, feature engineering, and model deployment.Familiarity with TerraformPrior experience with JenkinsHands-on experience with Amazon BedrockStrong programming skills in Python Familiarity with SQL for data querying and optimization.Experience with cloud data services (AWS, Azure, or GCP).Nice-to-HaveKnowledge of MLOps tools and CI/CD pipelines for ML models.Experience with feature stores and model serving frameworks (MLflow, Kubeflow).Exposure to real-time data processing (Kafka, Spark Streaming).Experience with containerization (Docker, Kubernetes).Why Join Us?Opportunity to work on cutting-edge AI/ML applications.Hands-on experience with the latest cloud and big data technologies.A collaborative environment with opportunities for growth and mentorship.Competitive salary and career development programs.If you are eager to apply your data engineering skills in AI/ML and grow in a dynamic environment, we’d love to hear from you!*** Please note: We require candidates with the ability to be onsite in Beaverton, OR Monday – Friday. Accepting only candidates local or willing to relocate at their own expense.About BICPBICP is a consulting firm focused on delivering leading-edge AI/ML solutions to our customers. With deep experience across a diverse ecosystem of analytical products and cloud-based platforms we have the required product ambiguity and expertise to deliver best in breed solutions tailored to our client’s critical business data needs.BICP is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.",Associate,AI/ML Data Engineer
+449,2025-03-29,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamsE-commerce - Recommendation and MarketingE-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and research scientists that focus on E-commerce recommendations. We are responsible for building up and scaling our recommendation system to provide the most stable and best shopping experience for our TikTok users.E-commerce - AllianceThe E-commerce Alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.E-commerce - SearchThe Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world. Our mission is to build a world where ""there is no hard-to-sell good-priced product in the world"".E-commerce - Search GrowthThe Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where ""there are no hard-to-sell, overpriced products.""What You Will Do Responsible for the build and design of optimization algorithm strategies for large-scale (10 million to 100 million products or creators' contents) e-commerce recommendation algorithm pipeline Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently. Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. Design and build supporting/debugging tools as needed.QualificationsQualifications Bachelor above degree in computer science or relevant areas. 3+ years of experience with a solid foundation in data structure and algorithm design, and be proficient in using one of the programming languages such as Python, Java, C++, R, etc.; Familiar with common machine/deep learning, causal inference, and operational optimization algorithms, including classification, regression, clustering methods, as well as mathematical programming and heuristic algorithms; Familiar with at least one framework of TensorFlow / PyTorch / MXNet and its training and deployment details,as well as the training acceleration methods such as mixed precision training and distributed training; Familiar with big data related frameworks and application, those who are familiar with MR or Spark are preferredPreferred Qualifications Experience in recommendation systems, online advertising, ranking, search, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Recommendation - E-Commerce"
+450,2025-04-02,,,Altea Healthcare,http://alteahc.com,"ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. With a patient-centric approach, ALTEA Healthcare strives to enhance patient outcomes and improve the overall healthcare experience. ALTEAs expertise lies in connecting the various silos within outpatient healthcare, fostering collaboration, and integrating data for better coordination and streamlined workflows.
+
+ALTEA Healthcare offers a comprehensive range of services, including provider services, medical directorship, and advanced technology solutions tailored specifically for outpatient facilities and clinics. By combining skilled professionals, innovative technology, and a commitment to quality care!","Machine Learning Engineer, GenAIThis position requires candidates to work in-office at our Houston, TX location.ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. We are seeking a Machine Learning Engineer to join our team. The ideal candidate will have a strong background in deploying scalable GenAI models. As an important member of the AI team, this person will contribute significantly to designing, implementing, and deploying various AI/ML product features to improve care delivery and quality for post-acute patients.Responsibilities:Develop and deploy production-ready AI/ML models, with a focus on scalability and monitoring across a broad range of applications within healthcareWrite efficient, maintainable, and scalable Python codeCollaborate with machine learning scientists, data engineers, front end, back end developers to write production-ready codeSet up and maintain end-to-end pipelines including data ingress, egress, model inference, and model retrainingIncorporate feedback from cross-functional teams and refine the ML-driven applications through quick iteration cyclesMaintain best software engineering and MLOps practices within the healthcare industryDocument the system architecture, design decisions, and codebase to facilitate future maintenance and enhancementsKey Responsibilities and Qualifications:Proven experience in deploying, scaling, integrating, and maintaining generative AI applications.Strong understanding and experience in software engineering and MLOps best practicesExperience with unit testing and regression testing to ensure quality and stability.Preferred: Experience working with Azure DevOps, Azure App Services, and Azure Functions.Preferred: Experience with fine-tuning and pre-training language models and embedding models.Note: This role is specifically focused on the deployment and integration of generative AI applications. It is not intended for data scientists, individuals primarily focused on building dashboards, or those with experience limited to traditional ML models and model development.Other Requirements:Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent experienceAt least 1-2 years of relevant experience as an ML Engineer or software engineerExperience writing production-ready code, troubleshooting and bug fixingStrong proficiency in LangChain, vectorDB and cloud platforms (Azure)Experience with MLOps, monitoring, and CI/CDExperience with transformer-based models,NLP, LLM models, preferably for biomedical/healthcare applicationsStrong interest in healthcare, with preferred experience working with healthcare dataBonus: experience with RAG and AgentsAbility to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelinesCandidates should be able to articulate why they are looking to leave their current role and what they are seeking in a new opportunity.Visa and Sponsorship Information:Please note that Altea Healthcare does not offer sponsorship for work visas, visa transfers, or Corp-to-Corp (C2C) arrangements. Applicants must be authorized to work in the United States without sponsorship.Job Type: Full-timePay: Competitive pay, benefits, and extremely valuable startup stock optionsSchedule: Full TimeBenefits:Dental insuranceHealth insuranceVision insurance",Mid-Senior level,Machine Learning Engineer
+451,2025-04-09,Miami,Florida,Hut 8,https://hut8.com/,"Hut 8 Corp. (NASDAQ, TSX: HUT) is an energy infrastructure platform integrating power, digital infrastructure, and compute at scale to fuel next-generation, energy-intensive use cases such as Bitcoin mining and high-performance computing. 
+
+We take a power-first, innovation-driven approach to developing, commercializing, and operating the critical infrastructure that underpins the breakthrough technologies of today and tomorrow. Our platform spans 1,020 megawatts of energy capacity under management across 15 sites in the United States and Canada: five Bitcoin mining, hosting, and Managed Services sites in Alberta, New York, and Texas, five high performance computing data centers in British Columbia and Ontario, four power generation assets in Ontario, and one non-operational site in Alberta.","About Hut 8Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world’s largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you’re an ambitious individual looking for a career that is as rewarding as it is challenging, you’ve come to the right place.About The RoleAs a Data Scientist, you will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights and support data-driven decision-making. You will work closely with cross-functional teams to develop machine learning models, algorithms, and statistical analyses to solve business problems and optimize processes. Additionally, you will be involved in data cleaning, data preprocessing, and data visualization tasks to ensure data quality and communicate findings effectively to stakeholders.Some of the key responsibilities you should expect are the following:Collect and preprocess data from various sources to ensure data quality and integrity. Develop and implement machine learning models, algorithms, and statistical analyses to extract insights and solve business problems. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.Conduct exploratory data analysis to identify trends, patterns, and outliers in the data. Communicate findings and recommendations to non-technical stakeholders through data visualization, reports, and presentations. Stay updated with the latest trends and advancements in data science and machine learning techniques.About YouMaster's degree in Computer Science, Statistics, Mathematics, or a related field (or a bachelor's degree with several years of work experience). Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Experience with machine learning algorithms, data mining, and statistical analysis. Excellent communication and teamwork abilities. Ability to work in a fast-paced and dynamic environment.About The Work EnvironmentThis role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.What Makes Hut 8 a Great Place To WorkHut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality.At Hut 8, You Will Have The Opportunity To▶ Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting▶ Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government▶ Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team▶ Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure",Entry level,Data Scientist
+452,2025-04-03,Plantation,Florida,Chewy,http://careers.chewy.com,"At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. 
+
+We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
+
+We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
+
+At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
+
+Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
+
+We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
+
+We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.","Our OpportunityChewy is growing! The Enterprise People Analytics team at Chewy is building advanced AI and machine learning solutions to redefine HR decision-making. As a Machine Learning Engineer (MLE) focused on AI product development, you will design and deploy innovative machine learning models, mentor junior Team Members, and drive the production of scalable AI solutions that empower Chewy’s HR function.This role blends deep technical expertise, critical thinking, and a passion for solving complex HR challenges with machine learning and AI. You’ll collaborate with data scientists, engineers, and business intelligence guides to transition research into robust, business-aligned AI products. With a strong focus on unstructured data, dynamic graph analysis, and LLM-backed text analytics, this position offers the opportunity to make a relevant impact on how Chewy attracts, develops, and retains talent. Does this sound like you? We'd love to hear from you!Key ResponsibilitiesDevelop and Deploy AI Solutions: Design, implement, and deploy advanced machine learning models to address HR-specific challenges, including talent management, workforce planning, and employee engagement.Scalable AI Product Development: Create and maintain long-term development roadmaps for AI solutions, ensuring scalability, maintainability, and alignment with business priorities.Research to Production: Collaborate with data scientists, machine learning engineers, and business intelligence engineers to transition research and visualization prototypes into production-grade applications.Unstructured Data Analysis: Lead research projects involving unstructured data, including natural language processing (NLP), dynamic graph data, and LLM-backed text analytics to uncover actionable insights.Mentorship and Leadership: Provide technical mentorship to junior data scientists, fostering their growth in both technical expertise and discernment.Model Evaluation and Monitoring: Implement thorough model evaluation processes and monitoring pipelines to ensure deployed models remain accurate, fair, and reliable over time.HR Collaboration: Partner with HR leaders and business teams to align AI efforts with organizational goals and deliver important, actionable insights.QualificationsTechnical Expertise: Sophisticated knowledge of machine learning, statistical modeling, and AI methodologies, with hands-on experience in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Experience with Unstructured Data: Strong experience working with unstructured data, including text and dynamic graph datasets.Product Development: Track record of design and deploy production-grade AI systems, including scalability and maintainability considerations.Cloud and MLOps: Experience with cloud-based environments and familiarity with MLOps tools for model deployment, versioning, and monitoring.Eye For Business: Ability to align AI solutions with organizational priorities, translating technical capabilities into business value.Mentorship Skills: Consistent track record to mentor junior Team Members, enhancing their technical skills and critical thinking.Preferred SkillsExperience with LLMs and text analytics frameworks.Proficiency in dynamic graph analytics tools such as NetworkX or Neo4j.Familiarity with monitoring and observability tools for AI pipelines (e.g., MLflow, Prometheus, or Grafana).Knowledge of security standard methodologies in AI and ML deployments.The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.We offer different types of insurance, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.Salaried-exempt team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.Pay Range$125,000—$199,500 USDChewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.If you have a question regarding your application, please contact HR@chewy.com.To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.",Entry level,Machine Learning Engineer II
+453,2025-04-08,West Chester,Pennsylvania,Lensa,https://lensa.com,"What if we could take the search out of job search? This is the question
+Lensa has been answering since launching in San Francisco, California in
+August 2016. Using machine learning, we instantly provide companies with
+candidates and match professionals with positions that fit their skills,
+goals, personalities, and needs.
+How does it work? Lensa applies complex algorithms that identify the
+skills needed to succeed on a given job. Candidates can play computer
+games that assess their work style, thus gaining insight into their strengths
+while unlocking career opportunities.
+The result: job search that puts people first while reducing the time and
+cost of talent acquisition.
+
+Lensa passed 10 million job seeker registrations in 2019, making the com-
+pany one of the premier career platforms.
+
+With teams in multiple U.S. locations and a 60-strong crew of developers
+and data scientists at its R & D headquarters in Europe, Lensa is working
+every day to share its transformative career technology with the world.","Lensa is the leading career site for job seekers at every stage of their career. Our client, Apple, is seeking professionals in Sunnyvale, CA. Apply via Lensa today!Machine Learning Engineer, Ai & Data PlatformSunnyvale, California, United States Corporate FunctionsSummaryPosted: Mar 05, 2025Weekly Hours: 40Role Number: 200588535The people here at Apple don’t just build products — we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. A passion for product ownership and track record will prove critical to success on our team. Be ready to make something extraordinary when here. Multifaceted, encouraging people and innovative, industry-defining technologies are the norm at Apple. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day to day basis? Join the AI & Data Platform (AiDP) team and empower Apple's business groups with cutting-edge ML, data, and analytics solutions. This position is an extraordinary opportunity for a competent, experienced, and results-oriented machine learning engineer to define and build some of the best-in-class machine learning platforms and products that drive business outcomes across Retail, iTunes, Marketing, and more.DescriptionOur Machine Learning Engineers work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.Minimum QualificationsStrong proficiency in programming languages like Java or Python Solid understanding of Data Structures and Algorithms. 3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring, and model refresh management. 1+ years experience working with NLP and GenAI frameworks (LangChain, LlamaIndex, etc.) Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes). Preferred QualificationsExperience handling large-scale datasets and data-driven applications. Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs. Excellent communication and experience working with multi-functional teams Pay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)Apple FooterApple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.",Entry level,"Machine Learning Engineer, Ai & Data Platform"
+454,2025-04-04,Plantation,Florida,Chewy,http://careers.chewy.com,"At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. 
+
+We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
+
+We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
+
+At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
+
+Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
+
+We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
+
+We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.","Our OpportunityChewy is growing! The Enterprise People Analytics team at Chewy is building advanced AI and machine learning solutions to redefine HR decision-making. As a Machine Learning Engineer (MLE) focused on AI product development, you will design and deploy innovative machine learning models, mentor junior Team Members, and drive the production of scalable AI solutions that empower Chewy’s HR function.This role blends deep technical expertise, critical thinking, and a passion for solving complex HR challenges with machine learning and AI. You’ll collaborate with data scientists, engineers, and business intelligence guides to transition research into robust, business-aligned AI products. With a strong focus on unstructured data, dynamic graph analysis, and LLM-backed text analytics, this position offers the opportunity to make a relevant impact on how Chewy attracts, develops, and retains talent. Does this sound like you? We'd love to hear from you!Key ResponsibilitiesDevelop and Deploy AI Solutions: Design, implement, and deploy advanced machine learning models to address HR-specific challenges, including talent management, workforce planning, and employee engagement.Scalable AI Product Development: Create and maintain long-term development roadmaps for AI solutions, ensuring scalability, maintainability, and alignment with business priorities.Research to Production: Collaborate with data scientists, machine learning engineers, and business intelligence engineers to transition research and visualization prototypes into production-grade applications.Unstructured Data Analysis: Lead research projects involving unstructured data, including natural language processing (NLP), dynamic graph data, and LLM-backed text analytics to uncover actionable insights.Mentorship and Leadership: Provide technical mentorship to junior data scientists, fostering their growth in both technical expertise and discernment.Model Evaluation and Monitoring: Implement thorough model evaluation processes and monitoring pipelines to ensure deployed models remain accurate, fair, and reliable over time.HR Collaboration: Partner with HR leaders and business teams to align AI efforts with organizational goals and deliver important, actionable insights.QualificationsTechnical Expertise: Sophisticated knowledge of machine learning, statistical modeling, and AI methodologies, with hands-on experience in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Experience with Unstructured Data: Strong experience working with unstructured data, including text and dynamic graph datasets.Product Development: Track record of design and deploy production-grade AI systems, including scalability and maintainability considerations.Cloud and MLOps: Experience with cloud-based environments and familiarity with MLOps tools for model deployment, versioning, and monitoring.Eye For Business: Ability to align AI solutions with organizational priorities, translating technical capabilities into business value.Mentorship Skills: Consistent track record to mentor junior Team Members, enhancing their technical skills and critical thinking.Preferred SkillsExperience with LLMs and text analytics frameworks.Proficiency in dynamic graph analytics tools such as NetworkX or Neo4j.Familiarity with monitoring and observability tools for AI pipelines (e.g., MLflow, Prometheus, or Grafana).Knowledge of security standard methodologies in AI and ML deployments. Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.If you have a question regarding your application, please contact HR@chewy.com.To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.",Mid-Senior level,Machine Learning Engineer II
+455,2025-03-30,Palo Alto,California,AI Fund,https://www.aifund.ai/,"Who is AI Fund? 
+
+We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence. 
+
+Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock.
+
+How Are We Different? 
+
+We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge. 
+
+We believe the best way to help entrepreneurs is  by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most. 
+
+Why Work With AI Fund? 
+
+Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success.
+
+We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.","Palo Alto, CALanding AI – Engineering /Full time /HybridLandingAI™ delivers cutting-edge Visual AI solutions that empower customers to unlock the value of visual data. With visual data sets, companies realize the value of AI and move AI projects from proof-of-concept to production. Guided by a approach, LandingAI’s flagship product, LandingLens™ is a Visual AI platform that enables users to build, iterate, and deploy Visual AI solutions quickly and easily. With data quality being key to the success of production AI systems, LandingLens™ allows users to achieve optimal data accuracy and consistency. Additionally, LandingAI is a pioneer in the field of Large Multimodal Models (LMM) which enhance the ability to process and understand visual data at scale, making sophisticated Visual AI tools more accessible and efficient. Founded by Andrew Ng, co-founder of Coursera, founding lead of Google Brain, and former chief scientist at Baidu, LandingAI is uniquely positioned to lead the development of AI from a technology that benefits a few to a technology that benefits all.As a key member of our collaborative team, you will work on developing AI-driven solutions within our VisionAgent and LandingLens products. Your responsibilities will include staying up-to-date with the latest research in the field, testing new techniques, and potentially integrating cutting-edge advancements into our products. Additionally, you will be involved in constructing and curating datasets, testing machine learning models and agentic frameworks, and fine-tuning these frameworks to improve performance and effectiveness.What You’ll Do:Apply Machine Learning: Work with machine learning models, algorithms, and data to solve real-world problems related to computer vision and other AI tasks.Collaborate with Teams: Partner with engineers, data scientists, and other stakeholders to ensure smooth integration of AI solutions into our products.Backend Development: Contribute to building backend systems, including working with databases, APIs, and other backend services, ensuring they support our AI systems effectively.Continuous Learning: Stay updated with the latest advancements in machine learning and contribute ideas for improving our solutions.Support the Team: Assist senior team members in the development, testing, and optimization of machine learning models and systems.What We’re Looking For:Education: A degree in Computer Science, Engineering, Data Science, or a related field and 2-3 years of work experience.Machine Learning Knowledge: Solid understanding of machine learning concepts, including having worked on machine learning models or taken related courses.Software Engineering Skills: Experience with coding (preferably in Python or similar languages), basic backend systems, and databases. Familiarity with web services or APIs is a plus.Collaboration & Communication: Strong interpersonal skills and the ability to collaborate effectively with team members. Comfortable discussing technical ideas and learning from others.Curiosity & Problem-Solving: A passion for learning and a desire to work on complex, impactful problems.Location & Work Environment: Must be located in the Bay Area and available to work from our Palo Alto office at least three days a week.Why Join Us?Impactful Mission: Be at the forefront of a transformative industry, shaping the future of Visual AI.Cutting-Edge Work: Work on challenging, high-impact problems with the latest advancements in AI research.Collaborative Culture: Join a team that values innovation, growth, and making a meaningful difference for our customers.Leadership Opportunity: Lead and grow an exceptional team, driving the next generation of AI solutions.Landing AI Benefits: Health: Our people and their dependents* are covered by comprehensive medical, dental, and vision plans. Wellness: We offer a fitness stipend to be used on well-being and fitness programs. Lifelong learning: With an education stipend, you are encouraged to keep learning and growing. PTO: We provided generous paid time off* so you can strive toward a balanced lifestyle.Retirement: We offer a 401k matching plan to help you plan for your future! Events: We love having fun! We set up regular virtual and in-person events to connect with each other.Global Citizen: Our people reside in North America, Latin America, and Asia. Come and join our global network! *Subject to country of employment$155,000 - $175,000 a yearOur salary ranges are determined by role, level, and location, and your recruiter can provide specific details during the hiring process.Must be located in the Bay Area and available to work from our Palo Alto office at least three days a week.",Entry level,Machine Learning Engineer
+456,2025-03-21,Boston,Massachusetts,PathAI,http://www.pathai.com,"PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. 
+
+We are a company of diverse employees with a wide range of backgrounds and experiences. Our world class team is passionate about solving challenging problems and making a huge impact. Our office is located in the heart of Fenway. PathAI was recently voted one of BBJ's Best Places to Work!
+","Who We ArePathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.Where You FitWe are seeking experienced Machine Learning Engineers to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. The Machine Learning Engineer will work closely with teams across biomedical data science, product development, translational research MLOps and platform engineering to develop and deploy the machine learning models for our AI products and services.What You’ll DoIndependently lead the planning and execution of machine learning model development for research and product development projects with ML best practicesContributes towards internal product and translational research experiment design, ideation, analysis, documentation and experimental plansUnderstands product requirements in their biological and clinical context and proposes changes to model design, product requirements, or analysis plan to ensure market fitDemonstrates mastery of established and state-of-the-art ML methods and upholds ML Team’s best practices for ML research and product developmentEngaged within team governance of standards via supporting initiatives (e.g. Guild of TLs, ML Stewards, WiML, Journal Club, Maintaining and creation of documentation)Identify technical gaps, propose and initiate new projects by articulating rationale and experimental plans that translate technical improvements into business impactActively participate in and propose improvements to team processes and supporting initiatives, including but not limited to: project processes, technical design reviews, knowledge sharing, hiring and onboarding.Actively support scientific strategy with abstract submissions to conferences, manuscript preparation, and creation of marketing and other materials for external audiencesYou will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals. Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes.What You BringTo be successful in this role with us, you'll at least need:Master’s degree plus 3-4 years of professional experience or Ph. D. in Computer Science, Computational Biology or related field, preferably with a focus on artificial intelligence and machine learning3-4 years of experience in developing and deploying state-of-the art machine learning models in productsExcellent proficiency in Deep Learning frameworks (Pytorch/Tensorflow), Python (including Scipy, Numpy, Pandas) and software engineering skills. Strong analytical and quantitative skillsStrong track record with the overall machine learning and computer vision model development process including data pipelines, model training, evaluation and deployment.Publications or research in fields related to artificial intelligence and biomedical science is strongly preferredStrong communication skills. Intellectual curiosity and the ability to learn quickly in a complex spaceWe Want To Hear From YouAt PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.",Mid-Senior level,Machine Learning Engineer III
+457,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
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+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
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+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+458,2025-03-24,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is a diverse group of world-level researchers and engineers, who develop and support the production recommendation systems that drive product impact. The team is fast-paced, collaborative and impact-driven.Responsibilities - What You'II Do Develop recommendation systems that improve user experience and platform content ecosystem. Build machine learning systems and pipelines to address critical product challenges. Own a complex part(s) of the system, lead its development, support, and improvements. Collaborate with cross functional teams to design product strategies and build solutions to grow TikTok in the US market.QualificationsMinimum Qualification Bachelor degree or above in computer science or a related major, with 2+ years of related work experience. Proficient in C/C++, Python and have a deep understanding of data structure and algorithm design. Practical experience using these languages building production systems. Solid knowledge and practical experience developing and training models with at least one popular deep learning framework (e.g., PyTorch, TensorFlow). Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product. Good written and verbal communication skills.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"(General Hire) Machine Learning Engineer, TikTok Recommendation"
+459,2025-03-28,New York,New York ,Cedar,http://www.cedar.com,"Cedar is the leading financial experience platform for healthcare providers who prioritize patients. Cedar delivers healthcare’s top patient financial experience platform for modern revenue cycle teams. Starting with consumer-grade technology, we offer the only platform that integrates a patient’s billing and benefits information in one simple payment experience. Our platform is a must-have for finance leaders to increase patient payments while boosting patient loyalty. ","Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S.Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. Background:Cedar is a patient payment and engagement platform that leverages advanced analytics, machine learning, and consumer-centric design and technology to improve the healthcare experience for patients. The AI/ML team (within the Product Engineering org) plays a critical role in achieving Cedar’s vision. We aim to proactively identify opportunities for personalization, and train models to optimize engagement and financial outcomes. By building ML-based algorithms and embedding them into our products, we deliver tailored experiences for patients that differentiate Cedar’s product offerings with hard-to-replicate competitive advantages.We don’t do this alone–we closely partner with the other Makers teams (Data Science, Product, Design, and User Research) to maximize our impact. We also work with Commercial teams to evangelize our vision to clients and incorporate market feedback, ensuring our machine learning innovations drive real-world value.The Role:Cedar is scaling rapidly and the demand for machine learning expertise is increasing. We are seeking a Machine Learning Engineer III to join our team and build machine learning solutions that optimize the performance of Cedar’s product. You will conduct deep analyses of data to develop a thorough understanding of our product features and how patients utilize them, along the way becoming an expert in Cedar data. You will design, develop, and iterate on ML-powered product features to support and differentiate Cedar’s product offerings, and closely measure and monitor the performance of these ML models to identify and drive opportunities for continuous improvement. As Cedar’s ML capabilities evolve, you will have the opportunity to expand your scope and influence key decisions about how ML is utilized in Cedar’s products. Responsibilities:Develop a deep understanding of Cedar patients and our product, including the mechanisms of Cedar’s platform and Cedar’s dataBuild and optimize pipelines for data extraction, processing, and transformation; perform in-depth data analysis, data cleaning, and feature engineering on (mostly) structured, tabular data Design, build, and deploy scalable and maintainable machine learning solutions that solve key problems for our patients and customersRigorously evaluate the effectiveness of machine learning models by analyzing their performance, and identify opportunities for iteration and improvementCollaborate closely with data engineers and product engineers to productionize pipelines and ML solutionsPresent and clearly communicate findings and underlying methodology to partners across all levels of the organization, and present externally to Cedar clientsWork cross-functionally to identify and evaluate opportunities where machine learning can drive business impact and competitive advantageTake ownership of end-to-end machine learning projects, from ideation to deployment, with increasing autonomy as you grow in the roleSkills and Experience:5+ years of experience working with data, with 3+ years of experience in machine learning in an industry settingExpertise in both SQL and Python is requiredExpertise in machine learning techniques such as regression, classification, clustering, and ensemble methods; not only in training performant models, but also how to use them successfully for business impact and how to employ effective guardrails Experience productionizing models and knowledge of cloud platforms such as AWSExcellent communication and collaboration with stakeholders, acting as a thought-partner for other data scientists and cross-functional teamsStrong analytical ability and an understanding of statistical methods Understanding of software engineering principles A mindset focused on growth and learning, with a desire to take on new challenges and expand your impact over timeProblem-solving ability, with the interest to further grow this skillset and apply strategic thinking to make key decisions relating to Cedar’s ML product featuresExperience working with healthcare data or payments/billing data is a plus, but not requiredThis role offers hybrid from New York City or is fully remote. Applicants must be currently authorized to work in the United States on a full-time basis. Compensation Range and BenefitsSalary/Hourly Rate Range*: $170,000 - $200,000 This role is equity eligibleThis role offers a competitive benefits and wellness package What do we offer to the ideal candidate?A chance to improve the U.S. healthcare system at a high-growth company! Our leading healthcare financial platform is scaling rapidly, helping millions of patients per yearUnless stated otherwise, most roles have flexibility to work from home or in the office, depending on what works best for youFor exempt employees: Unlimited PTO for vacation, sick and mental health days–we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to workDiversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians) Competitive pay, equity (for qualifying roles) and health benefits that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month)Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensationAccess to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personallyAbout usCedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. ""Over the past several years, we've raised more than $350 million in funding & have the active support of Thrive and Andreessen Horowitz (a16z). As of November 2024, Cedar is engaging with 30 million patients annually and is on target to process $3.5 billion in patient payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Novant Health, Allina Health and Providence.",Mid-Senior level,Machine Learning Engineer III
+460,2025-04-04,London,,Alexander Chapman,http://www.alexanderchapmanltd.com,"Alexander Chapman is a leading global search firm specializing in comprehensive staffing and talent management solutions tailored to the unique needs of local, regional, national, and international businesses. With a dedicated focus on niche recruiting expertise and expert project management, Alexander Chapman excels in providing innovative solutions within the Finance sectors.
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+","Revolutionize AI with Cutting-Edge AI CompanionsWe’re on a mission to build lifelike computers that collaborate with us through natural voice companions. We’re looking for Machine Learning Engineers, Research Engineers, and Research Scientists to join our team. In this role, you’ll focus on advancing the post-training and fine-tuning of models, utilizing techniques like reinforcement learning, rewarding strategies, tokenization, and alignment tuning to make AI systems more conversational, emotionally aware, and adaptive.What You’ll DoFine-tune LLMs and AI companions using reinforcement learning, preference optimization, and post-training techniques.Enhance AI’s ability to engage in empathetic, context-aware conversations, personalize interactions, and retain memory.Implement continuous learning to ensure AI systems are goal-driven, adaptive, and aligned with user preferences.Collaborate with top AI researchers to bring cutting-edge advancements into real-world applications.What We’re Looking ForExpertise in reinforcement learning, fine-tuning, deep learning, and NLP.Proficiency in Python, PyTorch, TensorFlow, and modern AI frameworks.Experience deploying scalable AI models in cloud environments (AWS, GCP, Azure).A passion for advancing AI and solving complex challenges.Why Join Us?Work with a world-class team, leaders from Apple, Meta, Microsoft, and Google.Offices in San Francisco, Bellevue, and New York—flexible work options available.Competitive benefits: 401k, 100% employer-paid health, vision, and dental insurance, and unlimited PTO.Play a key role in shaping the future of AI and voice technology.Ready to help us build AI that truly comes alive? Apply now to join our team!",Mid-Senior level,Machine Learning Engineer
+461,2025-04-03,Philadelphia,,Fliff Inc,https://getfliff.com,"Fliff is the home of social sports gaming.  Our social and promotional games offer a new way to have skin-in-the-game that is simpler, interactive, and free to play.
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+By pairing the social treasures of sports gaming with loyalty rewards and promotions, sports fans can sweat the game without sweating the losses. Fliff combines the best of social gaming, fantasy sports, and sports betting into a fun and easy to use experience.","Fliff unpacks sports gaming into social, free-to-play games for all types of sports fans. We've built a social sports gaming experience that allows users to compete for leaderboard positioning, to achieve badges and build their status within the game.We are pioneering play-for-fun sports gaming, with our flagship social sportsbook experience that includes sweepstakes promotions and loyalty rewards. We provide sports fans with fun, engaging, and free-to-play alternatives to real money gaming.We are seeking a skilled and experienced Data Scientist to join our team. You will be responsible for analyzing large datasets, developing predictive models, and providing insights that drive business decisions, reporting directly to the executive team and company stakeholders.The ideal candidate should be able to work independently and collaborate with cross-functional teams to deliver high-quality work in a fast-paced environment.ResponsibilitiesConduct data analysis and modeling to identify trends, patterns, and insights that can be used to improve our platform.Develop predictive models and algorithms that can forecast outcomes for sports events and improve the accuracy of our predictions.Work closely with the product and engineering teams to integrate models and algorithms into our platform.Collaborate with other data scientists, analysts, and business stakeholders to ensure that our models and algorithms are accurate, reliable, and scalable.Monitor the performance of our models and algorithms and continuously improve them based on feedback and new data.RequirementsBachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.Preferably at least 2-3 years of experience in data science, ideally in the sports gaming industry.Passion for sports and sports gaming.Strong programming skills in Python and experience working with libraries such as Pandas, NumPy, and Scikit-learn.Knowledge of SQL and experience working with databases and data warehouses.Experience with machine learning algorithms and statistical models, including supervised and unsupervised learning, regression, classification, and clustering.Strong problem-solving and analytical skills, with the ability to think creatively and outside the box.Excellent communication and collaboration skills, with the ability to work effectively in a team environment.BenefitsTop tier compensation + benefits packageFlexibility to work remotelyOpportunity for professional growth in a dynamic and international environmentInformal, friendly and knowledge-sharing environmentAn interesting and challenging job that allows you to explore paths to creating successful software solutions$60,000 - $100,000 a yearWe are a multinational company with our headquarters based in Philadelphia, and offices in New York, Austin, and Sofia, Bulgaria. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is welcoming and friendly, and the work that we do is always interesting and rewarding. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is:Welcoming and FriendlyWe want to reflect the diversity of the cities we serve. By creating an inclusive culture where everyone can thrive, we’ll make Fliff better for employees and customers alike.Lively and CreativeWe respect and value each other’s ideas, experience and expertise. There is no such thing as a bad idea; only ideas that are executed and ideas that are discarded after consideration.Stimulating and RewardingWe know bright minds love a challenge, and we understand your desire to see your hard work pay off. We’ll make sure your daily tasks align with your career ambitions as we grow together.Apply for this job",Entry level,Data Scientist
+462,2025-03-28,,,Altos Labs,http://www.altoslabs.com,"Altos Labs is a biotechnology company focused on restoring cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. The company comprises a community of leading scientists, clinicians, and leaders from academia and industry working together towards this common mission. 
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+Altos operates in the San Francisco Bay Area, San Diego and Cambridge, UK.
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+Note: Altos Labs will not ask you to download a messaging app for an interview or spend your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate or a practice within our organization.","Our MissionOur mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.For more information, see our website at altoslabs.com.Our ValueOur Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.What You Will Contribute To AltosAltos Labs is building high-performance, scalable, quantitative solutions for biomedical image analysis and integration with multi-Omics data. The team work at multiple scales including data from Electron/Light Microscopy, Digital Histology and Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups.ResponsibilitiesEvaluate state of the art and Retrain AI models across the full spectrum of imaging including: de novo protein design, structure identification and dynamics in single particle CryoEM ; light microscopy and multi-omics data integration and cross domain mapping of data collected in situ and in vivo.Demonstrate software engineering skills to develop reliable, scalable, performant distributed systems in a cloud environment.Develop efficient data loading strategy and performance tracking to train large models with distributed training across multiple nodes Build, deploy, and manage multi modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework.Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and software engineers.Bridge the communication gap between experimental scientists, algorithm developers and software deployers.Who You AreMinimum QualificationsBS/MS in Computer Science/Biomedical Engineering or related quantitative field.Candidates should have 2-5 years of relevant industry and/or academic experience.Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorfllow, Pytorch Lightning etc.Previous experience with Machine Learning at scale: Large Language Models and Self-Supervised/Contrastive/Representation Learning for Computer Vision applications and multi modal integration. Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics.Demonstrated track record of hands-on technical leadership and scientific contributions such as papers or conference communications.Excited to design and implement technical and cultural standards across scientific and technical functions.Preferred QualificationsBioinformatics data processing and analysis.Multi source data Integration.Experience with cloud computing and containerization.Knowledge of genetics/human geneticsThe salary range for Redwood City, CA:Machine Learning Engineer I: $144,500 - $195,500Machine Learning Engineer II: $170,000 - $230,000The salary range for San Diego, CA:Scientist I, Machine Learning: $141,950 - $192,050Scientist II, Machine Learning: $160,650 - $217,350Exact compensation may vary based on skills, experience, and location.For UK applicants, before submitting your application: Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice) This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.What We Want You To KnowWe are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation.Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/",Mid-Senior level,Machine Learning Engineer
+463,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+464,2025-04-05,San Jose,California,Roku,https://www.weareroku.com/,"With the #1 platform for streaming television in the U.S., Roku wants to revolutionize the way the world watches TV. 
+
+Our Roku-branded TVs, Roku TV models, Smart Home system, streaming players, audio equipment, and the purpose-built operating system that powers it all can turn any home into a home theater, with seamless integration of hardware and software. Our commitment to our users extends to our brand studio, which creates innovative Roku Originals exclusively for The Roku Channel, a free channel that reaches approximately 80 million households in the U.S. and Mexico.   
+
+Join us and you'll have the chance to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. Be a part of shaping the future of streaming at weareroku.com. ","Teamwork makes the stream work.Roku is changing how the world watches TVRoku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.  About the teamThe Core Analytics Team is a centralized function to provide data-driven insights to business and products. We collaborate closely with our Product and Engineering teams to deliver the best experiences to our customer and maximize the value proposition for the business. About the role Roku is looking for a Sr. Data scientist to join the Core Analytics team to support our experimentation platform. This individual will be responsible for helping to scale Roku’s experimentation capabilities, exploring and implementing scalable and robust statistical methods that can apply to a broad range of experimentation problems. The successful candidate will help build tooling for engineers, product managers, and marketers to self-serve their own experiments and establish experimentation best practices across Roku. This individual will work closely with product management and data engineering and software engineer to identify opportunities to create new features, drive their adoption. This individual will investigate and develop solutions to track, monitor and improve our Experimentation ecosystem. The successful candidate is quantitatively driven, well versed in experimentation and advanced statistical methods, detail-focused, and possesses an elevated level of problem-solving expertise. For California Only - The estimated annual salary for this position is between $132,000-$254,000 annually.  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.  This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.Roku will be accepting applications for this position until May 27, 2025 [or until the position filled].What you'll be doing Help shape the roadmap to drive experimentation at Roku Define the standard for statistical analysis across varying types of experiments and units of analysis ensuring robust results with minimal bias Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like bayesian inference and causal methods to optimize complex strategies Develop necessary data pipelines to power automation, validation and reporting Collaborate with stakeholders to align data science initiatives with organizational goals and strategy Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback   We're excited if you have 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, Computer Science, or other quantitative field)  Strong statistical acumenHands on experience on experimental design, A/B testing, causal inference and statistical modeling/forecasting Expertise in SQL, SAS, R, Python or other programming languages to query data and perform analysis Hands on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment The ability to effectively communicate with technical and non-technical business partners alike, and who are interested in building strong cross-functional relationshipsA desire to question the status quo and promote innovative solutions to challenging problems   BenefitsRoku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku CultureRoku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.",Mid-Senior level,"Senior Data Scientist, Experimentation"
+465,2025-03-30,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace of consumers, merchants, and dashers. The Forecasting Platform provides a unique opportunity to have a broad impact on the business ensuring we can quickly respond to a rapidly changing operational environment. The team supports projects across all of our major pillars (e.g. supply / demand, auto-scaling infrastructure, support optimization) as well as the development of an internal decision platform for time series.About The RoleAs a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers.You’re Excited About This Opportunity Because You Will…Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotionsOwn the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilitiesResearch new tools within the Forecasting space (e.g. TimeGPT, LLM extensions)You can find out more on our ML blog post hereWe’re Excited About You Because…High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double downYou’re an owner — driven, focused, and quick to take ownership of your workHumble — you’re willing to jump in and you’re open to feedbackAdaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth settingDesire for impact — ready to take on a lot of responsibility and work collaboratively with your teamExperienceM.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in productionDemonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etcDeep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting Experience of shipping production-grade ML models and optimization systemsNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Mid-Senior level,"Machine Learning Engineer, Forecast Platform"
+466,2025-04-02,Fremont,California,PETADATA,http://petadatasoftware.com/,"PETADATA is an Information Technology & Services company that specializes in delivering technology solutions to meet the needs of our clients. PETADATA  maintains a fundamental commitment to excellence that is evident in everything we do. Our mission is to understand and meet the needs of both our clients and consultants by delivering quality, value-added solutions.
+
+PETADATA  is a leading provider of Information Technology services and business solutions. The company has international offices in America and, as well as offshore development centers in India. We provide services to large and mid-sized organizations in banking, financial services, insurance, retail, healthcare, manufacturing, and independent software vendors sectors.
+
+PETADATA  services include application development, support & maintenance, enterprise application implementation, integration, infrastructure management, and quality assurance & testing.
+
+Quality
+
+We consistently provide the right fit, high-quality services, and products that best match our clients'​ needs. We are highly sensitive to clients'​ goals, delivering on our promises and offering superior services for the life of the project and beyond.
+
+Honesty
+
+We follow honest and ethical business practices.
+
+Integrity
+
+We do what's right and follow through on our commitments. We are accountable for our actions and services.
+
+Teamwork
+
+We are motivated by results and value teamwork. We are committed to and truly care about our coworkers, clients, consultants, and strategic partners. 
+
+With a relentless focus on quality & processes, we have set international benchmarks in execution excellence that have translated into measurable business benefits for our customers. We offer our clients the advantages of:
+360-degree solution.
+
+https://www.petadatasoftware.com","Job Title: Machine Learning Engineer with Generative AILocation: Las Vegas, NV - REMOTEEXPERIENCE: 12+ YRSJob Type: W2/C2CPETADATA is currently hiring for the position of Machine Learning Engineer with Generative AI for one of their clients.Job OverviewWe seek a forward-thinking Machine Learning Engineer with a deep focus on Generative AI technologies within the Azure ecosystem. This pivotal role is dedicated to pioneering AI-driven solutions, mainly to deploy a state-of-the-art chatbot crafted through the Retrieval-Augmented Generation (RAG) technique to analyse and interpret customer reviews. The successful candidate will also craft an insightful analytical dashboard powered by Azure OpenAI. The successful candidate will be instrumental in harnessing the power of generative AI to revolutionize our customer interaction and data analysis methodologies.Core ResponsibilitiesGenerative AI Chatbot Development: Spearheaded the creation of an advanced chatbot utilizing the RAG methodology to deliver nuanced interactions based on customer reviews.Insightful Dashboard Engineering: Architect and develop an analytical dashboard, employing Azure OpenAI to unearth and present deep insights from complex datasets.Expertise in Prompt Engineering: Masterfully apply prompt engineering strategies to optimize the quality and relevance of generative AI outputs.Advanced Sentiment Analysis: Implement sophisticated sentiment analysis to deeply understand the emotional layers within customer feedback, refining the chatbot's empathetic engagement.Essential Technical ProficienciesAzure Generative AI Integration: Proven expertise in integrating and leveraging Azure cloud services, strongly emphasizing Azure Databricks and Azure OpenAI for generative AI applications.Proficient in Python and Spark: Exceptional skills in Python for AI development, complemented by expertise in using Spark for large-scale data processing and analytics.Foundation in Machine Learning and NLP: A robust foundation in machine learning principles and natural language processing, with a particular focus on generative AI technologies and techniques. Data Pipeline Design: Demonstrated ability to design and operationalize scalable data pipelines within Databricks, optimized for generative AI workflows.Desired AttributesA proven innovator in deploying generative AI to enhance customer interactions and analytical insightsCreative problem-solving abilities, capable of translating intricate customer needs into tangible, cutting-edge AI solutions.Exceptional analytical aptitude, meticulous attention to detail, and a commitment to excellence in all aspects of AI development and deployment.This oppotunity is designed for a visionary engineer eager to define the future of AI applications in customer service and analytics, pushing the envelope of what's possible with generative AI and machine learning technologies.Educational QualificationBachelor's/Master's degree in Computer Science, Engineering, or a related field.We offer a professional work environment and are given every opportunity to grow in the Information technology world.NoteCandidates must attend Phone, Video, or in-person interviews, and after the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.Please email your resume to anandinik@petadata.coAfter carefully reviewing your experience and skills, one of our HR team members will contact you to discuss the next steps.",Mid-Senior level,Machine Learning Engineer with Generative AI
+467,2024-09-08,,,Hugging Face,https://huggingface.co,The AI community building the future.,"At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.Transformers in NLP pushed forward the computational requirements and the trend started to expand to other modalities such as Computer Vision and Speech which are actively adopting Transformer architectures to build the latest state-of-the-art models.About the RoleHugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models.If you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations: we should talk!We are looking for talented people to join the Hugging Face Special Ops team, focusing on: Bridging 🤗 transformers models with state-of-the-art AI hardware Ensuring the above models meet the expected performance Designing easy to use and proficient Developer Experience for our users Deploying these models in the most efficient and scalable way This is an exciting opportunity to work at the edge of AI on both model architectures and hardware technologies! As additional material, you may want to take a look at the recent announcement about the collaboration with GraphCore on IPUs to get a better sense of what it means in practice 🤗.About YouYou'll enjoy working in this team if you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations. At the intersection of software engineering and machine learning, you would be in charge of integrating the latest features from our hardware partners in Python/C++, designing rich and easy Python APIs in the continuity of what Hugging Face did with transformers, tokenizers, and the datasets library with a strong focus on performances. Linux or embedded devices experience would be a great plus for the job.More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.",Associate,Machine Learning Engineer in the Optimization team - US Remote
+468,2025-04-04,San Antonio,Texas,Victory Capital,https://www.vcm.com,"Victory Capital is a diversified global asset management firm. The Company employs a next-generation business strategy that combines boutique investment qualities with the benefits of a fully integrated, centralized operating and distribution platform.
+
+Victory Capital provides specialized investment strategies to institutions, intermediaries, retirement platforms and individual investors. With 12 autonomous Investment Franchises and a Solutions Business, Victory Capital offers a wide array of investment products and services, including mutual funds, ETFs, separately managed accounts, alternative investments, third-party ETF model strategies, collective investment trusts, private funds, a 529 Education Savings Plan, and brokerage services.
+
+Victory Capital is headquartered in San Antonio, Texas, with offices and investment professionals in the U.S. and around the world. To learn more please visit www.vcm.com.
+
+Important disclosures: https://investor.vcm.com/social-media-guidelines-and-disclosures
+Mutual funds distributed, and brokerage services provided, by Victory Capital Services, Inc. (VCS).
+Advisory Services offered by Victory Capital Management Inc., an affiliate of VCS.
+","About Victory CapitalVictory Capital is a diversified global asset management firm and employs a next-generation business strategy that combines boutique investment qualities with the benefits of a fully integrated, centralized operating and distribution platform.Victory Capital provides specialized investment strategies to institutions, intermediaries, retirement platforms and individual investors. With 11 autonomous Investment Franchises and a Solutions Business, Victory Capital offers a wide array of investment products and services, including mutual funds, ETFs, separately managed accounts, alternative investments, third-party ETF model strategies, collective investment trusts, private funds, a 529 Education Savings Plan and brokerage services.Victory Capital is headquartered in San Antonio, Texas, with offices and investment professionals in the U.S. and around the world. To learn more please visit www.vcm.com or follow Victory Capital on Facebook, Twitter, and LinkedIn.General Summary And PurposeVictory Capital Management is committed to leveraging data to drive strategic decisions and innovation. We are seeking a Data Scientist to join our expanding Data and Analytics team. The ideal candidate will have a strong background in artificial intelligence, machine learning, data mining, and information retrieval to design, prototype, and build advanced analytics engines and services. You will collaborate with the broader team to implement machine learning algorithms that support our business units, design data experiments, and develop efficient models that drive revenue and enhance our decision-making processes.You will report to the Data Science Manager and play a key role in transforming our data initiatives while working independently on projects from conception to deployment.You WillIdentify appropriate uses of machine learning and use open source and AWS packages (including pandas, scikit-learn, and SageMaker) to write and deploy models to solve business problems.Demonstrate strong analytical problem-solving skills to translate ambiguous business questions into data science solutions.Own projects end-to-end, from problem definition through deployment and monitoring.Collaborate with team members to develop novel solutions using cutting-edge techniques and tools in our git-based workflow.Communicate complex technical concepts to non-technical stakeholders and explain the analytics approach and its benefits.Advocate and educate on the value of data-driven decision-making across the organization.Integrate analytical approaches into applications and tools with cross-functional teams.Develop scalable, interpretable models incorporated into data products.Engineer features by combining diverse data sources and transforming datasets.Share your passion for Data Science within the broader enterprise community and contribute to developing long-term processes and standards.Stay connected with external sources of ideas through conferences and community engagements.You Have1-4 years of hands-on modeling experience required.Bachelor's degree in Computer Science, Engineering, Statistics, Information Technology, Informatics, or a related field.Proficiency in Python (working with DataFrames, pandas) and SQL.Experience working in an Agile team environment with git version control.Hands-on experience with hypothesis testing and machine learning for solving clustering, classification, regression, anomaly detection, simulation, or optimization problems on large datasets.Ability to clean, merge, and transform datasets to create new features.Experience with developing models on AWS or other cloud platforms (particularly AWS SageMaker).Experience in the deployment, monitoring, maintenance, and enhancement of models.Proficiency with data visualization tools such as PowerBI, Plotly, Seaborn, or Matplotlib.Excellent communication skills to explain complex technical concepts to non-technical stakeholders.Strong collaboration skills and ability to work effectively in a small team environment.Demonstrated ability to work independently and manage multiple projects simultaneously.Additional QualificationsMaster’s or Ph.D. in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline.Experience with Generative AI technologies (e.g., LangChain, LLMs, AWS Bedrock) to develop and implement advanced AI applications.Experience with NLP techniques and libraries such as spaCy, NLTK, or BERT for text analysis and processing.Experience in building and deploying recommender systems.Expertise in financial modeling, financial services, or the investment management industry.Proficiency in advanced statistical techniques such as Bayesian inference, time series analysis, or survival analysis.Relevant certifications such as AWS Certified Machine Learning, TensorFlow Developer Certificate, or other recognized industry credentials.Proven track record of developing innovative solutions to complex data problems.Our BenefitsVictory Capital Management offers excellent Medical, Dental, Vision plans, Flexible PTO, Family Medical and Disability Leaves, Education Tuition Reimbursement and a 401k plan with a generous employer match.Target CompensationThe target base salary range for this position is $93,500 - $ 110,000.Salaries are determined based on internal equity, internal salary ranges, market data/ranges, applicant’s skills and prior relevant experience, certain degrees, and certifications.Victory Capital Management operates a pay-for-performance compensation philosophy and total compensation may vary based on role, location, department and individual performance.Victory Capital Management’s total compensation package includes the opportunity for annual compensation bonuses and/or commissions and a generous benefits package.We are committed to equal employment opportunity without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, height, weight, hair texture or a hairstyle historically associated with race to include braids, locks, or twists; or any other characteristic protected by applicable federal, state, or local laws and ordinances.",Entry level,Data Scientist
+469,2024-06-26,Palo Alto,CA,Entefy,https://www.entefy.com,"Entefy is an enterprise AI software and automation company. Entefy's multisensory AI technology delivers on the promise of the intelligent enterprise, at unprecedented speed and scale (think 15,000x performance improvement to Entefy customers).
+ 
+Entefy products and services help organizations transform their legacy systems and process—everything from knowledge management to workflows, cybersecurity, data privacy, customer engagement, forecasting, and more.
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+Entefy’s customers vary in size from SMEs to $100+ Billion US and global public companies across a number of industries including financial services, health care, retail, and manufacturing.
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+With 250,000 hours invested in advanced R&D (including contributions from more than 100 scientists and engineers), Entefy has created a rich IP portfolio spanning 100s of trade secrets and patents combined.
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+Get started at www.entefy.com.","Entefy’s Machine Learning Engineer is a highly visible position internally and externally. This is where your deep experience and great insights intersect with an amazing opportunity to shape the future of communication and digital interaction.Skills and Experience:We’re not looking for “good.” Entefy is on a mission for best. The success of this mission depends on its team members to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.Requirements5+ years of experience in Machine Learning tools and algorithms specially in unstructured data classification and clusteringDemonstrable expertise in MATLABProficient knowledge of and experience with AI systemsDemonstrable expertise in multiple programming languages such as Python, C++, Java, etcFluency in English and, at least, 1 other languageMasters or PhD in Computer Science in Machine Learning or related field preferredProficiency in Machine Learning open source toolsProficiency in Machine TranslationProficiency in Social Text MiningProficiency in SQL and non-SQL databaseProficiency in Data Visualization toolsVisit www.entefy.com and www.entefy.com/blog",Not Applicable,Machine Learning Engineer (Remote Position)
+470,2025-04-09,Birmingham,AL,TPI Global Solutions,http://www.tpiglobalsolutions.com,"TPI Global started in 1998, providing technical professionals to businesses scrambling to fix the Y2K bug. We met those challenges head-on and established ourselves as an IT talent and services firm that could be counted upon.
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+Since then we’ve grown. We continue to connect employers with tough-to-find IT expertise and help technical professionals find jobs that match their career goals. Now we are doing the same with engineering, finance and accounting professionals from our Birmingham, Atlanta and Charlotte offices.
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+As one of the top engineering and IT recruiting firms in the country, we know what it takes to find the right people for the job. Building a talent network from professionals nationwide – people with tons of skills and experience in information technology, engineering, accounting & finance and more. 
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+It’s hard to tell what a job will be like from a few words in an online job posting. Speak with a TPI recruiter to discuss your career goals. TPI provides the data – about the position and the corporate culture of our employers – so you can make intelligent career decisions. TPI has recruiting professionals dedicated to your success.","Title: Machine Learning EngineerPosition Type: Contract 6 MonthsLocation: Plano, TX from Day 1st 100% OnsiteMachine Learning EngineerLooking for someone with (Software Developer experience (60%)+ Data Science(40%) , AWS skills, (Python, SQL, SAS, Snowflake). Someone who has prior SAS experience and can Transform the legacy codes from SAS to Python will be a great fit.Proficiency in Python and SQL development.Experience with modern software development practices, including version control systems and infrastructure-as-code.At least one year of relevant work experience is requiredExperience in building and deploying machine learning models in cloud environments (AWS, Snowflake)""Highest degree specifically in: Statistics, Mathematics, Physics, Engineering, Computer Science, Economics / Econometrics, Finance, Data Science, Machine Learning, AI, Financial Engineering, Computational Finance, Operational Research, Industrial Engineering. ""Active AWS Solutions Architect Associate certificationExperience with SAS (statistical analysis) programming languageExperience working with API frameworks (Flask, FastAPI) and Amazon SageMaker Ability to design and implement comprehensive testing strategies.",Mid-Senior level,Machine Learning Engineer
+471,2025-04-07,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join usAbout The TeamThe Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology： Combat any kinds of risks/violations issues in E-commerce scenarios. Build an E-commerce ecosystem and improve platform service capabilitiesWe are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities: Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products. Responsible for mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators. Responsible for optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering. Responsible for data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain. Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.What You Will Do: Optimize various basic algorithms such as NLP, vision, multimodal, search, graph, LLM, etc. to provide support for governance business, explore cutting-edge technologies, and apply them to e-commerce business scenarios. Streamline the optimization and iteration process for computer vision models in e-commerce settings, including fine-grained classification of product images, product object recognition, product subject recognition, feature extraction, logo detection, brand recognition, etc. Optimize video classification, multimodal content mining, and multimodal content understanding of e-commerce short videos and live broadcasts, and optimize the e-commerce short video shopping experience. Optimize the risk identification model related to text content in e-commerce scenarios, such as product copywriting, picture text, and voice descriptions. Optimize the risk mining algorithm for comments, reports, and other public opinion content related to products/short videos/live broadcasts, and improve the platform governance effect. Responsible for the research of large-scale multimodal (vision, speech, natural language, etc.) algorithms and their implementation in e-commerce scenarios. Extract extensive data from various entities, such as content in e-commerce live broadcasts, products, merchants, and influencers. Model large-scale networks to support business scenarios like content understanding, multimodal representation, and community mining for problem-solving purposes. Participate in the construction of a large-scale graph storage and graph learning platform, supporting the basic ability of graph learning with billions of nodes and edges.QualificationsMinimum Qualification: Bachelor's degree or above in computer science or related field Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++ Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM Excellent analytical and problem-solving skills, passionate about challenging problems Good team spirit and strong communication skills Experience in platform governance/audit/risk control/content security or overseas internet/e-commerce business is preferred Fluent English listening, speaking, reading, and writing skills are preferred Experience studying, working, or living overseas is preferred.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $112200 - $129600 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer (CV/NLP/Multimodal/LLM) Graduate (E-Commerce Governance) - 2025 Start (BS/MS)
+472,2025-03-23,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
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+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced senior machine learning engineer to help us develop the cutting-edge Computer Vision models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Applied Machine Learning expert to join our team. As a Computer Vision expert, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the computer vision system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph and inventory information more accurate and real time, as well as help Dasher efficiency. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve consumer vision problems such as entity recognition, entity resolution, attribute extraction, object detection, segmentation, metric learning, and category classification, image classification.Collaborate with cross-functional leaders across engineering, product, and business strategy to help shape a product roadmap driven by machine learning, accelerating the growth of a multi-billion-dollar retail delivery ecosystem.Explore and harness diverse data sources, leveraging intuitive models and fostering a culture of flexible experimentation. Your goal will be to continuously improve the shopping and dashing experiences, delivering solutions that are not only effective but also scalable and user-centric.Drive impact and enjoy ample room for both personal and professional growth. This includes opportunities for deep technical development and leadership as you work within a growing team that is actively unlocking new markets for the company.Innovate and experiment with cutting-edge technologies and methodologies in AI and ML. You’ll have the freedom to explore emerging technologies, test new ideas, and drive technical innovation in the computer vision space, directly shaping the future of our retail and delivery solutions.We’re Excited About You Because You Have…Industry experience developing machine learning models with business impact, and shipping ML solutions to production. You have successfully shipped ML solutions to production and understand the nuances of transitioning models from development to real-world environments.Deep expertise in applied Computer Vision, with hands-on experience solving challenging vision-related problems and implementing solutions that drive customer value. Your knowledge extends to solving complex tasks such as object detection, classification, and segmentation.Strong machine learning and programming skills, particularly in Python, with experience in key ML frameworks such as PyTorch, TensorFlow, or Spark. You’re able to implement scalable models and optimize performance for production systems.You must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New YorkM.S., or PhD. in Computer Vision, Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field is a plusFamiliarity with causal inference and experimentation techniques, enabling you to design and evaluate experiments that validate the effectiveness of ML models and ensure the product’s continuous improvement.Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,"Machine Learning Engineer, Computer Vision"
+473,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.TikTok's immersive experience, global presence, and high engagement makes it the ideal destination for brands, big and small, to showcase their unique identity, connect with their consumers, and build strong lasting relationships over time. Our Brand Ads team focuses on enabling brands to grow and succeed on TikTok by creating cutting-edge monetization products that empowers users, creators, and advertisers.The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting.We are looking for seasoned engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment.What You'll Do Create innovative monetization products that drive engagement and revenue. Participate in the development of a large-scale Ads system. Participate in the development and iteration of Ads algorithms by using Machine Learning Work on NLP and CV related technology for content understanding and taxonomy. Contribute to the success of a rapidly growing and evolving organization with speediness and quality.QualificationsQualifications: BS degree in Computer Science, Computer Engineering or other relevant majors, with 3+ years of related work experience Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python. Ability to think critically and to formulate solutions to problems in a clear and concise way. Relevant professional experience with machine learning, data mining, data analysis, distribution system Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting. Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack Good product sense and experience designing and implementing product features.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at yichen.zhang@tiktok.com.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer, TikTok Branding Ads"
+474,2025-03-27,Broomfield,Colorado,DigitalOcean,https://www.digitalocean.com,"DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean helps developers at startups and growing digital businesses rapidly build, deploy and scale, whether creating a digital presence or building digital products. DigitalOcean combines the power of simplicity, security, community and customer support so customers can spend less time managing their infrastructure and more time building innovative applications that drive business growth.","We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems.Key ResponsibilitiesDevelop, test, and implement predictive models and machine learning algorithms to solve business challenges.Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools.Design and execute experiments (A/B testing, causal inference, etc.) to measure the impact of business initiatives.Collaborate with stakeholders to translate business questions into data science problems and communicate findings effectively.Build and maintain data pipelines and ETL processes to ensure data quality and availability.Present data-driven recommendations to executives and cross-functional teams in a clear and actionable manner.Stay updated on the latest advancements in data science, machine learning, and AI.QualificationsMaster’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.3+ years of experience in data science, analytics, or a similar role.Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.Solid experience with SQL for querying and managing structured data.Knowledge of machine learning, statistical modeling, and optimization techniques.Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.Ability to communicate complex findings to non-technical stakeholders in a clear, concise manner.Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).Familiarity with business intelligence, marketing analytics, or financial forecasting is a plus.Preferred SkillsExperience in causal inference, econometrics, or Bayesian methods.Hands-on experience with ML Ops, model deployment, or data engineering workflows.Understanding of business metrics, growth strategies, and financial modeling.Ability to work in a fast-paced, cross-functional environment.Why You’ll Like Working for DigitalOceanWe innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.We reward our employees. The salary range for this position is $165,000 - $195,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.This is a remote role",Entry level,Data Scientist
+475,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:The E-Commerce Risk Control (ECRC) team's mission is : To protect TikTok e-commerce users, including and beyond buyer, seller, creator; To make Tiktok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform; Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders.The ECRC team works to prevent and detect any risk attempts in Tiktok e-commerce platforms (e.g. TikTok Shop) and to mitigate the negative impact on our customers and Selling Partners (Sps), covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc.We achieve our mission by a) developing state-of-art Machine Learning (ML) solutions to prevent customers, SPs, and Tiktok from being impacted by bad actors’ actions and practices to gain unfair business advantages; b) empowering Tiktok teams, both internal to GNE and external, to reduce risk attempts by utilizing our mechanisms.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms. Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams. Collaborate with multidisciplinary teams to enhance current automation processes. Build efficient data querying infrastructure for real-time and offline analysis. Identify opportunities to strengthen risk defense solutions. Define risk control metrics and promote data-driven practices. Align teams and stakeholders on numeric goals for risk control. Document technical processes and effectively communicate results through writing, visualizations, and presentations.QualificationsMinimum Qualifications: Master's degree in Computer Science, Engineering, Operations Research, or related fields. Current or recent graduate with a background in Computer Science, Computer Engineering, or a related technical discipline Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning. Experience with Python, SQL/Hive, and Hadoop Strong understanding of data structures and algorithms, with excellent problem-solving ability Detail oriented, effective time management, and strong analytical skillsPreferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications Internship experience or research experience, especially in e-commerce, risk control domian Curiosity towards new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilitiesTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2025 Start (MS)
+476,2024-12-11,San Francisco,California,sync.,https://synclabs.so/,"We’re a team of artists, engineers, and researchers building controllable AI video editing tools to unbound human creative potential.
+
+Our research team builds AI video models to understand and affect fine-grained, controllable edits on any human in any video. Our product team makes these models accessible to everyone from everyday people, professional editors and animators, developers, and businesses large or small to reach new audiences and tell outstanding stories.
+
+Our technology is used to automate lip-dubbing in localization processes in entertainment, create dynamic marketing campaigns personalized to individuals or communities, animate new characters to life in minutes instead of days, fix mistakes in post-production by making word-level edits to avoid rerecording entire scenes, and more – this is just the beginning.
+
+In the last 12 months we graduated at the top of our YC batch (W24), raised a $5.5M seed backed by GV, won the AI grant from Nat Friedman and Daniel Gross, scaled to millions in revenue – and we're only just getting started.
+
+For more information, visit https://synclabs.so/","About Sync.sync. is a team of artists, engineers, and scientists building foundation models to edit and modify people in video. Founded by the creators of Wav2lip and backed by legendary investors, including YC, Google, and visionaries Nat Friedman and Daniel Gross, we've raised 6 million dollars in our seed round to evolve how we create and consume media.Within months of launch our flagship lipsync API scaled to millions in revenue and powers video translation, dubbing, and dialogue replacement workflows for thousands of editors, developers, and businesses around the world.That's only the beginning, we're building a creative suite to give anyone Photoshop-like control over humans video – zero-shot understanding and fine-grained editing of expressions, gestures, movement, identity, and more.Everyone has a story to tell, but not everyone's a storyteller – yet. We're looking for talented and driven individuals from all backgrounds to build inspired tools that amplify human creativity.About The RoleWe're seeking an exceptional ML Engineer to expand the boundaries of what's possible with AI video manipulation. You'll work with the creators of Wav2lip to build and extend computer vision pipelines giving users unprecedented control over humans in video.What You'll Do Create novel CV features that unlock new forms of video manipulation Build ML pipelines that understand and modify humans in video Transform research breakthroughs into production capabilities Design systems that make complex AI feel like magic to users Pioneer new approaches to fine-grained video controlWhat You'll Need 5+ years implementing computer vision and ML systems that users love Deep expertise in PyTorch and video processing pipelines Track record of shipping novel ML features from concept to production Ability to bridge cutting-edge research with practical applications Strong collaboration skills across research and engineering teamsPreferred Qualifications Experience with face/human detection and tracking Background in generative AI or video understanding History working with large-scale video datasets Open source contributions to CV/ML projectsOur goal is to keep the team lean, hungry, and shipping fast.These are the qualities we embody and look for:[1] Raw intelligence: we tackle complex problems and push the boundaries of what's possible.[2] Boundless curiosity: we're always learning, exploring new technologies, and questioning assumptions.[3] Exceptional resolve: we persevere through challenges and never lose sight of our goals.[4] High agency: we take ownership of our work and drive initiatives forward autonomously.[5] Outlier hustle: we work smart and hard, going above and beyond to achieve extraordinary results.[6] Obsessively data-driven: we base our decisions on solid data and measurable outcomes.[7] Radical candor: we communicate openly and honestly, providing direct feedback to help each other grow.Compensation Range: $145K - $225K",Mid-Senior level,Machine Learning Engineer
+477,2025-04-07,Basking Ridge,New Jersey,Collabera,http://www.collabera.com,"In our relentless pursuit of greatness, we are dedicated to developing individuals, creating exceptional teams, and cultivating a unique culture of unity and care. As providers of digital talent solutions, we aim to positively impact businesses and communities globally. We would be honored to be your trusted and uncommon partner on this journey.","About Collabera:Collabera is a leading global technology services and solutions provider committed to delivering high-quality, innovative solutions to our clients. Our diverse, global talent helps clients transform every aspect of their business and achieve exceptional results. We achieve success through collaboration and the use of our digital platforms. With AI, our extensive talent network and in-depth learning solutions on the newest technologies, we provide the best Talentforce for today, tomorrow, and the next ERA.Location: Charlotte NC, Hybrid - 3 days a week onsite, 2 days remoteAbout the Role:Join our innovative team as a AI Machine Learning//LLM Engineer, you will be responsible for designing, developing, and deploying scalable AI solutions. You will work with a team of skilled professionals to create and optimize AI models, leveraging state-of-the-art technologies in cloud-native architectures and generative AI frameworks. Your expertise in API development, real-time data streaming, and distributed computing will be crucial in delivering high-performance AI applications.Key Responsibilities:Develop and implement APIs using FastAPI, Unicorn, and Swagger to support AI and machine learning applications.Design cloud-native architectures for scalable and efficient deployment of AI models.Utilize generative AI frameworks such as LLaMA and Mistral to create innovative solutions.Optimize and deploy AI models on GPU clusters, leveraging parallel processing for deep learning and generative AI applications.Implement multi-GPU training and distributed computing frameworks like TensorFlow Distributed, PyTorch Distributed, and Horovod to enhance AI/ML workloads.Configure and manage NVIDIA GPU and Google Cloud Platform (GCP) resources, including TPUs and GPU instances.Utilize Apache Spark (PySpark) and Kubernetes for distributed data processing and orchestration.Implement real-time data streaming solutions using Apache Kafka.Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.Qualifications:Proven experience in AI/ML engineering, with a focus on large language models (LLMs) and generative AI.Strong proficiency in Python and experience with frameworks like Django.Hands-on experience with distributed computing frameworks and multi-GPU training.Knowledge of cloud platforms, especially GCP, and experience configuring GPU and TPU instances.Familiarity with Apache Kafka for real-time data streaming.Experience in optimizing AI models for performance and scalability.Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.Preferred Qualifications:Experience with Apache Spark (PySpark) and Kubernetes.Familiarity with Unicorn and Swagger for API development.Previous experience with LLaMA, Mistral, or similar generative AI frameworks.Why Join Us?Be part of a high-impact team at the forefront of technology and finance transformation.Opportunity to work on cutting-edge engineering projects with top-tier tools and frameworks.Collaborate with a team of experts passionate about driving innovation in financial technology.How to Apply:If you're passionate about machine learning and Generative AI, and you're looking to make a significant impact in a forward-thinking financial institution, we'd love to hear from you. Please submit your resume and a cover letter detailing your relevant experience and interest in the role.",Mid-Senior level,Machine Learning Engineer - Gen AI
+478,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safetyQualificationsMinimum Qualifications: Current or recent graduates with a background in Computer Science, related technical field or equivalent industry experience Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Experience in Deep Learning Tools such as tensorflow/pytorch Experience with at least one programming language like C++/Python or equivalent Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employmentTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (eCommerce Recommendation) - 2025 Start (BS/MA)
+479,2025-04-02,Manorville,New York,Talent Vine,http://talent-vine.io,"Founded on integrity, Talent Vine is the “anti-agency” recruiting firm empowering early and growth stage companies with the support needed to find the right talent for the right role at the right time.","Software Engineer (Full Stack) – Early CareerAbout the CompanyOur client is a venture-backed startup transforming how the government and private sector collaborate to solve some of the world’s most complex challenges—starting with national security. Their AI-powered platform streamlines government contracting by surfacing the most relevant grants, awards, and opportunities for innovative companies. Backed by top-tier investors and recently selected for a strategic partnership by the Defense Innovation Unit, they’re growing quickly and hiring early-career engineers to help build the next generation of tools in this space.About the RoleOur client is seeking a full stack engineer who’s excited to own meaningful projects from day one. This is an ideal opportunity for a new grad or someone with 1–3 years of experience who’s eager to work in a fast-paced, mission-driven environment.As an engineer, you’ll work across the stack to build and iterate on features used by real customers—including engineers, operators, and business leaders navigating the world of public sector technology. You’ll also engage with the founding team, interface directly with users, and have a clear path to impact.What You’ll DoDevelop and ship full-stack features across the frontend, backend, and infrastructureWrite production-level code primarily in Python and ReactCollaborate closely with the engineering team and company leadershipInterface with customers to understand pain points and improve the productBuild tools to process, analyze, and display large datasetsContribute to the design of scalable, intuitive software systemsOperate with autonomy in a startup environment where speed and ownership matterWhat We’re Looking For0–3 years of professional experience (new grads welcome)Strong proficiency in Python and ReactFamiliarity with tools like Django, AWS, Spark, or similar frameworksSolid fundamentals in software engineering and CS principlesGreat communication skills and ability to collaborate across teamsStrong sense of initiative and ownershipU.S. citizenship (required)Willingness and ability to work on-site in BostonBonus Points ForExperience with ML, LLMs, or building data pipelinesPersonal or open-source projects that demonstrate curiosity and technical abilityExperience working in startups or early-stage environmentsWillingness to travel occasionally for user engagementWhy Apply?This is a unique opportunity to help build software that directly supports national priorities—while growing your career in a fast-moving, high-ownership engineering environment. You’ll work side-by-side with experienced engineers and founders, with real room for growth and impact.",Entry level,Software Engineer (Early Career)
+480,2025-03-30,Pittsburgh,Pennsylvania,Gecko Robotics,http://www.geckorobotics.com/,"Gecko Robotics is the pioneer of AI + Robotics [AIR technology], transforming how the world builds, operates, and maintains its most critical infrastructure for a more reliable and sustainable future. Using fixed sensors and robots that climb, crawl, swim, and fly, we combine first-order data layers with the predictive power of AI into a single source of truth for the physical world. Cantilever® is our operating platform, powered by AIR technology, that empowers teams to achieve operational excellence through actionable data for immediate and long-term planning.
+
+Improve operations. Optimize capital outlay. Extend asset life. That's our promise.","What We DoGecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role at a Glance As a Machine Learning Engineer at Gecko, you will be working with Gecko’s unique dataset to develop and deploy machine learning models to solve critical business problems. You will work deeply on problems such as: classifying valid vs. invalid signals; taking accurate measurements from valid signals; and identifying damage mechanisms such as cracks, corrosion, or laminations across a large collection of signals. Gecko owns a growing repository of mechanical integrity data, including large volumes of ultrasonic, imagery, and other data points concerning the integrity of critical infrastructure assets worldwide.Gecko is expanding our Machine Learning team to better leverage the vast data store we have collected over time. This is a chance to be one of the first dedicated engineers in an area we expect to grow significantly over the next few years, within a space that is ripe for innovation and solving problems in a way they haven’t been attempted before.What You Will DoDevelop novel (supervised and unsupervised) ML models to help solve important business problems, becoming an expert in unique domains like ultrasonic digital signal processing for non-destructive testing.Roll out models to production by developing integrations with mission critical analytical tools and building the necessary ML Ops infrastructure to support high quality iteration.Help Gecko identify new problems we could tackle with AI/ML (such as defect detection, automated repair planning, and more) and help cultivate necessary training sets to start solving those problems.Technologies We UsePython, PyTorch, NumpyDocker, GCP, Cloud Run, Batch, CollabUltrasonic DSPWe use a variety of technologies, but our Software teams primarily operate using Python, React, and Typescript with Google Cloud Platform (GCP) as our cloud provider. This is a non-exhaustive list and we are tech agnostic in our interview process, so we encourage you to apply regardless of your background.About YouRequired Skills 5+ years of engineering experience, with at least 3+ years in a dedicated machine learning rolePractical knowledge of machine learning algorithms and frameworks suitable for time-series analysis and anomaly detection in signal dataAbility to read and implement ML papersKnowledge of at least 1 machine learning framework (i.e. PyTorch) and has seen at least one ML model in productionFamiliarity with MLOps conceptsA strong sense of intellectual curiosity, and the desire to dive deep into exploratory projects alongside production ready deploymentsPreference for projects with high ownership, and the ability to work effectively both autonomously and on teamsDesire to have a high impact at a fast-moving startup as a key contributor on a new project and fast-growing teamExceptional communication skills and commitment to receiving and providing continuous feedbackBachelor’s degree in Computer Science or closely related field (or equivalent experience)Preferred SkillsExperience with PyTorchExperience with MLOps tools such as MLFlowKnowledge of signal processing techniquesMachine Learning work in ultrasonic signals, audio signals, or another unconventional domain Evidence of clear impact and growth in a fast-growing startup environmentWho We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off.Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.",Mid-Senior level,Machine Learning Engineer
+481,2025-03-06,San Francisco,CA,Corelight,https://www.corelight.com,"Corelight transforms network and cloud activity into evidence so that data-first defenders can stay ahead of ever-changing attacks.
+
+Delivered by our open NDR platform, Corelight’s comprehensive, correlated evidence gives you unparalleled visibility into your network. This evidence allows you to unlock new analytics, investigate faster, hunt like an expert, and even disrupt future attacks.
+
+Our on-prem and cloud sensors go anywhere to capture structured, industry-standard telemetry and insights that work with the tools and processes you already use. Corelight’s global customers include Fortune 500 companies, major government agencies, and research universities.
+
+Get started >> https://www.corelight.com/contact","Do you want to help make the world safe from cyber attack?At Corelight, we believe that the best approach to cybersecurity risk starts with the network. Attackers can evade endpoint detection, firewalls and many other technologies - but they can't avoid leaving digital footprints on the networks they traverse. Built on open-source innovations from Zeek, Suricata and YARA and refined through years of real-world use, Corelight transforms network footprints from physical, virtual and cloud networks into actionable insights. Our customers use these insights to speed incident response and proactively hunt for threats.We are building a world class and uniquely targeted team to drive research through data science and security expertise. The ideal candidate will use their strong analytic skills and awareness of network and cloud security data to drive novel, durable, and effective threat detection. Corelight can define the data our sensors generate, you will have the opportunity to contribute to how we extend the data itself to enable new types of analysis asneeded. You will be able to look back a year from now and say two things with pride: first, ""I helped to build that."" and second, ""We are generating insights that no one else in the world has achieved.""As a Machine Learning Engineer within Corelight Labs, you will work closely with data scientists and network security experts to explore, design, build and deliver machine learning solutions for challenging network security problems. You will play a crucial role in the exploration and development of the ML capabilities powering our product offerings.ResponsibilitiesContribute to the full range of stages of AI/ML projects, from early explorations to productization and maintenance.Work closely with data scientists and network security experts to design and implement scalable ML pipelines for large datasets.Design and implement strategies to deploy LLMs and for fine-tuning.Conduct experiments, analyze results and resource consumption using various metrics and visualization techniques.Drive adoption of ML development best practices in code health, quality, test stability and maintainability.Participate in technical discussions within the Labs team and collaborate with other teams across the organization.Work in an Agile development team focused on exploring and delivering ML use cases.Minimum QualificationsStrong appreciation for our core values: low ego results, tireless service, and applied curiosity.3+ years experience developing, optimizing, troubleshooting, and maintaining large-scale machine learning systems.Experience in DevOps and/or MLOps: continuous integration and delivery, automation of ML workflows, and deployments to production environments.Understanding of data preprocessing, feature engineering and machine learning algorithms.Understanding of model testing and validation techniques for ensuring model quality and performance.Experience in Python and data science libraries (Pandas, Scikit-Learn, Keras, PyTorch, Tensorflow).Experience using Docker and/or Kubernetes, and containerized applications.Excellent communication skills to work effectively in a team.Degree in Computer Science or related fields, or equivalent experience.Preferred QualificationsExperience adopting and using Agile development tools and methodologies, and working in a distributed team.Experience with local deployments and fine-tuning of LLMsFamiliarity with the network security domain.Experience using feature stores and ML frameworks like Kubeflow, Cortex, Seldon, or BentoML.Experience in designing and implementing data pipelines using Apache Spark.Experience with cloud computing, especially Databricks and AWS Services (EC2, S3, Cloudwatch)Experience with experiment tracking and reproducibility tools.Fueled by investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight, Corelight is the fastest growing network detection and response platform in the industry. Our customers trust us to protect mission-critical assets in leading enterprises, government, and research institutions worldwide. We are leading the way with AI-assisted workflows, machine learning models, cloud security and SaaS-based solutions to arm defenders with the tools and knowledge they need to disrupt cyber attacks. Our team of passionate innovators are dedicated to solving some of the toughest challenges in cybersecurity, while fostering a collaborative, inclusive, and growth-oriented culture. Corelight is committed to a geographically distributed yet connected employee base with employees working from home and office locations around the world. At Corelight, we are proud of our diversity of background and thought, and we're united by our strong shared culture and values.We are looking forward to meeting you. Check us out at www.corelight.comNotice of Pay Transparency:The compensation for this position may vary depending on factors such as your location, skills and experience. Depending on the nature and seniority of the role, a percentage of compensation may come in the form of a commission-based or discretionary bonus. Equity and additional benefits will also be awarded.Compensation Range$153,000—$188,000 USD",Entry level,Machine Learning Engineer
+482,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team IntroductionThe Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly TikTok users around the world. Our mission is to build a world where ""there is no hard-to-sell good-priced product in the world"".We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. This Internship Program Runs For 12 Weeks Beginning In May/June 2025. Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.ResponsibilitiesImprove the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales. Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.QualificationsMinimum Qualifications:Currently pursuing an Master in Computer Science or a related technical disciplineAble to commit to working for 12 weeks during Summer 2025Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.Preferred QualificationsGraduating December 2025 onwards with the intent to return to degree program after the completion of the internship.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2",Internship,Machine Learning Engineer Intern (Search E-commerce) - 2025 Summer (MS)
+483,2025-04-04,San Francisco,CA,Docusign,http://www.docusign.com,"Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign IAM, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).				","Company OverviewDocusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).What you'll doDocusign is excited to offer an AI Platform Engineering Internship to a driven and innovative junior college student. The intern will be able to work alongside experienced professionals and contribute to real-world projects that drive our business forward. This position will introduce the intern to various AI/ML technologies, including document understanding, natural language processing, prompt engineering, intelligent search systems, industry-leading LLMs, Python, and Azure, and provide a platform for prototyping and productizing solutions for real business use cases at scale.This role is not eligible for CPT, OPT or sponsorship.This position is an individual contributor role reporting to the Senior Director of Engineering.ResponsibilityCollaborate with Applied Science, Product, and other engineers across multiple offices and time zones to create and deliver new machine learning products and features on timeContribute to the development of AI infrastructure by building highly scalable gRPC-based services to enable offline and online machine learning pipelines, ensuring enterprise-grade security and reliabilityWrite clean, maintainable, efficient code compliant with Docusign standards and best practicesParticipate in code and design reviews, ensuring the quality and maintainability of our codebaseTroubleshoot and resolve issues in our dev, test, and production environmentsDocument code, write technical specifications, and contribute to our internal knowledge baseWork closely with mentors and other team members to achieve project goals and meet deadlinesEngage actively in continuous learning and development in emerging technologies and platformsJob DesignationHybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.What you bringBasicCurrently pursuing a Bachelor’s degree in Computer Science, Information Systems, or a related fieldJunior standing graduating in December 2025, May/June 2026PreferredFamiliarity with scripting languages such as PythonBasic understanding of AIStrong problem-solving abilities and eagerness to tackle complex challengesExcellent communication and interpersonal skillsEnthusiasm for learning and working with different technologies, including AI/MAbility to work effectively in a collaborative team environmentSelf-motivated with a strong work ethic and a desire to learn and growAbility to receive and give feedbackWage TransparencyPay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.Based on applicable legislation, the below details pay ranges in the following locations:Washington, New Jersey and New York (including NYC metro area): $31.00/hour - $38.00/hourLife at DocusignWorking hereDocusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.AccommodationDocusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.Applicant and Candidate Privacy NoticeStates Not Eligible for EmploymentThis position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.Equal Opportunity EmployerIt's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.EEO Know Your Rights poster",Internship,AI Platform Software Engineer Intern
+484,2025-03-19,Alexandria,VA,Whitespace,http://inthewhitespace.com,"We’re a human-centric company known for our data-centric solutions. Our team is on a mission to share the data, techniques, and technology needed to bring the most complex security, risk, and intelligence questions within reach. As perpetual learners, we emphasize training and exposure to new challenges as the keys to unlocking growth, wisdom, and human potential.
+
+OUR PHILOSOPHY: Keep people, technology, and the pursuit of wisdom at the heart of everything we do.
+OUR MISSION: Empower our clients with practical solutions for understanding human activity anywhere in order to advance human security everywhere.
+OUR VALUES: Bold vision guides us. Positive impact drives us. Integrity grounds us. Wear your heart on your sleeve, take ownership, speak up, practice respect, and support each other. Always take your work seriously, but never yourself.
+
+THE FUTURE OF HUMAN SECURITY IS DATA-DRIVEN","At GeoDelphi Inc., we harness the power of commercial data to drive innovation and deliver cutting-edge solutions. As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and expert-machine teaming. Join us in transforming data into actionable intelligence that keeps pace with world events. Learn more about our mission at inthewhitespace.com.We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT. The Tactical Surveillance, Reconnaissance, and Tracking (TacSRT) program leverages commercial satellite imagery and advanced analytics to provide timely situational awareness and operational planning products to combatant commanders. Your expertise will help support this mission by uncovering hidden activities within data and delivering actionable information. Our ideal team member will have mathematical and statistical expertise as well as an inquisitive and creative mind. As you mine, interpret, and clean the data, we will rely on you to ask questions, connect the dots, and uncover opportunities for TacSRT and their mission. In this role, you will collaborate closely with the TacSRT team, contributing to a shared vision and making a tangible impact on national security and operational effectiveness.Remote/Hybrid Work Arrangement:If you reside within the DMV (DC, Maryland, Virginia) area: This position requires you to work in our Alexandria VA office 2-3 days a week. The remaining days can be worked remotelyIf you reside outside of the DMV area: This position is 100% remoteTravel: Up to 10% travel may be required to locations such as Los Angeles, CA, Colorado Springs, CO, or the DMV areaOn Call: There may be occasional weekend requests from the client. Our team member must be willing to be on call for weekend requirements.The candidate MUST be a US citizen and reside in the contiguous United States. The candidate must be a W2 employee of GeoDelphi, Inc. No 3rd party applications.RequirementsRESPONSIBILITIESCollect and analyze statistics and information from multiple sources to identify trends and gain maximum insight that can give the client a competitive advantage and communicate informed conclusions and recommendations across an organization's leadership structureStrategize and identify unique opportunities to locate and collect new dataExplore and mine data from many angles and determine what it meansCommunicate data findings to the customer to provide critical information that will assist their approach and meet the business challenges of an evolving customer base and changing marketplace, using strong business acumenCollaborate with the engineering and research & development teams to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issuesIdentify and recommend new uses for existing data sources; design, modify, and build new data processesImplement new or enhance existing software designed to access and handle data more efficientlyConduct scalable data research on and off the cloudBuild large and complex data setsExperienceA minimum of 5 years of experience in data science with a focus on geospatial data analysisConducts statistical modeling and experimental design, tests, and validates predictive modelsExperience with data visualization tools to deliver interactive, mission-critical products to internal and external stakeholders and clientsDesired SkillsExperience with Geographic Information Systems such as QGIS or ArcProExperience with Python geospatial data analysis tools such as GeoPandasKnowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysisSpecialized training from any intelligence collection and analysis school or certification to include GEOINT Professional Certification, Activity Based Intelligence CertificationBenefitsMedical, Dental, and Vision plansUnlimited PTOFederal Holiday Paid Leave12 weeks of paid Parental LeaveEmployer paid STD/LTDEmployer Paid Life Insurance401K plan and Employer MatchProfessional Development AssistanceEquity Incentive Plan Who we are:GeoDelphi, Inc. dba Whitespace is building an Agentic AI, Iris, for global leaders. Recognized as the most innovative company in the Geospatial Industry, Whitespace exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming. Our answers are rooted in truth data about human activity, delivering reliable decision advantage that keeps pace with world events. Whitespace is headquartered in Alexandria, Virginia. For further information, visit: http://www.inthewhitespace.com.GeoDelphi Inc.. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, pregnancy, gender identity, national origin, disability, or Veteran status.",Mid-Senior level,Data Scientist
+485,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.TikTok's immersive experience, global presence, and high engagement makes it the ideal destination for brands, big and small, to showcase their unique identity, connect with their consumers, and build strong lasting relationships over time. Our Brand Ads team focuses on enabling brands to grow and succeed on TikTok by creating cutting-edge monetization products that empowers users, creators, and advertisers.The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting.We are looking for seasoned engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment.What You'll Do Create innovative monetization products that drive engagement and revenue. Participate in the development of a large-scale Ads system. Participate in the development and iteration of Ads algorithms by using Machine Learning Work on NLP and CV related technology for content understanding and taxonomy. Contribute to the success of a rapidly growing and evolving organization with speediness and quality.QualificationsQualifications: BS degree in Computer Science, Computer Engineering or other relevant majors, with 3+ years of related work experience Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python. Ability to think critically and to formulate solutions to problems in a clear and concise way. Relevant professional experience with machine learning, data mining, data analysis, distribution system Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting. Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack Good product sense and experience designing and implementing product features.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at yichen.zhang@tiktok.com.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $137750 - $237500 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, TikTok Branding Ads"
+486,2025-03-21,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for a skilled machine learning engineer to help us develop the cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Applied Machine Learning engineer to join our team. As a Machine Learning Engineer, you will conceptualize, design, implement, and validate algorithmic improvements to the catalog system and our product knowledge graph, which is at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams.You will report into the engineering manager on our New Verticals, Catalog ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve catalog building and quality problems such as entity recognition, entity resolution, attribute extraction, category classification, and image classification.Partner with engineering, product, and business strategy leaders to help shape our ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in building product knowledge graphs.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Mid-Senior level,Machine Learning Engineer - New Verticals Catalog
+487,2025-04-09,New York,NY,Venmo,http://www.venmo.com,"At Venmo, we’re working to build a payment experience that's simple, delightful and connected. Since our founding in 2009, we’ve quickly grown from an idea hatched by two college roommates who wanted a better way to pay each other back to the go-to digital wallet that’s known and loved by millions. What started off as a simple SMS platform to send and receive money has evolved into a social payments app allowing people to pay, split and share their experiences.","The CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Description Summary:Meet Your Team PayPal is transforming global commerce. Our Engineering team is the heart of this transformation. We’re building innovative solutions that delight customers and drive business growth. Join our dynamic engineering team at PayPal, where you’ll have the opportunity to collaborate with talented peers and work on high-impact projects in an agile environment. We're not just building systems; we're creating scalable, high-performance solutions that make a real difference in global commerce. We prioritize code quality, customer focus, and rapid iteration. Our engineers work closely with design, product, and QA teams to deliver world-class experiences.Job Description:Your way to impactAt PayPal, Backend Software Engineers are the architects of our global payment platform. You'll design, develop, and optimize core systems that power millions of transactions daily, directly impacting our customers' experiences and our company's success.Your day-to-dayAs a Software Engineer, Backend Python you'll contribute to building robust backend systems. You'll collaborate closely with experienced engineers to learn and grow your skills.Develop and maintain backend components.Write clean, efficient code adhering to coding standards.Participate in code reviews and provide feedback.What Do You Need To BringBachelor's degree in Computer Science or related field.2+ years of backend development experience. Strong foundation in programming concepts and data structures.Proficiency in at least one backend language (Python)Proficiency in backend development using Python frameworks, with experience in technologies such as frameworks like Django and Flask.Strong understanding of web services and Service-Oriented Architecture (SOA) standardsExperience with databases (SQL, NoSQL)Preferred QualificationsExperience with large-scale, high-performance systems.Knowledge of the payment processing industry and relevant regulations.Experience with cloud platforms (AWS, GCP, Azure).Contributions to open-source projects.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspxCommitment to Diversity and InclusionPayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.Belonging at PayPal:Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please Join our Talent Community.We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.Notice to Applicants and Employees who reside within New York city. Click https://careers.pypl.com/Contact-Us/default.aspxto view the notice.REQ ID R0124673",Not Applicable,"Associate Software Engineer, Backend Python"
+488,2025-03-19,Mountain View,California,Applied Intuition,https://www.appliedintuition.com,"Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines.
+
+Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market.
+
+18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo.","About Applied IntuitionApplied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: this is not applicable for EpiSci roles).About The RoleWe are looking for a software engineer with expertise in perception for autonomous vehicles or mobile robots. Your contributions will focus on building out key capabilities of perception modules within an autonomous vehicle stack. You will also drive the design and development of computer vision and machine learning techniques to enable self-driving vehicles to navigate.In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!We are hiring for all levels.At Applied Intuition, you will:Design and implement capabilities and workflows for cutting-edge real-world perception systemsWork closely with our sensor simulation team to ensure we build the best range of multi-fidelity simulation modelsWork closely with our infrastructure team to provide the best enterprise software for engineering, testing, and customer product teamsWe're looking for someone who has:Passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems3+ years of experience building software components or (sub) systems that address real-world perception challengesHands-on experience with more than one domain relevant software frameworks or tools, such as middleware, benchmarking suites, data sets and related pipelines, or algorithmic librariesDeep understanding of the concepts and methods behind any frameworks or libraries that they worked withExperience working with production level ML and DL perception algorithms for autonomous vehiclesNice to have:MSc or PhD in perception or closely related fieldDeep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, computational geometry, numerical analysis, or distributed systemsExperience building and shipping software frameworks or toolsThe salary range for this position is $65,000 USD to $400,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.",Entry level,ML Perception Software Engineer
+489,2025-04-09,Boston,MA,The TalentHaus,www.thetalenthausinc.com,"The TalentHaus specializes in developing innovative and streamlined people solutions that empower organizations of all sizes to scale on demand. We recognize that the talent acquisition process can often be expensive, complex, and time-consuming. To address these challenges, we’ve implemented a range of tailored delivery approaches designed to maximize results while minimizing risk and cost.
+
+Our comprehensive solutions include, but are not limited to:
+•	Recruiting for Recruiters (R4R)
+•	Recruitment Process Outsourcing (RPO)
+•	Sourcing Engine
+•	Contingency and Retained Search
+•	Start-Up Consulting
+
+We pride ourselves on offering flexible contracts that adapt to the unique needs of each client, ensuring a seamless and effective partnership. At The TalentHaus, we are committed to helping you achieve your hiring goals efficiently and cost-effectively.
+
+Founded in 2018 as Prevision Personnel, we quickly established ourselves as a premier talent acquisition partner. We have collaborated with companies across numerous verticals to help meet diverse hiring goals. In 2022, we chose to rebrand our company as “The TalentHaus” to incorporate our candidate-centric segment, Talenthaus University. In order to deliver top talent, we provide candidates with the tools and assistance needed to illuminate their backgrounds in the best light and prepare them for the competitive interview process. Our business is built off a shared obsession to consistently deliver results for our customers and candidates. We love building companies the right way and strive to partner with companies that share the same passion for their business and people! We are a one-stop shop for candidates and clients looking to find the right match.
+","Our client is an exciting Generative AI Start-Up at the forefront of innovation, transforming industries with cutting-edge AI solutions. Leveraging advanced machine learning and artificial intelligence, they are redefining how businesses operate by building next-generation AI applications that drive automation, efficiency, and customer engagement. They are seeking a Machine Learning Engineer to enhance their AI capabilities and contribute to groundbreaking advancements in Generative AI.What do we need? We are looking for a highly skilled Machine Learning Engineer with deep expertise in Generative AI models, AI/ML frameworks, and cloud-based infrastructure. The ideal candidate will have at least five years of experience developing, training, and deploying machine learning models in production, with a strong emphasis on generative models, transformers, and AI-driven applications.This role requires a strategic thinker and hands-on developer who can translate business challenges into GenAI-powered solutions. The Machine Learning Engineer will be instrumental in designing scalable ML pipelines, optimizing generative models, and driving continuous innovation in AI applications.What will you do? Generative Model Development: Design, develop, and fine-tune Generative AI models (e.g., transformers, diffusion models, GANs, VAEs) to create innovative AI applications.Algorithm Optimization: Enhance model accuracy, efficiency, and scalability through advanced tuning, feature engineering, and data preprocessing.Data Pipeline & Infrastructure: Build and maintain scalable data pipelines to support large-scale model training, real-time inference, and multimodal AI applications.Model Deployment & Integration: Deploy and integrate Generative AI models into production systems, ensuring high performance and minimal latency.AI Tool Utilization: Leverage cutting-edge AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, and LangChain to accelerate development and optimize model performance.Performance Monitoring & Continuous Improvement: Monitor AI model performance in production and implement iterative improvements for enhanced accuracy and efficiency.Cross-Functional Collaboration: Work closely with AI researchers, software engineers, and product teams to build and deploy state-of-the-art GenAI applications.Research & Innovation: Stay ahead of advancements in Generative AI, exploring novel architectures and methodologies to enhance business impact.Who you are Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.5+ years of experience in machine learning, AI, or deep learning, with a strong focus on Generative AI.Strong proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, Hugging Face, and Scikit-learn.Expertise in transformers, large language models (LLMs), generative adversarial networks (GANs), diffusion models, and multimodal AI.Proven experience deploying GenAI models in production (e.g., OpenAI, Stable Diffusion, LangChain, or similar).Strong background in cloud platforms (AWS, Azure, Google Cloud) and scalable ML infrastructure.Experience with NLP, computer vision, and multimodal AI applications.Excellent problem-solving and analytical skills, with a track record of turning AI research into real-world applications.Strong communication and collaboration skills, with the ability to work across teams.Why Join?Be at the forefront of Generative AI innovation, working with cutting-edge technologies and AI experts.Shape the future of AI-driven applications within a fast-growing, high-impact company.Work on real-world AI challenges that push the boundaries of automation and intelligence.Competitive compensation package with performance-based incentives.Career growth opportunities in a dynamic and fast-growing AI company.If you are passionate about Generative AI and eager to create impactful AI-driven applications, we encourage you to apply!",Mid-Senior level,Machine Learning Engineer
+490,2025-03-26,San Mateo,California,Guidewire Software,https://www.guidewire.com,"Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. More than 570 insurers in 42 countries, from new ventures to the largest and most complex in the world, rely on Guidewire products. With core systems leveraging data and analytics, digital, and artificial intelligence, Guidewire defines cloud platform excellence for P&C insurers.
+
+We are proud of our unparalleled implementation record, with 1,700+ successful projects supported by the industry’s largest R&D team and SI partner ecosystem. Our marketplace represents the largest solution partner community in P&C, where customers can access hundreds of applications to accelerate integration, localization, and innovation.
+
+For more information, please visit https://www.guidewire.com/.","SummaryAt Guidewire, we offer a combination of good working conditions, an excellent market opportunity, a rational and meritocratic company culture, quality software products, and a long history of careful hiring have allowed us to create an enviable work environment.Our Machine Learning team here at Guidewire is responsible for building Machine Learning Systems and Tools that make Guidewire products more intelligent and helps deliver analytics at scale. We are constantly faced with results-oriented challenges in the areas of Natural Language Processing, Deep Learning, Risk Modeling and Operational Analytics. You will be working in a team of 10 of data scientists and engineers who hunt down non-obvious datasets and apply ML techniques to enhance more traditional insurance underwriting processes.Job DescriptionYour day-to-day:Be part of a cross-functional team implementing Generative AI (GenAI) solutions for some of the most critical business needs in the insurance industry. Design, test and build GenAI infrastructure for guidewire Large Language Models (LLMs). Create data solutions, prompt engineering for models, fine tuning and deploying LLMs.Guidewire’s GenAI team is the center of excellence for machine learning and AI. This role is a great opportunity for individuals motivated by learning cutting edge technologies and their application to solve real world business problems. Guidewire is the AWS for insurance companies that use our platforms and applications. The GenAI solutions developed by you and this team will be used by hundreds of insurance companies and impact billions of dollars in annual transactions.Requirements0+ years of professional experience working in Machine Learning and Data Science.Bachelor’s or Master’s Degree in Computer Science, or equivalent level of demonstrable professional competency.Proficient with Python programming language. Knowledge of ML Ops good practices for model development, deployment and monitoring.Familiar with AWS cloud technologies such as S3, EC2, RDS, etc.Good understanding of statistical learning algorithms such as GLM, XGBoost, and Random Forest to solve real world business problems.Familiarity with the setup and use of various open source LLM foundation models.Prompt engineering and fine tuning concepts for LLM performance.Creating and using vectorized databases for data storage and retrieval.Familiarity with various LLM architecture patterns such as RAG and FLARE.Understanding of LLM performance evaluation and monitoring using NLP and LLM-assisted metrics.Preferred SkillsData engineering experience with SQL, Spark or AWS Glue.Experience using Docker or Kubernetes to deploy containerized applications.Experience using TeamCity and Terraform for infrastructure setup and CI/CD.Insurance industry or related experience such as banking and finance.The US base salary range for this full-time position is $80,000 - $144,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail Accommodations@guidewire.com to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.About GuidewireGuidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.",Not Applicable,Machine Learning Engineer
+491,2025-03-28,Ridgefield Park,NJ,Samsung Electronics America,http://www.samsung.com/us/,"Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays.
+
+We’re committed to keeping co-prosperity at our core through creating human-centric innovation, empowering the next generation and serving the communities where we live and work. As an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, SEA is dedicated to positively impacting the environment through its eco-conscious products, practices and operations. ","Position SummarySamsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team.Location: Mountain View, CARole and ResponsibilitiesLead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market.Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.Mentor junior engineers and provide technical guidance.Learn quickly and adapt to a fast-paced working environment.Experience RequirementsMaster’s or PhD degree in Computer Science or related fields.4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.Solid theoretical background in machine learning and/or data mining.Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).Hands-on experience with production-grade machine learning solutions.Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).Extensive programming experience in Python, Go, or other OOP languages.Familiarity with data structures, algorithms, and software engineering principles.Proficiency in SQL and databases.Strong communication and interpersonal skills to drive cross-functional partnerships.Preferred Experience RequirementsPublications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).Basic knowledge about Amazon Web Services (AWS).Experience with the advertising industry and real-time bidding (RTB) ecosystem.The salary range for this role, for candidates based in California, is expected to be between $ $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.Reasonable Accommodations for Qualified Individuals with Disabilities During the Application ProcessSamsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.",Mid-Senior level,Machine Learning Model Engineer - Advertising - Recommendation Systems
+492,2025-03-29,San Francisco,California,Together AI,https://together.ai,"Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models. We believe open and transparent AI systems will drive innovation and create the best outcomes for society.","RoleAs an ML Engineer within the Fine-Tuning API team at Together AI, you will develop a platform that allows our users to customize open-source models with their data. You will collaborate with our product and research teams, developing features that will enable new use cases for the Fine-Tuning API. You will also work with the engineering team to ensure that our API is reliable and well-integrated into the company’s technical infrastructure. You will have an opportunity to build the foundational layer of the open-source AI ecosystem, letting developers all over the world efficiently create high-quality models tailored to their application scenarios.ResponsibilitiesBuild and improve Together’s systems and infrastructure for customizing open-source modelsCreate tooling and documentation to set our users up for success with the Fine-Tuning APIMake sure the service is stable and robust, participating in an on-call rotation and ensuring 24/7 availability of our platformAnalyze and increase the efficiency of fine-tuning methods, both from research and engineering perspectivesDevelop new features and capabilities for the API based on latest research in AIRequirementsHave 2+ years of experience building and deploying machine learning-based services in a production environmentHave working knowledge of latest methods for fine-tuning LLMs or other AI modelsHave a strong software engineering background in Python or GoAre passionate about making reliable and convenient tools for software developersFollow latest advances and trends in the Machine Learning communityExperience in any of the following will make you stand out:Developing large-scale and high-load production systemsImplementation and design of advanced methods for efficient fine-tuningMaintaining or contributing to open-source ML projectsManaging machine learning workloads on Kubernetes clustersAbout Together AITogether AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.CompensationWe offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.Equal OpportunityTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.Please see our privacy policy at https://www.together.ai/privacy",Entry level,"Machine Learning Engineer, Fine-Tuning API"
+493,2025-03-22,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our team is responsible for developing cutting-edge NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform. More specifically, our team is responsible for the algorithms of Intelligent Customer Service under TikTok's global e-commerce business.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTokInternships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 or August/September 2025 (Select May if Summer or August if FallPlease state your availability clearly in your resume (Start date, End date).Summer Start Dates:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23Fall Start Dates:Monday, August 11Monday, August 25Monday, September 8Monday, September 22Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Applying LLMs for a variety of multilingual and multimodal scenarios of e-commerce business; Establishing a generative-based AI chatbot that is capable of resolving post-sale issues and achieving pre-sale interactive consultations; Text generation, including product titles and descriptions, dialogue summary, auto-replying of emails and tickets, etc.; Machine translation, including optimizing translation quality in dozens of scenarios and language pairs in the e-commerce scenarios, as well as the research of related cutting-edge technologies.QualificationsMinimum Qualifications: Currently pursuing a Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline; Experience with software development in at least one of the following programming languages: C++, Python, Go, Java; Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.Preferred Qualifications: Experience in NLP and LLM technologies; Proficient in using at least one mainstream deep learning framework such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods; Aware of certain processing methods and optimization experience on domain adaptation, small sample construction, text mining, unsupervised/semi-supervised, and other similar issues; Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT, etc.), have practical experience in deep learning training and reasoning model tuning; Experience in large-scale text data processing or cleaning (Such as using Hadoop/Spark/Hive/Flink).TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $57.75- $57.75.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (E-commerce-Intelligent Customer Service) - 2025 Summer/Fall (MS)
+494,2025-04-02,Plantation,Florida,Chewy,http://careers.chewy.com,"At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. 
+
+We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
+
+We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
+
+At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
+
+Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
+
+We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
+
+We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.","Our OpportunityWe are seeking a talented and passionate Machine Learning Engineer II to join our growing team. In this role, you will play a crucial part in building and deploying machine learning solutions that empower our Chewy Customer Care teams. As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning lifecycle, from data preparation and model development to deployment and monitoring. You will have the opportunity to work on diverse projects and contribute directly to the success of the company.What You'll DoDesign and implement robust data pipelines for efficient data ingestion, processing, and feature engineering.Ensure data quality and consistency for model training and inference.Work with large datasets and apply data scaling techniques.Select and build appropriate machine learning models based on business requirements and data characteristics.Train and evaluate models using various techniques and metrics.Fine-tune models to achieve optimal performance and efficiency.Deploy machine learning models to production environments, ensuring scalability, reliability, and maintainability.Implement monitoring and alerting systems to track model performance and identify potential issues.Optimize models for inference speed and resource utilization.Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions.Optimally communicate technical concepts and findings to both technical and non-technical audiences.What You'll NeedBachelor's degree in Computer Science, Machine Learning, or a related field.3+ years of experience as a Machine Learning Engineer or in a similar role.Strong programming skills in Python or another relevant language.Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).Experience with SQL and relational databases.Nice To HaveFamiliarity with big data technologies (e.g., Spark, Iceberg, dbt).Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift).Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly).Knowledge of retail and e-commerce.Solid understanding of machine learning algorithms and best practices.Experience with cloud computing platforms (e.g., AWS, Azure, GCP).Excellent communication and presentation skills.Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.If you have a question regarding your application, please contact HR@chewy.com.To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.",Entry level,Machine Learning Engineer II
+495,2025-04-04,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The TV & Web Player Platform team is responsible for developing streaming video players that deliver industry-leading playback experiences within the Netflix app on consumer electronic devices and web browsers. Our players operate on millions of devices, including Smart TVs, streaming sticks, game consoles, set-top boxes, and browsers like Chrome, Firefox, and Edge. We aim to delight our members with innovative playback features and exceptional streaming quality.The TeamThe TV & Web Player Platform team is at the forefront of testing a diverse set of innovative activities related to product feature expansion. This includes creating tests for recent playback features such as Live Streaming, Seamless Ads playback, and Ident innovation. We conduct A/B tests to thoroughly evaluate features and ensure they perform optimally without regressions. We are deeply involved in continuous integration and release management testing of our video player, which is core to our operations. This critical function ensures the delivery of the best streaming experience to our members by maintaining high standards of quality and performance. Our team collaborates with various cross-functional teams across Netflix, including UI, Encoding, Streaming Algorithms, Security, and Open Connect, to support product development and experimentation through rigorous testing.Our team consists of engineers from diverse backgrounds, bringing expertise across multiple disciplines, including embedded systems, streaming media playback, content protection, client-server communication, networking protocols, continuous integration, test automation, experimentation, and software engineering. Our success is driven by self-motivated, collaborative, and curious engineers who prioritize the team's goals.The RoleWe are seeking a software engineer with a strong focus on test development and automation to join our team. Your primary responsibility will be to improve our video player by developing and automating tests to ensure high-quality streaming experiences on both TV and Web devices. In addition to test development, you will collaborate directly with browser vendors to test and validate browsers using the Netflix player and its features, ensuring a seamless user experience.What sets you apart?Passionate about writing and designing tests, recognizing their crucial role in software development.Enthusiastic about collaborating with external partners to troubleshoot and resolve quality issues effectively.Curious and self-motivated, with a willingness to learn, execute, and delve into problems to identify root causes.You seek alternate perspectives to improve your ideas.You can rethink existing designs and rebuild as needed.You use data and seek input from others to inform your decisions. You are selfless, highly collaborative, and willing to help colleagues when in need. What skills are essential to us?Have 3+ years of experience in test development and software development.Excellent communication skills for effective collaboration with cross-functional teams and external partners.Proficiency in JavaScript and Node.jsStrong analytical and problem-solving skills.Experience with A/B testing, developing experiments to test hypotheses, and analyzing data to drive improvements in streaming quality is nice to have.Solid understanding of Streaming media playback or Video players is nice to have.Our cultureRead about the Netflix culture which values freedom and responsibility, enabling us to do our best work.At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.The overall market range for roles in this area of Netflix is typically $100,000 - $720,000.This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Software Engineer 4 - TV & Web Player Platform
+496,2025-04-03,San Francisco,,Unity,https://unity.com/,"Unity (NYSE: U) is the world’s leading platform for creating and operating real-time 3D (RT3D) content. Creators, ranging from game developers to artists, architects, automotive designers, filmmakers, and others, use Unity to make their imaginations come to life. Unity is the foundation upon which the world’s most powerful digital content is created. Specifically, Unity’s platform provides a comprehensive set of software solutions to create, run and monetize interactive, real-time 2D and 3D content for mobile phones, tablets, PCs, consoles, and augmented and virtual reality devices. 
+In the fourth quarter of 2021, Unity had, on average, 3.9 billion monthly active end users who consumed content created or operated with its solutions. The applications developed by these creators were downloaded, on average, five billion times per month in 2021. For more information, please visit www.unity.com. 
+
+Download Unity: http://unity3d.com/get-unity
+We're hiring! Visit our careers site: https://careers.unity.com
+For support, please email: support@unity3d.com
+
+Check us out on our other social channels: 
+Twitter: https://twitter.com/unity
+Facebook: https://www.facebook.com/unity3d/
+Instagram: https://www.instagram.com/unitytechnologies/","The opportunityThe Data & ML Platform team at Unity manages a comprehensive range of data and machine learning systems and tools, covering every stage of the lifecycle—from data ingestion and storage to processing, feature generation, machine learning model training, deployment, and serving. Our work facilitates diverse applications such as simulations, gaming experiences, and improved game monetization. We empower other Unity teams to create exceptional tools and services for our users.We're seeking a talented Senior Data and ML Infrastructure Engineer to join our team. In this role, you will collaborate with engineers, product specialists, and data experts to research, prototype, and develop world-class applications, services, and pipelines, leveraging over 60 billion daily data events.What You'll Be DoingDesign and optimize large-scale data platforms and machine learning infrastructure systems for efficiency, reliability, and cost-effectiveness.Lead improvements in infrastructure tooling by researching, prototyping, and implementing solutions that enhance operational excellence and development agility.Implement next-generation ML Ops capabilities in our model training, deployment, and serving pipelines.Champion infrastructure optimization projects across the company, driving significant cost savings while maintaining or improving service performance.Engage in on-call rotations, utilizing your deep understanding of infrastructure to identify and resolve complex issues quickly, minimize impact, and prevent future occurrences through automation and system enhancement.What We're Looking ForExperience in infrastructure and back-end engineering, with a track record of building robust distributed systems.Daily hands-on experience with model training, deployment, experimentation, and serving tools for machine learning.Deep understanding of cloud infrastructure using GCP, AWS, or Azure and proficiency in either Go, Java, or Python.Experience with the latest data and machine learning technologies such as Google's Vertex AI, Ray, and SageMaker.Experience in building Kubernetes infrastructure stacks, experience from either the ML or Data domain and its associated technologies is advantageous.You might also haveAn 'in-it-together' mentality that appreciates engineering as a collective effort.Hands-on experience with tools such as Vertex AI, Protobuf, Kafka, Flink, BigQuery, Druid, Feast, Kubeflow, Ray, or KServe.Experience with Terraform, ArgoCD, GitHub Actions, and similar tools used for CI/CD.Additional InformationRelocation support is not available for this position.International relocation support is not available for this position.Work visa/immigration sponsorship is available for this position.Life at UnityUnity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit www.unity.com.Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.#SENNote: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.Gross pay salary$111,000—$211,300 USD",Mid-Senior level,"Senior Software Engineer, Data & ML Infrastructure"
+497,2025-03-28,San Francisco,California,Scale AI,https://scale.com,"At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 
+
+The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
+
+Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. ","The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.We are building a large hybrid human-machine system in service of ML pipelines for Federal Government customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.You will:Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers. Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines Work with massive datasets to develop both generic models as well as fine tune models for specific products Build the scalable ML platform to automate our ML service Be a representative for how to apply machine learning and related techniques throughout the engineering and product organizationBe able, and willing, to multi-task and learn new technologies quickly This role will require an active security clearance or the ability to obtain a security clearance.Ideally You’d Have:Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment Solid background in algorithms, data structures, and object-oriented programming Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch Nice to Haves:Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience with generative AI models Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$224,400—$293,250 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$201,960—$263,925 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.",Entry level,"Machine Learning Engineer, Public Sector"
+498,2025-03-25,Boise,Idaho,Micron Technology,http://www.micron.com,"Micron is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence (AI) and compute-intensive applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more about Micron Technology, Inc. (Nasdaq: MU), visit micron.com.","Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.Build and maintain data/solution pipelines. Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence. Design and optimize data structures in data management systems (Hadoop, Snowflake, and Cloud platforms) to enable AI/ML solutions. Build custom software components and analytics applications. Work with Data Scientists to implement strategies for cleaning and preparing data for analysis, develop data imputation algorithms, and optimize performance of big data and machine learning systems.Employer will accept a Bachelor's degree in Electrical Engineering, Computer Science, Nuclear Engineering, Software Engineering, or Business Analytics or related field and 1 year of experience in the job offered or in a Machine Learning Engineer-related occupation.Position Requires Data Engineering/processing, Business Intelligence and Advanced analytics. Relational databases and SQL. Databases (Oracle, MSSQL,Snowflake, or BigQuery). Building scalable ETL pipelines with big data processing and/or developing applications and data sources (Apache Ni-Fi, Airflow, or Kubeflow). Algorithms and Data Structures. Applying algorithms and core computer science concepts to real-world systems. Concurrent programming, client-server and distributed systems, and software testing and security. Java, Python, and Object-Oriented Programming. API styles, software architecture, and human-computer interaction. Various frameworks and processes, such as Agile. Integrated Development Environments, and revision control systems including GIT. Deep learning models using scikit-learn, pytorch or keras/tensorflow. Linux, UNIX or MacOS environment. Collecting application metrics (e.g. Splunk). Semiconductor manufacturing data. File Manipulation, console commands, and shell scripting. Experience developing a Machine Learning program in Python for classification or regression. Experience with one or more Machine Learning frameworks such as Scikitlearn, Pytorch or TensorFlow. Experience with Deep Learning models for computer vision, image processing, signal processing, LLMs, NLP or equivalent deep learning application.As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.To learn about your right to work click here.To learn more about Micron, please visit micron.com/careersFor US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.",Entry level,Machine Learning Engineer
+499,2025-04-05,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!Adobe Firefly’sGenerative AI Servicesteam is seekingSeniorMachine Learning Engineersfor our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers.Job ResponsibilitiesDesign and evelopmentof core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products. Design and buildML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaboratewith Adobe Research and other model developer teams with a focus on model inference strategies and productization of those modelBuild and optimizeGPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability. Foster a culture of innovation, technical excellence, and continuous improvement across the organization. What You’ll Need To SucceedMS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 5+ years of experience in machine learning, including production-scale deployments. 2+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization). Experience with GenAI frameworks and tools such asPyTorch, CUDA, Triton, TensorRT,Nvidia Dynamo, and Python. Good understanding of generative model architectures, includingdiffusion models, transformers, and GANs. Good communication and leadership skills, with a track record of driving alignment in matrixed organizations. Preferred QualificationsExperience withmodel serving, inference, orchestration, and GPU resource managementin large-scale environments. Hands-on expertise inKubernetes, distributed systems, and MLOps platforms. Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,"Machine Learning Engineer, Adobe Firefly Services"
+500,2025-04-09,Atlanta,GA,Optomi,http://www.optomi.com,"Established in 2012, Optomi is committed to providing superior IT Talent Services via contract, contract-to-hire, and team augmentation models. Our delivery teams are aligned by competencies focused on 7 key areas in technology: Business Optimization, Software Engineering, Cloud & Infrastructure, Cyber Security, Data Modernization, ServiceNow, and Emerging Technologies. Our skillset-focused approach allows our recruiting teams to become experts within their space and streamline the hiring process. We save you time and money by accelerating your hiring process as our delivery team truly understands your needs and only brings you the right talent for your team.
+
+Optomi is an official ServiceNow® partner.","Important Notes:Due to the nature of this opportunity, visa sponsorship or application through a 3rd party/employer will not be considered.Only candidates residing in, or willing to relocate to either Seattle, San Francisco, Glendale, or New York City will be considered, due to a hybrid-in office requirement.Machine Learning Engineer (Databricks, Snowflake, Python)Optomi, in partnership with a fortune 100 entertainment organization, is seeking a Machine Learning Engineer to join a highly collaborative Data Science Engineering team. This role involves working closely with data scientists, software engineers, and analytics teams to build and deploy scalable machine learning pipelines and model-driven solutions. The ideal candidate will have a strong background in data engineering, machine learning frameworks, and cloud-native technologies.What the right candidate will enjoy!The opportunity to design and deploy scalable ML systems in a cutting-edge cloud-native environment!Exposure to large-scale data and modern tools like Databricks, Snowflake, and Spark!A collaborative Agile culture that supports continuous improvement and experimentation!Experience of the right candidate:Bachelor’s Degree in Computer Science, Mathematics, or a related technical field required.5+ years of experience in a Machine Learning Engineering or Data Science/Engineering role.Hands-on experience with data engineering and MLOps practices.Proficiency in Python and SQL for data pipelines and analytical queries.Strong experience working with Spark, Snowflake, dbt, and AWS.Proven ability to build, train, and deploy ML models using frameworks like SparkML, scikit-learn, and PyTorch.Experience with CI/CD pipelines and DevOps practices (e.g., GitHub, Airflow).Familiarity with Databricks, PySpark, MLflow, and feature store development is a plus.Understanding of data governance, privacy, and compliance considerations.Responsibilities of the right candidate:Design and implement scalable batch and streaming pipelines for feature engineering.Integrate new data sources into existing systems while maintaining high data quality and governance.Collaborate with data scientists to build, validate, and optimize ML models.Deploy machine learning models into production environments and monitor their performance.Optimize existing pipelines to improve efficiency and reduce runtime.Follow engineering best practices around code quality, testing, and deployment.Partner with cross-functional teams to identify opportunities to improve or automate data workflows.Participate in Agile ceremonies including sprint planning, estimation, and retrospectives.",Mid-Senior level,Machine Learning Engineer
+501,2025-04-08,Mumbai,MH,LTIMindtree,https://ltimindtree.com,"LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 86,000+ talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
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+LTIMindtree is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities regardless of race, ethnicity, nationality, gender, gender identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability, or any other characteristic protected by applicable law. 
+
+Please note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge candidates any registration fees or other fees for appearing in interviews or securing employment/internships. Candidates are solely responsible for verifying the credentials of any agency or consultant claiming to work with LTIMindtree for recruitment purposes. Please note that anyone relying on representations made by fraudulent employment agencies/consultant does so at their own risk. LTIMindtree disclaims any liability for loss or damage suffered as a result of such actions. 
+
+For more info, please visit ltimindtree.com.","About Us:LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com.Job Title: Data ScientistLocation:Remote / Orlando, FLJob Description: · Experience applying AI/ML/DL methods and algorithms across various business functions.· Skilled in model optimization, evaluation, and selection techniques.· Strong Python coding skills.· Experience with machine learning platforms· Experience applying AI/ML/DL methods and algorithms across various business functions.· Skilled in model optimization, evaluation, and selection techniques.· Strong Python coding skills.· Proficient in machine learning libraries (e.g., scikit-learn, TensorFlow, Keras, XGBoost) and algorithms.· Advanced knowledge of statistics and tools for data analysis (e.g., numpy, pandas, Matplotlib, etc.).· Proficiency in SQL for data extraction, transformation, and analysis, including complex joins, CTEs, aggregations, and analytical functions.· Proven ability to communicate technical business requirements to non-technical end users.· Strong organizational skills and the ability to prioritize and meet multiple deadlines within a fast-paced environment.Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):Benefits and Perks:Comprehensive Medical Plan Covering Medical, Dental, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid Paternity and Maternity LeaveThe range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office:In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.",Mid-Senior level,Data Scientist
+502,2025-03-31,Mountain View,California,Applied Intuition,https://www.appliedintuition.com,"Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines.
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+Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market.
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+18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo.","About Applied IntuitionApplied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: this is not applicable for EpiSci roles).About The RoleWe are looking for a machine learning engineer with strong industry experience who is looking to implement and productionize cutting-edge research across our core product pillars. You will help position Applied Intuition as the most advanced vehicle software supplier to the largest OEMs in the world. You will work with a team of world-class software and machine learning engineers who are developing capabilities that will revolutionize the way that people interact with vehicles. At Applied Intuition, we encourage engineers to take ownership of technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture.At Applied Intuition, you will:Leverage the latest advancements in machine learning to develop new systems for autonomy development workflows.Work across our entire stack to develop new products, features, and tools for our end users.Work closely with customers to identify additional areas across the product suite where AI/ML techniques can provide significant value.We're looking for someone who has:A Bachelor's degree in computer science, physics, robotics, or related fields from a top institution2+ years of experience working with ML techniques including but not limited to NLP, computer vision, reconstruction algorithms, image generation, or multi-modal models. Nice to have:Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA. Experience building software for technical end users.A Master’s degree or PhD in computer science, physics, robotics, or related fieldsCompensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $222,000 USD annually.Candidates more specifically interested in perception roles can also apply here.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.",Entry level,Software Engineer - Machine Learning
+503,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for candidates who brave difficulties, share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.SkillsInternships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 . Successful candidates must be able to commit to one of the following summer internship start dates below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23Please state your availability clearly in your resume (Start date, End date).Key Responsibilities Participate in the development of a large-scale Ads system Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc Participate in the development and iteration of Ads algorithms by using Machine Learning. Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering Research and develop Ads pacing algorithms, ads traffic control, etc Partner with product managers and product strategy & operation team to define product strategy and featuresQualificationsMinimum Qualifications: Pursuing a BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environmentPreferred Qualifications Experience in and a good understanding of one of the following domains: Search, Ads, Recommendation, Monetization Products, Shopping Products.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $45- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (Search Ads) - 2025 Summer (BS/MS)
+504,2025-04-04,South San Francisco,CA,Calico Life Sciences,http://www.calicolabs.com/,"Calico is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. We will use that knowledge to devise interventions that enable people to lead longer and healthier lives. 
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+Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline together create an inspiring and exciting place to catalyze and enable medical breakthroughs.
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+Calico is currently seeking exceptional candidates who share our passion for understanding the science of aging and developing therapeutics to address age-related diseases.
+
+Explore with us! https://www.calicolabs.com/careers
+","Who We AreCalico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.Position DescriptionCalico is seeking a machine learning engineer to develop innovative machine learning algorithms to model and design proteins. This person will work with a team of dedicated experimental biologists to design experiments to test, and iteratively refine machine learning predictions.The ideal candidate should be familiar with state-of-the-art machine learning techniques, including language/sequence modeling, representation learning, generative models, and self-supervised learning techniques. Candidates should have experience implementing, extending, and debugging state of the art machine learning models, and have expertise in designing and building robust data infrastructure and tools. Candidates should be independent, self-motivated and be expected to explore relevant ML literature and apply novel approaches to various protein design problems at Calico. Candidates must demonstrate a strong ability to communicate ideas and results through publications and presentations and be able to work cross-functionally to execute on complex projects.Position RequirementsPh.D. in Computer Science, Computational Biology, or related technical field; OR M.S. in Computer Science, Computational Biology, or related technical field, plus 2+ years industry experienceExperience in applying deep learning to model biological sequences and structuresExpert in TensorFlow, PyTorch, and/or JAXStrong software engineering skills and substantial expertise in PythonTrack record of outstanding communication and collaboration in a cross-functional environmentStrong analytical and quantitative skillsMust be willing to work onsite at least four days a weekNice To HavesDomain expertise in computational biology, biochemistry or structural biologyFamiliarity with state-of-the-art structure modeling tools such as AlphaFoldPublic recognition in the field, e.g. via scientific publications or success in machine learning competitionsPrior experience working with biologistsPrior experience working as a ML Engineer/ScientistThe estimated base salary range for this role is $170,000 - $181,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.",Mid-Senior level,Machine Learning Research Scientist / Machine Learning Engineer
+505,2025-03-21,Boston,Massachusetts,Acceler8 Talent,http://www.acceler8talent.com/,"Acceler8 connects the top AI companies with the talent to scale fast, reach milestones, and secure funding so you can launch your AI products with confidence. We're at the forefront of connecting exceptional talent with ground breaking opportunities. We operate as the driving force behind visionary AI startups, actively shaping the future of technology across the Bay Area, Boston, New York, and beyond. 
+ 
+Our expertise spans a diverse array of tech specialties, including ML Research & Engineering, Software for ML Platforms, Semiconductor & Chip Design, Silicon Photonics, High Performance Computing, and Machine Learning Compilers. We serve as the catalyst for talent, ensuring that our clients have access to the most qualified professionals to propel their innovations forward. We'll build the team that turns your vision into reality.
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+Are you ready to Acceler8?🚀Contact us today! https://www.acceler8talent.com/contact-us/
+
+_____________________________________________
+
+Important Notice: Scam Alert Targeting Job Seekers
+ 
+We want to inform our network about a scam that is currently targeting job seekers through platforms like WhatsApp and LinkedIn. Please be aware that these messages are not from us or any of our employees. Rest assured, we are actively monitoring this situation and are taking it very seriously.
+ 
+If you have any doubts or concerns, please contact us directly through our official website https://www.acceler8talent.com/ or email us at info@acceler8talent.com. Please do not submit any personal information via links that are not from our official website.","Machine Learning Engineer (Computer Vision) - Denver, COA Denver based start up working with cutting-edge AI and computer vision technology are on the lookout for a Machine Learning Engineer to join their team.What you'll be doing:Design and implement robust computer vision solutionsDevelop and refine machine learning models for classification and identificationWork on complex technical challenges involving real-time video processing and analysisCollaborate with a dynamic team to enhance and scale our AI-powered systemsWhat we'd love to see:Strong academic backgroundExperience developing and deploying production-ready computer vision systemsProficiency in deep learning frameworks and image processing librariesTrack record of solving complex technical problems in computer visionAbility to optimize ML models for real-world performance and accuracyStrong coding skills and experience with modern software development practicesWhat's in it for you:Competitive salary range: $130,000-$185,000 USD (based on experience)Generous equity package - be part of our growth storyFlexible hybrid work arrangementOpportunity to shape the future of transportation infrastructureWork with cutting-edge AI and computer vision technologyBe part of an innovative startup cultureOther Important InfoLocation: Denver, ColoradoWork Model: Hybrid (3 days in office per week)Position Type: Full-timePlease apply now for immediate consideration.",Mid-Senior level,Machine Learning Engineer
+506,2025-04-02,Boston,Massachusetts,Motional,http://www.motional.com,"Motional is making driverless vehicles a safe, reliable, and accessible reality. 
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+We've been revolutionizing driverless technology for decades. Our DNA - a joint venture between automotive technology expert Aptiv and vehicle manufacturing leader Hyundai Motor Group - uniquely positions us to fundamentally change how the world moves.","On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.What You’ll Be Doing:You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:Designing and executing high value experiments based on collaborative input from other machine learning engineersPrototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilitiesTimely release of major model updates, including analysis of both off-line and on-road evaluation dataStaying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literatureMaintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluationWhat We’re Looking For:In-depth understanding of common Machine Learning and Deep Learning algorithmsExperience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object trackingStrong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcomeAdvanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methodsExperience with PyTorch or other python-based deep learning frameworksExperience working with large data sets and deriving insights from dataExperience mentoring and collaborating with othersEducationMasters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experienceBonus PointsPublications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)PhD in machine learning, computer vision, or robotics visionExperience working on autonomous vehicles or related fieldsExperience in deploying models into real-world environmentsStrong programming skills in C++ and/or CUDA programmingThis opportunity can support remote work within the United States, with occasional travel.Working ConditionsWhile performing the duties of this job, the employee is frequently required to convey and detect communicationThe employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipmentThe employee may occasionally move up to 50 poundsThe salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.Salary Range: $146,000 USD - $225,000 USDMotional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.Our journey is always people first.We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.Higher purpose, greater impact.We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.Scale up, not starting up.Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.",Not Applicable,Senior Machine Learning Engineer - Behaviors
+507,2024-10-31,San Francisco,,Magic,https://magic.dev/,"Magic is working on frontier-scale code models to build a coworker, not just a copilot. Come join us: http://magic.dev","Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.About the role:As a Software Engineer working on our pretraining data, you write efficient and robust pipelines for giant, multimodal datasets. You will develop and optimize web scraping techniques to harvest and maintain data at internet-scale.What you might work on:Design & implement multimodal (video, audio, text etc) web crawlers for scraping and indexing petabytes of dataCreate large scale data processing pipelines using tools like Ray, Apache Spark, Apache Flink, Google BigQuery etc. Implement and scale deduplication techniques across modalities and apply heuristic and model-based techniques for parsing and filtering crawled dataIdentify new data sources for inclusion in pre/post-training datasetsWhat we’re looking for:Strong proficiency in distributed computing and parallel processing techniquesObsession with details, reliability, and good testing to ensure data quality and integrityExperience with designing and maintaining high-performance, scalable data architecturesAbility to design, develop and operate an LLM data pipeline from web scraping to data loadingMagic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience.Our culture:Integrity. Words and actions should be alignedHands-on. At Magic, everyone is building Teamwork. We move as one team, not N individualsFocus. Safely deploy AGI. Everything else is noiseQuality. Magic should feel like magicCompensation, benefits and perks (US):Annual salary range: $100K - $550KEquity is a significant part of total compensation, in addition to salary401(k) plan with 6% salary matchingGenerous health, dental and vision insurance for you and your dependentsUnlimited paid time offVisa sponsorship and relocation stipend to bring you to SF, if possibleA small, fast-paced, highly focused team",Entry level,Software Engineer - Pretraining Data
+508,2025-03-29,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
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+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Machine Learning Engineer to join our team. You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment and catalog system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You will report to the engineering manager on our New Verticals ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building.Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Mid-Senior level,Machine Learning Engineer - New Verticals
+509,2025-02-26,Boston,Massachusetts,Acceler8 Talent,http://www.acceler8talent.com/,"Acceler8 connects the top AI companies with the talent to scale fast, reach milestones, and secure funding so you can launch your AI products with confidence. We're at the forefront of connecting exceptional talent with ground breaking opportunities. We operate as the driving force behind visionary AI startups, actively shaping the future of technology across the Bay Area, Boston, New York, and beyond. 
+ 
+Our expertise spans a diverse array of tech specialties, including ML Research & Engineering, Software for ML Platforms, Semiconductor & Chip Design, Silicon Photonics, High Performance Computing, and Machine Learning Compilers. We serve as the catalyst for talent, ensuring that our clients have access to the most qualified professionals to propel their innovations forward. We'll build the team that turns your vision into reality.
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+Are you ready to Acceler8?🚀Contact us today! https://www.acceler8talent.com/contact-us/
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+_____________________________________________
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+Important Notice: Scam Alert Targeting Job Seekers
+ 
+We want to inform our network about a scam that is currently targeting job seekers through platforms like WhatsApp and LinkedIn. Please be aware that these messages are not from us or any of our employees. Rest assured, we are actively monitoring this situation and are taking it very seriously.
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+If you have any doubts or concerns, please contact us directly through our official website https://www.acceler8talent.com/ or email us at info@acceler8talent.com. Please do not submit any personal information via links that are not from our official website.","Machine Learning EngineerJoin our innovative team as a Machine Learning Engineer, where we are at the forefront of revolutionizing hardware engineering with advanced models designed to enhance the design process significantly. Our aim is to autonomously generate cutting-edge hardware designs, pushing the boundaries of efficiency and affordability in the industry.About UsWe are dedicated to transforming hardware design processes, founded by leaders with backgrounds from top-tier institutions and supported by renowned investors. Our team is driven by a mission to streamline hardware design, leveraging expertise from industries intersecting AI and semiconductors.About the RoleAs a Machine Learning Engineer, you will play a crucial role in developing and evaluating extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms. You will structure data for training complex models, optimize both open-source and closed-source models under various constraints, and design innovative search and retrieval algorithms. Your responsibilities will include implementing and evaluating models while addressing challenging engineering constraints like latency and costly model inference.What We Can Offer YouOpportunity to pioneer advancements in hardware engineering through AI integrationCollaborative environment with a focus on innovation and cutting-edge technologyCompetitive salary and comprehensive benefits packageFlexible working hours and potential for remote workProfessional growth opportunities with continuous learning supportChance to contribute to a rapidly expanding field bridging AI and semiconductor industriesKey ResponsibilitiesDevelop and evaluate extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms.Structure data appropriately for training complex models.Build and optimize both open-source and closed-source models, considering various constraints.Design and execute innovative search and retrieval algorithms.Create and implement model evaluations.Address challenging engineering constraints such as latency and costly model inference.Relevant Keywords in ItalicsThe ideal candidate should have a strong understanding of NLP and LLMs, along with strong proficiency in PyTorch. They should demonstrate a proven track record of exceptional data engineering and AI capabilities, including publications in top AI conferences and competitions and experience at leading AI companies and research labs. Additionally, experience in complex ML domains and a passion for solving challenging problems and innovating are crucial.RequirementsStrong understanding of NLP and LLMs.Strong proficiency in PyTorch.Proven track record of exceptional data engineering and AI capabilities.Publications in top AI conferences and competitions.Experience at leading AI companies and research labs.Implemented research papers into production code.Experience in complex ML domains.Passion for solving challenging problems and a hunger to innovate.BonusExperience with code generation models.Background in reinforcement learning.Passion for 0 to 1 challenges and demonstrated drive to excel in the field.This role offers an exciting opportunity to contribute to groundbreaking advancements in hardware engineering while working in a dynamic and collaborative environment. If you are passionate about machine learning and eager to make an impact, we encourage you to apply and join us in transforming the future of hardware design.",Mid-Senior level,Machine Learning Engineer
+510,2024-12-03,Menlo Park,California,Pathway,https://www.pathway.com,"Pathway is building live AI systems that think and learn in real-time as humans do. Underpinned by the fastest data processing engine on the market and an AI framework, it lays the foundations for an organization’s full and evolving AI transformation journey without the need for re-platforming. Pathway is trusted by the likes of NATO, La Poste and Formula 1 racing teams. 
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+Headed by co-founder & CEO, Zuzanna Stamirowska, the team’s leading AI experts include co-founder & CTO Jan Chorowski, co-author of the Nobel Prize winner, Geoff Hinton. Pathway is backed by Business Angel Lukasz Kaiser, who co-authored Transformers (the “T” in ChatGPT) and is the key researcher behind GPT o1 from OpenAI.","About PathwayPathway is an enabler for Live AI, allowing organizations to run contextualized ML models connected to ever-changing enterprise data. In addition to being an infrastructure provider delivering an AI framework, we are working to advance the state-of-the-art.Pathway is VC-funded, with some amazing BAs (such as Lukasz Kaiser, co-inventer of Transformers). Pathway's CTO has co-authored papers with Goeff Hinton and Yoshua Bengio. We have just raised a $10M+ seed, with exciting developments ahead. The management team includes growth leaders who have scaled companies with multiple exits, and who have built online communities reaching millions of users.Out client portfolio is focused around mobility, IoT data, logs and transactions, and also includes larger actors such as NATO and national postal services. We have a vibrant community centered around our developer frameworks, with almost 10,000 stars on GitHub: https://github.com/pathwaycom/Our European offices are in Paris, France and Wroclaw, Poland. Our HQ is in Menlo Park, CA.The OpportunityWe are currently searching for 2 ML/AI Engineers with a solid software engineering backbone who are able to prototype, evaluate, improve, and productionize end-to-end Machine Learning projects with enterprise data.For representative examples of the type of projects you would be expected to create or deliver, see our AI pipelines templates.If you would consider it would be fun to create a hybrid Vector/Graph index that beats the state of the art on a RAG benchmark, to deliver a working AI pipeline to a client in a critical industry, or to pre-process datasets in a way which would boost LLM accuracy in inference & training - this is the job for you!You Willhelp design experimental end-to-end ML/AI pipelinescontribute to addressing new use cases, beyond state of the artimprove/adapt AI pipelines for production, working directly with client data (often live data streams)invent ways to pre-process data sources and perform tweaks (reranking, model paramater configuration...) for optimal performance of AI pipelinesdesign benchmark tasks and perform experimentsbuild unit tests and implement model monitoring contribute high-quality production code to our developer frameworks, used by thousands of developershelp to pre-process data sets for LLM training. The results of your work will play a crucial role in the success of both our developer offering and client delivery. RequirementsCover letterIt's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that.You AreA graduate of a 4+-year university degree in Computer Science, where you have received A-grades in both foundational courses (Algorithms, Computational Complexity, Graph Theory,...) and Machine Learning coursesPassionate about delivering high-quality code and solutions that workGood with data & engineering innovation in practice - you know how to put things together so that they don't blow upExperienced at hands-on Machine Learning / Data Science work in the Python stack (notebooks, etc.)Experienced with model monitoring, git, build systems, and CI/CD Respectful of others Curious of new technology - an avid reader of HN, arXiv feeds, AI digests, ..  Fluent in English Bonus PointsSuccessful track-record in algorithms (ICPC / IOI), data science contests (Kaggle), or a HuggingFace leaderboardShowing a code portfolioPhD in Computer ScienceAuthoring a paper at major Machine Learning conferenceYou like playing/tinkering with new tools in the LLM stackYou are already a part of the Pathway community, or have been recognized for your work in one of our bootcampsWhy You Should ApplyJoin an intellectually stimulating work environment Be a technology innovator that makes a difference: your code gets delivered to a community of thousands of developers, and to clients processing billions of records of dataBe part of one of an early-stage AI startup that believes in impactful research and foundational changesBenefits Type of contract: Full-time, permanent Preferable joining date: January 2025. The positions are open until filled - please apply immediately Compensation: competitive base salary (80th to 99th percentile) based on profile and location + Employee Stock Option Plan + possible bonuses if working on client projects. The stated lower band of EUR 72k/ USD 75k for the salary base concerns senior candidates; mid-senior or mid candidates may be considered with adapted salary bands.  Location: Remote work. Possibility to work or meet with other team members in one of our offices: Paris, France, or Wroclaw, Poland. Possibility to visit our Menlo Park, CA headquarters for several months. As a general rule, permanent residence will be required in the EU, UK, US, or Canada. (Note for candidates based in India: We are proud to be part of the current Inter-IIT as well as a partner of ICPC India. Top IIT/IIIT graduates are more than welcome to apply regardless of current location.)If you meet our broad requirements but are missing some experience, don't hesitate to reach out to us.",Mid-Senior level,R&D AI Software Engineer / End-to-End Machine Learning Engineer / RAG and LLM
+511,2025-03-18,,,Voltai,www.voltai.com,AI models for electronics,"About VoltaiVoltai’s mission is to re-build the physical world through developing super-intelligence to accelerate the pace of hardware innovation. Our focus is to build frontier models that could understand one of the world’s most complex technologies—semiconductor and electronics.About the RoleWe’re looking for a Software Engineer - AI Training Data who thrives in tackling complex challenges and is passionate about building innovative systems for data management. As a Software Engineer at Voltai, your primary responsibility will be to build and optimize the world’s largest semiconductor dataset, leveraging your expertise in software engineering and scalable infrastructure.You will play a critical role in preparing data for our Machine Learning team and developing systems that manage vast amounts of information across various modalities such as text, images, circuits, and more.Key Responsibilities:Build and manage the world’s largest semiconductor dataset.Develop software solutions to efficiently scrape and handle data at an internet scale.Extract and clean information from diverse modalities, including text, images, circuits, simulations, and signals.Prepare and preprocess data for the Machine Learning team.Build systems to handle the transfer of customer data and feedback.Parse documents across various formats and structures.Develop software pipelines for data labelers and manage workloads across large cloud compute clusters.Implement and maintain systems for pre-processing datasets for AI training.Required Skillsets:Proven experience in building scalable software solutions for data pipelines.Expertise in PDF parsing and data extraction.Strong software engineering skills with a passion for improving data and model performance.Experience working with modalities beyond text and demonstrating exceptional work in those areas.Ability to build custom data processing libraries from scratch.Keeping up with state-of-the-art techniques for preparing AI training data.Proficiency in organizing and meticulously managing data across multiple clouds, modalities, and sources.Bonus Points:Background in Electrical Engineering.Experience in connecting machine learning model behavior to data distribution and data quality.Experience in fine-tuning large language models.Experience at a hyper-growth startup.Experience building software systems for training foundation models.Compensation PhilosophyAt Voltai, we believe that exceptional work deserves exceptional rewards. Our compensation structure is designed to reflect the value each team member brings to our pioneering efforts in the semiconductor and AI industries. For this role, we offer a highly competitive market-rate salary, tailored to the candidate's experience, expertise, and potential impact. Our approach ensures that compensation aligns with individual contributions and the long-term success of our mission.Our BenefitsAt Voltai, we believe in taking care of our team so they can focus on pushing the boundaries of innovation. Our benefits package is designed to support your well-being and fuel your professional growth.Unlimited PTO: We trust you to manage your time and know when you need a break. Recharge when you need it, no questions asked.Comprehensive Health Coverage: Your health matters. We offer top-tier medical and dental insurance to keep you and your loved ones covered.Commitment to Your Growth: At Voltai, we’re dedicated to your continuous learning and development. Whether it’s through challenging projects or opportunities for professional advancement, we invest in your journey to becoming a leader in your field.Visa Sponsorship: We support international talent and offer visa sponsorship to help you join our team, no matter where you are in the world.",Mid-Senior level,Software Engineer - AI Training Data
+512,2024-06-21,San Francisco,CA,Dashworks,https://www.dashworks.ai,Dashworks AI unlocks your company’s internal knowledge. Break down information silos and get accurate answers from all your work applications in seconds.,"About DashworksDashworks is an intelligent assistant designed to integrate with your workflow seamlessly. It connects with your work apps to instantly answer work-related questions, generate content, debug code, summarize emails and projects, find documents, and more. It's like having a copilot for work that's just one click away.We’re on a path to redesigning the future of knowledge sharing at work. We have a unique opportunity to build a category-defining product (and company!) that millions use daily.We have reached a pivotal stage in our journey:After launching our knowledge assistant for work in July, we're now growing our customer base and product rapidly. We've successfully secured deals with notable companies, including Swiggy and Podium. We also released some case studies of customers like Podium and HeyGen automating up 80%+ of their Slack questions using Autopilot. We've raised over $9.5m from top investors in Silicon Valley, such as Y Combinator, and founders/operators from companies like Dropbox, Retool, and Twitch. We have a small but exceptional team with high talent density from Stanford AI Lab, Meta AI, and Glean. Joining right now would mean you ride the wave of explosive top-of-the-funnel growth yet get meaningful equity in a pre-series A startup.Our team's mission is to make humanity omniscient with an AI that can answer any work-related question. In this role, you’ll explore and push the boundaries of what’s possible with ML and how it can improve our daily work lives. As an early engineer to join our team, you'll have the opportunity to materially impact and scale the company's product, team, and culture. You'll get to drive key product initiatives end to end and work alongside exceptionally strong co-workers who learn quickly and ship quality work.ResponsibilitiesDesign, develop, and deploy improvements to our core Dashworks assistant. Examples of projects we're tackling include query understanding, intent classification, retrieval, ranking, fine-tuning LLaMa with QLoRA, and prompt engineering. Write clean, efficient, scalable code, adhering to best practices and industry standards. Perform thorough code reviews and provide constructive feedback to peers. Create and maintain comprehensive documentation for AI-driven features, systems, and processes. Continuously research and stay up-to-date with the latest trends, techniques, and best practices in AI, full-stack development, and software engineering. Contribute to improving product development, proposing and implementing new ideas and technologies. Mentor and guide junior developers, helping them grow professionally and technically. RequirementsBachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred. 5+ years of full-stack software development experience, strongly focusing on AI-driven products and applications. Experience working on high-impact, customer-facing products or applications. Proficiency in modern programming languages and frameworks like Python or similar. Experience with natural language processing (NLP) and computer vision techniques. Demonstrated expertise in AI and machine learning concepts, techniques, and tools. Experience with RESTful API design and development. Strong understanding of databases and data modeling, including experience with SQL and NoSQL databases. Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud. A proactive and results-oriented mindset with a strong sense of ownership and accountability. What You’ll Love About UsWe're working hard to create an environment where people feel empowered to do their best work, make a significant impact, and enjoy what they do. As an early employee, you'll have a massive say in defining the engineering organization, our vision, and our culture. You'll also have uncapped opportunities for growth, learning, and exposure to different business areas.Here are Dashworks' essential benefits:A competitive salary - regularly reviewed to make sure you're always getting what you deserve. Meaningful pre-Series A share options - you'll own a part of Dashworks and share in our successHome office setup + hardware/software coverage: get a laptop and whatever hardware, software, or services you need and are reasonable to do your jobInterview Process30-minute chat for us to learn about your ideal role and past technical achievements and for you to learn about our vision, current stage, and next milestonesTwo 1-hour long technical interviews involving system design, coding, and debugging30-minute interview to see if we have a mutual cultural fitChatting with two of your references: your previous coworkers/managers. We offer you to chat with our references as well: investors, advisors, customersOffer: 3 alternatives with a range of equity and base compensation options. We’ll also answer all your questions about business, finances, cap table, engineering, and anything else you need to make this life-changing decision (for both you and us!)We move fast through the entire process and aim to complete all the above steps within 3-5 days. We will make an offer to only exceptional candidates whom we have strong conviction in their technical skills and fit for the role.",Mid-Senior level,Software Engineer - Machine Learning
+513,2025-04-03,New York City,New York,Celonis,http://www.celonis.com,"Celonis makes processes work for people, companies, and the planet.
+
+The Celonis Process Intelligence Platform takes the data from the systems you already use, and presents you with a living digital twin of your end-to-end processes. It’s system-agnostic, without bias, and provides everyone with a common language for understanding and improving processes. 
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+Because when processes work, everything works. 
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+Since 2011, Celonis has helped 1,000+ of the world’s largest companies to realize value across the top, bottom, and green line.
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+Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Find out more at www.celonis.com.","We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us.The TeamCelonis AI Group (CeloAI) is a newly formed organization within Celonis that is dedicated to developing state-of-the-art AI/ML (and broadly intelligent) technologies for Celonis products (e.g., the Execution Management System / EMS) and empower enterprises and institutions to make intelligent business decisions and achieve operational excellence. Our dual mission focuses on both the immediate term goals of designing and implementing advanced AI/ML product features and solutions for our customers and the long term goals of establishing competitive advantages of Celonis for execution management.We are a global organization with presence in both Germany and the US. CeloAI US has its main presence in New York, NY but also remote presences across the US.The RoleAs a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches. You may interact closely with solution engineers, customer value architects, and execution management consultants within the Go-to-Market organization and product managers and software engineers within the product and engineering organization to build scalable and high quality AI/ML features and solutions for our customers.You may also be responsible for designing and implementing new foundational technical components that will power the next generation of EMS and elevate the impact Celonis has on our customers. These components may span the areas of computer vision, natural language processing, data mining, recommendation, knowledge base, business intelligence, and other AI technologies.The work you’ll doDeeply understand the business needs of Celonis customers, formulate the business needs into concrete technical problems, often AI relatedDetermine which AI/ML approach, if any, is suited for the problemDesign and develop scalable and high quality AI/ML models or otherwise intelligent approachesDesign and implement scalable and robust data collection mechanismsDesign and implement principled evaluation mechanismsDesign and build robust and low latency infrastructure to serve the AI/ML models and meet the demands of Celonis customersDesign and develop intelligent techniques to understand, represent, and integrate enterprise operational data (e.g., processes)Design and build APIs and infrastructure to serve such data at scale and with low latencyDesign and implement intelligent ways to ensure freshness and accuracy of such data across thousands of enterprise customers.The Qualifications You NeedBachelor’s degree or equivalent practical experience (in Computer Science or related fields), Master’s degree and PhD degree a plusStrong communication and collaboration skillsIdentify with the Celonis value of customer first, passionate about solving real world customer problems with a focus on finding the right solution regardless of the nature of the solutionPassionate about developing scalable and efficient AI/ML solutionsPassionate about building high quality AI/ML solutions with clear and repeatable evaluation mechanismsThe base salary range below is for the role in the specified location, based on a Full Time Schedule.Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.The base salary range below is for the role in New York, based on a Full Time Schedule.$146,000—$178,000 USDWhat Celonis Can Offer You:The unique opportunity to work with industry-leading process mining technologyInvestment in your personal growth and skill development (clear career paths, internal mobility opportunities, L&D platform, mentorships, and more)Great compensation and benefits packages (equity (restricted stock units), life insurance, time off, generous leave for new parents from day one, and more). For intern and working student benefits, click here.Physical and mental well-being support (subsidized gym membership, access to counseling, virtual events on well-being topics, and more)A global and growing team of Celonauts from diverse backgrounds to learn from and work withAn open-minded culture with innovative, autonomous teamsBusiness Resource Groups to help you feel connected, valued and seen (Black@Celonis, Women@Celonis, Parents@Celonis, Pride@Celonis, Resilience@Celonis, and more)A clear set of company values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our FutureAbout Us:Celonis helps some of the world’s largest and most esteemed brands make processes work for people, companies and the planet. With over 5,000 enterprise customer deployments across nearly every industry, the Celonis Process Intelligence Platform uses process mining and AI to give you a living digital twin of your business operation. It’s system-agnostic and without bias, and empowers companies to reduce waste, create value and benefit people across the top, bottom, and green lines. Since 2011, the Celonis platform has enabled its customers to identify more than $18 billion in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.Get familiar with the Celonis Process Intelligence Platform by watching this video.Data Privacy, Equal Opportunity, and Accessibility InformationCelonis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment and equal opportunity in all aspects of employment. We will not tolerate any unlawful discrimination or harassment of any kind. We make all employment decisions without regard to race/ethnicity, color, sex, pregnancy, age, sexual orientation, gender identity or expression, transgender status, national origin, citizenship status, religion, physical or mental disability, veteran status, or any other factor protected by applicable anti-discrimination laws. As a US federal contractor, we are committed to the principles of affirmative action in accordance with applicable laws and regulations. Different makes us better.Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’  Statements on Data Privacy, Equal Opportunity and Accessibility.Please be aware of common job offer scams, impersonators and frauds. Learn more here.By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.",Not Applicable,Software Engineer - Machine Learning
+514,2025-03-22,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safetyQualificationsMinimum Qualifications: Final year or recent graduates with a background in Computer Science, related technical field or equivalent industry experience Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Experience in Deep Learning Tools such as tensorflow/pytorch Experience with at least one programming language like C++/Python or equivalent Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employmentTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $106590 - $139650 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (eCommerce Recommendation) - 2025 Start (BS/MA)
+515,2025-03-05,San Diego,California,Seasats,https://www.seasats.com/,"Seasats builds and operates high-endurance, user-friendly autonomous surface vehicles (ASVs) that collect data for defense, research, and commercial customers. Seasats vehicles carry sensors into places that are either too dangerous or too expensive to reach with crewed vessels, drastically reducing operational risks and costs.","About SeasatsWe are a nimble, highly technical business that provides defense, scientific, and commercial customers with maritime robotics solutions. Our primary products are autonomous surface vehicles (ASVs) built to carry sensors at sea for months at a time.The company is located in sunny San Diego and includes talented engineers, builders, tinkerers, and business architects. Internally, our work culture is hard working but fun. Externally, we’ve built a reputation for being professional, knowledgeable, and dedicated to getting the job done. For more info, check out seasats.com.Role: Machine Learning Perception EngineerLocation: San Diego, CA (in-office)Salary: $130,000-$150,000 / yr + stock options, 401k matching, and other benefits.Role OverviewSeasats’ vehicles operate in highly remote and often communications-limited environments. To complete persistent missions at scale, the vehicles must be able to operate autonomously, so Seasats has built a reliable and increasingly intelligent autonomy stack incorporating onboard sensors and processing.In this role, you will help take that existing autonomy stack to the next level by spearheading the development and training of advanced perception models. You’ll leverage diverse sensor data—cameras, LiDAR, radar, acoustics —to create robust algorithms that empower our vessels to navigate safely and efficiently in dynamic environments.About YouYou’re deeply curious about how people and machines process data to perceive the world.You have a minimum of 3 years working on perception problems.You have a strong background in computer vision and knowledge of current ML models.You’re comfortable hammering out code in Python, and are well-versed in PyTorch and OpenCV.You’ve worked with foundation models and have trained smaller custom models from trainer models.You’re comfortable deploying algorithms and models to compute-limited edge devices.You’re comfortable working with real-time systems and sensors (cameras, LiDAR, radar, etc.).You have experience working with probabilistic algorithms for obstacle and target tracking.You’re competent at writing simple change detection algorithms for a variety of data types.You’re ok with getting multiple projects to 80% rather than getting one project to “perfect”. Conversely, you take great joy in seeing projects approach perfection over time.You have strong technical communication skills.You’re able to scope projects and features independently and efficiently.Bonus Points If You Have Experience Working WithMaritime data.Radar data.Anomaly detectors.Acoustic spectrogram data.Path planning and control algorithms.Role DetailsYou’ll be joining a growing software team based in San Diego and will be a full-time vehicle perception developer. This team will likely continue to grow, but initially you’ll be the only full-time dedicated perception engineer. As such, you will need to be able to work independently on experiments and collaboratively with the rest of the vehicle software team to incorporate your work into the larger stack. This is an excellent opportunity to do high impact work, see your code go into live field robotics applications, and join a fun and hard-working team on the cutting edge of ocean autonomy.Some Specific Tasks Might IncludeScoping and running ML experiments with clearly measurable end states that would positively impact vehicle performance if successful.Analyzing and organizing datasets from our fleet to drive data-driven development.Communicating scope and goals with the software team to ensure that experiments can fit smoothly and efficiently into the vehicle stack.Leveraging and packaging open-source tools to comply with licensing.Life At SeasatsAlong with your salary, you’ll receive perks including:Stock optionsCompetitive insurance (including a 99% employer-covered Gold HMO plan or other options)401k matching up to 4% of salaryFour free lunches per weekAn employee activity fundA pet-friendly officeUnlimited/Flex PTOWe’ll help you ramp up and will regularly take time to discuss what’s working and what’s not. We’re also big on personal freedoms: if you’re on top of your responsibilities and want the afternoon off to surf or spend time with friends and family, go for it! We have flexible hours, accommodating PTO, and a personable, high-achieving work culture. We want someone who’s excited to work hard and have fun in this environment.Our values are listed below; we’re happy to explain them more during the interview process.Get Stuff DoneBe KindFight EntropyAttack with Overwhelming ForceAsk More QuestionsLines, Not DotsHiring NotesIf you decide to apply, you’ll be asked to provide a resume and answer a few screening questions. If we decide to move forward with your application, you can expect no more than 2-3 more rounds of virtual interviews before a final in-person interview. If you have to travel to San Diego, we’ll reimburse pre-approved travel costs.Please note that we are currently unable to sponsor employment visas, so candidates must be independently authorized to work in the United States.We appreciate diverse perspectives and life experiences, so we encourage women, minorities, and people of all backgrounds to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We look forward to reviewing your application!",Entry level,Machine Learning Perception Engineer
+516,2024-11-25,Philadelphia,Pennsylvania,Treeswift,https://treeswift.com/,"Treeswift empowers utilities with AI-augmented vegetation management that reduces risk and improves reliability across transmission and distribution systems. Treeswift’s backpack and vehicle-mounted sensors seamlessly integrate into existing patrols to gather imagery and LiDAR data. Treeswift’s AI translates this data into actionable analytics and 360° field context for encroachment, strike potential, and failure risk via its software platform for vegetation management experts, arborists, and tree crews. Treeswift was founded in 2020 by a team of AI and robotics PhDs at the University of Pennsylvania.","About TreeswiftTreeswift is revolutionizing decision-making for critical energy infrastructure in the face of rising threats like severe storms and wildfires.After cutting our teeth developing AI models for forests in the timber sector, we are growing rapidly in the utility sector. In the U.S. alone, hundreds of thousands of miles of transmission lines and millions of miles of distribution lines need to be monitored and managed to reduce hazards, such as encroaching vegetation, that can cause outages or fires. With the rapid growth of renewable energy this infrastructure footprint is expected to more than double in the coming years creating more assets to defend than ever before.Treeswift’s mission is to deliver effective scalable technology to manage large-scale distributed infrastructure, starting with managing the risks posed by vegetation surrounding these assets. We do so by innovating across the technical stack. LiDAR and imagery data is collected by our sensor packs mounted on backpacks and vehicles to seamlessly integrate into customer operations. We then leverage AI (i.e. computer vision, etc…) to transform this data into actionable insights delivered to decision-makers in our software platform.We are early in our journey and focused on finding ground truth by working closely with our customers and using this understanding to deliver real value to our customers. To tackle this challenge we have brought together mission-driven robotics experts from top academic institutions (Penn, Caltech, etc…) and professionals with deep industry experience (Palantir) in enterprise software development. We hope you’ll join us.About The RoleTreeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our mission to increase the resilience of our energy systems. We are looking for an exceptional candidate with a proven track record of training and deploying models in a commercial setting.This is a full-time, hybrid/2-day a week in person role, with a strong preference for candidates based out of our NYC or Philadelphia office.Key ResponsibilitiesDevelop machine learning models that revolutionize our customers’ businesses. Treeswift develops machine learning algorithms that upend the cost and accuracy of vegetation management for energy infrastructure. In this role you will be responsible for bringing innovative ideas and rapid execution to new and existing models. In the course of development, you will collaborate closely with other teams (product, operations etc…) and have an opportunity to interact with end-users. Our machine learning model development focuses on two primary areas: (a) LiDAR point cloud models to classify and segment landscapes and infrastructure and (b) image models to derive vegetation attributes such as species and health. Create a best-in-class feedback loop to accelerate model development. You will improve Treeswift’s ability to assess model performance and adapt to new operating conditions at scale. Treeswift’s cutting edge model development involves significant investment in a proprietary dataset to train our models.Help Treeswift scale. In this role you will be expected to bring prior experience with commercial machine learning model development and deployment to help Treeswift cost-effectively scale its technology to serve a growing number of customers and use cases. You will be responsible for enabling effective collaboration on model development within the engineering team, and you will contribute to efforts to ensure reliable and robust performance of models in production.Required SkillsProven track record of training and deploying machine learning models at scale for commercial use cases. Experience in segmentation and object detection of point cloud data or image data.Experience creating, curating, and cleaning training datasetsStrong programming skills in Python Expertise in deep learning libraries such as PyTorch, TensorFlow, or similar.Excellent problem-solving and analytical abilities.Exceptional communication and collaboration skills.Preferred SkillsExperience with semantic mapping. Experience with image processing techniques and computer vision fundamentals.Experience with one or more of: Sensor Fusion, SLAM, Visual Odometry.Building and using cloud-based training and inference pipelines.5+ years of professional experience or 3+ years with an advanced degree. Experience with deep learning training frameworks such as MLflow, Lightning, Weights and Biases, or similar.What We ValueMission first. We value low ego team members who focus on working towards the best outcomes for the customer and the business, regardless of who gets the credit. Truth seeking. We don’t always have perfect information to make decisions, but we seek to constantly get closer to the ground truth and aren’t afraid to learn we were wrong in the process.Owners mindset. If you see an opportunity for improvement, run with it. We believe that good ideas can come from anywhere, no matter your role.BenefitsComprehensive medical, dental and vision insurance Life insurance package and disability coverage Stock optionsPaid leave for new parents Unlimited PTO401KSalaryThe estimated salary range for this position is $160,000-$180,000. Total compensation for this position is determined by skills, qualifications, relevant work experience, location, and other factors. This salary estimate excludes the value of any potential bonuses; the value of any benefits offered; and the potential future value of any long-term incentives. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.Treeswift is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.",Entry level,Software Engineer - ML
+517,2025-03-28,St. Louis,Missouri,Envision,http://www.envision.com,"View our jobs at www.envision.com. 
+Submit resumes to: askus@envision.com.
+
+Are you looking for a rewarding, fun career you can grow in? Are you an IT professional just looking for that perfect fit? Interested in opportunities to work in the Consumer Packaged Goods and Retail markets? Envision yourself in a great job with the help of Envision, LLC! 
+
+Envision prides itself on helping individuals find a great position on the cutting edge of technology - one they will find interesting, challenging and rewarding with top industry salaies and great benefits.
+
+Envision consultants play a key role in forming new business directions for our clients. Envision consultants maintain an exceptional work/life balance with excellent career advancement potential and professional development.
+
+At Envision, we have many jobs – from entry-level jobs to advanced professional careers. Our recruiting team will get to know you on a personal and professional level and help find a fit that makes sense for you both now and in the future. 
+
+At Envision, we are committed to finding our consultants more than “just a job”. Our staff develops long-term, close relationships with our consultants, and we pride ourselves on placing qualified employees in companies that are leaders in their industry.  Companies routinely turn to Envision for the right consultant to fill their needs. 
+
+Our consultants receive prompt attention from our staff, should they need assistance. Envision cares about and values its consultants and recognizes hard work and dedication.
+
+
+We assist companies through hiring the people who make a difference. We offer Contract, Right to Hire and Direct Hire roles, and has proven expertise in IT staffing and Marketing Specialists, including a position that is right for you!
+
+Start your job search at Envision and find top positions at Fortune 500/1000 Companies.","We are seeking a Data Scientist with a STRONG Neo4J background.US Citizens or Green Card Holders ONLY!No C2C No Third Party Vendors.OSITION SUMMARY:The focus is on leveraging Neo4j to create and manage an API backend to provide graph data for efficient and scalable solutions for data management and analysis.POSITION DUTIES & RESPONSIBILITIES:• Design and develop graph database solutions using Neo4j.• Collaborate with cross-functional teams to gather requirements and define database architecture.• Implement data models and schemas optimized for graph traversal and query performance.• Perform data integration and migration tasks to incorporate various data sources into the graph database.• Develop and maintain Cypher queries for data retrieval and manipulation.• Monitor and optimize database performance to ensure scalability and reliability.• Provide technical support and troubleshooting for database-related issues.REQUIREMENTS/PREFERENCESEducation Requirement(s):• Minimum: Bachelor's degree in Computer Science, Information Technology, or related field.• Preferred: Master's degree in Computer Science, Information Technology, or related field.Skill & Competency Requirements:• Experience in graph database development.• Expertise in Neo4j and Cypher query language.• Strong understanding of graph theory and data modeling.• Experience with data integration and migration.• Proficiency in database performance optimizationPreferences:• Experience with other graph databases and related technologies.• Experience with software development. Especially APIs (Rest/GraphQL)• Knowledge of data visualization tools and techniques.• Familiarity with cloud-based database solutions.",Mid-Senior level,Data Scientist
+518,2025-04-01,London,England,Parallel Consulting,http://www.parallelconsulting.com,"We are Parallel! 
+
+Parallel is an international, award winning trusted staffing partner to clients across the United States, DACH, Benelux and Nordic regions, where we deliver comprehensive Recruitment services across Infrastructure, Analytics, Software engineering and IT Security.
+
+Driven by our mission of bridging technology with the future, we provide global and local solutions for our clients around the world. 
+
+We have specialized solely in technology & analytics from the start, focusing on selected markets and building deep understanding of the needs, opportunities, challenges, and cultural gradations/shifts in every area.  We bring expertise and experience to guide all our clients and candidates.  
+
+We develop a strong understanding of what each of our clients’ needs and pair this with a global network of candidates nurtured over nineteen years. This puts us in a unique position to provide unrivalled insights, advice and support to ensure the right technical and cultural alignment, every time. 
+
+Passionate on behalf of our clients, professionals, and each other, our consultants communicate both openly and honestly to provide a seamless and reliable level of service, within and beyond our office borders.
+
+We are united and supported by our core values, our “Parallel Pillars” (imaginative, authentic, collaborative and mastery), which our people helped us to shape. Our people support each other to deliver the highest standard of service whilst embracing the ethos that underpins the work that we do at Parallel. ","Machine Learning Engineer (Productionizing ML Models) - FT500 Financial ServicesBackgroundWe're supporting the Chief Data Science Officer and Head of Machine Learning at a Fortune 500 Financial Services company in their search for a Machine Learning Engineer to drive innovation and excellence.This is a fantastic opportunity to join a forward-thinking AI and Data team developing cutting-edge AI and GenAI solutions across the enterprise. The team combines entrepreneurial energy with industry-leading expertise, fully backed by executive leadership.We’re seeking a candidate with a strong software engineering background who can lead the deployment of machine learning solutions.Key Responsibilities:Ensuring ML code adheres to software engineering best practicesEstablishing ML engineering standardsCollaborating with Platform MLOps to automate model deploymentMentoring other ML Engineers and Data Scientists in development practicesLeading teams and projects using Agile/Scrum methodology to deliver scalable, high-impact solutionsHands-on experience with GenAI, LLMs, and modern cloud environments (e.g., AWS) is highly valued.Key Requirements:At least 5 years of industry experience, with extensive experience in ML and/or software engineering, with 2+ years directly implementing AI/ML solutionsProficiency in Python, APIs, containerization (Docker), and cloud-native toolsExpertise in optimizing and deploying models with scalability and monitoring in mindFamiliarity with advanced NLP tools like Hugging Face and SpaCyDemonstrated experience leading teams and projectsCompensation:$170-180k Base + Bonus ($210-225k TC)Location: Open to remote candidates based in the United States who can commute to the NYC office on a quarterly basis.",Mid-Senior level,Machine Learning Engineer
+519,2025-04-07,San Francisco,CA,OpenAI,https://openai.com/,"OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit.
+
+To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership.
+
+At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.","About The TeamThe Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.The Integrity team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability.About The RoleAs a Machine Learning Engineer in OpenAI's Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about fine tuning LLMs and building ML models this role is your chance to make a significant mark.In This Role, You WillInnovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.You Might Thrive In This Role If YouMaster's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field. Demonstrated experience in deep learning and transformers modelsProficiency in frameworks like PyTorch or TensorflowStrong foundation in data structures, algorithms, and software engineering principles.Experience with search relevance, ads ranking or LLMs is a plus.Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimizationExcellent problem-solving and analytical skills, with a proactive approach to challenges.Ability to work collaboratively with cross-functional teams.Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlinesEnjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job doneAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.OpenAI Affirmative Action and Equal Employment Opportunity Policy StatementFor US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.",Entry level,"Machine Learning Engineer, Integrity"
+520,2025-03-20,Santa Clara,CA,Tiger Analytics,http://www.tigeranalytics.com,"In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. 
+
+Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. 
+
+If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.","Tiger Analytics is looking for experienced Machine Learning Engineers with LLM / NLP expertise to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:RequirementsHighly Skilled in Python and familiarity with libraries and frameworks TensorFlow, PyTorch, Hugging Face Transformers, etcProven experience designing, develop, and implement machine learning models with a focus on NLP and LLM applications. Extensive experience with NLP techniques and tools such as tokenization, named entity recognition, sentiment analysis, etcExperience with performing data preprocessing, feature engineering, and model training on large datasetsExperience with Fine-tune and optimizing LLMs such as GPT, BERT, or similar architectures for specific use casesHands-on experience with LLMs like GPT, Llama, BERT or similar modelsExperience building & supporting AWS architecture and using AWS services. At least 5 to 6 years of total experience and a minimum of 2 to 3 years of experience with the above skillsFamiliarity with Agile Development principlesExperience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithmsExperience with software engineering tools, such as Eclipse, Git, and othersAble to write clean, maintainable code, and read code created by othersHighly collaborative, fast learner, willing to jump in and help wherever neededEnthusiasm for learning and experimenting with new technologies, tools, and processesBenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.",Mid-Senior level,Machine Learning Engineer (LLM / NLP)
+521,2025-03-21,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for a skilled machine learning engineer to help us develop the cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Applied Machine Learning engineer to join our team. As a Machine Learning Engineer, you will conceptualize, design, implement, and validate algorithmic improvements to the catalog system and our product knowledge graph, which is at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams.You will report into the engineering manager on our New Verticals, Catalog ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve catalog building and quality problems such as entity recognition, entity resolution, attribute extraction, category classification, and image classification.Partner with engineering, product, and business strategy leaders to help shape our ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in building product knowledge graphs.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - New Verticals Catalog
+522,2024-11-20,Washington,DC,"NasTech Global, Inc.,",https://nastechglobal.com,"NasTech Global is a digital transformation solutions provider and empowering businesses through innovative technology solutions, and strategic guidance. We are committed to understanding our clients' unique challenges and objectives, providing tailored IT consulting services that drive efficiency, productivity, and growth. Our mission is to be a trusted partner, delivering exceptional value and transformative results that enable our clients to thrive in a rapidly evolving digital landscape.","Role : AI Engineer/Data ScientistLocation : Jersey City , NJ (Hybrid – 3 Days Onsite)Employment Type : Contract W2Primary Skills/ Required SkillsContinuous Automation Coding and Application Development Excellent documentation and articulation skills Architecture and Strategy Analytical Thinking Constraint-driven Decision Maki Docker Containerization and Orchestration – strong understanding of pods, services and deployments Collaborate with AI/ML teams to understand their requirements and translate them into scalable Kubernetes-based infrastructure solutions. Docker, Operators and Helm charts Understanding of Kubernetes security best practices (e.g., RBAC, network, and pod security policies) Ability to set up monitoring, logging, and alerting for Kubernetes clusters using Prometheus/Grafana Optimize Kubernetes cluster performance, resource utilization. Python, JSON Linux Skills Proficiency with Python and/or Shell Scripting System Engineering – Compute, Networking, Storage Experience working with Prometheus and Grafana""SkillsAutomation, Artificial intelligence, Test automation, Python, continuous automation, Kubernetes, Linux, containerization, application development, docker containers, docker, Prometheus, architecture, architectural design, design-build, shell scriptDesired Skills Desired outcomes of AI Platforms required to support the Data Scientist community AI Frameworks (e.g., PyTorch, TensorFlow) Linux Resource Management Tools – SLURM Nvidia Software Stack – CUDA, TensorRT, Triton Inference Server Jupyter Notebook Kubernetes Orchestration and Docker/Container",Mid-Senior level,AI Engineer/Data Scientist (W2)
+523,2025-03-21,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for a skilled machine learning engineer to help us develop the cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Applied Machine Learning engineer to join our team. As a Machine Learning Engineer, you will conceptualize, design, implement, and validate algorithmic improvements to the catalog system and our product knowledge graph, which is at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams.You will report into the engineering manager on our New Verticals, Catalog ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve catalog building and quality problems such as entity recognition, entity resolution, attribute extraction, category classification, and image classification.Partner with engineering, product, and business strategy leaders to help shape our ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in building product knowledge graphs.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - New Verticals Catalog
+524,2025-04-03,Cupertino,CA,Etched,https://etched.com/,"By burning the transformer architecture into our chips, we’re creating the world’s most powerful servers for transformer inference.","About EtchedEtched is building AI chips that are specialized for individual model architectures. Our first product (Sohu) only supports Transformers, but has an order of magnitude more throughput and lower latency than a B200. With Sohu, you can build products that are infeasible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Etched Labs is the organization within Etched whose mission is to democratize generative AI, pushing the boundaries of what will be possible in a post-Sohu world.Key ResponsibilitiesImplement high-performance software components for the Kayak inference engine in RustTranslate core mathematical operations from transformer models into optimized operation sequences for SohuDevelop components of our model assembler and execution pipelineWork on performance optimization for the Sohu programming interface and runtimeCollaborate with hardware engineers to maximize chip utilization and minimize latencyImplement efficient batching strategies and execution plans for inference workloadsContribute to the evolution of our system architecture and programming modelDesign and implement cutting edge inference time compute scaling methodsRepresentative projectsOptimize operation sequences to maximize Sohu's computational resources for specific transformer architectures such as Stable Diffusion.Implement efficient memory management for KV cache sharing and prefix optimizationBuild infrastructure for continuous batching and batch interleaving to improve throughputCreate components for the Sohu runtime that optimize for utilization, latency, and/or throughputImplement model-specific inference-time acceleration techniques such as speculative decoding, tree search, KV cache sharing, priority scheduling, etc by interacting with the rest of the inference serving stackImplement structured decoding and novel sampling algorithms for reasoning modelsDevelop testing and benchmarking tools to measure and improve performanceYou may be a good fit if you haveStrong software engineering skills with systems programming experienceExperience with Rust programming languageFamiliarity with transformer model architectures and/or inference serving stacks (vLLM, SGLang, etc.)Strong mathematical skills, esp. in linear algebraUnderstanding of computational graphs, tensor sharding operations, and ML workloadsAbility to reason about performance bottlenecks and optimization opportunitiesExperience working cross-functionally in diverse software and hardware organizationsStrong candidates may also haveExperience with hardware accelerators, ASICs, or FPGAsDeep expertise in ML systems engineering and hardware/software co-design with demonstrated impact (contributions to open-source projects or published papers)Experience with low-level memory management and synchronization primitivesTrack record of optimizing large-scale inference systemsBenefitsFull medical, dental, and vision packages, with 100% of premium coveredHousing subsidy of $2,000/month for those living within walking distance of the officeDaily lunch and dinner in our officeRelocation support for those moving to San Jose (Santana West), CAHow We’re DifferentEtched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.We are a fully in-person team in San Jose, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.",Mid-Senior level,Machine Learning Engineer
+525,2025-04-07,.,.,Evolve Group,http://www.evolvegrp.io,"Uncovering alpha in Quant Talent.
+
+Evolve is a strategic talent partner to several of the highest performing hedge funds, investment banks and asset managers globally. We are their go to force multiplier for Quantitative and trade technology talent. 
+
+By solving one of the hardest challenges of today - Talent -  we create a competitive advantage for our clients. Leveraging best in class tools, tech and outreach we discover and secure some of the best technical minds in the world. 
+
+We provide Search, Multi-hire and TaaS solutions globally. We believe the key to success lies in building great teams hence - People is our strategy. 
+
+
+Specialisms: High-Frequency Trading, Quantitative Development, Quantitative Research, Systematic Trading, Low Latency infrastructure, Algorithmic Trading, Fintech, Hedge Funds, Prop Trading, Electronic Trading, Market Making, Quantitative Development, Quantitative Research, C++, Low-Level, FX, Futures, Fixed Income, Equities, Commodities.","Overview:We are exclusively partnered with one of the world’s most prestigious and innovative hedge funds, renowned for its relentless focus on excellence, technology, and quantitative research. They are seeking exceptionally talented Machine Learning Engineers to join their elite technology organization.This is a rare opportunity to work alongside world-class engineers, quantitative researchers, and portfolio managers, developing cutting-edge machine learning systems that have a direct and immediate impact on the firm’s trading and investment strategies.This role is ideal for highly driven, technically elite engineers with outstanding academic credentials and a deep desire to apply their machine learning expertise to solve complex, real-world problems at scale. The firm fosters a fast-paced, intellectually rigorous environment, with significant investment in talent and continuous learning.Key Responsibilities:Design, develop, and optimize machine learning models and infrastructure to support quantitative research and trading strategies.Collaborate closely with researchers and portfolio managers to integrate ML models into real-time, production-grade systems.Architect scalable pipelines for model training, testing, and deployment, leveraging massive datasets and advanced ML techniques.Continuously improve model performance, robustness, and efficiency through experimentation, tuning, and rigorous engineering best practices.Gain deep exposure to financial markets and how machine learning drives data-driven investment decisions.Requirements:Bachelor’s or Master’s degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field from a top-tier university (GPA 3.7+ strongly preferred).2-5 years of professional experience in machine learning engineering, software engineering, or related roles (internships and research experience do not count toward the 1-5 YOE requirement).Strong programming skills in Python, with expertise in machine learning frameworks such as TensorFlow, PyTorch, or JAX.Solid understanding of algorithms, data structures, and systems design; experience with distributed systems, low-latency computing, or large-scale ML infrastructure is a strong plus.Experience building, deploying, and maintaining machine learning models in production environments.Passion for solving challenging technical problems in a fast-paced, collaborative environment.Strong communication skills and a desire to work alongside high-performing teams.Why Join?Work with some of the brightest minds in engineering, quantitative research, and finance.Receive industry-leading compensation with significant upside tied to performance.Access cutting-edge technology, vast datasets, and an environment that fosters continuous intellectual growth.Thrive in a flat, meritocratic culture that rewards innovation, impact, and excellence.Accelerate your career trajectory at one of the world’s most prestigious hedge funds.If you are a high-pedigree machine learning engineer ready to apply your skills in an elite, fast-paced hedge fund environment, we want to hear from you.",Mid-Senior level,Machine Learning Engineer
+526,2024-11-25,Philadelphia,Pennsylvania,Treeswift,https://treeswift.com/,"Treeswift empowers utilities with AI-augmented vegetation management that reduces risk and improves reliability across transmission and distribution systems. Treeswift’s backpack and vehicle-mounted sensors seamlessly integrate into existing patrols to gather imagery and LiDAR data. Treeswift’s AI translates this data into actionable analytics and 360° field context for encroachment, strike potential, and failure risk via its software platform for vegetation management experts, arborists, and tree crews. Treeswift was founded in 2020 by a team of AI and robotics PhDs at the University of Pennsylvania.","About Treeswift:Treeswift is revolutionizing decision-making for critical energy infrastructure in the face of rising threats like severe storms and wildfires.After cutting our teeth developing AI models for forests in the timber sector, we are growing rapidly in the utility sector. In the U.S. alone, hundreds of thousands of miles of transmission lines and millions of miles of distribution lines need to be monitored and managed to reduce hazards, such as encroaching vegetation, that can cause outages or fires. With the rapid growth of renewable energy this infrastructure footprint is expected to more than double in the coming years creating more assets to defend than ever before.Treeswift’s mission is to deliver effective scalable technology to manage large-scale distributed infrastructure, starting with managing the risks posed by vegetation surrounding these assets. We do so by innovating across the technical stack. LiDAR and imagery data is collected by our sensor packs mounted on backpacks and vehicles to seamlessly integrate into customer operations. We then leverage AI (i.e. computer vision, etc…) to transform this data into actionable insights delivered to decision-makers in our software platform.We are early in our journey and focused on finding ground truth by working closely with our customers and using this understanding to deliver real value to our customers. To tackle this challenge we have brought together mission-driven robotics experts from top academic institutions (Penn, Caltech, etc…) and professionals with deep industry experience (Palantir) in enterprise software development. We hope you’ll join us.About the Role:Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our mission to increase the resilience of our energy systems. We are looking for an exceptional candidate with a proven track record of training and deploying models in a commercial setting.This is a full-time, hybrid/2-day a week in person role, with a strong preference for candidates based out of our NYC or Philadelphia office.Key ResponsibilitiesDevelop machine learning models that revolutionize our customers’ businesses. Treeswift develops machine learning algorithms that upend the cost and accuracy of vegetation management for energy infrastructure. In this role you will be responsible for bringing innovative ideas and rapid execution to new and existing models. In the course of development, you will collaborate closely with other teams (product, operations etc…) and have an opportunity to interact with end-users. Our machine learning model development focuses on two primary areas: (a) LiDAR point cloud models to classify and segment landscapes and infrastructure and (b) image models to derive vegetation attributes such as species and health. Create a best-in-class feedback loop to accelerate model development. You will improve Treeswift’s ability to assess model performance and adapt to new operating conditions at scale. Treeswift’s cutting edge model development involves significant investment in a proprietary dataset to train our models. Help Treeswift scale. In this role you will be expected to bring prior experience with commercial machine learning model development and deployment to help Treeswift cost-effectively scale its technology to serve a growing number of customers and use cases. You will be responsible for enabling effective collaboration on model development within the engineering team, and you will contribute to efforts to ensure reliable and robust performance of models in production. Required SkillsProven track record of training and deploying machine learning models at scale for commercial use cases. Experience in segmentation and object detection of point cloud data or image data. Experience creating, curating, and cleaning training datasetsStrong programming skills in Python Expertise in deep learning libraries such as PyTorch, TensorFlow, or similar. Excellent problem-solving and analytical abilities. Exceptional communication and collaboration skills. Preferred SkillsExperience with semantic mapping. Experience with image processing techniques and computer vision fundamentals. Experience with one or more of: Sensor Fusion, SLAM, Visual Odometry. Building and using cloud-based training and inference pipelines. 5+ years of professional experience or 3+ years with an advanced degree. Experience with deep learning training frameworks such as MLflow, Lightning, Weights and Biases, or similar. What We ValueMission first. We value low ego team members who focus on working towards the best outcomes for the customer and the business, regardless of who gets the credit. Truth seeking. We don’t always have perfect information to make decisions, but we seek to constantly get closer to the ground truth and aren’t afraid to learn we were wrong in the process. Owners mindset. If you see an opportunity for improvement, run with it. We believe that good ideas can come from anywhere, no matter your role. BenefitsComprehensive medical, dental and vision insurance Life insurance package and disability coverage Stock optionsPaid leave for new parents Unlimited PTO401KSalaryThe estimated salary range for this position is $160,000-$180,000. Total compensation for this position is determined by skills, qualifications, relevant work experience, location, and other factors. This salary estimate excludes the value of any potential bonuses; the value of any benefits offered; and the potential future value of any long-term incentives. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.Treeswift is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.",Mid-Senior level,Software Engineer - ML
+527,2025-02-06,Monmouth Junction,NJ,First Soft Solutions LLC,http://www.firstsoftsolutions.net,"When you hire First Soft Solutions, you're hiring a strategic technology consulting partner committed to helping you meet your unique business and technology objectives on time, on budget and with an optimal experience. We apply the expertise of our global community of technology experts, an unmatched portfolio of proven solutions, flexible delivery and a laser focus on the Microsoft enterprise platform to help you increase revenue, reduce costs and reinvest in innovation for competitive advantage. And we bring unique connections with our clients and Microsoft, enhancing our ability to deliver effective mission-critical solutions for organizations across all industries. When selecting an First Soft Solutions solution, you'll receive the best of our thinking and experience. Based on engineered, tested and reusable technology assets, our solutions are proven to help customers streamline operations, create new products and services, optimize collaboration across all groups and boundaries, and serve their customers better.","We are actively hiring for Senior Machine Learning EngineerFull time W2 requirement Minimum 8+ years of experience is neededMinimum of 8 years of experience in machine learning and deep learning (Python, scikit-learn, XGBoost).Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras.Hands-on experience in Natural Language Processing (NLP).Proficiency in software development practices, including Git, PEP-8 standards, and Python advanced programming techniques.",Mid-Senior level,Machine Learning Engineer
+528,2025-02-15,San Francisco,California,Decagon,https://decagon.ai,"Trusted by world-class enterprises, Decagon is the most advanced AI platform for customer support.","About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About The RoleWe’re looking for a Machine Learning Research Engineer to join our team and help build out our enterprise-grade conversation AI platform. As a Research Engineer, you will evaluate, fine-tune, and deploy large language models that power the intelligence behind our AI agents. You’ll play a key role in building intelligent systems that learn from interactions, follow complex instructions, and deliver high-quality support autonomously.QualificationsWe are looking to hire exceptional people, with strong spikes. Everyone at Decagon did exceptional work at their prior companies, went to top schools, were nationally competitive at olympiads, and more.5+ years of experience in AI/ML engineering or research.Proven track record of working on AI/ML projects from concept to production.Experience fine-tuning and deploying LLMs in production environments.You write amazing code, fast.BenefitsHealth, dental, and vision insuranceTake what you need vacation policyCareer growth opportunities within a fast-growing AI company",Entry level,Machine Learning Research Engineer
+529,2025-03-22,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced senior machine learning engineer to help us develop the cutting-edge Computer Vision models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Applied Machine Learning expert to join our team. As a Computer Vision expert, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the computer vision system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph and inventory information more accurate and real time, as well as help Dasher efficiency. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve consumer vision problems such as entity recognition, entity resolution, attribute extraction, object detection, segmentation, metric learning, and category classification, image classification.Collaborate with cross-functional leaders across engineering, product, and business strategy to help shape a product roadmap driven by machine learning, accelerating the growth of a multi-billion-dollar retail delivery ecosystem.Explore and harness diverse data sources, leveraging intuitive models and fostering a culture of flexible experimentation. Your goal will be to continuously improve the shopping and dashing experiences, delivering solutions that are not only effective but also scalable and user-centric.Drive impact and enjoy ample room for both personal and professional growth. This includes opportunities for deep technical development and leadership as you work within a growing team that is actively unlocking new markets for the company.Innovate and experiment with cutting-edge technologies and methodologies in AI and ML. You’ll have the freedom to explore emerging technologies, test new ideas, and drive technical innovation in the computer vision space, directly shaping the future of our retail and delivery solutions.We’re Excited About You Because You Have…Industry experience developing machine learning models with business impact, and shipping ML solutions to production. You have successfully shipped ML solutions to production and understand the nuances of transitioning models from development to real-world environments.Deep expertise in applied Computer Vision, with hands-on experience solving challenging vision-related problems and implementing solutions that drive customer value. Your knowledge extends to solving complex tasks such as object detection, classification, and segmentation.Strong machine learning and programming skills, particularly in Python, with experience in key ML frameworks such as PyTorch, TensorFlow, or Spark. You’re able to implement scalable models and optimize performance for production systems.You must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New YorkM.S., or PhD. in Computer Vision, Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field is a plusFamiliarity with causal inference and experimentation techniques, enabling you to design and evaluate experiments that validate the effectiveness of ML models and ensure the product’s continuous improvement.Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,"Machine Learning Engineer, Computer Vision"
+530,2025-03-28,Ridgefield Park,NJ,Samsung Electronics America,http://www.samsung.com/us/,"Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays.
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+We’re committed to keeping co-prosperity at our core through creating human-centric innovation, empowering the next generation and serving the communities where we live and work. As an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, SEA is dedicated to positively impacting the environment through its eco-conscious products, practices and operations. ","Position SummarySamsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team.Location: Mountain View, CARole and ResponsibilitiesLead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market.Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.Mentor junior engineers and provide technical guidance.Learn quickly and adapt to a fast-paced working environment.Experience RequirementsMaster’s or PhD degree in Computer Science or related fields.4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.Solid theoretical background in machine learning and/or data mining.Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).Hands-on experience with production-grade machine learning solutions.Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).Extensive programming experience in Python, Go, or other OOP languages.Familiarity with data structures, algorithms, and software engineering principles.Proficiency in SQL and databases.Strong communication and interpersonal skills to drive cross-functional partnerships.Preferred Experience RequirementsPublications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).Basic knowledge about Amazon Web Services (AWS).Experience with the advertising industry and real-time bidding (RTB) ecosystem.The salary range for this role, for candidates based in California, is expected to be between $ $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.Reasonable Accommodations for Qualified Individuals with Disabilities During the Application ProcessSamsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.",Mid-Senior level,Machine Learning Model Engineer - Advertising - Ranking
+531,2025-04-09,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity The Adobe Document Cloud AI & Innovation Team is looking for anexperienced Machine Learning Engineer to drive a new and exciting focusarea: using AI and ML to transform customer experiences! In this excitingrole, you will use your AI/ML expertise to deeply understand how customersuse our products and improve their journey.The Adobe Document Cloud powers the world’s most widely used digitaldocument experiences, including Adobe Acrobat, which is installed on overa billion devices and opens billions of PDFs annually. Our ecosystem extendsto Adobe Sign, Document Cloud Platform, and Adobe Scan. With the recentrelease of the Acrobat AI Assistant, we are leading the way in incorporatingsophisticated insights into our products to improve user experiences.This is a unique opportunity to join a fast-moving team focused on applyingAI/ML to refine, optimize, and enhance the way customers engage withdigital documents. Your work will directly influence product decisions andshape the future of intelligent document workflows.What You'll DoAs a Senior Machine Learning Engineer, you will play a critical role inapplying AI/ML to understand customer interactions, uncover insights, anddrive critical product decisions that enhance our users’ experience acrossAdobe’s document ecosystem.You will: Design and lead initiatives aimed at improving customer interactions and engagement with Adobe Document Cloud products.  Develop AI-powered insights to help product teams make data-driven decisions that enhance usability and retention.  Build and deploy ML models that analyze user interactions.  Collaborate closely with multiple teams (Product, Engineering, UX, and Data Science) to find opportunities where AI can enhance customer experience  Optimize and scale AI/ML solutions across mobile, cloud, and desktop environments. Facilitate technology transfer between Adobe Research and Document Cloud, ensuring that innovative AI advancements translate into real-world impact. This role is a mix of hands-on technical implementation and strategic leadership, offering the chance to work on high-visibility projects with ample room for innovation and creativity.What We’re Looking For: 5+ years of industry experience in applying AI/ML to real-world products, with a focus on customer experience and engagement.  Strong understanding of product development and a passion for crafting innovative solutions that have a direct impact on users.  Expertise in Generative AI, Python, and Python-based ML/DL frameworks  Excellent coding, data analysis, and problem-solving skills with a strong foundation in data structures and algorithms.  Solid foundation in statistical analysis and data analysis techniques.  Experience with ML Ops and deploying AI models at scale. Familiarity with ML services is a plus.  Strong communication and collaboration skills, with the ability to work across subject areas and drive critical initiatives.  Master’s or PhD in Computer Science or a related field (or equivalent industry experience).  Why Join Us?  Drive a new AI-powered business focus—shape how AI enhances customer experience at scale.  Work on industry-leading AI innovations like the newly launched Acrobat AI Assistant.  Be part of a fast-moving, diverse team at the intersection of AI, customer experience, and product innovation.  Make an impact—your work will reach millions of users worldwide. If you're passionate about using AI to transform customer experience andeager to work on high-visibility projects that push the boundaries of what'spossible, we'd love to hear from youApplication Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,Sr. Machine Learning Engineer
+532,2025-04-04,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways.We’re looking for a Data Scientist to join Snap Inc.What you’ll do:Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisionsDrive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'Collaborate with product managers, engineers, product marketers, and designersKnowledge, Skills & Abilities:Expertise using data modeling skills to identify key product trends and new product opportunitiesAbility to design implement, and track core metrics to analyze the performance of our productsAbility to create visuals, dashboards, and reports to effectively communicate your insightsAbility to collaborate with engineers, product managers, and other cross-functional teamsAbility to initiate and drive projects to completion with minimal guidanceAn understanding of Snapchat with great product sense and product understandingMinimum Qualifications:BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience1+ years of experience in quantitative analysis & data science or a related fieldPreferred Qualifications:1+ years of experience using SQL or similar big data querying languages1+ years of experience with programming language, such as Python or R1+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniquesAdvanced degree in applied mathematics, statistics, actuarial science, economics or related fieldExperience in a product-focused role at a social media, online advertising, digital media and/or mobile technology companyExperience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research. If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $118,000-$176,000 annually.Zone B:The base salary range for this position is $112,000-$167,000 annually.Zone C:The base salary range for this position is $100,000-$150,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Data Scientist, 1+ Years of Experience"
+533,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:The E-Commerce Risk Control (ECRC) team's mission is : To protect TikTok e-commerce users, including and beyond buyer, seller, creator; To make Tiktok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform; Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders.The ECRC team works to prevent and detect any risk attempts in Tiktok e-commerce platforms (e.g. TikTok Shop) and to mitigate the negative impact on our customers and Selling Partners (Sps), covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc.We achieve our mission by a) developing state-of-art Machine Learning (ML) solutions to prevent customers, SPs, and Tiktok from being impacted by bad actors’ actions and practices to gain unfair business advantages; b) empowering Tiktok teams, both internal to GNE and external, to reduce risk attempts by utilizing our mechanisms.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms. Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams. Collaborate with multidisciplinary teams to enhance current automation processes. Build efficient data querying infrastructure for real-time and offline analysis. Identify opportunities to strengthen risk defense solutions. Define risk control metrics and promote data-driven practices. Align teams and stakeholders on numeric goals for risk control. Document technical processes and effectively communicate results through writing, visualizations, and presentations.QualificationsMinimum Qualifications: Master's degree in Computer Science, Engineering, Operations Research, or related fields. Current or recent graduate with a background in Computer Science, Computer Engineering, or a related technical discipline Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning. Experience with Python, SQL/Hive, and Hadoop Strong understanding of data structures and algorithms, with excellent problem-solving ability Detail oriented, effective time management, and strong analytical skillsPreferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications Internship experience or research experience, especially in e-commerce, risk control domian Curiosity towards new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilitiesTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2025 Start (MS)
+534,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamInterest-based E-commerce is a new and fast growing business that aims at connecting all customers' interests to excellent sellers and high quality products on TikTok Shop. Different from other traditional E-commerce platforms, Tiktok Shop provides customers with personalized and unique shopping experience through E-commerce live-streaming and E-commerce short videos. The recommendation system plays an extremely important role in helping customers explore their shopping interests.We are a group of applied machine learning engineers and research scientists that focus on E-commerce video/live-streaming recommendations on the major traffic source of Tiktok ForU page, where we serve traffic for billions of users every single day. We develop innovative algorithms and ML techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited about applying large scale machine learning to solve various real-world problems in E-commerce and recommendation.Responsibilities Participate in building large-scale (10 million to 100 million) live-streaming and short video e-commerce recommendation algorithms and systems on TikTok. Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently. Design and develop various strategies using ML technology to improve user shopping experience, and resolve e-commerce business challenges, such as the cold start problem and traffic allocation. Design and build supporting/debugging tools as needed.QualificationsMinimum Qualifications Bachelor's degree or higher in Computer Science or related fields. Strong programming and problem-solving ability. 1 year of experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Experience in Deep Learning Tools such as tensorflow/pytorch. Experience with at least one programming language like C++/Python or equivalent.Preferred Qualifications 2 years of experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $137750 - $237500 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, E-commerce Feed Recommendation"
+535,2025-04-08,Santa Monica,California,Headspace,https://www.headspace.com/,"Headspace is your lifelong guide to better mental health. We make mental health support accessible to everyone, no matter their background or experience. Through our flagship Headspace app, we provide mental health coaching in addition to mindfulness and mental health tools for everyday life, like guided meditations, sleepcasts, mindful movement, and focus exercises. Our enterprise offerings combine this experience with EAP and work-life services, as well as therapy and psychiatry services – all in a single destination. Our team of experts ranges from mental health clinicians to Emmy award-winning producers and data scientists, working together as one to help millions of people around the world be healthier and more productive. To learn more, please visit headspace.com. ","About the Software Engineer, API at Headspace:Headspace is seeking a talented Software Engineer to join its growing Care Hub team. We are responsible for Care Hub, our in-house Electronic Health Record (EHR) system and the experience of our Care Providers (health coaches, therapists, and psychiatrists) to deliver high-quality care through video and text-based sessions to our members.What you will do:Impact Millions: Your work can impact over 65 million users, contributing to our mission of improving mental health worldwide.Innovative Technology: Dive into cutting-edge technologies! You'll be prototyping, architecting, and coding with Typescript/JS/Node.js and Python/Django to power our EHR, including features like AI-assisted clinical note-taking, real-time chat, scheduling, and HIPAA-compliant health records storage.Collaborative Environment: Work alongside talented product managers, designers, data analysts, and engineers in a fast-paced, supportive environment.Design and develop maintainable and flexible services for mission-critical systems that directly support mental healthcare delivery.Write clean, testable, and efficient code that ensures a seamless experience for Care Providers, members and fellow developers.Collaborate on the evolution of our Care Platform's architecture, helping to shape the future of our tech stack.Participate in the full development lifecycle, from collaborating with stakeholders to writing technical specifications and releasing features.Build and maintain APIs using Typescript/Node.js and Python/Django on AWS-based services.What you will bring:Required Skills:3+ years of hands-on software development experience building APIs and microservicesExposure to modern frontend frameworks such as React, NextExperience with Typescript/JS/Node.js and/or Python/Django (strong proficiency in either one, exposure to the other)Strong debugging skills and experience with unit, integration, and end-to-end testing, as well as using CI/CD systemsExcellent communication skills, both written (technical documentation) and verbal (articulating technical ideas clearly both technical and non-technical audiences) A passion for collaboration and a desire to thrive in a fast-paced environment.Preferred Skills:Exposure to alerting, logging, and monitoring frameworks Solid understanding of database management and object-oriented programmingBS/MS degree in Computer Science or something equivalentPay & Benefits:The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, relevant licensure and certifications, and unique relevant experience and job-related skills. The base salary range for this role is $100,800 - $161,000.At Headspace, cash salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, unlimited, free mental health coaching, generous parental leave, and much more. Paid performance incentives are also included for those in eligible roles. Additional details about our Total Rewards package will be provided during the recruitment process.How we feel about Diversity, Equity, Inclusion and Belonging:Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.Headspace participates in the E-Verify Program.Privacy StatementAll member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship.  As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice",Entry level,"Software Engineer, API"
+536,2025-03-13,Danville,California,Cypress HCM,https://www.cypresshcm.com,"At Cypress, we deliver top talent to your doorstep. Our nationwide reach and industry expertise help us precision-match candidates, saving you time and frustration. Our experts specialize in placing highly qualified employees, ensuring a perfect fit that not only boosts individual career paths but also enhances organizational productivity.  ","Duties:The AirCover Tech team needs support for the Guardrails for Hosts initiative. This critical project comprises a series of improvements to the AirCover for Hosts intake experience, which aims to enhance the quality of reimbursement requests, expedite processing times, and improve the overall guest experience.Qualifications:• 3+ years of industry experience in applied Machine Learning, MS/PhD in relevant fields is preferred.• Deep understanding of Machine Learning best practices and end to end deployment. (eg. foundation pipeline, feature generation, feature engineering, model training/evaluation, A/B testing, model deployment and model serving, service integration), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, CV, personalization and recommendation).• Strong fluency in Python and SQL with experience with the following: Tensorflow, PyTorch, AWS, Spark, Airflow (or equivalent), Kafka (or equivalent), MLFlow• Hands-on experience with large language models ((e.g., GPT, LLaMA, Falcon etc) and experience orchestrating LLMs (prompt tuning, RAG, Finetuning, summarization etc.) in production use cases is a bonus• Industry experience building and deploying ML models at scale, including real-time or batch prediction pipelines, evaluation and monitoring/alerting.• Exposure to large-scale architecture patterns: well-designed APIs, high-throughput data pipelines, distributed training, and scaling best practices.• Flexibility for time zone and locationsPay Rate Range:• $ 75-82.95/hr.",Mid-Senior level,Machine Learning Engineer
+537,2025-03-20,Canary Wharf,London,"Fitch Group, Inc.",https://www.fitch.group/,"Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by Hearst, Fitch Group is comprised of: Fitch Ratings, a global leader in credit ratings and research and Fitch Solutions, a leading provider of data, research and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.","Fitch Group is currently seeking a Machine Learning Engineer based out of our Chicago office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.Want to learn more about a career in technology and data at Fitch?Visit: https://careers.fitch.group/content/Technology-and-Data/About The TeamThe Fitch Group’s AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position could be based out of our Chicago, London, or Manchester offices.The AI Chapter’s Team Objectives Implement AI & ML technology in collaboration with Fitch Ratings business partners and product squads  Develop and support enterprise-level AI exploration tools and capabilities  Provide guidance for efficient and secure development and deployment of AI  Establish and maintain guidelines and processes for AI/ML governance How You’ll Make An Impact Work closely with or as part of product squads to build, integrate, and deploy AI and ML solutions, sharing best practices and learnings with other squad members.  Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases  Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation.  Collaborate with data scientists to identify innovative solutions that leverage data to meet business objectives.  Develop, in collaboration with senior engineers, scalable solutions and workflows that leverage ML & Gen AI to meet enterprise requirements.  Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions  Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows.  Use Python and large-scale data workflow orchestration platforms (e.g. Airflow) to build software artifacts for ETL, integrating diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems  Design and develop APIs (e.g. using FastAPI) for integration and deployment of ML models and solutions. You May Be a Good Fit If 3+ years of work experience as an AI/ML engineer  Experience developing production quality Python code  Strong adherence to software and ML development fundamentals (e.g., code quality considerations, automated testing, source version control, optimization)  Experience in integrating AI solutions into existing workflows  Experience building Generative AI frameworks, leveraging and/or finetuning LLMs. (experience building agentic workflows strongly preferred)  Experience building/enhancing search and information retrieval systems  Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc.  Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred)  Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc.  Bachelor’s degree (master’s or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field What Would Make You Stand Out Experience developing/integrating functionality for/in Document Management Systems and content management systems  Experience supporting prototyping teams to enable seamless transition from prototype to development and deployment  Experience building agentic workflows powered by language models  Passion for using data and ML to drive better business outcomes for customers  Strong interpersonal skills and ability to work proactively as a team player  Proven ability to work effectively in a distributed team environment and efficiency in fast-paced settings  Proven ability to collaborate with non-AI/ML teams to integrate AI solutions into broader workflows and projects.  Experience working with cross-functional teams.  Familiarity with credit ratings agencies, regulations, and data products  Excellent written and verbal communication skills  Advocate of good code quality and architectural practices  Experience working in Java and/or JavaScript codebases Why Choose Fitch Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location  A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity  Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals  Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing  Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively  Inclusive Work Environment : A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe  Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. FOR CHICAGO ROLES ONLY:  Expected base pay rates for the role will be between $90,000 and $125,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.",Mid-Senior level,"Machine Learning Engineer, Chicago"
+538,2024-08-22,San Jose,California,WeRide,http://www.weride.ai,"Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days. On October 25, 2024, WeRide was officially listed on the Nasdaq Global Select Market under the ticker symbol ""WRD"", and became the world's first publicly listed universal autonomous driving company and the first publicly listed Robotaxi company.
+
+WeRide aims to develop safe and reliable driverless solutions to make mobility and transportation safer, more affordable, and accessible. As the pioneer in autonomous driving technologies and applications, WeRide has developed a comprehensive portfolio, including Robotaxi, Robobus, Robovan, Robosweeper, and advanced driver-assistance system (ADAS), with application scenarios spanning smart mobility, smart logistics, and smart sanitation.
+
+With a rich experience in autonomous driving R&D, commercialization, and operation, WeRide has formed partnerships with renowned global OEMs and Tier1 including Renault-Nissan-Mitsubishi Alliance, Yutong Group, GAC Group, BOSCH, etc.
+
+WeRide earned a prestigious position among the top ten on Fortune Magazine’s “2023 Change the World” list and was named to Fortune Magazine’s 2024 “The Future 50” list.","Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days.WeRide.ai is looking for a machine learning engineer for the prediction team. In this impactful role, you will collaborate with a best-in-class team of engineers to tackle hard problems and help advance mobility solutions to improve everyday lives.What you will do:Active learning and Bayesian optimization Anomaly detection Deep networks Distributed/parallel learning algorithms Learning control Predictive modeling Requirements: PhD in Electrical Engineering, Computer Science/Engineering or a related field. 3 or more years of relevant work or lab experience in Machine Learning, Deep Learning or High-Performance Computing Excellent knowledge of theory and practice of machine learning. Excellent programming skills in some rapid prototyping environment such as MATLAB or Python; C++ and parallel programming (e.g., CUDA) is a plus. Knowledge of common machine learning frameworks. Track record of research excellence or significant product development. Knowledge of application areas such as computer vision or robotics Plus: Strong understanding of recent advancements in machine learning research Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.WeRide.ai offers competitive salary depending on the experience. Employee benefits include:Premium Medical, Dental and Vision Plan (No cost from employees or their families)Free Daily Breakfast, Lunch and DinnerPaid vacations and holidays401K plan",Not Applicable,Machine Learning Engineer
+539,2025-04-02,Burbank,CA,The Walt Disney Company,http://www.disneycareers.com,"The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences.
+
+Our mission is to entertain, inform and inspire people around the globe through the power of unparalleled storytelling, reflecting the iconic brands, creative minds and innovative technologies that make us the world’s premier entertainment company.","About The RoleData scientists at Disney Streaming Services are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.As a Senior Data Scientist on the Segmentation and Content Understanding team, you will lead technical efforts in developing and deploying advanced NLP and Large Language Model (LLM) solutions to enhance user experience across Disney+, Hulu, and ESPN+. This role requires expertise in deep learning model architectures, fine-tuning, customization of open-source models, and hands-on experience deploying production-grade AI solutions.Key ResponsibilitiesDevelop and deploy advanced NLP and LLM solutions.Customize and fine-tune foundational models such as BERT, GPT, and CLIP.Create multimodal AI systems integrating text, image, and video data.Optimize model performance (accuracy, latency, scalability) leveraging GPU infrastructure and distributed computing.Deploy models and manage their lifecycle in production environments.Implement robust CI/CD workflows and job orchestration for ML systems.Follow software development best practices, including testing, code reviews, and continuous integration.Champion and implement MLOps practices for seamless deployment and monitoring.Basic QualificationsBachelors degree in Computer Science, Engineering, Mathematics, or related field.5+ years of hands-on experience developing and deploying machine learning models in production environments.Strong expertise in Deep Learning, NLP, large language models, embeddings, and related technologies.Familiarity with transformers, attention mechanisms, multimodal models, and tokenization.Proficient with Python, at least one of the deep learning frameworks (such as PyTorch or TensorFlow), and deep learning libraries (such as Hugging Face Transformers).Hands-on experience with fine-tuning techniques and model optimization.Solid understanding of hardware optimization, GPU usage, and performance trade-offs.Proficiency in CI/CD processes, job orchestration tools, Docker, containerization, and MLOps workflows.Excellent communication skills, capable of clearly articulating technical concepts to non-technical stakeholders.Comfort working in fast-paced environments, adapting proactively to changing priorities.Preferred QualificationsMaster’s degree in Computer Science, Engineering, Mathematics, or related field.Experience using vector databases and retrieval systems.Familiarity with GPU profiling and memory optimization for large models.Familiarity with NLP techniques such as RLHF, parameter-efficient tuning, and retrieval-augmented generation (RAG).Additional Information#DISNEYTECHThe hiring range for this position in New York, NY is $145,400 to $195,000 per year. Santa Monica, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.",Mid-Senior level,Senior Data Scientist - NLP/LLM
+540,2025-03-27,Broomfield,Colorado,DigitalOcean,https://www.digitalocean.com,"DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean helps developers at startups and growing digital businesses rapidly build, deploy and scale, whether creating a digital presence or building digital products. DigitalOcean combines the power of simplicity, security, community and customer support so customers can spend less time managing their infrastructure and more time building innovative applications that drive business growth.","We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems.Key ResponsibilitiesDevelop, test, and implement predictive models and machine learning algorithms to solve business challenges.Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools.Design and execute experiments (A/B testing, causal inference, etc.) to measure the impact of business initiatives.Collaborate with stakeholders to translate business questions into data science problems and communicate findings effectively.Build and maintain data pipelines and ETL processes to ensure data quality and availability.Present data-driven recommendations to executives and cross-functional teams in a clear and actionable manner.Stay updated on the latest advancements in data science, machine learning, and AI.QualificationsMaster’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.3+ years of experience in data science, analytics, or a similar role.Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.Solid experience with SQL for querying and managing structured data.Knowledge of machine learning, statistical modeling, and optimization techniques.Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.Ability to communicate complex findings to non-technical stakeholders in a clear, concise manner.Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).Familiarity with business intelligence, marketing analytics, or financial forecasting is a plus.Preferred SkillsExperience in causal inference, econometrics, or Bayesian methods.Hands-on experience with ML Ops, model deployment, or data engineering workflows.Understanding of business metrics, growth strategies, and financial modeling.Ability to work in a fast-paced, cross-functional environment.Why You’ll Like Working for DigitalOceanWe innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.We reward our employees. The salary range for this position is $165,000 - $195,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.This is a remote role",Mid-Senior level,Data Scientist
+541,2025-01-09,Mountain View,CA,Quora,https://www.quora.com/careers,"The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people’s heads, or buried in books and papers that only experts can access. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
+
+To do so, we have two knowledge sharing products:
+
+Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
+
+Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-4, Claude 3, Gemini Pro, DALL-E 3 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
+
+Visit quora.com/careers to browse open roles and apply online.
+
+Quora company blog: blog.quora.com
+Engineering blog: engineering.quora.com
+Design blog: design.quora.com
+Data blog: data.quora.com
+Recruiting blog: interviewingatquora.quora.com/
+Intern blog: quorainterns.quora.com
+","[Quora is a ""remote-first"" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]About Quora:Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others. Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-4, Claude 3, Gemini Pro, DALL-E 3 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models. Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.This role will be working on our Quora product.About the Team and Role:Our Recommender System team works on challenging problems every day. Our Machine Learning Engineers are tasked with optimizing the content distribution system at Quora. The team covers the entire Machine Learning lifecycle from end-to-end, including feed generation, notifications, digest emails, and requests to answer. Engrained in our culture is the desire to constantly learn and improve, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high-quality code by designing APIs and abstractions that are extensible and maintainable. As a remote-first company, our engineers have a high degree of flexibility and autonomy. Everyone on the engineering team has a huge impact on our product and our company. Since we first launched our content distribution platform, we've grown to support millions of users who are engaging with over 400 million+ monthly unique visitors on Quora. Our journey is just beginning as we continue to build new products from the ground up and tackle exciting challenges at scale. Today, we're working on a broad range of areas to grow our content product to drive more value to our users. As a member of the Recommender System team, you will have a chance to work with a diverse and talented global team of engineers and collaborate closely with cross-functional partners to help users get the right content at the right time and build a stronger connection between Quora users and its knowledge base.Responsibilities:Improve our existing machine learning systems using your core coding skills and ML knowledgeTake end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systemsApply state-of-the-art machine learning algorithms at scale and serving for next-generation ad recommendation systems that directly impact the company’s top line metricsCollaborate with ML platform and product engineers to build scalable and efficient machine learning systems in the production environmentImprove the design of recommender modelWork with product and business teams on new innovative features for recommender systems to optimize user and advertiser performanceIdentify new opportunities to apply machine learning to different parts of the Ads product to drive value for our users and advertisersMinimum Requirements:Availability for meetings and impromptu communication during Quora's “coordination hours"" (Mon-Fri: 9am-3pm Pacific Time)3+ years of professional software development experience in machine learningPrevious experience building large scale ranking/recommendation systemsGood understanding of mathematical foundations of machine learning algorithmsHighly proficient coding ability writing Python, C++ or Golang codeBS, MS or PhD in Computer Science, Engineering or a related technical fieldPreferred Requirements:Experience with leading large-scale multi-engineer projectsFlexible and positive team player with outstanding interpersonal skillsPassion for Quora's mission and goalsAt Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.Additional Information:We are accepting applications on an ongoing basis.Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefitsThere are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.US candidates only: For US based applicants, the salary range is $170,472 - $252,439 USD + equity + benefits. Canada candidates only: For Canada based applicants, the salary range is $166,632 - $264,379 CAD + equity + benefits. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice",Mid-Senior level,"Machine Learning Engineer - Recommendation System, Quora (Remote)"
+542,2024-12-16,Boston,Massachusetts,Givzey,https://www.givzey.com/,Givzey's standalone Gift Agreement Platform empowers fundraisers to formalize and book gift commitments in seconds.,"We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity to shape and create our machine learning capabilities from the ground up. You'll be at the forefront of innovation, designing and implementing ML systems that drive our business forward.ResponsibilitiesDesign, develop, and implement machine learning models and algorithmsAnalyze large datasets and extract meaningful insightsCollaborate with cross-functional teams to integrate ML solutions into existing systemsOptimize ML models for performance and scalabilityStay current with the latest advancements in machine learning and AICreate and implement big data processing pipelines and architecturesDesign and build scalable data infrastructure to support ML applicationsRequirementsBachelor's or Master's degree in Computer Science, Data Science, or related field3+ years of experience in machine learning or AI developmentStrong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)Solid understanding of machine learning algorithms and statistical modelingExperience with big data technologies (e.g., Hadoop, Spark, Kafka)Proven ability to create and implement big data solutions from scratchComfortable setting up and managing distributed computing environmentsExperience in designing and implementing data pipelines for large-scale data processingProficient in working with various database systems, both SQL and NoSQL, depending on the use caseStrong skills in data modeling and database design for machine learning applicationsExcellent problem-solving and analytical skillsStrong communication skills and ability to work in a team environmentPreferred QualificationsExperience in creating and managing real-time data streaming architecturesAWS Certified Machine Learning - Specialty or AWS Certified Big Data - SpecialtyExperience with AWS machine learning servicesProficiency in using AWS big data servicesKnowledge of serverless architectures on AWS (e.g., Lambda)Experience in creating and managing real-time data streaming architectures on AWS (e.g., Kinesis)Understanding of AWS security best practices for machine learning and data processing workflowsWhat You’ll Do Day-to-dayBe a member of a world-class team focused on inventing solutions that have the ability to impact the worldTackle a wide variety of technical problems throughout the stack and contribute daily to all parts of our product code baseHelp build a beautiful, intuitive product that revolutionizes the nonprofit industryWork closely with our customers, founders, team members and Board to understand customer pain points, develop solutions, and prototype, iterate, and deploy code on regular cycles",Entry level,Machine Learning Engineer
+543,2024-11-25,Philadelphia,Pennsylvania,Treeswift,https://treeswift.com/,"Treeswift empowers utilities with AI-augmented vegetation management that reduces risk and improves reliability across transmission and distribution systems. Treeswift’s backpack and vehicle-mounted sensors seamlessly integrate into existing patrols to gather imagery and LiDAR data. Treeswift’s AI translates this data into actionable analytics and 360° field context for encroachment, strike potential, and failure risk via its software platform for vegetation management experts, arborists, and tree crews. Treeswift was founded in 2020 by a team of AI and robotics PhDs at the University of Pennsylvania.","About Treeswift:Treeswift is revolutionizing decision-making for critical energy infrastructure in the face of rising threats like severe storms and wildfires.After cutting our teeth developing AI models for forests in the timber sector, we are growing rapidly in the utility sector. In the U.S. alone, hundreds of thousands of miles of transmission lines and millions of miles of distribution lines need to be monitored and managed to reduce hazards, such as encroaching vegetation, that can cause outages or fires. With the rapid growth of renewable energy this infrastructure footprint is expected to more than double in the coming years creating more assets to defend than ever before.Treeswift’s mission is to deliver effective scalable technology to manage large-scale distributed infrastructure, starting with managing the risks posed by vegetation surrounding these assets. We do so by innovating across the technical stack. LiDAR and imagery data is collected by our sensor packs mounted on backpacks and vehicles to seamlessly integrate into customer operations. We then leverage AI (i.e. computer vision, etc…) to transform this data into actionable insights delivered to decision-makers in our software platform.We are early in our journey and focused on finding ground truth by working closely with our customers and using this understanding to deliver real value to our customers. To tackle this challenge we have brought together mission-driven robotics experts from top academic institutions (Penn, Caltech, etc…) and professionals with deep industry experience (Palantir) in enterprise software development. We hope you’ll join us.About the Role:Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our mission to increase the resilience of our energy systems. We are looking for an exceptional candidate with a proven track record of training and deploying models in a commercial setting.This is a full-time, hybrid/2-day a week in person role, with a strong preference for candidates based out of our NYC or Philadelphia office.Key ResponsibilitiesDevelop machine learning models that revolutionize our customers’ businesses. Treeswift develops machine learning algorithms that upend the cost and accuracy of vegetation management for energy infrastructure. In this role you will be responsible for bringing innovative ideas and rapid execution to new and existing models. In the course of development, you will collaborate closely with other teams (product, operations etc…) and have an opportunity to interact with end-users. Our machine learning model development focuses on two primary areas: (a) LiDAR point cloud models to classify and segment landscapes and infrastructure and (b) image models to derive vegetation attributes such as species and health. Create a best-in-class feedback loop to accelerate model development. You will improve Treeswift’s ability to assess model performance and adapt to new operating conditions at scale. Treeswift’s cutting edge model development involves significant investment in a proprietary dataset to train our models. Help Treeswift scale. In this role you will be expected to bring prior experience with commercial machine learning model development and deployment to help Treeswift cost-effectively scale its technology to serve a growing number of customers and use cases. You will be responsible for enabling effective collaboration on model development within the engineering team, and you will contribute to efforts to ensure reliable and robust performance of models in production. Required SkillsProven track record of training and deploying machine learning models at scale for commercial use cases. Experience in segmentation and object detection of point cloud data or image data. Experience creating, curating, and cleaning training datasetsStrong programming skills in Python Expertise in deep learning libraries such as PyTorch, TensorFlow, or similar. Excellent problem-solving and analytical abilities. Exceptional communication and collaboration skills. Preferred SkillsExperience with semantic mapping. Experience with image processing techniques and computer vision fundamentals. Experience with one or more of: Sensor Fusion, SLAM, Visual Odometry. Building and using cloud-based training and inference pipelines. 5+ years of professional experience or 3+ years with an advanced degree. Experience with deep learning training frameworks such as MLflow, Lightning, Weights and Biases, or similar. What We ValueMission first. We value low ego team members who focus on working towards the best outcomes for the customer and the business, regardless of who gets the credit. Truth seeking. We don’t always have perfect information to make decisions, but we seek to constantly get closer to the ground truth and aren’t afraid to learn we were wrong in the process. Owners mindset. If you see an opportunity for improvement, run with it. We believe that good ideas can come from anywhere, no matter your role. BenefitsComprehensive medical, dental and vision insurance Life insurance package and disability coverage Stock optionsPaid leave for new parents Unlimited PTO401KSalaryThe estimated salary range for this position is $160,000-$180,000. Total compensation for this position is determined by skills, qualifications, relevant work experience, location, and other factors. This salary estimate excludes the value of any potential bonuses; the value of any benefits offered; and the potential future value of any long-term incentives. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.Treeswift is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.",Mid-Senior level,Software Engineer - ML
+544,2025-04-07,Tokyo,,Sony,https://www.sony.com/en/,"Sony’s purpose is simple. We aim to fill the world with emotion, through the power of creativity and technology. We want to be responsible for getting hearts racing, stirring ambition, and putting a smile on the faces of our customers. That challenge, combined with our spirit of innovation, motivates us to create groundbreaking technology, entertainment, and services for people worldwide. 
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+Our history as a global brand has been built around employees that all have a passion for touching peoples'​ lives, and pride in pushing beyond the status quo to produce truly extraordinary results.
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+We’re uniquely positioned because we operate in many different industries - from movies and music to video games and electronics. And, with offices around the globe, we benefit from a global workforce that learns and grows together through mutual respect. 
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+If you're ready to join a diverse team at an innovation-led company with the power to change lives, then we encourage you to read up on the different Sony group companies and check out our Life page. Then, get in touch, and together, let’s make the world say wow.
+","Sony Corporation of America, located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: www.sony.com/en.Position SummarySony is seeking a Data Scientist I to join Sony’s Corporate Information Security Division. This position will report to the Director of Risk Analytics and be a part of the team responsible for designing, implementing, and maintaining a Global Information Security Risk Analytics platform used to provide information security risk intelligence to Senior Leadership and monitor the confidentiality, integrity, and availability of Sony assets.You’ll work across the global information security team to understand the unique problems and constraints, then dig into the data-rich environment to find the pieces of the puzzle. You’ll write scripts, build predictive analytics, automate processes, apply machine learning techniques, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help leadership make informed decisions.Job ResponsibilitiesDevelop a comprehensive knowledge of the business to derive data science project requirements. Gather information, business goals, priorities, and organizational context around the questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.Design and evaluate models to mathematically express and solve defined problems with limited precedent.Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.Analyze large amounts of data/information to discover and articulate trends and patternsBuild predictive models and machine-learning algorithmsDevelop conclusive insights using statistical methods.Make and defend arguments using data and data-based insight. Explain solutions in a non-technical mannerMentor other team membersQualifications For PositionYour qualifications and experience should include: Required3+ years of applied work experience in data science, machine learning, or a related fieldHands-on experience processing and analyzing large datasetsProficiency with relational database (SQL) and programming/scripting (Python or R)Strong applied statistics skills, such as distributions, statistical testing, regression, etc.Knowledge of machine learning, statistical modelling, and predictive analyticsAbility to tackle ambiguous and undefined problemsMotivated and self-directed, demonstrated ability to innovateAbility to communicate and discuss complex topics with technical and non-technical audiencesPreferredBachelor’s degree in Computer Science, Statistics, Data Analysis, Mathematics, or a related fieldExperience in information security or ITExperience with data engineeringExperience with data visualization tools and dashboard developmentQualities Of Ideal CandidateInterested in exploring data and engaging with stakeholdersAble to adapt to dynamic work environment and prioritize tasks accordinglyExcellent problem-solving skillsStrong attention to detailResourceful and able to thrive in a dynamic environmentIn addition to competitive pay and benefits, we offer an environment and culture that promotes Diversity, Equity, and Inclusion. We are committed to creating an inclusive employee experience for you to thrive as part of Sony’s purpose to “fill the world with emotion through the power of creativity and technology”.Benefits:   SCA offers benefits-eligible employees (generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family’s physical, emotional, and financial well-being.   What We Offer YouComprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA)  Employee assistance plan and comprehensive behavioral health benefits Fertility benefits, including surrogacy, and adoption assistance programs   Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children  Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance  Short-term & long-term disability plans   Paid parental and caregiver leave   401(k) Plan with pre-tax, Roth, and after-tax options and company match with immediate vesting Education assistance and student loan programs     Other Programs: Flexible Work Arrangements, including remote and hybrid work schedules Time off to include vacation, paid holidays, sick leave, Summer Fridays (early release), and a winter break between Christmas and New Year’s Day (based on business needs) Referral bonuses (subject to eligibility)   Matching gift program   A wide variety of employee business resource groups (EBRGs)   Special discounts on Sony products, offered exclusively to Sony employees Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions)   Annual incentive bonus The anticipated annual base salary for this position is $140,000 to $155,000. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Sony is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), gender, national origin, citizenship, ancestry, age, physical or mental disability, military status, status as a veteran or disabled veteran, sexual orientation, gender identity or expression, marital or family status, genetic information, medical condition, or any other basis protected by applicable federal, state, or local law, ordinance, or regulation.Disability Accommodation for Applicants to Sony Corporation of AmericaSony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.EEO is the LawEEO is the Law SupplementRight to Work (English/Spanish)E-Verify Participation (English/Spanish) While SCA does not require employees to be vaccinated against COVID-19, there are certain Sony offices that require employees to be vaccinated in order to enter. If you will be located at or travel to those offices, you will be required to be fully vaccinated to enter. The Company will consider requests for reasonable accommodations for documented medical reasons and for sincerely held religious beliefs in accordance with applicable law. Please do not include proof of vaccination status or any indication of a possible request for a vaccination accommodation when submitting your application materials. If applicable, the Company will follow up with you directly to request proof of vaccination and to discuss any potential accommodations.",Mid-Senior level,Data Scientist I
+545,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:Join the E-commerce Global Supply Chain and Logistics team at TikTok! We're enhancing the shopping experience and reducing logistics operational costs. We are seeking brilliant and motivated graduate software engineers, who are eager to apply their knowledge in machine learning (ML), operations research (OR), data mining, and statistical inference to real-world challenges.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Contribute to developing innovative deep learning and statistical models for efficient e-commerce logistics and ETA predictions. Harness data mining tools to construct logistics network knowledge graphs, contributing to a robust early warning system. Participate in crafting advanced predictive models for express package trajectories to improve network dynamics understanding and service accuracy. Assist in creating an optimized Service Network Design (SND) model to facilitate the smart expansion of our logistics operations. Support the design and implementation of predictive models for various logistics events, contributing to overall service improvement and cost savings.QualificationsMinimum Qualifications: Master's degree in Computer Science, Engineering, Operations Research, or related fields. Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline Strong understanding of data structures and algorithms, with excellent problem-solving ability. Strong understanding of applied machine learning and Big Data tools. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.Preferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications Internship experience or research experience, especially in e-commerce, supply chain, logistics, and transportation. Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI. Curiosity towards new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilitiesTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) - 2025 Start (MS)
+546,2025-03-27,"Provo, UT and Seattle, WA",,Qualtrics,https://www.qualtrics.com/,"At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 19,000 clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. That’s where we come in. 
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+Founded in 2002, our company has spent over 21 years working with the industries that impact you every day. From retail to government to healthcare, we’ve been on a mission to bring humanity, connection, and empathy back to business. It’s a mission that thousands of Qualtricians across the globe think is work worth doing.
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+Mission: At Qualtrics, our mission is to build technology that closes experience gaps.","At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.Machine Learning Engineer IIWhy We Have This RoleWe are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!How You’ll Find SuccessWork in a supportive environment enables individual growth and achievement of team goalsCollaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customersDevelop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning modelsImplement new features and optimize existing ones to delight our customersHow You’ll GrowWork in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing businessBuild and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.Things You’ll DoWork closely with, and incorporate feedback from other specialists, tech-ops, and product managersLead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacityAttend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customersFinding quick ways to prototype and test possible solutions to large problemsWhat We’re Looking For On Your ResumeBachelor’s degree in Computer Science or related fields.2-5 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.Strong Computer Science fundamentals in algorithm design, complexity analysis, and performanceExperience with data preparation and manipulation for high quality model resultsExperience building and representing data models. Single and Mutli factExperience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented designExperience with applied machine learning models and large-scale ML systemsWhat You Should Know About This TeamThe Insights Generation team strives to create the highest-quality and most accurate insights for Qualtrics customers. We leverage all methodologies and look to build/consume new data assets that will improve insight quality to a class-leading level. We also work heavily with text and omnichannel data to incorporate human feedback into our insights.Our engineers collaborate closely with platform teams to ensure our products are tightly integrated and consistent with core platform behavior while having the flexibility to choose our architecture and the independence to quickly deliver on our business vision. The team’s focus on class-leading insights and customer value offers a fantastic opportunity to drive your career development and build a strong foundational understanding across Qualtrics systems.Our Team’s Favorite Perks And Benefits$1800 Experience bonus to be used for an “Experience” of your choosingUnlimited Sick DaysWe spend 10% of our time on individual engineering growth activities every quarterAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection ActQualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.Washington State Annual Pay Transparency Range$136,000—$257,000 USD",Entry level,Machine Learning Engineer II - Data and Insights
+547,2025-04-02,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is seeking a highly skilled Machine learning SOC Engineer with experience in Runtime and firmware development. As a key member of our engineering team, you will be responsible for designing, developing, and maintaining the host runtime, device drivers, APIs, and libraries to enable seamless interaction between the host runtime environment and various processing units. Your experience will enable us to streamline our Architecture validation and ensure the optimal performance of our AI Accelerator.Machine Learning SOC Engineer Responsibilities:Design and develop the host runtime environment for heterogeneous computing systems, ensuring efficient communication and data transfer between different processing units.Develop and implement device drivers, APIs, and libraries to enable seamless interaction between the host runtime environment and various processing units.Collaborate with hardware engineers to understand the architecture of heterogeneous computing systems and optimize the host runtime environment accordingly.Work closely with application developers to ensure that the host runtime environment meets their requirements and provides optimal performance for their applications.Participate in code reviews, and stay up-to-date with industry trends and emerging technologies.Troubleshoot and debug issues, working closely with hardware engineers and application developers to resolve problems.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.3+ years of experience in development in the area of heterogeneous computing or high-performance computing.Programming skills in languages such as C++, Rust, and Python.Experience with runtime development, device driver development, API design, and library implementation.Problem-solving skills to analyze complex technical issues and develop effective solutions.Communication and collaboration skills to work effectively with cross-functional teams.Preferred Qualifications:Knowledge of computer architecture, operating systems, and parallel programming models (e.g., OpenMP, MPI).Familiarity with heterogeneous computing platforms, such as NVIDIA CUDA, OpenCL, or AMD ROCm.Experience with object oriented, trait oriented and functional programmingKnowledge of machine learning frameworks, such as TensorFlow or PyTorch.Experience with agile software development methodologies and version control systems, such as Git, Mercurial.Familiarity with modern build tools like Bazel, Buck, CMake etc.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$142,000/year to $203,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,Machine Learning SOC Engineer
+548,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOur team's mission is to empower content understanding in TikTok businesses. Computer vision and natural language processing are important dimensions in video content understanding. We are working on cutting-edge content understanding topics including weakly-supervised learning, few-shot classification, video tagging, multi-task learning, multi-lingual learning, multi-modality pretraining, etc. As a content understanding team on the business side, we try to succeed in both achieving business metric gains (recommendation metrics), and also producing state-of-the-art research outputs.Responsibilities Conducting development and research on cutting-edge CV, NLP, multi-modality and recommendation topics Following SoTA progress in relevant fields and transform the ideas into production Life-cycle model development, from model training, deployment, maintenance, till its use in business scenariosQualifications Experience in one of more areas of computer vision, natural language processing and machine learning Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow, MXNet, Caffe/Caffe2) Familiar with deep neural network architectures such as transformer/SSM/CNN/RNN/LSTM etc Strong analytical and problem solving skills Ability to work collaboratively in cross-functional teamsPreferred Qualifications: Degree in computer science, electrical engineering or related fields Authors with publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLRTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at gprd.accommodations@tiktok.com.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $126000 - $221760 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Content Understanding"
+549,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our Trust and Safety engineering team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace the state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.We are looking for excellent machine learning engineers who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. A successful candidate will have machine learning expertise and good software engineering experience. And you will take pride in working with engineers, product managers and business partners to identity and solve the most challenging safety and integrity problems in the internet scale.Responsibilities - What You'II Do Play an important role in building the trust and safety machine learning model Work on highly-scalable classifiers, predictive models and algorithms in big data mining, computer vision, NLP and other domains Work with engineering teams to implement model pipeline and deploy the service at scale Collaborate with product team to define objectives and improve trust and safety strategy Collaborate with data analyst to understand and find data patternsQualificationsMinimum Qualifications This opening is for both entry level and senior level. Minimum requirement is a BS degree with 2+ years’ industrial experience, or a MS/PhD degree with 1+ years' relevant experience Hands on experience in one or more of the areas: machine learning, deep learning, pattern recognition, anomaly detection, data mining, computer vision, NLP or content understanding Good programming skills in Python and similar languages, and a deep understanding of data structures and algorithms Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems Experience in trust and safety is a plusTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $355000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - Trust and Safety
+550,2025-03-21,New York,,Baselayer,Baselayer.com,"Baselayer empowers over 2,000 financial institutions and government agencies to trust the small and medium-sized businesses they serve. 
+
+We use proprietary machine learning to search government records, the web, and private databases to answer questions about Compliance, Risk, or Fraud about any business in the United States.
+
+Our solution suite includes tools for identity verification (Know Your Business), enhanced due diligence, fraud prevention, risk profiling, lien filing, and portfolio monitoring. Our platform also offers unique credit stacking capabilities and an advanced repeat fraud prevention system.
+
+Baselayer is integrated into companies with over 30 million accounts, rating and verifying real-time applications. 
+
+Baselayer.com","About Baselayer: With experience across far-ranging banks, Fortune 500 tech co’s, fintech unicorns 🦄, and AI experts, Baselayer is built by financial institutions, for financial institutions. Started in 2023 by experienced founders Jonathan Awad and Timothy Hyde, Baselayer has raised $20 Million and hit $2 Million in ARR faster than any other identity company in history. Today more than 2,000 Financial Institutions and Government Agency customers later, Baselayer is revolutionizing the way businesses approach fraud prevention and compliance. 🏆Check out their press release here → https://baselayerhq.com/press/About You: You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win—you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions.You have 1-3 years of experience in machine learning development, working with Python and building ML modelsYou're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systemsYou have a strong foundation in AI/ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniquesYou prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYBYou have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performanceYou thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstractionProblem-solver who navigates the unknown confidentlyProactive self-starter who thrives in dynamic settingsIncredibly intelligent and clever. You take pride in your modelsHighly feedback-oriented. We believe in radical candor and using feedback to get to the next levelResponsibilitiesModel Development & Integration: Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM spaceML System Design: Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use casesData Processing & Feature Engineering: Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional dataAdvanced ML Techniques: Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity spaceML Infrastructure: Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued innovationModel Governance & Compliance: Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulationsPerformance Optimization: Implement optimizations for model inference and training, ensuring ML services can efficiently process identity data while maintaining reliabilityExperimentation & Evaluation: Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use casesBenefitsHybrid in SF. In office 3 days/weekFlexible PTOHealthcare, 401KSmart, genuine, ambitious teamStart date: JuneSalary Range: $150k – $225k + Equity - 0.05% – 0.25%",Entry level,Machine Learning Engineer
+551,2025-04-02,Woonsocket,RI,CVS Health,http://CVSHealth.com,"CVS Health is the leading health solutions company, delivering care like no one else can. We reach more people and improve the health of communities across America through our local presence, digital channels and over 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. 
+
+Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day. Follow @CVSHealth on social media. ","At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position SummaryIf you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.As a Machine Learning Engineer, you will design, develop, and operationalize highly complex and large-scale Machine Learning Solutions on the Google Cloud Platform. In addition to the traditional machine learning toolset, you will work with large language models, vector stores, deep learning, and other advanced tools to handle, analyze, and generate insights from large volumes of data.You will be working with a mature data science organization at a Fortune 6 company. You will be responsible for operationalizing the analytical workloads and ML Pipelines using GCP AI/ML Services to support traditional ML use cases, as well as NLP, NLM, audio or image processing. You will support the deployment of advanced algorithms and applications, follow architecture and engineering best practices, and deliver software that is well documented, error free, scalable and performance optimized.As a Machine Learning Engineer, You WillDevelop and implement machine learning models using appropriate algorithms and techniques. This includes model selection, training, tuning, and evaluation.Design, develop, and deploy scalable and high-performance data pipelines using GCP services (e.g., Dataflow, Dataproc, Pub/Sub, BigQuery, Cloud Storage)Use software development best practices like code review, continuous integration, and continuous delivery (CI/CD), release management, and version control.Develop and maintain data quality checks and monitoring systems to ensure data accuracy and completeness.Collaborate with data scientists and machine learning engineers to optimize data for model training and inference.Build and maintain data infrastructure for AI/ML workloads, including feature stores, model registries, and experiment tracking systems.Automate data pipelines and infrastructure using tools like Apache Airflow or similar orchestration platforms.Troubleshoot and resolve data-related issues and performance bottlenecks.Stay up to date with the latest advancements in data engineering, cloud computing, and AI/ML technologies.Work to enhance existing test automation processes, improving efficiency, and reducing manual intervention across environments.Partner with teams and serve as cross-functional expert to provide bench-marked solutions to multiple, complex technical projects/initiatives using multiple interlocking technologies.Implement data quality checks and monitoring to ensure data accuracy and reliability for model training and prediction.As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.Required Qualifications1+ years of experience with one or more modern languages, such as Python, Java, etc.1+ years of experience with common ML libraries (i.e. Scikit-learn, XGBoost, NumPy, Keras, PyTorch, etc.) and ML algorithms (i.e. clustering, decision trees, boosting, etc.)1+ years of experience with developing Analytical pipelines (using languages such as SQL and PySpark) against Cloud Data Warehouses such as BigQuery, Snowflake or RedshiftPreferred QualificationsExperience with complex systems and solving challenging analytical problemsEffective written and verbal communication skillsExperience with ML operationalization and data and model lifecycle managementExperience deploying and monitoring analytical assets in batch/real-time business processesExperience in cloud environments (GCP preferred): bucket storage, BigQuery, Kubeflow, DataProc, VertexAI, DataFusionUnderstanding of DevOps principles and tools (such as GitHub, Jenkins, Circle CI, Argo CD, Artifact Registry, Nexus)Experience in developing distributed data processing pipelines using libraries like Apache Spark or Beam.Understanding of dependency management and containerization of applications supporting analytical workloads (i.e. Dockers, GKE)Exposure to developing RESTFUL APIs against enterprise data assets and features to support real time operational ML pipelines. Experience with FastAPI or Flask is preferred.Experience in data visualization tools and librariesFormal SAFe and/or agile experience. Previous healthcare experience and domain knowledgeEducationBachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred.Anticipated Weekly Hours40Time TypeFull timePay RangeThe Typical Pay Range For This Role Is$72,100.00 - $173,040.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great Benefits For Great PeopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.For more information, visit https://jobs.cvshealth.com/us/en/benefitsWe anticipate the application window for this opening will close on: 05/26/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.",Entry level,Machine Learning Engineer
+552,2025-04-09,New York,NY,thrively,https://thrivelytalent.com,"Thrively exists out of a conviction that organizations need strong recruiting and HR partners like never before. We are a team of seasoned professionals who have all held senior leadership positions, sat on executive teams, and worked closely with boards. We’ve had to navigate scaling up quickly and scaling down. In a post-pandemic era we understand the stress that is placed on business leaders. Talent is demanding more work flexibility and authenticity from their leaders than ever before while leaders are feeling the demand from investors to stay lean and get to and maintain profitably. It’s no longer growth at all costs and everyone is trying to adjust. We know how to partner with leaders in this new dynamic to ultimately put the right talent in the right roles at the right time.
+","Our client, a fast-growing tech startup backed by top-tier investors, is on a mission to transform how small businesses leverage technology to grow and operate. They are building AI-powered tools and digital infrastructure to support home service professionals—from roofers to landscapers and everything in between.As the company continues to scale, they’re looking for a talented AI Engineer to join their Boston-based team. This is a rare opportunity to have a meaningful impact on a growing product and work alongside a high-caliber, collaborative engineering team.⚡ What You’ll Do:Enhance AI Agent and Chat Capabilities: Develop AI-powered assistants that help customers run their businesses more effectively.Deploy & Scale AI Features: Build infrastructure and pipelines to support real-time AI interactions in a production environment.Experiment & Iterate: Prototype new AI applications, evaluate their performance, and continuously improve based on user feedback.Collaborate Across Teams: Work closely with engineering, product, and design leaders to shape product strategy and execution.🎯 What We’re Looking For:2+ years of experience in AI, ML, or NLP-related roles (and/or 5+ years as a software engineer)Strong problem-solving skills and a bias for action in ambiguous, fast-paced environmentsHands-on experience with OpenAPI, embeddings, vector databases, and retrieval-augmented generation (RAG)Familiarity with LLMs, prompt engineering, fine-tuning, and evaluation strategiesExperience deploying AI models into production environments (real-time systems, cloud APIs, etc.)Passion for building alongside empowered product and design teamsProficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging FaceBonus: Experience with Django, PostgreSQL, and modern frontend frameworksStrong communication and collaboration skillsA team player with curiosity, humility, and a great sense of humor🙌 What They OfferCompetitive compensation package with equityUnlimited vacation policy, 9 company holidays, and 1 volunteer day per yearComprehensive health, dental, and vision insurance401(k) planA fun, close-knit team that values building great products—and enjoying the ride",Mid-Senior level,AI Software Engineer
+553,2025-04-01,Palo Alto,California,Inflection AI,https://inflection.ai,"Inflection AI is a public benefit corporation leveraging our world class large language model to build the first AI platform focused on the needs of the enterprise. 
+
+Inflection AI was re-founded in March of 2024 and our leadership team has assembled a team of kind, innovative, and collaborative individuals focused on building enterprise AI solutions. We are an organization passionate about what we are building, enjoy working together and strive to hire people with diverse backgrounds and experience. 
+
+Our first product, Pi, provides an empathetic and conversational chatbot. Pi is a first public instance of building from our 350B+ frontier model with our sophisticated fine-tuning (10M+ examples), inference, and orchestration platform. We are now focusing on building new systems that directly support the needs of enterprise customers using this same approach
+
+Want to work with us? Have questions? Apply to job below or reach out to us with questions! ","Software Engineer (Backend, ML)Inflection AI is a public benefit corporation leveraging our world class large language model to build the first AI platform focused on the needs of the enterprise.Who we are:Inflection AI was re-founded in March of 2024 and our leadership team has assembled a team of kind, innovative, and collaborative individuals focused on building enterprise AI solutions. We are an organization passionate about what we are building, enjoy working together and strive to hire people with diverse backgrounds and experience.Our first product, Pi, provides an empathetic and conversational chatbot. Pi is a public instance of building from our 350B+ frontier model with our sophisticated fine-tuning (10M+ examples), inference, and orchestration platform. We are now focusing on building new systems that directly support the needs of enterprise customers using this same approach.Want to work with us? Have questions? Learn more below.About The RoleAs a Member of Technical Staff, Backend Engineer, you will be instrumental in unblocking critical projects and developing robust backend services. You’ll work primarily in Python and TypeScript/Node to build and maintain the tools and systems that power our inference pipelines, data tools, and security frameworks. While deep ML expertise isn’t required, a willingness to learn and a basic familiarity with ML workflows will be highly valued.This is a good role for you if you:Have strong backend engineering experience, particularly in Python and/or TypeScript/Node.Are comfortable developing reliable, scalable backend systems that can integrate with diverse technology stacks.Enjoy solving programming challenges and are eager to expand your knowledge of ML-related infrastructure.Are a proactive problem solver who can work independently while collaborating effectively with cross-functional teams.Believe in the impact of robust backend infrastructure on the success of enterprise-grade AI solutions. Responsibilities include:Designing, developing, and maintaining backend services and tools to support our ML inference pipelines, data tools, and security systems.Collaborating with teams across the organization to integrate backend solutions seamlessly with our front-end and ML components.Ensuring high levels of scalability, reliability, and security in the systems you build.Participating in code reviews, testing, and documentation efforts to maintain our high-quality software standards.Continuously learning about ML workflows and contributing innovative ideas to further enhance our AI platform.",Mid-Senior level,"Software Engineer (Backend, ML)"
+554,2025-04-03,Tampa,Fl,Kforce Inc,https://kfrc.co/4cjVXax,"Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers industry-leading companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise.
+
+Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®","ResponsibilitiesKforce has a client that is seeking a Data Scientist in Brooklyn, NY. Summary: We are looking for a Data Scientist to help optimize customer interactions with our vast catalog of unique items. You will work with analytics, machine learning, and product teams to ensure data accuracy, develop visualizations, analyze trends, and drive data-driven decisions. Duties Include: Build dashboards and reports in Looker to track key metrics Develop and maintain data rollups for reliable reporting As a Data Scientist, you will conduct ad-hoc analysis using SQL and BigQuery Analyze A/B test results to measure impact Collaborate with cross-functional teams to translate data into strategyRequirements Experience with Looker, SQL, and Python or R Strong data visualization and analytics skills Ability to ensure data accuracy and accessibilityNice-to-Haves: Experience with clickstream data, A/B testing, and marketplaces Proficiency in LookML and statistical conceptsThe pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.This job is not eligible for bonuses, incentives or commissions.Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.",Associate,Data Scientist
+555,2024-10-15,Frisco,Texas,Adroit Innovative Solutions Inc,https://www.adroitinnovative.com/,"Adroit Innovative Solutions is a US-based IT Consultancy & Services company. We are committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — put clients first, do the right thing, lead with exceptional ideas, commit to diversity and inclusion.
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+
+Adroit has worked on providing highly valued solutions in field of Data Engineering, Digital Transformation, Salesforce, IT Staffing, Resource Planning and Application Managed Services. 
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+Our solutions are helping businesses across continents, serving more than 100 industries and their verticals. ","Job title: Machine Learning EngineerLocation :- Philadelphia, PA, or Washington, DC (Hybrid)Visa: ANYExp:5+ YEARSPlease Find the Below Requirement If You’re Interested, Please Share Me your Updated Resume To rakeshmanda@adroitinnovative.comJob DescriptionRequired Skills:Design, build, and deploy machine learning models within the proposed platform, ensuring they are optimized for performance and scalability.Collaborate with Data Scientists and Data Engineers to implement feature stores, model management (MLOps), and Explainable AI (XAI) capabilities.Monitor and optimize the performance of deployed models, ensuring they meet business requirements and performance standards.Support model management, versioning, and deployment workflows to streamline the operationalization of machine learning models.Engage directly with customers to understand their business problems and help implement tailored ML solutions.Deliver Machine Learning projects end-to-end, including understanding business needs, planning projects, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud to deliver business impact.Utilize deep learning frameworks like PyTorch and TensorFlow to build computer vision models for versatile applications.Work on large-scale datasets, creating scalable, robust, and accurate computer vision systems.Collaborate with Cloud Architects to build secure, robust, and easy-to-deploy cloud-native machine learning solutions.Work closely with customer account teams and product engineering teams to optimize model implementations and deploy cutting-edge algorithms.Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring.Apply best practices from core Software Development activities to Machine Learning, including deplorability, unit testing, and structured, extensible software development.Preferred QualificationsProven experience in building and deploying machine learning models at scale.Proficiency with deep learning frameworks like PyTorch and TensorFlow.Experience with cloud-native machine learning solutions, preferably on AWS.Experience with DatabricksExperience with Agile MethodologyStrong understanding of MLOps workflows, including model management.Ability to work independently and collaboratively with cross-functional teams.",Entry level,Machine Learning Engineer
+556,2025-03-28,San Francisco,California,Perplexity,https://www.perplexity.ai,The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.,"Perplexity is seeking experienced Applied AI&ML Engineers to help build next generation of personalization experience. In this role, you'll focus on improving user happiness on Perplexity by making the content highly relevant, personal and inspiring.ResponsibilitiesArchitect and build the next generation of personalization platform and models which serves as the foundation of highly personalized Perplexity user journeyBuild effective data and models for LLM content and convert them into personalized ML signals which drives customized recommendationWork across stack to deliver various types of models (LLM to DNN) to end users in a scalable and performant way\Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end usersQualificationsStrong programming skills with the ability to work across the stack in a typical recommendation system or LLM stackExperience in training DNN and Transformer architecture modelsExperience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideasUnderstands how to make tradeoffs in using different modelsSelf-motivated with a willingness to take ownership of tasksA passion for shipping quality products4+ years of industry experienceThe cash compensation range for this role is $200,000 - $280,000.At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine just over a year ago. Our AI-powered search assistant has amassed 10 million monthly active users as of early 2024, with our mobile apps installed over 1 million times across iOS and Android devices. In 2023 alone, we served over 500 million queries from users around the globe.To support our rapid expansion, we've raised significant funding from some of the most respected investors in technology. In January 2024, we raised $73.6 million in a Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks, and other prominent firms. We followed that up with a $62.7 million Series B1 round in April 2024 led by Daniel Gross, valuing Perplexity at over $1 billion.Our prominent investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals.Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.Equity: In addition to the base salary, equity is part of the total compensation package.Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.",Entry level,AI Machine Learning Engineer - Personalization - SF
+557,2025-03-24,London,England,Storm2,https://www.storm2.com,"Storm2 are the leaders in FinTech recruitment, connecting organisations with the talent to drive their mission. 
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+Storm2 was launched in 2019 when we identified a need for specialist talent within a hyper growth sector. We have a unique understanding of our clients, having achieved over $11m in investment since launch, and scaling quickly across the US.
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+We take a micro niche approach to FinTech recruitment, with each of our expert consultants solely operating in one of the key verticals needed to scale a FinTech: Engineering, DevOps, Commercial, Risk, Compliance, Product Management, Finance & Operations. This means that each of our consultants has the richest network of FinTech professionals in the market.
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+We are the leading provider of FinTech-focused information to clients for market compensation and best practice in diversity, hiring and retention.
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+Our mission is to be the recruitment arm of the FinTech industry, connecting the very best senior FinTech talent with innovative businesses worldwide. 
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+Storm2 is a trading division of Levin.","Job Title: Machine Learning Engineer Location: Remote Employment Type: Full-time Reports to: CTOWe are looking for an experienced and highly motivated Machine Learning Engineer to join our clients team. They are a fast-growing, well-funded startup developing AI-powered tools for financial professionals. About the Role: As a Machine Learning Engineer, you will:Design, develop, and maintain machine learning systems, including generative AI, speech recognition, and language modeling workflows.Collaborate with other developers to integrate these models into production environments.Develop and maintain unique data sets for both internal and external use.Stay up to date with industry advancements and explore new model innovations.About You: We’re looking for engineers who align with our startup culture and share our core values:Driven by curiosity and a passion for delivering meaningful value to customers.Committed to building high-quality tools and paying attention to every detail.Dedicated to writing clean, maintainable code that empowers the team.Thrive in a collaborative environment with minimal bureaucracy.Adaptable, comfortable with taking on different roles and learning new technologies.Understand that working at a startup sometimes requires flexibility in hours and responsibilities.Prioritize initiative and getting things done over rigid processes.We believe the best communicators are those who teach with empathy, align teams, and drive them to accomplish more quickly. If you are excited by the opportunity to join a mission-driven team, help build something transformative, and position yourself within a leading company, we’d love to connect.Highlighted Benefits:Fully remoteCompetitive salary100% company-covered medical, dental, and vision insuranceWell-funded Health Savings Account (HSA)401k and equity planFlexible work environment focused on results, not hoursUnlimited PTO (for real)You’ll thrive here if you:Have 3+ years of experience in data science or machine learning.Are proficient in tools and practices for industry-standard generative AI systems.Have strong knowledge of relational databases like Postgres and MySQL.Have excellent communication and collaboration skills.Are excited by the challenges and opportunities of working in a startup.",Director,Machine Learning Engineer
+558,2025-03-07,Pittsburgh,Pennsylvania,Abridge,https://www.abridge.com,"Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our Best in KLAS AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.
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+Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.","Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and Lawrenceville in Pittsburgh.The RoleAs an ML Infrastructure Engineer at Abridge, you will be responsible for scaling and deploying machine learning models to handle increasing traffic demands and integrating them with various platforms. You'll play a pivotal role in building a scalable infrastructure that not only supports current deployments but also lays the foundation for long-term growth. Your role will be critical in ensuring our AI-driven healthcare platform is powered by robust, scalable, and efficiently deployed models.What You'll DoArchitect, design, and implement ML software systems for deploying and managing models at scale. Stand up ML models for inference, starting with critical models like the 'linkages' model, and ensure they are capable of handling traffic increases. Develop and maintain infrastructure that supports efficient ML operations, including model evaluations, deployments, and training at scale. Collaborate closely with ML researchers, engineers, and cross-functional teams to ensure seamless integration of models with services like Zoom and Athena. Work with stakeholders across machine learning and operations teams to iterate on systems design and implementation. Optimize and maintain the performance of ML systems to ensure high availability, fault tolerance, and smooth scalability. Troubleshoot production issues and continuously improve systems to enhance performance and efficiency. What You'll Bring5+ years of experience in ML model deployment and scaling, with a focus on production-quality softwareStrong proficiency in Python and Kubernetes, with experience building scalable ML infrastructureExpertise in designing fault-tolerant, highly available systems. Experience working with cloud environments, Infrastructure as Code (IaC), and managing deployments using Kubernetes. Proficiency in optimizing system performance, debugging production issues, and designing systems for scalability and security. Experience in software design and architecture for highly available machine learning systems for use cases like inference, evaluation, and experimentationExcellent understanding of low-level operating systems concepts, including multi-threading, memory management, networking and storage, performance, and scaleBachelor's/Master’s Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalentExcellent interpersonal and written communication skillsIdeally, You HaveExperience with large-scale ML platforms like Ray, Databricks, or AnyScaleExpertise with ML toolchains such as PyTorch or TensorFlowProven experience working with distributed systems and handling inference at scaleBackground in working with teams and leaders to deliver impactful ML-powered solutions in fast-paced environmentsin machine learning toolchains and techniques, such as Pytorch or TensorflowDemonstrated experience incubating and productionizing new technology, working closely with research scientists and technical teams from idea generation through implementationBase Salary: $185,000 USD - $265,000+ USD per year + equity (dependent on experience)The salary range provided is based on transparent pay guidelines and is an estimate for candidates residing in the San Francisco Bay area. The actual base salary will vary depending on the candidate's location, relevant experience, skills, qualifications, and other job-related factors. Additionally, this role may include the opportunity to participate in a company stock option plan as part of the total compensation package.Must be willing to work from our SF office at least 3x per weekThis position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco within 6 months of accepting an offer.We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.Why work at Abridge?At Abridge, we’re driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the “inverse” way in a legacy system—focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgrounds—an experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time. We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees. Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees. 401k and Matching: Contribution matching to help invest in your future. Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more. Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment. Compensation and Equity: Competitive compensation and equity grants for full time employees. ... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.Compensation Range: $185K - $265K",Mid-Senior level,Machine Learning Infrastructure Engineer (All Levels)
+559,2025-03-19,,,Voltai,www.voltai.com,AI models for electronics,"About VoltaiVoltai’s mission is to re-build the physical world through developing super-intelligence to accelerate the pace of hardware innovation. Our focus is to build frontier models that could understand one of the world’s most complex technologies—semiconductor and electronics.About the RoleWe’re looking for a Software Engineer - AI Training Data who thrives in tackling complex challenges and is passionate about building innovative systems for data management. As a Software Engineer at Voltai, your primary responsibility will be to build and optimize the world’s largest semiconductor dataset, leveraging your expertise in software engineering and scalable infrastructure.You will play a critical role in preparing data for our Machine Learning team and developing systems that manage vast amounts of information across various modalities such as text, images, circuits, and more.Key Responsibilities:Build and manage the world’s largest semiconductor dataset.Develop software solutions to efficiently scrape and handle data at an internet scale.Extract and clean information from diverse modalities, including text, images, circuits, simulations, and signals.Prepare and preprocess data for the Machine Learning team.Build systems to handle the transfer of customer data and feedback.Parse documents across various formats and structures.Develop software pipelines for data labelers and manage workloads across large cloud compute clusters.Implement and maintain systems for pre-processing datasets for AI training.Required Skillsets:Proven experience in building scalable software solutions for data pipelines.Expertise in PDF parsing and data extraction.Strong software engineering skills with a passion for improving data and model performance.Experience working with modalities beyond text and demonstrating exceptional work in those areas.Ability to build custom data processing libraries from scratch.Keeping up with state-of-the-art techniques for preparing AI training data.Proficiency in organizing and meticulously managing data across multiple clouds, modalities, and sources.Bonus Points:Background in Electrical Engineering.Experience in connecting machine learning model behavior to data distribution and data quality.Experience in fine-tuning large language models.Experience at a hyper-growth startup.Experience building software systems for training foundation models.Compensation PhilosophyAt Voltai, we believe that exceptional work deserves exceptional rewards. Our compensation structure is designed to reflect the value each team member brings to our pioneering efforts in the semiconductor and AI industries. For this role, we offer a highly competitive market-rate salary, tailored to the candidate's experience, expertise, and potential impact. Our approach ensures that compensation aligns with individual contributions and the long-term success of our mission.Our BenefitsAt Voltai, we believe in taking care of our team so they can focus on pushing the boundaries of innovation. Our benefits package is designed to support your well-being and fuel your professional growth.Unlimited PTO: We trust you to manage your time and know when you need a break. Recharge when you need it, no questions asked.Comprehensive Health Coverage: Your health matters. We offer top-tier medical and dental insurance to keep you and your loved ones covered.Commitment to Your Growth: At Voltai, we’re dedicated to your continuous learning and development. Whether it’s through challenging projects or opportunities for professional advancement, we invest in your journey to becoming a leader in your field.Visa Sponsorship: We support international talent and offer visa sponsorship to help you join our team, no matter where you are in the world.",Mid-Senior level,Software Engineer - AI Training Data
+560,2025-03-17,Phoenix,Arizona,Arizona Public Service - APS,http://www.aps.com,"APS is Arizona’s largest and longest serving electric utility, providing power for nearly 1.2 million customers in 11 of the state’s 15 counties.
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+Since our founding in 1886, APS has demonstrated a strong commitment to our customers in one of the country’s fastest growing states, earning a reputation for customer satisfaction, shareholder value, operational excellence and business integrity.
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+Our success derives from the creative and dedicated people of our company who demonstrate our core values of accountability, safety, integrity, and trust and respect.
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+At APS, we focus every day on our vision: “Creating a sustainable energy future for Arizona.” We will continue to meet the energy needs of our customers with a solid combination of price and service.","Machine Learning Engineer | Data Science & AnalyticsAre you passionate about leveraging machine learning to drive meaningful business outcomes? As a Machine Learning Engineer, you’ll take ownership of the end-to-end MLOps lifecycle, building and managing scalable solutions that turn complex data into actionable insights.What your day would be like: You are responsible for:MLOps Expertise: Design, build, deploy, and monitor machine learning solutions to enhance business operations in areas such as distribution assets and customer solutions.Data-Driven Development: Create and optimize scalable, resilient systems capable of processing and analyzing large volumes of data.Collaboration: Partner with data scientists, architects, and cross-functional teams to design innovative solutions aligned with business needs.Technical Leadership: Conduct code reviews, mentor team members, and implement best practices for software and ML development.Documentation & Visualization: Develop architecture diagrams, maintain robust documentation, and design workflows to monitor key performance indicators (KPIs).The kinds of people we want to talk to have done many of the following: Technical Prowess: Experience in machine learning, data engineering, and cloud-based solutions, with a strong understanding of scalable architectures.Analytical Mindset: Ability to think critically and creatively to solve complex problems and deliver impactful solutions.Team Collaboration: Strong interpersonal skills to work effectively with subject matter experts, engineers, project managers, and vendors.Organizational Excellence: Exceptional organizational skills to manage multiple projects while maintaining attention to detail.Communication Skills: Clear and effective communication to document processes, present insights, and foster collaboration across teams.If you’re a problem-solver with a passion for machine learning and a commitment to excellence, apply today and help us shape the future of intelligent business solutions!Machine Learning Engineer | Data Science & AnalyticsBS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related fieldAND minimum six (6) years directly related data analytics, data science, predictive modeling, building and deploying machine learning solutionsOR advanced degree and four (4) years directly related experience.Possesses a combination of strong analytical and problem-solving skills and programming knowledge, or an equivalent combination of education and experience with demonstrated comparable knowledge and abilities.High level of proficiency in commonly used programming languages and tools like Python, SQL, and cloud solutions to build and deploy scalable solutions.Strong communication, presentation and writing skills.Must be able to lead teams in evaluations and implementation of solutions.Must be able to work with key internal and external stakeholders and all levels of management.Preferred Special Skills, Knowledge or QualificationsMasters or Doctorate degrees in relevant fields2+ yrs of hands-on experience with major cloud machine learning and MLOps services in an enterprise setting.Familiarity with PyTorch or Tensorflow.1+ yr of experience with scaling infra using GPUs or PySpark2+ yrs experience with MLOps services including docker, CI/CD, Kubernetes, and building/managing/monitoring pipelines.Experience with serving generative AI servicesExperience in integrating ML inferences with webservices",Mid-Senior level,Machine Learning Engineer | Data Science & Analytics
+561,2025-03-22,San Francisco,California,Twilio,https://www.twilio.com/en-us?utm_source=linkedin&utm_medium=social&utm_term=corpcomms&utm_campaign=button&utm_content=button,"Today's leading companies trust Twilio's Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, from sales to marketing to growth, customer service and many more engagement use cases in a flexible, programmatic way. Across 180 countries, millions of developers and hundreds of thousands of businesses use Twilio to create magical experiences for their customers. ","Who We AreAt Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.See yourself at TwilioJoin the team as our next Research Engineer (ML) on Twilio’s Emerging Technology & Innovation organization.Who We Are & Why We’re HiringTwilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business.About The JobThis position is needed to spearhead ML/AI focused research projects, write about your findings, build prototypes, and explore emerging technologies for Twilio's Emerging Technology & Innovation (ETI) organization.Twilio's ETI organization is focused on exploring the future of customer engagement through research and experimentation. We dream big, but we also believe in rapidly prototyping our ideas to share with real customers for feedback and iteration. As an early member of this new organization, you will have the chance to influence the strategy and culture of our organization.As a Principal Machine Learning Engineer of the ETI organization, you will be responsible for leading research projects, experimenting with proof of concepts, and staying on the cutting edge of “what if”. There are many exciting challenges ahead of us and we are looking for an engineer who is comfortable with ambiguity, has a proven track record for delivering results, and has experience with the emerging technologies of AI, LLMs, and a passion for keeping up with their latest developments.ResponsibilitiesIn this role, you’ll:Research new ML and AI technologies and toolsBuild prototypes to further your research and test your hypotheses.Imagine new futures based on novel technologies.Share your learnings frequently with your fellow researchers in order to enable collaboration.Collaborate with data scientists, engineers, and developers to integrate AI models and algorithms into existing systems and applicationsCollaborate closely with your product, design and go to market partners to ensure we are all rowing in the same direction.Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. There will be a steep learning curve to this job, you should be comfortable diving in the deep end and creating clarity for yourself.Influence steering committee discussions on leveraging AI across the whole of Twilio.Most importantly, Experiment! As our new team grows, you should embody the practice of testing out new ideas and iterating based on feedback. Not only in the products you deliver, but in the way we conduct ML/AL research at Twilio.QualificationsTwilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!Required7+ years hands on experience writing code in a modern programming language (language agnostic)3+ years of research experience in a professional or academic setting where building your idea and testing it was a must.Experience evaluating the performance of different ML models/versions and making enhancementsExperience working collaboratively with ML engineers, data scientists or ML ResearchersExperience building an ML model and improving it. Passion for emerging technologies and staying up to date on their latest developments Proven track record of shipping products to production, testing ideas early with customers and iterating rapidly on their feedback.Exceptional collaboration skills, the key to our success is going to be tied to our ability to partner with other parts of the organization and help them be successful.Strong customer focus, our feedback loop with customers will be very tight!Excellent written and verbal communication skills. Our ideas will only be as good as our ability to share them.DesiredYou have previously shared your ideas in public forums through blog posts, meetup presentations, or speaking at conferences.Experience building a product from idea to product market fit (zero to one).Experience leading the development of products or features which leverage LLMsBuilder at heart. Through a hobby or your profession, you are passionate about being hands on and seeing your work come to lifeLocationThis role will be remote, but is not eligible to be hired in CT, NJ, NY, WA, PA or the surrounding areas of San Francisco, CA, Oakland, CA, or San Jose, CATravel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.What We OfferThere are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.Twilio thinks big. Do you?We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!If this role isn't what you're looking for, please consider other open positions.Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only.The estimated pay ranges for this role are as follows:Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.:$200,000-$250,000.Based in New York, Washington State, or California (outside of the San Francisco Bay area): $215,000-$265,000.Based in the San Francisco Bay area, California: $230,000-$290,000.This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state.Applications for this role are intended to be accepted until April 30th, 2025 but may change based on business needs. Twilio thinks big. Do you?We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@twilio.com.",Not Applicable,Research Machine Learning Engineer (L5)
+562,2024-03-17,New York,New York,Hang,http://hang.com,Agent-Powered CX,"Hang is building the future of loyalty for brands.Hang is the next generation brand loyalty & membership platform. By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang provides brands with a radically new type of loyalty experience for their customers.Today, they work with a variety of major brands (such as Ulta Beauty, Budweiser, Flipkart, and more), as well as multiple well-known, up-and-coming restaurant chains (Boba Guys, Roam Artisan Burger, and Williamsburg Pizza, among several others).Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs.Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger Global, Howard Schultz, Kevin Durant, Mr. Beast, and the founders of Warby Parker, Allbirds, and Bombas, among others.About The RoleWe are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform's capabilities, making key contributions to our product development, and driving data-driven decision-making.What You’ll DoModel Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making. Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to inform model development and business strategies. Algorithm Optimization: Continuously test and refine algorithms to improve accuracy and efficiency. Collaborative Development: Work closely with software engineers, data scientists, and product managers to integrate ML models into our platform and ensure seamless deployment. Research and Innovation: Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang. Technical Leadership: Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology. Who You AreBachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus. 5+ years of experience in machine learning and data related roles. Proven experience as a Machine Learning Engineer or in a similar role. Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch). Experience with data processing and data analytics. Experience with vector databases, demonstrating proficiency in managing and querying high-dimensional data. Familiarity with popular vector databases like Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss is required. Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology. Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations. Experience with snowflake, Postgres, RDS, Redis and AWS. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication skills and ability to work well in a team. Experience with Ruby is a plus. What Would Set You ApartYou have a passion for consumer brands and loyalty programs. BenefitsTop-tier health, vision, and dental insurance, including plans with $0 employee cost. Unlimited PTO / sick leaveCompetitive salary & equity compensation. Quarterly company offsites",Entry level,Machine Learning Engineer
+563,2025-03-29,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. Our mission is to protect billions of users and publishers across the globe every day. We embrace the state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.We are looking for excellent machine learning engineers who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. A successful candidate will have machine learning expertise and good software engineering experience. And you will take pride in working with engineers, product managers and business partners to identity and solve the most challenging safety and integrity problems in the internet scale.Responsibilities - What You'II Do Lead and build content understanding models for content moderation. Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, graph models, representation learning models, and LLM. Collaborate with product teams to define business objectives and improve trust and safety strategy. Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipeline at scale. Collaborate with data scientist team to understand the key challenges and propose data-driven strategies.QualificationsMinimum Qualifications: BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 2+ years of related experience. Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal/Graph/LLM), statistical models and applied mathematical methods. Strong coding skills, especially in Python and similar languages. Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.Preferred Qualifications Experience in LLM, multimodal modeling, representation learning and/or publications in top AI/ML conferences are a plus. Understanding of the business value of content understanding and content moderation. Experience in developing online ML systems including ranking, retrieval.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $194000 - $355000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - Computer Vision
+564,2025-03-27,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2875476",Not Applicable,"Machine Learning Engineer, AGIF"
+565,2025-03-28,Miami,FL,One Park Financial,https://www.oneparkfinancial.com,"One Park Financial helps small business owners access working capital. Through our own direct experience, we understand the strengths and needs of entrepreneurs and owners of smaller businesses and the challenges they face when searching for funding options. We believe everyone deserves a chance to succeed and own their dreams – on their own terms.  And we know that small and mid-sized businesses are critical to the well-being of their communities and the financial strength of our nation.
+
+Voted TOP WORKPLACE 2017, 2018, 2019, 2020, 2021 and 2022 in South FL!","Company Overview:One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small businesses by connecting them with a wide variety of flexible financing and funding options. Our mission is to provide entrepreneurs with the working capital they need to elevate their businesses to new heights. At OPF, we believe in working with high-performing individuals who are ready to play an integral part in our company's expansion. We know that our success hinges on our people, and we strive to enable them to do what they do best.Why Join Us? At OPF, we foster a dynamic and inclusive company culture that emphasizes collaboration, innovation, and personal growth. Our team is composed of passionate, driven individuals who are committed to making a difference. Here's what you can expect when you join our team: Innovative Environment: Work with cutting-edge technology and be part of a team that is constantly pushing the boundaries of fintech Professional Growth: We invest in our employees' growth with continuous learning opportunities, training programs, and career advancement paths Supportive Culture: Enjoy a supportive and inclusive work environment where your ideas are valued, and your contributions make a real impact Community Focus: Be part of a company that understands the importance of small and mid-sized businesses to their communities and the nation's financial health High-Performing Team: Join a team of badasses who are committed to excellence and are integral to our company's expansion and successWe are looking for a seasoned Data Scientist to join our Analytics team to enable core business transformation. This role will be responsible for using advanced statistical and machine-learning techniques to drive improvements. You will work closely with business stakeholders to understand problems and propose & implement AI/ML solutions. You will lead the charge in A/B testing within the organization and design experiments to prove success. You will perform EDA, identify modeling opportunities, feature engineer & ETL data, implement models and their monitoring, and highlight opportunities for change.We want to work with high-performing badasses who will play an integral part in our transformation of the company. We understand one thing: it all comes down to working with creative & committed people and enabling them to do what they do best.Responsibilities:Utilize advanced statistical and machine learning techniques to analyze large datasets and build new AI/ML modelsConduct exploratory data analysis, feature engineering, and data preprocessing to solve business problemsFacilitate the deployment and monitoring of models for real-time and batch processingPerform model evaluation and validation on a regular basis to ensure robust performanceEngineer A/B tests with scientific rigor. Gather test data and validate results to present to business stakeholdersChampion creative uses of existing data to solve business problems with intellectual curiosityProduce statistical and data analysis visuals (charts, infographics) to communicate findings clearly and effectively to a non-technical audienceCollaborate with team members, product managers, and business stakeholders to identify opportunities for new and innovative AI/ML solutionsAnalysis areas could include Onboarding Credit, Ongoing Credit, Marketing segmentation, Voice-based analysis, Text mining, Sentiment analysis, Risk quantification, and Risk-based pricingRequirementsQualifications:3-5 years of experience in Data Science and the Financial Industry, preferably in Credit or LendingMaster's degree in mathematics, statistics, computer science, or data scienceExperience in transforming existing processes with AI/ML-based approachesProficiency in data manipulation. Excellent SQL and Python skills for data wrangling and ETLExperience with dashboard tools such as PowerBI or other visualization toolsExperience building credit or risk models for Financial Services, Lending, or InsuranceExperience in validating models to identify ongoing improvementsRock Solid data science skillset - Exploratory Data Analysis, Feature Engineering, Fitting, Tuning, and Comparing models, and managing the model LifecycleExperience with statistical modeling and data analysis using programming languages such as PythonExperience in ML engineering, cloud-based deployment, and machine learning model lifecycle managementBenefitsLocal & National Health InsuranceDental and Vision insuranceGroup Medical Bridge401k with MatchGas StipendID Protection: 100% covered by the companyLife Insurance: 100% covered by the companyGenerous PTO and holidays",Associate,Data Scientist
+566,2025-04-03,San Jose,CA,Zoom,www.zoom.com,"Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom AI-first work platform you know and love. 💙
+
+Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, Contact Center and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.
+
+We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you'll find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
+
+Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home","Machine Learning EngineerWhat You Can ExpectAs a Machine Learning Engineer on our GenAI Engineering team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. You'll take the lead in developing and enhancing AI algorithms, techniques, and solutions for our AI Companion product. Working closely with experienced researchers and engineers, you'll be part of a dynamic team dedicated to achieving groundbreaking results.About The TeamThe GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion functionalities. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.ResponsibilitiesDesigning, implementing, and optimizing GenAI algorithms, techniques, and solutions to address complex business challenges.Collaborating with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.Participating in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.Identifying opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.Staying up-to-date with the newest developments in GenAI research and engineering to continuously improve our technical capabilities.What We’re Looking ForPossess a degree in Computer Science, AI, Machine Learning, Distributed Systems, or a related field.Be proficient in one or more programming languages such as Python, C, C++, or CUDA, with experience in building scalable software systems.Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities.Able to effectively collaborate with cross-functional teams and present technical concepts to both technical and non-technical audiences.MinimumSalary Range or On Target Earnings:$127 700,00Maximum$255 400,00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.We also have a location based compensation structure; there may be a different range for candidates in this and other locationsAt Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!Anticipated Position Close Date05/01/25Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.Our Commitment We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.",Not Applicable,Machine Learning Engineer - AIC Core
+567,2025-03-09,,,Falconer,https://falconer.ai/,"Create, find, and maintain trustworthy knowledge in one AI-powered platform.","Founding Machine Learning EngineerAt Falconer, we’re transforming how engineers create, access, and share knowledge. We’re looking for a Founding ML Engineer to help us build an AI-powered knowledge platform that companies love.As a founding engineer, you won’t just help shape our product development—you’ll have a seat at the table to define Falconer’s technical direction and culture.Key responsibilities:Participate in the entire product development lifecycle, including architecture, coding, testing, and deployingResearch and apply best practices in terms of Knowledge Graph, embeddings, vector and graph RAG search, fine-tuning, and model optimizationDevelop and maintain backend systems including API services, databases, and server-side logicOptimize tech stack and applications for maximum precision and speedWrite clean, efficient, and well-documented code, following industry best practices—the Falconer platform will help you!Stay updated with emerging technologies in web development and make recommendations for adopting new tools and practices Who you are:Degree in Computer Science, Data Science, Engineering, or equivalent work experienceMinimum of 2 years of experience in developing ML data pipelinesExperience with text embeddings, RAG systems, and similarity searchFamiliar with Entity and Relationship recognition modelsSkilled at prompt engineeringAbility to implement backend systems in Python and/or Node.jsYou can evaluate tradeoffs and propose the most appropriate storage solution (SQL, NoSQL, Vector DBs, Graph databases)You enjoy hard problems and open-ended assignmentsYou use data to make decisions, and experiment your way around hard problemsBonus points:You've developed products with LLMs before (extra if you've already built your own agents)You have fine-tuned foundational models to tailor responses to specific data use casesYou have experience with LlamaIndex and Memgraph to produce knowledge graphsPerks and benefits:Generous equity packageCompetitive salary and benefits401(k) retirement accountThe best equipment and tools, like a spec'd out MacBook, and dev prod tools like Cursor, Claude, and Linear to help you move fastFlexible work arrangements with in-office work or hybrid/remote work for the right candidateOur current office is in San Mateo, just steps from CaltrainFalconer was founded by the former Head of Docs at Stripe and Uber, and an AI/ML tech lead from Uber and Meta. We are venture-backed, with a phenomenal founding team and strong customer demand.",Entry level,"Software Engineer, Machine Learning"
+568,2025-04-03,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services.We use an AIGC large model, deep learning, machine learning and other technologies to establish a safe and trusted connection between billions of active users and the company's commercial products (advertising, e-commerce, live broadcast, etc.). By building a highly concurrent and highly reliable risk control system, we can perceive and deal with the risks of commercial products in real time. By building an end-to-end deep learning model and machine learning system, we can understand the content of commercial products and automatically review tens of millions of content in a short time. We sincerely invite you to join us and build the most advanced risk control system in the industry.Responsibilities: Responsible for understanding content of advertisements, including titles, images, videos, OCR texts, ASR texts, etc. Responsible for the construction of models, such as AIGC model, image/video model, multimodality model, etc. Responsible for model acceleration, improving inference efficiency while maintaining the effectiveness of models. Responsible for tracking and implementation of SOTA technologies in the CV/Multimodality.QualificationsMinimum Qualifications Excellent algorithm foundation and programming ability, familiar with mainstream programming languages such as python/c++. Familiar with model training frameworks, such as tensorflow, pytorch, mxnet, etc. Proficiency in building or finetuning LLMs at scale. Worked across CV, NLP or text/audio technologies.Preferred Qualifications Excellent algorithm foundation and programming ability, familiar with mainstream programming languages such as python/c++. Familiar with NLP-related tasks, such as text classification, keyword matching, large language model (LLM), etc. Familiar with CV-related tasks, such as image/video classification, object detection, retrieval, etc. Familiar with multimodality technologies, such as vision-language pretraining. Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills. Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability. Experience in Gen-AI or AIGC models is preferred. Published papers in CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $355000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Multimodality"
+569,2025-03-29,Appleton,WI,Coterie Insurance,https://coterieinsurance.com,"Coterie Insurance puts insurance agents and brokers first, delivering instant business insurance across the United States. 
+
+Coterie uses a partnership-based approach to help insurance professionals unlock untapped revenue in the small commercial space. 
+
+With an innovative quoting platform that delivers accurate pricing and bindable quotes in less than one minute, Coterie is making small business insurance effortless.   ","Who We AreThrough a partnership-based approach, Coterie helps insurance professionals unlock untapped revenue in the small commercial space. With an innovative quoting platform that delivers accurate pricing and bindable quotes in less than one minute, Coterie makes small business insurance effortless.We are on a mission to build and foster a world-class team to bring speed, simplicity, and service to commercial insurance. We value integrity, humility, passion, and intelligence. If you want to push yourself and reshape a $200B+ market, we’re excited to talk to you!What will the Associate Data Scientist do?Our growing Data & Analytics team aims to hire an Associate Data Scientist who is passionate about data and its ability to transform an industry. We seek a motivated individual who is curious, logical and can develop scalable data solutions that will drive our decision-making processes. We work 100% remotely which means that if you are a self-starter who views data analyses as a craft rather than a job, we want to speak to you!You’ll be a member of our Data & Analytics team working closely with data science teammates, data engineers, business intelligence developers and business owners to develop data products that enable Coterie to operate in a highly analytical environment.Your work will focus on both internal and external data. We develop robust, extensible solutions that are fundamentally sound but can also adapt with our growing business.You’ll have a crucial role on our connected and talented team of like-minded data professionals, and together we’ll continue to help Coterie transform the insurance industry.What We Are Looking ForIntellectual curiosity, learner mindsetSelf-starter who requires minimal supervisionDetail-orientedCreative problem-solvingScripting language experience (e.g., Python and/or R, SQL)What Will Make You Stand OutAzureAutomationCI/CDDatabricksMachine learning/predictive modelingNatural language processingVersion controlAPI experience preferredOur Interview ProcessOur hiring process generally consists of 4 phases. The goal is to provide an opportunity for us to learn more about our candidates while allowing them to get to know us as well!Phase 1: Selected candidates will then receive a short, coding assignment. This step represents an opportunity for you to showcase your skills. We value and respect your time, and we anticipate this exercise requiring no more than ~1-2 hours to complete.Phase 2: Qualified candidates will meet with a member of our People Operations team for a phone interview. This discussion is a high-level conversation to understand more about your background and interests and for us to share more about Coterie and the position.Phase 3: Selected candidates will be invited to participate in our PDP survey and meet with our Hiring Manager for a 2nd interview via Teams video. This interview is designed to be more detail oriented and allows you to learn more about the role and expected to be 30-60 minutes in length.Phase 4: Final candidates will receive an invite to our final interview series. This series will include 1:1 interviews with additional team members. The final series is roughly 1-2 hours in total.What's In It For YouCoterie has excellent benefits for all full-time employees. We offer the following:100% remoteHealth insurance through Aetna (we pay 100% of premiums)Dental and vision insurance through Guardian (we pay 100% of premiums)Basic life insurance (we pay 100% of premiums)Access to flexible spending account (FSA) or health savings account (HSA) (for those using HSA eligible plans)401K plan (up 4% match with immediate vest). Must be 21 years of age or older to participateFlexible PTO and 12 company-paid holidays each yearContinuing education annual stipendAnnual salary estimated between 75,000-90,000 based on national data. Candidates who meet all the minimum requirements and possess additional relevant experience, as outlined in the job description, may be considered for a salary above the midpoint of the above range. Salary is based on internal equity; internal salary ranges; market data/ranges; applicant’s skills; prior relevant experience; degrees or certifications, etc. Work AuthorizationAt this time, Coterie Insurance is unable to consider candidates who require current or future visa sponsorship. Applicants must have authorization to work in the United States without the need for sponsorship now or in the future. Falsification of an application, including work authorization status, is immediate grounds for dismissal from consideration.",Entry level,Associate Data Scientist
+570,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+571,2025-04-05,San Francisco,California,Atomwise,http://www.atomwise.com,"Atomwise is a preclinical pharma company revolutionizing how drugs are discovered with AI. Atomwise has strengthened its drug discovery and development expertise by expanding its Board of Directors and creating a Scientific Advisory Board (SAB). These appointments signal a critical milestone for Atomwise as the company focuses on its own internal pipeline. 
+
+We invented the use of deep learning for structure-based drug discovery, today developing a pipeline of small-molecule drug candidates advancing into preclinical studies. Our AtomNet® technology has been used to unlock more undruggable targets than any other AI drug discovery platform. We are tackling over 600 unique disease targets with more than 250 partners around the world, including leading pharmaceutical, agrochemical, and emerging biotechnology companies. Atomwise has raised over $174 million from leading venture capital firms to advance our mission to make better medicines, faster. 
+
+We’re at a critical time in history where our need for new kinds of medicines is greater than any time in human memory. Fortunately, we can leverage advancing technology and scientific breakthroughs to accelerate discovery. New data, new algorithms, new compute platforms lift all of us, enable our work on the hardest of problems, empower us to invent and create, and ultimately save one billion lives. Join us: www.atomwise.com/careers","About Atomwise:Atomwise is a TechBio company leveraging AI/ML to revolutionize small molecule drug discovery. The Atomwise team invented the use of deep learning for structure-based drug design; a core technology of Atomwise's best-in-class AI discovery and optimization engine, which is differentiated by its ability to find and optimize novel chemical matter. The company's belief is that structurally novel chemical matter increases the likelihood of developing first-in-class and best-in-class medicines that have the potential to transform patient care.Atomwise has extensively tested its discovery and optimization engine, delivering hit ID success in over 230 academic and collaboration projects-to-date that cover a wide breadth of protein classes and numerous ""hard-to-drug"" targets. Atomwise is building a pipeline of small-molecule drug candidates with first-in-class and best-in-class potential in immunology.The Role:We seek a highly motivated and creative Machine Learning Researcher to join our growing team. You will be at the forefront of developing and applying advanced machine-learning models to accelerate the discovery of novel therapeutics. Your work will directly impact the development of innovative AI-driven drug discovery platforms. This role offers the opportunity to work on challenging problems at the intersection of machine learning, chemistry, and biology, with access to extensive datasets and state-of-the-art computational resources.Responsibilities:Develop and implement novel deep learning models for molecular property prediction, design and optimization, and virtual screening. Design and execute experiments to evaluate the performance of generative models in generating chemically valid and biologically relevant molecules. Collaborate with cross-functional teams of chemists, biologists, and software engineers to integrate ML models into drug discovery pipelines. Conduct in-depth analyses of model outputs and performance metrics to identify areas for improvement. Stay up-to-date with the latest advancements in machine learning and computational chemistry, and contribute to the scientific community through publications and presentations. Contribute to the development of scalable and efficient machine learning infrastructure by productionizing research for at-scale use by drug discovery teams. Explore and implement innovative techniques for multi-objective optimization, property prediction, and active learning within the context of generative modeling for drug design. Qualifications:Ph.D. in Computer Science, Machine Learning, Computational Chemistry, Bioinformatics, or a related field. Hands-on experience with graph neural networks, multi-task learning, active learning strategies, multi-objective optimization, and generative modeling, in particular their application to problems in small molecule drug discovery. Proficiency in designing and implementing novel machine learning architectures in PyTorch. Strong problem-solving and analytical skills, with a demonstrated ability to conduct independent research. Experience with collaborative software engineering and developing high quality, maintainable code in a large codebase. Demonstrable communication and collaboration skills. A strong publication record in relevant conferences and journals is highly desirable. Experience with 3D generative modeling and knowledge of protein-ligand interactions is a plus. Experience in optimizing models for large-scale training and inference is a plus. Familiarity with cheminformatics tools and libraries (e.g., RDKit) is a plus. Compensation & BenefitsCompetitive salary, commensurate with experience Stock compensation plan – you'll be an Atomwise co-owner Platinum health, dental, and vision benefits for you and your dependents 401(k) retirement plan with generous company match (up to 4%) Flexible paid time off (PTO), 13 paid holidays, and wellness breaks for employees to spend time with their loved ones and recharge Health Savings and Flexible Spending Account options to help save money on healthcare, daycare, and commuting Employee Assistance Program (EAP) and Pet Insurance Funding for professional development and conference attendance Flexible work schedule Generous paid parental leave Atomwise is an equal opportunity employer and strives to foster an inclusive workplace. We are a TechBio company leveraging AI/ML to revolutionize small-molecule drug discovery, and we know that we need a diverse team to develop medicines that serve diverse populations. Accordingly, Atomwise does not make any employment decisions (including but not limited to, hiring, compensation, and promotions) on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, veteran status, disability status, or any other characteristics protected by applicable federal, state, and local law.We strongly encourage people of diverse backgrounds and perspectives to apply.The base salary for this position is $175,000- $260,000. Pay is determined by multiple factors including, but not limited to, a candidate's geographical location, experience and skills. We're considering all levels of experience for this position.",Mid-Senior level,"Machine Learning Research Scientist/Engineer, AI/ML for Drug Discovery"
+572,2025-03-20,Cambridge,MA,Flagship Pioneering,http://www.flagshippioneering.com,"Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple transformative human health and sustainability products. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures. 
+
+The current Flagship ecosystem comprises over 40 companies, including Denali Therapeutics, Foghorn Therapeutics, Generate:Biomedicines, Inari, Indigo Agriculture, and Tessera Therapeutics. ","Company SummaryLila Sciences is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. Lila is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science.Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities. And our Physical Sciences effort is developing a novel AI and data-driven approach to materials discovery and development to accelerate the transition to a sustainable economy.At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.The RoleWe are seeking a mid-level Machine Learning Operations Engineer to join our growing team. In this role, you will focus on unifying data management at Lila by building and maintaining high performance and robust data pipelines to support a variety of machine learning use-cases. You will work closely with both LLM researchers and Applied AI Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and physical science automation.Responsibilities:Design and implement high-performance data processing infrastructure for large language model trainingCollaborate with researchers to implement novel data processing pipelinesDevelop an easy-to-use, secure, and robust developer experience for researchers and engineersContribute to the MLOps best practices at Lila Sciences and write technical documentation for staffQualifications:3+ years of experience in software engineering, with a focus in data engineering or DevOpsDemonstrated experience deploying and maintaining machine learning models in productionProficiency with Kubernetes, Docker, and Cloud (AWS Preferred)Proficiency with CI/CD tools and Frameworks (GitHub Actions preferred)Strong skills with Scripting languages (e.g. Python, Bash), VCS (git), and LinuxProven experience in cross-functional teams and able to communicate effectively about technical and operational challenges. Preferred Qualifications:Proficiency with scalable data frameworks (Spark, Kafka, Flink)Proven Expertise with Infrastructure as Code and Cloud best practicesProficiency with monitoring and logging tools (e.g., Prometheus, Grafana)Experience managing on-premises kubernetes environments (e.g. Rancher)Working at Lila Sciences, you would have access to advanced technology in the areas of:AI experimental design and simulation Automated liquid handling and instrumentation Generative molecular design Location: Cambridge, MA preferred; open to remote.More About Flagship PioneeringFlagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.",Mid-Senior level,Machine Learning Operations Engineer
+573,2025-04-08,Herndon,Virginia,"LanceSoft, Inc.",https://www.lancesoft.com,"Established in 2000, LanceSoft is a pioneer in delivering top-notch Global Workforce Solutions and IT Services to a diverse clientele. As a Certified MBE and Woman-Owned organization, we pride ourselves on fostering global cross-cultural connections that advance both the careers of our employees and the success of our clients' businesses.
+
+At LanceSoft, our mission is clear: to leverage our global network to seamlessly connect businesses with the right talent and individuals with the right opportunities, all without bias. We believe in providing Global Workforce Solutions with a personalized, human touch.
+
+Our comprehensive range of services spans various domains, encompassing temporary and permanent staffing, Statement of Work (SOW) arrangements, payrolling, Recruitment Process Outsourcing (RPO), application design and development, program/project management, and engineering solutions.
+
+Currently, our team of over 5,000 professionals caters to 110+ enterprise clients worldwide, including Fortune companies. Our client base represents a diverse spectrum of industries, including Banking & Financial Services, Semiconductor/VLSI, Technology, Healthcare & Life Sciences, Government, Telecom & Media, Retail & Distribution, Oil & Gas, and Energy & Utilities.
+
+Headquartered in Herndon, VA, LanceSoft operates 32+ regional offices across the North America, Europe, Asia, and Australia. We also have nine delivery centers strategically located in India in Bangalore, Indore, Noida, Baroda, Hyderabad, Bhubaneshwar, Dehradun, Goa, and Aligarh to further enhance our client service capabilities.","Location -Austin, TX pay rate - $54/hr on W2Requirements:1. Proven experience as a Machine Learning Engineer or similar role with a minimum of 5 years of experience in machine learning.2. Proven minimum 5+ years of data mining.3. Minimum of 5+ years of experience in programming with Python.4. Extensive experience in parsing unstructured data into structural form.5. Understanding of data structures, data modeling and software architecture.6. Strong understanding of machine learning techniques and algorithms, data mining, and statistical analysis.7. Proficiency with SQL,TensorFlow, PyTorch, Pandas, Keras and related libraries8. Experience with cloud platform: Azure and Databrick.9. Strong analytical, problem-solving, and communication skills.10. Ability to work as part of a team and independently.11. Outstanding analytical and problem-solving skills.12. BS in Computer Science, Mathematics, Statistics, or similar field; Master’s degree is a plus.",Mid-Senior level,Machine Learning Engineer
+574,2025-03-28,,,Altos Labs,http://www.altoslabs.com,"Altos Labs is a biotechnology company focused on restoring cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. The company comprises a community of leading scientists, clinicians, and leaders from academia and industry working together towards this common mission. 
+
+Altos operates in the San Francisco Bay Area, San Diego and Cambridge, UK.
+
+Note: Altos Labs will not ask you to download a messaging app for an interview or spend your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate or a practice within our organization.","Our MissionOur mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.For more information, see our website at altoslabs.com.Our ValueOur Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.What You Will Contribute To AltosAltos Labs is building high-performance, scalable, quantitative solutions for biomedical image analysis and integration with multi-Omics data. The team work at multiple scales including data from Electron/Light Microscopy, Digital Histology and Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups.ResponsibilitiesEvaluate state of the art and Retrain AI models across the full spectrum of imaging including: de novo protein design, structure identification and dynamics in single particle CryoEM ; light microscopy and multi-omics data integration and cross domain mapping of data collected in situ and in vivo.Demonstrate software engineering skills to develop reliable, scalable, performant distributed systems in a cloud environment.Develop efficient data loading strategy and performance tracking to train large models with distributed training across multiple nodes Build, deploy, and manage multi modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework.Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and software engineers.Bridge the communication gap between experimental scientists, algorithm developers and software deployers.Who You AreMinimum QualificationsBS/MS in Computer Science/Biomedical Engineering or related quantitative field.Candidates should have 2-5 years of relevant industry and/or academic experience.Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorfllow, Pytorch Lightning etc.Previous experience with Machine Learning at scale: Large Language Models and Self-Supervised/Contrastive/Representation Learning for Computer Vision applications and multi modal integration. Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics.Demonstrated track record of hands-on technical leadership and scientific contributions such as papers or conference communications.Excited to design and implement technical and cultural standards across scientific and technical functions.Preferred QualificationsBioinformatics data processing and analysis.Multi source data Integration.Experience with cloud computing and containerization.Knowledge of genetics/human geneticsThe salary range for Redwood City, CA:Machine Learning Engineer I: $144,500 - $195,500Machine Learning Engineer II: $170,000 - $230,000The salary range for San Diego, CA:Scientist I, Machine Learning: $141,950 - $192,050Scientist II, Machine Learning: $160,650 - $217,350Exact compensation may vary based on skills, experience, and location.For UK applicants, before submitting your application: Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice) This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.What We Want You To KnowWe are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation.Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/",Mid-Senior level,Machine Learning Engineer
+575,2025-04-09,New York,NY,Venmo,http://www.venmo.com,"At Venmo, we’re working to build a payment experience that's simple, delightful and connected. Since our founding in 2009, we’ve quickly grown from an idea hatched by two college roommates who wanted a better way to pay each other back to the go-to digital wallet that’s known and loved by millions. What started off as a simple SMS platform to send and receive money has evolved into a social payments app allowing people to pay, split and share their experiences.","The CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Description Summary:Meet Your Team PayPal is transforming global commerce. Our Engineering team is the heart of this transformation. We’re building innovative solutions that delight customers and drive business growth. Join our dynamic engineering team at PayPal, where you’ll have the opportunity to collaborate with talented peers and work on high-impact projects in an agile environment. We're not just building systems; we're creating scalable, high-performance solutions that make a real difference in global commerce. We prioritize code quality, customer focus, and rapid iteration. Our engineers work closely with design, product, and QA teams to deliver world-class experiences.Job Description:Your way to impactAt PayPal, Backend Software Engineers are the architects of our global payment platform. You'll design, develop, and optimize core systems that power millions of transactions daily, directly impacting our customers' experiences and our company's success.Your day-to-dayAs a Software Engineer, Backend Python you'll contribute to building robust backend systems. You'll collaborate closely with experienced engineers to learn and grow your skills.Develop and maintain backend components.Write clean, efficient code adhering to coding standards.Participate in code reviews and provide feedback.What Do You Need To BringBachelor's degree in Computer Science or related field.2+ years of backend development experience. Strong foundation in programming concepts and data structures.Proficiency in at least one backend language (Python)Proficiency in backend development using Python frameworks, with experience in technologies such as frameworks like Django and Flask.Strong understanding of web services and Service-Oriented Architecture (SOA) standardsExperience with databases (SQL, NoSQL)Preferred QualificationsExperience with large-scale, high-performance systems.Knowledge of the payment processing industry and relevant regulations.Experience with cloud platforms (AWS, GCP, Azure).Contributions to open-source projects.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspxCommitment to Diversity and InclusionPayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.Belonging at PayPal:Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please Join our Talent Community.We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.Notice to Applicants and Employees who reside within New York city. Click https://careers.pypl.com/Contact-Us/default.aspxto view the notice.REQ ID R0124673",Not Applicable,"Associate Software Engineer, Backend Python"
+576,2025-03-25,,,iFIT,http://ifit.com,"iFIT is a global health and fitness subscription technology company that provides unmatched fitness experiences and solutions to its growing community of six million engaged members across 120 countries. iFIT’s industry-leading brands – NordicTrack®, ProForm®, Weider, Freemotion®, and Sweat® – are powered by the iFIT-integrated health and fitness platform, which seamlessly connects the company’s proprietary software, experiential content, and interactive hardware. Based in Logan, Utah, with offices in Paris, Shanghai, Sydney, and Manchester, the company offers immersive, adaptive, personalized workout experiences for every fitness level and interest. iFIT delivers these patented interactive experiences through an extensive offering of live and on-demand workouts across the industry’s broadest range of connected fitness modalities. iFIT is a technology leader and pioneer in the health and fitness industry, with more than 400 issued and pending patents.","SummaryiFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition, and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey.We are currently seeking an ambitious pace-setter to join our team as a Machine Learning Engineer in a remote role. You'll be part of our AI team, working in a modern TypeScript/Python tech stack and using AWS and Terraform to build and deploy production ML services. Our engineering culture emphasizes autonomy - you'll own your services end-to-end, from development through deployment via GitHub Actions pipelines.ROLE COMMITMENTSBuild and maintain production-grade machine learning systems and AI modelsDrive technical excellence in ML engineering practices and infrastructureCollaborate effectively across teams to deliver integrated AI solutioContribute to our engineering culture of ownership and innovationStay current with ML/AI advances and evaluate their potential applicationEssential Duties And ResponsibilitiesDesign, develop and deploy production recommendation systems and generative AI modelsOwn the full ML lifecycle including data preparation, model development, training infrastructure, and production deploymentBuild robust, scalable ML services using modern cloud infrastructure (AWS) and IaC (Terraform)Write clean, tested code in TypeScript and Python following engineering best practicesCollaborate with product teams to understand requirements and translate them into technical solutionsContribute to ML platform infrastructure and toolingMentor other engineers on ML best practicesParticipate in code reviews and technical design discussionsMonitor and maintain ML systems in productionDocument technical decisions and system architectures",Entry level,Machine Learning Engineer
+577,2025-03-28,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","We are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. You will be part of our efforts to architect, design and implement a clean slate compiler for this activity and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts. You will contribute to a full stack development effort compiling PyTorch models down to binaries for custom hardware accelerator blocks.Software Engineer, Systems ML - Compilers Responsibilities:Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators.Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance.Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools.Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.Analyze and improve the efficiency, scalability, and stability of our toolchains.Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.2+ years experience developing compilers, runtime, or similar code optimization software.Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis.Experience in AI framework development or accelerating models on hardware architectures.Preferred Qualifications:Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow.Experience with machine-code generation or compiler back-ends.Experience working and communicating cross functionally in a team environment.Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Systems ML - Compilers"
+578,2025-04-03,Bristol,England,Rise Technical,https://bit.ly/RiseLinBio1,"Global Partners in Engineering Talent Solutions.
+
+Our experience and genuine interest in our specialist sectors means we understand the challenges facing our clients, and the value they place on recruiting motivated, first-rate and skilled talent. It’s our people-focused service that keeps businesses thriving, candidates rising and our business growing from strength to strength.
+
+Our purpose is to positively change lives through unrivalled organisation of highly motivated resources - Combining motivational matching with technical excellence to drive future growth. 
+
+For over a decade, we’ve been working with businesses – big and small – to attract outstanding permanent and contract engineering and technical talent. Our focused approach and specialist knowledge enables us to quickly get to know your specific business needs and find you people who are just right. We believe in keeping things straightforward and focus on exceptional quality, skilful efficiency and making well-considered connections.
+
+So far we’ve successfully placed over 23,000 technical candidates. And counting….","Machine Learning Engineer$150,000 to $250,000 + Equity + Benefits + PTOHybrid - San Francisco OR New York Are you a Machine Learning Engineer with a background cloud computing platforms and tools for managing ML workloads at scale, looking to work in a fast growing start-up with fast track progression opportunities?This is an incredible opportunity to join a start-up with 8 figure funding, where you will be able to work alongside passionate engineers and leading researchers to create groundbreaking and truly innovative technology.My client is a seed stage company that is developing an AI-powered platform, that enables users to create dynamic character videos by transforming text, images, or voice inputs into animated content. Through its cutting-edge AI models, it enables the creation of lifelike and customizable human characters.As a Machine Learning Engineer, you will design and oversee the services and infrastructure that support the company's models and power video generation. You will utilize your expertise in developing backend services, managing infrastructure as code, and deploying models that drive the company's offerings.This is great chance to join a well-funded start-up with strong momentum, in a role that allows you to work with top researchers and engineers, whilst developing a product with huge potential and benefiting from fast-tracked career progression.The Role:* Start-up with 8 figure seed funding* Design and oversee the services and infrastructure for models and power video generation* Develop backend services, managing infrastructure as code, and deploying models* Great opportunity to progression in a fast-growing companyThe Person:* Experience with Python and PyTorch* Proficiency in Docker, Kubeflow, and distributed training techniques* Experience developing/scaling pipelines, event streaming/processing in AWS (+ SQS or Kafka)",Mid-Senior level,Machine Learning Engineer
+579,2025-04-02,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is seeking a highly skilled Machine learning SOC Engineer with experience in Runtime and firmware development. As a key member of our engineering team, you will be responsible for designing, developing, and maintaining the host runtime, device drivers, APIs, and libraries to enable seamless interaction between the host runtime environment and various processing units. Your experience will enable us to streamline our Architecture validation and ensure the optimal performance of our AI Accelerator.Machine Learning SOC Engineer Responsibilities:Design and develop the host runtime environment for heterogeneous computing systems, ensuring efficient communication and data transfer between different processing units.Develop and implement device drivers, APIs, and libraries to enable seamless interaction between the host runtime environment and various processing units.Collaborate with hardware engineers to understand the architecture of heterogeneous computing systems and optimize the host runtime environment accordingly.Work closely with application developers to ensure that the host runtime environment meets their requirements and provides optimal performance for their applications.Participate in code reviews, and stay up-to-date with industry trends and emerging technologies.Troubleshoot and debug issues, working closely with hardware engineers and application developers to resolve problems.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.3+ years of experience in development in the area of heterogeneous computing or high-performance computing.Programming skills in languages such as C++, Rust, and Python.Experience with runtime development, device driver development, API design, and library implementation.Problem-solving skills to analyze complex technical issues and develop effective solutions.Communication and collaboration skills to work effectively with cross-functional teams.Preferred Qualifications:Knowledge of computer architecture, operating systems, and parallel programming models (e.g., OpenMP, MPI).Familiarity with heterogeneous computing platforms, such as NVIDIA CUDA, OpenCL, or AMD ROCm.Experience with object oriented, trait oriented and functional programmingKnowledge of machine learning frameworks, such as TensorFlow or PyTorch.Experience with agile software development methodologies and version control systems, such as Git, Mercurial.Familiarity with modern build tools like Bazel, Buck, CMake etc.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$142,000/year to $203,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,Machine Learning SOC Engineer
+580,2025-01-30,Monmouth Junction,NJ,First Soft Solutions LLC,http://www.firstsoftsolutions.net,"When you hire First Soft Solutions, you're hiring a strategic technology consulting partner committed to helping you meet your unique business and technology objectives on time, on budget and with an optimal experience. We apply the expertise of our global community of technology experts, an unmatched portfolio of proven solutions, flexible delivery and a laser focus on the Microsoft enterprise platform to help you increase revenue, reduce costs and reinvest in innovation for competitive advantage. And we bring unique connections with our clients and Microsoft, enhancing our ability to deliver effective mission-critical solutions for organizations across all industries. When selecting an First Soft Solutions solution, you'll receive the best of our thinking and experience. Based on engineered, tested and reusable technology assets, our solutions are proven to help customers streamline operations, create new products and services, optimize collaboration across all groups and boundaries, and serve their customers better.","We are actively hiring for Senior Machine Learning EngineerFull time W2 requirement Minimum 8+ years of experience is neededMinimum of 8 years of experience in machine learning and deep learning (Python, scikit-learn, XGBoost).Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras.Hands-on experience in Natural Language Processing (NLP).Proficiency in software development practices, including Git, PEP-8 standards, and Python advanced programming techniques.",Entry level,Machine Learning Engineer
+581,2025-03-27,"Provo, UT and Seattle, WA",,Qualtrics,https://www.qualtrics.com/,"At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 19,000 clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. That’s where we come in. 
+
+Founded in 2002, our company has spent over 21 years working with the industries that impact you every day. From retail to government to healthcare, we’ve been on a mission to bring humanity, connection, and empathy back to business. It’s a mission that thousands of Qualtricians across the globe think is work worth doing.
+
+Mission: At Qualtrics, our mission is to build technology that closes experience gaps.","At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.Machine Learning Engineer IIWhy We Have This RoleWe are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!How You’ll Find SuccessWork in a supportive environment enables individual growth and achievement of team goalsCollaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customersDevelop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning modelsImplement new features and optimize existing ones to delight our customersHow You’ll GrowWork in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing businessBuild and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.Things You’ll DoWork closely with, and incorporate feedback from other specialists, tech-ops, and product managersLead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacityAttend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customersFinding quick ways to prototype and test possible solutions to large problemsWhat We’re Looking For On Your ResumeBachelor’s degree in Computer Science or related fields.2-5 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.Strong Computer Science fundamentals in algorithm design, complexity analysis, and performanceExperience with data preparation and manipulation for high quality model resultsExperience building and representing data models. Single and Mutli factExperience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented designExperience with applied machine learning models and large-scale ML systemsWhat You Should Know About This TeamThe Insights Generation team strives to create the highest-quality and most accurate insights for Qualtrics customers. We leverage all methodologies and look to build/consume new data assets that will improve insight quality to a class-leading level. We also work heavily with text and omnichannel data to incorporate human feedback into our insights.Our engineers collaborate closely with platform teams to ensure our products are tightly integrated and consistent with core platform behavior while having the flexibility to choose our architecture and the independence to quickly deliver on our business vision. The team’s focus on class-leading insights and customer value offers a fantastic opportunity to drive your career development and build a strong foundational understanding across Qualtrics systems.Our Team’s Favorite Perks And Benefits$1800 Experience bonus to be used for an “Experience” of your choosingUnlimited Sick DaysWe spend 10% of our time on individual engineering growth activities every quarterAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection ActQualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.Washington State Annual Pay Transparency Range$136,000—$257,000 USD",Entry level,Machine Learning Engineer II - Data and Insights
+582,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is dynamic, fast-pacing, collaborative and impact-driven.Responsibilities - What You'II Do Build industry-leading recommendation system, improving user experience, content ecosystem and platform security; Deliver end-to-end machine learning solution to address critical product challenges; Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.QualificationsMinimum Qualifications Bachelor degree in computer science or a related major, with 3+ years of related work experience; Strong software development experience with C++, Python or other programming language; Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product; Strong communication and teamwork skills; Passion about techniques and solving challenging problems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $126000 - $221760 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer, Feed Quality"
+583,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+584,2025-03-31,San Ramon,California,Grid Dynamics,http://www.griddynamics.com,"Grid Dynamics empowers enterprise-scale companies to drive revenue growth, boost efficiency, and maximize the impact of their digital modernization initiatives. 
+
+Our clients span diverse industry verticals such as Retail, Manufacturing and CPG, Insurance, Wealth Management, Banking and Payments, Pharma and Life Sciences, and High-tech. We co-innovate with clients to help them solve complex business challenges and uncover new revenue streams through our technology consulting, platform and product engineering, AI, and advanced analytics services. 
+
+With expertise in simplifying and modernizing business operations, we enable clients to make data-driven decisions and support an evolving digital customer, from initial engagement to post-purchase support, driving efficiency and growth across business operations. 
+
+In addition to our work with enterprise leaders, we serve as a trusted co-innovation partner for startups, helping them address key challenges and transition into young enterprises poised for sustainable growth. By combining our deep technical expertise with a collaborative approach, we empower businesses—from startups to enterprises—to reach new heights.
+
+A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, application modernization, cloud & DevOps, and customer experience. Grid Dynamics offers a range of starter kits to its clients, enabling increased speed-to-market with business driving solutions.  
+
+Grid Dynamics is headquartered in Silicon Valley with a global footprint (Americas, Europe, and India) and a follow-the-sun delivery model bolstered by engineering talent driven by innovation, technical mastery, and resulting in transformational business outcomes.","We are seeking a highly skilled ML Engineer to join our team. You will work on creating robust and scalable systems, enhancing our project code base, and ensuring seamless integration pipelines.Responsibilities : Design and implement complex LLM applications for enterprise-scale solutionsLead LLM quality evaluation initiatives, including developing metrics and automated testing frameworksDrive LLM/VLM fine-tuning projects, including dataset preparation and optimizationDevelop and maintain ML pipelines following MLOps best practicesCollaborate with cross-functional teams to integrate ML solutionsMentor team members on ML engineering best practicesContribute to architectural decisions for ML systemsEvaluate and implement new ML technologies and frameworksDocument technical designs and maintain engineering standardsRequirements: 5+ years of experience in Machine Learning EngineeringDeep expertise in designing and implementing complex LLM applications, including multimodal, RAG, and agent-based systemsProven experience with LLM quality evaluation, including metric design and automation frameworksStrong background in LLM/VLM fine-tuning and distributed training frameworks (Ray or similar)Expert-level Python programming skills with focus on ML/data applicationsSolid understanding of MLOps and LLMOps principles and best practicesExperience with production ML systems and scalable data processing pipelinesMS/PhD in Computer Science, Machine Learning, or related field preferredWhat we offer: Opportunity to work on bleeding-edge projects.Work with a highly motivated and dedicated team.Competitive salary.Flexible schedule.Benefits package - medical insurance, sports.Corporate social events.Professional development opportunities.NB:Placement and Staffing Agencies need not apply. We do not work with C2C at this time.At this moment, we are not able to process H1B transfers. Applicants with CPT and OPT visas are welcome to apply.About Us: Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe.To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.",Mid-Senior level,Machine Learning (ML) Engineer
+585,2025-04-02,California,94086,Intuitive,http://www.intuitive.com,"Intuitive (Nasdaq: ISRG), headquartered in Sunnyvale, Calif., is a global technology leader in minimally invasive care and the pioneer of robotic-assisted surgery. At Intuitive, we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.","Company DescriptionAt Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.Job DescriptionPrimary Function of Position:Are you passionate about designing software solutions that enable complex user interfaces and user interactions? We are looking for someone who thrives in a collaborative product development environment and wants to push the boundaries of what is possible in surgical robotics today! Join our team of passionate and dedicated software, computer vision and machine learning engineers to develop real-time sensing and perception technologies that support complex human machine interfaces for next- generation robot-assisted surgery platforms.The successful candidate must excel in a high-energy, focused, small-team environment, and must have a solid track record of taking machine learning, deep learning, and computer vision technologies to product. A sound sense of mutual responsibility and shared reward is required.As part of the User Interaction Algorithms team, immediate responsibilities include:Participate in the design, development, and optimization of computer vision and machine learning based solutions for state-of-the-art user interfacesSupport tools to facilitate machine learning pipelines and automated workflowsTest and maintain large databases of surgical video, system data, and meta dataWork closely with research data scientists throughout analysis, visualization, and modeling effortsDevelop tools and methods for rigorous testing of algorithms prior to product launchPlay a central role in putting models into production and developing tools to monitor product performance in the fieldSupport multiple engineering and analytics teams in collecting, accessing, and analyzing dataAdditional Responsibilities IncludeStudy and improve algorithm performance metrics that correlate with user experience, and that can be used to drive continuous improvementKeep current with our software/hardware development efforts and understand overall trends in AI, ML and Cloud technologiesContinuously explore optimal data coverage for various use casesQualificationsSkill/Job Requirements:Minimum bachelor or master’s degree in Computer Science, Software/Computer Engineering, Applied Math, or related fieldMinimum 4-6 years commercial development experience with strong preference for candidates with medical device products. Experience developing computer vision software algorithmsHands-on experience developing computer vision and machine learning systems for products. Experience in medical or other regulated industries is a plusEnd-to-end experience with deep-learning-based products, including data engineering and pipelines for model training, deployment, and monitoringExperience with machine learning operations, tools, and workflowsSolid understanding of computer vision concepts including multi-view geometry, scene understanding, feature detection, and trackingExperience with one of the major ML frameworks (e.g., PyTorch, TensorFlow)Excellent software design, problem solving and troubleshooting skillsExcellent understanding of data structures and algorithmsExcellent Python, GNU, design pattern, OOP, and C/C++ programming skillsSolid mathematical foundation in linear algebraHigh-level of proficiency with databases in a Linux environment, including creating database schemasWorking knowledge of shell scripting and writing applications in PythonWorking knowledge of Docker and experience with AWS/cloud storage, Linux system, docker and job-scheduler is a plusExcellent teamwork and communication skills (both in oral and written)Additional InformationDue to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.Intuitive is an Equal Employment Opportunity. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.Mandatory NoticesWe will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.Base Salary Range Region 1: $161,500 USD - $232,500 USDBase Salary Range Region 2: $137,400 USD - $197,700 USDShift: DayTravel: NoneWorkplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.",Mid-Senior level,Machine Learning Engineer
+586,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Leading projects or small teams of people to help them unblock, advocating for ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapsCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Exposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+587,2025-04-02,Irvine,CA,Rivian,https://careers.rivian.com/,"Doing something different is never easy. It requires courage, optimism and grit. Core to our mission is building a team of adventurous individuals determined to make a positive impact on the world. This means challenging ourselves constantly. Stretching beyond the bounds of conventional thinking. Reframing old problems. Seeking new solutions. And operating comfortably in a space of uncertainty. While our backgrounds are diverse, our team shares a love of the outdoors and a desire to protect it for future generations. Do you like doing the impossible? We’d love to hear from you.","R | V Tech’s Core Data Team is searching for a talented Analytics and Data Engineer or a Senior Analytics and Data Engineer to design and implement scalable Extract, Load, Transform (ELT) pipelines, develop SQL and Python-based transformation logic, and ensure our data infrastructure supports seamless interaction with data across the company. In this role, the Analytics and Data Engineer will set the standard for R | V Tech’s Data Engineering best practices while also contributing to high-impact projects and enabling teams to leverage data effortlessly. This joint venture is experiencing significant growth, and this role will focus on selecting and building patterns that enable us to scale efficiently while maintaining high standards of data quality and accessibility.  Design, build, and maintain scalable Extract, Load, Transform (ELT) pipelines and workflows that transform raw data into actionable insights.Develop and optimize SQL and Python-based transformation code to process and curate data for analytics and reporting.Architect data models and schemas that enable self-service analytics and ensure data accuracy and consistency.Collaborate with cross-functional teams to identify data needs, create reusable data patterns, and implement best practices.Monitor and improve the performance and reliability of data pipelines, platform and infrastructure.Champion data quality through validation processes, monitoring frameworks, and automated testing.Partner with platform engineers to integrate new tools, technologies, and frameworks into the data ecosystem.Act as a mentor and thought leader for the data engineering community within the organization.Streamline tools and processes, mature existing patterns, and establish new patterns as needed scale gracefully across ingestion, governance and analytics to allow the organization to scale gracefully.Why Join the Core Data Team? Real-World Impact: See your ideas drive real-world impact across some of the world’s most recognized car brands.New Challenges: From zonal architecture to in-vehicle intelligence, work on cutting-edge technologies and challenging technical problems to define what’s next for the automotive experience.Engineering-Led: Thrive in an Engineering-Centric Culture that embraces first principles thinking to build scalable solutions. Highly Collaborative: Collaborate with teams of talented passionate Engineers and who believe the best work comes from bringing bold and diverse thinkers together. Opportunities: Professional Development, Career Advancement, and Tuition Reimbursement.Benefits: Health, Well-Being, Financial, and LGBTQIA2+ Benefits start on Day 1Time Away from Work: We’re passionate about creating a better way to explore the world, which includes a variety of ways to give Employees the time they need to rest, recharge, and go exploring. Cultivating Inclusion and Belonging: Read our 2024 Impact Report to learn more about our beliefs that inclusivity and equity are essential for meaningful and lasting social and environmental solutions.You might be a great fit if you also happen to be a fan of Data, Food, and Pets. Required:Office Location Requirement: Ability to work from R | V Tech’s Yaletown Office at least three days per week is required for this role.Work From Home: Ability to work from home two days a week is supported as well. On-Call: Participation in a rotating on-call schedule, including occasional weekends, late nights, and holidays, to resolve critical production issues is also required.Education: At least a Bachelor’s Degree is required for this role. Experience: At least 2 years of professional experience is needed for this role. Data Engineering and  Data AnalyticsBuilding and Managing data platforms.BI and Analytics tools like Tableau, Looker, and Microsoft Power BI, along with their integration into data platforms.Skills: Strong communication and collaboration skills are essential to excel in this role as our Core Data Team partners with and supports colleagues across the business with varying levels of technical expertise.Strong problem-solving skills and a passion for creating efficient, maintainable, and scalable data systems.Expertise in SQL and Python for data transformation and pipeline development. Programming languages for data manipulation, analysis, and visualization.Preferred:Bachelor’s Degree with a major in Computer Science, Engineering, Statistics, Mathematics, or a similar discipline is highly preferred.Master's Degree or PhD is highly preferred but not required.Strong experience with Extract, Load, Transform (ELT) patterns and modern data stack tools such as fivetran, dbt, Databricks (preferred), Snowflake, BigQuery is highly desirable. Experience with any data quality, data security and monitoring initiatives is preferred. Experience with orchestration tools like Airflow or similar is also preferred. ",Mid-Senior level,Staff Analytics and Data Engineer
+588,2025-03-28,San Francisco,California,Scale AI,https://scale.com,"At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 
+
+The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
+
+Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. ","The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.We are building a large hybrid human-machine system in service of ML pipelines for Federal Government customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.You will:Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers. Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines Work with massive datasets to develop both generic models as well as fine tune models for specific products Build the scalable ML platform to automate our ML service Be a representative for how to apply machine learning and related techniques throughout the engineering and product organizationBe able, and willing, to multi-task and learn new technologies quickly This role will require an active security clearance or the ability to obtain a security clearance.Ideally You’d Have:Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment Solid background in algorithms, data structures, and object-oriented programming Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch Nice to Haves:Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience with generative AI models Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$224,400—$293,250 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$201,960—$263,925 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.",Entry level,"Machine Learning Engineer, Public Sector"
+589,2025-04-09,Newark,CA,Intelliswift - An LTTS Company,https://www.intelliswift.com,"Intelliswift, an LTTS company, is a global leader in Digital Product Engineering, Data & AI, and Digital Enterprise Solutions. We empower businesses to leverage cutting-edge technologies and pioneering strategies throughout their digital transformation journey. Our expertise in data-rich modern platforms and people-centric solutions ensures that companies can navigate and thrive in the digital era. We address critical pain points across a diverse range of industries, including Platform & Technology, Fintech, MedTech, Energy & Utilities, Manufacturing, and Retail. Whether it's optimizing operational efficiency, enhancing customer experiences, or enabling digital transformation, we are committed to providing tailored solutions that meet the unique needs of each industry we serve.
+
+Guided by our core values of Transparency, Respect, Integrity, and Passion, we drive innovation and excellence at every step. As a certified Minority Business Enterprise (MBE), we are deeply committed to diversity, equity, and inclusion (DEI). This commitment is reflected in all our transactions and underscores our dedication to fostering an inclusive environment. Trusted by Fortune 500 companies, SMBs, ISVs, and fast-growing startups, Intelliswift is the partner of choice for organizations seeking to revolutionize and excel in the digital landscape.
+
+Learn more at www.intelliswift.com  
+","Title: Machine Learning EngineerLocation: Plano, TX Duration: : 6 Months of contract with possibility of extensionJob Overview:The client is seeking a Machine Learning Engineer with a strong background in software development (60%) and data science (40%), specifically to transform legacy SAS code into modern Python-based solutions using AWS SageMaker and Snowflake.  Must-Have Skills:Strong Python & SQL – Core programming skills for model development and pipeline building.SAS Experience – Ability to understand and convert legacy SAS code to Python.AWS SageMaker & Snowflake – Hands-on experience deploying ML models in cloud environments.Testing Strategies – Unit, integration, and end-to-end testing for ML pipelines.Software Development Practices – Version control (Git), CI/CD, infrastructure-as-code.  Nice-to-Have Skills:AWS Solutions Architect Associate certificationAPI frameworks (Flask, FastAPI)Background in quantitative fields (Stats, Math, CS, Engineering, etc.)Intelliswift is committed to fair and equitable compensation practices. The range provided for this position is determined by various factors including, but not limited to, relevant work experience, skills, certifications, and location. Intelliswift offers medical insurance, dental insurance, vision insurance, supplemental life and AD&D insurance, and any other benefits per state law. Equal Employment Opportunity StatementIntelliswift celebrates a diverse and inclusive workforce. We offer equal employment opportunities to all applicants and employees. All qualified applicants will be considered regardless of race, color, sex, gender identity, gender expressions, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other protected basis under the law. Americans with Disabilities Act (ADA)If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact Intelliswift Human Resources Department.Other Employment StatementsIntelliswift participates in the E-Verify program. Learn MoreFor information on Intelliswift Software, Inc., visit our website at www.intelliswift.com.",Mid-Senior level,Machine Learning Engineer
+590,2025-03-25,Indianapolis,Indiana,Brooksource,http://www.brooksource.com,"Here at Brooksource, relationships are at the center of everything we do. Since 2000, we have established and maintained lasting relationships with our clients, consultants, and internal employees to create an unparalleled experience. 
+
+Brooksource is a trusted provider of Engineering & Technology solutions for Fortune 500 organizations, specializing in Experience-Driven Staffing, Professional Services, and our innovative Workforce Transformation program, Elevate. Leveraging our partnerships with Salesforce, AWS, Microsoft, Google Cloud, and other leading technology alliances, we have the expertise and capabilities to deliver creative resourcing strategies. 
+
+In today’s evolving digital landscape, the convergence of Engineering & Technology is revolutionizing industries, reshaping our world. As organizations seek partners to navigate this transformative journey, we provide strategic guidance and tailored services that drive value and innovation. By collaborating closely with our customers, we identify opportunities to optimize technical investments, streamline operations, & enhance overall business performance.
+
+With our expanding national footprint, Brooksource is committed to setting new standards for Engineering & Technology service providers. We’re proud of our ongoing dedication to prioritizing relationships and enabling workforces for the future.
+
+Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.","Machine Learning EngineerAtlanta, GAThe Staff Machine Learning Engineer will join a product team to contribute to software and algorithm design, and the overall product lifecycle. This role involves daily collaboration, designing and implementing AI/ML algorithms, performance tuning, testing, and product monitoring. Responsibilities also include customer outreach, educational material design, and data engineering.Major Tasks, Responsibilities & Key Accountabilities:Delivery and Execution (45%): Collaborates with product team members to create secure, scalable machine learning solutions. Ensures user stories are developer-ready and testable. Configures commercial solutions to meet business needs. Creates dashboards, logging, alerting, and proactive issue responses.Learning (15%): Engages in learning activities around software design, machine learning, and development practices. Views articles, tutorials, and videos to learn new technologies. Attends conferences to apply new innovations.Strategy and Planning (20%): Researches business trends and data to identify improvement opportunities. Evaluates and recommends technology products and platforms. Designs infrastructure, network, database, security, and machine learning architectures. Creates and maintains monitoring tools. Participates in project planning and management.Support and Enablement (20%): Fields questions from product and support teams. Encourages collaboration across teams. Provides application support for software in production. Monitors production Service Level Objectives and reviews performance and capacity.Preferred Qualifications:Experience with algorithms (clustering, forecasting, anomaly detection, neural networks).Experience with statistics and regression algorithms.Advanced machine learning techniques (NLP, convolutional neural networks, autoencoders, embeddings).Training machine learning models with large datasets.Data Analysis and Machine Learning Tools (Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, PyTorch).GPU acceleration (CUDA, cuDNN).Google Cloud Platform (Vertex AI, BigQueryML, AutoML).Effective data engineering practices and big data platforms (BigQuery, Data Store).Modern scripting language (Python preferred).Modern web application frameworks (Node.js).Front-end technology and frameworks (HTML, CSS, JavaScript, ReactJS, D3).SQL queries against relational databases.Version control systems (Git preferred).Linux or Unix-based environment.CI/CD toolchain.REST and web service design.Production systems design (High Availability, Disaster Recovery, Performance, Efficiency, Security).NoSQL databases.Cloud computing platforms and automation patterns.Defensive coding practices for high availability.A/B testing and scalable web services architecture.Advanced machine learning architectures (GANs, GRU, LSTMs, RNNs, CNNs, style transfer).",Mid-Senior level,Machine Learning Engineer
+591,2025-04-02,San Francisco,California,Candid Health,https://www.joincandidhealth.com,"Candid Health is building a modern medical payments platform that enables healthcare providers to focus on delivering high-quality, affordable and accessible care, rather than spending half their time figuring out how to get paid by insurance.","What You’ll Be DoingYou’ll contribute to Candid Health’s product development. You’ll ensure there is UX consistency across various pages/components within the Candid app. You’ll interact closely with our current and prospective customers, developing intuition around their biggest pain points and thinking of creative ways to address them. You’ll play a critical role in shaping our engineering and broader company culture and help make this the best place we’ve ever worked. You’ll ensure we’re using the most relevant front end libraries and tooling. You'll have opportunities to build tooling and improvements for front-end dev ops. You’ll be responsible for front end profiling and monitoring. Who You AreYou have Bachelors of Science or Bachelors of Arts/Sciences in Computer Science, Computer Engineering, Mathematics, or similar degree. You have 4+ years of experience in a Software Engineering position. You have experience with HTML, CSS, React, Typescript, and API development. You may have experience with server-side rendering, GraphQL, Tailwind, Firebase, and Codegen. You have great instincts around UX / Design. You take pride in your craft and enjoy building high-quality software but also believe that “done is better than perfect” and have good intuition around which corners are worth cutting and which aren’t. You have a learner’s mindset and value teaching others. You have a customer-first mindset. You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing. Pay TransparencyThe estimated starting annual salary range for this position is $135,000 to $230,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles.",Entry level,"Software Engineer, Front End"
+592,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOur team's mission is to empower content understanding in TikTok businesses. Computer vision and natural language processing are important dimensions in video content understanding. We are working on cutting-edge content understanding topics including weakly-supervised learning, few-shot classification, video tagging, multi-task learning, multi-lingual learning, multi-modality pretraining, etc. As a content understanding team on the business side, we try to succeed in both achieving business metric gains (recommendation metrics), and also producing state-of-the-art research outputs.Responsibilities Conducting development and research on cutting-edge CV, NLP, multi-modality and recommendation topics Following SoTA progress in relevant fields and transform the ideas into production Life-cycle model development, from model training, deployment, maintenance, till its use in business scenariosQualifications Experience in one of more areas of computer vision, natural language processing and machine learning Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow, MXNet, Caffe/Caffe2) Familiar with deep neural network architectures such as transformer/SSM/CNN/RNN/LSTM etc Strong analytical and problem solving skills Ability to work collaboratively in cross-functional teamsPreferred Qualifications: Degree in computer science, electrical engineering or related fields Authors with publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLRTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at gprd.accommodations@tiktok.com.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $126000 - $221760 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Content Understanding"
+593,2025-03-06,Houston,Texas,Attractivate Consulting Solutions,https://attractivate.com/,"Attractivate Consulting Solutions is a team of industry experts who understand the dynamic and critical role that technology has in driving business success. Specializing in IT Consulting, Staff Augmentation, Project Services, and Direct Hiring, our mission is to seamlessly integrate with your existing IT team.
+
+We believe in complementing your team's strengths by filling specific expertise or gaps with our deep pool of professionals. Whether you're looking to bolster cyber defense, enhance digital infrastructure, develop applications, implement AI features, support data engineering, or accelerate development projects, Attractivate can deliver specific expertise or cover critical gaps.
+
+With access to a nationwide network of experts, we provide precise solutions that align with your unique business needs. Our focus is on providing consulting and project services that help you solve challenges. We take the time to understand your latest talent needs, find qualified individuals to fill the seats or project requirements, and provide you with access to the right people for the job.
+
+Our approach is collaborative and transparent. We ensure that we act as a reliable extension of your team, contributing to your projects and goals with efficiency and expertise. Trust us to enhance IT capabilities and drive your business forward.","About Us: Attractivate is at the forefront of innovation, leveraging advanced technologies to drive business success. We are looking for a talented Machine Learning Engineer to join our team and help us build intelligent systems that enhance our products and services.Job Description:Responsibilities:Design, develop, and deploy machine learning models and algorithms to solve complex business problems.Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver scalable ML solutions.Implement and optimize data pipelines and ETL processes to support machine learning workflows.Conduct thorough data analysis and preprocessing to ensure high-quality input for model training.Evaluate and fine-tune models for performance, accuracy, and scalability.Integrate machine learning models into production systems and monitor their performance.Stay updated with the latest advancements in machine learning and AI and apply them to improve existing solutions.Document processes, models, and results to ensure reproducibility and knowledge sharing.Technical Skills:Proficiency in programming languages such as Python, R, and SQL.Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).Knowledge of deep learning techniques and neural networks.Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).Familiarity with data visualization tools (e.g., matplotlib, seaborn, Tableau).Understanding of software development best practices, including version control (e.g., Git) and CI/CD pipelines.Functional Skills:Excellent problem-solving and analytical skills.Strong communication and collaboration skills to work effectively with cross-functional teams.Ability to translate business requirements into technical specifications and ML solutions.Strong attention to detail and commitment to delivering high-quality results.Ability to work independently and manage multiple projects in a fast-paced environment.Qualifications:Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.5+ years of experience in machine learning or a related field, with a proven track record of deploying ML models in production.Relevant certifications in machine learning and AI are a plus.",Mid-Senior level,Machine Learning Engineer
+594,2025-03-24,London,England,Storm2,https://www.storm2.com,"Storm2 are the leaders in FinTech recruitment, connecting organisations with the talent to drive their mission. 
+
+Storm2 was launched in 2019 when we identified a need for specialist talent within a hyper growth sector. We have a unique understanding of our clients, having achieved over $11m in investment since launch, and scaling quickly across the US.
+
+We take a micro niche approach to FinTech recruitment, with each of our expert consultants solely operating in one of the key verticals needed to scale a FinTech: Engineering, DevOps, Commercial, Risk, Compliance, Product Management, Finance & Operations. This means that each of our consultants has the richest network of FinTech professionals in the market.
+
+We are the leading provider of FinTech-focused information to clients for market compensation and best practice in diversity, hiring and retention.
+
+Our mission is to be the recruitment arm of the FinTech industry, connecting the very best senior FinTech talent with innovative businesses worldwide. 
+
+Storm2 is a trading division of Levin.","Job Title: Machine Learning Engineer Location: Remote Employment Type: Full-time Reports to: CTOWe are looking for an experienced and highly motivated Machine Learning Engineer to join our clients team. They are a fast-growing, well-funded startup developing AI-powered tools for financial professionals. About the Role: As a Machine Learning Engineer, you will:Design, develop, and maintain machine learning systems, including generative AI, speech recognition, and language modeling workflows.Collaborate with other developers to integrate these models into production environments.Develop and maintain unique data sets for both internal and external use.Stay up to date with industry advancements and explore new model innovations.About You: We’re looking for engineers who align with our startup culture and share our core values:Driven by curiosity and a passion for delivering meaningful value to customers.Committed to building high-quality tools and paying attention to every detail.Dedicated to writing clean, maintainable code that empowers the team.Thrive in a collaborative environment with minimal bureaucracy.Adaptable, comfortable with taking on different roles and learning new technologies.Understand that working at a startup sometimes requires flexibility in hours and responsibilities.Prioritize initiative and getting things done over rigid processes.We believe the best communicators are those who teach with empathy, align teams, and drive them to accomplish more quickly. If you are excited by the opportunity to join a mission-driven team, help build something transformative, and position yourself within a leading company, we’d love to connect.Highlighted Benefits:Fully remoteCompetitive salary100% company-covered medical, dental, and vision insuranceWell-funded Health Savings Account (HSA)401k and equity planFlexible work environment focused on results, not hoursUnlimited PTO (for real)You’ll thrive here if you:Have 3+ years of experience in data science or machine learning.Are proficient in tools and practices for industry-standard generative AI systems.Have strong knowledge of relational databases like Postgres and MySQL.Have excellent communication and collaboration skills.Are excited by the challenges and opportunities of working in a startup.",Director,Machine Learning Engineer
+595,2025-04-09,Seattle,WA,Tableau,http://www.tableau.com,"Tableau helps people see, understand, and act on data.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.We're seeking exceptional Machine Learning Engineers to advance Agentforce's agent capabilities. In this role, you'll develop fully-autonomous agents with planning, reasoning, and verifiable action execution, while enabling tool use, computer use, and code execution at scale, developing memory architecture, and multi-agent interactions. You'll drive innovation at the intersection of research, incubation and product. By creating state-of-the-art solutions, you'll transform how organizations leverage AI in their workflows, applying your expertise to solve real enterprise challenges and shape the future of AI technology.ResponsibilitiesAgentic AI System Backend/Frontend Development:Develop agentic system infrastructure and components, including planning and reasoning engines, tool use, computer use and code execution environments, memory architecture, multi-agent orchestration layer, human-agent interaction, etc.Design, implement, and tune robust APIs and API framework-related features.Create visualization interfaces for system demonstration and rapid development iteration.Prompt Engineering and Optimization:Design and experiment with creative prompts to optimize the performance of LLMs for specific use cases, ensuring accuracy, relevance, and efficiency. Implement techniques like few-shot learning, chain-of-thought prompting, and context tuning to enhance LLM outcomes for AI agents.AI Model Development, Evaluation and Deployment:Finetune AI model for agentic use case.Develop metrics and tools to evaluate model performance, reliability, and trust.Deploy LLM models into production systems, ensuring scalability, security, and efficiency.Collaboration and Research:As a machine learning engineer from the AI research team, you collaborate with researchers, product managers, engineers, and designers to identify and implement AI-driven solutions for internal incubators. Stay at the forefront of LLM research and emerging technologies to recommend and integrate advancements into Salesforce’s AI strategy.Educational Background:Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.Technical Skills:Strong expertise in LLMs/MLMs (e.g., GPT, Gemini, Claude, Llama, Mistral, Qwen, Deepseek, etc.) and prompt engineering techniques.High proficiency in Python programming language. Experience in Java is a plus.Preferred QualificationsExperience in developing complex agentic systems using LLMs.Experience in REST-based API development, API lifecycle management and/or client SDKs development.Experience in frontend development for system demonstration, such as using tools like Streamlit, Chainlit, etc.Experience with large-scale reinforcement learning techniques.Proficiency in popular Deep Learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).Prior experience in building AI solutions for enterprise software or SaaS platforms.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $172,000 to $236,500.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Not Applicable,"Senior Machine Learning Engineer, AI Research"
+596,2025-03-25,San Francisco,California,Nextdoor,https://nextdoor.com,"Nextdoor is where you connect to the neighborhoods that matter to you so you can thrive. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services.
+
+We believe connecting with others is a universal human need. That truth, and the reality that neighborhoods are among the most important communities in our lives, have been guiding principles for Nextdoor since the beginning.
+
+Today, neighbors rely on Nextdoor in more than 340,000 neighborhoods across 11 countries. In the U.S., 1 in 3 households uses the network.
+
+Nextdoor is based in San Francisco. For additional information and images: nextdoor.com/newsroom.
+
+Nextdoor is free, and it's easy to sign up. Get started at https://nextdoor.com.
+
+For media inquiries, email us at press@nextdoor.com.
+
+For customer support, reach us at http://nextdoor.com/support.","#TeamNextdoorNextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.Meet Your Future NeighborsAt Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including our newsfeed, our notifications, and our ads relevance. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live.At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees.The Impact You’ll MakeYou will be part of a scrappy and impactful team building data-intensive products, working with data and features. You will help build the foundational Machine Learning (ML) infrastructure that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform. You should be comfortable with petabytes of data, writing crisp design documentation, and building, debugging, and maintaining highly available distributed systems. The Machine Learning platform that you build will empower developers throughout Nextdoor to build better ML products more quickly than ever before.Your Responsibilities Will IncludeYou will design, implement and integrate the next generation of Machine Learning infrastructure to empower our Data Scientists and Machine Learning engineers to build machine learning (ML) models that make real-time decisions for the Nextdoor platformYou will collaborate with other engineers and data scientists to create optimal experiences on the Core ML platform, including but not limited to: the featurestore, the real-time serving layer and the offline training systemWhat You’ll Bring To The TeamMaster / Ph.D. in Computer Science, Applied Math, Statistics, Engineering or a related field3+ years of industry experience of applying machine learning at scale3+ years of experience in building performant and scalable backend servicesExperience with Python, Kubernetes, Go, Kafka, Docker, Spark, SQL, AWS and the Unix environmentExperience with machine learning libraries and frameworks like Xgboost, Sklearn, TensorFlow, PyTorch, etcA deep empathy for customer needs and insights as well as an intuitive grasp of the business problems we’re trying to solveExtensive experience in one or more of the following languages: Python, Go, Java, or ScalaExperience in designing, building, and debugging distributed systemsProven engineering skills. Experience of writing and maintaining high-quality production codeA strong ability to partner with other data engineers throughout the company, and consult, design, and review their projectsStrong collaboration and communication skills, both verbal and writtenAbility to succeed in a dynamic startup environmentRewardsCompensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography.The starting salary for this role is expected to range from $205,000 to $336,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.We expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date will take place within 3 months of your start date.When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.",Mid-Senior level,Machine Learning Engineer - Infrastructure
+597,2025-04-09,Seattle,WA,Tableau,http://www.tableau.com,"Tableau helps people see, understand, and act on data.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.We're seeking exceptional Machine Learning Engineers to advance Agentforce's agent capabilities. In this role, you'll develop fully-autonomous agents with planning, reasoning, and verifiable action execution, while enabling tool use, computer use, and code execution at scale, developing memory architecture, and multi-agent interactions. You'll drive innovation at the intersection of research, incubation and product. By creating state-of-the-art solutions, you'll transform how organizations leverage AI in their workflows, applying your expertise to solve real enterprise challenges and shape the future of AI technology.ResponsibilitiesAgentic AI System Backend/Frontend Development:Develop agentic system infrastructure and components, including planning and reasoning engines, tool use, computer use and code execution environments, memory architecture, multi-agent orchestration layer, human-agent interaction, etc.Design, implement, and tune robust APIs and API framework-related features.Create visualization interfaces for system demonstration and rapid development iteration.Prompt Engineering and Optimization:Design and experiment with creative prompts to optimize the performance of LLMs for specific use cases, ensuring accuracy, relevance, and efficiency. Implement techniques like few-shot learning, chain-of-thought prompting, and context tuning to enhance LLM outcomes for AI agents.AI Model Development, Evaluation and Deployment:Finetune AI model for agentic use case.Develop metrics and tools to evaluate model performance, reliability, and trust.Deploy LLM models into production systems, ensuring scalability, security, and efficiency.Collaboration and Research:As a machine learning engineer from the AI research team, you collaborate with researchers, product managers, engineers, and designers to identify and implement AI-driven solutions for internal incubators. Stay at the forefront of LLM research and emerging technologies to recommend and integrate advancements into Salesforce’s AI strategy.Educational Background:Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.Technical Skills:Strong expertise in LLMs/MLMs (e.g., GPT, Gemini, Claude, Llama, Mistral, Qwen, Deepseek, etc.) and prompt engineering techniques.High proficiency in Python programming language. Experience in Java is a plus.Preferred QualificationsExperience in developing complex agentic systems using LLMs.Experience in REST-based API development, API lifecycle management and/or client SDKs development.Experience in frontend development for system demonstration, such as using tools like Streamlit, Chainlit, etc.Experience with large-scale reinforcement learning techniques.Proficiency in popular Deep Learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).Prior experience in building AI solutions for enterprise software or SaaS platforms.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $172,000 to $236,500.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Not Applicable,"Senior Machine Learning Engineer, AI Research"
+598,2025-01-15,Monmouth Junction,NJ,First Soft Solutions LLC,http://www.firstsoftsolutions.net,"When you hire First Soft Solutions, you're hiring a strategic technology consulting partner committed to helping you meet your unique business and technology objectives on time, on budget and with an optimal experience. We apply the expertise of our global community of technology experts, an unmatched portfolio of proven solutions, flexible delivery and a laser focus on the Microsoft enterprise platform to help you increase revenue, reduce costs and reinvest in innovation for competitive advantage. And we bring unique connections with our clients and Microsoft, enhancing our ability to deliver effective mission-critical solutions for organizations across all industries. When selecting an First Soft Solutions solution, you'll receive the best of our thinking and experience. Based on engineered, tested and reusable technology assets, our solutions are proven to help customers streamline operations, create new products and services, optimize collaboration across all groups and boundaries, and serve their customers better.","We are actively hiring for Senior Machine Learning EngineerFull TimeExperience: 8+ yearsMust-Have SkillsMinimum of 8 years of experience in machine learning and deep learning (Python, scikit-learn, XGBoost).Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras.Hands-on experience in Natural Language Processing (NLP).Proficiency in software development practices, including Git, PEP-8 standards, and Python advanced programming techniques.",Mid-Senior level,Machine Learning Engineer
+599,2025-03-20,Indianapolis,Indiana,Brooksource,http://www.brooksource.com,"Here at Brooksource, relationships are at the center of everything we do. Since 2000, we have established and maintained lasting relationships with our clients, consultants, and internal employees to create an unparalleled experience. 
+
+Brooksource is a trusted provider of Engineering & Technology solutions for Fortune 500 organizations, specializing in Experience-Driven Staffing, Professional Services, and our innovative Workforce Transformation program, Elevate. Leveraging our partnerships with Salesforce, AWS, Microsoft, Google Cloud, and other leading technology alliances, we have the expertise and capabilities to deliver creative resourcing strategies. 
+
+In today’s evolving digital landscape, the convergence of Engineering & Technology is revolutionizing industries, reshaping our world. As organizations seek partners to navigate this transformative journey, we provide strategic guidance and tailored services that drive value and innovation. By collaborating closely with our customers, we identify opportunities to optimize technical investments, streamline operations, & enhance overall business performance.
+
+With our expanding national footprint, Brooksource is committed to setting new standards for Engineering & Technology service providers. We’re proud of our ongoing dedication to prioritizing relationships and enabling workforces for the future.
+
+Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.","AI/ML EngineerLong-term ContractOverviewOur Fortune 50 Healthcare Insurance client is seeking a highly skilled AI/ML Engineering resource to play a pivotal role in the development, expansion, operation, and maintenance of generative AI solutions. The primary responsibilities include running an experimental framework to determine the optimal prompt engineering approaches, tuning prompts, and collaborating with subject matter experts (SMEs) for evaluations and results. This role requires a deep understanding of evaluating models output in production, particularly when ground metrics are absent, monitoring for issues such as model drift and hallucinations, and optimizing for offline and online metrics. Key ResponsibilitiesScope, develop, expand, operate, and maintain scalable, reliable and safe generative AI solutions.Design and execute prompt engineering experiments to optimize Large Language Models (LLMs) for various use cases.Collaborate with SMEs to evaluate prompt effectiveness and align AI solutions with business needs.Understand and apply offline and online evaluation metrics for LLMs, ensuring continuous model improvements.Evaluate production models using live data in the absence of ground metrics, implementing robust monitoring systems.Monitor LLM applications for model drift, hallucinations, and performance degradation.Ensure smooth integration of LLMs into existing workflows, providing real-time insights and predictive analytics. QualificationsSolid experience in business analytics, data science, software development, and data engineering.Expertise in Python and frameworks such as PyTorch, TensorFlow, or ONNX.Hands-on experience working with LLMs and Generative AI, including model development and inference patterns.Proven ability to design scalable systems leveraging LLMs, particularly in distributed computing environments. Required SkillsExperience in prompt engineering and prompt optimization.Expertise in running experiments to evaluate generative AI performance.Knowledge of production-level monitoring tools for ML models, including drift detection and mitigation strategies.Excellent problem-solving skills and ability to work cross-functionally with data scientists, engineers, and SMEs.Experience with safety, security and responsible use of AI.Experience with red-teaming (adversarial testing) of generative AI.Experience with developing AI applications with sensitive data such as PHI, PII and highly confidential data.",Mid-Senior level,Machine Learning Engineer
+600,2025-03-31,Annapolis,Maryland,Eastport Analytics,http://www.eastportanalytics.com,"Since 1999, Eastport Analytics has been helping clients in Justice, Treasury, and related Federal departments harness analytics to drive compliance and enforcement outcomes. Our mission-driven innovation approach involves close collaboration with clients’ analysts in agile 30-90 day “mission trials,” aimed at delivering actionable insights to measurable mission effect, while operationally vetting & validating technology, data, and analytic methodologies.  We measure success by clients’ operational yardsticks - billions of dollars in recovered tax revenue, double-digit gains in compliance rates, hundreds of cases successfully prosecuted, terrorist and criminal activities measurably curtailed.
+
+Think you might have what it takes to join our crew?  Visit our website for job openings or contact hr@eastportanalytics.com","Eastport Analytics has an opportunity for a full time mid level Data Scientist with strong SQL & Python experience. As a Data Scientist, you will be performing data manipulation, data analysis, and data wrangling/ETL. You will be using statistical software and other exploratory data analysis (EDA) tools/techniques to inform senior leadership decision-making. You will be responsible for building, maintaining, executing, and documenting SQL models to ensure data is managed efficiently and effectively for our client. This role includes developing and implementing databases and data collection systems, acquiring data from primary and secondary sources, maintaining data ingest processes and identifying/analyzing/interpreting trends or patterns in complex datasets.At Eastport Analytics, our data subject matter experts, technologists, and domain/industry specialists work directly with financial investigators, auditors, and analysts to gain better insights out of existing structured/unstructured data and IT systems. These teams drive innovation that allows their clients to modernize their data strategy, understand and improve their data management, automate, and optimize their business and technological procedures, and build insights through modeling, reporting, and generalized data analytics. We measure success by our client’s mission accomplishments, be it higher compliance, improved asset recovery, or enhanced law/tax enforcement.Who You AreBachelors degree in quantitative field such as applied math, advanced or applied statistics, computer engineering, computer science, and econometrics.Four plus years of demonstrated experience in a corporate environment with SQL (i.e., ETL data and performing analytics) including the ability to build, maintain, understand, and modify complex SQL code.Advanced Python, SQL, and advanced Excel skills. Experience with data definition, data manipulation, and data wrangling using one or more relational databases including SQL Relational Database Management (RDMS).Experience with ETL and EDA processes, data mapping/processing/management.Experience with descriptive statistics and inferences to understand relationships between fields. Experience communicating with both technical and non-technical stakeholders, collaborating with cross-functional teams, and delivering projects through a variety of mediums (i.e., demonstrations, briefings, slide decks, etc.).Visualization skills-ability to visualize the data and use storytelling using advanced dashboarding skills to convey deep technical information to non-technical and/or domain users.Experience using Python libraries - Pandas, NumPy, Matplotlib.Ability to synthesize and summarize analytical project results that address client problems to client stakeholders.Demonstrated ability to work in a collaborative environment with strong organizational skills, attention to detail and the ability to work simultaneously on various projects with strict deadlines.Remote or hybrid options are available. Must be willing to collaborate during East Coast core work hours M-F 9 AM to 5 PM Eastern time. Must be interested in joining quarterly corporate All Hands meetings in the DC area. Must be able to successfully pass a background investigation to obtain and maintain a public trust clearance. The clearance requirements are US Citizenship. As An Ideal Candidate, You Will HaveActive Treasury Public Trust Clearance is highly preferred. In addition to Bachelors degree, a rigorous data science boot camp or Masters degree in quantitative related field such as statistical analysis or advanced statistics.MD, VA, DC local candidates are preferred.Experience with government contracting (Treasury) and/or federal financial regulatory environment highly preferred. R/SAS, Plotly, NoSQL and graph analytics, PyTorch, TensorFlow, Scikit, sidekick, NLP machine learning.Experience/understanding of regression modeling.Do you value making a measurable impact on the client’s critical mission? Do you thrive in a work environment that emphasizes and fosters collaboration, creativity, intellectual curiosity, innovation, flexibility, and professionalism? Eastport Analytics is an established, small, thriving MD based company offering a work-life balanced culture with full benefits and a competitive compensation package. This is a full-time salaried W-2 opportunity. The estimated base salary for this position is $85,000 to $148,000 (annualized USD). This full range is based on market data. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. Check us out at www.EastportAnalytics.com. Come join our team!In addition to a competitive salary, we offer a full benefits package including full medical, dental, and vision health insurance, life, short and long-term disability, 401k program, flexible spending account, radical flex time and a generous robust leave program, discretionary performance-based bonus program, professional development opportunities, employee assistance program, fun corporate events, and a work-life balance culture.Eastport Analytics is an Equal Opportunity Employer and committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, hair texture or protected hairstyle, veteran status, or genetic information. Eastport Analytics, Inc. is also committed to providing equal opportunity and access to individuals with disabilities by ensuring reasonable accommodations are provided to participants in the job application or interview process. To request a reasonable accommodation, contact hr@eastportanalytics.com.",Mid-Senior level,Data Scientist
+601,2025-04-03,New York,NY,Accrete,http://www.accrete.ai,"Accrete empowers government and business organizations to encode the tacit domain knowledge, judgement, and values of their best people into Expert AI Agents that they can trust to make complex, split-second decisions that drive exponential efficiency and growth.","Accrete is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology.At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiencyWe are looking for a talented Machine Learning Engineer to join our team and contribute to the evolution of our AI platform.Responsibilities:Design, develop, and optimize machine learning models and pipelines for deployment in production environments.Build scalable and efficient ML infrastructure to support data ingestion, model training, evaluation, and deployment.Collaborate with data scientists, engineers, and product teams to integrate ML solutions into Accrete’s platform.Implement best practices for model performance monitoring, versioning, and retraining.Work with cloud-based platforms and distributed computing frameworks to improve system efficiency.Optimize feature engineering, data preprocessing, and training workflows to improve model accuracy and efficiency.Ensure adherence to MLOps principles, including automation, CI/CD for ML, and reproducibility.Qualifications:Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field.3+ years of experience in designing and deploying machine learning models in production.Strong programming skills in Python and proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).Proficiency in distributed computing frameworks like Spark, Ray, or Dask.Experience with MLOps tools and techniques, including CI/CD for ML, model versioning, and monitoring.Familiarity with large-scale data processing, data engineering principles, and feature stores.Strong problem-solving skills, a proactive mindset, and the ability to work in a fast-paced, collaborative environment.Preferred Qualifications:Experience with reinforcement learning, NLP, or deep learning applications.Knowledge of graph-based ML, generative AI, or other advanced ML techniques.Exposure to edge AI and model optimization techniques (e.g., quantization, pruning).Contributions to open-source ML projects or publications in AI conferences.Salary Range: 140k-180kThe salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements.Cultural Fit & ValuesAt Accrete, success goes beyond technical expertise—we value innovation, collaboration, and accountability. Our team members embody:Ownership & Accountability – Drive projects to completion with high standards and proactive problem-solving.Transparency & Communication – Share information openly, give and receive constructive feedback.Strategic Thinking & Problem-Solving – Analyze challenges critically and implement effective solutions.Collaboration & Professionalism – Work as a team, contribute meaningfully, and uphold mutual respect.Passion for AI & Innovation – Stay curious, continuously learn, and push AI’s potential.Going Beyond the Job Description – Seek opportunities to contribute beyond core responsibilities.These principles shape our culture, performance evaluations, and growth opportunities, ensuring we build a mission-driven organization together.Company BenefitsCompetitive Salary: Aligned with experience and market standards.Comprehensive Insurance: Health, dental, and vision coverage to keep you and your family secure.401(k) Plan: Build your financial future with our retirement savings plan.Flexible PTO & Hybrid Work: Take time off when you need it and enjoy remote flexibility per company guidelines.Growth & Development: Access professional development, learning opportunities, and career advancement support.Onsite Perks: Enjoy catered lunches, snacks, and a stocked kitchen.Team Bonding: Company-sponsored happy hours and social events to connect and unwind.",Associate,Machine Learning Engineer
+602,2025-03-31,Ellicott City,Maryland,"Independent Software, Inc.",https://independentsoftware.com,"Independent Software supports our customers by providing next-generation cyber services, intelligence and all-source analytics, machine learning, and mission application development. In addition to our service-based efforts, we also offer innovative IT and cyber products to solve our customers’ most complex challenges. We are a Woman-Owned Small Business committed to hiring veterans and supporting our national defense missions.
+
+We are driven to perform for our clients, protect our professional staff, and improve shareholder value. Employee and client satisfaction are key metrics for our corporate management team. Maintaining positive relationships with all our industry partners has delivered impressive business results. Our Mission and Vision statements speak to these values.
+
+Mission Statement:
+Independent Software is dedicated to ensuring national security and supporting our customers through quality intelligence products and highly skilled personnel that enable a diverse set of federal and commercial missions. A large percentage of our employees are veterans, so we understand the importance of providing timely, effective, and actionable intelligence and tools to the warfighter. Our personnel have embodied our focused, mission-first approach to supporting national security missions in dynamic environments since 2005.
+
+Independent Software is built on five core values which, when taken together, guide us to continuously maintain our focus and achieve our vision - 1) Customer Success, 2) Employee Success, 3) Technical Excellence, 4) Fiscal Responsibility, and 5) Social Awareness.
+
+We engage our core competencies to meet customer mission challenges in - 1) Enterprise Software Engineering, 2) Offensive and Defensive Cyber Services, 3) Data Science and Decision-Making Analytics, and 4) All-Source Analytics.
+
+Join Our Team
+https://independentsoftware.com/careers/
+
+Like us on Facebook: www.facebook.com/independentsoftwareinc
+Follow us on Twitter: @IndependentSoft","What you will be doing!As a Data Scientist, Level 2, your role is pivotal. Your Python expertise and experience in automating workflows, data manipulation, and visualization using Jupyter Notebooks will be crucial in our data-driven decision-making processes. You will be instrumental in streamlining processes and creating insightful visualizations.Job Description / RequirementsEmploy some combination (2 or more) of the following skill areas:Foundations: Mathematical, Computational, Statistical Data Processing: Data management and curation, data description and visualization, workflow and reproducibility Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration. Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Education and Experience: Bachelor’s Degree with 10 years of relevant experienceAssociates degree with 12 years of relevant experienceBachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming,, data structures, data mining, artificial intelligence). College-level requirements or upper-level math courses designated as elementary or basic do not count. A broader range of degrees will be considered if they are accompanied by a Certificate in Data Science from an accredited college or university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Clearance Required: Must possess an active TS/SCI with Full Scope Polygraph security clearance to be considered for this role Independent Software is an Equal Opportunity Employer EOE, M/F/D/V.",Mid-Senior level,"Data Scientist, Level 2"
+603,2025-04-09,Mountain View,CA,Google,https://goo.gle/3DLEokh,"A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
+
+Check out our career opportunities at goo.gle/3DLEokh","The application window will be open until at least April 9, 2025. This opportunity will remain online based on business needs which may be before or after specified date.During the application process, you will be able to indicate any additional preferred working locations. We encourage all qualified individuals to apply, and we will consider your skills and interests for other open positions across our available locations.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Palo Alto, CA, USA; San Bruno, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.Minimum qualifications:Bachelor's degree or equivalent practical experience.1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript) in an industry setting.Experience working with one or more of the following: Web or Mobile Application Development, Unix/Linux environments, Distributed and Parallel Systems, Machine Learning or AI, Information Retrieval, Natural Language Processing, Networking, Developing Software Systems, or Security Software Development.Preferred qualifications:Master's degree in Computer Science or a related technical field.Experience developing accessible technologies.Experience with machine learning algorithms and tools, Basics of Machine Learning, Generative AI, Recommendations/Ranking/Predictions, Natural Language Processing, Speech Audio, Machine Learning Infrastructure, Reinforcement Learning, and Computer Vision.Experience developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.About The JobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Cloud to Google Ads, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.The US base salary range for this full-time position is $118,000-$170,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .ResponsibilitiesDesign, develop, test, deploy, maintain, and improve software.Manage project priorities, deadlines, and deliverables.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .",Entry level,"Software Engineer II, Early Career"
+604,2025-04-07,London,Greater London,Signify Technology,http://www.signifytechnology.com,"We aim to build exceptional teams in the tech space, focusing on two core engineering specialisms: Advanced Software Engineering and AI, ML, & Data Engineering.
+ 
+As a multi-award-winning global staffing specialist, we're passionate about connecting talented individuals with some of the world's top companies. Starting out as the leading niche recruitment experts in Scala eight years ago, we've expanded our expertise to support clients and candidates in building exceptional tech teams across a wider range of specializations.
+
+From our offices in LA, Austin, and London, we offer both permanent and contract technology staffing solutions and are dedicated to nurturing the tech community. We share knowledge through blogs and podcasts, organize meetups, sponsor events, and offer some of the coolest jobs on the market.
+
+We are a minority-owned business certified by MSDUK and our mission is to diversify and evolve the tech space. We support our clients in their DEI (Diversity, Equity, and Inclusion) journeys and are committed to transforming the industry by providing opportunities to individuals from underrepresented backgrounds. Our dedication to DEI is reflected in our values and we believe that the strength of a company lies in the diversity of its people.
+
+
+‘No. 11 on London's Best Small Companies To Work For’
+‘No. 15 on Recruitment's Best Companies To Work For’
+‘No. 31 on The UK's 100 Best Small Company To Work For’
+‘Best Recruitment Company to Work For (£5M - £50M) – Tiara Recruitment Awards’ 
+‘Recruiter Hot 100 - Ranking #49’ 
+‘The Sonovate Client Service Award - Tiara Recruitment Awards’
+‘APSCo Embrace award 2023’ 
+'Certified as a Great Place to Work UK 2023'
+'Best Tech Recruiter - Global Business Tech Awards 2023'
+'Ryan Adams - Leader of the Year - British Recruitment Awards 2022'
+
+Accredited by APSCo, the regulatory body for the Recruitment industry.","Job Title: Senior Machine Learning EngineerSalary: $240,000 - $300,000Location: San Francisco, CA (Hybrid 2 days onsite)A well-funded SaaS startup in the AI infrastructure space is hiring a Machine Learning Engineer to optimize and scale their GPU systems for advanced model training and inference. This company builds high-performance SaaS AI tools used by millions of users and integrated into major consumer platforms. In this role, you’ll manage interconnected GPU clusters—such as H100s across 300+ nodes—while improving performance through MFU optimization, memory tuning, and distributed training strategies. You’ll be hands-on with both large-scale training and smaller clusters used for inference, requiring deep hardware-level expertise. The ideal candidate has a strong HPC background, understands memory hierarchies, caches, and interconnects, and thrives in a fast-moving startup environment.Requirements:Experience managing and scaling large GPU clustersStrong foundation in high-performance computing and ML infrastructureUnderstanding of GPU internals including memory, cache, processors, and interconnectsFamiliarity with MFU optimization techniques and efficient GPU utilizationHands-on experience with distributed training systems and frameworksAbility to work cross-functionally with infrastructure, research, and product teamsPassion for building foundational AI systems in a high-growth startupBenefits:Medical, Dental, and Vision Insurance401kPaid Time OffEquityStartup work cultureFree LunchesRemote or Hybrid flexibility for SF localsIf you are interested in learning more about this position or any other roles we may have open, please apply today!Accessibility Statement:Read and apply for this role in the way that works for you by usingour Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.We make an active choice to be inclusive towards everyone every day.Please let us know if you require any accessibility adjustments through the application or interview process.Our Commitment to Diversity, Equity, and Inclusion:Signify’s mission is to empower every person, regardless of their backgroundor circumstances, with an equitable chance to achieve the careersthey deserve. Building a diverse future, one placement at a time.",Mid-Senior level,Machine Learning Engineer
+605,2025-04-05,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.Job Responsibilities Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, etc. Build machine learning solutions and algorithm strategies by the analysis and mining of a large number of user query to empower the merchant side and improve the overall matching ability of the platform Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological developmentQualificationsMinimum Qualifications Proficient in at least one programming language: c++, python, shell, and other programming skills, with a solid programming foundation and good programming style Experience in algorithm development, familiar with the application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet), familiar with commonly used deep learning algorithmsPreferred Qualifications Able to solve problems independently, good sense of teamwork and communication skills; Experience in search engines, recommendation systems, and computational advertising-related fields is preferred.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - Search Engine - E-Commerce Alliance
+606,2025-04-02,Plantation,Florida,Chewy,http://careers.chewy.com,"At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. 
+
+We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
+
+We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
+
+At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
+
+Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
+
+We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
+
+We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.","Our OpportunityWe are seeking a talented and passionate Machine Learning Engineer II to join our growing team. In this role, you will play a crucial part in building and deploying machine learning solutions that empower our Chewy Customer Care teams. As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning lifecycle, from data preparation and model development to deployment and monitoring. You will have the opportunity to work on diverse projects and contribute directly to the success of the company.What You'll DoDesign and implement robust data pipelines for efficient data ingestion, processing, and feature engineering.Ensure data quality and consistency for model training and inference.Work with large datasets and apply data scaling techniques.Select and build appropriate machine learning models based on business requirements and data characteristics.Train and evaluate models using various techniques and metrics.Fine-tune models to achieve optimal performance and efficiency.Deploy machine learning models to production environments, ensuring scalability, reliability, and maintainability.Implement monitoring and alerting systems to track model performance and identify potential issues.Optimize models for inference speed and resource utilization.Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions.Effectively communicate technical concepts and findings to both technical and non-technical audiences.What You'll NeedBachelor's degree in Computer Science, Machine Learning, or a related field.3+ years of experience as a Machine Learning Engineer or in a similar role.Strong programming skills in Python or another relevant language.Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).Experience with SQL and relational databases.Nice To HaveFamiliarity with big data technologies (e.g., Spark, Iceberg, dbt).Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift).Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly).Knowledge of retail and e-commerce.Solid understanding of machine learning algorithms and best practices.Experience with cloud computing platforms (e.g., AWS, Azure, GCP).Excellent communication and presentation skills.Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.If you have a question regarding your application, please contact HR@chewy.com.To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.",Mid-Senior level,Machine Learning Engineer II
+607,2025-04-09,SHERIDAN ,WY ,Aarna Software and Solutions LLC,https://www.aarnasoftware.com/ ,"Prospering in the industry for more than 10 years, Aarna Software and Solutions (ASAS) is the leading IT-staffing firm serving fortune 500 and 1000 companies. We, at ASAS, provide the best staffing and technology solution services to companies across the globe. Hiring top talents and helping them lead the best path to achieve their career goals is our topmost priority. Our cost-effective staffing and technology solution services have proved to be fruitful with time. Fast and affordable recruitment of the top talents is the reason why we are among the best recruitment services firms in United States. ASAS is a fast-growing, end-to-end IT-staffing services and solutions provider with clients in Financial Services, Technology, Communications & Media, Manufacturing & Retail, Energy and Utilities, and a variety of other industries. We provide clients with highly responsive and innovative solutions that help them integrate their IT strategy with their business goals and handle today's most pressing IT requirements. ASAS is a one-stop solution for all your staffing and recruitment requirements.","1 to 3 years of experience in machine learning and computer vision, with a proven track record in image processing and analysisProven hands-on experience in Python programmingProficient in programming languages relevant to AI/Client development ( TensorFlow, PyTorch)Strong proficiency in machine learning concepts and practical applicationFamiliarity with data analytics packages including pandas, NumPy, and scikit-learnIntermediate knowledge in statistics for data analysis and interpretationAbility to create insightful and visually appealing graphs using tools like Matplotlib or SeabornCollaborative mindset with excellent communication skills to work effectively in a teamhas context menuResponsibilitiesdevelopment and optimization of Computer Vision algorithms and Client modelsContinuously refine Client models to improve accuracyCollaborate with cross-functional teams to integrate AI/Client features into the applicationDevelop and maintain Python-based applications, leveraging expertise in Python programmingImplement and optimize machine learning models for data analysis and insights generationUtilize data analytics packages such as pandas, NumPy, and scikit-learn for efficient data manipulation and processingWork collaboratively with cross-functional teams to understand business requirements and translate them into technical solutionsApply intermediate knowledge in statistics to analyze and interpret complex datasetsCreate visually appealing graphs and visualizations to communicate findings",Entry level,Machine Learning Engineer
+608,2025-03-25,Santa Clara,California,Plus,https://www.plus.ai,"Plus is a global AI-first autonomous trucking software company delivering safe autonomous trucks at scale. Headquartered in Silicon Valley with operations in the United States and Europe, Plus is named by Fast Company as one of the World's Most Innovative Companies. 
+
+Partners including Bosch, DSV, Hyundai Motor Company, Iveco Group, and Scania/MAN/International of the TRATON GROUP are working with Plus to accelerate the deployment of next-generation factory-built autonomous trucks. ","As an ML Infrastructure & data engineer Intern on our team, you’ll play a critical role in building and optimizing our data engine platform, which is the backbone of our autonomous driving technologies. Your contributions will directly impact the reliability, scalability, and performance of our AI systems by designing robust ML infrastructure, refining data pipelines, and enabling efficient workflows.Responsibilities:Design and implement LLM/VLM-driven autolabeling systems to optimize data annotation workflows and reduce manual effort. Architect and implement scalable training data pipelines for diverse deep learning models (eg., perception, planning). Develop version-controlled datasets with efficient storage and retrieval mechanisms to ensure data integrity and accessibility. Create visualization and analysis tools to monitor model performance and dataset quality. Develop automation for continuous integration and deployment of updated models, ensuring streamlined updates and reliability. Required Skills:Pursuing M.S or PhD in Computer Science, Mathematics, AI/ML, or related field. 1+ years of hands-on experience in machine learning (e.g., deep learning, NLP) or infrastructure engineering. Proficiency in Python, with strong experience in pandas, NumPy, and SQL (writing efficient queries). Preferred Skills:Experience with ML frameworks (e.g., PyTorch) and infrastructure tools (CI/CD, cloud platforms). Knowledge of data engineering best practices (e.g., ETL, data versioning, metadata management) and containerization tools (Docker, Kubernetes). $19 - $65 an hourOur internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.",Internship,Software Engineer Intern - Machine Learning Infrastructure & Data
+609,2025-04-02,Burlingame,California,Genesis Therapeutics,http://www.genesistherapeutics.ai,"Genesis Therapeutics – headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego – is unifying AI and biotechnology to discover novel and breakthrough treatments for patients with severe and devastating conditions. We are using a proprietary state-of-the-art generative and predictive AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery.
+
+The GEMS platform integrates deep learning-based predictive models, molecular simulations, and molecular generative AI. GEMS accelerates hit ID through lead optimization and candidate selection by generating promising molecules for synthesis and experimental testing, and iterating this process through multiple cycles of AI-enabled discovery and optimization. 
+
+We have leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has two AI platform collaborations across a range of therapeutic areas: Eli Lilly (signed in 2022) and Genentech (signed in 2020).
+
+Genesis has raised over $280M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures. We are rapidly growing our team with a variety of openings on our machine learning, computational chemistry, and software teams (primarily located in the Bay Area) and our chemistry, biology, and clinical teams (primarily located in San Diego). To learn more about Genesis Therapeutics, or current employment opportunities, please visit our website.","Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for engineers excited to help develop new medicines and play a critical role in building out our software platform.You willBuild and expand on tools for visualizing molecules and proteins, analyzing machine learning models, and managing complex chemical workflowsWork closely with machine learning engineers and medicinal chemists to develop and productionize new computational methods for molecular property predictionHelp scale our data infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobsYou areA strong software engineer who will write code quickly and uphold our code quality standardsA deep thinker who reasons from first principles over pattern matchingInterested in learning about biochemistry and the drug development processWhat We OfferThe opportunity to work on high impact tools and products that are immediately deployed to accelerate the discovery of new medicinesStrong technical coworkers in AI, software, and chemistry, who all have a powerful mix of intellectual curiosity and humility. The team reads and discusses 1-2 machine learning or chemistry papers every week to stay on top of the field and inspire new ideasGenesis Therapeutics is unifying AI and biotech to discover novel and breakthrough treatments for patients with severe and devastating conditions. Genesis was founded on groundbreaking molecular ML research and since has established itself as the industry leader in AI for small molecule drug discovery. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules.Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets.The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has signed AI-focused platform collaborations with major pharmaceutical companies, including most recently Incyte Corporation (Feb 2025) and Gilead Sciences (Sept 2024).We raised a $200M series B in August 2023, and have raised over $300M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.",Not Applicable,Software Engineer Intern (Fall 2025)
+610,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is dynamic, fast-pacing, collaborative and impact-driven.Responsibilities - What You'II Do Participate in the recommendation algorithm of the live streaming business and make contributions to a world-class large scale recommendation system Optimize the core algorithms and strategies (recall, coarse ranking, fine ranking, mixed ranking, diversity, etc.) through modeling technologies including deep learning, representation learning, multi-task learning, causal inference, and sequence modeling. Ensure every user finds relevant creators and enjoys the fun of live streaming. Continuously improve recommendation technology with deep understanding of the ecological roles of users, creators, platforms, drive growth in user experience, creator growth, platform revenue, and create a virtuous cycle of livestream ecosystem Work closely with the product and operations team, excel in technological innovation with deep integration of business characteristics, and help achieve long-term and short-term business development goals.QualificationsMinimum Qualifications Solid programming foundation, good programming style and work habits, solid knowledge of data structures and algorithms. Has strong theoretical foundation and extensive practical experience in the field of machine learning/deep learning , familiar with at least one mainstream deep learning framework. Has exceptional ability to analyze and solve problems, passionate about solving challenging problems; good at communication, proactive at work, has a strong sense of responsibility, and possess good teamwork skills. Priority will be given to individuals who have published papers at top conferences, won competitions such as ACM/machine learning, or have experience in core algorithm businesses such as large-scale recommendation systems, computational advertising, and search engines.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $126000 - $221760 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, TikTok Live Stream"
+611,2025-04-05,San Francisco,CA,Two Dots,http://twodots.net,"The only truly effective all in one fraud prevention and underwriting system.  Easily centralize, automate decisioning, eliminate manual review, and boost your NOI.","Two Dots is using AI to remake the way consumer underwriting is done, starting with residential real estate. Most consumers' most important financial information is locked up in documents, and we’ve built technology that is able to harness this data to make better lending decisions. We’ve coupled this underwriting agent with advanced document and identity anti-fraud, and we’re working toward democratizing sophisticated consumer underwriting for all.After raising our Series A, we are growing rapidly! And could use your expertise to help us become the new standard in consumer underwriting.Please note that we require all full-time employees to work from our office in San Francisco, CA.Role overview:Reporting directly to our Co-Founder and CTO, Two Dots is looking for our first-ever Machine Learning Engineer. In this role you will design, develop, and deploy machine learning solutions, with a focus on fine tuning multimodal large language models (LLMs) to solve real-world problems. The ideal candidate will have a passion for building and deploying advanced ML applications, with the aim to produce business impact and client satisfaction.Key Responsibilities:Work autonomously to design, develop and deploy machine learning modelsAnalyze large datasets to uncover insights and trends that inform product development and personalized customer experiencesContinuously monitor and improve the performance of deployed models, ensuring they meet business objectives and scalability requirementsStay up to date with the latest advancements in machine learning, AI, data science and engineering, and apply this knowledge to improve our products and servicesDesirable Traits:2+ years of experience in a Machine Learning or Data Engineering role, with a strong proficiency in Python and ML frameworks like PyTorch requiredProven ability to improve models for key information extraction, including named entity recognition and matching, and financial document classificationExperience with active learning, HITL driven workflows; working with large labeling and quality teams is a plusStrong problem solving skills, with the ability to think critically and creativelyExcellent communication and interpersonal skills, capable of explaining complex operational information in an understandable wayA proactive, curious mindset with a relentless pursuit of excellence and innovation in tackling complex problemsHungry for personal and professional growth and ready to scale with Two Dots!What you get in return:An opportunity to revolutionize the real estate leasing industry and own projects that make a tangible impactAn environment with a work culture that is based on trust, ownership, flexibility and a growth mindsetA competitive salary, comprehensive equity package, and substantial benefitsClosing:Two Dots is an equal opportunity employer. We aim to build a workforce of individuals from different backgrounds, with different abilities, identities, and mindsets. Even if you do not meet all of the qualifications listed above, we encourage you to apply!Compensation is variable and is subject to a candidate’s personal qualifications and expectations. For this role, we offer the following base salary range, in addition to an equity package and full benefits: $150k - $225k per year.Compensation Range: $150K - $225K",Entry level,Machine Learning Engineer
+612,2025-03-17,Dublin,CA,"iTradeNetwork, Inc.",http://www.itradenetwork.com,"iTradeNetwork is a leading supply chain management platform for the food and beverage industry, enhancing efficiency, visibility, and collaboration. We offer solutions for procurement, food safety, transportation, spend management, and data services. Our platforms helps retailers, growers, manufacturers, operators, and distributors streamline operations, ensure compliance, and optimize costs.
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+With over 2,500 trading partners and $50 billion in annual transactions, iTradeNetwork is a key player in the perishables supply chain.","About iTradeNetworkAt iTradeNetwork, we provide advanced supply chain software and insights tailored to the food & beverage industry. Our mission is clear and ambitious: To feed the world. From the start, we’ve been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact.Our cutting-edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably. We’re proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 foodservice distributors, and 8 of the top 10 global food and beverage manufacturers.JOB SUMMARYAre you a machine learning enthusiast who thrives on transforming data into impactful insights? Do you dream in algorithms, data pipelines, and model architectures? We’re looking for a Machine Learning Full Stack Developer who is a true builder—someone who can roll up their sleeves, design, develop, and deploy scalable ML solutions. This isn’t just another job; it’s an opportunity to be part of a team that is shaping the next generation of AI-driven products that will directly drive growth.Key Responsibilities:Build the Future: Design, develop, and deploy end-to-end machine learning systems optimized for performance, scalability, and rapid deployment.AI-First Development: Leverage AI tools (GitHub Copilot, Cursor AI, ChatGPT, Otter AI) to enhance code efficiency, refactoring, debugging, and documentation.Rapid Prototyping: Rapidly prototype and deploy ML models and full-stack applications using AI-assisted development tools.ML & Data Pipelines: Build and optimize data pipelines for efficient ingestion, transformation, and analysis.LLM Integration: Implement and fine-tune large language models (LLMs) like GPT, BERT, and integrate them seamlessly into production systems.MLOps Excellence: Design, develop, and implement CI/CD pipelines for continuous deployment and monitoring of machine learning models.Cloud-Native Development: Build and maintain cloud-native ML applications on platforms like GCP, AWS, or Azure.Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into scalable ML solutions.Solve Complex Problems: Tackle technical challenges, from optimizing algorithms to deploying real-time machine learning systems.Tech Stack:Languages: Python, JavaML Frameworks: TensorFlow, PyTorch, Scikit-learnDatabases: BigQuery, PostgreSQL, Redis, MongoDBCloud & DevOps: Kubernetes, Docker, Terraform, GCP, AWSMLOps Tools: MLflow, Kubeflow, AirflowAI Tools: GitHub Copilot, Cursor AI, Otter AI, ChatGPTNLP & LLMs: GPT, BERT, Transformer architecturesCI/CD & Automation: GitHub Actions, JenkinsWhat You Bring:Bachelor’s degree in Computer Science, Engineering, or just equivalent hands-on experience with no degree!5+ years of hands-on experience in machine learning and full stack development, with at least 3+ years in data science and 3+ years in ML engineering.Proven ability to develop and deploy ML models with minimal requirements.Strong coding ability demonstrated via a HackerRank assessment (preferred HackerRank Gold Badge).Expertise in Python and Java for building production-grade ML systems.Strong experience with cloud platforms like GCP, AWS, or Azure.Deep understanding of MLOps best practices, including CI/CD pipelines and model monitoring.Ability to quickly understand and implement complex data models and algorithms.Strong problem-solving, analytical thinking, and debugging skills.Excellent communication and collaboration abilities.Why you will love working here:Competitive salary packagesComprehensive medical, dental, vision, and life insurance benefits for you and your familyFlex PTO for exempt employees and competitive PTO for non-exemptPaid parental leave for eligible employees401(k) matchingTuition reimbursement on approved programsGreat health & well-being benefits including Teladoc for general medical and mental health careThese benefits are only applicable to full-time employeesThis is a hybrid position, candidates must be located in the Bay Area, CA; Charlotte, NC; Denver, Colorado; and Atlanta, Georgia unless listed otherwiseAdditional Requirements:Must be able to demonstrate lawful ability to work in the United StatesiTradeNetwork, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran by applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability",Mid-Senior level,Machine Learning Engineer
+613,2025-04-02,Chicago,Illinois,Grubhub,http://www.grubhub.com,"Grubhub is a leading food-ordering and delivery marketplace on a mission to empower everyday convenience and champion merchants from coast to coast.
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+Part of Wonder, a new kind of food hall that is revolutionizing the food industry by creating the super app for mealtime, Grubhub features more than 375,000 merchants in over 4,000 U.S. cities.
+Restaurants, grocery, and local merchants are the core of our offering—and the heart of the communities we serve. Our mission is to strengthen our roots, deepen our connections, and increase our positive impact. We strive to help merchants grow their businesses and experiment with new concepts.
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+Our community is powered by thousands of drivers around the country. We provide drivers with flexible opportunities to work and earn on their own schedules—and keep 100% of the tips they earn while they deliver. Together with our merchants and drivers, we give customers more options for delivery, whether it’s their go-to meal from their favorite local restaurant, or a craving to discover something new.
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+Through the Grubhub Community Fund, we have given more than $70 million to charitable organizations and communities nationwide since 2020. Focusing on supporting independent restaurants, helping close the hunger gap, and creating more opportunities for people in the hospitality industry, we forge nationwide partnerships that strengthen our competitiveness in the marketplace, attract and retain the best talent, and show customers how we support the communities they live in.
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+Since we opened our doors in Chicago in 2004, Grubhub has been opening doors all across the country. With thousands of merchants nationwide, Grubhub delivers the best local, authentic cuisine right to diners’ doors—and new customers and billions in revenue to local businesses. And that helps open even more doors. Bakery doors in Hyde Park. Jibarito joint doors in Queens. And doors of opportunity all across the country.","About The OpportunityThe Data Engineer position within Grubhub's Growth team plays a pivotal role in enhancing our big data infrastructure and refining existing pipelines that drive Grubhub's growth marketing efforts. Collaborating closely with Customer Engagement and Analytics teams, the Data Engineer will partner to develop automated marketing campaigns and create custom audience segments for email, push, and/or in-app initiatives. Additionally, they will be responsible for developing and maintaining monitoring dashboards to ensure the effectiveness and quality of campaign delivery. As a Data Engineer, you will be expected to develop a well-informed long-term data architecture, lead structured problem-solving efforts, and remain flexible and adaptable to seize new opportunities as they arise. Our team's responsibilities extend to generating automated analytical reports and metrics that are reviewed at senior levels. Candidates should possess expertise in designing, creating, managing, and leveraging large datasets for business purposes.This position provides a distinct chance to oversee and develop novel solutions for data storage, pipelining, and visualization starting end-to-end. The pipelines and processes developed in this role will be indispensable for accomplishing business needs. As such, we are seeking an individual who can not only excel in engineering tasks but also demonstrate a keen interest in understanding the business intent of their work. The ideal candidate should possess exceptional attention to detail, strong communication skills, resourcefulness, a customer-centric approach, a team-oriented mindset, the ability to work independently in a fast-paced environment, and have an ownership mindset.The Impact You Will MakeWork with high volumes of data and distributed systems using technologies such as Spark, Hive, AWS EMR, AWS S3, Azkaban, PrestoDesigning and implementing robust data pipelines to efficiently process and analyze large volumes of dataDeveloping scalable and maintainable data storage solutions to accommodate the growing needs of the organizationCollaborating with analysts to understand their requirements for metrics and automate them for campaigns launched, so they can scale and evaluate the performanceBuilding monitoring and alerting systems to ensure the integrity and availability of data pipelinesOptimizing query performance and data processing workflows to reduce latency and improve efficiencyProviding technical expertise and guidance to other team members on best practices for data engineering and architectureContinuously evaluating new technologies and tools to enhance the team's capabilities and improve efficiencyWhat You Bring to the TableBachelor's degree required in Computer Science/Information technology.2+ years of relevant experience in a data engineering roleExcellent knowledge of SQL1+ years of experience with Python programming languageBackground in ETL and data processing, familiar with how to transform data to meet our goals i.e. launch automated campaigns, and a monitoring dashboard.Ability to take on ownership of projects at both a technical and organizational levelStrong written and oral communication skills to effectively partner with various functional groupsWillingness to understand the larger business contextStrong self-management / prioritization capabilitiesGot these? Even betterMaster’s degree in Computer Science/Information technologyExperience with AWS or another cloud service providerUnderstanding of conventional data warehousing principles like 3NF, star schemas, and dimensional modelingHave a strong enthusiasm for learning and sharing knowledgeThorough attention to detail and precision, with a structured and organized approachAs a matter of company policy, Grubhub does not sponsor applicants for employment visa status for this role. The base salary range for this position is below: Illinois: $88,000-$132,000New York: $97,000- $145,000Grubhub uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.And Of Course, Perks! Flexible PTO / PTO. Grubhub employees enjoy a generous amount of time to recharge.Health and Wellness. Excellent medical, dental and vision benefits, 401k matching, employee network groups and paid parental leave are just a few of our programs to support your overall well-being.Free Meals. Our employees get a weekly Grubhub credit to enjoy. Social Impact. At Grubhub we believe in giving back through programs like the Grubhub Community Fund. Employees are also given paid time off each year to support the causes that are important to them.Grubhub is an equal opportunity employer. We welcome diversity and encourage a workplace that is just as diverse as the customers we serve. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you’re applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an email to TalentAcquisition@grubhub.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. CA Privacy Notice: If you are a resident of the State of California and would like a copy of our CA privacy notice, please email privacy@grubhub.com.",Entry level,Data Engineer I
+614,2025-04-08,London,England,InterEx Group,http://www.interex-group.com,"InterEx’s vision is to revolutionise the technical resource service market globally. We will do this by redefining the relationship between staffing service providers and customers. Our goal is to offer a comprehensive suite of solutions.
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+InterEx Group takes a unique approach by offering project-driven, outcome-based solutions across the technology space. We partner closely with our customers to solve their business and technology challenges, utilising our experience and capability of supplying the right expertise and services for all our customers resource needs. InterEx has an exceptional and defined process to deliver an efficient, cost optimised and tailor-made service. 
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+Over the last 8 years we have secured our position as a leader in providing the world’s biggest technical projects with experts in Data, ERP and CRM. We currently have offices in London, Amsterdam, Miami and New York. This allows us to offer a 24/7 service to our clients whereby we can access candidates in every corner of the globe.","Senior RoleThe ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the correct answers.ResponsibilitiesAnalyze raw data: assessing quality, cleansing, and structuring for downstream processingDesign accurate and scalable prediction algorithmsCollaborate with the engineering team to bring analytical prototypes to productionGenerate actionable insights for business improvementsQualificationsBachelor's degree or equivalent experience in a quantitive field (Statistics, Mathematics, Computer Science, Engineering, etc.)At least 4 years of experience in quantitative analytics or data modellingDeep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithmsFluency in a programming language (Python, CC++, Java, SQL)Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)",Mid-Senior level,Senior Machine Learning Engineer
+615,2025-04-04,,,FIS AUSTRALASIA PTY LTD,https://www.fisglobal.com,"FIS AUSTRALASIA PTY LTD is an information technology and services company based out of 385 Bourke St, Melbourne, Victoria, Australia.","Back to search resultsPrevious job Next jobJob Description Position Type : Full timeType Of HireExperienced (relevant combo of work and education)Education DesiredBachelor of EngineeringTravel Percentage0%Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.About The TeamThe Capital Markets AI/ML CoE team is a horizontal CoE for Capital Markets that is helping us drive revenue and bring significant savings to our businesses by identifying, exploring, and implementing AI/ML solutions.The Capital Markets is one of the two verticals in FIS. It has various products and solutions in funds management, cleared derivatives, commercial lending, corporate treasury, insurance risk electronic trading, RegTech, wealth and retirement etc.The team consists of highly motivated solution architects, data scientists and ML engineers.What You Will Be DoingAs a Data Scientist, you will be assisting with designing and developing cutting-edge AI/ML solutions across the organization.What You BringKnowledge / ExperienceBasic working experience in data analysis and ML modeling.Understanding of machine learning and deep learning concepts.Ability to assist in formulating business problems as machine learning problems.Basic knowledge of model evaluation and interpretability.Familiarity with computer vision, natural language processing, and anomaly detection.Awareness of GenAI and its applications in the industry.Good communication skills:Ability to communicate ideas clearly and concisely, both verbally and in writing.Ability to collaborate effectively with business and tech teams.Problem-solving skills with a focus on optimal solutions.Knowledge of the financial services marketplace is a plus.SkillsProficiency in Python.Good-to-have: Experience in additional programming languages (e.g., Java or C#).Familiarity with frameworks and libraries like scikit-learn, TensorFlow, PyTorch, Keras, pandas, etc.Basic knowledge of REST services using Flask or FastAPI.Understanding of SQLAlchemy and Pydantic data modeling.Experience with one of the cloud platforms (e.g., AWS, GCP, Azure) and AI Studios is a plus.Basic understanding of solving practical problems using GenAI.Familiarity with leveraging LLMs for practical solutions.Team skills, including the ability to establish and maintain effective working relationships both internally and externally.Experience working with at least one relational database.Basic experience in application development and using IDEs.Innovative thinking.QualificationsBachelor’s degree in engineering or related field or the equivalent combination of education, training, or work experience.Degree / Certification in Data science, Statistics, or related fields.CompetenciesFluent in EnglishExcellent communicator – ability to discuss technical and commercial solutions to internal and external parties and adapt depending on the technical or business focus of the discussion.Attention to detail – track record of authoring high quality documentation.Organized approach – manage and adapt priorities according to client and internal requirements.Self-starter but team mindset - work autonomously and as part of a global teamWhat We Offer YouA multifaceted job with a high degree of responsibility and a broad spectrum of opportunitiesA broad range of professional education and personal development possibilities – FIS is your final career step!A competitive salary and benefitsA variety of career development tools, resources, and opportunitiesWith a 50-year history rooted in the financial services industry, FIS™ is the world's largest global provider dedicated to financial technology solutions. We champion clients from banking to capital markets, retail to corporate and everything touched by financial services. Headquartered in Jacksonville, Florida, our 53,000 worldwide employees help serve more than 20,000 clients in over 130 countries. Our technology powers billions of transactions annually that move over $9 trillion around the globe. FIS is a Fortune 500 company and is a member of Standard & Poor’s 500® Index.FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the FIS Online Privacy Notice.Privacy StatementFIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.Sourcing ModelRecruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.#pridepassClose the popupApply NowTake a virtual tour of our India offices!Get notified for similar jobsYou'll receive updates once a weekEnter Email address (Required)Email should not be empty Please enter valid emailSuccess! Successfully subscribed for similar jobs Failure! You have already subscribed for this job Failure! 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+616,2025-03-26,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!We at the Experience Intelligence team are looking for a passionate Senior Full-stack ML Engineer to join our Content Generation team! Together, we'll transform research-level proof of concepts into production systems like Genstudio for Performance Marketing. We are on a mission to empower our customers to generate high-performing, on-brand marketing content at scale, and your work will directly drive this mission forward.In this role, you'll drive system design, assess ML models, develop production data/ML pipelines, create automation architecture, build visualizations, and deploy systems. We've built a diverse, lively group of engineers and scientists with deep roots in the ML space, and we're excited for you to bring your creativity to our multidimensional, fast-paced, and data-driven environment!What you'll do with us:You'll train and finetune ML models that solve business use cases and handle data at scale. We'll work together to architect and optimize end-to-end ML pipelines, ensuring they're scalable, efficient, and robust. You'll dive deep into data to recommend the right models, evaluation metrics, and governance approaches. Throughout the product lifecycle, you'll engage in architecture, design, deployment, and production operations of ML models and systems. What will help you thrive:We're looking for someone with a PhD or postgraduate degree in Computer Science, Computer Engineering, or a related field—or equivalent experience. You should bring 5+ years of proven experience as a Machine Learning Engineer with successful delivery of ML projects to customers, and 2+ years of hands-on experience working with generative AI technologies such as LLMs, evaluations, fine-tuning, and more. Your strong Python and deep learning engineering skills, paired with experience in training and inferencing with PyTorch or TensorFlow, will be essential. Experience with LLM frameworks and tools like Hugging Face, LangChain, PEFT, and LlamaIndex will help you make an immediate impact. Knowledge of deployment technologies such as Docker, ML Ops, and ML services is valuable, and experience with cloud platforms like Azure and AWS is a plus. We value excellent problem-solving abilities and your capacity to analyze complex issues and drive solutions with a data-driven approach. Your strong verbal and written communication skills and success in cross-functional team environments will help us all succeed together. What we offer:We provide competitive compensation, comprehensive health benefits, flexible work arrangements, and opportunities for continued learning and development. Our collaborative culture encourages growth, innovation, and making a real impact in the field of machine learning and AI.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process.Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,Senior Machine Learning Engineer
+617,2025-03-29,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
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+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the delivery service quality for DoorDash's three-sided marketplace of consumers, merchants, and dashers. DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term.. We are looking for Machine Learning Engineers, Economists, Mathematicians, Statisticians, and Senior Quantitative Researchers from all disciplines.About The RoleAs a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop inference and ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers.You’re Excited About This Opportunity Because You Will…Build statistical and ML models that run in production to help enhance the consumer experience by reducing missing and incorrect items, cancellations, estimated arrival times, and non fulfilled ordersOwn the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance Being exposed to new opportunities where delivery quality can be used as a lever for demand shaping, search ranking, customer segmentation, etcYou can find out more on our ML blog post hereWe’re Excited About You Because…High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double downYou’re an owner — driven, focused, and quick to take ownership of your workHumble — you’re willing to jump in and you’re open to feedbackAdaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth settingDesire for impact — ready to take on a lot of responsibility and work collaboratively with your teamExperience3+ years of industry experience post PhD or 5+ years of industry experience post graduate degree of developing machine learning models with business impactM.S., or PhD. in Machine Learning, Statistics, Computer Science, Applied Mathematics or other related quantitative fieldsDemonstrated expertise with programming languages, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etcDeep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting and ExperimentationExperience of shipping production-grade ML models and optimization systems, and designing sophisticated experimentation techniquesYou are located or are planning to relocate to San Francisco, CA, Sunnyvale, CANotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within the United States.$159,800—$235,000 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - DoorDash Labs
+618,2025-01-22,Cambridge,MA,Kensho Technologies,https://www.kensho.com,"Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction. With engineers comprising over 75% of our ~100-person team, Kensho is an engineering-driven culture, laser focused on building products that solve our customers’ complex problems. Kensho is headquartered in Cambridge, Massachusetts. ","Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and more.Kensho is looking for ML Engineer interns to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Extract. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production.Are you looking to leverage your teammates' diverse perspectives to solve hard problems? If so, we would love to help you excel here at Kensho. You will be working on a team with experienced engineers and have an opportunity to learn and grow. We take pride in our team-based, tightly-knit startup Kenshin community that provides our employees with a collaborative, communicative environment that allows us to tackle the biggest challenges in data. In addition, as an intern you will have the opportunity to attend technical and non-technical discussions as well as company wide social events.We value in-person collaboration, therefore interns are required to work out of the Cambridge HQ or our New York City office!Technologies & Tools We UseAgentic systems: Agentic Orchestration, Information Retrieval, LLM code generation, LLM tool utilization, Multi-modal Embeddings, Multi-turn Conversationality, Textual RAG systemsCore ML/AI: DGL, GNNs, HuggingFace, LightGBM, NVIDIA NeMo, PyTorch, SKLearn, Transformers, XGBoostData Exploration and Visualization: Jupyter, Matplotlib, Pandas, Weights & BiasesData Management and Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, Qdrant, S3, SQLiteDeployment & MLOps: Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, Kubernetes, Ray, vLLM, WhyLabsWhat You’ll DoAssist in conducting original work on large proprietary unstructured data and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value.Design, build, and maintain scalable production-ready ML systemsParticipate in the ML model lifecycle, from problem framing to training, deployment, and monitoring in productionPartner with our ML Operations team to deliver solutions for automating the ML model lifecycle, from technical design to implementationWork in a cross-functional team of ML Engineers, Product Managers, Designers, Backend & Frontend Engineers who are passionate about delivering exceptional productsWhat We Look ForOutstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine LearningExperience with advanced machine learning methodsStatistical knowledge, intuition, and experience modeling real dataExpertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)Demonstrated effective coding, documentation, and communication habitsStrong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.Job ID: 307256Posted On: 2024-12-20Location: Cambridge, Massachusetts, United States",Internship,Machine Learning Engineer - Summer Intern 2025
+619,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Ads Targeting's goal is to help advertisers reach their desired audience and optimize advertisement performance. As a member of the Ads Targeting, Ads Core team, you will apply machine learning models to scale budgets by understanding user interest and intention, and build large-scale foundations for data processing and serving for next-generation ad targeting products. This team is working on a variety of products such as custom audience, interest, behavior, lookalike, auto targeting etc., as well as new innovative features.We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.What You'll Do Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the Tiktok ads monetization ecosystem. Build scalable platforms and pipelines for ads targeting products. Work with product and business teams on the product vision.QualificationsMinimum Qualifications: BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 3+ years of related experience. Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods. Strong coding skills, especially in Python/C++/Go. Experience with high-load systems. Familiarity with online experimentation and analytics. Familiarity with big data systems including Hadoop and Spark. Curiosity towards new technologies and entrepreneurship.Preferred Qualifications Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus. Understanding of the business value of online advertising. Experience with user modeling using deep learning methods from large scale datasets. Experience with privacy preserving modeling techniques is a plus. Experience in developing modern ads ranking/retrieval/targeting systems and recommender systems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $137750 - $237500 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer, Ads Targeting"
+620,2025-03-28,New York City,NY,Actively AI,https://www.actively.ai,"Custom AI that replicates the depth of your best sellers to increase qualified pipeline and revenue. Founded by Stanford AI researchers and loved by scale-ups and enterprises like Ramp, Verkada, Navan, and Ironclad.
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+Precision over volume.","Job DescriptionActively is building an intelligence platform to enable Sales & GTM teams to drive top-line revenue. Our LLM-driven tools help these teams remove the guesswork & time wasted on account research & planning; instead empowering salespeople to focus on what they do best - Sell!Having found excellent early traction with our customers, we’re looking to capitalize on our building momentum by adding a couple of impactful early software engineering hires. We have an ambitious product roadmap in front of us and we’re looking for motivated & collaborative builders who will own critical aspects of this plan, from end-to-end.Our highly differentiated approach is well-positioned to help define the next generation of AI tools, but to help us get there we’re looking for exceptional engineers who are excited about making impact some (or all) of the following:Larges features/functionality of the core product (you could work closely with users and customers and own new product features that make the product significantly more valuable for customers end-to-end)Technical complexity of the solution (help tackle a combination of product engineering challenges, work with LLMs, and build infra to make this work reliably and at scale — we process tens of millions of rows of data daily, including thousands of emails, notes, and call transcripts with LLMs)The potential success of Actively (you could contribute to everything from engineering & product roadmap, to troubleshooting & facilitating the scaling of our sales engine, or reverse engineer our own sales motions to uncover opportunities - “go-to-market” / GTM engineering)If you’re an engineer who wants to deeply understand customer needs and takes extreme ownership to deliver a pragmatic & iterative solution then you may be a great fit on our high caliber team.This is an extremely high-leverage, high-ownership role that touches the entire business — we firmly believe all problems are everyone’s problems here. If this excites you, we’d love to talk!Day in the LifeThis role is in-person in New York City.In a typical week, you’d probably:Talk to multiple users of our product at current customers, or new companies we’re piloting with, to see how they’re using it, what they need help with, and what we can build to make them more successful — we believe in being super hands-on, especially in this phase, to help our customers succeed (e.g., we onboard each sales rep 1:1, check-ins, fast feedback loops, etc.)Build a piece of the product you’re owning that will produce a step change in value for our customers, and work closely with users to test it out and iterateHelp figure out what on the roadmap to prioritize next / what new features we can build out to solve issues users are facing or unlock more valueHelp with data onboarding / POC for a new customer, including potentially building out tools (many AI-powered!) to automate this work and make it easier & faster in the futureContribute to brainstorming on a top-of-mind GTM question (”what should the pre-sales process look like? what metrics should we anchor on? what kinds of customers should we disqualify earlier and how can we recognize them a priori?”)Who You AreThe following are some attempts to define what the ideal candidate could look like for this role, but we’re excited to chat with you if you think you could be a a great fit regardless of how many of the items below you meet!Very strong engineering and/or ML background. You have great technical skills and interest or experience working with LLMs. You enjoy build things (especially from scratch) and are obsessive about what you’re building.High autonomy, ambitiousness, ownership. You’re pragmatic and love to ship quickly to deliver for customers; you’re excited about owning and leading major parts of the product and roadmap. You’re entrepreneurial and want to build a category-defining company.Excitement about being hands-on and iterating with customers. You’re a great communicator with blend of technical & product skills, and you love to talk to customers and users and make them happy! You’re very scrappy and willing to dig in where needed. You can figure out what customers want and drill that back into their underlying pain points. You have extreme attention to detail (especially for things that go in front of customers) and the ability to think from a user’s perspectiveHigh slope and desire / ability to “learn it all.” You’re curious, always want to learn, and know how you learn best; you’re able to pick up new skills (technical or non-technical) quickly and seek out the help you need.Stellar career trajectory & excited to take the next step in your path!Ideally: former founder and/or 2+ years of experience at a hyper-growth startup working very closely with customers (we call it “owning delivery”)",Not Applicable,Software Engineer - AI/LLM
+621,2025-04-08,Coppell,Texas,CornerStone Technology Talent Services,www.cornerstonetechtalent.com,"CornerStone Technology Talent Services (TTS) delivers scalable IT hiring, government workforce solutions, and executive search with precision. As a specialized, woman-owned IT staffing and consulting firm, we serve Texas, Arizona, Florida, North Carolina, South Carolina, Tennessee, Georgia, Illinois, Kentucky, and beyond, providing workforce solutions nationwide and globally. Backed by CornerStone Staffing’s extensive resources, we go beyond traditional staffing, offering agile talent strategies that drive technology transformation, workforce optimization, and hiring precision.
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+At TTS, IT hiring is strategic, not transactional. Whether companies require contingent workforce solutions, project-based consulting, or permanent executive leadership, our expert team sources pre-vetted technology professionals who align with business objectives, technical environments, and industry demands.
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+Our Services
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+- IT Staff Augmentation – Short- and long-term contract IT workforce solutions for cloud computing, cybersecurity, software development, DevOps, and infrastructure.
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+- Direct Hire & Executive Search – Retained and contingent permanent placement for IT leadership, engineering, and digital transformation roles.
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+- Government & SLED IT Solutions – Public sector staffing and IT hiring for state, local, education, and federal agencies, including State of Texas DIR.
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+- Statement of Work (SOW) & IT Consulting – Project-based workforce engagements, IT consulting, and managed IT solutions.
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+- Payrolling (Pass-Through) Services – Employer-of-record solutions, allowing clients to outsource headcount while maintaining workforce flexibility.
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+From emerging startups to Fortune 500 enterprises, TTS is the go-to partner for IT hiring, workforce planning, and government staffing. We deliver precise technical talent, deep market expertise, and workforce scalability to build tomorrow’s IT teams today.","About the RoleWe’re looking for an innovative, driven individual to help accelerate the development of a private, open-source-based AI platform currently in beta. You’ll be working alongside a lead engineer and directly with the founder to bring a working AI prototype to life — focused on delivering AI-driven imaging and chat capabilities for an oil & gas client.This is a hands-on opportunity to get deeply involved in AI product architecture, machine learning modeling, and system optimization using cutting-edge open-source tools. Ideal for a local student or recent grad with a passion for AI, systems, and turning ideas into real-world tools.Key ResponsibilitiesDesign, implement, and deploy machine learning models using open-source frameworks.Work on system architecture design and model tuning.Maintain and optimize private AI infrastructure (on-prem AI server).Collaborate with existing engineer on data handling and modeling strategies.Build and maintain databases using SQL and Python.Integrate and optimize tools like Olamma, MidJourney-style image generation, and open-source GPT chat UIs.Support hardware/software integration (Ubuntu Linux, NVIDIA GPU software, firewall and server configuration).Prototype and test AI imaging + chat applications tailored for an oil & gas use case.Develop and maintain clear, thorough technical documentation for all systems, models, and processes.Document AI workflows, model training pipelines, data preprocessing steps, and deployment configurations.Ensure reproducibility and handoff readiness by creating well-organized documentation and diagrams.Tech Stack & ToolsLanguages: Python, SQL, Java (nice to have)Libraries/Frameworks: Pandas, PyTorch, Open-source GPTTools: NVIDIA GPU stack, Ubiquiti/Unifi, Linux (Ubuntu)AI/ML: Chat AI, AI imaging, model deployment, MidJourney-style toolsDocumentation: Markdown, Jupyter Notebooks, Confluence (or similar)Ideal Candidatestudent or recent grad in Computer Science, Data Science, or related fieldFamiliarity with open-source AI tools and GPU-accelerated computingHands-on experience with Python for ML (e.g., Pandas, PyTorch)Comfortable working with Linux-based systemsPassion for machine learning, AI, and turning theory into prototypesUnderstands the importance of accurate documentation in scalable AI system designCurious, self-directed, and eager to contribute ideas",Entry level,Machine Learning Engineer
+622,2025-03-30,San Francisco,California,Pave,https://pave.com,"Pave is a market-leading compensation management platform for the modern enterprise. Our powerful suite of real-time benchmarking data and compensation workflows ensure every total rewards decision you make delivers value for leaders, people managers, employees and candidates alike.
+","Why join Pave?At Pave, our vision is simple - unlock a labor market built on trust.How are we going to get there? By building a compensation platform powered by the largest real-time compensation dataset on earth, we give you confidence in every compensation decision.We partner with our customers to help them build and retain world-class teams through planning, communicating and benchmarking their team’s compensation in real time. And you don’t have to just hear it from us — you can hear it from our customers: Affirm, Airtable, Ancestry, Clio, Credit Karma, Dropbox, Hover, Hubspot, Grammarly, Ramp, Workato and (8,500+) more!We're growing fast, building an incredible team and product, and having plenty of fun as we do it. We have offices in San Francisco and New York City, and are also expanding to Salt Lake City and welcoming remote team members.If playing to win, building with intellectual honesty and focusing on the Pave platinum standard sounds like fun - we highly encourage you to reach out. We’d love to partner on our journey to change the world of compensation!Market Data Team @ PaveAs part of the data team at Pave you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave we’re bringing modern machine learning, data science, and software tooling to an industry that is built on data, but doesn’t have the tools it needs to fully leverage it.What You'll Be Doing:Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a wholeCollaborate with product and engineering teams to identify additional opportunities to leverage ML-driven solutionsHelp evolve the technical direction of ML initiatives across the companyDrive millions of dollars of revenue growthWhat You'll Bring:5+ years of experience building and deploying ML models in production environmentsStrong foundation in machine learning, statistics, and deep learning fundamentalsExpertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar)Experience with large-scale data processing and ML model optimizationExperience with MLOps practices and tools (model versioning, monitoring, and deployment)Strong software engineering practices and experience with production systemsExpert-level SQL skills with experience writing complex queries and optimizing query performanceAbility to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100A final note — we highly encourage you to apply for this role, even if you don’t feel entirely qualified, or entirely sure. You never know!(This role is eligible for sponsorship)Compensation, It's What We Do.This salary range may include multiple levels. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental and vision coverage, commuter benefits, catered lunch, an unlimited PTO policy, and many other region-specific benefits.Pave's salary range for this position$205,700—$278,300 USDUnderstand our DNAAt Pave, we embrace a relentless pursuit of excellence - we're committed to being in the top tier of our industry in everything we deliver. If you're seeking standard hours and conventional challenges, this might not align with your goals. If you're eager to push boundaries and elevate your potential beyond what you thought possible, we welcome your applicationOur Compensation PhilosophyWe've built our compensation framework to recognize and reward exceptional talent while fostering authentic connections with candidates who share our vision. Our approach emphasizes pay for performance, ensuring that your growth and impact are reflected in your rewards. We continuously innovate our compensation practices to maintain efficiency and fairness over time, creating alignment between candidate aspirations and company success.FAQ’s: How big is Pave today? We were founded in late 2019, and have grown to 150 employees across the US & UK with offices located in San Francisco & New YorkWhere are the Pave offices? Our company HQ is in San Francisco's FiDi with a high energy in-person culture. We also have an office in NYC and a hub in Salt Lake City & EnglandWhat do employee benefits at Pave look like? As an employee at Pave, you will have your choice of medical, dental and vision insurance, as well as access to mental health services and other perks to promote your wellbeing. To enhance your personal and professional growth, you will have a quarterly L&D stipend. We take our snacking seriously - (in-office) employees receive a lunch and dinner stipend as well as many fun snacks throughout the day.What can I expect in interviewing at Pave? At Pave, we value intellectual honesty and transparency, and we bring this to our interview process. Throughout your time interviewing with us, we will be evaluating where you can best make an impact through multiple conversations with your recruiter, hiring manager, peers, cross-functional partners and leadership. We also use our interviews to determine leveling, which is finalized at the end of your interview process by your hiring manager. The majority of our roles have 3-5 interview rounds. You can expect to hear back from our team within 2 days after each interview round. Once we extend an offer, we hope to hear back from you within 3 days. It is extremely important to us that we find a great mutual fit - we’re excited to get to know you!More Questions? Check out our candidate resources page!Pave is committed to a diverse and inclusive workforce. We are an equal opportunity employer and do not discriminate on the basis of race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or another legally protected status. For individuals with disabilities who would like to request accommodation, please email recruiting@pave.com. Sponsorship for work visas or other permits may be available for certain positions, subject to Pave's policies and legal requirements.",Mid-Senior level,Machine Learning Engineer
+623,2025-03-31,Deerfield,IL,Walgreens,http://www.walgreens.com,"Walgreens (www.walgreens.com) is included in the U.S. Retail Pharmacy Segment of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global leader in retail pharmacy. As America’s most loved pharmacy, health and beauty company, Walgreens purpose is more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving approximately 9 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with platforms bringing together physical and digital, supported by the latest technology to deliver high-quality products and services in local communities nationwide.","Job SummaryAs a Senior Machine Learning Engineer, you will play a pivotal role in driving the development, deployment, and scaling of machine learning models and systems. You will be involved in complex machine learning initiatives, mentor junior and intermediate engineers, and collaborate closely with engineering, product, and data science teams. With your deep expertise in ML engineering and a focus on best practices, you’ll ensure that our solutions are robust, scalable, and aligned with business goals. You will also drive improvements in deployment practices, including API integration, CI/CD pipelines, and container orchestration using modern technologies.Job ResponsibilitiesDevelops software that processes, stores and serves data and machine learning models for use by others.Develops large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and intelligence to support business needs.Writes ETL (Extract / Transform / Load) or ELT processes, designs data stores and develops tools for real-time and offline analytic processing on premise or on cloud infrastructure.Develops and maintains optimal data pipelines into the ML and advanced analytics platform, including design of data flows, procedures, and schedules. Ensures that optimal data pipelines are scalable, repeatable and secure.Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.Anticipates and prevents problems and roadblocks before they occur.Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.Collaborates with AI/ML scientists and data scientists to prepare data for model development, and to deploy models to production.About WalgreensFounded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations, and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni-channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients’ care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions.Bachelor's degree and at least 4 years of experience in machine learning, software engineering, or data engineeringDeep knowledge of SQLSignificant experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or JavaExperience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.Experience presenting to all levels of an organizationAt least 2 years of experience contributing to financial decisions in the workplaceAt least 2 years of direct leadership, indirect leadership and/or cross-functional team leadershipWilling to travel up to 10% of the time for business purposes (within state and out of state).Graduate degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering.Strong experience designing and implementing monitoring and alerting systems for cloud-based applications, including log management and analysis tools (e.g., ELK stack, Splunk).Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services, as well as deploying ML models at scale in production using open-source tools (e.g., Kubeflow, Seldon).Proficiency in CI/CD practices for AI/ML model development and deployment, with experience using tools such as Azure DevOps, Tekton, or GitHub Actions.Experience with Infrastructure as Code (IaC) tools, particularly Terraform.Familiarity with DAG-based workflow orchestration systems (e.g., Airflow, Prefect) and data processing pipelines using Apache Spark or Databricks.Experience working with ML registries (e.g., MLFlow) and deploying event-driven or reactive ML applications.Strong background in deploying and maintaining ML systems for both batch and streaming data.Expertise in troubleshooting distributed systems, optimizing performance, and reducing costs in cloud environments.Proficient in writing and deploying production-grade Python applications and libraries.Experience with REST API development and configuring Kubernetes in multi-tenant environments.We will consider employment of qualified applicants with arrest and conviction records.$127500 - $204000 / SalariedBasic QualificationsBachelor's degree and at least 4 years of experience in machine learning, software engineering, or data engineeringDeep knowledge of SQLSignificant experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or JavaExperience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.Experience presenting to all levels of an organizationAt least 2 years of experience contributing to financial decisions in the workplaceAt least 2 years of direct leadership, indirect leadership and/or cross-functional team leadershipWilling to travel up to 10% of the time for business purposes (within state and out of state).Preferred QualificationsGraduate degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering.Strong experience designing and implementing monitoring and alerting systems for cloud-based applications, including log management and analysis tools (e.g., ELK stack, Splunk).Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services, as well as deploying ML models at scale in production using open-source tools (e.g., Kubeflow, Seldon).Proficiency in CI/CD practices for AI/ML model development and deployment, with experience using tools such as Azure DevOps, Tekton, or GitHub Actions.Experience with Infrastructure as Code (IaC) tools, particularly Terraform.Familiarity with DAG-based workflow orchestration systems (e.g., Airflow, Prefect) and data processing pipelines using Apache Spark or Databricks.Experience working with ML registries (e.g., MLFlow) and deploying event-driven or reactive ML applications.Strong background in deploying and maintaining ML systems for both batch and streaming data.Expertise in troubleshooting distributed systems, optimizing performance, and reducing costs in cloud environments.Proficient in writing and deploying production-grade Python applications and libraries.Experience with REST API development and configuring Kubernetes in multi-tenant environments.We will consider employment of qualified applicants with arrest and conviction records.",Not Applicable,Senior Machine Learning Engineer I
+624,2025-03-22,Somerville,Massachusetts,Generate:Biomedicines,https://generatebiomedicines.com/,Pioneering generative biology to create breakthrough therapeutics.,"About Generate:BiomedicinesGenerate:Biomedicines is a new kind of therapeutics company – existing at the intersection of machine learning, biological engineering, and medicine – pioneering Generative Biology™ to create breakthrough medicines where novel therapeutics are computationally generated, instead of being discovered. The Company has built a machine learning-powered biomedicines platform with the potential to generate new drugs across a wide range of biologic modalities. This platform represents a potentially fundamental shift in what is possible in the field of biotherapeutic development.We pursue this audacious vision because we believe in the unique and revolutionary power of generative biology to radically transform the lives of billions, with an outsized opportunity for patients in need. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us!Generate:Biomedicines was founded in 2018 by Flagship Pioneering and has received over $700 millionin funding, providing the resources to rapidly scale the organization. The Company has offices in Somerville and Andover, Massachusetts with 300+ employees.The Role: We are seeking a creative and motivated Senior Software Engineer to help build the platform that powers machine learning research at Generate. As a key member of the MLOps team, you will play a pivotal role in designing, developing, and maintaining tools, infrastructure, and distributed systems that enable efficient model training, evaluation, and deployment. Your contributions will help drive the development of foundational models that will revolutionize antibody design. The successful candidate will collaborate closely with ML scientists, engineers, and product managers to define platform needs and shape the product roadmap.Here's how you will contribute:Design, develop, and maintain core functionality across a suite of ML platform tools. Build and evolve APIs and microservices that orchestrate model training, evaluation, and deployment workflows. Skillfully utilize AWS infrastructure to design and support scalable, reliable, and secure platform operations. Develop distributed systems and Kubernetes-style deployments, supported by in-team DevOps expertise. Collaborate cross-functionally with scientists, engineers, and product managers to define platform requirements and drive product development. The Ideal Candidate will have:5+ years of experience in a software engineering role. Strong proficiency in Python and object-oriented programming principles. Deep understanding of design patterns and software architecture. Experience with AWS services such as ECS, Lambda, and EC2. General fluency in relational database usage (e.g., PostgreSQL). Demonstrated experience building and maintaining scalable microservices and distributed systems. Exceptional communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.COVID Safety:Generate:Biomedicines enforces a mandatory vaccination policy for COVID-19. All employees must be fully vaccinated and have received a booster. The purpose of this policy is to safeguard the health of our employees, their families, and the community at large from infectious disease that may be reduced by vaccinations. The Company will make exceptions to this policy if required by applicable law and will consider requests for an exemption from this policy due to a medical reason, or because of a sincerely held religious belief, or any other exemptions that may be recognized by applicable. Recruitment & Staffing Agencies  : Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto.",Mid-Senior level,"Senior Software Engineer I, ML Ops"
+625,2025-03-14,Burlingame,California,Lyra Health,http://www.lyrahealth.com,"Lyra Health is the leading provider of Workforce Mental Health benefits, available to more than 17 million people globally. Lyra is transforming access to life-changing mental health care using AI-powered provider matching, personalized support, and a digital platform to deliver evidenced-based support for individuals and teams. Lyra quickly connects members to an exclusive network of mental health providers and well-being tools, to address every mental health need and deliver positive outcomes across race and ethnicity. Independent peer-reviewed research confirms that Lyra’s transformative care model helps people recover twice as fast. For more information about Lyra Health’s Workforce Mental Health benefits for employers, visit lyrahealth.com.","About Lyra HealthLyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, nearly 20 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.We are looking for an experienced Machine Learning Engineer who cares about impact, ownership, cross-functional projects, and mentorship.This role can be carried out from our Burlingame, CA headquarters, hybrid, or fully remote/virtually. Please note - remote candidates must be physically located within the United States.ResponsibilitiesBe part of a team of innovative ML engineers working on core pieces of our ML and AI modelsTrain and evaluate machine learning models for search, recommendation, and clinical decision supportWrite production code to integrate ML models into our serving infrastructureCreate data systems to collect, clean, label, and store data used for featuresWork with product and clinical on requirements and solutions for ML and AI solutionsWork alongside data scientists to analyze online experiments and incorporate actionable insights into Lyra’s modeling approaches. Qualifications4+ years of industry experienceExpertise in machine learningAbility to write high-quality production code in PythonExperience delivering production-level machine learning models in an online settingStrong communication skills and ability to generate consensus and buy-in within the teamA track record of making high return-on-investment decisions in fast-paced environmentsPreferred QualificationsExperience using KubernetesExperience with a JVM coding language (especially Kotlin)Knowledge of Bayesian statistics or causal inferenceExperience delivering production LLM-based applications a plusExperience working with highly sensitive data in a healthcare environmentProtect yourself from recruitment fraudLyra Health does not use text or chat applications to conduct interviews or make job offers. We have a thoughtful and interactive interview process that primarily includes video-based interviews with our hiring teams. Communications will always be conducted from lyrahealth(dot)com or lyraclinical(dot)com domain names. Please disregard any other communications that do not include these domain names but appear to be from Lyra Recruiting.""We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice.""As a full-time Sr. Machine Learning Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $142,000 to $196,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.BenefitsAnnual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)L-yra for Lyrians; coaching and therapy servicesEquity in the company through discretionary restricted stock unitsCompetitive time off with pay policies including vacation, sick days, and company holidaysPaid parental leave401K retirement benefitsMonthly tech allowanceWe like to spread joy throughout the year with well-being perks and activities, surprise swag, free food, regular community celebration…and more!We can’t wait to meet you.",Mid-Senior level,Sr. Machine Learning Engineer
+626,2025-03-28,Boston,Massachusetts,Acceler8 Talent,http://www.acceler8talent.com/,"Acceler8 connects the top AI companies with the talent to scale fast, reach milestones, and secure funding so you can launch your AI products with confidence. We're at the forefront of connecting exceptional talent with ground breaking opportunities. We operate as the driving force behind visionary AI startups, actively shaping the future of technology across the Bay Area, Boston, New York, and beyond. 
+ 
+Our expertise spans a diverse array of tech specialties, including ML Research & Engineering, Software for ML Platforms, Semiconductor & Chip Design, Silicon Photonics, High Performance Computing, and Machine Learning Compilers. We serve as the catalyst for talent, ensuring that our clients have access to the most qualified professionals to propel their innovations forward. We'll build the team that turns your vision into reality.
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+Are you ready to Acceler8?🚀Contact us today! https://www.acceler8talent.com/contact-us/
+
+_____________________________________________
+
+Important Notice: Scam Alert Targeting Job Seekers
+ 
+We want to inform our network about a scam that is currently targeting job seekers through platforms like WhatsApp and LinkedIn. Please be aware that these messages are not from us or any of our employees. Rest assured, we are actively monitoring this situation and are taking it very seriously.
+ 
+If you have any doubts or concerns, please contact us directly through our official website https://www.acceler8talent.com/ or email us at info@acceler8talent.com. Please do not submit any personal information via links that are not from our official website.","Calling all ML engineers with a BSc from a top 25 CS program!!!🚀 Machine Learning Engineer – AI & Innovation📍 Denver | Hybrid (3 days in-office) | Relocation AvailableDo you have a background in ML? Thrive in high-impact AI environments? This is your chance to drive AI innovation with sensor fusion, computer vision, and cutting-edge ML techniques. This company values a strong educational background and sponsors a lab like environment full of experimentation and learning. They are open to hiring over a wide range of experience levels from junior to senior.Why Join?✅ Work on AI-driven sensor fusion & computer vision projects.✅ Collaborate with top AI engineers on complex, real-world challenges.✅ $120K–$180K + equity in a fast-growing, financially strong company.✅ Hybrid flexibility—Denver-based, with relocation support.What You’ll Do⚡ Develop & deploy ML models for object detection, classification & segmentation.⚡ Work with LiDAR, imaging & sensor fusion to push AI boundaries.⚡ Shape AI strategy—not just implement, but influence direction.What You Bring✔ BSc from a top 25 CS program—strong fundamentals matter.✔ More than just a model tweaker—you build & deploy real systems.✔ Deep Python & ML framework expertise—TensorFlow, PyTorch, OpenCV, etc.📩 Ready to make an impact? Apply now! 🚀",Mid-Senior level,Machine Learning Engineer
+627,2025-04-09,Irving,Texas,Spero Technology,http://www.spero-tech.com,"The reason Spero has grown a long list of loyal clients has little to do with our process or the logo on our business card. It’s because of our people. Armed with deep knowledge of their vertical, each member of our technical recruiting team works every day to uncover hidden talent.
+
+The demand for technical talent has never been greater or more competitive. We understand the unique landscape of technical talent, including how the right technical resource can make the difference. 
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+At Spero, diversity isn’t just a buzzword; it’s part of our belief system. As a Native American-owned business, we appreciate the contributions that diverse talent and suppliers make to our company and our clients. In fact, pushing our networking and partnering efforts in this direction allows us to find wonderful people others don’t, so our company and our clients benefit tremendously. That’s why we continue to pursue diverse talent for our clients, suppliers and our internal hires.","The Machine Learning Data Engineer plays a vital role in advancing strategic initiatives and operational efficiency through the development and deployment of data infrastructure and machine learning models. The position involves working within a Network Strategy and Innovation team to optimize operations and sustainability by leveraging advanced technologies and data-driven decision-making.Key responsibilities include:Data Infrastructure & Pipeline Development: Building and maintaining robust data pipelines that manage large datasets efficiently. The role involves creating backend infrastructure to support machine learning models and AI solutions, ensuring that they can handle and process data at scale.Machine Learning Model Deployment: Implementing and automating machine learning pipelines, monitoring models to ensure reliability, and integrating them into production environments. Close collaboration with data scientists is required to optimize models for better performance and scalability.Machine Learning & Analytics: Designing, developing, and deploying machine learning models and tools that can be used to improve operational processes within the system. The role also demands proficiency in Python, SQL, and other machine learning frameworks like TensorFlow or PyTorch.Basic qualifications include:Strong skills in Python and SQL with a focus on machine learning pipeline development.Experience with data visualization tools (e.g., Tableau, Power BI) to convey insights.Analytical abilities to manage complex data tasks and independently conduct analyses.Experience working with cloud platforms (AWS, Azure, GCP) and continuous integration/continuous deployment (CI/CD) tools.Preferred qualifications include:Advanced degrees in analytics, computer science, or related fields.Expertise in deep learning models and the full machine learning lifecycle.Familiarity with platforms like PySpark, Databricks, and relevant measurement systems.This role is essential for someone with a technical background in machine learning and data infrastructure, particularly those with experience in cloud environments, who wants to contribute to innovation and efficiency improvements.The company offers a competitive benefits package, including relocation assistance, health care options, a strong 401(k) plan, and wellness support. Access to discounts on travel, gym memberships, counseling services and wellness support. Annual bonus (Incentive Compensation Program) Generous leave / time off policies. They also emphasize diversity and equal opportunity in hiring.",Mid-Senior level,Machine Learning Data Engineer
+628,2025-03-31,New York,NY,The New York Times,http://www.nytco.com/careers,"The New York Times is powered by the idea that independent, deeply reported journalism fuels a healthy and engaged society. 
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+Our reporters, columnists, editors, engineers, designers, data analysts, developers and marketers breathe life into the most important topics of our time and tell stories that might otherwise go untold.
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+Whether bringing new truths to light with our reporting, building innovative products that deliver a best-in-class digital experience, or analyzing data to understand how we can best serve our readers, our people power the world’s top destination for journalism.
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+Working at The Times means envisioning and developing the future of journalism. Bring your passion, perspective and experience and join us as we seek the truth and help people understand the world. 
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+Check out our career opportunities (nytco.com/careers) and follow our page to connect with Times employees, journalists and readers.","The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About The RoleThe New York Times is looking for a Senior Machine-Learning Engineer to join our team focused on artificial-intelligence initiatives in the newsroom. The team prototypes internal and reader-facing applications of generative A.I. and other machine-learning techniques. Our goal is to develop powerful reporting tools and new forms of journalism for the benefit of our colleagues and our readers, while ensuring that our use of these technologies is always ethical and up to the standards of The Times.As a member of the team, you will brainstorm, evaluate, and prototype features and products that could improve internal workflows, reporting capabilities, and how The Times is presented to readers. The engineer will be responsible for building applications on top of machine-learning models to produce working prototypes. While expertise in machine learning and large foundational models is the most important technical skill for this role, the job also requires full-stack development experience and prior experience in media.The job reports to the editorial director for A.I. initiatives. You will also work closely with two machine-learning engineers, a designer and an editor. Together, our team partners with other members in the news, product and technology groups to conduct experiments and take the best ideas from prototypes to production. This role can be based in our New York City headquarters or fully remote in the US for candidates who do not live within a commutable distance of our officesResponsibilitiesBuild prototypes that use machine-learning techniques for the betterment of The Times news reportDevelop new algorithms, fine-tuning large-language models, and create other infrastructure for the team’s workCollaborate with the A.I. team and other desks in the newsroom to assess the value of each prototype and help determine those worth pursuing furtherStay up-to-date on the latest A.I. research and model development, to help inform the team’s work and spread technical proficiency throughout the organizationDevelop relationships with other technologists in the newsroom and on product teams, to learn from their existing work with A.I.Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.Basic Qualifications4+ years of software-engineering experience2+ years of developing applications with machine-learning modelsExperience in a newsroom or collaborating with journalists or other creative professionals on software developmentTechnical proficiency and recent experience working with large-language and transformer modelsDeep knowledge of machine-learning frameworksExperience evaluating the strengths and weaknesses of different A.I. modelsFull-stack engineering skills for developing front-end web applications and agents with server-side componentsPreferred QualificationsExperience fine-tuning machine-learning models at scaleAdvanced degree in computer science, data science, mathematics or a related fieldWe are looking for inveterate tinkerers, eager to experiment with a new API and share their findings with others. We favor demos over memos, prototypes over concepts, collaboration over silos, and learning over knowing it all. If these values resonate with you, please consider applying regardless of whether you meet all of the qualifications.In your application, please include at least two links to recent work with relevance to this role. If that’s not possible, please describe two recent projects with similar relevance.REQ-018023The annual base pay range for this role is between:$140,000 - $155,000 USDThe New York Times is committed to a diverse and inclusive workforce, one that reflects the varied global community we serve. Our journalism and the products we build in the service of that journalism greatly benefit from a range of perspectives, which can only come from diversity of all types, across our ranks, at all levels of the organization. Achieving true diversity and inclusion is the right thing to do. It is also the smart thing for our business. So we strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply.The New York Times Company is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable ""Fair Chance"" laws.For information about The New York Times' privacy practices for job applicants click here.Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at security@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.",Mid-Senior level,"Senior Machine Learning Engineer, A.I. Initiatives"
+629,2025-04-09,Foster City,California,Zoox,https://www.zoox.com,"Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.","High-definition semantic maps are a critical tool for enabling autonomous driving. We are looking for highly motivated individuals who are passionate about machine learning, computer vision, and machine perception. You will be part of our algorithm team with a diverse group of researchers and engineers, working together to build core machine perception algorithms to understand the natural environments and build semantic maps in an automated way.In This Role, You WillDesign and develop novel algorithms and ML models for 2D/3D machine perception in real-world environments.Leverage our large-scale ML infrastructure to speed up development and deployment of ML models.Stay up-to-date with the latest state-of-the-art research in computer vision and machine learning, and apply learned knowledge to improve our systems.Develop metrics and tools to analyze errors and understand improvements of our systems.Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Data Science, and more.QualificationsBS, MS, or PhD degree in Computer Science, Math or related fields.3+ years of industry or academia experience in related fields.Experience with training and deploying deep learning models.Experience with 3D computer vision and projective geometry.Proficiency in Python.Experience with deep learning frameworks such as PyTorch.Bonus QualificationsConference or journal publications in Computer Vision, Machine Learning or Robotics related venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICRA, RSS, etc.).Experience with high-definition (HD) maps.Experience with object detection, object recognition, semantic segmentation and/or semantic scene understanding.Experience with 3D reconstruction, SLAM and/or Structure from Motion (SFM).CompensationThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $196,000 to $246,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.",Not Applicable,Machine Learning Engineer - Mapping
+630,2025-04-03,Pleasanton,CA,BayOne Solutions,http://www.bayone.com,"BayOne is a minority-owned Technology and Talent Solutions Partner with a global footprint, headquartered in the San Francisco Bay Area. We excel at bridging talent and technology gaps, building strong teams in Project & Program Management, Cloud Computing, IT Infrastructure, Big Data, Software Engineering, User Experience Design, and more. Our commitment to customer success is matched by our passion for championing diversity in tech. We believe in sustainable practices and are dedicated to making a positive impact on the communities we serve. At BayOne, we’re more than a technology and talent partner—we’re a trusted ally in driving innovation and success. We are passionate about diversity in the tech industry and are dedicated to #MakeTechPurple. 
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+Our team will only email you via @bayone.com or @bayonesolutions.com email domains. ","👉 Note: This position is open only to candidates local to San Francisco, CA.Hiring: Data/ML Engineer – San Francisco, CA (Hybrid, 2 Days Onsite) | 12-Month ContractWe are looking for a Data/ML Engineer to join our team in San Francisco, CA. This role is hybrid (onsite 2 days per week, preferred) and offers a 12-month contract opportunity. If you're passionate about big data processing, cloud technologies, and MLOps, we’d love to hear from you!🔹 What You’ll Do:✅ Design and develop ETL/ELT pipelines for structured and unstructured data.✅ Build scalable data architectures on AWS, GCP, or Azure.✅ Optimize machine learning pipelines for training, validation, and deployment.✅ Work with data scientists to productionize ML models (MLflow, TensorFlow, PyTorch, Scikit-learn).✅ Implement MLOps best practices, including CI/CD pipelines for model deployment.✅ Develop real-time data streaming solutions (Kafka, Kinesis, Flink).✅ Automate workflows using Airflow, Prefect, or Dagster.✅ Ensure data quality, governance, and compliance with industry standards.✅ Monitor model performance and manage retraining pipelines.🔹 What We’re Looking For:✔ 3-7 years of experience in Data Engineering/ML Engineering.✔ Strong coding skills in Python, SQL (Scala/Java is a plus).✔ Expertise in big data frameworks (Spark, Hadoop, Dask).✔ Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).✔ Hands-on with containerization (Docker, Kubernetes).✔ Familiarity with feature engineering, feature stores, vector databases (Feast, Pinecone).✔ Proficiency in MLOps tools (Kubeflow, MLflow, SageMaker, Vertex AI).✔ Cloud experience (AWS S3, Lambda, SageMaker | GCP BigQuery, Vertex AI | Azure Synapse, ML Studio).✔ Experience with monitoring/logging tools (Prometheus, Grafana, ELK Stack).🔹 Bonus Points If You Have:⭐ Experience in Retail, Finance, Healthcare, or E-commerce.⭐ Exposure to A/B testing, recommendation systems, NLP applications.⭐ Understanding of data privacy regulations (GDPR, CCPA).",Mid-Senior level,Data/ML Engineer
+631,2025-03-13,Burbank,CA,Walt Disney Animation Studios,http://www.disneyanimation.com/careers,"Walt Disney Animation Studios, the studio behind ""Frozen,""​ ""Big Hero 6,""​ ""Zootopia""​ and ""Moana""​ brings imagination to life through animated films.  Our filmmakers and technologists work together to create the magic of animation. Bring your unique talents, passions and ideas to our team, and prepare to play in a creative and innovative environment.  
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+Visit www.disneyanimation.com for the latest news, openings, and more!","At Walt Disney Animation Studios we have a deep commitment to the philosophy that creativity inspires technology, and technology inspires creativity. Engineers in our Production Technology department are charged with developing and implementing new algorithms to solve unique and challenging problems for all of our animated content. We do this working alongside a user base that shares a collaborative environment with us, and uses the code we develop daily.We are looking for an engineer to join our Production Technology team, focusing on software development across multiple domains, from core libraries to user interfaces. In this role, you will partner with artists, production and technology leadership, technical directors, cross-team software engineers, and other technologists and researchers across Walt Disney Studios. You will be supporting, designing and implementing innovative workflows and state of the art solutions motivated by our new long-term vision for Walt Disney Animation Studios.Projects Include:Designing and implementing core infrastructure to manage our shot, environment, and asset definitions and structuresBuilding new APIs to allow for artist-facing and data management tools to more readily access shot contentExtending and improving the core libraries used for end-user asset authoringCreating user interfaces and tools for artists and technical directors to author, edit, access, and inspect shot and asset contentWhat does it mean to be a developer here at WDAS?Our engineers get the opportunity to work on the full stack of our tools, from developing the underlying algorithms through building intuitive artist-friendly interfaces.Work hand in hand with artists and a team of cross-site developers to make the tools we need for the incredibly complex characters/environments featured in our content.Develop on top of a highly performant, extendable in-house application framework.Develop new artist-centric interaction models using the latest hardware and technologies.You will be successful in this role if you have:A focus on writing performant solutionsExcellent problem solving, troubleshooting and debugging skillsAbility to collaborate with team members across different disciplines including directly interfacing with stakeholders to understand requirementsExemplary communication, teamwork and problem solving skills, balancing the timeliness of solutions with their sustainability. Able to collaborate with team and leadership to prioritize competing demands based on business value.Key Qualifications:Proficiency in Modern C++ (C++11 / 14 / 17 / 20+) and/or RustExperience with systems programming in a Linux environmentAbility to independently create simple, testable and robust code without LLM assistanceAt least 3 years experience designing and developing interactive toolsBS in Computer Science, Computer Engineering, Electrical Engineering, or related fieldBonus Qualifications:Understanding of computer graphics foundational concepts, and algorithmsKnowledge of animation, graphics techniques and algorithmsExperience building interfaces using the Qt UI toolkitExperience with the Open Universal Scene Description (OpenUSD) ecosystemExperience with scripting languages such as PythonStrong mathematical fundamentals, including linear algebra and numerical methodsStrong understanding of coding process, standards, continuous integration and testing principlesMasters in Computer ScienceThe hiring range for this position in California is $114,900-$154,100 per year based on a 40 hour work week. The amount of hours scheduled per week may vary based on business needs. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.",Mid-Senior level,Software Engineer - Core Software
+632,2025-04-01,Mountain View,California,Intuit,https://www.intuit.com/,"Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
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+We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations. ","OverviewJoin the Customer Data Platform (CDP) group as a Backend Software Engineer developing the core of customers insights for analytics, reports, GenAI and much more. If you love having stretch goals, real world challenges, and making customers incredibly happy whilst fostering your obsessive need for perfect code and user experience, this is the job for you.Join our innovative team to help build the next generation of awesome products andexperiences using cutting edge technology. You will collaborate with many teams in Intuit.We love engineers who lead the change, understanding the customers needs and delivering the most beautiful and intuitive applications.What you'll bring2+ years’ experience developing web applications at scaleExperience with:Large-volume data pipelinesWeb services (consuming or creating) with RESTBackend software development using Kotlin, Java Spring, or Spring-Boot to expose and consume RESTful web servicesUnit testing frameworks and mockingAt least one big data technologies e.g. kafka, flink, cassandra, redshift, bigqueryNoSQL and relational databasesKubernetes & DockerMicroservices architectureSelf-starter with a strong work ethic and a passion for problem-solvingA lead - not just technically skilled, but able to drive a project E2E and deliver it. Having a direct impact on the end-productSolid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiencesExperience working with cross-functional teams while maintaining effective working relationshipsBonus point:KotlinOpen SearchRed ShiftHow you will leadYou need to be self-motivated, proactive and a contributor of codeBe Agile, you will need to develop both BE and FE by the business needs and in high qualityAutomate processes, create tools, and build features that will improve everyone's experience with our data pipeline infrastructureBe able to read any code in an existing codebase and change itBuild and maintain strong cross-functional relationships /alignment with partners across the businessGathering functional requirements, developing technical specifications, and project and test planningAbility to work effectively in a fast paced, complex technical environment with high adaptability and flexibilityIdentify gaps and build a roadmap on how we can improve, keep a day one mindset.Communicates clearly and persuasively to all levels of employees, customers and managementWorking cross-functionally with various Intuit teams: Product Management, Experience Design, different product lines, or business units to drive forward results",Associate,Software Engineer 2
+633,2025-04-06,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Ads Targeting's goal is to help advertisers reach their desired audience and optimize advertisement performance. As a member of the Ads Targeting, Ads Core team, you will apply machine learning models to scale budgets by understanding user interest and intention, and build large-scale foundations for data processing and serving for next-generation ad targeting products. This team is working on a variety of products such as custom audience, interest, behavior, lookalike, auto targeting etc., as well as new innovative features.We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.What You'll Do Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the Tiktok ads monetization ecosystem. Build scalable platforms and pipelines for ads targeting products. Work with product and business teams on the product vision.QualificationsMinimum Qualifications: BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 3+ years of related experience. Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods. Strong coding skills, especially in Python/C++/Go. Experience with high-load systems. Familiarity with online experimentation and analytics. Familiarity with big data systems including Hadoop and Spark. Curiosity towards new technologies and entrepreneurship.Preferred Qualifications Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus. Understanding of the business value of online advertising. Experience with user modeling using deep learning methods from large scale datasets. Experience with privacy preserving modeling techniques is a plus. Experience in developing modern ads ranking/retrieval/targeting systems and recommender systems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer, Ads Targeting"
+634,2025-04-03,,,"Fenuz, Inc",,,"About Us:At Fenuz, Inc, we specialize in providing IT system training and support solutions to organizations, ensuring they are equipped with the tools and knowledge to maximize their technology. As we continue to innovate, we are looking for a skilled Machine Learning Engineer to join our growing team. In this role, you’ll leverage the power of machine learning to enhance our training programs, optimize support processes, and develop cutting-edge solutions that will help us provide even better services to our clients.Role Overview:As a Machine Learning Engineer at Fenuz, Inc., you will design, develop, and implement machine learning models and AI-driven tools that will enhance the efficiency and effectiveness of our IT support and training systems. Your work will directly impact the way our clients interact with technology, automating support tasks, personalizing training content, and driving actionable insights.Key Responsibilities:Model Development: Build, train, and deploy machine learning models that automate IT support tasks like issue classification, ticket routing, and system diagnostics.Data Analysis: Analyze large datasets to uncover patterns, forecast potential system issues, and improve system performance.AI Solutions for Training: Work closely with training teams to develop AI-driven solutions that personalize content and improve the learning experience for end-users.Collaboration: Partner with cross-functional teams to integrate machine learning models into IT systems and training platforms.Optimization: Continuously improve machine learning algorithms to ensure scalability, efficiency, and accuracy in production environments.Documentation and Reporting: Maintain thorough documentation for models, code, and processes to ensure reproducibility and ease of understanding for other team members.Qualifications:Proven experience as a Machine Learning Engineer, Data Scientist, or similar role.Strong proficiency in machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).Experience with data manipulation tools and libraries, such as pandas and NumPy.Knowledge of cloud platforms (AWS, GCP, Azure) and deploying machine learning models in cloud environments.Proficiency in programming languages like Python and R.Experience with natural language processing (NLP) or developing AI-driven tools, such as chatbots, is a plus.A solid understanding of model evaluation techniques and data processing methods.Ability to translate technical requirements into machine learning solutions.A degree in Computer Science, Data Science, Engineering, or a related field.Why Work with Us?At Fenuz, Inc., we believe in creating a supportive and inclusive environment where employees can thrive. Our comprehensive benefits package is designed to offer flexibility, promote well-being, and support your professional development.Benefits & Perks:Competitive Salary: $120,000 - $180,000 annually based on experience and qualifications.Health & Wellness:Comprehensive health, dental, and vision insurance for you and your family.Mental health support, including counseling services.Access to wellness programs and resources for physical and mental well-being.Flexible Work Environment:Remote work options with flexible hours to ensure a healthy work-life balance.Regular team-building events and social gatherings to stay connected.Professional Development:Annual stipends for training, certifications, and attending industry conferences.Access to online learning platforms to continuously enhance your skills.Retirement & Financial Planning:401(k) plan with company matching.Financial advisory services to help you manage your career and personal finances.Generous Paid Time Off (PTO):Vacation days, paid holidays, and sick leave.Paid parental leave to support you during family milestones.Employee Recognition:Performance bonuses and employee recognition programs to celebrate your contributions.Referral bonuses for bringing in top talent.Work-Life Balance:Paid volunteer days and the opportunity to give back to the community.Monthly wellness challenges and activities to support a balanced lifestyle.",,Machine Learning Engineer
+635,2025-03-10,Guangzhou,Guangdong,XPENG,https://www.xpeng.com/,"XPENG is a leading tech company that designs, develops, manufactures, and markets intelligent mobility solutions. We explore the diversity of mobility including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. We focus on creating a future of mobility that uses thoughtful and empathetic intelligence to improve the driving experience.
+XPENG is committed to in-house R&D, with almost 40% of our employees working in R&D-related areas helping to develop our expanding product portfolio. The Company has created a full-stack Advanced Driver Assistance System (XPILOT), as well as an intelligent operating system (Xmart OS) for an enhanced in-car experience. XPENG has also developed core vehicle systems for enhanced driving capabilities, including powertrains and advanced electronic architecture.
+XPENG is headquartered in Guangzhou, China with multi-regional offices in Beijing, Shanghai, Shenzhen, Silicon Valley, and San Diego. In 2021, the Company established its European headquarters in Amsterdam, along with other dedicated offices in Copenhagen, Munich, Oslo, and Stockholm. XPENG's EVs are manufactured at the fully-owned plant located in Zhaoqing, China. To further expand our production capacity, two new self-owned intelligent EV manufacturing bases in Guangzhou and Wuhan are under construction now.","XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.Job ResponsibilitiesFine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc.Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars.Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production.Work on efficient and effective ways to leverage large scale dataset and computational resource.Explore novel ways to generate synthetic data to improve the data diversity & quality.Communicate and align with different teams on product needs across the companyMinimum Skill Requirements:Ph.D in Computer Science or related fields.Solid background in machine learning, natural language processing (NLP), computer vision,speech or data.Experience in working with LLMsStrong python programming skills & software development, and strong experience with anymajor deep learning framework.Open-minded, collaborative and excellent communication skillsPreferred Skill Requirements:Deep understanding of language model modern architectures, ‘under the hood’ LLM training knowledge, quantization techniques, etc.Familiarity of large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc.Record of publications, innovations or leadership.What do we provide:A fun, supportive and engaging environmentOpportunity to make significant impact on transportation revolution by the means ofadvancing autonomous drivingOpportunity to work on cutting edge technologies with the top talent in the fieldCompetitive compensation packageSnacks, lunches, and fun activitiesThe base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.",Mid-Senior level,"Machine Learning Engineer - LLM, AI & Robotics"
+636,2024-11-04,San Francisco,CA,"Objective, Inc. (acquired by Upwork)",https://www.objective.inc,"A modern search platform that learns from human feedback.
+Say hi at hello@objective.inc","About Objective, Inc.Our mission here at Objective is to make search human. We're a search platform that empowers developers to add search that understands human intent to any web or mobile app. We power modern search experiences -- everything from retail search for companies like Pod Foods, to image search for companies like Dribbble, to article search for huge news sites like The Information. We power the developers that power the next generation of content relevancy.We're backed by Matrix Partners & Two Sigma Ventures, and our team are engineers and researchers from Apple, Google, Amazon (and other great companies) and have built some of the biggest ML & search systems in the world (that you've probably used!). Advances in AI and LLMs are changing the way the world searches, and Objective believes that powerful, modern AI-native search is a tool that should be in every developer's toolbelt.We're a fully-remote company, and believe that we get the best out of each other when we have the flexibility that remote work gives us.The RoleWe are hiring a machine learning engineer to help us develop the next generation of content understanding, search and recommendation. As a key member of the team you will have the opportunity to take ownership over several areas of the product:Stay up to date with the latest academic and industry research, continuously learn and apply cutting-edge techniques relevant to our search and recommendation technologyDevelop efficient and effective algorithms for adapting machine learning models to specific use casesRun experiments to optimize quality of deep learning systemsSystematically evaluate different approaches, build accuracy/performance reports and interpret their potential impact to our customer and business objectivesOwn machine learning experiments from initial idea to successful customer deploymentYou'll be joining as one of the key team members & will be critical to helping the team iterate and develop a product our customers love. This role is a great fit if you like moving quickly, can work across the stack when necessary and want a seat at the table making decisions about the future of the product & technology.Who you areTaking pride in your work, paying attention to detail, and deeply caring about the user experience, keeping the customer at the forefront of every decision.Being compassionate and helpful to others, enjoying working across the stack, building APIs and UIs to achieve goals.Quickly hitting the ground running, mapping out challenges and opportunities, and developing short and long-term improvement plans.Demonstrating strong ownership, driving tasks to success regardless of prior experience, and navigating ambiguity to deliver exceptional results.Always seeking better ways of doing things, experimenting with new tools and processes.Forming meaningful relationships wherever you go, earning respect and likability by valuing others.Actively seeking continuous feedback and being willing to share feedback across all levels of the company.Requirements & SkillsMS or PhD in Machine Learning, Natural Language Processing, Computer Science or related fields5-8 years experience as an Machine Learning EngineerDeep experience in deep learning, natural language processing and domain adaptationUnderstanding of unix, tcp/ip networking, storage system performance and concurrencyYou have demonstrated ability to quickly deliver project results in previous workTech stack: Python, Go, Pytorch, Tensorflow, AWS technologies5+ years of experience working with Python5+ years of machine learning experience3+ years working with cloud services (AWS, Lambda, RDS, S3, ECS/EC2, etc.)Nice to have:Bonus points for experience working on search, recommendation or personalization products.Bonus points for experience with multimodal representation learningBonus points for experience training LLMsAdditional Details:Must reside or work in the U.S. time zone, with a minimum requirement of PST+-3hrs.While we have an office in San Francisco, most of the team operates remotely.Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Objective we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.Objective provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.",Mid-Senior level,Machine Learning Engineer
+637,2025-04-09,SHERIDAN ,WY ,Aarna Software and Solutions LLC,https://www.aarnasoftware.com/ ,"Prospering in the industry for more than 10 years, Aarna Software and Solutions (ASAS) is the leading IT-staffing firm serving fortune 500 and 1000 companies. We, at ASAS, provide the best staffing and technology solution services to companies across the globe. Hiring top talents and helping them lead the best path to achieve their career goals is our topmost priority. Our cost-effective staffing and technology solution services have proved to be fruitful with time. Fast and affordable recruitment of the top talents is the reason why we are among the best recruitment services firms in United States. ASAS is a fast-growing, end-to-end IT-staffing services and solutions provider with clients in Financial Services, Technology, Communications & Media, Manufacturing & Retail, Energy and Utilities, and a variety of other industries. We provide clients with highly responsive and innovative solutions that help them integrate their IT strategy with their business goals and handle today's most pressing IT requirements. ASAS is a one-stop solution for all your staffing and recruitment requirements.","1 to 3 years of experience in machine learning and computer vision, with a proven track record in image processing and analysisProven hands-on experience in Python programmingProficient in programming languages relevant to AI/Client development ( TensorFlow, PyTorch)Strong proficiency in machine learning concepts and practical applicationFamiliarity with data analytics packages including pandas, NumPy, and scikit-learnIntermediate knowledge in statistics for data analysis and interpretationAbility to create insightful and visually appealing graphs using tools like Matplotlib or SeabornCollaborative mindset with excellent communication skills to work effectively in a teamhas context menuResponsibilitiesdevelopment and optimization of Computer Vision algorithms and Client modelsContinuously refine Client models to improve accuracyCollaborate with cross-functional teams to integrate AI/Client features into the applicationDevelop and maintain Python-based applications, leveraging expertise in Python programmingImplement and optimize machine learning models for data analysis and insights generationUtilize data analytics packages such as pandas, NumPy, and scikit-learn for efficient data manipulation and processingWork collaboratively with cross-functional teams to understand business requirements and translate them into technical solutionsApply intermediate knowledge in statistics to analyze and interpret complex datasetsCreate visually appealing graphs and visualizations to communicate findings",Entry level,Machine Learning Engineer
+638,2025-03-28,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","We are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. You will be part of our efforts to architect, design and implement a clean slate compiler for this activity and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts. You will contribute to a full stack development effort compiling PyTorch models down to binaries for custom hardware accelerator blocks.Software Engineer, Systems ML - Compilers Responsibilities:Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators.Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance.Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools.Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.Analyze and improve the efficiency, scalability, and stability of our toolchains.Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.2+ years experience developing compilers, runtime, or similar code optimization software.Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis.Experience in AI framework development or accelerating models on hardware architectures.Preferred Qualifications:Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow.Experience with machine-code generation or compiler back-ends.Experience working and communicating cross functionally in a team environment.Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Systems ML - Compilers"
+639,2025-03-31,Concord,Massachusetts,ERG,http://www.erg.com,"ERG is a multidisciplinary consulting firm offering a broad range of professional services. From offices across the country, we serve a spectrum of public and private clients, including federal agencies, state governments, corporations, and universities.","ERG is a research and consulting firm that provides a wide range of support to federal, state, and commercial clients. ERG offers multidisciplinary teams with nationally recognized skills in engineering, science, economics, public health, informational technology, and communications. We hire people with the best minds and then provide them with a vibrant and flexible environment in which to develop their careers. The qualified individual must be highly motivated with the skills to prioritize, perform, and communicate effectively in a fast-paced environment. ERG is seeking an experienced Data Scientist to independently develop and lead projects focused on information extraction from documents. This data scientist will be working within the newly established Product Impact group helping ERG build a key database of environmental product declarations and product category rules.Job Description:Lead the development and implementation of data extraction solutions from various document typesDesign, develop, and maintain algorithms and models for information extractionEnsure the integrity and accuracy of extracted dataPrepare technical design documents and specificationsConduct technical reviews of data extraction solutions created by others to ensure compliance with applicable standards, codes, and regulations, as well as end-user requirementsSupport the data extraction process from concept through delivery of the completed solutionCollaborate and communicate effectively with other stakeholders, both internal and external, and the development team (e.g., engineering department, IT department)Qualifications and Skills: A minimum of 3 years of experience in data science is required; 5+ years is preferredAt least three years of experience with information extraction from documentsExperience with machine learning and generative AI models and APIsProficiency in Python and relevant data science librariesExperience with cloud platforms, preferably Google Cloud Platform (GCP)Experience working with lifecycle assessment, greenhouse gas emissions data and/or supply chain platforms is a plusAbility to prioritize, perform, and communicate effectively in a fast-paced environmentERG offers competitive salaries and excellent benefits, including health and dental insurance, life insurance, long-term disability, educational benefits, FSAs, a generous 401k plan, profit sharing, an EAP, 11-20 paid vacation days per year, 10 paid holidays per year, 56 hours or more of sick leave (based on the state you work in) per year (pro-rated for part-time) and more. The salary range for all positions depends on the years and type of experience.   ERG is an equal opportunity employer and complies with all applicable EEOC regulations. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual preference, national origin, disability, or status as a protected veteran.     Please be aware, the only authentic corporate domain for ERG is https://www.erg.com.  ERG may, on occasion, screen applicants via telephone or video interviews via Skype, Teams, GoToMeeting, or another type of video platform. However, any candidate extended a job offer might be asked to meet in person with an ERG employee before providing confidential personal information associated with new employment.   If you’re a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access ERG’s online application process as a result of your disability. To request accommodation, please contact Human Resources via email at Resumes-Lex@erg.com or call (781) 674-7293.   ERG fosters a friendly, flexible work environment. ERGers are dedicated to serving clients who are committed to making the world a better place. We promote and recognize principles of fairness and respect in the work we do, the partnerships we foster, and the culture we value both within and outside of our organization. ",Entry level,Data Scientist
+640,2025-03-23,,,Disney Experiences,https://disneyconnect.com/,"Disney Experiences brings the magic of Disney stories and franchises to life through theme parks, resorts, cruise ships, unique vacation experiences, products and more around the world.
+
+Parks
+Disney Parks is one of the world’s leading providers of family travel and leisure experiences, with six resort destinations across the globe, including 12 theme parks, 55 resort hotels, and other unique vacation experiences.
+
+Experiences
+Disney Signature Experiences offers family travel and leisure experiences beyond theme parks inclusive of Disney Cruise Line, Disney Vacation Club, Aulani, A Disney Resort & Spa, Adventures By Disney, National Geographic Expeditions and Storyliving by Disney.
+
+Products
+Disney Consumer Products brings beloved brands and franchises into the daily lives of families and fans through products – from toys to t-shirts, apps, books, console games and more – on the Disney Store e-commerce platform and at Disney Parks, local and international retailers, as well as Disney Store locations globally.","If you are reading this, we can guess two things about you: You love to code, and you’re interested in Disney! So, would you like to combine these two together and begin your storytelling journey here at Disney?Within Disney Experiences (DX), storytelling is a part of every role! As a member of our team of talented engineers, you’ll help the Consumer Insights, Measurement and Analytics (CIMA) segment tell a story using data and guest focused insights.What you will do: You will help bring data to life! In this role, you will help translate digital guest data into useful metrics that create magical real-world experiences for our guests. Additionally, you will help investigate, recommend, and deploy the next generation of “big data” tools for CIMA and DX bringing our team and department into the future. Our team puts an emphasis on including all our members in discussions, architecture decisions, and software development, so your insights will be considered from day one.You will also help power the future of artificial intelligence across Disney Experiences by supporting and building high-quality data science pipelines that feed into our most advanced machine learning and Generative AI initiatives. You’ll work closely with data scientists, engineers, and analysts to make sure foundational data is accurate, scalable, and production-ready to support innovation and experimentation in areas like personalized recommendations, content generation, and guest experience enhancements.The Analytics (Data) Engineer reports to the Senior Manager of Data Services. Every day is different.What you will do: Support data pipelines critical to data science and machine learning workflowsContribute to cutting-edge Generative AI projects that bring innovation to life for our guests and cast membersDevelop data automation and requirementsAccurately identify root cause of issuesSupply quick defect fixesParticipate in a “stand up” status meetingDeploy solutions that match customer requirementsRegularly document changes and proactively updates progress in the request systemMake suggestions on new approaches to drive adoption, efficiency, quality, or reliabilityCommunicate effectively with technical and non-technical teams, in support of DX partnersFollow corporate policies and laws regarding software development, data privacy and securityIndependently learn new engineering practices to keep current with the latest technologyJoin your team for a fun-filled visit through Walt Disney World ResortRequired Qualifications & Skills 5+ years of experience in a Software Engineering role. Consistent self-motivation and passion for coding and data Excellent written and verbal communications skills Familiarity with Python and SQL Familiarity with version control concepts and tools (such as GitHub/GitLab) Understanding of SDLC (Software Development Life Cycle), Continuous Integration, Quality Assurance, and Agile Methodologies Dedicated to crafting an effortless user experiencePreferred Qualifications: Experience with Java, Springboot Framework, and/or R. Proficiency with Python and SQL Familiarity or experience with Cloudera Data Platform Ecosystem, PySpark. Understanding of Artificial Intelligence, Generative AI, and Machine Learning concepts. Experience building or supporting data pipelines for data science or machine learning applications Experience in Generative AI tools, models, or workflowsRequired Education: Bachelor's degree in computer science or related field.Preferred Education: Master's degree in computer science or related fieldOnsite requirements/expectations:4 days in office in Celebration, Florida#DISNEYTECH",Mid-Senior level,Analytics Data Engineer – A Data Engineering role focused on supporting digital analytics and Data Science teams.
+641,2025-03-30,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionThe Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer(SDE)/Machine Learning Engineer(MLE) to play pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs!Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry!So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this exhilarating adventure and let's revolutionize AGI together! #MLEKey job responsibilities Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs. Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications. Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.A day in the lifeAs a SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software.About The TeamJoin our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Master's degree in computer science or equivalent Experience in techniques like kernel fusion and custom kernels to improve GPU utilization, mixed precision training using lower precision and dynamic loss scaling while leveraging hardware specific mixed precision capabilities and/or demonstrated ability to implement efficient memory management like gradient (activation) checkpointing, gradient accumulation, offloading optimizer states, and smart prefetching.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2782056",Not Applicable,"Machine Learning Engineer, Amazon General Intelligence (AGI)"
+642,2025-04-01,San Mateo,California,Stash Hotel Rewards,https://www.stashrewards.com/travel/?utm_source=stash&utm_medium=social&utm_campaign=linkedin,"Stash Hotel Rewards (Stash) is the top-rated points-based loyalty program for independent hotels. Members can earn and redeem points for free nights at unique, independently-run hotels across the US, Canada, Mexico, and the Caribbean. Stash makes it easy for inspired travelers to break free from big, bland hotel chains and stay where they really want.
+
+Stash was founded on a belief in the happiness-producing power of traveling to places that convey a unique and interesting story – places with soul. It’s a belief shared with the independent hoteliers and the independently-minded travelers the company was created to serve. 
+
+Stash offers a collection of one-of-a-kind independent hotels – from distinctive business-class properties to landmark historic inns to top-rated resorts – in top travel destinations across the country. Recognized for their remarkable design, comfort, and service, many of the properties appear on the Best Hotels lists of the leading travel publications and have received some of the highest recommend ratings on popular travel sites.","About Stash Hotel RewardsWe’re a small company with a big mission: to bring independent travelers and independent hotels together. That’s why Stash Hotel Rewards was born.We’re in the travel business, so travel is one of our perks. Stash employees can stay at some of the best independent hotels for next to nothing. Which is easy to do, since we have no set vacation policy. We hire responsible people who get the job done on time, so we don’t need to watch over them. Our environment is casual and flexible — you’ll find us working from homes, coffee shops, and satellite offices. Our comprehensive benefits include a competitive salary, health and disability insurance, and a 401(k) plan.We need people who are autonomous, creative, super-smart, and fearless. And let’s not forget nice.OpeningTitle: Software Engineer - Front EndLocation: RemoteEmployment type: Full-timeOverviewStash Rewards is a leading loyalty program for independent hotels, offering travelers the opportunity to earn and redeem points at over 300 unique, highly-rated hotels across North America. Our program and services allow independent hotels to compete with large chains, reward their loyal guests, and promote direct booking practices. We are committed to delivering exceptional experiences to both our end-users and hotel partners through innovative and user-friendly technology solutions.ResponsibilitiesTechnology has always been integral to our company and this role, like all team members, plays a crucial role in our company’s development and future growth. You’re a super-smart, innovative front end software engineer who will help us execute Stash’s product vision. You will work closely with Stash Hotel Rewards team members to build smart solutions for independent hotels, Stash Members, and your colleagues.You will be responsible for developing and maintaining several Stash Rewards platforms, primarily contributing to user-facing interfaces. Stash is a collaborative workplace, so we are looking for a candidate who is excited to both apply their expertise to improving our front-end code base and provide constructive input and direction as we consider how future frontend features will look and function.In This Role, You WillDevelop and maintain the front end of Stash Hotel Rewards. As we overhaul and modernize our primary B2C site, which runs on a Rails monolith, you will help us decouple frontend and backend services to be more flexible and open to UI/UX improvements and future mobile app development.Enhance and support our partner portal, providing partner hotels access to educational materials, program tools, and data insights.Optimize tools for partner hotels to share Stash with their guests through digital channels, including our “inline enrollment” feature and “book direct” widgets.Work with members of our Marketing, Member Support, and Partner Advocate teams to review, plan, and implement future UI / UX and functional enhancements.Skills And RequirementsThe ideal candidate:3+ years of frontend development experience with proficiency in JavaScript, React, jQuery, and Bootstrap. Experience with Ruby on Rails development and component libraries like Telerik is a plusStrong understanding of responsive design, web standards, and cross-browser compatibilityExpertise working with frontend frameworks incl: familiarity with API integration and front-end architecture best practicesExperience developing consumer-facing applications within the travel / hospitality industry is a plusKnack for getting things done without sacrificing qualityStrong experience with agile software development techniques, developer driven testing, and highly automated test environmentsInquisitive, self-starting, and efficientExceptional problem-solving skills and an inclination to tap into the broader technology community to leverage existing solutions when applicableA business mind-set and team orientationBachelor’s degreeCompensation: From $95,000 to $130,000 per year",Mid-Senior level,Software Engineer - Front End
+643,2025-01-25,Corning,New York,Corning Incorporated,https://www.corning.com,"Corning is one of the world's leading innovators in materials science, with a 170+ year track record of life-changing inventions. Corning applies its unparalleled expertise in glass science, ceramics science, and optical physics along with its deep manufacturing and engineering capabilities to develop category-defining products that transform industries and enhance people's lives. Corning succeeds through sustained investment in RD&E, a unique combination of material and process innovation, and deep, trust-based relationships with customers who are global leaders in their industries. 
+
+Corning's capabilities are versatile and synergistic, which allows the company to evolve to meet changing market needs, while also helping our customers capture new opportunities in dynamic industries. Today, Corning's markets include optical communications, mobile consumer electronics, display technology, automotive, and life sciences vessels. Corning's industry-leading products include damage-resistant cover glass for mobile devices; precision glass for advanced displays; optical fiber, wireless technologies, and connectivity solutions for state-of-the-art communications networks; trusted products to accelerate drug discovery and delivery; and clean-air technologies for cars and trucks.
+
+Terms of Use: http://ow.ly/ObPiI","Requisition Number: 66496Corning is vital to progress – in the industries we help shape and in the world we share.We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers.The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies. Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes. IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.Data, automation and advanced analytics technologies are drastically transforming industrial manufacturers beyond point process automation to systemic, highly contextualized and data driven systems. Corning is building the foundational digital infrastructure for these company-wide efforts, and are looking for passionate, hard-working, and talented staff-level software engineers that will develop and enhance the data ingestion pipelines that are crucial to these efforts.Scope of PositionWe are seeking a seasoned AI/ML Engineer with a track record of designing and implementing machine learning methodologies and data science methodologies across various business units. This role will work with the business, define the problem, document and recommend the best solution through the use of ML/AI methodologies. You will be tasked with creating models, including but not limited to ARIMA, Prophet, XGBoost, Regression, Random Forest, Deep Learning Models, and Generative AI Models for given use cases that can scale across the enterprise.Responsibilities Develop and implement AI/ML data science methodologies and AI Products that align with business objectives.  Generate comprehensive whitepapers and reports to provide strategic recommendations on AI data science initiatives.  Design and implement various forecasting models to support business decision-making.  Work with Generative AI models and Language Models (LLMs) to solve complex business problems.  Build scalable AI/ML models for given use cases, including price elasticity and recommendation systems, ensuring applicability/reusability across multiple business units.  Participate in AI COEs (center of excellence) to drive governance and reusability as well as AI Products adoption.  Leverage tools such as Databricks and AWS SageMaker to manage data, build models, and deploy solutions.  Collaborate with stakeholders, understanding their needs and translating them into AI/ML solutions.  Continually monitor and evaluate the effectiveness of AI/ML models and forecasting techniques, making necessary adjustments to optimize performance.  Stay abreast of the latest AI/ML trends and technologies, identifying opportunities for innovation and improvement. Education And Experience Bachelor's degree in Computer Science, Statistics, Mathematics or related field is preferred.  10+ overall years of experience with minimum of 8 years of experience AI/ML data science, with a focus on strategy development and implementation. Required Skills Proven expertise in designing scalable AI/ML models and forecasting models like ARIMA, Prophet, LSTM, SARIMA, and XGBoost (experience in 2 models not all required)  Demonstrated experience with recommender systems, regression models, generative AI models, and Language Models (LLMs).  Demonstrated ability to generate whitepapers and in-depth reports, advising businesses on how to execute AI data science strategies.  Strong understanding of machine learning algorithms, data analysis, and statistical modeling techniques.  Excellent communication and presentation skills, with the ability to translate complex data insights into understandable and actionable recommendations.  Ability to Communicate well with users, other technical team to collect requirements, describe data modeling decisions.  Demonstrated programming proficiency in R or Python Desired Skills Understand concepts of big data engineering, ETL and ELT pipelines for data warehousing, on-premise and cloud data lake environments  Proficiency with tools such as Databricks and AWS SageMaker.  Familiarity with MLOps.  Experience with Sagemaker, Databricks, DBT, AWS platform services, including AWS S3 & EC2  Experience with Data Migration Services (DMS), RDS, EMR, RedShift, Glue, Lambda, DynamoDB, CloudWatch, CloudTrail a plus  Hands-on technical familiarity with Apache Spark architecture, S3, parquet and Delta Lake architecture, technologies and tools  Familiarity with agile software development & continuous integration + continuous deployment methodologies along with supporting tools such as Git (Gitlab), Jira, Terraform, New Relic  Familiarity with notebook environments including JupyterHub This is an excellent opportunity for an AI/ML Engineer who is passionate about driving business growth and innovation through data science. If you have the required experience and skills, we look forward to your application.This position does not support immigration sponsorship. The range for this position is $123,494.00 - $169,804.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO. Corning Puts YOU First! We are committed to supporting your health, financial, career development, and life goals as you grow professionally and personally to achieve your highest potential. All benefits begin as soon as you start your career at Corning. Our monetary peer-to-peer recognition program is tied to our Values and celebrates you and your colleagues’ contributions.  Health and well-being benefits include medical, dental, vision, paid parental leave, mental health/substance use, fitness, and disease management programs.  Financial benefits include a 401(k) savings plan with company matching contributions and a 100% company-paid pension benefit that grows steadily throughout your career.  Companywide bonus and attractive short- and long-term compensation programs are available based on your role and responsibilities.  Professional development programs help you grow and achieve your career goals. We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at accommodations@corning.com .",Entry level,AI/Machine Learning Engineer
+644,2025-04-08,Everywhere,,OKX,http://www.okx.com,"At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom.
+ 
+OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). 
+
+OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE. 
+
+We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features. 
+
+We believe in good sportmanship and the pursuit to be better. You may see our OKX logo neatly fitted on the McLaren F1 cars, Manchester City FC team shirts, or at the Tribeca Film Festival celebrating artists and creators. Wherever you may find us, you will notice our pursuit of making our world more efficient, transparent, and connected. 
+
+To learn more about OKX, download our app or visit: www.okx.com
+
+UK users follow: https://www.linkedin.com/company/okxuk/
+
+Learn more about working at OKG, the business group developing OKX, our Digital Assets Exchange, our Web3 portal and blockchain ecosystems: bit.ly/WorkingatOKG","Who We AreAt OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.About The OpportunityWe are seeking a highly skilled and experienced Senior and Staff Machine Learning Engineers to join our Risk Engineering Team. The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on.What You’ll Be DoingDesign, develop, and deploy machine learning models to detect and prevent fraudulent activities. Work closely with cross-functional teams to understand business requirements and translate them into technical solutions. Optimize existing machine learning systems for performance and scalability. Collaborate in the architecture and design of data pipelines and infrastructure to support machine learning workflows. Conduct research and implement new machine learning techniques and methodologies. Mentor junior team members and contribute to knowledge sharing within the team. What We Look For In YouAt least 3-5 years of experience in Machine Learning Engineering. Proficiency in Python and familiarity with Java. Solid understanding of common machine learning models, including experience with frameworks like LightGBM, XGBoost and transformer based language model. Experience with SQL and familiarity with common data products such as PostgreSQL, DynamoDB, Kafka, and Redis. Knowledge of at least one neural network framework, such as PyTorch, Tensorflow, JAX. Experience in building and maintaining data pipelines. Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Familiar with at least one major cloud services, like AWS, CGP, Azure or Alicloud Nice to HavesExperience in fraud detection, specifically in areas like bot detection, credit card chargeback prevention, and promotion abuse protection, is highly desirable. Perks & BenefitsCompetitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events OKX StatementThe salary range for this position is $92,426 to $238,513. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.",Mid-Senior level,Machine Learning Engineer
+645,2025-03-25,London,London,Lawrence Harvey,http://www.lawrenceharvey.com,"Lawrence Harvey, established in 2002, is an international recruitment business specializing in Technology recruitment. Our consultants are specialists in their specific fields of recruitment, therefore we have expert recruiters in Enterprise Applications, CRM, Data & Analytics, Security, Infrastructure & Development and Business Advisory & Strategy.
+
+We are part of a larger group business, LHi Group Ltd, which has multiple non-competing brands specializing in Life Sciences, Energy and The Built Environment.
+
+With multilingual consultants and offerings in UK, USA, France, Holland and the DACH region we have an unparalleled network across Europe and a global reputation for expertise. Our consultants are true specialists in their niche markets; their in-depth technical knowledge and experience sets Lawrence Harvey apart from our competitors. 
+
+Recently listed 8th in The Sunday Times ‘The Best 100 Companies to work for’, our investment in our people gives us the expertise and network to add real value to our relationships. With a focus on specialist markets and a consistent delivery of results, Lawrence Harvey is a client and candidate’s first choice, every time.
+
+Recent Achievements:
+2017 - Listed 8th in The Sunday Times 'Top 100 Best Companies to work for'​ 
+2015 – Listed 7th in The Sunday Times ‘Best 100 Companies to work for’
+2014 – Listed 34th in The Sunday Times ‘Best 100 Companies to work for’
+2013 – REC IRP AWARDS – Best Newcomer – Winner
+2013 – REC IRP AWARDS – Best Company to work for– Finalist
+2013 – REC IRP AWARDS – Back Office Team of the year – Highly Commended
+2012 – NATIONAL TRAINING AWARDS – Winner","Software Engineer (Backend/ML) - Early Stage Startup - San Mateo, CA (Hybrid)I am working with a firm that leverages AI to help B2B marketing teams scale personalized, omnichannel campaigns while ensuring brand consistency.We're after someone who doesn't just code, but crafts. Someone who enjoys solving customer problems and gets things done end-to-end. You should excel in:Python, AWS services and cloud architecturePostgreSQL and database optimizationDesigning and implementing RESTful APIsWriting clean, efficient, and maintainable codeBuilding scalable, distributed systemsThinking about system design holisticallyAt least 4 years of working experience (mix of startup and big company experience preferred)*No Sponsorship Opportunities Available at this Time*Software Engineer (Backend/ML) - Early Stage Startup - San Mateo, CA (Hybrid)",Mid-Senior level,Software Engineer (Backend AI/ML)
+646,2025-03-29,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionWe work on state of the art agentic systems built around Large Language Models (LLM). This is a fast paced dynamic environment to rapidly experiment and deliver scaled runtime solutions based on experiments and research based on LLM agents.As a Senior Machine Learning Engineer on the team, you will collaborate closely with science teams to bring research to production. This is a role that combines engineering knowledge (around machine learning, agent frameworks, computer vision), technical strength, and product focus. You will lead the design and development of novel ML systems, product integrations, and performance optimizations into production. While ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability, security and availability).Key job responsibilities Design, develop, test and deploy inference solutions for high-end LLMs Explore emerging inference optimization techniques Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems Own the development and operationalization of solutions deployed in production. Design model experimentation processes and frameworks in synergy with our scientists. Help the team grow and cultivate best practices in software development, MLOps, and experimentation.Basic Qualifications 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering teamPreferred Qualifications 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Development Center U.S., Inc.Job ID: A2921606",Not Applicable,"Machine Learning Engineer, AI/LLM, Amazon Shopping"
+647,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesThe Business Risk Integrated Control (BRIC) team is missioned to: Protect TikTok users, including and beyond content consumers, creators, advertisers; Secure platform health and community experience authenticity; Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.The BRIC team works to minimize the damage of inauthentic behaviors on TikTok platforms (e.g. TikTok, CapCut, Resso, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc. In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.Responsibilities: Build machine learning solutions to respond to and mitigate automated traffic to TikTok products/platforms. Such solutions include but are not limited to analyzing data collected by client-side security SDKs, anomalies in client environments and user behaviour. Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups. Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.QualificationsMinimum Qualifications: Solid engineering skills. Proficiency in Linux, Hive, Spark. Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning. Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.Preferred Qualifications: Bachelors or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors. 2 years of industry experience in a software development environment. Prior exposure to security and risk control solutions.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Entry level,"Machine Learning Engineer, TikTok Anti-Automation"
+648,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting-edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are also exploring how to leverage LLM to further enhance TikTok users search experience, potentially sharping the search engine for the next generation. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok 's technical online assessment through HackerRank.Responsibilities: Search Engine Research and Development: Participate in the research and development of ByteDance's search engine. Utilize cutting-edge machine learning algorithms and vast amounts of data to create the most exciting technologies and provide users with the best search experience. Core Product Search Development: Contribute to the search development of core products like Toutiao and Douyin, serving hundreds of millions of users. Search Core Architecture Improvement: Web Search System: Design and develop data flows for web searches at the trillion-page scale, distributed indexing systems, and online retrieval systems. Create industry-leading retrieval architectures. Spider System: Design and develop services for real-time computing, scheduling, distribution, pressure control, and crawling in a trillion-page Spider system. Stability Solutions: Design and develop high-availability solutions for search engine stability, automated testing, and maintenance platforms. Innovative Architecture Implementation: Here, you can realize your architectural dreams without any historical burdens.QualificationsMinimum Requirements: Academic Background: Current undergraduate or graduate student graduating in 2025, majoring in Computer Science, Software Engineering, or a related field. Problem-Solving Skills: Excellent analytical and problem-solving abilities. Programming Skills: Outstanding coding skills, with a strong foundation in data structures and basic algorithms. Development Environment: Familiarity with Linux development environment and proficiency in at least one programming language such as C++, Java, Python, or Go.Preferred Requirements: Distributed Systems Experience: Prior experience in distributed systems development. Search Engine Technologies: Familiarity with search engine technologies and architectures. Machine Learning Knowledge: Understanding of machine learning algorithms and their application in search engines. Team Collaboration: Experience working in a collaborative, team-oriented environment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job InformationAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Software Engineer Graduate (Data - Search - TikTok.US ) - 2025 Start (BS/MS)
+649,2025-03-30,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.Software Engineer (Robotics) Responsibilities:Work closely with researchers and cross-functional partners spanning multiple teams and disciplines to define technical goals and lead implementation.Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models on real robot hardware and simulation environments.Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness.Effectively communicate complex features and systems in detail to diverse stakeholders.Publish research results and contribute to research that impacts Meta product development.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.3+ years of experience in robotics or related field, or advanced degree with equivalent experience.Experience in robotics related research areas, such as: generative AI, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer, robotic control, manipulation, navigation, or generally embodied AI.Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc.Proficiency in programming languages such as Python, C++, or similar.Preferred Qualifications:PhD in computer science, robotics, AI, or related fields.4+ years of industry experience, or advanced degree with equivalent experience.Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV).Proven knowledge of robotics fundamentals (perception, planning, control)Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.Experience with generative AI, especially VLM.Experience building systems based on machine learning and/or deep learning methods.Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.Experience working and communicating cross functionally in a team environment.Experience with robot simulations and real-world hardware.Experience designing and developing new robotic systems, platforms or infrastructure.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,Software Engineer (Robotics)
+650,2025-04-02,Dallas ,TX,Sibitalent Corp,https://www.sibitalent.com/,"Sibitalent Corp is a fast-growing renowned IT, Software development, Staffing, and Consultancy firm based out of Murphy, TX with it’s delivery center based out of Noida, India with the sole purpose of delivering tailored and innovative IT solutions to its clients worldwide. If we talk about our IT Staffing services, it’s a one-stop recruitment solution where recruiters have the ability to think out of the box and render the best solutions to our clients to overcome their staffing challenges.
+
+Our expert recruiters with deep knowledge of technological and Managerial advances help organizations in a better understanding of customer's resource requirements. Their team-building effort and endless capabilities help people globally to develop a digital tomorrow. We believe in delivering customized and optimized mobile and web applications that help business organizations to leverage technology with increased ROI and reduced cost.
+
+Sibitalent Corp mission is to deliver cutting-edge solutions that thrive our client’s business values. We offer innovative solutions to various key vertical industries with a particular focus on.
+
+✔ Mobile App Development
+✔ Web Graphic and Design
+✔ Web Development
+✔ E-commerce Solutions
+✔ Digital Marketing
+
+Sibitalent Corp provides customized recruitment solutions based on needs of our client, our bouquet of offerings covers Permanent Staffing, Contract Staffing, RPO, Executive Search, Technical Assessments, Background Verification and many more.
+
+✔ Permanent Staffing
+✔ Talent Acquisition / Executive Search
+✔ Outsourcing and Consulting
+✔ Temporary Staffing
+✔ ERP Solutions
+✔ Payroll Management","Role: Machine Learning EngineerLocation : Santa Clara County, California, United StatesWork Type : Full timeRequirementsGood foundation and practical experience in executing multiple ML ProjectsStrong statistical background professionally or academicallyGraded Certifications or a degree in Machine Learning is a mustExpertise with ML concepts like: Classification algorithms, regression, clustering and semi-supervised learningExposure to ML ExplainabilityFamiliarity with Time Series concepts like AR, ARIMA, SARIMA, Exponential Smoothing, etcFamiliarity with Neural networks and time dependent neural networks like GRUs and LSTMs.Proficiency in utilizing any of the public cloud providers for designing, building and deploying enterprise grade ML solutions.15+ years of total experience with minimum 7+ years of relevant experienceGood To HaveHands on experience with MLOpsCreating end to end inferencing pipelines for monitoring concept drift and data driftExperience with NLP or Gen AIRecommender Systems",Mid-Senior level,"Machine Learning Engineer - Santa Clara County, California, United States"
+651,2025-03-24,Boston,Massachusetts,Cohere Health,http://www.coherehealth.com,"Cohere Health is a clinical intelligence company that provides intelligent prior authorization as a springboard to better quality outcomes by aligning physicians and health plans on evidence-based care paths for the patient's entire care journey. Cohere's intelligent prior authorization solutions reduce administrative expenses while improving patient outcomes. The company is a winner of the TripleTree iAward and has been named to both Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists. Cohere's investors include Flare Capital Partners, Define Ventures, Deerfield, Polaris Partners, and Longitude Capital.","Company OverviewCohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.Opportunity OverviewIn this role, you’ll join our growing team of world-class machine learning engineers and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices.Our ML team’s work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources.Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.What You Will DoDesign, develop and deploy advanced machine learning algorithms for retrieval, classification and generative use cases.Develop reliable and scalable production machine learning systems.Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deploymentWork cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives.Your Background And CharacteristicsYou have 2+ years experience in applied ML in the industry with a masters degree in computer science, machine learning, mathematics or a similar fieldClear understanding of model building, model maintenance and the measures that optimize models for production useUnderstand experimental design and can independently perform collection, measurement, and interpretation of resultsExpert in Python with experience in deep learning frameworks (e.g., PyTorch)Hands on experience building deep learning models (e.g., transformers) for NLP tasksBonus Points ForExperience with generative AI or Retrieval Augmented Generation (RAG)Experience working with unstructured healthcare data (e.g., clinical notes)Experience with OCR or image-based document understanding techniquesHands on experience using AWS tools such as SageMaker Studio We can’t wait to learn more about you and meet you at Cohere Health!Equal Opportunity Statement Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.The salary range for this position is $110,000 to $130,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.#BI-Remote",Entry level,Machine Learning Engineer II
+652,2025-04-02,San Francisco,California,Pinterest,https://www.pinterest.com/,"Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 550+ million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments. ","About PinterestMillions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.What You’ll DoBuild cutting edge technology using the latest advances in deep learning and machine learning to personalize PinterestPartner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areasUse data driven methods and leverage the unique properties of our data to improve candidates retrievalWork in a high-impact environment with quick experimentation and product launchesKeeping up with industry trends in recommendation systems What We’re Looking For 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)Nice to have:M.S. or PhD in Machine Learning or related areasPublications at top ML conferencesExpertise in scalable realtime systems that process stream dataPassion for applied ML and the Pinterest productRelocation Statement:This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.Information regarding the culture at Pinterest and benefits available for this position can be found here.US based applicants only$129,818—$267,272 USDOur Commitment To InclusionPinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.",Mid-Senior level,"Machine Learning Engineer, Core Engineering"
+653,2025-04-08,,,Morningstar Norway,http://www.morningstar.com/company/,Morningstar er en ledende leverandør av uavhengig investeringsanalyse. Vår målsetning er å lage gode løsninger som skal hjelpe investorer å nå sine finansielle mål.,"About The RoleWe’re looking for a seasoned Machine Learning Engineer to lead the Machine Learning function within the Marketing Intelligence Team at Morningstar. This role will play a critical role by setting the requirements for the ML models, building the data pipelines and flows to power the model, as well as output model data that can be visualized and shared to business leaders. You will have deep technical data engineering skills and vision to build the machine learning road map. You will ensure models align to business goals, and are responsible for refining methodologies, iterating on models, and fine-tuning the model output. You will share out model findings to business stakeholders and tune and monitor models. You will evangelize model findings and feature engineering insights to marketing stakeholders and facilitate opportunities for stakeholders to use model output to deliver stronger business outcomes.To foster continuous collaboration, we follow a hybrid policy of a minimum of 3 days onsite in our Chicago office.ResponsibilitiesBuild, fine-tune, and implement machine learning models to answer challenging business questions Ensure machine learning production pipelines are scalable, repeatable, and cloud agnostic Apply current and emerging techniques in deep learning, AI, and other machine learning areas Collect, clean, manage, analyze, and visualize large sets of data using multiple data platforms, tools, and techniquesOptimize and fine-tune ML models for performance and scalability. Analyze and interpret data to extract meaningful insights and improve ML models Maintain a database of model outputs, which will be used by the rest of the Marketing Intelligence team Integrate ML solutions into Marketing Intelligence workstreams Document and present findings and solutions to leaders and stakeholders RequirementsMaster’s degree preferred, ideally in statistics, finance, mathematics, engineering, analytics, or in a quantitative discipline 7+ years proven experience building data science models and executing data engineering work Extensive experience in machine learning and statistical techniques, including regression, classification, clustering, time series forecasting, text analytics, and causal inference, and scaling end to end solutions Expertise in marketing analytics & experimentation, such as Marketing Mix Modeling (MMM), Attribution Modeling, Lead Score Propensity ModelingProficiency in Python, R, and SQL, with strong scripting capabilities to process and transform data for modeling Strong background in big data processing and engineering using Apache Spark, PySpark, and Airflow, with experience in data lakes and warehousing solutions (Snowflake, Databricks, Redshift, BigQuery) Experience with MLOps and cloud platforms (AWS SageMaker, Bedrock, Google Vertex AI, Azure ML), with a track record of automating machine learning pipelines and building end-to-end ML products Hands-on experience with machine learning libraries, including Scikit-learn, Pandas, NumPy, Matplotlib, SciPy, Seaborn, XGBoostHands-on experience with deep learning frameworks (TensorFlow, PyTorch) Outstanding analytical and problem-solving skills with technical knowledge of setting requirements, working with complex data, and leveraging data stored across multiple data environmentsThe ability to solution alongside team members and thrive in a collaborative environment, and convey complex concepts in a clear and concise manner Compensation And BenefitsAt Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide-range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:Financial Health75% 401k match up to 7%Stock Ownership PotentialCompany provided life insurance - 1x salary + commissionPhysical HealthComprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coveragesAdditional medical Wellness Incentives - up to $300-$600 annualCompany-provided long- and short-term disability insuranceEmotional HealthTrust-Based Time Off6-week Paid Sabbatical Program6-Week Paid Family Caregiving LeaveCompetitive 8-24 Week Paid Parental Bonding LeaveAdoption AssistanceLeadership Coaching & Formal Mentorship OpportunitiesAnnual Education StipendTuition ReimbursementSocial HealthCharitable Matching Gifts programDollars for Doers volunteer programPaid volunteering days15+ Employee Resource & Affinity GroupsBase Salary Compensation Range$79,091.00 - 134,455.00 USD AnnualTotal Cash Compensation Range$87,000.00 - 147,900.00 USD AnnualMorningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, we’ve found that we’re at our best when we’re purposely together on a regular basis, typically three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.001_MstarInc Morningstar Inc. Legal Entity",Entry level,Machine Learning Engineer
+654,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOur team is responsible for designing and optimizing TikTok's content distribution and author growth mechanism to ensure the sustainable development of TikTok's content ecosystem. Our work involves optimizing large-scale recommendation algorithms, solving optimization problems with complex constraints, designing and implementing recommendation architectures for various scenarios, and conducting complex and in-depth analyses of product data. Here, you can drive deeper into the improvement and optimization of machine learning/deep learning algorithms, including but not limited to Mathematics, CV/NLP technology, multi-task learning, multi-modal technology, meta-learning, reinforcement learning, causal inference, metric learning, graph neural networks, active learning, life long learning, etc.Responsibilities - What You'II Do Build industry-leading recommendation system, improving user experience, the content ecosystem and platform security; Deliver end-to-end machine learning solution to address critical product challenges; Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.QualificationsMinimum Qualifications Bachelor degree or above in computer science or a related major, with 2+ years of related work experience; Strong software development experience with C++, Python or other programming language; Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product; Strong communication and teamwork skills; Passion about techniques and solving challenging problems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, TikTok Content Recommendation (Ecosystem & Cold-Start)"
+655,2025-03-14,Newark,CA,Intelliswift - An LTTS Company,https://www.intelliswift.com,"Intelliswift, an LTTS company, is a global leader in Digital Product Engineering, Data & AI, and Digital Enterprise Solutions. We empower businesses to leverage cutting-edge technologies and pioneering strategies throughout their digital transformation journey. Our expertise in data-rich modern platforms and people-centric solutions ensures that companies can navigate and thrive in the digital era. We address critical pain points across a diverse range of industries, including Platform & Technology, Fintech, MedTech, Energy & Utilities, Manufacturing, and Retail. Whether it's optimizing operational efficiency, enhancing customer experiences, or enabling digital transformation, we are committed to providing tailored solutions that meet the unique needs of each industry we serve.
+
+Guided by our core values of Transparency, Respect, Integrity, and Passion, we drive innovation and excellence at every step. As a certified Minority Business Enterprise (MBE), we are deeply committed to diversity, equity, and inclusion (DEI). This commitment is reflected in all our transactions and underscores our dedication to fostering an inclusive environment. Trusted by Fortune 500 companies, SMBs, ISVs, and fast-growing startups, Intelliswift is the partner of choice for organizations seeking to revolutionize and excel in the digital landscape.
+
+Learn more at www.intelliswift.com  
+","Job Title: Algorithm Developer/Machine Learning Engineer Location: Remote USADuration: 9 Months to start with Machine Learning Engineer (Algorithm Developer) must have industry experience working on a range of recommendation, classification, and optimization problems.Must-Have Skills 5+ years of consistent industry-level experience working with Machine Learning Engineer, AI, GenAIExperience with scripting languages such as Python, JavaScript or PHP Experience with developing machine learning models at scale from inception to business impactTrack record of successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesExposure to architectural patterns of large-scale software applicationsExperience with scripting languages such as Pytorch or TensorFlowC++ PreferredResponsibilityAdapt standard machine learning methods leveraging modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based modelsSuggest, collect, and synthesize requirements from teamsCode deliverables in tandem with the engineering teamMinimum Qualifications6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, JavaScript or HackExperience with developing machine learning models at scale from inception to business impactExperience with scripting languages such as Python, PHP, and/or shell scriptsExperience building and shipping high-quality work and achieving high reliabilityTrack record of successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred QualificationsMaster's degree or PhD in Computer Science or another ML-related fieldExposure to architectural patterns of large-scale software applications Experience with scripting languages such as Pytorch and TensorFlowC++ Preferred",Mid-Senior level,Machine Learning Engineer
+656,2025-01-23,Monmouth Junction,NJ,First Soft Solutions LLC,http://www.firstsoftsolutions.net,"When you hire First Soft Solutions, you're hiring a strategic technology consulting partner committed to helping you meet your unique business and technology objectives on time, on budget and with an optimal experience. We apply the expertise of our global community of technology experts, an unmatched portfolio of proven solutions, flexible delivery and a laser focus on the Microsoft enterprise platform to help you increase revenue, reduce costs and reinvest in innovation for competitive advantage. And we bring unique connections with our clients and Microsoft, enhancing our ability to deliver effective mission-critical solutions for organizations across all industries. When selecting an First Soft Solutions solution, you'll receive the best of our thinking and experience. Based on engineered, tested and reusable technology assets, our solutions are proven to help customers streamline operations, create new products and services, optimize collaboration across all groups and boundaries, and serve their customers better.","We are actively hiring for Senior Machine Learning EngineerFull time W2 requirement Minimum 8+ years of experience is neededMinimum of 8 years of experience in machine learning and deep learning (Python, scikit-learn, XGBoost).Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras.Hands-on experience in Natural Language Processing (NLP).Proficiency in software development practices, including Git, PEP-8 standards, and Python advanced programming techniques.",Mid-Senior level,Machine Learning Engineer
+657,2025-03-19,Minneapolis,MN,Target,http://www.target.com/careers,"Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.
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+For more information, visit corporate.target.com.","The pay range is $114,000.00 - $205,000.00Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.JOIN TARGET AS A SR MACHINE LEARNING ENGINEER - DFEAbout UsAs a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, develop talent by creating growth opportunities and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value and how we work. It’s how we care, grow, and win together. Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities.Join our global in-house Tech and Data Sciences team of more than 5,000 software engineers, applied data scientists, ML engineers and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests. We do so with a focus on diversity and inclusion, experimentation and continuous learning.As a Senior Machine Learning Engineer, you will join a Data Sciences team responsible for developing and operating a complex demand forecasting pipeline that delivers business-critical, detailed forecasts to downstream consumers. You will play a crucial role in designing, implementing, and optimizing machine learning solutions in production while ensuring the pipeline’s architecture, automation, testing, and validation. Machine Learning Engineers are expected to understand best-practice software design, participate in code reviews, and create a maintainable and well-tested codebase with relevant documentation. Additionally, candidates will have opportunities to design and develop additional tooling, such as REST APIs or streaming message queues, to deliver data to external consumers. You will also have opportunities to present work to technical and business leaders, conduct training sessions, and contribute learnings back to the organization. You will also build knowledge on business priorities and strategic goals, leveraging this understanding to inform requirements and solutions for each business need.Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.About You4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experienceMS in Computer Science, Data Science, Applied Mathematics, Statistics, Physics or equivalent industry experience3 plus years of experience in end-to-end software development or applied Machine LearningExperience deploying Machine Learning algorithms into production environments (VertexAI)Demonstrated programming experience in Python, Java or RGood understanding of Big Data tech - specifically in PySpark and/or Hadoop ecosystemExperience with CI/CD, various testing frameworks and containerization (Docker, Kubernetes)Ability to collaborate with product managers, data scientists and engineers to understand the business requirements and translate to machine learning solutions at scaleSelf-driven and results oriented - able to meet tight timelinesMotivated team-player with ability to collaborate effectively across global teamExperience in mentoring junior team members in ML skillset and career developmentThis position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target Sunnyvale location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.Benefits EligibilityPlease paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_DAmericans With Disabilities Act (ADA)In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com.Application deadline is : 04/27/2025",Mid-Senior level,"Sr Machine Learning Engineer - Forecasting Engine (Python, PySpark, VertexAI)"
+658,2025-04-04,Redmond,Washington,Microsoft,https://news.microsoft.com/,"Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. 
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+Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.","Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.Are you passionate about the idea of protecting over a billion people and making the world a durably safer place? The Microsoft Security Response Center (MSRC) is on the forefront of protecting the breadth of Microsoft’s customers from emerging threats to security and privacy.     The MSRC Data Science team is responsible in building data pipelines, reporting dashboards, data engineering, Machine Learning (ML) models and insights on security related data. We combine our data science work with business and engineering knowledge to provide unique insights into customer scenarios within Security. We are looking for a hands-on Data and Applied Scientist with experience to build reliable products and make business impact using Data Analysis, Data Engineering, Machine learning, Data Visualization, and more.  We are looking for a Data and Applied Scientist to partner with a wide range of Security leads and PMs, Engineers, and Data Scientists, build and deliver scalable BI and AI solutions. Candidate should be able to build robust BI, ML/AI data pipelines, leverage our data and infrastructure to deliver valuable solutions for our customers.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.ResponsibilitiesModel Development & Deployment:Collaborate with data scientists and engineers to design, build, and deploy machine learning models at scale.Develop and maintain data pipelnes using MLOps/AIOPs pipelines to automate the end-to-end lifecycle of machine learning models (from development to deployment, monitoring, and retraining).Build data pipelines, ETL using Kusto queries and DAX to build leadership level metrics, KPIs, trends and visualizations using Power BI dashboards.Work on the integration of models into production systems while ensuring scalability, security, and performance.Model OperationalizationImplement CI/CD pipelines for ML models, ensuring smooth deployments with minimal downtime.Design and deploy robust monitoring and alerting systems for ML models in production to detect issues such as model drift or data skew.Implement model governance, version control, and logging systems to ensure compliance with internal standards and external regulations.Optimization & Scalability:Optimize machine learning models and pipelines for performance and cost efficiency (compute, storage).Manage infrastructure for ML workloads using cloud-native tools (Azure, Kubernetes, Docker) or other container orchestration platforms.Collaboration & CommunicationPartner with cross-functional teams, including Data Engineering, Product Management, and other Engineering teams to build cohesive solutions.Provide technical guidance to junior engineers and drive best practices for MLOps/AIOPS within the team.Security & Compliance:Work on securing models, data pipelines, and infrastructure in compliance with Microsoft's security standards.Ensure that the entire ML lifecycle adheres to privacy and compliance requirements (e.g., GDPR, CCPA).QualificationsRequired QualificationsBachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldOR equivalent experience. Experience with Azure Data Explorer(Kusto) Azure Machine Learning, Azure Fabric, Synapse, PowerBI or similar platforms.Knowledge of Data Pipelines. Other RequirementsAbility to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.Preferred QualificationsStrong understanding of data versioning, governance, and reproducibility in ML workflows.Knowledge of responsible AI practices, including fairness, transparency, and bias mitigation.Experience in Security domain area is a huge plus.  #LLM #GPT #ML #MachineLearning #AI #NLP #DSR #MSFTSecurity #MSRC  #Security #MSFTSecurity Data Science IC2 - The typical base pay range for this role across the U.S. is USD $81,900 - $160,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $105,600 - $174,600 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-payMicrosoft will accept applications for the role until April 9th, 2025.Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.",Not Applicable,Data and Applied Scientist
+659,2025-03-21,Santa Clara,CA,SeemaS,https://seemas.ai/,"At SeemaS, we’re transforming the corporate tax compliance landscape with our AI-driven platform, designed to simplify and streamline tax management for businesses worldwide. Our innovative solution autonomously handles complex tax compliance tasks, including tax planning, economic analysis, and global documentation. By harnessing the power of artificial intelligence, SeemaS reduces the burden of manual tax compliance, enabling companies to focus on growth and strategy. Whether navigating international tax laws or ensuring regulatory alignment, SeemaS delivers accuracy, transparency, and efficiency at every step. Join us in redefining the future of tax compliance.","About SeemaS, Inc.At SeemaS, we’re transforming the corporate tax compliance landscape with our AI-driven platform, designed to simplify and streamline tax management for businesses worldwide. Our innovative solution autonomously handles complex tax compliance tasks, including tax planning, economic analysis, and global documentation. By harnessing the power of artificial intelligence, SeemaS reduces the burden of manual tax compliance, enabling companies to focus on growth and strategy. Whether navigating international tax laws or ensuring regulatory alignment, SeemaS delivers accuracy, transparency, and efficiency at every step. Key ResponsibilitiesDesign and implement machine learning models to support financial data analysis, including predictive modeling, anomaly detection, and classification tasks.Collaborate with data engineers and software developers to integrate models into scalable production pipelines using AWS cloud services.Preprocess, clean, and structure large financial datasets for modeling and analysis.Optimize model performance and scalability, ensuring that solutions meet business and operational needs.Experiment with different algorithms, feature engineering techniques, and model architectures to improve prediction accuracy and efficiency.Develop robust validation and testing frameworks for models, including continuous integration and deployment pipelines.Monitor, troubleshoot, and fine-tune machine learning models post-deployment to ensure their accuracy and stability.Contribute to the development of new tools and methods to enhance model interpretability, explainability, and fairness.Basic QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related technical field.3+ years of hands-on experience working on machine learning projects, preferably in financial services, fintech, or compliance-related fields.Proficiency in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).Strong understanding of data processing, feature engineering, and model evaluation techniques.Preferred QualificationsExperience deploying ML models in cloud environments (preferably AWS) using services such as SageMaker, Lambda, Fargate, or ECS.Experience with data engineering pipelines, ETL, and large-scale data processing in distributed systems.Experience with NLP techniques for document extraction and financial text analysis.Familiarity with ML Ops practices such as model monitoring, retraining, and continuous deployment.Join Us in Redefining Tax ComplianceAt SeemaS, you’ll work on cutting-edge technologies, solve complex challenges, and contribute to groundbreaking products that redefine financial compliance and management. If you’re ready to take on this exciting journey, we’d love to hear from you!How to Apply Please apply using the following link: https://seemas.bamboohr.com/careers/24?source=aWQ9MTg%3D",,Machine Learning Engineer
+660,2025-04-01,,,"PTC Therapeutics, Inc.",https://ptcbio.com/,"PTC is a patient-centered biopharmaceutical company focused on discovering, developing & commercializing medicine for children and adults living with rare and serious disease.","Job Description SummaryWe are seeking an experienced and innovative Machine Learning Engineer to join our cutting-edge artificial intelligence team. The ideal candidate will be passionate about harnessing the transformative power of artificial intelligence to revolutionize diverse facets of the pharmaceutical industry, including drug discovery and development, clinical trial processes, and commercialization. Your contributions will play a key role in accelerating our mission to bring life-saving treatments to market more efficiently.The Machine Learning Engineer will be responsible for designing, implementing, and maintaining all components and layers of custom AI solutions, including databases, data processing, model development, testing, and front ends, where applicable. The focus of this role is to deliver autonomous solutions that accelerate business initiatives and productivity, while ensuring that the solution is maintainable and built-to-last.The Machine Learning Engineer ensures adherence to all relevant regulatory requirements and Company Standard Operating Procedures (SOPs) as appropriate.Job DescriptionESSENTIAL FUNCTIONSDesign, develop, and maintain machine learning models and algorithms to support company initiatives like enhancing business intelligence, drug development, and automation.Collaborate with interdisciplinary teams, including scientists, researchers, and engineers, to understand domain-specific challenges and integrate AI solutions effectively.Develop robust, scalable software for AI/ML applications in a regulated environment.Keep abreast of the latest AI/ML techniques and advancements.Ensure compliance with data privacy and security regulations.Participate in code reviews and maintain high standards for code quality and documentation.Knowledge/Skills/Abilities Required2+ years of experience in building end-to-end software solutions with hands-on exposure to all aspects of software and data engineering; including databases, data ingestion/processing, model development, and testing.Deep understanding of Python including aspects related to object-oriented programming and best practices / style guides for Python (PEP-8). Experience with PySpark is a plus.Experience with prompt engineering and the use of Large Language Models as a part of cohesive workflows (chain-of-thought, few-shot-prompting, etc.).Experience with common python prompting frameworks and techniques (langchain, sentence transformers, RAG, etc.)Experience with advanced string processing and vectorization algorithms, tools, and techniques (HNSW, semantic reranking, similarity heuristics)Experience working with statistics and large datasets is a plus.Experience with combining multiple frameworks and RESTful APIs is a plus.Excellent problem-solving, communication, and collaboration skills.Ability to translate complex technical concepts to non-technical stakeholders.Experience with version control systems such as Git.Ability to elicit and iterate over requirements with business partners, and to communicate technical concepts to non-technical audiences effectively.Analytical thinker with excellent critical thinking, problem-solving, and troubleshooting skills as well as the ability to adapt to changing priorities and deadlines.Excellent planning, organization, and time management skills including the ability to support and prioritize multiple projects. Minimum level of education and years of relevant work experience.Master’s Degree in Computer Science or related field, with a focus on AI & machine learning.Minimum of 2 years work experience in a role focused on developing AI / software solutions.PreferredExperience with Microsoft Azure and/or developing solutions for the biotech industry. Travel requirements0-10%Hybrid PositionEEO StatementPTC Therapeutics is an equal opportunity employer. We welcome applications from all individuals, regardless of race, color, national origin, gender, age, physical characteristics, social origin, disability, religion, family status, pregnancy, sexual orientation, gender identity, gender expression, disability, veteran status or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.Click here to return to the careers page",Entry level,Machine Learning Engineer
+661,2024-10-25,Wilmington,Delaware,Accroid Inc,https://accroid.com,"Accroid Inc is a nationwide employment and service provider committed to enabling individuals. We firmly believe that everything is possible when we work together, and we continuously seek out opportunities to make a positive difference in the lives of others.
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+At Accroid, doing what is right has always been a top priority for our co-workers, client partners, and communities. We foster an inclusive culture that empowers our staff to deliver their best work. We are not just a high-performing team; we are a supportive and tight-knit family. We genuinely care for one another, fostering strong relationships and upholding our culture's dedication to compassion.
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+Solutions for Your Business, Powered by People:
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+We believe that people are the driving force behind successful businesses. By harnessing the power of technology and leveraging our expertise, we help businesses unlock their full potential, streamline operations, enhance efficiency, and achieve their goals. Our dedicated consultants work hand in hand with your organization to ensure that technology seamlessly aligns with your business objectives, delivering tangible and measurable results.
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+Stay connected with Accroid Inc on LinkedIn for the latest industry insights, updates on our innovative services, and exciting opportunities to collaborate. Together, we can shape a brighter future for individuals and businesses, transforming possibilities into realities.","Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Excellent problem-solving skills and the ability to work in a fast-paced environment.Strong communication skills, with the ability to present complex concepts to non-technical stakeholders.",Mid-Senior level,Senior Machine Learning Engineer
+662,2025-03-11,San Francisco,,Ema Unlimited,https://ema.co/,"Ema is an enterprise partner of choice in building and deploying Agentic AI solutions. We are:
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+›› Simple - Conversationally build AI employees that learn and excel beyond human limits. Multiply your workforce in minutes, not months.
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+›› Trusted - Take control back by replacing 100s of vulnerable co-pilots with Ema’s secure and compliant AI Employees. Ema can be deployed both on-cloud and on-prem, and is compliant with industry-leading standards, including SOC 2 Type I & II, HIPAA, GDPR, ISO 27001, NIST CSF, NIST SP 800-171, and NIST AI RMF. We are also one of the world's only companies to be certified ISO 42001, the world's first AI management system standard.
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+›› Accurate - Achieve the highest accuracy at the lowest costs and latency with Ema’s proprietary 2T+ EmaFusion (TM) model, built for wide-ranging enterprise use-cases. Get the power of 100+ LLMs at your fingertips. 
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+Experience the future of work with Ema, every enterprise’s best performing employee. Hire Ema today.","Who We AreEma is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google).Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. Most of our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology.Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from our Mountain View, CA office three days a week.Who You AreWe're looking for innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact.You WillConceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems.Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.Minimum QualificationsA Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.At least 2 years of industry experience in building and deploying production-level machine learning models.Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.Ideally, You'd HaveExcellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.Familiarity with cloud platforms like GCP or Azure.Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects.Good understanding of software development principles, data structures, and algorithms.Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.The ability to work collaboratively in an extremely fast-paced, startup environment.For California Based CandidatesThe standard base salary for this position is $135,000 to $200,000 annually.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.",Entry level,Machine Learning Engineer
+663,2025-03-08,Austin,TX,Four Hands,www.fourhands.com,"Welcome to Four Hands. For over 25 years, we've been a leading designer and wholesaler of well-crafted furniture and décor, helping people create spaces that feel like home.
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+Founded in Austin in 1996, Four Hands has international offices in China, India, Vietnam, Mexico, Indonesia, and showrooms in High Point, North Carolina, Las Vegas, Nevada, and Austin, Texas. Our team enthusiastically supports the growing needs of large retail chains, as well as independent regional stores and interior designers.  
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+Our pieces are unique to us — the product of careful trendspotting, selected materials and innovative design techniques for an ever-expanding assortment. Our trade customers have 24/7 online access to 6,000 design-forward products, from living and dining room to art, outdoor, accessories, and more.  
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+Receiving numerous recognitions and accolades, including ranking in the Inc. 5000 list 14 times, Four Hands is one of the most dynamic companies in the furniture industry today. We hire the most experienced people in the industry and talented individuals with robust backgrounds to bring a fresh approach to the furniture business. As a team, we actively challenge ourselves on the notion of what’s possible. The only thing we take more seriously than doing great work is having great fun.  
+","Department: Early CareersLocation: Austin, TexasDescriptionJoin one of the fastest growing, most dynamic companies in the furniture industry. For over 25 years, Four Hands has been a leading designer and wholesaler of furniture and décor, helping people create spaces that feel like home.Consistently ranked on the Inc. 5000 list of fastest-growing companies, we've also been voted as one of Austin's Top Workplaces in 2021, 2022, 2023 and 2024 by Austin American-Statesman.We invest in exceptional people — with a team of over 800 and growing — fostering our employees' careers and celebrating them at every step of the way.Headquartered in Austin, Texas, with showrooms in High Point and Las Vegas, we have additional offices in China, India, Indonesia, Mexico and Vietnam.As a Software Engineering Intern, you will work closely with our experienced developers on various projects, gaining hands-on experience in coding, debugging, and software design.This position is expected to start May 2025 and continue through the entire Summer 2025 term (through August 2025). Our internships are a minimum of 10 weeks, part-time and on-site.In This RoleWork closely with the business to identify and implement improvements to our systemsAssist in the integration of data to and from the warehouse management systemContribute to the development, testing, and debugging of software applicationsHelp develop and maintain database objects and structures for efficient data storage, retrieval, and reportingAssist in recommendations for application changes, document software specifications and train usersBe an active team member working both independently and collaboratively with the groupStay updated on software development trends, technologies and toolsetOther duties as assigned by ManagementUphold our Core Values and be a valuable member of the Four Hands team:Be open and honestReach for excellenceAct with responsibilityValue the whole personEnjoy the journeyThe Ideal PersonPursuing a degree in Computer Science, Information Systems, IT business Management or related fieldKnowledge of database queries and Visual Studio or Eclipse is a plusKnowledge of ERP systemsProficiency in one or more programming languagesKnowledge of software development methodologies, object-oriented programming (OOP), and design patternsInternship Program at Four Hands The Internship Program is aimed to provide students with hands-on experience in the area they are most passionate about. Interns at Four Hands have the opportunity to work closely with various departments to gain valuable knowledge about the company. The program focuses on professional development, offering mentorship from like-minded professionals and the chance to contribute to real projects. Interns are encouraged to bring innovative ideas to make the experience challenging and rewarding. This program will enable students to gain the skills and knowledge needed to succeed in their future careers.",Internship,Software Engineer Intern
+664,2025-04-01,Palo Alto,CA,Glean,https://glean-it.com/glean,"Work AI for all. 
+
+The Work AI platform connected to all your data. Find, create, and automate anything.","About GleanWe’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work.We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. We’re a diverse team of curious and creative people who want to help each other get big things done—so we can help other teams do the same.We're backed by some of the Valley's leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.RoleGlean is looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including generative AI, RAG, query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems.What You Will Do And AchieveDesign, build, and improve ML systems and infrastructureWork with and enable other ML engineers focused on modelingWrite robust code that’s easy to read, maintain, and testMentor more junior engineers, or learn from battle-tested onesWho You Are5+ years of experienceBA/BS in computer science, math, sciences, or a related degreeExperience working with ML infrastructure and engineering for search, recommendation, natural language processing, or something similarKey Knowledge And SkillsProven ability to design, build, and ship production-ready software, ideally around ML infrastructure (pipelines, serving, GenAI)Strong coding skills (Python, Go, Java, C++, ...)Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a mustA proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large featuresBenefitsCompetitive compensationMedical, Vision and Dental coverageFlexible work environment and time-off policy401kCompany eventsA home office improvement stipend when you first joinAnnual education stipendWellness stipendHealthy lunches and dinners provided dailyFor California Based ApplicantsThe standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.",Entry level,"Software Engineer, Machine Learning (Infrastructure)"
+665,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our team is responsible for developing state-of-the-art NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform. More specifically, our team is responsible for the algorithms of Product Knowledge Graphs under TikTok's global e-commerce business.What You Will Do: Participate in the development of massive knowledge graphs of real-world products to support feed ranking, recommendations, and ads. Collaborate with product managers, data scientists, and the product strategy & operation team to define product strategies and features.Responsibilities: Knowledge graph construction, including product/content/feedback understanding and category/brand/SPU construction. Construct knowledge graphs of buyers and products.QualificationsMinimum Qualifications: Bachelor's degree in Computer Science or related technical field 3+ working experience in one of the following fields: machine learning, NLP, and computer vision Experience with software development in at least one of the following programming languages: C++, Python, Go, Java Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.Preferred Qualifications: Proficient in using at least one mainstream deep learning frameworks such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods. Experience in text classification, text matching, sequence labeling, knowledge graph. Aware of certain processing methods and optimization experience on domain adaptation, small sample construction, text mining, unsupervised/semi-supervised and other similar issues. Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT, etc.), have practical experience in deep learning training and reasoning model tuning. Experience in large-scale text data processing or cleaning (Such as using Hadoop/Spark/Hive/Flink).TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at dataecommerce.accommodations@tiktok.com.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, NLP - TikTok E-commerce Knowledge Graph"
+666,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Ads Targeting's goal is to help advertisers reach their desired audience and optimize advertisement performance. As a member of the Ads Targeting, Ads Core team, you will apply machine learning models to scale budgets by understanding user interest and intention, and build large-scale foundations for data processing and serving for next-generation ad targeting products. This team is working on a variety of products such as custom audience, interest, behavior, lookalike, auto targeting etc., as well as new innovative features.We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.What You'll Do Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the Tiktok ads monetization ecosystem. Build scalable platforms and pipelines for ads targeting products. Work with product and business teams on the product vision.QualificationsMinimum Qualifications: BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with related experience. Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods. Strong coding skills, especially in Python/C++/Go. Experience with high-load systems. Familiarity with online experimentation and analytics. Familiarity with big data systems including Hadoop and Spark. Curiosity towards new technologies and entrepreneurship.Preferred Qualifications Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus. Understanding of the business value of online advertising. Experience with user modeling using deep learning methods from large scale datasets. Experience with privacy preserving modeling techniques is a plus. Experience in developing modern ads ranking/retrieval/targeting systems and recommender systems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Ads Targeting"
+667,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technologyPreferred Qualifications 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2917619",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center - Model Customization"
+668,2025-03-26,Mumbai,Maharashtra,Tata Consultancy Services,https://www.tcs.com/,"Tata Consultancy Services (TCS) is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys since its inception in 1968. Our consulting-led, innovation-driven services help businesses evolve as perpetually adaptive enterprises, staying ahead in an ever-changing digital landscape. Recognized for excellence in software development, we rapidly apply and scale new technologies, driving long-term value and scalable transformation. Many of these relationships have endured for decades, navigating every technology cycle from mainframes in the 1970s to Artificial Intelligence today.
+ 
+A part of the Tata Group, India’s largest multinational business group, TCS has a highly skilled workforce of over 607,000 consultants in 55 countries and 180 service delivery centers across the world.
+ 
+Caution against fraudulent job offers: TCS doesn’t charge any fee throughout the recruitment process. Refer here: https://www.tcs.com/careers/india/recruitment-fraud-alert","We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/ML.Candidate must have strong NLP exp. Automate end-to-end ETL/ML pipelines with structural understanding of data products. Automate, deploy and maintain ML pipelines into existing cloud resources. Work with team members to assist with data-related technical issues and support their data product needs. Work with team members to evaluate and improve existing ML system and models.Required Skills A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience Strong Python/Java programming skills Experience in implementing data pipelines using python Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or Oozie Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies Experience with query APIs using JSON, ProtocolBuffers, or XML Experience with Unix-based command line interface and Bash scriptsOptional Skills Experience with computer vision or natural language processing a plus. Database development experience with Relational or MPP/distributed s ystems such as Oracle/Teradata/Vertica/Hive a plus Data visualization or web development skills a plusSalary Range : $63,400-$137,000 a year",Entry level,Machine Learning Engineer
+669,2025-03-07,San Francisco,CA,Instacart,https://www.instacart.com,"Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop. The company partners with more than 1,500 national, regional, and local retail banners to facilitate online shopping, delivery and pickup services from more than 85,000 stores across North America on the Instacart Marketplace. Instacart makes it possible for millions of people to get the groceries they need from the retailers they love, and for approximately 600,000 Instacart shoppers to earn by picking, packing and delivering orders on their own flexible schedule. The Instacart Platform offers retailers a suite of enterprise-grade technology products and services to power their e-commerce experiences, fulfill orders, digitize brick-and-mortar stores, provide advertising services, and glean insights. With Instacart Ads, thousands of CPG brands – from category leaders to emerging brands – partner with the company to connect directly with consumers online, right at the point of purchase. With Instacart Health, the company is providing tools to increase nutrition security, make healthy choices easier for consumers, and expand the role that food can play in improving health outcomes. For more information, visit www.instacart.com/company. ","We're transforming the grocery industryAt Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.OverviewSince 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.About The TeamThis is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:Search & Discovery ML: The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).Economics team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.Content AI Team: The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you'll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you're excited about building state-of-the-art AI systems, we’d love to have you on board!Past Internship Contributions IncludeTensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper)Enhancing sequence-based recommendations for long-tail products (Blog)About The JobBased on your passion and background, you may choose to work in a few different areas:Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.Search relevance and ranking - Improving search relevance by incorporating signals from various sources.Ads quality, pCTR, etc. - Improving ads revenue and ROAS.Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.Fraud detection and prevention - Using cost sensitive learning to reduce loss.Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.About YouMinimum Qualifications:Ph.D. student in computer science, mathematics, statistics, economics, or related areas.Strong programming (Python, C++) and algorithmic skills.Good communication skills. Curious, willing to learn, self-motivated, hands-on.Preferred QualificationsPh.D. student at a top tier university in the United States Prior internship/work experience in the machine learning spaceInstacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.Offers may vary based on many factors, such as candidate experience and skills required for the role. Please read more about our benefits offerings here.For US based candidates, the base pay ranges for a successful candidate are listed below.CA, NY, CT, NJ$50—$50 USDWA$47.50—$47.50 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$45—$45 USDAll other states$42—$42 USD",Internship,"Machine Learning Engineer, PhD Intern"
+670,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications Experience programming with at least one software programming language 3+ years of non-internship professional software development experience Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Hands-on experience with generative AI technologyPreferred Qualifications Bachelor's degree in computer science or equivalent Hands-on experience with at least one ML library or framework 1+ years of experience in developing, deploying or optimizing ML models. 2+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2918741",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center"
+671,2025-02-25,Munich,Bavaria,XPENG Deutschland,https://www.xpeng.com/de,"XPENG is a leading electric vehicle company headquartered in Guangzhou, China with offices in the US and Europe. The company is committed to driving the transformation of smart EVs through technology and shaping the mobility experience of the future. To optimize the mobility experience of its customers, XPENG develops in-house comprehensive technology for advanced driver assistance systems and in-vehicle intelligent operation system, as well as the core systems of the vehicle, including the powertrain and electric/electronic architecture.","XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.We are looking for a full-time Machine Learning Engineer, with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure for training very large foundation model and accelerating model training/inference.Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.Job ResponsibilitiesDesign, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles. Minimum Skill RequirementsMaster in CS/CE/EE, or equivalent, with 1-3 years of industry experience. Good knowledge of PyTorch. Knowledge of model training framework (e.g. PyTorch Lightning) Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models. Experience of using pytorch ddp for distributed training of models. Preferred Skill RequirementsStrong publications records in top academic conferences or journals, e.g. CVPR, NeurIPS, ICML, ICCV, ECCV, ICLR Experience in training large scale vision or language models Previous experience in the autonomous driving industry. Being efficiently in solving complex problems collaboratively on larger teams What Do We ProvideA fun, supportive and engaging environment Infrastructures and computational resources to support your work. Opportunity to work on cutting edge technologies with the top talents in the field. Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving Competitive compensation package Snacks, lunches, dinners, and fun activities The base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.",Entry level,Machine Learning Engineer - Foundation Model
+672,2025-04-03,San Jose,CA,Zoom,www.zoom.com,"Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom AI-first work platform you know and love. 💙
+
+Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, Contact Center and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.
+
+We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you'll find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
+
+Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home","Machine Learning EngineerWhat You Can ExpectAs a Machine Learning Engineer on our GenAI Engineering team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. You'll take the lead in developing and enhancing AI algorithms, techniques, and solutions for our AI Companion product. Working closely with experienced researchers and engineers, you'll be part of a dynamic team dedicated to achieving groundbreaking results.About The TeamThe GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion functionalities. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.ResponsibilitiesDesigning, implementing, and optimizing GenAI algorithms, techniques, and solutions to address complex business challenges.Collaborating with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.Participating in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.Identifying opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.Staying up-to-date with the newest developments in GenAI research and engineering to continuously improve our technical capabilities.What We’re Looking ForPossess a degree in Computer Science, AI, Machine Learning, Distributed Systems, or a related field.Be proficient in one or more programming languages such as Python, C, C++, or CUDA, with experience in building scalable software systems.Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities.Able to effectively collaborate with cross-functional teams and present technical concepts to both technical and non-technical audiences.MinimumSalary Range or On Target Earnings:$127 700,00Maximum$255 400,00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.We also have a location based compensation structure; there may be a different range for candidates in this and other locationsAt Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!Anticipated Position Close Date05/01/25Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.Our Commitment We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.",Not Applicable,Machine Learning Engineer - AIC Core
+673,2025-03-25,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
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+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAmazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Amazon's Sponsored Products advertising business is one of the fastest growing areas in the company. The Ads Response Prediction team owns multiple critical services and applications that empowers personalized Ads recommendations in Sponsored Products. We apply state-of-the-art deep learning and LLM based methods on Click-through-rate (CTR) prediction, with a mission of improving both shopper and advertiser experiences. By developing and using real-time shopper understanding signals, deep product embeddings and LLM-based insights, we provide personalization power for the entire Ads business within Amazon.As a Software Development Engineer in Machine Learning in this team, you will drive the technical direction of our offerings and solutions, working with many different technologies across the sponsored products organization. You will design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems. You will work closely with applied scientists to optimize the performance of CTR prediction models and infrastructure, and implement end-to-end solutions. What you create is also what you own.The business and technical challenges are significant. Fortunately, we have a broad mandate to experiment and innovate, and a seemingly endless range of new opportunities to build a big, sustainable business that helps Amazon continuously delight our customers.We're looking for curious and customer-obsessed software engineers who can help us take our products to the next level. We embrace leaders with a startup mentality — those who seek a disruptive yet clear mission and purpose, have an unambiguous owner's mindset, and are relentlessly obsessed with delivering amazing products.You'll own significant products and features from design through launch, and will work with product managers, scientists and other engineers to make your efforts successful. If this sounds like your sort of challenge, come and join our team.Key job responsibilitiesYou AreHighly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.Team obsessed: You help grow your team members to achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results.Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team.Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customersYou WillOwn technical vision and direction: You identify problems and develop MLOps solutions; you embrace performance metrics and dive deep into business and data to drive innovation in Ads CTR prediction.Build and grow your team: You'll be a key contributor on an engineering team that delivers results. This means you'll wear a lot of hats -- from software design, implementation, project management, operations, working with business partners, and so on. You'll be an example of Amazon's leadership principles and work to grow more leaders within your group.Collaborate on product direction: You’ll build and maintain strong relationships between engineering and science to ensure that we're focused on delivering the right product for customers.Lead beyond your team: You will be a key part of a small but growing community of engineering leaders who support their teams and contribute to the overall growth of our product development organization. You'll share your experience and technical acumen in order to drive technology decisions across our organization.Own your own shop: Our products reach hundreds of millions of customers around the world. We run operations 24x7x365 and the services your team delivers must meet high standards for operational excellence. Our teams own and operate the systems we build.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Experience in machine learning, data mining, information retrieval, statistics or natural language processingAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLC - A57Job ID: A2916391",Mid-Senior level,"Software Development Engineer - Machine Learning, Ad Response Prediction"
+674,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAbout UsTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.About The TeamThe Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world. Our mission is to build a world where ""there is no hard-to-sell good-priced product in the world"".Responsibilities - What You'Il Do Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales. Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. Promote the healthy development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.Qualifications Industry work experience in machine learning. Good product sense with a focus on user experience. Bachelor or advanced degree in computer science or a related technical discipline. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at rd.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - Search E-commerce (San Jose)
+675,2025-04-02,San Jose,CA,Cisco,http://www.cisco.com,"Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience.  With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. ","The application window has been extended and is expected to close on April 15, 2025. The job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.This role is remote with strong preference for candidates with proximity to: Atlanta GA, Raleigh NC, Washington DC / Fulton MD, Boston MA, Ann Arbor MI, Austin TX, San Jose CA; or US remote.Meet the TeamThe Cisco threat detection and response engineering team is looking for a strong and collaborative Software Engineer with energy and passion in the security space. You'll be a key player in our engineering efforts to build and grow a cloud-based product that offers supplemental security with MS365 and protects end users from phishing, malware and unwanted spam. You will develop solutions and tests for product features and integrations with a focus on simplicity, ease of use, and overall delight. You will utilize your skills to maximize the value of our product through quality so that we can continuously create, develop, and deliver the best outcomes for our customers.Your ImpactAs a Software Engineer, you will be a core member of a team composed of highly skilled individuals who are comfortable working in dynamic and technically sophisticated environments. This product team is a small, highly performant group that has built this solution from the ground up and continues to grow the product through regular releases. The team is involved in all stages of product life cycle from conception to development, go-to-market, and ongoing support of our customers.You are a self-motivated, focused and engaged individual who enjoys collaborating in a team-based environment. You want to get to the bottom of things, understand what’s going on, and build products that make a difference and leave a lasting impression. You are someone who doesn’t give up easily when faced with complex problems and has a strong overall attention for detail.Minimum QualificationsA bachelor's degree in Computer Science, Computer Engineering, or related field of study, with at least 1-year front end web development experience and a total of at least 3 years software development experienceExperience with JavaScript, including experience with modern libraries such as ReactCSS/SASS and HTML experience, along with prior experience converting design mockups into production-ready codeExperience ensuring code quality with modular, testable code using related tools like Jest, ESLint, or SonarQube Prior experience in building responsive Single Page Applications (SPAs) and integrating with RESTful APIsPreferred Qualifications Strong experience with Redux and Next.js Familiarity with fundamental design principles and best practices in user experience (UX) Experience with DevOps practices, including Continuous Integration/Continuous Deployment (CI/CD) and Infrastructure as Code Proven experience working in small, highly skilled teams that follow Agile/Scrum methodologies and experience collaborating cross-functionally with product and design teamsFamiliarity with secure coding practices and standardsA commitment to continuous learning and staying current with the latest technology trendsPassion for attention to detail#WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!",Not Applicable,Software Engineer - Front End
+676,2025-04-01,San Mateo,California,Stash Hotel Rewards,https://www.stashrewards.com/travel/?utm_source=stash&utm_medium=social&utm_campaign=linkedin,"Stash Hotel Rewards (Stash) is the top-rated points-based loyalty program for independent hotels. Members can earn and redeem points for free nights at unique, independently-run hotels across the US, Canada, Mexico, and the Caribbean. Stash makes it easy for inspired travelers to break free from big, bland hotel chains and stay where they really want.
+
+Stash was founded on a belief in the happiness-producing power of traveling to places that convey a unique and interesting story – places with soul. It’s a belief shared with the independent hoteliers and the independently-minded travelers the company was created to serve. 
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+Stash offers a collection of one-of-a-kind independent hotels – from distinctive business-class properties to landmark historic inns to top-rated resorts – in top travel destinations across the country. Recognized for their remarkable design, comfort, and service, many of the properties appear on the Best Hotels lists of the leading travel publications and have received some of the highest recommend ratings on popular travel sites.","About Stash Hotel RewardsWe’re a small company with a big mission: to bring independent travelers and independent hotels together. That’s why Stash Hotel Rewards was born.We’re in the travel business, so travel is one of our perks. Stash employees can stay at some of the best independent hotels for next to nothing. Which is easy to do, since we have no set vacation policy. We hire responsible people who get the job done on time, so we don’t need to watch over them. Our environment is casual and flexible — you’ll find us working from homes, coffee shops, and satellite offices. Our comprehensive benefits include a competitive salary, health and disability insurance, and a 401(k) plan.We need people who are autonomous, creative, super-smart, and fearless. And let’s not forget nice.OpeningTitle: Software Engineer - Front EndLocation: RemoteEmployment type: Full-timeOverviewStash Rewards is a leading loyalty program for independent hotels, offering travelers the opportunity to earn and redeem points at over 300 unique, highly-rated hotels across North America. Our program and services allow independent hotels to compete with large chains, reward their loyal guests, and promote direct booking practices. We are committed to delivering exceptional experiences to both our end-users and hotel partners through innovative and user-friendly technology solutions.ResponsibilitiesTechnology has always been integral to our company and this role, like all team members, plays a crucial role in our company’s development and future growth. You’re a super-smart, innovative front end software engineer who will help us execute Stash’s product vision. You will work closely with Stash Hotel Rewards team members to build smart solutions for independent hotels, Stash Members, and your colleagues.You will be responsible for developing and maintaining several Stash Rewards platforms, primarily contributing to user-facing interfaces. Stash is a collaborative workplace, so we are looking for a candidate who is excited to both apply their expertise to improving our front-end code base and provide constructive input and direction as we consider how future frontend features will look and function.In This Role, You WillDevelop and maintain the front end of Stash Hotel Rewards. As we overhaul and modernize our primary B2C site, which runs on a Rails monolith, you will help us decouple frontend and backend services to be more flexible and open to UI/UX improvements and future mobile app development.Enhance and support our partner portal, providing partner hotels access to educational materials, program tools, and data insights.Optimize tools for partner hotels to share Stash with their guests through digital channels, including our “inline enrollment” feature and “book direct” widgets.Work with members of our Marketing, Member Support, and Partner Advocate teams to review, plan, and implement future UI / UX and functional enhancements.Skills And RequirementsThe ideal candidate:3+ years of frontend development experience with proficiency in JavaScript, React, jQuery, and Bootstrap. Experience with Ruby on Rails development and component libraries like Telerik is a plusStrong understanding of responsive design, web standards, and cross-browser compatibilityExpertise working with frontend frameworks incl: familiarity with API integration and front-end architecture best practicesExperience developing consumer-facing applications within the travel / hospitality industry is a plusKnack for getting things done without sacrificing qualityStrong experience with agile software development techniques, developer driven testing, and highly automated test environmentsInquisitive, self-starting, and efficientExceptional problem-solving skills and an inclination to tap into the broader technology community to leverage existing solutions when applicableA business mind-set and team orientationBachelor’s degreeCompensation: From $95,000 to $130,000 per year",Mid-Senior level,Software Engineer - Front End
+677,2025-04-04,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways.We’re looking for a Data Scientist to join Snap Inc.What you’ll do:Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisionsDrive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'Collaborate with product managers, engineers, product marketers, and designersKnowledge, Skills & Abilities:Expertise using data modeling skills to identify key product trends and new product opportunitiesAbility to design implement, and track core metrics to analyze the performance of our productsAbility to create visuals, dashboards, and reports to effectively communicate your insightsAbility to collaborate with engineers, product managers, and other cross-functional teamsAbility to initiate and drive projects to completion with minimal guidanceAn understanding of Snapchat with great product sense and product understandingMinimum Qualifications:BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience1+ years of experience in quantitative analysis & data science or a related fieldPreferred Qualifications:1+ years of experience using SQL or similar big data querying languages1+ years of experience with programming language, such as Python or R1+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniquesAdvanced degree in applied mathematics, statistics, actuarial science, economics or related fieldExperience in a product-focused role at a social media, online advertising, digital media and/or mobile technology companyExperience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research. If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $118,000-$176,000 annually.Zone B:The base salary range for this position is $112,000-$167,000 annually.Zone C:The base salary range for this position is $100,000-$150,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Data Scientist, 1+ Years of Experience"
+678,2025-03-24,Overland Park,Kansas,Ad Astra,http://www.aais.com,"Ad Astra is the trusted partner of 500+ colleges, universities, and systems committed to graduating more students faster. Through data-informed planning and course scheduling, we empower institutions to remove barriers to completion while also ensuring financial sustainability. 
+","Competitive Compensation & Benefits Package * 401(k) with Profit Sharing * Flexible Time Off * Office Dog!! ABOUT USBy combining our unparalleled domain expertise with leading-edge technology, Ad Astra is helping higher education in its mission to advance timely student completions. We are building a cloud-based software platform that will provide the foundation for our next generation of industry-leading solutions and analytics. Simply put, we're helping students graduate faster. OUR CORE VALUESWe recognize talent. We recognize and appreciate the unique God-given talents that our people bring to Ad Astra. Aligning these individual gifts with our work sets team members up to succeed.We’re unpretentious. There’s no room for ego. We admit our imperfections and have the humility to know what we don’t know.We’re passionate. We aren’t satisfied with the status quo. We’re on a mission together to protect the value of degree completion and to transform the higher education industry.We’re pioneering. We’re pioneering and aren’t afraid of failing—in fact, we celebrate it. We love it when our people boldly experiment with innovative solutions.We love fun. The health of our relationships is strengthened by working with people who stretch our thinking—and by enjoying the lighter side of life together. We don’t take ourselves too seriously, but we do take fun seriously.We have grit. Beyond talent and intelligence, our people have stick-to-itiveness. We push through challenges to make goals a reality.POSITION SUMMARYThe Machine Learning (ML) Engineer operates as a key member of all phases of our Agile Software Development Lifecycle under limited direction. They deliver value to our customers by designing, developing, and implementing software solutions with a focus on data science. They collaborate with cross-functional teams to translate requirements into high-quality solutions and maintain the quality of our software over time with regular maintenance.ESSENTIAL FUNCTIONS/CORE RESPONSIBILITIESDeliver high-quality software quicklyLeverage data science knowledge to enhance our software solutions where appropriateImprove our data science literacy by taking opportunities to teach others when the opportunity arisesCollaborate with product managers to plan and build solutions that provide value for our customersConduct thorough testing of software to ensure reliability, security, and robustness individually and in collaboration with quality engineersTroubleshoot, debug, and resolve issues in existing software applicationsMaintain the quality of our software with regular maintenance including bug fixes, dependency updates and keeping old solutions up to date with best practicesSees needs within the system that requires attention/action and makes iterative improvements on those needs in service of current work without waiting for a directive or permission to do soOther duties as assigned POSITION REQUIREMENTSBachelor's Degree, preferably with a Data Science major or emphasis (or equivalent experience)Typically, 2+ years relevant experienceExcellent verbal and communication skillsExceptional time management skillsContent to operate in a ""pull"" based system (rather than waiting to have work pushed to you)ESSENTIAL COMPETENCIESSense of UrgencyProblem SolvingCollaborative CommunicationDecision Making and JudgmentSelf-ManagementEmergent ThinkingTechnical AptitudeAd Astra Information Systems, LLC. is an equal opportunity employer and values diversity. All employment decisions are based on qualifications, merit, and business need.This is an in-office position based in Overland Park, KS. Ad Astra does not provide relocation expenses.Ad Astra does not generally provide sponsorship for employment.",Mid-Senior level,Machine Learning Engineer
+679,2025-03-18,London,England,Hamlyn Williams,https://www.hamlynwilliams.com,"Placing Talent that Makes A Difference. 
+
+Talent attraction and retention are critical to our client’s success; Hamlyn Williams’ mission is to support and enable this through the delivery of high-quality staffing solutions.
+
+Founded in 2011, we are a global organisation with local offices across North America and Europe, and over 160 colleagues. We cover the Financial Services, Cyber Security, Professional Services, Technology, Life Sciences and Manufacturing industries. 
+
+Our people are ambitious, we persevere for our customers success, and work with pride. We are investing in our people strategy and have recently relaunched the Hamlyn Williams way (HW way) and Career Pathway, your route to success. There has never been a better time to join Hamlyn Williams. 
+
+Visit www.hamlynwilliams.com for more information.","Our client, a biochemistry research company, is looking to add innovative contributors who share our commitment to fostering a stimulating, positive, and collaborative work environment. Responsibilities could include, for example, optimizing ML models and data; developing/troubleshooting pipelines for ML model training/deployment; and installing/upgrading ML software/libraries. Ideal candidates will have: Strong practical knowledge of Linux systems, including experience working with GPU clusters and fluent knowledge of Linux/UNIX tools; Experience with ML/AI frameworks such as PyTorch and related libraries; Familiarity with large-installation systems administration, high performance data-parallel computing, and data management; Strong Python programming ability. Knowledge of C++ would be preferred but is not required. Specific knowledge of and level of experience in any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement. Candidates should have excellent communication skills, and we will consider candidates at all levels of experience.",Mid-Senior level,Machine Learning DevOps Engineer
+680,2025-03-27,Falls Church,Virginia,General Dynamics Information Technology,https://www.gdit.com,"GDIT is a global technology and professional services company that delivers solutions, technology and mission services to every major agency across the U.S. government, defense and intelligence community.
+
+Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. 
+
+GDIT is part of General Dynamics, a global aerospace and defense company. We have shared our clients’ sense of purpose for over half a century and have a have a unique understanding of their missions, complex environments, and a rapidly changing world. 
+
+Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. ","Job Description:Type of Requisition:RegularClearance Level Must Currently Possess:NoneClearance Level Must Be Able To Obtain:NonePublic Trust/Other Required:NoneJob Family:CloudSkills:Job Qualifications:Agile Methodology, C++ Programming Language, Cloud Development, Python (Programming Language), Software Product Life CycleCertifications:Certified Kubernetes Application Developerr - Cloud Native Computing Foundations, Red Hat Certified Specialist in Ansible Automation - Red HatExperience:10 + years of related experienceUS Citizenship Required:YesJob Description:GDIT is seeking a Cloud Software Engineer to join our team to ensure program delivery is on schedule with technical delivery of a large Cloud Services government contract in Reston, VA.As a Cloud Software Engineer, you will help our customer with their cloud software development projects.HOW A CLOUD SOFTWARE ENGINEER WILL MAKE AN IMPACT:Develop Frontends and Backends for Customer Cloud Fleet Management greenfield projectsWork extensively with customer engineering and cloud engineering teams to survey existing pain points on customer products and propose solutions & improvementsParticipate in and lead architecture and engineering designs with peers and stakeholders, and exercise technical judgment (e.g., deciding between available technologies)Review code and provide feedback to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency)WHAT YOU’LL NEED TO SUCCEED - REQUIRED:Citizenship: US CitizenCertifications: Certified Kubernetes Application Developer (CKAD) Certification or demonstrate equivalent practical Kubernetes experienceCertified Ansible Enterprise Automation (EX467) or demonstrate equivalent practical Ansible experienceEducation: Bachelors Degree in Computer Science/Engineering or related discipline or equivalent practical work experienceExperience:10+ years of experience with software development in one or more programming languages (e.g. C++, Go, Python)5 years of experience with software design, architecture, and software product lifecycle management (testing/launching software)Experience with both Kubernetes and Ansible toolsSkills & Abilities: Excellent communication and interpersonal skills, with the ability to work effectively in a fast-paced, collaborative environment.Strong analytical and critical-thinking skills to asses complex technical challenges and develop scalable, efficient solutionsAbility to present technical designs/updates to leadership, customers, and cross-functional teams.Ability to consult with customers to understand their business objectives, technical challenges, and development needsLocation: Reston, VA - onsite at customer locationDESIRED SKILLS:Hands-on experience in developing software for large scale systemsExperience in Google Cloud, AWS, or AzureProficiency in Google Workspace and related toolsGDIT IS YOUR PLACE:401K with company matchComprehensive health and wellness packagesInternal mobility team dedicated to helping you own your careerProfessional growth opportunities including paid education and certificationsCutting-edge technology you can learn fromRest and recharge with paid vacation and holidays#GDITcareers#OpportunityOwned#WeAreGDIT#transitioningmilitary#clearedjobs#veteransThe likely salary range for this position is $139,984 - $178,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Scheduled Weekly Hours:40Travel Required:10-25%Telecommuting Options:OnsiteWork Location:USA VA RestonAdditional Work Locations:Total Rewards At GDIT:Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans",Entry level,Cloud Software Engineer
+681,2025-04-08,Centennial ,CO,Beehive Industries,https://www.beehive-industries.com/,"The future of American security demands a production revolution. How we design, develop, and deliver military assets must radically change to meet the increasing needs of our country's defense.
+
+Among those building the arsenal of tomorrow, we are the ones who build the engines. Beehive Industries is proud to power American defense through additively enabled jet propulsion systems.
+
+For more information, visit beehive-industries.com. ","Beehive Industries is dedicated to Powering American Defense by revolutionizing the design, development, and delivery of jet propulsion systems to support the warfighter. Through the integration of additive manufacturing, the company aims to meet the growing and urgent needs for unmanned aerial defense by dramatically improving a jet engine’s speed to market, fuel efficiency, and cost.Founded in 2020, the company is headquartered in Englewood, Colorado, with additional facilities in Knoxville, Tennessee, Loveland Ohio, and Mount Vernon, Ohio. Beehive is committed to grow and advance the defense industrial base while manufacturing exclusively in the USA. This role can be remote.Job OverviewWe are seeking a highly skilled Machine Learning Engineer with expertise in Large Language Models (LLMs) related to aerospace applications. The ideal candidate will design, develop, and deploy LLMs that enhance the performance, diagnostics, and overall development phase of jet engines used in uncrewed applications. This role requires deep knowledge of AI, natural language processing (NLP), and aerospace engineering principles.Key ResponsibilitiesDevelop and fine-tune LLMs to optimize the jet engine development phase including performance assessments, analysis, and test.Integrate AI models within the Digital Engineering thread at Beehive Ind.Responsible for researching, benchmarking, and recommending machine learning models for internal consumption. Utilize natural language processing (NLP) through the development and test phases of a program.Collaborate with aerospace engineers, data scientists, and software developers to deploy AI-driven solutions.Design and implement machine learning pipelines for processing aerospace data. Create learning models to interface with / learn from computational fluid dynamics (CFD), aerodynamic analysis, finite element analysis (FEA), and CAD software as examples (i.e. mathematical, physics and thermodynamic based learning models and systems). Research and apply state-of-the-art AI/ML methodologies to improve the propulsion systems, products, and development process.Ensure model robustness, interpretability, and compliance with applicable regulations. Partner with IT infrastructure team pertaining to security and deployment. Train AI to provide technical support to the engineering team such as generating engineering reports, creating feasibility studies, etc.QualificationsMaster’s or Ph.D. in Computer Science, Machine Learning, or a related field.Strong experience with Large Language Models (e.g., GPT, LLaMA, BERT) and NLP techniques.Proficiency in Python, Java, TensorFlow, PyTorch, or other deep learning frameworks.Background in aerospace systems, jet engines, or related disciplines is highly desirable.Experience with high-performance computing, data engineering, and/or cloud-based ML deployment.Knowledge of reinforcement learning, time-series analysis, and physics-informed machine learning models.Experience with data security best practices, protecting company IP, etc. within the AI systems Ability to work in a cross-disciplinary environment with engineers and data scientists.Strong communication skills to teach others about AI, and deploy across the business. Experiencing working on programs for the Department of Defense. If this sounds like you, please submit an application with your resume. This could be the opportunity you are looking for to expand your skills, contribute to a winning team, and work with talented people who love what they do and take pride in our mission.Beehive Industries offers a comprehensive benefits package that includes group Medical, Dental, Life, and Short and Long-Term disability coverage from day one. We also offer a generous 401(k) Retirement Savings Plan with a Company match. Every role at Beehive Industries is bonus eligible, and will also receive equity in the company.Beehive Industries is committed to full compliance with applicable anti-discrimination laws. We are an equal opportunity employer and value diversity at our company. We strive to create an inclusive work environment and will not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.",Mid-Senior level,Machine Learning Engineer
+682,2024-12-11,San Francisco,California,sync.,https://synclabs.so/,"We’re a team of artists, engineers, and researchers building controllable AI video editing tools to unbound human creative potential.
+
+Our research team builds AI video models to understand and affect fine-grained, controllable edits on any human in any video. Our product team makes these models accessible to everyone from everyday people, professional editors and animators, developers, and businesses large or small to reach new audiences and tell outstanding stories.
+
+Our technology is used to automate lip-dubbing in localization processes in entertainment, create dynamic marketing campaigns personalized to individuals or communities, animate new characters to life in minutes instead of days, fix mistakes in post-production by making word-level edits to avoid rerecording entire scenes, and more – this is just the beginning.
+
+In the last 12 months we graduated at the top of our YC batch (W24), raised a $5.5M seed backed by GV, won the AI grant from Nat Friedman and Daniel Gross, scaled to millions in revenue – and we're only just getting started.
+
+For more information, visit https://synclabs.so/","About Sync.sync. is a team of artists, engineers, and scientists building foundation models to edit and modify people in video. Founded by the creators of Wav2lip and backed by legendary investors, including YC, Google, and visionaries Nat Friedman and Daniel Gross, we've raised 6 million dollars in our seed round to evolve how we create and consume media.Within months of launch our flagship lipsync API scaled to millions in revenue and powers video translation, dubbing, and dialogue replacement workflows for thousands of editors, developers, and businesses around the world.That's only the beginning, we're building a creative suite to give anyone Photoshop-like control over humans video – zero-shot understanding and fine-grained editing of expressions, gestures, movement, identity, and more.Everyone has a story to tell, but not everyone's a storyteller – yet. We're looking for talented and driven individuals from all backgrounds to build inspired tools that amplify human creativity.About The RoleWe're seeking an exceptional ML Engineer to expand the boundaries of what's possible with AI video editing. You'll work with the creators of Wav2lip to build and extend computer vision pipelines giving users unprecedented control over humans in video.What You'll Do Create novel CV features that unlock new forms of video manipulation Build ML pipelines that understand and modify humans in video Transform research breakthroughs into production capabilities Design systems that make complex AI feel like magic to users Pioneer new approaches to fine-grained video controlWhat You'll Need 5+ years implementing computer vision and ML systems that users love Deep expertise in PyTorch and video processing pipelines Track record of shipping novel ML features from concept to production Ability to bridge cutting-edge research with practical applications Strong collaboration skills across research and engineering teamsPreferred Qualifications Experience with face/human detection and tracking Background in generative AI or video understanding History working with large-scale video datasets Open source contributions to CV/ML projectsOur goal is to keep the team lean, hungry, and shipping fast.These are the qualities we embody and look for:[1] Raw intelligence: we tackle complex problems and push the boundaries of what's possible.[2] Boundless curiosity: we're always learning, exploring new technologies, and questioning assumptions.[3] Exceptional resolve: we persevere through challenges and never lose sight of our goals.[4] High agency: we take ownership of our work and drive initiatives forward autonomously.[5] Outlier hustle: we work smart and hard, going above and beyond to achieve extraordinary results.[6] Obsessively data-driven: we base our decisions on solid data and measurable outcomes.[7] Radical candor: we communicate openly and honestly, providing direct feedback to help each other grow.Compensation Range: ₹1M - ₹10M",Mid-Senior level,Machine Learning Engineer
+683,2025-04-06,San Francisco,California,Replo,https://www.replo.app/?utm_source=linkedin&utm_medium=profilelink&utm_campaign=mainprofile,Sell more on the internet with Replo https://replo.app,"About The RoleHiring a new grad full-stack engineer to join our team and focus on shipping products. We are only looking for folks graduating December 2024!Things you'll be working onArchitecting and implementing full-stack product features in Typescript/React/Node is the core of what you’ll be doing. Real examples include —Build our AI tools for our end-customers to generate new Replo content.Build our analytics and experimentation products end-to-end.Build our payments/billing infrastructure to manage different customer use-cases.Own our multiplayer editor end-to-end, deep dive into CRDT, React-performance.Own our user onboarding flow from end-to-end.Looking For Someone WhoCan be hybrid in San Francisco.Is very proficient in Typescript/React/Node.Can leverage GPT/Claude/Cursor to accelerate their work.Has built products 0 -> 1 with real users and revenue.Is OK with not having product and design support all the time.Is ALWAYS SHIPPING. We don't spend weeks planning features at Replo.Has a product and customer-focused mindset.Has experience being burned by deployment and maintenance issues. If you have a a strong opinion on how products should be built, that’s good.Values writing clean, maintainable software, including documentation (e.g. the code needs to be correct and run fast, but we’re the ones that have to read it and understand it).Is comfortable with ambiguity and defining software architecture patterns to solve customer pain points. Bonus points if youHave a Computer Science degree or formal computer science/STEM backendHave started a company beforeEnjoy attending hackathonsWorked at an early-stage (Series A or earlier) startup previouslyHave not wasted hours interview-prepping on LeetcodeHave an eye for visual design (or past experience in product design, Figma, etc).The salary range offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered.Replo is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records._ Note on Visas — At this time, Replo is unfortunately unable to support employees on visas._",Entry level,"Software Engineer, New Grad (Dec 2024 Only)"
+684,2025-03-20,Indianapolis,Indiana,Brooksource,http://www.brooksource.com,"Here at Brooksource, relationships are at the center of everything we do. Since 2000, we have established and maintained lasting relationships with our clients, consultants, and internal employees to create an unparalleled experience. 
+
+Brooksource is a trusted provider of Engineering & Technology solutions for Fortune 500 organizations, specializing in Experience-Driven Staffing, Professional Services, and our innovative Workforce Transformation program, Elevate. Leveraging our partnerships with Salesforce, AWS, Microsoft, Google Cloud, and other leading technology alliances, we have the expertise and capabilities to deliver creative resourcing strategies. 
+
+In today’s evolving digital landscape, the convergence of Engineering & Technology is revolutionizing industries, reshaping our world. As organizations seek partners to navigate this transformative journey, we provide strategic guidance and tailored services that drive value and innovation. By collaborating closely with our customers, we identify opportunities to optimize technical investments, streamline operations, & enhance overall business performance.
+
+With our expanding national footprint, Brooksource is committed to setting new standards for Engineering & Technology service providers. We’re proud of our ongoing dedication to prioritizing relationships and enabling workforces for the future.
+
+Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.","Our Fortune 50 Healthcare Insurance client is seeking a highly skilled AI/ML Engineering resource to play a pivotal role in the development, expansion, operation, and maintenance of generative AI solutions. The primary responsibilities include running an experimental framework to determine the optimal prompt engineering approaches, tuning prompts, and collaborating with subject matter experts (SMEs) for evaluations and results. This role requires a deep understanding of evaluating models output in production, particularly when ground metrics are absent, monitoring for issues such as model drift and hallucinations, and optimizing for offline and online metrics. Key Responsibilities:· Scope, develop, expand, operate, and maintain scalable, reliable and safe generative AI solutions.· Design and execute prompt engineering experiments to optimize Large Language Models (LLMs) for various use cases.· Collaborate with SMEs to evaluate prompt effectiveness and align AI solutions with business needs.· Understand and apply offline and online evaluation metrics for LLMs, ensuring continuous model improvements.· Evaluate production models using live data in the absence of ground metrics, implementing robust monitoring systems.· Monitor LLM applications for model drift, hallucinations, and performance degradation.· Ensure smooth integration of LLMs into existing workflows, providing real-time insights and predictive analytics. Qualifications:· Solid experience in business analytics, data science, software development, and data engineering.· Expertise in Python and frameworks such as PyTorch, TensorFlow, or ONNX.· Hands-on experience working with LLMs and Generative AI, including model development and inference patterns.· Proven ability to design scalable systems leveraging LLMs, particularly in distributed computing environments. Preferred Skills:· Experience in prompt engineering and prompt optimization.· Expertise in running experiments to evaluate generative AI performance.· Knowledge of production-level monitoring tools for ML models, including drift detection and mitigation strategies.· Excellent problem-solving skills and ability to work cross-functionally with data scientists, engineers, and SMEs.· Experience with safety, security and responsible use of AI.· Experience with red-teaming (adversarial testing) of generative AI.· Experience with developing AI applications with sensitive data such as PHI, PII and highly confidential data.",Mid-Senior level,Machine Learning Engineer
+685,2025-04-07,Irvine,California,Symple Lending,http://www.symplelending.com,"Symple Lending is an innovative fintech company that delivers sustainable solutions to consumers at various milestones in their lives. Financial freedom is the ultimate destination, but the road to get there is a long and winding one, marred with uneven pavement and unexpected detours. Our customers know that when they face a last-minute surprise, we can provide a fast injection of capital to help them keep moving along life’s journey.","Symple Lending, is an innovative fintech company that is at the forefront of transforming the lending industry by empowering customers on their journey to financial freedom. Our commitment lies in providing seamless and efficient lending solutions to our customers.Symple Lending is seeking a LeadGen Data Scientist. As a Scientist, you will help allocate a $1M+ per month marketing budget to optimize the company’s Customer Acquisition Cost (CAC). The role uses existing partnerships to select the target marketing audience on a weekly basis using machine learning (ML), feedback loops, and balanced heuristics. The opportunity is to innovate and mature the existing pipeline while building and deploying code packages to support and validate the work. This ultimately leads to a valuable, data-driven decision framework for selecting and interacting with the right customer audience. These decisions must be explainable by the Scientist to company stakeholders and external partners.What You’ll Be DoingWhat You’ll Bring:This hybrid role is based in Tampa, Florida, and requires the candidate to be on-site part-time or willing to relocate. Machine Learning: Apply machine learning algorithms to solve business problems, such as predictive modeling, recommendation systems, or anomaly detection. Collaborate to enhance data-driven decision-making through machine learning.Deploy technical solutions within the cloud environment. Scripting: Develop and maintain scripts in Python to automate data processing and data analysis. Build within a code package environment. Analysis and Outcome Review: Analyze data to identify trends, patterns, and anomalies, providing actionable insights to stakeholders. Generate visual monitoring with decisions and processes. SQL and Database Querying: Reference and critique data within the company Data Lake Write SQL queries to transform data into useful formats. Troubleshoot data issues, and maintain data integrity. Governance and Quality: Ensure data accuracy, consistency, and quality throughout the organization. Operate within data governance practices and enforce data security and compliance protocols.Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.Proven experience as a Data Scientist or similar role.Experience in cloud infrastructure (e.g., AWS, Azure).Strong SQL skills and experience working with relational databases.Strong analytical and problem-solving skills.Excellent communication and collaboration skills.Attention to detail and a commitment to data quality and accuracy.Proficient in Python scripting for data analysis and automation.Experience in deploying production-grade machine learning solutions through tools such as AWS Sagemaker.Why Work For Symple LendingDental InsuranceCompetitive Salary Modern office settingWork-from-home daysGrowth opportunitiesHealth insuranceVision insurancePaid time offA collaborative and innovative work environment.Opportunities for professional growth and development.Cutting-edge projects and exposure to the latest technologies.Professional development assistanceSymple Lending is an equal opportunity employer and encourages candidates of all backgrounds to apply.Symple Lending is unable to provide visa sponsorship for this position",Entry level,LeadGen Data Scientist
+686,2025-03-27,China,China,ByteDance,https://job.bytedance.com/en/#/,"ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok.
+
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. 
+
+Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.
+
+We have over 110,000 employees based in more than 30 countries globally. Join us.","ResponsibilitiesAbout the teamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.QualificationsMinimum Qualifications: Currently pursuing a Bachelor's or Master's in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.Preferred Qualifications Graduating December 2025 onwards with intent to return to degree-program after the completion of the internship. Demonstrated software engineering or natural language processing, deep learning experience from previous internship, work experience, coding competitions, or publications. High levels of creativity and quick problem-solving capabilities.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $45- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About UsFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.Why Join ByteDanceInspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.Reasonable AccommodationByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (Search-TikTok Recommendation) - 2025 Summer (BS/MS)
+687,2025-03-23,Mountain View,California,Moveworks,https://moveworks.ai/?utm_source=soc&utm_medium=li,"Moveworks unifies every business system with natural language, giving employees one place to go to find information, automate tasks, and be more productive, increasing employee efficiency and satisfaction by streamlining everyday tasks.
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+Powered by a pioneering agentic AI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, Moveworks understands employee requests, devises intelligent plans, and executes actions to complete tasks across application boundaries in over 100 languages.
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+More than 350 brands, such as Toyota, Spotify, GitHub, Marriott, Snowflake, Unity, Databricks, Broadcom, Hearst, and Palo Alto Networks, trust Moveworks to automate menial tasks and power a universal search interface across business applications.
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+Learn more at moveworks.com.","What You Will DoWe are looking for a search relevance engineer to work with a team to improve a search based question answering platform. At Moveworks, we build search technology to answer enterprise users’ tech questions instantly, by combining modern information retrieval methodology with the latest advancement in natural language understanding. Our core Search product value is achieved through the capability of accurately retrieving, matching and ranking text snippets extracted from heterogeneous knowledge sources, as direct answers to users’ requests. You will play a critical role in boosting answer quality by meeting the challenges such as lexical gap, semantic text understanding, and data sparsity.We’re building a team that indexes on moving fast, solving challenging product/engineering problems and providing value to our customers. To be successful, you'll be partnering with product, user experience, customer success and other engineering teams to identify, define and build elegant solutions.Craft new ranking features and optimizing existing ones to enhance relevance metricsDevelop algorithm framework to support diversified ranking featuresDesign platform and tooling to enable parallel ranking experimentsDevelop metrics to evaluate ranking performanceWhat You Bring To The TableFirst-hand experience in traditional information retrieval techniques, or machine learning based ranking modelsCapable of deriving insights from query logs analysis and identifying areas of improvement for search qualityBackground in text processing, information retrieval, natural language understanding, or machine learningNice to HaveExperience in GolangBase Compensation Range: $120,000 - $249,000Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.Moveworks Is An Equal Opportunity EmployerMoveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.Who We AreMoveworks is the universal AI copilot for search and automation across all your business applications. We give employees one place to go to find information and get support while reducing costs for your business. The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them. It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees.The world’s most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminate repetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team. In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year. We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024!Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.Come join one of the most innovative teams on the planet!",Mid-Senior level,Senior Machine Learning Engineer - GenAI Search Relevance
+688,2025-04-08,New York,NY,Focus Capital Markets,http://focuscapital.com,"Through the bold leadership of its president, Scott Gerson, Focus Capital has succeeded in becoming one of New York's leading international trading & technology executive search firms. Focus has introduced to Wall Street many of the world's foremost mathematicians, physicists and computer scientists. In fact, Focus Capital was one of the first technological recruitment firms to acknowledge and facilitate the globalization of financial markets by exporting American talent to London and the Far East. Focus Capital continues to act as a special hiring advisor to many of the world's leading Hedge Funds.","Focus Capital is looking for a rock star AI software engineer with extensive Python experience to join our partner’s startup technology firm. As the innovator in out-of-the-box AI and LLM solutions, the firm privately raised over $100 Million in funding with a billion dollar evaluation and over $100M in revenue since it's inception.Servicing some of the top consumer-facing firms (including Fortune 10 companies), our partner has capitalized on the growing interest in generative AI, large language modeling and automated ML technologies by offering a platform that each company can build on top of and utilize for a variety of use cases. Think of the ability to instantly turn a legacy company's antiquated databases into its own Google to find nuanced insights, can turn every file into a searchable Google Images-like tool, or give that company the ability to automate technology processes at scale with almost no tuning required. In this role, you will work with AI researchers, data experts and software teams to develop data sets that supercharge next gen AI models. You will make an impact in end-to-end processes including be involved with data strategy, pipelines, data processing, software development and AI infrastructure. You will also work on customer-facing teams that allow the startups clients to use advanced models for various business use cases.You would be joining a rapidly growing and already successful company that operates as a startup despite having numerous Fortune 500 clients. We will only accept candidates who are 100% hands-on and don’t have any issues being tech’d out in the process.The role is based in San Francisco and requires a total of 2 days onsite per week  Minimum Qualifications:5+ years of experience programming in PythonPrior professional experience working with Gen AI, LLMs and SLMs.Tangible experience working with ETL, relational databases, SQL, NoSQL or MongoDB.Desire to work with machine learning toolsPrior professional experience with cloud environments (i.e. AWS, GCP)A bachelors or higher in computer science or a related fieldMust have excellent communication skills.",Mid-Senior level,AI Software Engineer (Top AI/LLM Startup)
+689,2025-04-09,Redwood City,CA,PubMatic,https://pubmatic.com/?utm_source=LinkedIn,"PubMatic (Nasdaq: PUBM) is an independent technology company maximizing customer value by delivering digital advertising’s supply chain of the future. 
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+PubMatic’s sell-side platform empowers the world’s leading digital content creators across the open internet to control access to their inventory and increase monetization by enabling marketers to drive return on investment and reach addressable audiences across ad formats and devices. Since 2006, our infrastructure-driven approach has allowed for the efficient processing and utilization of data in real time. By delivering scalable and flexible programmatic innovation, we improve outcomes for our customers while championing a vibrant and transparent digital advertising supply chain. ","About The RoleWe are immediately hiring a results-oriented Lead Machine Learning Engineer to join our growing team in Redwood City on a hybrid schedule. Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business. The ideal candidate will apply quantitative analysis, modeling and data mining to help drive informed product decisions for PubMatic + get things done.What You'll DoBe a hands-on technical leader working closely with Product and Engineering teams.Perform deep dive analysis to understand and optimize the key product KPIsApply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application productsConduct data analysis to make product recommendations and design A/B experimentsPartner with Product and Engineering teams to solve problems and identify trends and opportunitiesCollaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentationsWe'd Love for You to HaveQuantitative BS or MS degree (e.g., Physics, Statistics, Mathematics, Economics, or Computer Science)4+ years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlibProven ability to inspire, mentor, and develop people to deliver value consistentlyExperience with articulating product questions and using statistics to arrive at an answerExperience with scripting in SQL - extracting large data sets and design of ETL flowsWork experience in an inter-disciplinary/cross-functional fieldDeep interest and aptitude in data, metrics, analysis, trends and applied knowledge of measurement, statistics and program evaluationDistinctive problem-solving skills and impeccable business judgmentCapable of translating analysis results into business recommendationsAdditional InformationReturn to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions.Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days per week.Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability statusAbout PubMaticPubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.Compensation DisclosureIn accordance with applicable law, the below salary range provided is PubMatic’s reasonable estimate of the total compensation for this role. New hires and current team members are typically compensated toward the middle of our pay range. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package.Total Compensation Range$200,000 - $250,000 USD",Mid-Senior level,Lead Machine Learning Engineer
+690,2025-04-03,San Francisco,California,Twitch,http://www.twitch.tv,"Twitch is where thousands of communities come together for whatever, every day. Together for streamers. Together for games we love. Together for each other.","About UsTwitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.About The RoleAs a software engineer on Twitch’s Safety ML team, you will leverage machine learning to develop the systems that keep the everyday Twitch user safe from abuse such as harassment, spam, and illegal content. You will collaborate with a passionate team of scientists and engineers to build the systems necessary to train, evaluate, and productionize our various models. You will build the tools and systems necessary to integrate these models into various parts of the Twitch experience to protect our users from harm.You can work from San Francisco, CA.You Will:Design, build, and deploy reliable and performant services to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal contentCollaborate with Community Health’s science and product management team to productionize and scale models into ML-based services to be used across Twitch.Design and build performant and reliable systems that handle multiple types of data, such as user behavior, metadata, and user generated content at scale for model developmentDeliver high-quality code, tests, and documentationYou Have:Bachelor's degree in Computer Science or related field or equivalent industry experience as a Software EngineerFamiliarity with scalability, concurrency, API design, data modeling, and distributed systems fundamentalsWillingness to learn and keep up with developments in the ever-evolving ML spaceWillingness to try new things and work with a diverse group of people across many functionsBonus PointsFamiliarity with machine learning techniquesExperience writing Go in production systemsFamiliarity with Python and modern open source ML libraries (Pytorch, Tensorflow, etc.)Experience with AWS infrastructurePerksMedical, Dental, Vision & Disability Insurance401(k)Maternity & Parental LeaveFlexible PTOAmazon Employee Discount We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.Job ID: TW8779Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.US Pay Per Year$99,500—$200,000 USD",Not Applicable,Software Development Engineer - Safety ML
+691,2025-04-09,Dublin,County Dublin,Mentor Talent Acquisition,http://www.mentortalent.ie,"For Clients
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+We are a Global Talent Agency with a proven track record of building teams across the US, Europe, Canada, South America, and Asia.
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+Save time and money with us with no risk as we work on a success-only basis and use Data Driven Recruitment Techniques and AI to ensure we send the best talent from our worldwide pool. 
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+We also specialise in building high-performing remote teams, helping businesses cut costs while maintaining the quality of work that drives success.
+ 
+To see how we can help you build your team; please contact us at bd@mentortalent.ie
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+For Candidates
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+We are ready to help you find your dream role.
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+We have global reach and work with some of the best and diverse companies from across the US, Europe, Canada, South America and Asia.
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+Our philosophy is simple; help people find jobs they love.
+‍
+To see what roles we have for you today; please contact us at job@mentortalent.ie","About UsWe are dedicated to advancing the performance, scalability, and visibility of AI-driven systems, helping teams optimize their workflows and grow at scale.Role OverviewWe are in search of a foundational team member specializing in Machine Learning Engineering/Research.What We ProvideOpen-source Engagement: A major portion of your work will involve contributing to publicly available open-source projects.Opportunities for Advancement: While your expertise will be in Machine Learning, you'll be encouraged to broaden your skill set in other areas as well.Close-knit Team: You'll collaborate with a talented, small group, playing a pivotal role in shaping both our company culture and engineering practices.What We Are SeekingTechnical Expertise: You have a track record of solving complex technical challenges.Project Leadership: You’re confident in leading large projects from start to finish.Specialization: Experience with Large Language Models (LLMs) or Reinforcement Learning (RL) is highly preferred.",Mid-Senior level,Machine Learning Engineer
+692,2025-04-02,Los Altos,California,ArteraAI,https://artera.ai,"Our AI can prognosticate patient outcomes & personalize treatment in localized prostate cancer.
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+Five Phase III randomized trials were used to develop prognostic and predictive AI biomarkers.","About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.As a Machine Learning Engineer at Artera, you’ll work on the AI Platform team with a focus on establishing scalable and efficient pipelines for data processing and model training. You’ll work closely with AI model developers, fellow machine learning engineers, and our platform engineering team. You’ll ensure that Artera’s model developers can rely on highly efficient, large-scale training regimes and deploy optimized models to production environments.Essential ResponsibilitiesBuild and own tools and libraries that accelerate Artera’s ability to develop, launch, and monitor AI products.Work with model developers to optimize GPU and CPU efficiency and data throughput of large-scale foundation models and downstream model training runs.Optimize Artera’s ability to store and process terabytes of digital pathology data efficiently for the use in serving large-scale training regimes.Ensure that Artera’s observability infrastructure provides a clear picture of how to continue to optimize performance across our model landscape.Experience Requirements4+ years of industry software engineering experience3+ years of industry experience using one of PyTorch, TensorFlow, or JAX in Python2+ years of industry experience building with AWS, Docker, and Kubernetes1+ years of industry experience optimizing large-scale, high data-throughput, distributed machine learning training pipelinesDesiredExperience using Terraform, SqlAlchemyExperience using ML orchestration frameworks such as Ray, Kubeflow, Metaflow, MLFlow, Flyte, Dagster, Argo Workflow or PrefectExperience deploying and maintaining infrastructure for machine learning training and production inferenceFamiliarity with TorchScript, ONNXRuntime, DeepSpeed, AWS Neuron or similar approaches to inference optimization$140,000 - $180,000 a yearIn addition to base salary, equity is a core component of our compensation. We also offer 401k matching, unlimited paid time off (PTO), and more.The base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process.Equal Employee Opportunity: At Artera, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients and physicians. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.",Entry level,Machine Learning Engineer (Platform)
+693,2025-04-09,New York,NY,thrively,https://thrivelytalent.com,"Thrively exists out of a conviction that organizations need strong recruiting and HR partners like never before. We are a team of seasoned professionals who have all held senior leadership positions, sat on executive teams, and worked closely with boards. We’ve had to navigate scaling up quickly and scaling down. In a post-pandemic era we understand the stress that is placed on business leaders. Talent is demanding more work flexibility and authenticity from their leaders than ever before while leaders are feeling the demand from investors to stay lean and get to and maintain profitably. It’s no longer growth at all costs and everyone is trying to adjust. We know how to partner with leaders in this new dynamic to ultimately put the right talent in the right roles at the right time.
+","Our client, a fast-growing tech startup backed by top-tier investors, is on a mission to transform how small businesses leverage technology to grow and operate. They are building AI-powered tools and digital infrastructure to support home service professionals—from roofers to landscapers and everything in between.As the company continues to scale, they’re looking for a talented AI Engineer to join their Boston-based team. This is a rare opportunity to have a meaningful impact on a growing product and work alongside a high-caliber, collaborative engineering team.⚡ What You’ll Do:Enhance AI Agent and Chat Capabilities: Develop AI-powered assistants that help customers run their businesses more effectively.Deploy & Scale AI Features: Build infrastructure and pipelines to support real-time AI interactions in a production environment.Experiment & Iterate: Prototype new AI applications, evaluate their performance, and continuously improve based on user feedback.Collaborate Across Teams: Work closely with engineering, product, and design leaders to shape product strategy and execution.🎯 What We’re Looking For:2+ years of experience in AI, ML, or NLP-related roles (and/or 5+ years as a software engineer)Strong problem-solving skills and a bias for action in ambiguous, fast-paced environmentsHands-on experience with OpenAPI, embeddings, vector databases, and retrieval-augmented generation (RAG)Familiarity with LLMs, prompt engineering, fine-tuning, and evaluation strategiesExperience deploying AI models into production environments (real-time systems, cloud APIs, etc.)Passion for building alongside empowered product and design teamsProficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging FaceBonus: Experience with Django, PostgreSQL, and modern frontend frameworksStrong communication and collaboration skillsA team player with curiosity, humility, and a great sense of humor🙌 What They OfferCompetitive compensation package with equityUnlimited vacation policy, 9 company holidays, and 1 volunteer day per yearComprehensive health, dental, and vision insurance401(k) planA fun, close-knit team that values building great products—and enjoying the ride",Mid-Senior level,AI Software Engineer
+694,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity.What You'll Do Participate in the development of a large-scale Ads system. Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the TikTok ads monetization ecosystem. Work with product and business teams on product vision.Qualifications BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. 2+ years of experience in and good theoretical grounding in machine learning concepts and techniques. Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python. Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc Ability to think critically and to formulate solutions to problems in a clear and concise way. Preferred experience: ads system, recommendation, searching, ranking, etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Monetization Technology/Ads Engineering (General Hire)"
+695,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Level 5"
+696,2025-03-26,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
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+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Perception Scene Semantics team is responsible for developing ML models for scene understanding around construction, emergency scenes, mapless driving and world changes. The team works on the end to end ML pipeline from data mining, labeling, training onboard / offboard models, and deployment. We need someone with strong ML experience to drive the architecture upgrades and product feature development.In this hybrid role, you will report to a TLM within Perception Semantics.You WillDesign and implement new evaluation systems and strategies to measure the safety and performance of large-scale Waymo Perception machine learning models and support onboard engineers in both regression prevention and quality hillclimbing.Make evaluation-driven recommendations for modeling and data changes and actively influence deployment of onboard models.Create evaluation strategies that leverage advanced ML strategies and models, like VLMs, active learningYou Have2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML productsAbility to drive the development of new productsExperience in JAX (Preferred), TensorFlow (Preferred), or PyTorchFunctional knowledge of C++ programmingPassion for developing novel ways of measuring the performance of mission-critical ML systemsExperience evaluating the quality of machine learning prediction at scaleWe PreferBackground in both computer vision and general machine learning.Experience using and developing distributed systemsGood knowledge of LLM/VLMThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$204,000—$259,000 USD",Mid-Senior level,"Senior Software Engineer, Applied ML and Evaluation"
+697,2025-04-08,Mumbai,MH,LTIMindtree,https://ltimindtree.com,"LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 86,000+ talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
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+LTIMindtree is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities regardless of race, ethnicity, nationality, gender, gender identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability, or any other characteristic protected by applicable law. 
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+Please note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge candidates any registration fees or other fees for appearing in interviews or securing employment/internships. Candidates are solely responsible for verifying the credentials of any agency or consultant claiming to work with LTIMindtree for recruitment purposes. Please note that anyone relying on representations made by fraudulent employment agencies/consultant does so at their own risk. LTIMindtree disclaims any liability for loss or damage suffered as a result of such actions. 
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+For more info, please visit ltimindtree.com.","About Us:LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com. Job Title: Data Scientist with Python Work LocationUSA (Tampa, FL) (Onsite/Hybrid)Job Description:Minimum 6+ years of industry experience in enterprise level AI model development and deployment exposureShould have sound knowledge in time series data and statistical data analysis Hands on experience in large Dataset Pre-processing, data cleansing techniques for unstructured data, data pre-processing and data ingestion Deep knowledge and hands on implementation exposure in feature engineering techniques to comprehend expected model outcome - aligning to a given domain led business outcome Experience in Deep learning and Natural Language Processing (NLP) for Text Classification Topic Modelling Sound knowledge on transformer architecture having one of the language model application exposures is a must - Vector DB, Word2Vec, BERT, ColBERT, spaCy, GPT, etc with semi supervised model building experience Sound knowledge of LLM model tuning and conceptual level understanding of how last layer training with self-attention and other hidden layers that are required for LLM model re training MLOps with enterprise scale AI model management deployment exposure and existing model retrain exposure is an added advantageDevelopment experience in Python and or R for data pre-processing, model pipeline builds and data visualizationGood understanding on Data Visualization tools and dashboard creation is an added advantage Familiarity of different data source ingestion management SQL, NoSQL DB and streaming dataMANDATORY CERTIFICATION: Python Institute - Certified Associate in Python ProgrammingBenefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):Benefits and Perks:Comprehensive Medical Plan Covering Medical, Dental, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid Paternity and Maternity LeaveThe range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office:In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.",Mid-Senior level,Data Scientist
+698,2025-04-04,Knoxville,TN,Tombras,http://www.tombras.com,"Tombras is a 450+ person, full-service agency with a digital mindset. We are one of the top independent agencies in North America. We are united by our philosophy: Connecting Data & Creativity for Business Results.®
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+
+2023 AdAge A-List Standout 
+2022 ADWEEK US Agency of the Year (Finalist)
+2021 Fast Company World Changing Ideas
+
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+Clients include Orangetheory Fitness, MoonPie, BUSH's Beans, Rolls-Royce, Pernod Ricard, Frito-Lay, Zaxby's
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+
+
+","Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided.The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing:Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the resultsDevelop the framework and approach for marketing science and develop bespoke offeringsEmploy best in class tooling to develop proprietary Martech in partnership with the Technology and Media practicesIdentify new and innovative data sets that can be used to improve existing modeling work, or deliver net new modelsClearly articulate statistical results to clients, ultimately leading to continued client engagement and implementationWhat you bring:M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research(Optional) Experience in marketing science or advertising analyticsMastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice ModelsStrong competency with python, R, SQL, and other commonly used statistical toolsClient services mindsetAbility to influence clients and partner agencies to act on insightsAbility to distill complicated information into succinct graphical presentations for senior stakeholdersWhy Join Tombras Analytics?Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.Why you’ll want to work at Tombras:You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You’ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.Tombras Benefits:Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly officesUnlimited PTOGenerous parental leave for primary and non-primary caregivers.Medical (PPO or High Deductible option) for employee + dependents401(k) ParticipationEmployer-paid Dental & VisionA company culture of promotions from within and an atmosphere allowing for varied and rapid career development.New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values.Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.Tombras is an E-Verify employer and participates in the E-Verify program.This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.",Not Applicable,Data Scientist
+699,2025-04-02,California,94086,Intuitive,http://www.intuitive.com,"Intuitive (Nasdaq: ISRG), headquartered in Sunnyvale, Calif., is a global technology leader in minimally invasive care and the pioneer of robotic-assisted surgery. At Intuitive, we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.","Company DescriptionAt Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.Job DescriptionThe Ion™ endoluminal system is Intuitive's new robotic platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. As an algorithms engineer on the Ion project, you will join a small team of robotics and software experts. You will play a lead technical role, working to conceptualize, design, and evaluate new aspects of a guidance software solution.Work as part of a cross-functional team in a fast-paced, start-up-like business unitDevelop new algorithms and software implementations related to medical image analysis and/or computer visionPrototype and iterate on designs, develop tests, and deliver high-quality software in C++Create requirements and formal test protocols for new featuresQualificationsMS or PhD in CS, EE, ME, BioE or related fields with 6+ years of related experienceGreat communication skillsExceptional programming skills; C++ knowledge preferredDemonstrated expertise in computer vision, medical image analysis, registration, robotics, sensor fusion, and/or machine learningDemonstrated ability to systematically troubleshoot and debug complex systemsHigh levels of autonomy and technical ownershipBonus points for:Experience with development in LinuxExperience with OOP designKnowledge of one or more of the following libraries and tools: OpenCV, PyTorch, TensorFlow, ITK, VTK, ROSExperience with medical devices and product development in a regulated industryCandidates at all experience levels are encouraged to apply, as the seniority level of the position may be adjusted based on the applicant.Learn more about the compelling, collaborative work environment of the Ion Software Engineering Team here.Additional InformationDue to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.Intuitive is an Equal Employment Opportunity / Affirmative Action Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.EEO and AA PolicyWe will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.Base Salary Range Region 1: $155,000 USD - $223,000 USDBase Salary Range Region 2: $131,800 USD - $189,600 USDShift: DayTravel: NoneWorkplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.",Mid-Senior level,Future Opportunity -- Machine Learning Engineer
+700,2025-04-09,McLean,Virginia,Dexian,http://www.dexian.com,"Dexian is a leading provider of staffing, IT, and workforce solutions with nearly 12,000 employees and 70 locations worldwide. As one of the largest IT and professional staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was launched in 2023 and created from the combination of DISYS, Signature Consultants, and other strategic acquisitions.
+
+Dexian fuses the best elements of its legacy companies to create a platform that connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.
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+Dexian’s brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit www.dexian.com to learn more.
+","Job Title: AI/ML Engineer / Data ScientistLocation: Jersey City, NJ [OR] McLean, VA [OR] Boston, MA ( Choose Any 1 )Hybrid: 3 days Onsite & 2 days REMOTEDuration: 8 Months (CONTRACT TO HIRE)Pay Range: $70 - $75/hr Description:Looking for a hands-on AI/ML Engineer to join our dynamic Technology Research and Innovation team, where you'll play a pivotal role in spearheading AI initiatives and innovation.As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement. Skills & Experience Needed:  6+ years of experience in Machine Learning and Data Science.Hands on experience with writing code, machine learning technologies, API development/Python, Pandas, NumPyExperience in Generative AI (RAG/ Agentic AI apps)Strong programming skills in PythonExperience working with large datasets and performing data analysis.Experience with Machine Learning, Data Visualization, and Generative AI libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain).Experience in Prompt Engineering, LLM Fine Tuning, and evaluation techniquesProven experience in developing and deploying machine learning models in a production environment.Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic AI Workflow, Statistical methods, data structures, and algorithms.Experience with Snowflake Data Pipelines (stream, task, UDF) and Cortex features is a plusExperience with AWS Sage Maker, Bedrock, and AWS cloud platform for deploying AI solutions.Experience in building Asynchronous Python APIs for model inferencing.Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.Previous experience in a similar role or industry is preferred.Passion for learning and staying up-to-date with the latest advancements in AI fieldExcellent communication and collaboration skills. Strong problem-solving skills and analytical thinking Responsibilities: Python API Development:Develop scalable APIs in Python (fastApi, Apache, Gunicorn, Uvicorn) for model inferencingGenerative AI Application DevelopmentDevelop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.Model Development and DeploymentDesign and develop machine learning models and algorithms to address business challenges and improve product features.Deploy machine learning models in production environments to ensure scalability and efficiency.Optimize and refine models based on performance metrics and feedback.Data ManagementCollect, clean, and preprocess data from various sources to create robust datasets for training and evaluation.Implement data augmentation and feature engineering techniques to enhance model performance.Maintain and manage data pipelines to ensure seamless data flow and integration.Research and InnovationStay updated with the latest trends and advancements in AI and machine learning technologies.Conduct research to explore new methodologies and techniques that can be applied to current and future projects.Collaborate with cross-functional teams to drive innovation and implement cutting-edge solutions.Collaboration and CommunicationWork closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals.Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.Desired Skills and ExperienceMachine learning, Data Science, AI, ML, Python, GenAI, Generative AI, Large Language Models, LLMs, TensorFlow, Python, NLPDexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.",Mid-Senior level,AI / ML Engineer / Data Scientist
+701,2025-04-07,New York,New York ,Cedar,http://www.cedar.com,"Cedar is the leading financial experience platform for healthcare providers who prioritize patients. Cedar delivers healthcare’s top patient financial experience platform for modern revenue cycle teams. Starting with consumer-grade technology, we offer the only platform that integrates a patient’s billing and benefits information in one simple payment experience. Our platform is a must-have for finance leaders to increase patient payments while boosting patient loyalty. ","Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S.Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. The RoleWe're seeking a Senior Data Scientist to join our Commercial Analytics team and develop scalable analytics tooling that drives action. The Commercial Analytics team's goal is to enable our clients to understand, appreciate, and extract the most value out of their Cedar relationship and products. The team's ambition is to satisfy and delight Cedar's clients through access to data and insights that:Help them build trust in Cedar's products and recognize the value they deliverEmpower them to take advantage of Cedar's varying features and levers to maximize valueAs a Senior Data Scientist, you will be viewed as a force multiplier for your squad, displaying leadership and beginning to have impact beyond your own tasks. You will lead squad-level projects, mentor junior team members, and drive decision-making within your team. You will develop expertise in Cedar's data ecosystem and translate business problems into actionable insights that drive strategic decision-making at the squad level.Key ResponsibilitiesLead the successful delivery of Squad-level KRs with measurable business valueDesign and develop comprehensive analytics tooling and dashboards that drive strategic decision-makingExecute ambiguous projects independently, proactively asking for help when neededLead and execute complex ad-hoc data analyses, translating findings into scalable analytics solutionsServe as a thought partner to client-facing teams, providing data-driven insights that enhance client relationshipsDevelop and optimize data pipelines in dbt, ensuring data quality and reliabilityUtilize Python and SQL for notebook-based exploration and sophisticated ad-hoc analysesPresent and communicate data findings and methodology to commercial stakeholdersPartner with Data Engineers to implement robust data infrastructure for complex analysesMentor junior team members and provide constructive feedback within your teamIdentify and advocate for opportunities to deliver impact within your squadSolve hard problems that require depth of expertise in your domainProactively take on new challenges and projects to better the teamSkills and Experience7+ years of experience in analytical roles, with demonstrated impact on business outcomesStrong proficiency in SQL and visualization tools (e.g., Looker, Tableau, Power BI)Experience developing and maintaining data pipelines in dbtProficiency in Python for data analysis and notebook-based explorationsAbility to translate business problems into structured analytical approachesStrong presentation and communication skills, with ability to influence decision-making within the teamAnalytical ability and understanding of statistical methodsExperience decomposing ambiguous problems and executing on solutionsProactive attitude, ownership mentality, and growth mindsetAbility to accurately represent your work and its value to partners within CedarExperience mentoring junior team members is a plusKnowledge of or experience in the healthcare industry is a plusApplicants must be currently authorized to work in the United States on a full-time basis. Compensation Range and BenefitsSalary/Hourly Rate Range*: $178,500 - $210,000This role is equity eligibleThis role offers a competitive benefits and wellness package*Subject to location, experience, and education What do we offer to the ideal candidate?A chance to improve the U.S. healthcare system at a high-growth company! Our leading healthcare financial platform is scaling rapidly, helping millions of patients per yearUnless stated otherwise, most roles have flexibility to work from home or in the office, depending on what works best for youFor exempt employees: Unlimited PTO for vacation, sick and mental health days–we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to workDiversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians) Competitive pay, equity (for qualifying roles) and health benefits that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month)Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensationAccess to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personallyAbout usCedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. ""Over the past several years, we've raised more than $350 million in funding & have the active support of Thrive and Andreessen Horowitz (a16z). As of November 2024, Cedar is engaging with 30 million patients annually and is on target to process $3.5 billion in patient payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Novant Health, Allina Health and Providence.",Director,Sr. Data Scientist (Commercial Analytics)
+702,2025-03-14,Reading,MA,Eliassen Group,http://www.eliassen.com,"Eliassen Group is a leading strategic consulting company that provides business, clinical, and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on three main areas: technology solutions, clinical solutions, and financial, risk & compliance, and advisory solutions. Eliassen Group prides itself on its purpose to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. 
+
+Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
+
+Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. Also, please ensure that you are working directly with us by confirming the following:
+
+1. When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
+
+2. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
+
+3. If anyone seemingly from Eliassen Group has ever requested this personal information in the past or does so in the future, please contact InfoSec@eliassen.com. If you're ever uncertain, you're welcome to reach out to a confirmed Eliassen Group employee on Linked to confirm a job opportunity.","**Hybrid | Greenwood Village, CO**Our client has an exciting opportunity for a Data/ML Engineer. In this role you will:Design, build, and maintain ETL/data pipelines to enable large-scale analytics and machine learning workflows.Establish and support MLOps best practices for seamless integration and deployment of models into production.Collaborate with Data Scientists to operationalize and optimize NLP/Classification models. Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.Rate: $62 - $72 / hr. w2Responsibilities:Data Pipeline ArchitectureDevelop end-to-end data flows for ingestion, transformation, and storage (batch/streaming).Set up scalable data processing frameworks (AWS services, Spark, or Databricks).MLOps & DeploymentImplement automated CI/CD pipelines for model training, testing, and deployment.Monitor production models, ensuring reliability, scalability, and performance metrics are tracked.Infrastructure & ToolingLeverage AWS (S3, EMR, Lambda, etc.) and Azure for distributed data processing.Optimize cluster configurations and job scheduling for cost and performance efficiency.Collaboration & SupportWork closely with the Data Scientist to integrate NLP/Classification models into real-time or batch data pipelines.Troubleshoot and resolve pipeline issues quickly.Requirements:Programming: Strong Scala and Python skills; Spark or PySpark for distributed data processing.Cloud: Deep knowledge of AWS-based data pipelines (EC2, ECS/EKS, EMR, S3) and some Azure experience.Data Engineering: ETL frameworks, data warehousing solutions (e.g., Redshift, Snowflake) a plus.MLOps: Familiarity with MLflow, Docker, Kubernetes, or other containerization/orchestration frameworks.Additional Qualifications5+ years of data engineering or ML engineering experience (or equivalent).GitHub portfolio demonstrating data pipelines, infrastructure-as-code, or MLOps projects.Strong analytical and problem-solving skills, with ability to support a growing ML environment.Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com.Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.JOB ID: JN -032025-101197",Mid-Senior level,Data / ML Engineer
+703,2025-04-09,Mountain View,CA,Google,https://goo.gle/3DLEokh,"A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
+
+Check out our career opportunities at goo.gle/3DLEokh","The application window will be open until at least April 9, 2025. This opportunity will remain online based on business needs which may be before or after specified date.This role's primary work location is Seattle/Kirkland. During the application process, you will be able to indicate any additional preferred working locations. We encourage all qualified individuals to apply, and we will consider your skills and interests for other open positions across our available locations.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Austin, TX, USA; Boulder, CO, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; San Diego, CA, USA.Minimum qualifications:Bachelor's degree or equivalent practical experience.1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript) in an industry setting.Experience working with one or more of the following: Web or Mobile Application Development, Unix/Linux environments, Distributed and Parallel Systems, Machine Learning or AI, Information Retrieval, Natural Language Processing, Networking, Developing Software Systems, or Security Software Development.Preferred qualifications:Master's degree in Computer Science or a related technical field.Experience developing accessible technologies.Experience with machine learning algorithms and tools, Basics of Machine Learning, Generative AI, Recommendations/Ranking/Predictions, Natural Language Processing, Speech Audio, Machine Learning Infrastructure, Reinforcement Learning, and Computer Vision.Experience developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.About The JobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Cloud to Google Ads, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.The US base salary range for this full-time position is $118,000-$170,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .ResponsibilitiesDesign, develop, test, deploy, maintain, and improve software.Manage project priorities, deadlines, and deliverables.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .",Entry level,"Software Engineer II, Early Career"
+704,2025-04-09,Redwood City,California,Snorkel AI,https://snorkel.ai,"Snorkel AI makes AI development fast and practical by transforming manual AI development processes into programmatic solutions. Snorkel AI enables enterprises to develop AI that works for their unique workloads using their proprietary data and knowledge 10-100x faster. Five of the top ten US banks, several government agencies, and Fortune 500 companies use Snorkel. Snorkel’s core research was developed at Stanford AI lab and is deployed at Google, Intel, Apple, IBM, DARPA, and other trailblazing organizations. Backed by Addition, Greylock, GV, In-Q-Tel, Lightspeed Venture Partners and funds and accounts managed by BlackRock, the company is based in Palo Alto. For more information on Snorkel AI, please visit: https://www.snorkel.ai/ or follow @SnorkelAI.","We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!Snorkel AI is enabling a paradigm shift in ML development by helping organizations take a programmatic approach to machine learning application development. In support of our growth, we are recruiting a high caliber founding team of ML solution engineers to join our fast growing GTM team. In this role, you will act as a trusted advisor to prospective and existing customers. You will also work directly with our co-founding team, sales team, product team and ML Engineering team to provide value-based evaluation scenarios including demonstrations, labs, and POVs, to aid in closing business. You will sit at the intersection of product, sales and engineering and will work with the broader team to continue building Snorkel Flow into the leading platform for data-first AI.Main ResponsibilitiesMachine Learning Solution Engineers own the technical aspects of the sales cycle, designing and leading a tailored and business value-aligned technology evaluation processServe as our first line expert educators on the Snorkel Flow Platform, building demos and presentations for customers and field experts Act as the primary customer-facing technical resource during customer / partner meetings and technology evaluations, working at all levels in the organization with Data Scientists, AI/ML practitioners, Architects, Technologists, Product owners, Transformation leaders, LOB & C-level executivesServe as a trusted advisor on AI to help customers with their end-to-end vision; AI strategy, operating model & architectural best practices, problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption.Partner with sales leadership to achieve quota targets while also ensuring our customers are well positioned for a successful hand-off to our post-sales and customer success teams.Provide guidance to revenue leaders on sales strategy, product obstacles/gaps and represent the team's needs to executive staffInterpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions that help customers to accelerate critical business outcomes with AI.Collaborate and maintain a close working relationship with our co-founders, product, engineering, sales, and marketingSystematize and playbook pre-sales activities, such as demo and POC assets. Preferred Qualifications2+ years of experience in customer facing technical roles (can include sales at a B2B software company or DS/ML consulting)Experience executing a value centric sales motion using MEDDPIC, Command of the Message or other value centric sales methodologies and qualification frameworksExpertise in modern machine learning frameworks and technologies (e.g. PyTorch, TensorFlow, transformers)Knowledge of industry standard technologies in the Data Science and Machine Learning space Fluency with scripting in PythonHands-on experience building and implementing machine learning or AI modelsExperience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomesOutstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demosAbility to connect a customer's specific business problems to Snorkel’s differentiated platform and unique approach to ML development.University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferredBe Your Best At SnorkelSnorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.Snorkelers are supported by an amazing team and an amazing set of benefits. For Full-time employees, we offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.",Entry level,Machine Learning (Pre-Sales) Solutions Engineer
+705,2025-04-09,San Francisco,CA,Forage,http://www.joinforage.com,"Forage is a mission-driven payments company helping merchants accept government benefits through a single, unified API. Today, over 42 million Americans receive government assistance, such as SNAP (Supplemental Nutrition Assistance Program), to buy groceries. Starting with enabling EBT SNAP and EBT Cash, Forage builds the financial infrastructure empowering merchants to serve the underserved.","About UsForage is a mission-driven payments company that is helping merchants accept government benefits through a single, unified API. Today, over 42 million Americans receive government assistance (ex: Supplemental Nutrition Assistance Program, or SNAP) to buy groceries.Starting with enabling EBT SNAP online, Forage builds the financial infrastructure empowering merchants of all shapes and sizes to serve these shoppers online.We function as a hybrid organization, actively hiring across North America. While we embrace remote work, we prioritize candidates who can frequently contribute from our San Francisco or New York offices.You could work anywhere, so why Forage?Play a direct role in democratizing access to government benefits, transforming how we empower, feed, and serve American families in needJoin a pre-IPO, mission-driven startup with capital, traction, and runway (100X revenue growth in 2 years)Work closely with brilliant ‘Foragers’ from companies like Instacart, Stripe, Affirm, Uber, Google, and moreDisrupt a massive market and take us to a $1B+ business in the next few yearsJoin a talent-dense environment and significantly accelerate your career growth, backed by some of the best investors and partners in FinTech (Nyca, PayPal, etc.)What We Are Looking ForWe're seeking a Product Engineer who thrives on building features that delight users while maintaining high technical standards. The ideal candidate has 3-5 years of hands-on experience crafting user-facing products, with expertise in modern web technologies, Python, and frameworks like Django. You understand how to balance technical trade-offs with customer needs with a focus on backend development.Beyond coding, we value engineers who can effectively partner with product managers and designers to shape features from concept to launch. You should have experience leading medium-scale projects and a track record of breaking down complex product requirements into clear technical specifications. We're looking for someone who enjoys the full product development lifecycle - from user research and prototyping to implementation and iteration.Communication is essential in this product engineering role, as you'll collaborate closely with our product and design teams to understand user needs and translate them into elegant technical solutions. You should be comfortable giving and receiving feedback during product reviews and design critiques, while also being able to clearly explain technical constraints and opportunities. A passion for great user experience and a natural curiosity about how your code impacts real users will help you thrive in this position.QualificationsBachelor's degree in Computer Science, Engineering, or a related field, or equivalent industry experience3-5 years of experience in product engineering backend rolesStrong understanding of cloud platforms (ideally AWS) and their services.Proficient in scripting and automation using languages, ideally PythonExperience with web frameworks like DjangoStrong problem-solving skills and the ability to work independently and in a teamExcellent communication skills to collaborate with development teams and advocate for infrastructure needsExperience leading medium-scale projects involving another engineerExperience collaborating with cross-functional partners like product managers and solutions engineeringKey ResponsibilitiesCollaborate with product leaders to implement company objectives.Contribute to innovation related to the team’s mission of quality and scalability. Provide mentorship and guidance to team members on product engineering best practices.Serve on the on-call rotation to support high availability goals.Our OfferYour base salary would fall within the bands below. Please keep in mind that the equity portion of your offer is not included in these numbers and represents a significant part of your total compensation.Compensation: $125k-$160k USD base + equity + benefitsMeaningful work that makes a positive impact on our society.100% of Medical, Dental and Vision premium coverage for yourself and dependents. Enjoy regular team lunches at our San Francisco and New York offices , fostering collaboration and connection over great food.A fun and caring environment that prioritizes transparency, growth, and ownership.A talented, diverse, high-achieving, and humble team with diverse backgrounds and viewpoints.Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education or training.We aim to review every application within 3 business days of submission and provide feedback on each of your interviews within 2 business days of completion. Max, our AI recruiter, may reach out with follow-up questions.",Entry level,Software Engineer
+706,2025-03-28,Mumbai,Maharashtra,Tata Consultancy Services,https://www.tcs.com/,"Tata Consultancy Services (TCS) is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys since its inception in 1968. Our consulting-led, innovation-driven services help businesses evolve as perpetually adaptive enterprises, staying ahead in an ever-changing digital landscape. Recognized for excellence in software development, we rapidly apply and scale new technologies, driving long-term value and scalable transformation. Many of these relationships have endured for decades, navigating every technology cycle from mainframes in the 1970s to Artificial Intelligence today.
+ 
+A part of the Tata Group, India’s largest multinational business group, TCS has a highly skilled workforce of over 607,000 consultants in 55 countries and 180 service delivery centers across the world.
+ 
+Caution against fraudulent job offers: TCS doesn’t charge any fee throughout the recruitment process. Refer here: https://www.tcs.com/careers/india/recruitment-fraud-alert","We are seeking a talented Machine Learning / ETL Engineer to join our IT team and take on the challenge of advancing our Business Intelligence initiatives. In this role, you will be responsible for designing, developing and optimizing ETL / ELT processes for large-scale data processing and leveraging Machine Learning frameworks to perform data quality and anomaly detection across 1st and 3rd party datasets. You will work closely with analysts, data scientists, and other stakeholders to understand business requirements and translate them into high quality solutions. As a key member of our Business Intelligence IT team, you will leverage your expertise in machine learning algorithms, data engineering, and data analytics to drive ETL / ELT solutioning from a wide variety of datasets. You will play a critical role in maintaining data integrity and ensuring the timely availability of data for analytical purposes. We are looking for someone who is not only technically proficient but also possesses strong problem-solving skills and a passion for continuous learning in the rapidly evolving business.Responsibilities• Architecting and implementing robust, high-performance data pipelines across various data sources (databases, APIs, web services) to efficiently process and transform large datasets. • Enable and ensure data collection from various sources and loading it to a data lake, data warehouse, or any other form of storage.• Proficiently utilizing cloud platforms Snowflake, AWS, GCP to build scalable data processing solutions, including managing data lakes and data warehouses. • Developing and implementing data quality checks and monitoring systems to ensure data accuracy and reliability throughout the data pipeline. • Contribute to data documentation and governance strategies, including data access controls, data lineage tracking, and data retention policies. • Collaborating closely with data analysts, data scientists, and business stakeholders to understand data needs, translate requirements into technical solutions, and deliver actionable insights. • Excellent analytical and problem-solving skills, with the ability to work independently and in a team environment.Qualifications:• 7+ years of experience with data warehouse technical architectures, ETL/ ELT, reporting/analytic tools, and scripting.• Extensive knowledge and understanding of data modeling, schema design, and data lakes.• 5+ years of data modeling experience and proficiency in writing advanced SQL and query performance tuning with on Snowflake in addition to Oracle, and Columnar Databases SQL optimization experience.• Experience with AWS services including S3, Lambda, Data-pipeline, and other data technologies.• Experience implementing Machine Learning algorithms for data quality, anomaly detection and continuous monitoring, etc.Required skills and experience:• Strong proficiency in Python, SQL for data manipulation and processing. • Experience with data warehouse solutions for Snowflake, BigQuery, Databricks.• Ability to design and implement efficient data models for data lakes and warehouses.• Familiarity with CI/CD pipelines and automation tools to streamline data engineering workflows • Deep understanding of principles in data warehousing and cloud architecture for building very efficient and scalable data systems.• Experience with Apache Airflow and/or AWS MWAA• Experience with Snowflake’s distinctive features, including multi-cluster architecture and shareable data features.• Expertise in distributed processing frameworks like Apache Spark, or other big data technologies is a plus.Requirements:• Bachelor's degree in Computer Science, Information Technology, or a related field.• Proven experience as an ETL Engineer or similar role in data engineering.• Strong understanding of ETL concepts, tools, and best practices.• Proficiency in programming languages such as SQL, Python.• Experience with ETL tools/platforms Databricks, IBM DataStage is a major plus.• Knowledge of data warehousing concepts and architecture.• Ability to work collaboratively in a team and manage multiple tasks effectively.Salary Range: $90,000-$140,000 a year",Mid-Senior level,Machine Learning / ETL Engineer
+707,2025-04-06,,,"Applied Concepts, Inc.",https://www.stalkerradar.com/,"Applied Concepts, Inc., (d.b.a. Stalker Radar) began as a small contract engineering and manufacturing business in 1975. In the years that followed, ACI applied its engineering and manufacturing expertise to develop the largest patent portfolio in the industry and create an array of products aimed at specialized and niche markets.
+
+Today ACI has over 165 employees and a diversified product line that impacts a variety of industries. Their Stalker Radar brand includes products designed for law enforcement, traffic control, and OEM speed measurement, while their Stalker Sport line utilizes their technology in radar products designed for baseball, softball, tennis, acceleration measurement, and other sports.
+
+Headquartered in Richardson, Texas, ACI’s products are shipped to customers around the world. They have earned their reputation in the global marketplace due to their consistent accuracy, durability, and innovation.
+","Data Scientist Internship at Applied ConceptsImmediate Opening - Richardson, TXData Scientist Intern - Job OverviewApplied Concepts has been known for its outstanding law enforcement Radar & Lidar systems for over 47 years. We're based in Richardson, TX, less than 3 miles from the UTD campus. We're rapidly expanding our data science initiatives to harness the power of AI and machine learning in traffic and public safety applications. Our team is looking for a motivated Data Scientist intern to join us for January 2025 and beyond.We are hiring one intern (with flexible start dates); hours per week will be project-based and negotiable in advance. This internship requires occasional availability for scheduled onsite meetings, but is primarily a work-from-home position.The compensation for this internship is $20-$25 per hour, based on skill set and education level. (No relocation assistance is possible for out-of-area candidates).Data Scientist Intern - What You'll GainCareer-building experienceCompetitive compensation Rewards and recognition programsLearning and development opportunitiesCode reviews and mentoring from industry expertsConvenient office locationExcellent work/life balanceGreat culture and collaborative environmentPaid company holidays and floating holidaysPossible extended work opportunitiesA personalized recommendation letter from ACI's President upon successful completion of the internshipData Scientist Intern - How You'll Make An ImpactAs a Data Scientist Intern, you will work on real-world datasets collected from traffic enforcement and smart city systems. You will support the development of machine learning models for traffic forecasting, anomaly detection, and intelligent signal timing. You'll help the team create scalable pipelines, visualize results, and contribute to AI-based features that enhance public safety.UI Design Intern - What You'll Need To SucceedA Bachelor's or Master's degree in data science, computer science, engineering, or a related fieldProficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch. Strong understanding of statistical modeling and machine learning techniques. Experience working with structured and unstructured data. Good problem-solving and communication skills. Ability to explain technical concepts to non-technical stakeholders.Added Bonus If You Have Experience with SQL and database systems (MySQL or MS SQL). Exposure to time-series forecasting or anomaly detection techniques. Experience with tools like Apache Spark, Kafka, or Airflow. Familiarity with cloud platforms such as Azure, AWS, or GCP.  Experience with data visualization tools like Matplotlib, Seaborn, Plotly, or Power BI.Data Scientist Intern - What You'll Be Doing Analyze traffic sensor data to uncover patterns, trends, and anomalies. Build and validate ML models to improve forecasting accuracy and incident detection. Develop data visualizations and dashboards for internal use and city officials. Collaborate with software and data engineering teams to integrate ML solutions into production systems. Present findings and recommendations to stakeholders across departments.Who We AreApplied Concepts is a 47-year-old, 250-person privately owned company, located in Richardson, Texas. Founded in 1977 by an electrical engineer, we have a long history of profitable, organic growth. Our company remains entrepreneurial at heart, constantly re-inventing ourselves with new products and new markets, but still balanced with business prudence. We manufacture our own products, in our own facilities. Integrating our product development with our own manufacturing resources is a key part of our business culture, keeping us nimble and able to provide high quality products.What We DoWe focus on designing, manufacturing, and selling products that promote public safety. We are the number one supplier of speed enforcement products to law enforcement in the United States. Our employees take pride in the quality of our products and the service we provide in keeping our streets and neighborhoods safe. We offer a variety of engineering challenges, from microwave to high-speed lasers, to image capturing and processing, and LED traffic calming devices.To learn more about us and explore career opportunities, please visit: www.stalkerradar.comwww.streetdynamics.comwww.stalkersport.comOnly qualified candidates selected for an interview will be contacted. U.S. Citizenship or U.S. Permanent Resident (Green Card) required. Sorry, NO Sponsorship FOR U.S. VISAS (no H-1B, etc.). Only qualified candidates selected for an interview will be contacted.",Internship,Data Scientist Internship
+708,2025-04-02,Denver,Colorado,Ibotta,http://www.ibotta.com,"Built in Denver, CO, Ibotta (""I bought a..."") (NYSE: IBTA) is a performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale.
+
+Guided by our values and our mission to Make Every Purchase Rewarding, we come to work energized by the business problems we get to solve, the technology we build, the innovative people we work (and have fun) with, and the consumers we get to help. To date, we have credited American consumers $1.8 billion. The largest tech IPO to come out of Colorado, Ibotta is headquartered in Denver.
+
+Ibotta has been named as a Top Workplace by The Denver Post five times, made BuiltIn Colorado’s Best Places to Work list four years in a row and appeared on Inc.'s list of Best Workplaces in 2017 and 2023.
+","Ibotta is seeking a Data Scientist to join our Marketing Analytics team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data analyses, testing methodologies, and statistics to provide actionable insights to the Marketing Team.As a Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build trustworthy and robust datasets for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout.You’ll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team.This position is located in Denver, Colorado as a hybrid position requiring 3 days in office, (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.What you will be doing:Contribute to creating best practices for the teamInitiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modelingAnalyze large and novel datasets to extract actionable insights to inform model development and understand consumer behaviorProvide customized views of large and complex datasets to support data analysis and business decision-makingInform experimental design to formulate solutions addressing major business challenges and innovation opportunitiesBuild models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using techniques to measure and optimize model performanceHarden data pipelines and models for production deployment and monitoring of performance over timeEmbrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhereWhat we are looking for:2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experienceBachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferredA passion for driving important decisions using data and data storytellingA love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plusDemonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithmsDemonstrated Python and/or R skills. Spark or PySpark experience is a strong plusBroad and general statistical and mathematical knowledge and skillsExcellent analytical and problem solving skillsDemonstrated knowledge, skills, and abilities in database manipulation, query languages, and graph data schemasExposure to or interest in manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streamsExposure to or interest in MLOps a strong plusAbout Ibotta (""I bought a..."")Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, and 401k match. Denver office perks include paid parking, bagel Thursdays, snacks and occasional meals.Base compensation range: $100,000 - $115,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basis.For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.Recruiting Agency NoticeIbotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.#BI-Hybrid",Entry level,"Data Scientist,  Marketing Analytics"
+709,2025-04-09,McLean,Virginia,Bcore,https://www.bcore.com,"Bcore was founded out of the urgency to build secure tailored solutions to address our clients' top mission needs. We are trusted advisors in the areas of Visual Intelligence, Technical Solutions, and Cyber Security.  We tackle our clients'​ toughest challenges and strive to bring innovation to all aspects of their mission.  Innovation begins with the hearts and minds of the passionate individuals we have at Bcore. 
+
+Bcore specializes in providing high-quality, results-driven, talent among these core disciplines:
+
+Visual Intelligence
+Technical Solutions
+Cyber Security
+Collaboration Solutions
+Cloud Solutions
+Systems Engineering
+Software Engineering
+Program Management
+Strategic Planning
+User Experience Design
+Systems / Project Integration","McClean, VATS/SCI with PolyAt Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Our goal is not to simply support efforts, but to ignite a technology revolution, bridging the growing technology gap between the Government and commercial space.Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a Data Scientist in McClean, VA.This role requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The customer requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines.Take the Sponsor’s mission needs and convert those into technical milestones consistent with the Sponsor’s data science requirements.Develop and manage data processing ETL pipelines.Provide ad hoc trainings to Sponsor’s data users on custom tools and data exploitation consist stent with established use cases.Utilize software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches.Identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows.Identify existing or emerging data science workflows within the Sponsor’s broader office that would accelerate the Sponsor’s data science mission.Leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor’s technical goals for data management.Anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor’s direction.Required Qualifications Demonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar.Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows.Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries.Demonstrated experience with a range of Python packages and graph databases.Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity.Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages.Desired QualificationsDemonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production.Demonstrated experience leading complex data science teams.Demonstrated experience with machine learning solutions.Demonstrated experience working with foreign and domestic partners of the Sponsor.Demonstrated experience writing custom algorithms for data exploitation.Demonstrated experience with complex graph database queries.Demonstrated experience working in high operational tempo environments.BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.",Entry level,Data Scientist
+710,2025-04-02,San Jose,CA,Vectra AI,https://www.vectra.ai,"Vectra AI is the leader in AI driven extended detection and response (XDR). The Vectra AI Platform delivers integrated signal across network, identity, cloud, SaaS, and Gen AI in a single platform. Vectra AI’s patented Attack Signal Intelligence empowers security teams to rapidly detect, prioritize, investigate and stop the most advanced hybrid cyber-attacks. With 35 patents in AI-driven detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI Platform and MDR services to move at the speed and scale of hybrid attackers. For more information, visit vectra.ai. ","Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.Position OverviewHelp us build great software that protects our customers around the world from an ever-increasing number of cyber attacks!As part of the Application Data Platform team, Software Engineers will work directly on Vectra's platform to build or enhance features that help solve customer problems. The ADP team supports cloud-based data streaming applications, providing the runtime environment, data input and output, metrics and visibility to live applications and extensive developer tooling to application developers.The position requires 1-2 days a week in our Austin, Texas office, to boost in-person collaboration and team culture. We have periodic events going on at the office for extra fun!Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.Base salary is expected to be $120,000 to $130,000 based on applicant's experience; all Vectra employees are eligible for the company yearly bonus (if funded), incentive stock options, health insurance and other standard company benefits.ResponsibilitiesTo be able to work on high-impact software projects, you will need to:Be comfortable writing and shipping code on a daily basisContribute to automated testing and other parts of end-to-end software deliveryWork collaboratively in a team with other experienced engineers, product managers, and designersEvaluate and identify the correct approaches or technologies to use to solve problemsQualifications RequiredRecent BS, M.S or Ph.D. graduate (or graduating by Summer 2025) in Computer Science or Computer EngineeringStrong applied software development experience; you've built, broken, and fixed software applications in one or more industry internship experiencesExperience with an object oriented programming language and data structuresProficiency in Unix/Linux environmentsExperience with a source control system, preferably Git DesirableKnowledge of networking and security fundamentalsExperience with databases and data managementWorking knowledge of cloud environmentsPerformance tuning skillsOur competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate's location, experience and relevant incumbent pay position. Vectra Total Rewards$120,000—$130,000 USDVectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program.Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.",Entry level,Software Engineer
+711,2025-03-11,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+712,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Leading projects or small teams of people to help them unblock, advocating for ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapsCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Masters degree or PhD in Computer Science or another ML-related fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+713,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Senior Software Engineer with strong exposure to data to support the development of Machine learning models that leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. You will be working on creating large-scale data pipelines, continuous training / deployment, and enhancing our experimentation capabilities, as well as working along side both our Machine Learning modeling and infrastructure teams to help deliver ML features across Slack.At Slack, your impact can be huge:Here at Slack, we believe we can build terrific product experiences for our customers with ML + AI through letting users tap into their organizations’ collective knowledge. We have an opportunity to develop experiences that automate mundane tasks, efficiently find answers, and sift through the massive amount of information at a company to find what’s relevant for a particular worker. We’re investing in this area in a drive to make the work lives of the millions of knowledge workers who rely on slack day to day more productive and delightful.We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.We operate at significant scale and our new ML platform group has significant opportunity to help better deliver ML capabilities across Slack. Our platform group is responsible for supporting data ingestion and transformation, feature creation and management, as well as ensuring that we have robust experimentation capabilities both offline and online. We are looking for highly talented engineers to help deliver across these objectives.What you will be doing:Develop software across the ML ops stack (e.g., data ingestion / processing, management of ML models, expand experimentation capabilities, etc.)Brainstorm with ML, infrastructure, and product engineers to deliver highly efficient and robust capabilities around creating and delivering ML models.Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.Support in the creation and management of ML features.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Experience building big data processing pipelines with tools like Apache Spark, Hadoop, PySpark, SQL, etc.Experience orchestrating complex data ingestion and processing pipelines with tools like Airflow, Dagster, or Luigi.Have built large-scale, distributed, production ML/AI systems or other ML Ops systems professionally and can point to things you’ve worked on.An analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Led technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Sr. Software Engineer, ML Platform - Slack"
+714,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications Experience programming with at least one software programming language 3+ years of non-internship professional software development experience Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Hands-on experience with generative AI technologyPreferred Qualifications Bachelor's degree in computer science or equivalent Hands-on experience with at least one ML library or framework 1+ years of experience in developing, deploying or optimizing ML models. 2+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2918741",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center"
+715,2025-04-07,San Francisco,CA,Square,http://squareup.com,"Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
+
+So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next-generation shopper, increase order sizes, and compete at a larger scale.
+
+Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business and helping sellers worldwide do the same.
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+Square is part of Block, Inc. (NYSE: SQ), a global technology company with a focus on financial services.","Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.The RoleWe are seeking a highly motivated and experienced Staff Machine Learning Engineer with a specialization in Modeling to join our Go-To-Market (GTM) Expansion ML team at Square. Our team is dedicated to developing machine learning solutions that drive Square Seller growth by focusing on three key areas: Churn & Retention, Product Recommendations, and Customer Engagement Enrichment. The successful candidate will play a crucial role in shaping and executing our long-term strategy, enhancing seller retention, growth, and support. You will lead the development and maintenance of predictive models that power our GTM efforts and collaborate closely with stakeholders to align solutions with our campaigns and outreach strategies. As both a visionary leader and an executor, you will drive business and team growth.You WillDevelop and implement machine learning and deep learning models for churn risk assessment and product recommendations, analyzing seller activity across Square's ecosystem of payments, banking, and SaaS products.Design and build systems that utilize Generative AI, such as Large Language Models (LLMs), to address critical GTM and Customer Support business challenges and enhance interactions with Square sellers.Advocate for engineering best practices, and contribute to the upskilling of the team.Lead end-to-end cross-functional machine learning projects: build relationships with partner teams, frame problem statements, collect and analyze data, research and build prototypes, and productionize ML solutions by designing and developing their full pipelines.Set the standard for engineering quality, providing mentorship and technical guidance to the team.Collaborate with business leaders, subject matter experts, and decision-makers to establish success criteria and develop new ML & data products, features, and procedures.You Have8+ years of experience in ML software development.Strong understanding of and experience with the entire ML development lifecycle, including project setup, data pipelines, model training/serving, and monitoring.Proven track record of designing and maintaining production-level machine learning systems.Experience with large language models and generative AI.Expertise in recommendation systems and practical experience in developing and applying them.Strong grasp of computer science fundamentals.Proficient coding skills and comfort with coding in production systems.Commitment to writing clean and maintainable code.Interest in shaping the mission and roadmap of the team and rallying others to join you.Effective communication skills with both technical and non-technical audiences.Eagerness to share your own ideas and openness to considering those of others We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and ""fair chance"" ordinances.  Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.  Zone A:: $228,700 USD - $343,100 USDZone B: : $217,300 USD - $325,900 USDZone C:: $205,900 USD - $308,900 USDZone D:: $194,500 USD - $291,700 USD Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.Privacy Policy",Mid-Senior level,Staff Machine Learning Engineer - Expansion ML
+716,2025-04-02,Wilmington,Delaware,CSC,https://www.cscglobal.com,"CSC is the world’s leading provider of global business administration and compliance solutions, specialized administration services to alternative asset managers across a range of fund strategies, transactions involving capital markets participants in both public and private markets, domain name system management and digital brand and fraud protection, and corporate tax software solutions. We are the trusted partner of choice for more than 90% of the Fortune 500®, more than 90% of the 100 Best Global Brands®, and more than 70% of the PEI 300. Founded in 1899 and headquartered in Wilmington, Delaware, USA, CSC prides itself on being privately held and professionally managed for more than 120 years. CSC has office locations and capabilities in more than 140 jurisdictions across Europe, the Americas, Asia Pacific, and the Middle East. We are a global company capable of doing business wherever our clients are—and we accomplish that by employing experts in every business we serve. We are the business behind business®. ","Job DescriptionAI/ML Software EngineerBuffalo Grove, IL / Wilmington, DEMonday – Friday 8:00 am – 5:00 pm RemoteCandidates for this position must be eligible to work in the United States without sponsorship. Time on-site or time zone may be necessary based on business needs.OverviewAre you passionate about AI/ML and eager to apply your skills to solve real-world business problems? Do you thrive in a collaborative, innovative, and growth-focused environment? If so, we want you on our team!Join our innovative team in creating cutting-edge AI/ML solutions for Fortune 500 companies. As an AI/ML Software Engineer, you'll play a key role in designing, developing, and deploying scalable machine learning systems. You'll collaborate with industry experts and contribute to impactful projects that push the boundaries of AI applications.We believe in nurturing talent. You'll receive mentorship from senior engineers, engage in challenging projects, and have opportunities for growth. Join us in shaping the future of AI-driven solutions and making a real impact. If you're passionate about AI/ML and eager to grow, we'd love to hear from you!Some of the things you’ll be doing:Design, develop, and optimize AI/ML models for real-world applications. Implement and maintain scalable, cloud-based ML solutions. Collaborate with cross-functional teams, including engineers, researchers, QA, and product managers. Write clean, efficient, and well-documented code following best practices. Participate in code reviews and contribute to improving development standards. Stay up to date with the latest AI/ML research and emerging technologies. Optimize data pipelines, model deployment, and inference performance. Take ownership of projects, contribute to team success, and deliver business value. What technical skills, experience and qualifications do you need?Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. 1-3 years of software development experience, with a keen interest in AI/ML. Strong programming skills, particularly in Python and related tools. Strong proficiency with AI/ML frameworks (PyTorch, TensorFlow, Scikit-Learn, XGBoost, etc.). Solid understanding of machine learning concepts, algorithms, and best practices. Experience with cloud platforms (Azure, AWS, Google Cloud, etc.) and MLOps tools. Experience with web frameworks (FastAPI, Svelte, React, etc.). Experience with graph databases, knowledge graphs, and vector databases. Knowledge of data structures, algorithms, and object-oriented programming. Strong problem-solving skills and eagerness to learn. Excellent communication and teamwork skills. Self-motivated with a passion for AI/ML and software development. Nice-to-have Skills And ExperienceUnderstanding of microservices, containerization (Docker, Kubernetes), and CI/CD. Exposure to large-scale data processing frameworks (Dask, Spark, Ray, etc.). Experience in feature engineering, model explainability, and bias mitigation. Familiarity with deploying ML models in production environments. Knowledge of the Azure and Azure AI Foundry ecosystems. Experience working in an Agile environment #CSC #CSCCareers #TechJobs #CorporateTaxAbout UsCSC is a global business, legal, and financial services company based in Wilmington, Delaware, USA, providing knowledge-based solutions to clients worldwide. We have offices and capabilities in over 140 jurisdictions in the Americas, Europe, Asia Pacific, and the Middle East, and more than 8,000 colleagues. We are the business behind business.®Visit our careers site to learn more about CSC and our commitment to our clients, communities, and each other.CSC is committed to creating a feeling of belonging through a diverse and growth-oriented environment where everyone is valued.CSC colleagues have global career opportunities and excellent benefits, including annual success-sharing bonuses or commission plans based on individual performance. To learn more, visit cscglobal.com/service/careers .We offer a range of support to colleagues with disabilities, ensuring people have the necessary resources to thrive in their roles. We encourage candidates to work closely with our talent acquisition partners to convey their specific needs. Our commitment to accessibility reflects our broader dedication to diversity and belonging,CSC only accepts resumes from employment agencies that are part of our approved supplier program. Resumes submitted from other agencies either to talent acquisition, our hiring leaders, employees, or through any other mechanism other than our supplier process, will not be eligible to claim related fees and the submitted resumes will be considered property of CSC.We encourage candidates to apply directly to our website and not through third-party sources.Disclaimer: The information above describes the general nature and level of work performed by employees in this role. It is not intended to describe all duties, responsibilities, and qualifications.About The TeamAt CSC®, we’re always looking ahead, finding ways to improve and anticipate the future needs of our customers. Curiosity fuels our innovation and productivity drives our results. This proactive mindset has helped us adapt and create solutions that have enabled businesses to run smoother and smarter for more than 120 years.CSC is committed to attracting, developing, and retaining talented people whose personal values align with ours. We empower our employees to bring the right solutions to market to meet customer demand. That is why we are the premier provider of global solutions for more than 180,000 businesses.CSC is a great place to work with smart and dedicated people. We have been voted a Top Workplace every year since 2006 and are a 2022 National Top Workplace. We offer challenging work and career opportunities. Most positions are filled with internal moves and employee referrals. Employees are eligible for an annual success sharing bonus or commission plans based on role and individual performance. CSC offers excellent benefits, including medical, dental, life insurance, and flexible spending and health savings accounts. We also offer you a 401(k) with employer match and profit-sharing, paid time off, tuition reimbursement, and more.  As business needs allow, CSC offers hybrid/remote work schedules in alignment with local regulations. Specific details for this position will be discussed during the interview process. Our global standard for our work environments supports current and future technology initiatives through open design, sit-stand workstations, and digital interface points with wireless access throughout the campus. It’s an exciting time for us in terms of growth and expansion.",Entry level,AI/ML Software Engineer
+717,2025-03-14,Watertown,Massachusetts,Dyno Therapeutics,http://www.dynotx.com,Building high-performance genetic technologies that transform patient lives.,"The RoleSenior/Staff Machine Learning Engineer. As a Machine Learning Engineer at Dyno Therapeutics, you will work with Machine Learning researchers to advance modeling efforts and build scalable tools for machine learning and infrastructure. You will play a key role in driving the direction of ML research infrastructure, accelerating research with your expertise, and developing flexible, high-performance systems.Job Type: Full TimeLocation: Watertown, MA or NYC (may consider remote candidates)How You Will ContributeAs a Senior/Staff Machine Learning Engineer, you will accelerate research by collaborating on modeling efforts, building tools and data pipelines that improve the team’s efficiency, and driving the future direction of the ML infrastructure at Dyno.ResponsibilitiesCollaborate with ML scientists and engineers to understand their needs and translate them into effective tools and systems that accelerate ML research.Manage ML infrastructure, including configuring and maintaining GPU compute resources.Design, develop, and maintain scalable data pipelines for ML data from external (PDB, UniProt, etc.) and internal sources.Develop, deploy, and monitor deep learning models built primarily using PyTorch but potentially other frameworks (e.g. Jax).Work with SQL and NoSQL databases for efficient data retrieval, storage, and analysis.Conduct unit testing, code reviews, and follow software design principles to ensure high-quality code.Stay current with emerging ML techniques, tools, and trends, and apply them to improve systems and workflows.Basic Qualifications3+ years of post-graduate, full time work experience in industry.Strong foundation in software engineering with proficiency in programming languages such as Python.Experience building data systems to support machine learning, including data processing libraries such as Pandas and NumPy.Proficiency in SQL and NoSQL databases for data retrieval and storage.Experience deploying and developing deep learning models using frameworks like PyTorch, Jax, Keras, or Tensorflow.Familiarity with MLOps systems for training, monitoring, and evaluating ML models.Experience building cloud-native systems and infrastructure, with an understanding of the benefits of GPU compute.Alignment with Dyno’s core values.Preferred QualificationsExperience handling large datasets using platforms like Apache Spark or Hadoop.Experience managing GPU compute infrastructure.Previous experience in a machine learning and biology-focused company.The CompanyAt Dyno Therapeutics, we are a high-energy, high-impact team on a mission to build high-performance genetic technologies that transform patient lives. Our team unites world-class molecular biologists, protein engineers, software developers, data scientists, and machine learning experts—all working together at the intersection of AI and genetic medicine.Our culture is defined by three core values that guide everything we do:One Mission: Everything we do is for the mission. We are a cohesive and motivated team, thinking ahead and supporting one another to overcome challenges.Proactive Responsibility: We take action, inject energy into our work, and hold ourselves accountable for delivering results.Reaching for Excellence: We constantly strive for excellence, fueled by curiosity, adaptability, and the courage to speak hard truths in pursuit of success.These values are more than words—they drive our actions and decisions. Our greatest strength isn’t technology—it’s our work ethic. More than just technologists, we’re a team of relentlessly resourceful problem-solvers: with an unshakable drive we generate breakthroughs at the intersection of AI and genetic medicine.🚀 What You’ll GiveBring an unstoppable work ethic, stepping up when things get tough and adapting as priorities shift.Embrace challenges as opportunities, finding solutions where none exist and driving innovation forward.Operate with urgency, responsibility, and resilience, because this mission demands the best from us.🎯 What You’ll GetCompetitive compensation & equity—your contributions drive results, and we pay accordingly.Mission-aligned, high-trust environment—we succeed together, supporting each other through challenges.A career-defining experience—work at the forefront of AI-driven genetic medicine, tackling problems that reshape healthcare.If you’re ready to push boundaries, build the future, and thrive in a fast-moving, high-impact environment—we’d love to hear from you.Equal Employment Opportunity (EEO) StatementWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Fraud Alert: Please be aware of recruitment scams targeting job seekers. Dyno Therapeutics will never make an offer of employment without conducting a formal interview process, nor will we ask for personal information such as financial details over email. Official communication will only come from an @dynotx.com email address. If you are contacted by someone claiming to represent Dyno Therapeutics from any other domain, please report it as spam and report the communication to us at jobs@dynotx.com.",Mid-Senior level,Senior/Staff Machine Learning Engineer
+718,2025-04-04,Tokyo,,Takeda,https://www.takeda.com/,"We strive to transform lives. While the science we advance is constantly evolving, our core purpose is enduring. For more than two centuries, our values have guided us to do what’s right for patients and for society.
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+We know that changing lives requires us to do things differently. We start by listening to and addressing what really matters to patients, the people who love them, and those in the healthcare system who provide care. And that’s what inspires us all to be bold, push boundaries and set new standards that open up greater opportunities.
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+Read our community guidelines: https://takeda.info/communityguidelines","By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.Job Description:Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Development Center Americas, Inc. for the following job opportunityJOB LOCATION: Cambridge, MAPOSITION: Data ScientistPOSITION DESCRIPTION: Takeda Development Center Americas, Inc. is seeking a Data Scientist with the following duties Collaborate with cross-functional stakeholders to develop descriptive, prescriptive, and predictive analytics, generating actionable insights to address complex business problems in drug development and market access; translate unstructured business problems into scalable data models, algorithms, and analytical frameworks, leading innovation through the full data science and machine learning lifecycle, from data engineering to model deployment; leverage advanced statistical and machine learning techniques to design and deliver data-driven solutions using Python, and create impactful visualizations with Tableau/Power BI for enhanced clinical and commercial decision-making; manipulate and analyze large-scale, high dimensional structured and unstructured datasets from clinical trials, real-world evidence (RWE), and regulatory databases (e.g., FDA), utilizing SQL and performing version control and cloud-based deployment on platforms like AWS; demonstrate expertise with pharmaceutical and healthcare datasets, including real-world data (RWD), clinical trial data, and drug safety information, proactively seeking insights through independent research and collaboration with subject matter experts in medical affairs, regulatory, and clinical operations; ensure high quality delivery of data science projects by implementing robust methodologies, quality control measures, and continuous improvement of data governance practices aligned with regulatory standards in Life Sciences. Up to 20% domestic travel required. Up to 80% remote work allowed from anywhere in the U.S.REQUIREMENTS: Master’s degree in Computer Science, Information Systems, Math, Data Science in the Life Sciences Sector, or related field, plus 2 years of related experience. Prior experience must include collaborate with diverse stakeholders across functions to drive innovative solutions, transforming complex, unstructured business problems into data modeling and analytical strategies, and clearly communicating results and limitations; manipulate and analyze large, high-dimensional structured and unstructured datasets using query languages, managing code and version control with cloud computing infrastructure such as AWS; develop and implement data science projects across the lifecycle, using Python and visualization tools like Tableau and Power BI to create insightful analytics, along with descriptive, predictive, and prescriptive models in the Life Sciences sector; mentor and support colleagues, fostering the growth of the data science community, while building expertise in healthcare and pharmaceutical data through research with variety of datasets and tools like Komodo Health and Definitive Healthcare. Up to 20% travel required.Full time. $126,500 - $186,000 per year. Competitive compensation and benefits.Qualified applicants can apply at https //jobs.takeda.com. Please reference job # R0147941 . EOEAny individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.Locations:Boston, MAWorker Type:EmployeeWorker Sub-Type:RegularTime Type:Full time",Entry level,Data Scientist
+719,2025-04-09,Chantilly,VA,BlackSignal Technologies,http://blacksignal.tech/,"Delivering advanced signal processing and cyber capabilities to counter near peer adversaries of the United States.
+","Blue Ridge Envisioneering is seeking qualified candidates to fill Machine Learning Software Engineer positions at our headquarters in Chantilly, VA.You are the type of person who loves solving complex problems. Few things are more exciting than being faced with a new challenge, something that makes you approach it from a multitude of angles to figure out that perfect solution: one that’s elegant, optimized for its constraints, and can be tested and verified to assure performance and accuracy. Once it’s solved, you’re able to stand proudly by your work.We meet customer and mission needs by leveraging cutting edge research and technology, and using small teams to rapidly get them into the hands of the warfighter. Our machine learning efforts focus on signal processing, image processing, full-motion video, mission planning and data analytics.As an integral part of our team, you would work on one or more efforts at a time, and taking on all parts of the development process, from design, development, testing and deployment. Since we deal with specific customer needs, it will be necessary to learn a wide variety of domains, to the extent necessary to understand the problem, produce deep learning solutions, and see the efforts through to completion. No engineer at BRE just does one job!Background Bachelor’s or advanced degree in Computer Science or related discipline 2+ years of experience in machine learning network design software developmentRequired Core Qualifications Eligibility for TS/SCI clearance with Polygraph (U.S. Citizenship required for clearance). Active TS/SCI clearance strongly preferred Familiarity with current academic research in machine learning field Experience with one or more programming languages: C/C++, Python Practical experience with Keras, Tensorflow, TensorRT or other ML frameworks Code management with Git or other common tools Strong background in Linux environment and software developmentAdditional Skills & Experience Of Interest Background in Signal Processing or Image Processing GPU programming experience with CUDA Tools & Frameworks: X-Midas, OpenCV, MySQL, MongoDB, AWSBlacksignal Technologies, a Parsons company, is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.",Entry level,Machine Learning Software Engineer
+720,2025-03-12,Houston,,OptiSigns Inc.,https://www.optisigns.com/,"OptiSigns is a top-rated, cloud-based, simple but powerful solution for Digital Signage.  
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+Our software can turn any digital screen into a digital sign in minutes. Create, design, and schedule your content and manage all your screens remotely from a central dashboard that you can easily access from our desktop or mobile App. With 1000+ free templates, 160+ app integrations, and our built-in designer, creating powerful content and unique experiences for your brand has never been easier.
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+We have top-notch customer service and advanced features like analytics and AI. Our software is multilingual and supports payment in multi-currency. 
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+Join the 6,000+ companies that trust us today. ","Are you a talented engineer with passion to build beautiful, easy to use apps for users? Combine not only technical knowledge in Full-Stack JavaScript, Node.js, React.js but also your business acumen in learning and understanding how your apps add value to users. Join us to continue expanding our unique B2B SaaS app portfolios with already over 22,000 customers.About UsAt OptiSigns, we believe technology should be accessible and valuable to everyone, including non-technical users. Our mission is to create beautiful, user-friendly B2B SaaS applications that add real value to society. By helping businesses connect better with their customers and employees, we aim to drive revenue growth and enhance operational efficiency.Responsibilities:Work on the design and development of apps from concept to productionDevelop and maintain front-end components using modern JavaScript, TypeScript frameworks such as React.js or AngularImplement server-side logic and APIs using Node.js, Express.js, Nest.js or other back-end technologiesDesign and optimize database schemas and queries using relational and/or NoSQL databasesWrite clean, efficient, and maintainable code adhering to coding standards and best practicesCollaborate with product managers, designers, and other stakeholders to define and prioritize featuresStay up-to-date with emerging technologies and industry trends, and advocate for their adoption when appropriateRequirements1-3+ years of experience in full-stack web development, with a strong focus on both front-end and back-end technologiesProficiency in front-end frameworks such as React.js, AngularJSProficiency in back-end technologies such as Node.js, Express.js, Nest.jsExperience with database systems such as MySQL, PostgreSQL, MongoDB, or RedisStrong problem-solving and analytical skills, with a track record of delivering scalable and reliable solutionsExcellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teamsBenefitsDental insuranceFlexible scheduleHealth insuranceVision insurancePaid time off",Entry level,Jr. Software Engineer
+721,2025-04-01,London,,Attis,www.attisglobal.com,"Attis are an AI, Data & Software Executive Search & Recruitment company dedicated to connecting the Geospatial sector across the USA & UK with the talent they need to drive positive change.
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+Expertise in:
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+📡 EO & Remote Sensing
+🛰️ Space Operations
+🗺️ GIS and GEOINT
+📈 Climate & Weather 
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+With a combined 25 years’ experience recruiting in the sector, we understand that technology can be a powerful force for good, and believe that businesses striving to make this change deserve a talent partner who share in their mission.
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+This is why we founded Attis, with the purpose of “Positively Impacting People and Planet”.
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+In order to reach the people and causes that need it most, we are partnered with B1G1 as a Business for Good, which enables our business to create positive worldwide impacts for a better future.
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+If you’re someone looking to join a business where your work makes a genuine impact, or a business looking to hire the talent to drive your business forward on its mission, then we can help. 
+
+Do you want to make a bigger impact?
+Do you want to find out how we can help?
+
+Get in touch below:
+
+USA
+usa@attisglobal.com
+(+1) 917-672-3688
+
+UK
+uk@attisglobal.com
++44 (0)204 515 5959","Machine Learning/AI Engineer - Remote Sensing / GeospatialOverview: My client, an innovative technology-focused organization within the Built Environment sector, is seeking a talented and driven Machine Learning/AI Engineer. This is a unique opportunity to contribute to impactful projects focused on leveraging advanced analytics on spatial and visual data to generate critical insights for the industry. If you are passionate about applying cutting-edge AI/ML techniques to solve complex analytical challenges involving location-based and image-based information within the context of Built Environment, this could be the perfect role for you.Why Join?: Join a forward-thinking organization that is utilizing advanced analytical methods to understand and optimize various aspects of the Built Environment. You will be part of a collaborative and passionate team of professionals, working on projects that are at the forefront of applying AI to real-world scenarios involving spatial and visual understanding within this dynamic sector. This role offers the chance to engage in meaningful work that leverages advanced AI to extract knowledge from rich data sources relevant to the design, construction, and management of our physical surroundings.Compensation: Base salary between $180,000 - $200,000 depending on experience, plus further benefits.Location: This role offers a preference for candidates located in the Chicago, IL area, but is a remote position.The Role: As a Machine Learning/AI Engineer, you will be instrumental in developing and implementing AI models that focus on the analysis of spatial and visual data within the Built Environment. You will collaborate closely with product managers, data scientists, and other technical experts to design and deploy innovative AI-powered analytical solutions relevant to this sector. Your responsibilities will include evaluating and refining existing AI algorithms to ensure optimal performance in processing complex spatial and visual information, staying informed about the latest advancements in AI/ML relevant to these domains, and potentially contributing to the broader technical community.The Essential RequirementsBachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; advanced degree preferred.Proven experience working with remote sensing / imaging data. I.e. Optical (Hyperspectral/Multispectral) SAR, IR, RF, LiDAR, etc…Demonstrable experience in machine learning and AI, specifically in developing models for spatial data analysis and computer vision tasks.Strong proficiency in Python and relevant frameworks such as PyTorch, Keras, and TensorFlow.Experience working with Computer Vision and Vision-Language Models (VLM).Familiarity with cloud platforms such as AWS and GCP for AI workloads.Excellent problem-solving abilities and the capacity to work effectively both independently and within a team.If you are interested in this role, please apply with your resume through this site.DisclaimerAttis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.SEO Keywords for SearchMachine Learning Engineer Built Environment, AI Engineer Built Environment, Artificial Intelligence Engineer Built Environment, ML Engineer Built Environment, Computer Vision Engineer Built Environment, Spatial Data Analysis Built Environment, Geospatial Analysis Built Environment, Remote Machine Learning Engineer Built Environment, Chicago AI Engineer Built Environment, Location Data Analysis Built Environment, Image Analysis Engineer Built Environment, Large Language Models Engineer, VLM Engineer, Generative Models Engineer, Python Machine Learning, PyTorch Engineer, TensorFlow Engineer, Keras Engineer, AWS AI Engineer, GCP AI Engineer, Data Scientist with Spatial Data Built Environment, Data Scientist with Image Recognition Built Environment.",Mid-Senior level,Machine Learning/AI Engineer - Remote Sensing / Geospatial
+722,2025-04-02,San Francisco,California,Calm,http://www.calm.com,"Calm is the leading mental wellness brand with the #1 App for Sleep, Meditation and Relaxation™, designed to help you manage stress, sleep better and live a happier, healthier life. With hundreds of hours of original audio content available in seven languages, Calm supports users in more than 190 countries. Apple’s 2017 iPhone App of the Year and one of Fast Company’s Most Innovative Companies of 2020, Calm boasts over 100 million downloads to date, with more than 4 million paying members.  
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+As a corporate solution, the much-loved consumer app offers a 360-approach to mental fitness and resilience as an employee benefit, with Calm for Business.
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+Calm was co-founded by Alex Tew (Million Dollar Homepage) and Michael Acton Smith (Mind Candy, Moshi Monsters, Firebox).","About CalmCalm is on a mission to support everyone on every step of their mental health journey. With the #1 app for sleep, meditation and relaxation as well as a growing library of digital, evidence-based mental health programs, Calm offers trusted support for individuals and organizations alike. Our flagship consumer app provides personalized content and activities – featuring a range of experts and beloved celebrity voices – to help users manage stress, improve sleep and live mindfully. Our workplace and healthcare solutions offer a consumer-friendly approach to clinical content and HIPAA-compliant resources in order to drive positive health and business outcomes. Named a TIME100 Most Influential Company, Calm supports more than 150 million people and 3,500 organizations across seven languages and 190 countries.What We DoAs a data organization, we focus on making data a competitive advantage for Calm. We’re product-minded, team-oriented, and grounded in our mission of making the world a happier and healthier place. We work closely with teams across the company such as product, finance, marketing, data science, and more. As a team, we strive to always improve.What You’ll DoWe’re looking for someone who is comfortable with ambiguity, assesses what needs to be done, and delivers with the right balance of velocity and technical debt. As a Data Engineer, you’ll leverage all sorts of data, from application event streams to product databases to third-party data, to help stakeholders create products and answer business questions. Our stack spans AWS and GCP, with technologies like Airflow, Databricks, BigQuery, Postgres, and dbt. Specifically, you will:Work with business stakeholders to understand their goals, challenges, and decisionsAssist with building solutions that standardize our data approach to common problems across the companyIncorporate observability and testing best practices into projectsAssist in the development of processes to ensure our data is trusted and well-documentedEffectively work with data analysts on refining the data model used for reporting and analytical purposesImprove availability and consistency of data points crucial for analysisSome past projects include:Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and integration with reporting endpointsCreating a user-level feature store and related API endpoints to support machine learning tasks such as content recommendation and persona creationRemodeling a critical data pipeline to decrease our model count by 50% and reduce run time by 83%Integrate our Data Warehouse with 3rd party applications for personalization that reaches tens of millions of customersRevamping orchestration and execution to reduce critical data delivery times by 70%Skills And Qualifications (Who You Are)Demonstrated experience with the following languages/technologies/frameworks (or equivalents):PythonDockerKubernetesGCP and/or AWSRelational DBs / SQLData Warehouses and Lakes, such as Bigquery, Databricks, or SnowflakeExperience in designing and building data pipelines that scaleStrong communication skills, with the ability to convey technical solutions to both technical and non-technical stakeholdersExperience working effectively in a fast-paced, agile environment as part of a collaborative teamAbility to work independently and as part of a teamWillingness and enthusiasm to learn new technologies and tackle challenging problemsPragmatism: balancing scrappiness and rigorNice to HavesExperience building across cloudsExperience with streaming systems like SegmentKnowledge of different data modeling paradigms, e.g. relational, data vault, and medallionSome experience in Infrastructure as Code tools like TerraformMinimum RequirementsThis role typically requires 5+ years of related experienceCalm uses a geographic pay model that determines salaries based on the location where an employee lives. For this position, the base pay ranges across Calm’s pay tiers is $147,000 - $210,000. The base pay range represents the low and high end of Calm’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which include the successful candidate's geographic location, skills, experience and other qualifications. Calm uses employee zip code to determine which pay range applies. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off.Please note that Calm may leverage artificial intelligence technology in the application review process.Calm is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you require a reasonable accommodation to complete any part of the application or interview process, please contact Calm’s Recruiting team at recruitingaccommodations@calm.com. All accommodation requests will be handled confidentially and assessed on a case-by-case basis.We believe that mental health is health, and every person should be considered in the discussion. That’s why we’re proud to be an equal opportunity workplace, committed to providing equal employment opportunities to all applicants and employees regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.Calm is deeply committed to diversity, equity and inclusion. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination.Employment offers are contingent upon the successful completion of a background check. Roles which require access to certain types of information may also require the successful completion of a drug screening.FOR US BASED POSITIONS: Calm participates in e-verify. E-verify provides the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.Right to WorkE-Verify Participation",Mid-Senior level,Data Engineer
+723,2024-12-05,Mountain View,California,Moveworks,https://moveworks.ai/?utm_source=soc&utm_medium=li,"Moveworks unifies every business system with natural language, giving employees one place to go to find information, automate tasks, and be more productive, increasing employee efficiency and satisfaction by streamlining everyday tasks.
+
+Powered by a pioneering agentic AI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, Moveworks understands employee requests, devises intelligent plans, and executes actions to complete tasks across application boundaries in over 100 languages.
+
+More than 350 brands, such as Toyota, Spotify, GitHub, Marriott, Snowflake, Unity, Databricks, Broadcom, Hearst, and Palo Alto Networks, trust Moveworks to automate menial tasks and power a universal search interface across business applications.
+
+Learn more at moveworks.com.","What You Will DoWe are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. This role will be critical in building, optimizing and scaling end-to-end machine learning systems. The ML infra team covers a variety of responsibilities including distributed training and inference pipeline for large language models(LLM), model evaluation and monitoring framework, LLM latency optimization, etc. These frameworks serve as a strong foundation for our hundreds of ML and NLP models in production serving hundreds of millions of enterprise employees. We are solving many challenges on scalability of services as well as optimization of core algorithms.In this role you will work closely with our machine learning team, data infrastructure team and every core skill. Above all, your work will impact the way our customers experience AI. Put another way, this role is absolutely critical to the long term scalability of our core AI product and ultimately the company. You will be responsible for building and productionizing ML infrastructure that runs state of the art models. If you are looking for a high-impact, fast-moving role to take your work to the next level, we should have a conversation.Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.Build abstractions to automate various steps in different ML workflowsCollaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new featuresLeverage your experience to drive best practices in ML and data engineeringWhat You Bring To The Table2+ years of industry experience in Machine Learning, Infrastructure or related fieldsExperience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.Experience with building and scaling end-to-end machine learning systemsExperience building scalable micro services and ETL pipelinesExpertise in Python and experience with performant language such as C++ or GoLangBachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.A love of research publications in the machine learning and software engineering communitiesEffective communicator with experience collaborating cross-functionally with other teamsNice To HavesExperience with ML Inference optimization using TensorRT. Experience with distributed training frameworks such as Deepspeed.Experience in managing and scaling GPU Inference services via KubernetesBase salary compensation range: $129,000 - $275,000Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.Moveworks Is An Equal Opportunity EmployerMoveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.Who We AreMoveworks is the universal AI copilot for search and automation across all your business applications. We give employees one place to go to find information and get support while reducing costs for your business. The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them. It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees.The world’s most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminate repetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team. In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year. We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024!Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.Come join one of the most innovative teams on the planet!",Mid-Senior level,Senior Machine Learning Engineer - LLM
+724,2025-02-09,Fremont,California,PETADATA,http://petadatasoftware.com/,"PETADATA is an Information Technology & Services company that specializes in delivering technology solutions to meet the needs of our clients. PETADATA  maintains a fundamental commitment to excellence that is evident in everything we do. Our mission is to understand and meet the needs of both our clients and consultants by delivering quality, value-added solutions.
+
+PETADATA  is a leading provider of Information Technology services and business solutions. The company has international offices in America and, as well as offshore development centers in India. We provide services to large and mid-sized organizations in banking, financial services, insurance, retail, healthcare, manufacturing, and independent software vendors sectors.
+
+PETADATA  services include application development, support & maintenance, enterprise application implementation, integration, infrastructure management, and quality assurance & testing.
+
+Quality
+
+We consistently provide the right fit, high-quality services, and products that best match our clients'​ needs. We are highly sensitive to clients'​ goals, delivering on our promises and offering superior services for the life of the project and beyond.
+
+Honesty
+
+We follow honest and ethical business practices.
+
+Integrity
+
+We do what's right and follow through on our commitments. We are accountable for our actions and services.
+
+Teamwork
+
+We are motivated by results and value teamwork. We are committed to and truly care about our coworkers, clients, consultants, and strategic partners. 
+
+With a relentless focus on quality & processes, we have set international benchmarks in execution excellence that have translated into measurable business benefits for our customers. We offer our clients the advantages of:
+360-degree solution.
+
+https://www.petadatasoftware.com","Job Title: Machine Learning Engineer with Generative AILocation: Las Vegas, NV - REMOTEEXPERIENCE: 12+ YRSJob Type: W2/C2CPETADATA is currently hiring for the position of Machine Learning Engineer with Generative AI for one of their clients.Job OverviewWe seek a forward-thinking Machine Learning Engineer with a deep focus on Generative AI technologies within the Azure ecosystem. This pivotal role is dedicated to pioneering AI-driven solutions, mainly to deploy a state-of-the-art chatbot crafted through the Retrieval-Augmented Generation (RAG) technique to analyse and interpret customer reviews. The successful candidate will also craft an insightful analytical dashboard powered by Azure OpenAI. The successful candidate will be instrumental in harnessing the power of generative AI to revolutionize our customer interaction and data analysis methodologies.Core ResponsibilitiesGenerative AI Chatbot Development: Spearheaded the creation of an advanced chatbot utilizing the RAG methodology to deliver nuanced interactions based on customer reviews.Insightful Dashboard Engineering: Architect and develop an analytical dashboard, employing Azure OpenAI to unearth and present deep insights from complex datasets.Expertise in Prompt Engineering: Masterfully apply prompt engineering strategies to optimize the quality and relevance of generative AI outputs.Advanced Sentiment Analysis: Implement sophisticated sentiment analysis to deeply understand the emotional layers within customer feedback, refining the chatbot's empathetic engagement.Essential Technical ProficienciesAzure Generative AI Integration: Proven expertise in integrating and leveraging Azure cloud services, strongly emphasizing Azure Databricks and Azure OpenAI for generative AI applications.Proficient in Python and Spark: Exceptional skills in Python for AI development, complemented by expertise in using Spark for large-scale data processing and analytics.Foundation in Machine Learning and NLP: A robust foundation in machine learning principles and natural language processing, with a particular focus on generative AI technologies and techniques. Data Pipeline Design: Demonstrated ability to design and operationalize scalable data pipelines within Databricks, optimized for generative AI workflows.Desired AttributesA proven innovator in deploying generative AI to enhance customer interactions and analytical insightsCreative problem-solving abilities, capable of translating intricate customer needs into tangible, cutting-edge AI solutions.Exceptional analytical aptitude, meticulous attention to detail, and a commitment to excellence in all aspects of AI development and deployment.This oppotunity is designed for a visionary engineer eager to define the future of AI applications in customer service and analytics, pushing the envelope of what's possible with generative AI and machine learning technologies.Educational QualificationBachelor's/Master's degree in Computer Science, Engineering, or a related field.We offer a professional work environment and are given every opportunity to grow in the Information technology world.NoteCandidates must attend Phone, Video, or in-person interviews, and after the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.Please email your resume to anandinik@petadata.coAfter carefully reviewing your experience and skills, one of our HR team members will contact you to discuss the next steps.",Mid-Senior level,Machine Learning Engineer with Generative AI
+725,2025-02-09,Fremont,California,PETADATA,http://petadatasoftware.com/,"PETADATA is an Information Technology & Services company that specializes in delivering technology solutions to meet the needs of our clients. PETADATA  maintains a fundamental commitment to excellence that is evident in everything we do. Our mission is to understand and meet the needs of both our clients and consultants by delivering quality, value-added solutions.
+
+PETADATA  is a leading provider of Information Technology services and business solutions. The company has international offices in America and, as well as offshore development centers in India. We provide services to large and mid-sized organizations in banking, financial services, insurance, retail, healthcare, manufacturing, and independent software vendors sectors.
+
+PETADATA  services include application development, support & maintenance, enterprise application implementation, integration, infrastructure management, and quality assurance & testing.
+
+Quality
+
+We consistently provide the right fit, high-quality services, and products that best match our clients'​ needs. We are highly sensitive to clients'​ goals, delivering on our promises and offering superior services for the life of the project and beyond.
+
+Honesty
+
+We follow honest and ethical business practices.
+
+Integrity
+
+We do what's right and follow through on our commitments. We are accountable for our actions and services.
+
+Teamwork
+
+We are motivated by results and value teamwork. We are committed to and truly care about our coworkers, clients, consultants, and strategic partners. 
+
+With a relentless focus on quality & processes, we have set international benchmarks in execution excellence that have translated into measurable business benefits for our customers. We offer our clients the advantages of:
+360-degree solution.
+
+https://www.petadatasoftware.com","Job Title: Machine Learning Engineer with Generative AILocation: Las Vegas, NV - REMOTEEXPERIENCE: 12+ YRSJob Type: W2/C2CPETADATA is currently hiring for the position of Machine Learning Engineer with Generative AI for one of their clients.Job OverviewWe seek a forward-thinking Machine Learning Engineer with a deep focus on Generative AI technologies within the Azure ecosystem. This pivotal role is dedicated to pioneering AI-driven solutions, mainly to deploy a state-of-the-art chatbot crafted through the Retrieval-Augmented Generation (RAG) technique to analyse and interpret customer reviews. The successful candidate will also craft an insightful analytical dashboard powered by Azure OpenAI. The successful candidate will be instrumental in harnessing the power of generative AI to revolutionize our customer interaction and data analysis methodologies.Core ResponsibilitiesGenerative AI Chatbot Development: Spearheaded the creation of an advanced chatbot utilizing the RAG methodology to deliver nuanced interactions based on customer reviews.Insightful Dashboard Engineering: Architect and develop an analytical dashboard, employing Azure OpenAI to unearth and present deep insights from complex datasets.Expertise in Prompt Engineering: Masterfully apply prompt engineering strategies to optimize the quality and relevance of generative AI outputs.Advanced Sentiment Analysis: Implement sophisticated sentiment analysis to deeply understand the emotional layers within customer feedback, refining the chatbot's empathetic engagement.Essential Technical ProficienciesAzure Generative AI Integration: Proven expertise in integrating and leveraging Azure cloud services, strongly emphasizing Azure Databricks and Azure OpenAI for generative AI applications.Proficient in Python and Spark: Exceptional skills in Python for AI development, complemented by expertise in using Spark for large-scale data processing and analytics.Foundation in Machine Learning and NLP: A robust foundation in machine learning principles and natural language processing, with a particular focus on generative AI technologies and techniques. Data Pipeline Design: Demonstrated ability to design and operationalize scalable data pipelines within Databricks, optimized for generative AI workflows.Desired AttributesA proven innovator in deploying generative AI to enhance customer interactions and analytical insightsCreative problem-solving abilities, capable of translating intricate customer needs into tangible, cutting-edge AI solutions.Exceptional analytical aptitude, meticulous attention to detail, and a commitment to excellence in all aspects of AI development and deployment.This oppotunity is designed for a visionary engineer eager to define the future of AI applications in customer service and analytics, pushing the envelope of what's possible with generative AI and machine learning technologies.Educational QualificationBachelor's/Master's degree in Computer Science, Engineering, or a related field.We offer a professional work environment and are given every opportunity to grow in the Information technology world.NoteCandidates must attend Phone, Video, or in-person interviews, and after the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.Please email your resume to anandinik@petadata.coAfter carefully reviewing your experience and skills, one of our HR team members will contact you to discuss the next steps.",Mid-Senior level,Machine Learning Engineer with Generative AI
+726,2025-02-09,Fremont,California,PETADATA,http://petadatasoftware.com/,"PETADATA is an Information Technology & Services company that specializes in delivering technology solutions to meet the needs of our clients. PETADATA  maintains a fundamental commitment to excellence that is evident in everything we do. Our mission is to understand and meet the needs of both our clients and consultants by delivering quality, value-added solutions.
+
+PETADATA  is a leading provider of Information Technology services and business solutions. The company has international offices in America and, as well as offshore development centers in India. We provide services to large and mid-sized organizations in banking, financial services, insurance, retail, healthcare, manufacturing, and independent software vendors sectors.
+
+PETADATA  services include application development, support & maintenance, enterprise application implementation, integration, infrastructure management, and quality assurance & testing.
+
+Quality
+
+We consistently provide the right fit, high-quality services, and products that best match our clients'​ needs. We are highly sensitive to clients'​ goals, delivering on our promises and offering superior services for the life of the project and beyond.
+
+Honesty
+
+We follow honest and ethical business practices.
+
+Integrity
+
+We do what's right and follow through on our commitments. We are accountable for our actions and services.
+
+Teamwork
+
+We are motivated by results and value teamwork. We are committed to and truly care about our coworkers, clients, consultants, and strategic partners. 
+
+With a relentless focus on quality & processes, we have set international benchmarks in execution excellence that have translated into measurable business benefits for our customers. We offer our clients the advantages of:
+360-degree solution.
+
+https://www.petadatasoftware.com","Job Title: Machine Learning Engineer with Generative AILocation: Las Vegas, NV - REMOTEEXPERIENCE: 12+ YRSJob Type: W2/C2CPETADATA is currently hiring for the position of Machine Learning Engineer with Generative AI for one of their clients.Job OverviewWe seek a forward-thinking Machine Learning Engineer with a deep focus on Generative AI technologies within the Azure ecosystem. This pivotal role is dedicated to pioneering AI-driven solutions, mainly to deploy a state-of-the-art chatbot crafted through the Retrieval-Augmented Generation (RAG) technique to analyse and interpret customer reviews. The successful candidate will also craft an insightful analytical dashboard powered by Azure OpenAI. The successful candidate will be instrumental in harnessing the power of generative AI to revolutionize our customer interaction and data analysis methodologies.Core ResponsibilitiesGenerative AI Chatbot Development: Spearheaded the creation of an advanced chatbot utilizing the RAG methodology to deliver nuanced interactions based on customer reviews.Insightful Dashboard Engineering: Architect and develop an analytical dashboard, employing Azure OpenAI to unearth and present deep insights from complex datasets.Expertise in Prompt Engineering: Masterfully apply prompt engineering strategies to optimize the quality and relevance of generative AI outputs.Advanced Sentiment Analysis: Implement sophisticated sentiment analysis to deeply understand the emotional layers within customer feedback, refining the chatbot's empathetic engagement.Essential Technical ProficienciesAzure Generative AI Integration: Proven expertise in integrating and leveraging Azure cloud services, strongly emphasizing Azure Databricks and Azure OpenAI for generative AI applications.Proficient in Python and Spark: Exceptional skills in Python for AI development, complemented by expertise in using Spark for large-scale data processing and analytics.Foundation in Machine Learning and NLP: A robust foundation in machine learning principles and natural language processing, with a particular focus on generative AI technologies and techniques. Data Pipeline Design: Demonstrated ability to design and operationalize scalable data pipelines within Databricks, optimized for generative AI workflows.Desired AttributesA proven innovator in deploying generative AI to enhance customer interactions and analytical insightsCreative problem-solving abilities, capable of translating intricate customer needs into tangible, cutting-edge AI solutions.Exceptional analytical aptitude, meticulous attention to detail, and a commitment to excellence in all aspects of AI development and deployment.This oppotunity is designed for a visionary engineer eager to define the future of AI applications in customer service and analytics, pushing the envelope of what's possible with generative AI and machine learning technologies.Educational QualificationBachelor's/Master's degree in Computer Science, Engineering, or a related field.We offer a professional work environment and are given every opportunity to grow in the Information technology world.NoteCandidates must attend Phone, Video, or in-person interviews, and after the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.Please email your resume to anandinik@petadata.coAfter carefully reviewing your experience and skills, one of our HR team members will contact you to discuss the next steps.",Mid-Senior level,Machine Learning Engineer with Generative AI
+727,2025-02-09,Fremont,California,PETADATA,http://petadatasoftware.com/,"PETADATA is an Information Technology & Services company that specializes in delivering technology solutions to meet the needs of our clients. PETADATA  maintains a fundamental commitment to excellence that is evident in everything we do. Our mission is to understand and meet the needs of both our clients and consultants by delivering quality, value-added solutions.
+
+PETADATA  is a leading provider of Information Technology services and business solutions. The company has international offices in America and, as well as offshore development centers in India. We provide services to large and mid-sized organizations in banking, financial services, insurance, retail, healthcare, manufacturing, and independent software vendors sectors.
+
+PETADATA  services include application development, support & maintenance, enterprise application implementation, integration, infrastructure management, and quality assurance & testing.
+
+Quality
+
+We consistently provide the right fit, high-quality services, and products that best match our clients'​ needs. We are highly sensitive to clients'​ goals, delivering on our promises and offering superior services for the life of the project and beyond.
+
+Honesty
+
+We follow honest and ethical business practices.
+
+Integrity
+
+We do what's right and follow through on our commitments. We are accountable for our actions and services.
+
+Teamwork
+
+We are motivated by results and value teamwork. We are committed to and truly care about our coworkers, clients, consultants, and strategic partners. 
+
+With a relentless focus on quality & processes, we have set international benchmarks in execution excellence that have translated into measurable business benefits for our customers. We offer our clients the advantages of:
+360-degree solution.
+
+https://www.petadatasoftware.com","Job Title: Machine Learning Engineer with Generative AILocation: Las Vegas, NV - REMOTEEXPERIENCE: 12+ YRSJob Type: W2/C2CPETADATA is currently hiring for the position of Machine Learning Engineer with Generative AI for one of their clients.Job OverviewWe seek a forward-thinking Machine Learning Engineer with a deep focus on Generative AI technologies within the Azure ecosystem. This pivotal role is dedicated to pioneering AI-driven solutions, mainly to deploy a state-of-the-art chatbot crafted through the Retrieval-Augmented Generation (RAG) technique to analyse and interpret customer reviews. The successful candidate will also craft an insightful analytical dashboard powered by Azure OpenAI. The successful candidate will be instrumental in harnessing the power of generative AI to revolutionize our customer interaction and data analysis methodologies.Core ResponsibilitiesGenerative AI Chatbot Development: Spearheaded the creation of an advanced chatbot utilizing the RAG methodology to deliver nuanced interactions based on customer reviews.Insightful Dashboard Engineering: Architect and develop an analytical dashboard, employing Azure OpenAI to unearth and present deep insights from complex datasets.Expertise in Prompt Engineering: Masterfully apply prompt engineering strategies to optimize the quality and relevance of generative AI outputs.Advanced Sentiment Analysis: Implement sophisticated sentiment analysis to deeply understand the emotional layers within customer feedback, refining the chatbot's empathetic engagement.Essential Technical ProficienciesAzure Generative AI Integration: Proven expertise in integrating and leveraging Azure cloud services, strongly emphasizing Azure Databricks and Azure OpenAI for generative AI applications.Proficient in Python and Spark: Exceptional skills in Python for AI development, complemented by expertise in using Spark for large-scale data processing and analytics.Foundation in Machine Learning and NLP: A robust foundation in machine learning principles and natural language processing, with a particular focus on generative AI technologies and techniques. Data Pipeline Design: Demonstrated ability to design and operationalize scalable data pipelines within Databricks, optimized for generative AI workflows.Desired AttributesA proven innovator in deploying generative AI to enhance customer interactions and analytical insightsCreative problem-solving abilities, capable of translating intricate customer needs into tangible, cutting-edge AI solutions.Exceptional analytical aptitude, meticulous attention to detail, and a commitment to excellence in all aspects of AI development and deployment.This oppotunity is designed for a visionary engineer eager to define the future of AI applications in customer service and analytics, pushing the envelope of what's possible with generative AI and machine learning technologies.Educational QualificationBachelor's/Master's degree in Computer Science, Engineering, or a related field.We offer a professional work environment and are given every opportunity to grow in the Information technology world.NoteCandidates must attend Phone, Video, or in-person interviews, and after the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.Please email your resume to anandinik@petadata.coAfter carefully reviewing your experience and skills, one of our HR team members will contact you to discuss the next steps.",Mid-Senior level,Machine Learning Engineer with Generative AI
+728,2025-04-07,Remote First,,Coinbase,http://www.coinbase.com,"Founded in June of 2012, Coinbase is a digital currency wallet and platform where merchants and consumers can transact with new digital currencies like bitcoin, ethereum, and litecoin. Our vision is to bring more innovation, efficiency, and equality of opportunity to the world by building an open financial system. Our first step on that journey is making digital currency accessible and approachable for everyone. Two principles guide our efforts. First, be the most trusted company in our domain. Second, create user-focused products that are easier and more intuitive to use.","Ready to be pushed beyond what you think you’re capable of?At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. As a Senior Machine Learning Engineer at Coinbase, you will play a pivotal role in building an open financial system. This involves harnessing diverse and extensive data sources, including the blockchain, to grant millions of individuals access to cryptocurrency while simultaneously identifying and thwarting malicious entities. Your impact extends beyond safeguarding Coinbase, as you'll have the opportunity to employ machine learning to enhance the overall user experience. This includes imbuing intelligence into recommendations, risk assessment, chatbots, and various other aspects, making our product not only secure but also exceptionally user-friendly.What you’ll be doing (ie. job duties):Investigate and harness cutting-edge machine learning methodologies, including deep learning, Reinforcement Learning, and graph neural networks, to address diverse challenges throughout the company. These challenges encompass areas such as fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining.Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Coinbase, fostering a culture of widespread ML utilization.What we look for in you (ie. job requirements):5+ years of industry experience in MLMS degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical fieldStrong experience with at least one ML model: DNNs, GNNs, Reinforcement Learning, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. Solid working knowledge in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision.Experience building and deploying production ML systems at scale.Exhibit our core cultural values: positive energy, communicate clearly, be curious, and be a builder.Nice to haves:PhD degree strongly preferred with 3+ years of relevant experienceExperience with Python.Experience with data analysis and visualization.Job ID:  GPML05US*Answers to crypto-related questions may be used to evaluate your onchain experience  Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).Pay Range: : $186,065 USD - $218,900 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.Commitment to Equal OpportunityCoinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view the Know Your Rights notice here.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.      ",Mid-Senior level,Senior Machine Learning Engineer - (Platform)
+729,2025-03-27,Pittsburgh,PA,Howmet Aerospace,http://www.howmet.com,"Howmet Aerospace Inc., headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company’s primary businesses focus on jet engine components, aerospace fastening systems, and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. With nearly 1,150 granted and pending patents, the Company’s differentiated technologies enable lighter, more fuel-efficient aircraft to operate with a lower carbon footprint.","ResponsibilitiesHowmet Aerospace is hiring a Machine Learning Engineer with expertise in deep learning for computer vision to join our innovative Research and Development team. This role involves building cutting-edge computer vision applications and collaborating with cross-functional teams to support our casting, alloy, core, and rings facilities.Primary Responsibilities:Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO) to address complex computer vision challenges.Train and optimize generative models to accelerate development.Build and refine machine learning algorithms to enhance Howmet products across all business units.Construct, manipulate, and analyze large datasets using tools such as Python and SQL.Conduct statistical multi-factor analyses to uncover complex relationships and improve manufacturing processes.Present data-derived conclusions to a non-technical audience.Identify opportunities to optimize processes and implement continuous improvement tools using machine learning.Promote a data-driven culture across the organization by expanding machine learning applications and leading training initiatives.Collaborate with internal customers to validate trials, implement process enhancements, and integrate machine learning into production workflows.QualificationsMinimum Qualifications:A MS or PhD Degree from an accredited university in Data Science, Computer Science, Computer Engineering, Mathematics, Statistics, Analytics, or related.Minimum of 2 years of hands-on experience in deep learning for computer vision.Demonstrated success applying advanced statistical methods and machine learning algorithms to production/field data using Python. Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.Preferred Qualifications:Minimum of 5 years of professional experience in data science or machine learning.Strong statistical background with demonstrated expertise in analyzing industrial/manufacturing data.Familiarity with manufacturing or industrial plant environments and their unique challenges.Knowledge of software development life cycle (SDLC) Proficiency in visualization tools (e.g., Power BI)Comprehensive knowledge of advanced analytics and machine learning techniques.Exceptional verbal and written communication skills with the ability to convey complex ideas clearly.Strong organizational skills and the ability to work independently and in a cross-functional team environment.Why Join Us?Be at the forefront of innovation, applying machine learning to aerospace manufacturing.Collaborate with a supportive, cutting-edge team dedicated to solving challenging real-world problems.Access professional growth opportunities and a chance to directly impact Howmet Aerospace’s success.About UsHowmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $6.6 billion in revenue in 2023, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers’ success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2023 Environmental Social and Governance report at www.howmet.com/esg-report . Follow: LinkedIn , Twitter , Instagram , Facebook , and YouTube .Equal Opportunity Employer:Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.If you need assistance to complete your application due to a disability, please email TalentAcquisitionCoE_Howmet@howmet.comAbout The TeamThe Howmet engines business produces world-class aerospace engine components, including investment castings, fasteners, rings and forgings. Our vacuum melted superalloys, machining, performance coatings and hot isostatic pressing for high performance parts enable the next generation of quieter, cleaner and more fuel-efficient aerospace engines. Able to supply more than 90% of structural and rotating aerospace engine components.",Mid-Senior level,Machine Learning Engineer
+730,2025-04-04,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways.We’re looking for a Data Scientist to join Snap Inc.What you’ll do:Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisionsDrive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'Collaborate with product managers, engineers, product marketers, and designersKnowledge, Skills & Abilities:Expertise using data modeling skills to identify key product trends and new product opportunitiesAbility to design implement, and track core metrics to analyze the performance of our productsAbility to create visuals, dashboards, and reports to effectively communicate your insightsAbility to collaborate with engineers, product managers, and other cross-functional teamsAbility to initiate and drive projects to completion with minimal guidanceAn understanding of Snapchat with great product sense and product understandingMinimum Qualifications:BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience1+ years of experience in quantitative analysis & data science or a related fieldPreferred Qualifications:1+ years of experience using SQL or similar big data querying languages1+ years of experience with programming language, such as Python or R1+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniquesAdvanced degree in applied mathematics, statistics, actuarial science, economics or related fieldExperience in a product-focused role at a social media, online advertising, digital media and/or mobile technology companyExperience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research. If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $118,000-$176,000 annually.Zone B:The base salary range for this position is $112,000-$167,000 annually.Zone C:The base salary range for this position is $100,000-$150,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Data Scientist, 1+ Years of Experience"
+731,2025-03-25,London,England,Seer,www.seerrecruit.com,"At Seer, we offer bespoke talent solutions, specialising in placing professionals in emerging tech industries such as AI, Blockchain, Machine Learning, AI Research, Crypto, and Software Engineering. In a world where technology is constantly evolving, we are a recruitment brand that is adaptable and scalable, always keeping pace with change whilst remaining experts in our niche fields. 
+ 
+Our team of highly specialised recruiters upholds the highest standards and adapts to the constantly evolving tech landscape, ensuring we meet the unique needs of our clients and candidates. Trusted for our impactful approach, valuable insights, and seamless collaboration, we work in perfect synergy with our customers to deliver a smooth recruitment process time after time.
+ 
+To date, we have successfully placed hundreds of candidates, making a significant impact across various industries, and continuing to set the standard for excellence in talent acquisition. We pride ourselves on building long-lasting relationships with both clients and candidates, understanding that the key to success lies in a deep understanding of their goals and needs. Whether you’re looking for top-tier talent or seeking new career opportunities, Seer is your trusted partner in navigating the ever-evolving technology landscape.
+ 
+Visions of the Future, Talent for Today.","Seer are currently partnered with a Drug Discovery Business based in New York City.As the business continues to implement Machine Learning, they are seeking to add to their established ML team.Experience required:Extensive experience in Machine Learning.Extensive experience in Deep Learning techniques :: Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Deep Reinforcement Learning).Programming experience in Python or other backend languages.Experience using ML within either :: Biophysics, Biochemistry, Structural Biology, Drug Discovery, Cheminformatics or Quantum chemistry.Job Responsibilities:Contribute to the advanced development of models tailored for drug discovery and scientific applications.Build and implement machine learning models, particularly LLMs, in production settings, collaborating with engineers to ensure scalability and robustness.Tackle key research engineering challenges, focusing on designing, implementing, and scaling machine learning algorithms.If you'd be interested in this position, please send your CV to dking@teem-seer.com",Mid-Senior level,Senior Machine Learning Engineer
+732,2025-03-08,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced Front end Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team that’s working to help people connect with each other around the globe. Join us!Software Engineer, Front End Responsibilities:Lead complex technical or product efforts involving many engineersProvide technical guidance and mentorship to peersImplement the features and user interfaces of Facebook products like News FeedArchitect efficient and reusable front-end systems that drive complex web applicationsCollaborate with Product Designers, Product Managers, and Software Engineers to deliver compelling user-facing productsIdentify and resolve performance and scalability issuesMinimum Qualifications:6+ years of JavaScript experience, including concepts like asynchronous programming, closures, types, and ES65+ years of HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibilityExperience with browser APIs and optimizing front end performanceExperience building maintainable and testable code bases, including API design and unit testing techniquesDemonstrated experience driving change within an organization and leading complex technical projectsCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Shipped at least one large-scale product to production, supporting millions of active usersAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Front End"
+733,2025-03-31,Ellicott City,Maryland,"Independent Software, Inc.",https://independentsoftware.com,"Independent Software supports our customers by providing next-generation cyber services, intelligence and all-source analytics, machine learning, and mission application development. In addition to our service-based efforts, we also offer innovative IT and cyber products to solve our customers’ most complex challenges. We are a Woman-Owned Small Business committed to hiring veterans and supporting our national defense missions.
+
+We are driven to perform for our clients, protect our professional staff, and improve shareholder value. Employee and client satisfaction are key metrics for our corporate management team. Maintaining positive relationships with all our industry partners has delivered impressive business results. Our Mission and Vision statements speak to these values.
+
+Mission Statement:
+Independent Software is dedicated to ensuring national security and supporting our customers through quality intelligence products and highly skilled personnel that enable a diverse set of federal and commercial missions. A large percentage of our employees are veterans, so we understand the importance of providing timely, effective, and actionable intelligence and tools to the warfighter. Our personnel have embodied our focused, mission-first approach to supporting national security missions in dynamic environments since 2005.
+
+Independent Software is built on five core values which, when taken together, guide us to continuously maintain our focus and achieve our vision - 1) Customer Success, 2) Employee Success, 3) Technical Excellence, 4) Fiscal Responsibility, and 5) Social Awareness.
+
+We engage our core competencies to meet customer mission challenges in - 1) Enterprise Software Engineering, 2) Offensive and Defensive Cyber Services, 3) Data Science and Decision-Making Analytics, and 4) All-Source Analytics.
+
+Join Our Team
+https://independentsoftware.com/careers/
+
+Like us on Facebook: www.facebook.com/independentsoftwareinc
+Follow us on Twitter: @IndependentSoft","What you will be doing!As a Data Scientist, Level 2, your role is pivotal. Your Python expertise and experience in automating workflows, data manipulation, and visualization using Jupyter Notebooks will be crucial in our data-driven decision-making processes. You will be instrumental in streamlining processes and creating insightful visualizations.Job Description / RequirementsEmploy some combination (2 or more) of the following skill areas:Foundations: Mathematical, Computational, Statistical Data Processing: Data management and curation, data description and visualization, workflow and reproducibility Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration. Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Education and Experience: Bachelor’s Degree with 10 years of relevant experienceAssociates degree with 12 years of relevant experienceBachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming,, data structures, data mining, artificial intelligence). College-level requirements or upper-level math courses designated as elementary or basic do not count. A broader range of degrees will be considered if they are accompanied by a Certificate in Data Science from an accredited college or university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Clearance Required: Must possess an active TS/SCI with Full Scope Polygraph security clearance to be considered for this role Independent Software is an Equal Opportunity Employer EOE, M/F/D/V.",Entry level,"Data Scientist, Level 2"
+734,2025-03-30,South San Francisco,California,Stripe,https://stripe.com,"Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.","Who we areAbout StripeStripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career..About The TeamStripe's Applied ML organization is excited to offer new grad PhD machine learning engineering positions for 2025. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.You will tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.What you’ll doResponsibilitiesDevelop and deploy large-scale machine learning systems that drive significant business value across various domains.Engage in the end-to-end process of designing, training, improving, and launching machine learning models.Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.Who you areMinimum RequirementsA deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2024 or spring/summer 2025.Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn.Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders.A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently.Preferred QualificationsTwo years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning.Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects.Familiarity with navigating new codebases and managing work across different programming languages.Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences.Application requirementsPlease Submit The Following With Your ApplicationA description of your work history (either a resume, LinkedIn Profile, website, or other portfolio of work)Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios.Hybrid work at StripeOffice-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.Pay and benefitsThe annual US base salary range for this role is $173,100 - $270,000. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.",Entry level,"PhD Machine Learning Engineer, New Grad"
+735,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity.What You'll Do Participate in the development of a large-scale Ads system. Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the TikTok ads monetization ecosystem. Work with product and business teams on product vision.Qualifications BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. 2+ years of experience in and good theoretical grounding in machine learning concepts and techniques. Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python. Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc Ability to think critically and to formulate solutions to problems in a clear and concise way. Preferred experience: ads system, recommendation, searching, ranking, etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Monetization Technology/Ads Engineering (General Hire)"
+736,2025-03-28,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","We are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. You will be part of our efforts to architect, design and implement a clean slate compiler for this activity and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts. You will contribute to a full stack development effort compiling PyTorch models down to binaries for custom hardware accelerator blocks.Software Engineer, Systems ML - Compilers Responsibilities:Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators.Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance.Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools.Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.Analyze and improve the efficiency, scalability, and stability of our toolchains.Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.2+ years experience developing compilers, runtime, or similar code optimization software.Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis.Experience in AI framework development or accelerating models on hardware architectures.Preferred Qualifications:Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow.Experience with machine-code generation or compiler back-ends.Experience working and communicating cross functionally in a team environment.Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Systems ML - Compilers"
+737,2025-04-09,McLean,Virginia,Bcore,https://www.bcore.com,"Bcore was founded out of the urgency to build secure tailored solutions to address our clients' top mission needs. We are trusted advisors in the areas of Visual Intelligence, Technical Solutions, and Cyber Security.  We tackle our clients'​ toughest challenges and strive to bring innovation to all aspects of their mission.  Innovation begins with the hearts and minds of the passionate individuals we have at Bcore. 
+
+Bcore specializes in providing high-quality, results-driven, talent among these core disciplines:
+
+Visual Intelligence
+Technical Solutions
+Cyber Security
+Collaboration Solutions
+Cloud Solutions
+Systems Engineering
+Software Engineering
+Program Management
+Strategic Planning
+User Experience Design
+Systems / Project Integration","McClean, VATS/SCI with PolyAt Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Our goal is not to simply support efforts, but to ignite a technology revolution, bridging the growing technology gap between the Government and commercial space.Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a Data Scientist in McClean, VA.This role requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The customer requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines.Take the Sponsor’s mission needs and convert those into technical milestones consistent with the Sponsor’s data science requirements.Develop and manage data processing ETL pipelines.Provide ad hoc trainings to Sponsor’s data users on custom tools and data exploitation consist stent with established use cases.Utilize software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches.Identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows.Identify existing or emerging data science workflows within the Sponsor’s broader office that would accelerate the Sponsor’s data science mission.Leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor’s technical goals for data management.Anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor’s direction.Required Qualifications Demonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar.Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows.Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries.Demonstrated experience with a range of Python packages and graph databases.Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity.Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages.Desired QualificationsDemonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production.Demonstrated experience leading complex data science teams.Demonstrated experience with machine learning solutions.Demonstrated experience working with foreign and domestic partners of the Sponsor.Demonstrated experience writing custom algorithms for data exploitation.Demonstrated experience with complex graph database queries.Demonstrated experience working in high operational tempo environments.BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.",Entry level,Data Scientist
+738,2025-04-07,Atlanta,GA,Corps Team,http://www.corpsteam.com,"Corps Team is a nationwide, Professional Recruiting, IT Recruiting and Executive Search Firm. Since 2005, we have partnered with Founders, CEOs, and hiring managers to recruit exceptional direct hire, project based and contract talent into their organizations.
+
+Corps Team began in 2005 as Mom Corps, a firm dedicated to helping Atlanta area moms get back to work after taking a break from the workforce. Since then, the company has expanded to encompass a wide range of recruitment solutions and nationwide reach. Offering flexible workforce solutions, we strive to be true partners.
+
+Corps Team is a woman-owned executive search and staffing firm, headquartered in Atlanta, GA and serving clients nationwide. We are WBENC (249301) and WOSB (W090151) certified. An industry leader since 2005, Corps Team helps companies build their teams with highly skilled, hard-to-find professionals.
+
+Learn more at www.corpsteam.com","Our client, a startup cybersecurity firm focused on serving the real estate industry is looking for a Machine Learning Engineer to join their growing team. This role can either be remote based anywhere in the United States, or hybrid in Atlanta, GA.Seeking a highly skilled and motivated Machine Learning (ML) Engineer with 2-3 years of experience to join their team and help lead core initiatives for machine learning at the company. The ideal candidate has proven experience building and deploying ML applications at scale, expertise in Computer Vision + Image Processing, and a solid understanding of data security and predictive analytics.Key ResponsibilitiesLead the design, development, and maintenance of ML applications at scaleEnsure scalability, performance, and efficiency of ML applicationsDesign and implement advanced Computer Vision techniques for similarity, feature extraction, classification, and object detection.Collaborate with cross-functional teams to identify and implement ML solutions for business problemsDevelop and implement best practices for ML model development, deployment, and monitoringStay current with the latest advancements in ML and AI, and integrate new technologies when appropriateRequired Qualifications2-3 years of experience deploying and maintaining machine learning applications at scale (ML Ops)Proven ability to scale products and manage real-time workloadsBachelor's or Master's degree in Computer Science, Data Science, or a related fieldStrong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learnFamiliarity with cloud platforms, particularly AWS, and containerization technologies like DockerExperience with predictive analytics and implementing forecasting modelsExcellent problem-solving skills and attention to detailPreferred QualificationsFamiliarity with cybersecurity concepts and fraud detection techniquesExperience working in a startup environmentContributions to open-source ML projectsBase Salary $140,000-$180,000. Final determination of salary will be based on an evaluation of experience, education, budget, etc.",Associate,Machine Learning Engineer
+739,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Level 5"
+740,2025-04-04,Knoxville,TN,Tombras,http://www.tombras.com,"Tombras is a 450+ person, full-service agency with a digital mindset. We are one of the top independent agencies in North America. We are united by our philosophy: Connecting Data & Creativity for Business Results.®
+
+
+2023 AdAge A-List Standout 
+2022 ADWEEK US Agency of the Year (Finalist)
+2021 Fast Company World Changing Ideas
+
+
+Clients include Orangetheory Fitness, MoonPie, BUSH's Beans, Rolls-Royce, Pernod Ricard, Frito-Lay, Zaxby's
+
+
+
+","Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided.The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing:Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the resultsDevelop the framework and approach for marketing science and develop bespoke offeringsEmploy best in class tooling to develop proprietary Martech in partnership with the Technology and Media practicesIdentify new and innovative data sets that can be used to improve existing modeling work, or deliver net new modelsClearly articulate statistical results to clients, ultimately leading to continued client engagement and implementationWhat you bring:M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research(Optional) Experience in marketing science or advertising analyticsMastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice ModelsStrong competency with python, R, SQL, and other commonly used statistical toolsClient services mindsetAbility to influence clients and partner agencies to act on insightsAbility to distill complicated information into succinct graphical presentations for senior stakeholdersWhy Join Tombras Analytics?Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.Why you’ll want to work at Tombras:You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You’ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.Tombras Benefits:Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly officesUnlimited PTOGenerous parental leave for primary and non-primary caregivers.Medical (PPO or High Deductible option) for employee + dependents401(k) ParticipationEmployer-paid Dental & VisionA company culture of promotions from within and an atmosphere allowing for varied and rapid career development.New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values.Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.Tombras is an E-Verify employer and participates in the E-Verify program.This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.",Not Applicable,Data Scientist
+741,2025-04-09,McLean,Virginia,Dexian,http://www.dexian.com,"Dexian is a leading provider of staffing, IT, and workforce solutions with nearly 12,000 employees and 70 locations worldwide. As one of the largest IT and professional staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was launched in 2023 and created from the combination of DISYS, Signature Consultants, and other strategic acquisitions.
+
+Dexian fuses the best elements of its legacy companies to create a platform that connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.
+
+Dexian’s brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit www.dexian.com to learn more.
+","Job Title: AI/ML Engineer / Data ScientistLocation: Jersey City, NJ [OR] McLean, VA [OR] Boston, MA ( Choose Any 1 )Hybrid: 3 days Onsite & 2 days REMOTEDuration: 8 Months (CONTRACT TO HIRE)Pay Range: $70 - $75/hr Description:Looking for a hands-on AI/ML Engineer to join our dynamic Technology Research and Innovation team, where you'll play a pivotal role in spearheading AI initiatives and innovation.As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement. Skills & Experience Needed:  6+ years of experience in Machine Learning and Data Science.Hands on experience with writing code, machine learning technologies, API development/Python, Pandas, NumPyExperience in Generative AI (RAG/ Agentic AI apps)Strong programming skills in PythonExperience working with large datasets and performing data analysis.Experience with Machine Learning, Data Visualization, and Generative AI libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain).Experience in Prompt Engineering, LLM Fine Tuning, and evaluation techniquesProven experience in developing and deploying machine learning models in a production environment.Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic AI Workflow, Statistical methods, data structures, and algorithms.Experience with Snowflake Data Pipelines (stream, task, UDF) and Cortex features is a plusExperience with AWS Sage Maker, Bedrock, and AWS cloud platform for deploying AI solutions.Experience in building Asynchronous Python APIs for model inferencing.Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.Previous experience in a similar role or industry is preferred.Passion for learning and staying up-to-date with the latest advancements in AI fieldExcellent communication and collaboration skills. Strong problem-solving skills and analytical thinking Responsibilities: Python API Development:Develop scalable APIs in Python (fastApi, Apache, Gunicorn, Uvicorn) for model inferencingGenerative AI Application DevelopmentDevelop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.Model Development and DeploymentDesign and develop machine learning models and algorithms to address business challenges and improve product features.Deploy machine learning models in production environments to ensure scalability and efficiency.Optimize and refine models based on performance metrics and feedback.Data ManagementCollect, clean, and preprocess data from various sources to create robust datasets for training and evaluation.Implement data augmentation and feature engineering techniques to enhance model performance.Maintain and manage data pipelines to ensure seamless data flow and integration.Research and InnovationStay updated with the latest trends and advancements in AI and machine learning technologies.Conduct research to explore new methodologies and techniques that can be applied to current and future projects.Collaborate with cross-functional teams to drive innovation and implement cutting-edge solutions.Collaboration and CommunicationWork closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals.Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.Desired Skills and ExperienceMachine learning, Data Science, AI, ML, Python, GenAI, Generative AI, Large Language Models, LLMs, TensorFlow, Python, NLPDexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.",Mid-Senior level,AI / ML Engineer / Data Scientist
+742,2025-02-01,Wimbledon,London,Harnham,http://www.harnham.com,"Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com 
+
+Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. 
+
+Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.
+
+Our five core services:
+
+* ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a 
+
+* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
+
+* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
+
+* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
+
+* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.","Job Description: Join an AI-native biotechnology company at the forefront of transforming cancer treatment and systems biology. This role offers the chance to work in a nimble, innovative environment with a highly technical interdisciplinary team. You will design and build systems for scalable, distributed training and inference of machine learning models, specifically custom vision transformers developed in-house. Collaborating with the ML and Engineering teams, you'll optimize systems for research iteration and scaling while solving complex, impactful challenges.Key Responsibilities:Design and build systems for distributed training and inference of custom ML models.Collaborate with ML and Engineering teams to develop and scale ML platforms.Optimize data loaders and model architectures for performance.Develop solutions for scalable model result analysis.Qualifications:2+ years of experience in building systems for distributed ML training and inference (using GPUs, AWS, etc.).Strong proficiency with PyTorch and experience in ML model and data loader development.Familiarity with modern frameworks like Ray, PyTorch Lightning, and Huggingface Accelerate.Problem-solving mindset with an adaptable and collaborative approach.Perks:Remote-first computational work with opportunities for travel to San Francisco.Onsite lunch, sponsored travel, and offsite summits.Generous health, dental, and vision insurance; flexible time off; parental leave; and more.This is an exciting opportunity to make an impact in the biotech industry and contribute to groundbreaking therapies.",Entry level,Machine Learning Engineer
+743,2025-04-06,,,"Applied Concepts, Inc.",https://www.stalkerradar.com/,"Applied Concepts, Inc., (d.b.a. Stalker Radar) began as a small contract engineering and manufacturing business in 1975. In the years that followed, ACI applied its engineering and manufacturing expertise to develop the largest patent portfolio in the industry and create an array of products aimed at specialized and niche markets.
+
+Today ACI has over 165 employees and a diversified product line that impacts a variety of industries. Their Stalker Radar brand includes products designed for law enforcement, traffic control, and OEM speed measurement, while their Stalker Sport line utilizes their technology in radar products designed for baseball, softball, tennis, acceleration measurement, and other sports.
+
+Headquartered in Richardson, Texas, ACI’s products are shipped to customers around the world. They have earned their reputation in the global marketplace due to their consistent accuracy, durability, and innovation.
+","Data Scientist Internship at Applied ConceptsImmediate Opening - Richardson, TXData Scientist Intern - Job OverviewApplied Concepts has been known for its outstanding law enforcement Radar & Lidar systems for over 47 years. We're based in Richardson, TX, less than 3 miles from the UTD campus. We're rapidly expanding our data science initiatives to harness the power of AI and machine learning in traffic and public safety applications. Our team is looking for a motivated Data Scientist intern to join us for January 2025 and beyond.We are hiring one intern (with flexible start dates); hours per week will be project-based and negotiable in advance. This internship requires occasional availability for scheduled onsite meetings, but is primarily a work-from-home position.The compensation for this internship is $20-$25 per hour, based on skill set and education level. (No relocation assistance is possible for out-of-area candidates).Data Scientist Intern - What You'll GainCareer-building experienceCompetitive compensation Rewards and recognition programsLearning and development opportunitiesCode reviews and mentoring from industry expertsConvenient office locationExcellent work/life balanceGreat culture and collaborative environmentPaid company holidays and floating holidaysPossible extended work opportunitiesA personalized recommendation letter from ACI's President upon successful completion of the internshipData Scientist Intern - How You'll Make An ImpactAs a Data Scientist Intern, you will work on real-world datasets collected from traffic enforcement and smart city systems. You will support the development of machine learning models for traffic forecasting, anomaly detection, and intelligent signal timing. You'll help the team create scalable pipelines, visualize results, and contribute to AI-based features that enhance public safety.UI Design Intern - What You'll Need To SucceedA Bachelor's or Master's degree in data science, computer science, engineering, or a related fieldProficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch. Strong understanding of statistical modeling and machine learning techniques. Experience working with structured and unstructured data. Good problem-solving and communication skills. Ability to explain technical concepts to non-technical stakeholders.Added Bonus If You Have Experience with SQL and database systems (MySQL or MS SQL). Exposure to time-series forecasting or anomaly detection techniques. Experience with tools like Apache Spark, Kafka, or Airflow. Familiarity with cloud platforms such as Azure, AWS, or GCP.  Experience with data visualization tools like Matplotlib, Seaborn, Plotly, or Power BI.Data Scientist Intern - What You'll Be Doing Analyze traffic sensor data to uncover patterns, trends, and anomalies. Build and validate ML models to improve forecasting accuracy and incident detection. Develop data visualizations and dashboards for internal use and city officials. Collaborate with software and data engineering teams to integrate ML solutions into production systems. Present findings and recommendations to stakeholders across departments.Who We AreApplied Concepts is a 47-year-old, 250-person privately owned company, located in Richardson, Texas. Founded in 1977 by an electrical engineer, we have a long history of profitable, organic growth. Our company remains entrepreneurial at heart, constantly re-inventing ourselves with new products and new markets, but still balanced with business prudence. We manufacture our own products, in our own facilities. Integrating our product development with our own manufacturing resources is a key part of our business culture, keeping us nimble and able to provide high quality products.What We DoWe focus on designing, manufacturing, and selling products that promote public safety. We are the number one supplier of speed enforcement products to law enforcement in the United States. Our employees take pride in the quality of our products and the service we provide in keeping our streets and neighborhoods safe. We offer a variety of engineering challenges, from microwave to high-speed lasers, to image capturing and processing, and LED traffic calming devices.To learn more about us and explore career opportunities, please visit: www.stalkerradar.comwww.streetdynamics.comwww.stalkersport.comOnly qualified candidates selected for an interview will be contacted. U.S. Citizenship or U.S. Permanent Resident (Green Card) required. Sorry, NO Sponsorship FOR U.S. VISAS (no H-1B, etc.). Only qualified candidates selected for an interview will be contacted.",Internship,Data Scientist Internship
+744,2025-03-21,New York,NY,Onix,http://www.onixnet.com,"Onix is a trusted cloud consulting company that helps businesses get the most out of their technology with innovative, cloud-powered solutions and services. From data analytics and modernization to security and AI/ML solutions, we’re able to deliver tailored solutions and exceptional results for our customers because of our 20+ year strategic partnerships in the cloud, our dedication to customer success, and depth of technology expertise. Our global team of cloud experts are the most reliable, talented and knowledgeable in the industry. 
+","About: Onix is a leading cloud consulting company that helps customers get the most out of their technology with innovative, cloud-powered solutions and best-in-class services. We offer cloud solutions across various use cases and industries, from migration to advanced analytics to innovative AI solutions. With our global team of accomplished cloud experts, we are the most trusted cloud partner in the industry.Summary: Onix seeks an experienced Cloud Machine Learning Engineer, who will be vital in designing and implementing solutions that meet client business needs and support the overall cloud architecture. As a Cloud Machine Learning Engineer, you will be critical in defining the technical architecture, selecting appropriate technologies and developing Machine Learning models and systems. You will work closely with cross-functional teams, including data scientists, engineers, architects and business stakeholders in order to deliver innovative and scalable machine-learning solutions that address complex business challenges.Location: Remote (U.S.)Primary ResponsibilitiesLead the design, development and implementation of enterprise-level Machine Learning solutions, from data collection and preprocessing to model training, evaluation and deployment that integrate into the overall data architectureProvide thought leadership and technical expertise in designing, building and optimizing end-to-end data pipelines, from data extraction and transformation to loading and visualizationCollaborate with business stakeholders, data engineers, data scientists and other teams to understand data requirements, use cases and business objectivesArchitect scalable and efficient Machine Learning pipelines and workflows, leveraging best practices and cutting-edge technologies that incorporate into DatabricksDesign and implement data processing and feature engineering pipelines to extract relevant information from diverse, large-scale datasetsEnsure data quality, integrity and governance standards are met throughout the data engineering lifecycleCreate and maintain technical documentation, run books, code and best practices for data and machine learning engineering on the Databricks platformPerform various functions related to additional technologies like Spark/Python/PySpark, R, etc.Provide client presentations to review project design, outcomes and recommendationsQualifications & Skills5+ years of consulting experience, working with external clients across a variety of different industries/markets7+ years experience in data architecture, data engineering, data science and analytics in areas such as performance optimization, pipeline integration, infrastructure configuration, etc.3+ years of relevant experience developing production-level PySpark/Python code3+ years of relevant experience developing production-level R/sparklyr codeExperience in developing reusable tooling (libraries, modules, etc.) using object-oriented design to manage code complexity alongside willingness to learn object-oriented design principles, as necessaryExperience in and familiarity with MLOps principles, including, but not limited to, model registries, model serving (batch and real-time), model versioning, promotion, model and feature drift, and automated re-trainingIn-depth knowledge of AWS data services and related technologies, including but not limited to, Athena, Redshift, Glue, S3, Lambda, SageMaker, Amazon Managed Workflows for Apache Airflow (MWAA), etc.Deep knowledge and expertise in Databricks and its components, such as Unity Catalogs, Delta Lakes, Delta Live Tables, Apache Spark (and PySpark), Lakehouse Monitoring, Managed MLFlow, etc.Production-level experience with data ingestion, streaming technologies (i.e. PySpark, Spark, Kafka), performance tuning, troubleshooting and debuggingDeep understanding of Machine Learning algorithms, techniques and methodologies with hands-on experience in applying supervised, unsupervised and deep learning techniques to real-world problems.Proficiency with programming languages such as Python, R, PySpark/Spark and/or Scala, including expertise with data manipulation and analysis libraries (i.e. NumPy, Pandas, etc.)Experience implementing real-time data processing pipelines for streaming analyticsExperience with various DevOps functions and technologies (i.e. IaC with Terraform, CI/CD, automation tooling, etc.)Possesses strong problem-solving and analytical skills, with the ability to identify and resolve complex data engineering and data science challengesPossesses excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholdersCertificationsDatabricks Certified Machine Learning ProfessionalPreferred to have current credentials or ability to obtain within first 60 days of employmentEducation: Bachelor's degree or equivalent experience required. Master’s degree or higher preferredTravel Expectation: Up to 15%It is the policy of Onix to ensure equal employment opportunity in accordance with the Ohio Revised Code 125.111 and all applicable federal regulations and guidelines. Employment discrimination against employees and applicants due to race, color, religion, (including sexual harassment), national origin, disability, age (40 years old or more), military status, or veteran status is illegal. Onix will only employ those who are legally authorized to work in the United States or Canada. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.",Entry level,"Cloud Machine Learning Engineer (Remote, U.S.)"
+745,2025-04-09,Mountain View,CA,Google,https://goo.gle/3DLEokh,"A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
+
+Check out our career opportunities at goo.gle/3DLEokh","Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages, and with data structures/algorithms. 3 years of experience in testing, maintaining or launching software products, and 1 year of experience with software design and architecture.3 years of experience with Natural Language Processing (NLP) concepts, algorithms, and experience in designing NLP solutions.3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).Preferred qualifications:Master's degree or PhD in Computer Science or a related technical field.1 year of experience in a technical leadership role.Experience in developing accessible technologies.Experience with data analysis, techniques to detect abusive patterns, outliers, sentiment, plagiarism, brigading, etc.Experience in content moderation.About The JobGoogle's Software Engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at a massive scale, and extend well beyond web search. We are looking for Engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile, the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our Engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.In this role, the Conversation-ArtificiaI Intelligence (AI) team's goal is to protect voices in online conversation. We design and build innovative user experiences to explore how our models can help humans have better conversations. We also publish original research to advance the state-of-the-art in using Machine Learning (ML) to support good online discussion.Jigsaw is a unit within Google that explores threats to open societies and builds technology that inspires scalable solutions. Our team addresses a range of global security challenges including defending against digital attacks, mitigating the rise of online hate and harassment, countering extremism, and fighting censorship. Jigsaw offers mission-driven work within a nimble interdisciplinary team, connections to academia and civil society, and a quick path to taking technology public.Because we believe the GenAI era creates both an opportunity and an imperative to rethink our digital public square, we are increasingly invested in technology to support democratic discourse.The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .ResponsibilitiesInterest in improving online discussions and desire to have an impact.Analyze Machine Learning foundations with an open mind and how Large Language Models are changing and complicating the landscape.Design solutions to ambiguous problems with an entrepreneurial mindset.Bring Machine Learning systems into production.Guide academic research in Artificial Intelligence (AI) and Machine Learning.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .",Not Applicable,"Software Engineer, Machine Learning, Jigsaw"
+746,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.Responsibilities - What You'II Do Build industry-leading recommendation system, improving user experience, content ecosystem and platform security; Deliver end-to-end machine learning solution to address critical product challenges; Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.QualificationsMinimum Qualifications Bachelor degree or above in computer science or a related major, with 2+ years of related work experience; Strong software development experience with C++, Python or other programming language; Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product; Strong communication and teamwork skills; Passion about techniques and solving challenging problems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, TikTok Core Feed Recommendation"
+747,2025-04-08,Mumbai,MH,LTIMindtree,https://ltimindtree.com,"LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 86,000+ talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
+
+LTIMindtree is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities regardless of race, ethnicity, nationality, gender, gender identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability, or any other characteristic protected by applicable law. 
+
+Please note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge candidates any registration fees or other fees for appearing in interviews or securing employment/internships. Candidates are solely responsible for verifying the credentials of any agency or consultant claiming to work with LTIMindtree for recruitment purposes. Please note that anyone relying on representations made by fraudulent employment agencies/consultant does so at their own risk. LTIMindtree disclaims any liability for loss or damage suffered as a result of such actions. 
+
+For more info, please visit ltimindtree.com.","About Us:LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com. Job Title: Data Scientist with Python Work LocationUSA (Tampa, FL) (Onsite/Hybrid)Job Description:Minimum 6+ years of industry experience in enterprise level AI model development and deployment exposureShould have sound knowledge in time series data and statistical data analysis Hands on experience in large Dataset Pre-processing, data cleansing techniques for unstructured data, data pre-processing and data ingestion Deep knowledge and hands on implementation exposure in feature engineering techniques to comprehend expected model outcome - aligning to a given domain led business outcome Experience in Deep learning and Natural Language Processing (NLP) for Text Classification Topic Modelling Sound knowledge on transformer architecture having one of the language model application exposures is a must - Vector DB, Word2Vec, BERT, ColBERT, spaCy, GPT, etc with semi supervised model building experience Sound knowledge of LLM model tuning and conceptual level understanding of how last layer training with self-attention and other hidden layers that are required for LLM model re training MLOps with enterprise scale AI model management deployment exposure and existing model retrain exposure is an added advantageDevelopment experience in Python and or R for data pre-processing, model pipeline builds and data visualizationGood understanding on Data Visualization tools and dashboard creation is an added advantage Familiarity of different data source ingestion management SQL, NoSQL DB and streaming dataMANDATORY CERTIFICATION: Python Institute - Certified Associate in Python ProgrammingBenefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):Benefits and Perks:Comprehensive Medical Plan Covering Medical, Dental, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid Paternity and Maternity LeaveThe range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office:In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.",Mid-Senior level,Data Scientist
+748,2025-04-02,Denver,Colorado,Ibotta,http://www.ibotta.com,"Built in Denver, CO, Ibotta (""I bought a..."") (NYSE: IBTA) is a performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale.
+
+Guided by our values and our mission to Make Every Purchase Rewarding, we come to work energized by the business problems we get to solve, the technology we build, the innovative people we work (and have fun) with, and the consumers we get to help. To date, we have credited American consumers $1.8 billion. The largest tech IPO to come out of Colorado, Ibotta is headquartered in Denver.
+
+Ibotta has been named as a Top Workplace by The Denver Post five times, made BuiltIn Colorado’s Best Places to Work list four years in a row and appeared on Inc.'s list of Best Workplaces in 2017 and 2023.
+","Ibotta is seeking a Data Scientist to join our Marketing Analytics team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data analyses, testing methodologies, and statistics to provide actionable insights to the Marketing Team.As a Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build trustworthy and robust datasets for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout.You’ll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team.This position is located in Denver, Colorado as a hybrid position requiring 3 days in office, (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.What you will be doing:Contribute to creating best practices for the teamInitiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modelingAnalyze large and novel datasets to extract actionable insights to inform model development and understand consumer behaviorProvide customized views of large and complex datasets to support data analysis and business decision-makingInform experimental design to formulate solutions addressing major business challenges and innovation opportunitiesBuild models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using techniques to measure and optimize model performanceHarden data pipelines and models for production deployment and monitoring of performance over timeEmbrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhereWhat we are looking for:2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experienceBachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferredA passion for driving important decisions using data and data storytellingA love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plusDemonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithmsDemonstrated Python and/or R skills. Spark or PySpark experience is a strong plusBroad and general statistical and mathematical knowledge and skillsExcellent analytical and problem solving skillsDemonstrated knowledge, skills, and abilities in database manipulation, query languages, and graph data schemasExposure to or interest in manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streamsExposure to or interest in MLOps a strong plusAbout Ibotta (""I bought a..."")Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, and 401k match. Denver office perks include paid parking, bagel Thursdays, snacks and occasional meals.Base compensation range: $100,000 - $115,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basis.For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.Recruiting Agency NoticeIbotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.#BI-Hybrid",Entry level,"Data Scientist,  Marketing Analytics"
+749,2025-04-08,China,China,ByteDance,https://job.bytedance.com/en/#/,"ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok.
+
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. 
+
+Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.
+
+We have over 110,000 employees based in more than 30 countries globally. Join us.","ResponsibilitiesThe mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer in MLDev (Machine Learning System) to join our team to support and advance that mission.Responsibilities: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models. Responsible for building a flexible and easy-to-use Machine Learning development API framework. Responsible for collaboration with model teams and providing general solutions to meet their requirements. Convert high-level ML models into formats that can run efficiently on different hardware, and optimize performance.QualificationsMinimum Qualifications: Proficient in Python/C/C++, and have solid programming skills. Familiar with deep learning frameworks (TensorFlow/Pytorch). Capable of using compiler development tools such as MLIR, LLVM, as well as parallel computing platform such as CUDA. Familiar with common machine learning models (MLP/WordEmbedding/Transformer).Preferred Qualifications: At least 5 years of experience in GPU performance optimization. Experience in developing and deploying large-scale systems. Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $435000 - $585000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About UsFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.Why Join ByteDanceInspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.Reasonable AccommodationByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Entry level,Machine Learning Engineer - MLDev
+750,2025-03-20,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.ML models can only be as good as the data we provide them. That's why we continue to innovate on making data and feature engineering as simple, scalable, and efficient as possible. Are you interested in joining us on this mission? You will have the opportunity to build cutting-edge data and feature infrastructure that will power ML models across various domains, including personalized recommendations, payments, games, ads, and more.The OpportunityIn this role, you will have the opportunity to build a next-generation ML data and feature platform to significantly improve the productivity of ML practitioners. Our goal is to enable our ML practitioners to easily define and test ML features and labels, while our platform takes care of the computation, storage, and serving of feature values for both high-throughput training and low-latency member-scale inference use cases.You will also have the opportunity to build a centralized feature and embedding store to enable sharing across various ML domains. Unlocking access to these shared datasets will foster innovation through ML in new business areas that otherwise wouldn’t have been feasible. You will collaborate closely with ML practitioners and domain experts to ensure that our models are built with high-quality features and labels. You will also get to work with the broader Machine Learning Platform organization to deliver a cohesive end-user experience that significantly improves the productivity of ML practitioners.Here are some examples of the types of things you would work on:Design and build a near-real-time feature computation engine to generate ML features for both high-throughput training and low-latency inference applications.Operate and manage the feature computation pipelines and feature serving infrastructure for various ML models across multiple ML domains.Build and scale systems that accelerate training through performant data loading, transformation, and writing.Create frameworks to streamline and expedite the availability of new data for training and serving.Develop feature stores that enable feature discovery and sharing.Increase the productivity of ML practitioners by making it easy to define and access features and labels for experimentation and productization.Minimum QualificationsExperience in building ML or data infrastructureStrong empathy and passion for providing a fantastic user experience to ML practitionersExperience in building and operating 24/7 high-traffic and low-latency online applications Experience with large-scale data processing frameworks such as Spark, Flink, and KafkaExperience in working with and optimizing Scala and/or Python codebasesExperience with public clouds, especially AWSSelf-driven and highly motivated team playerPreferred QualificationsExperience in building and operating ML feature storesExperience with Functional ProgrammingExperience working with Notebooks such as Jupyter or PolynoteOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits, including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, a Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and serious injury benefits. We also offer paid leave of absence programs. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.Netflix has a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Software Engineer L5 - Data and Feature Infrastructure, Machine Learning Platform"
+751,2025-03-28,Santa Clara,California,AMD,http://www.amd.com,"We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 
+AMD together we advance_ ","WHAT YOU DO AT AMD CHANGES EVERYTHINGWe care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.AMD together we advance_The RoleWe are looking for an AI Software development engineer who is passionate about building and optimizing deep learning applications and machine learning frameworks.Be a part of an AMD development team and the open-source community to design, develop, test and deploy improvements to make us the best platform for generative artificial intelligence and deep neural networks. Incredibly talented industry specialists.The PersonThe ideal candidate has strong technical and analytical skills in high performance C++. Able to communicate effectively and work optimally with different teams across AMD. Experience in tensor libraries or machine learning execution engines is a plus.Key ResponsibilitiesOptimize key deep learning models on AMD GPUsDevelop and finetune inference and serving engines for large language modelsCollaborate with AMD’s architecture specialists to improve future productsCollaborate with operator libraries team to analyze and optimize training and inference for deep learningWork in a distributed computing setting to optimize for both scale-up (multi-accelerator) and scale-out (multi-node) systemsOptimize the entire deep learning pipeline including graph compiler integrationParticipate in new ASIC and hardware bring upsApply your knowledge of software engineering best practicesPreferred ExperienceAbility to work independently, define project goals and scope, and lead your own development effortDeep Learning experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systemsProgramming in High-Performance Domain-Specific Languages for GPU or ML ASIC Computing (HIP, CUDA, OpenCL, Triton, KNYFE, Mojo)Using debuggers (LLDB, GDB) and profilers on heterogeneous hardwarePyTorch or TensorFlowFamiliarity with ML Graph Compilers (Glow, FX, XLA) is a plusKnowledge of the lower levels of typical ML workflows from MLIR to LLVM all the way down to assembly language(s) is a plusAcademic CredentialsMaster’s or PhD in Computer Science, Computer Engineering or related fieldsBenefits offered are described: AMD benefits at a glance.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.",Mid-Senior level,ML Frameworks Software Development Engineer - vLLM
+752,2025-04-04,Knoxville,TN,Tombras,http://www.tombras.com,"Tombras is a 450+ person, full-service agency with a digital mindset. We are one of the top independent agencies in North America. We are united by our philosophy: Connecting Data & Creativity for Business Results.®
+
+
+2023 AdAge A-List Standout 
+2022 ADWEEK US Agency of the Year (Finalist)
+2021 Fast Company World Changing Ideas
+
+
+Clients include Orangetheory Fitness, MoonPie, BUSH's Beans, Rolls-Royce, Pernod Ricard, Frito-Lay, Zaxby's
+
+
+
+","Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided.The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing:Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the resultsDevelop the framework and approach for marketing science and develop bespoke offeringsEmploy best in class tooling to develop proprietary Martech in partnership with the Technology and Media practicesIdentify new and innovative data sets that can be used to improve existing modeling work, or deliver net new modelsClearly articulate statistical results to clients, ultimately leading to continued client engagement and implementationWhat you bring:M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research(Optional) Experience in marketing science or advertising analyticsMastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice ModelsStrong competency with python, R, SQL, and other commonly used statistical toolsClient services mindsetAbility to influence clients and partner agencies to act on insightsAbility to distill complicated information into succinct graphical presentations for senior stakeholdersWhy Join Tombras Analytics?Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.Why you’ll want to work at Tombras:You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You’ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.Tombras Benefits:Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly officesUnlimited PTOGenerous parental leave for primary and non-primary caregivers.Medical (PPO or High Deductible option) for employee + dependents401(k) ParticipationEmployer-paid Dental & VisionA company culture of promotions from within and an atmosphere allowing for varied and rapid career development.New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values.Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.Tombras is an E-Verify employer and participates in the E-Verify program.This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.",Not Applicable,Data Scientist
+753,2025-04-04,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Machine Learning Engineer to join our team. You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment and catalog system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You will report to the engineering manager on our New Verticals ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building.Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - New Verticals
+754,2025-03-28,Virginia Beach,Virginia,"G2 Ops, Inc.",http://www.g2-ops.com,"G2 Ops is a preferred provider of analytical and innovative solutions in the following areas:
+-  Model-Based Systems Engineering
+-  Cybersecurity Requirements, Analysis, and Threat Assessment
+-  Cybersecurity Consulting
+
+Strategic vision: G2 Ops helps companies stay ahead of cyber crime and IT threats by identifying and measuring weaknesses before incidents occur, then providing remediation priorities based on individual business and financial risk thresholds.","Quick Position Facts!Job Code: 039Location: San Diego, California at our wonderful G2 Ops office and customer siteWork Setting: In person, some flexible working hours, not a fully remote positionLooking to Start: April 1, 2025Salary Range: $90,000+Openings: 1 Full-Time RoleKnowledge Requirements: Experience with software integration or testing, including analyzing and implementing test plans and scriptsExperience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analyticsExperience with data science, data mining, statistics, or graph algorithms to support analytics objectivesExperience applying Structured Query Language (SQL), Non-Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search IndexExperience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or AntigravityExperience applying complex mathematical and statistical conceptsExperience applying statistical and operations research methods and toolsExperience employing spreadsheets for data manipulation and visualizationYears of Industry Experience: 3+ years of relevant experience Security Clearance Requirement: Must be able to obtain and maintain Active DoD SECRET ClearanceWhat makes someone choose one company over another?Pay, benefits, training, work satisfaction, culture? What if you can have it all? At G2 Ops, we have extremely competitive pay and benefits but that is not even the best part. Our culture is what sets us apart from other companies. With us, you will not be another payroll number or a cog in the machine. We provide great value to our customers by working as a team and ensuring every member is set up for success. Our team approach allows for each member to not only provide value with their expertise but also gives them the opportunity to cross-train in other areas in which they have an interest.Embracing AI. G2 Ops stays ahead of the competition by embracing the latest technologies, including Artificial Intelligence (AI). We are looking for team members who are excited to explore and implement AI solutions that can improve internal workflows and deliver superior results for our clients. Whether you are reducing manual processes or developing predictive models, we provide the tools and support to make AI an integral part of your work.Let's talk salary.The annual salary range for this position starts at $90,000+ based on your qualifications. We also offer a competitive benefits package and have fringe benefits offered throughout the year. The benefits package value ranges from $13,000 for a single employee, and up to $28,000 for an employee and their family. With company standard annual performance reviews in place, plus excellence awards for recognition, your performance will be rewarded and appreciated, we promise!So, you want to work from home?Let's be honest, remote work is not always all it's cut out to be. At G2 Ops, we offer a flexible schedule to meet the needs of our employees and customers. Due to the classification level of the projects we support, we are not able to offer fully remote opportunities at this time. As a Defense Contractor, we are frequently working with sensitive material, and therefore, we need to ensure where you access your work is secure.You will have a shiny desk at our G2 Ops office, plus the opportunity to work at a military site directly with our customers (this is a good thing!). We do allow teleworking and condensed work schedules with prior approval, but supportingthe DoD, you will be required to work at a militarysiteas well.Here's the thing, we have worked very hard to create an awesome culture where our employees get to come to a collaborative, exciting office environment and we want you to join the fun!Still not convinced?Allow us to elaborate. For this opportunity, we are seeking a highly motivated, team-oriented Data Scientist. This exciting position provides the opportunity to work on advanced data analytics, machine learning, and artificial intelligence techniques to support the U.S. Navy's mission by enhancing operational decision-making and developing innovative solutions for complex technical challenges. This role involves analyzing large datasets, creating predictive models, and working closely with cross-functional teams to improve systems and processes in areas such as cybersecurity, logistics, communications, and mission operations.What does this mean to you? We are seeking expertise in data science in the following areas:Data Analysis: Analyze large, complex datasets to identify trends, patterns, and insights that can drive operational improvements and inform decision-making across various NAVWAR initiativesMachine Learning & AI: Design, implement, and optimize machine learning algorithms and artificial intelligence models to solve operational and strategic challengesModel Development: Develop predictive models and algorithms that support mission-critical systems, with an emphasis on automation, forecasting, and anomaly detectionLastly, as we are working for the DoD, we are beholden to some requirements. The ideal candidate would already possess an activeDoD SECRET clearanceandcloud or security certifications.Quick Reminder, we are seeking a full-time team member; the continuation of outside employment shall not constitute a conflict with the Company’s interest, including performing work for a customer or competitor.Congratulations, you made it all the way to the end of this job posting! We look forward to learning more about you!Benefits100% company-paid insurance for medical, dental, and vision for eligible employees and family members100% company-paid insurance for life, short-term (STD) and long-term disability (LTD) for eligible employees 401(K) Plan with discretionary employer matching10 paid holidaysPaid time off (PTO)Educational assistanceWork/life balanceFamily-oriented cultureCompetitive salariesAbout G2 Ops, Inc.G2 Ops, Inc. is a small business with big capabilities in cyber security architectural analysis, model-based systems engineering (MBSE), and strategic consulting in support of both government and commercial clients across the globe. As a trusted and reliable government contractor, we deliver cyber security & systems engineering support for integrated DoD weapons, communications, intelligence, and other mission-critical systems. In the commercial space, we provide business solutions analysis, strategic planning, and training and development services to a variety of public and private sector businesses and organizations. Through innovative solutions, exceptional employees, top-tier analytical capabilities, and a customer-centered focus, G2 Ops has established a reputation for service excellence and innovation.G2 Ops, Inc. is an Equal Opportunity EmployerPowered by JazzHRd6jni64BJi",Mid-Senior level,Software Engineer/Data Scientist
+755,2025-04-09,London,England,Orbis Group,http://www.weareorbis.com,"We are Orbis Group. 
+
+We work with brands that are passionate about tech, diversity, community and change. 
+
+Our vision is to be the premier source for identifying and connecting excellence across financial services, life sciences and technology.
+
+We are people specialists. Our mission is to continuously define and identify excellence; refined to exact requirements through the rewarding experience of better partnerships.
+
+This is connecting excellence.
+
+Email: info@weareorbis.com
+London: 0203 854 0024
+
+To view live roles and to register with us, visit www.weareorbis.com","Job Title: Senior Machine Learning EngineerLocation: Remote (US-based only)Salary: $200,000 - $220,000 + Bonus + EquityOur client, a generative AI scale-up, is building large-scale Large Language Models (LLMs) to compete with industry giants like OpenAI, Anthropic, Google, and Microsoft. As the company is entering an exciting growth phase, they are looking for multiple Machine Learning Engineers at all levels to help deploy and manage ML models at scale.Machine Learning Engineer Responsibilities:Design, implement, deploy, and manage machine learning algorithmsWork closely with Researchers, Product, Platform, and Software teamsHandle real-time, multimodal dataContribute to the development of cutting-edge AI modelsMachine Learning Engineer Requirements:Graduate degree in a relevant STEM field (CompSci preferred)4+ years of experience deploying models into productionStrong Python experience (experience with Scala, Java, R, or Haskell a plus)Familiarity with Platform/MLOps tools such as Kubernetes and DockerAbility to work as part of a high-performing, small, remote teamEnd-to-end ownership of projects, driving technical decisions and model deploymentBenefits:Competitive salary with bonus and RSUsComprehensive benefits package including 401k, medical, dental, and visionUnlimited PTOIf you're ready to be part of a game-changing company in the AI space and want to contribute to the next generation of LLMs, don’t hesitate to apply!",Mid-Senior level,Senior Machine Learning Engineer
+756,2025-03-08,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced Front end Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team that’s working to help people connect with each other around the globe. Join us!Software Engineer, Front End Responsibilities:Lead complex technical or product efforts involving many engineersProvide technical guidance and mentorship to peersImplement the features and user interfaces of Facebook products like News FeedArchitect efficient and reusable front-end systems that drive complex web applicationsCollaborate with Product Designers, Product Managers, and Software Engineers to deliver compelling user-facing productsIdentify and resolve performance and scalability issuesMinimum Qualifications:6+ years of JavaScript experience, including concepts like asynchronous programming, closures, types, and ES65+ years of HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibilityExperience with browser APIs and optimizing front end performanceExperience building maintainable and testable code bases, including API design and unit testing techniquesDemonstrated experience driving change within an organization and leading complex technical projectsCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Shipped at least one large-scale product to production, supporting millions of active usersAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Front End"
+757,2025-04-03,Boise,Idaho,Micron Technology,http://www.micron.com,"Micron is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence (AI) and compute-intensive applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more about Micron Technology, Inc. (Nasdaq: MU), visit micron.com.","Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious Machine Learning Engineer. Are you curious, high velocity, and ready to solve complex problems? Do you dream in data science and machine learning models? If so, we want you to join us!Our mission is to enable to deliver industry-winning machine learning solutions to power Micron’s dominance in the highly competitive memory solutions market. Qualified applicants will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable pipelines to execute machine learning models. You will collaborate with Data Scientists, ML Engineers, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron’s manufacturing processes and systems.Responsibilities include, but not limited to: Data Analysis and ModelingAnalyze existing Micron data sets to identify patterns, trends, and insights that can enhance machine learning model development.Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality.Build knowledge by keeping up with latest advancements in machine learning and artificial intelligence (AI), integrating new techniques and technologies into our MLOPS development process.Data infrastructureBuild and maintain Data/Solution Pipeline Engineering to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models.Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models.Design and optimize data structures in data management systems (Cloud platforms - Snowflake, GCP, Azure) to enable AI/ML solutions. Model Deployment and MonitoringBuild custom software components and analytics applications.  Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment. Implement strategies for deploying machine learning models into production environments.Responsible for selecting best model to meet both model performance and minimize compute costs.Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement.Generative AI Integration StrategyCollaborate with the Product and Engineering teams to find opportunities for integrating machine learning and Generative artificial intelligence capabilities into Project solutions/platform.Collaborate with the Product team to craft a Tactical roadmap for the adoption of machine learning technologies, paradigms & frameworks following standard methodologies.CommunicationWork in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence.  Convey findings, insights, and recommendations to both technical and non-technical customers in a clear and accessible manner.Outstanding analytical thinking, interpersonal, oral, and writtenAbility to prioritize and meet critical project timelines in a fast-paced environment.  Minimum Qualifications: Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning. 2+ years of experience in building and executing end-to-end ML systems automating training, testing, and deploying Machine Learning models in cloud platforms.2+ years of strong working knowledge of databases (Oracle, MSSQL, Snowflake, or BigQuery)   2+ years of experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)  2+ years building scalable ETL pipelines with big data processing and/or developing applications and data sources using (Airflow/Kubeflow/Dataflow)Strong programming skills in one of the following, Python or Java Understanding of Prompt Engineering, NLP, RAG Fine-Tuning using one or more of Langchain, DsPy, Semantic Kernel, Tensorflow, and Pytorch.Experience with continuous integration/continuous delivery (CI/CD) using tools (Jenkins, Git, Docker, Kubernetes and containerization) Solid understanding of prediction (regression) and classification algorithms and familiarity with deep learning, reinforcement learning and generative AI.Experience developing Machine Learning or Artifical Intelligence solutions with either PythonExperience in cloud platform technologies in either of GCP ,AWS, AZUREPreferred Qualifications: PhD in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning. Familiarity with Data architecture (data structures, data schemas, etc.).  Deep knowledge of math, probability, statistics, and algorithms  Demonstrated ability to study and transform data science prototypes into production solutions.Knowledge of computer vision and/or signal processing including techniques for classification and feature extraction As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.To learn about your right to work click here.To learn more about Micron, please visit micron.com/careersFor US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.",Mid-Senior level,Machine Learning Engineer
+758,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join USCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.We are looking for talented individuals to join our team in 2024-2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates globally.Responsibilities: Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems. Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions. Deploy and maintain scalable recommendation models for real-time query handling and product suggestions. Analyze complex datasets to derive insights that guide strategic decisions. Stay up-to-date with the latest machine learning developments, incorporating them into your work.QualificationsMinimum Qualifications: Master's or PhD degree in Computer Science, Engineering, Operations Research, or related fields. Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline Thorough understanding understanding of data structures and algorithms, with excellent problem-solving ability. Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineeringPreferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications Internship experience or research experience, especially in e-commerce, recommendation, search engine Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI. Curiosity toward new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilitiesTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2025 Start (PhD)
+759,2024-10-02,New York City,New York,Valence,https://www.valence.co/,"Valence has created the widest deployed AI-native coach for enterprise, rapidly changing the face of leadership development, learning, and collaboration at work. 
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+Our enterprise-grade, responsible AI applications are trusted by the world’s largest and most secure companies like Nestlé, The Coca Cola Company, General Mills, Vanguard Mutual, Experian, Prudential, Schneider Electric, Applied Materials, ServiceNow and more.
+
+Join us to shape the future of work and accelerate your career - www.valence.co/careers
+
+Find us in New York | Toronto |  London","Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it.From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for.The RoleThis role is a Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our Head of AI. In this role you will implement, and optimize machine learning models that power our coaching insights and recommendations. This role is focused on the development and optimization of machine learning models and algorithms, optimizing the underlying ML infrastructure and model development. This role will directly impact our product's core and shape the future of AI-driven leadership coaching for Fortune 500 enterprises.About ValenceWe're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a Who's Who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Prudential, Citi, CVS and Bristol Myers Squibb.What You'll DoYou will develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready. Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goalsWork with the product team to analyze user behavior and prioritize evolving requirementsExperiment at a high velocity, conducting statistical analyses, to optimize the end user experience Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancementsDocumentation of models, prompts, and processes to increase replicability and drive quality improvements. Stay current with the latest leading research advancements in ML, LLMs, and Conversational AISupport other coding and feature development where requiredWhat We're Looking ForBachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field)Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information RetrievalStrong foundation in data structures, algorithms, and software engineering principlesProficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM)Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad) Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML servicesStrong analytical and problem-solving skillsExperience structuring and running data-backed experimentsStrong written and verbal communication skillsExposure to early-stage startups, preferably B2B SaaSWhat You'll GetOwnership of projects and strategic priorities regardless of seniority in our learning-focused environmentStrong ties to the executive team, a culture of transparency and engagement with strategic decisionsOptions from day one, which means you will be on the ownership track right awayCompetitive salary and equity packagesComprehensive health coverage (medical, dental, and vision) from day 1Provision of anything you need to be successful - learning tools, hardware, office equipment, software401k optionality for US based employeesGenerous PTO, company-wide R&R shutdowns and paid leave for parents. A WFH stipend, phone stipend and support to work in a We Work or other space as preferredLocation and Work EnvironmentIf candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.Diversity and InclusionWe are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co.",Not Applicable,Machine Learning Engineer
+760,2025-01-24,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is building the Metaverse, the ""spatial internet"" where immersive virtual worlds will coexist with the real world. Spatial AI team under Reality Labs (RL) develops cutting-edge technologies that serve as the foundation of Meta AR/VR products. From tracking & localization to context/semantic understanding, our team takes new technologies from early concept to the product level while prototyping and realizing the new experiences they open up. We are looking for software engineers who are passionate about building tracking & positioning solution for AR/VR devices. In this role, you will be involved in novel technology development using a variety of sensors for inertial and visual motion tracking, spatial mapping & understanding, and sensor fusion for positioning and places identification. You will collaborate with other engineers and researchers in deploying such solutions in RL devices and light-up the next generation experiences such as world-locked rendering, AI powered spatial recommendation, and fitness tracking.Software Engineer, Sensor Fusion and Machine Learning Responsibilities:Lead the design and development of advanced tracking and sensor fusion algorithms that leverages visual/IMU inertial tracking with other sensor data (e.g., GPS, WiFi, magnetometer, barometer, etc.) to achieve robust and accurate device position estimation for AR/VR devices in any environments.Follow the state of art tracking & localization technology and define our tech roadmap for adopting these technologies into RL devices.Lead execution and collaboration with multidisciplinary engineering and research teams to drive technologies development from incubation to production.Be a go-to person to escalate the most complex online / production performance issues that require an in depth knowledge.Define projects for other engineers to possibly solve and achieve impact based on your direction.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Industry experience coding with C++ and Python for design and development of tracking, sensor fusion and machine learning technologies and systems.Experience in designing software systems and machine learning models targeted for edge devices.Demonstrated familiarity with modern machine learning algorithms and experience with modern machine learning frameworks such as PyTorch.Preferred Qualifications:PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.Experience in inertial/visual motion tracking, Kalman filters and state estimation, neural inertial fusion, visual or wireless positioning.Experience mobile optimization, DSP acceleration, Android Open Source Project.Experience in handling sensors such as IMU, magnetometer, WiFi/BLE, Camera and GNSS.Experience with common digital signal processing techniques such as digital filtering, Fourier transform, correlation, and modulation.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Sensor Fusion and Machine Learning"
+761,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Level 5"
+762,2025-02-27,Herndon,VA,Presage Technologies,http://www.presagetechnologies.com,Presage Technologies automates healthcare by transforming hardware-based medical devices and time-intensive processes into software. ,"WHO WE ARE At Presage Technologies, we believe in improving the quality of healthcare while also making it more affordable and accessible. Over 90% of the world’s population has access to a device that can power our software, but less than half have access to basic health services. We are aiming to close that gap by developing cutting-edge artificial intelligence and video analytics to transform consumer electronics and mobile phone consumer apps into sophisticated health sensing platforms. WHAT YOU’LL DOOur Machine Learning Engineer will play an integral role in the development and progression of our state-of-the-art technologies. You will come up with solutions to help solve some of the toughest computer vision problems society faces. General tasks may include, but are not limited to:Design, build, deploy, and improve machine learning, deep learning, and computer vision algorithms to analyze video and biosignal data and generate functional metrics.Train, validate, and optimize models using large data sets, ensuring high performance and generalization. Guide project directions and research and development efforts.Contribute to high impact publications and patents.This is a hybrid role with the expectation that you will be required to work from our office in St. Louis, Missouri. WHO YOU AREYou are an ambitious, self-driven, and technically strong individual. You enjoy teamwork, innovation, and the fast-paced environment of a startup. To succeed within this role, you have the following qualifications:MS/PhD in Computer Science, Statistics, Applied Mathematics or a closely related field.5+ years of demonstrated experience developing/implementing Machine Learning and/or Artificial Intelligence algorithms in computer vision solutions.Expert in Python.Experience analyzing time-varying signals, including robust feature extraction and classification.Experience building custom deep learning architectures for inference from video with 3D CNNs and/or RNNs.Experience building custom deep learning architectures for inference from multiple time-varying signals.Ability to dynamically collaborate in a small team setting.Ability to brief and report results to peers as well as stakeholders.Expert in using Tensorflow or PyTorch.Experience with other Machine Learning models including decision trees (XGBoost, LightGBM, etc.).Highly DesirableDeploying models at the edge/mobile in C++, Java, Javascript, Objective C.Experience with hyperspectral imaging and/or time-varying video analysis.Experience combining multimodal imaging signals.Strong background in statistics.Rapid code prototyping skills.Relevant work experience in computer vision and machine learning for applications to health careIf you are passionate about cutting edge technology and are looking to make a significant impact in a fast-paced and innovative environment, we encourage you to apply for the Machine Learning & Computer Vision Engineer position at Presage Technologies. Join us in shaping the future of healthcare.INTERVIEW PROCESSPhase 1: Submit a ResumePhase 2: Downselection for Introductory Interview with Operations Leadership with Q&APhase 3: Downselection for Machine Learning Background InterviewPhase 4: Downselection for Machine Learning Performance TaskPhase 5: Negotiations and OfferTimeline: The entire process can occur in less than two weeks for the right candidate.",,Machine Learning & Computer Vision Engineer
+763,2025-04-09,San Francisco,CA,Wonderschool,http://www.wonderschool.com,"At Wonderschool (www.wonderschool.com) our mission is to ensure every child has access to early education that helps them realize their potential. There is a major shortage of childcare and preschools in the United States and we believe one of the best ways to increase access for families is to help teachers start great child cares and preschools out of their homes. We provide assistance with licensing, setting up a classroom, setting pricing, building a website, matching parents to their program, operating a school day to day, and everything in between. Our goal is to build product to let teachers focus on what they do best – caring for and educating children.","About WonderschoolWonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.We are seeking a highly skilled and motivated Sr. Development Engineer to join our team. As the Sr. Development Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.Role OverviewWe are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. This is a unique opportunity to work in a fast-paced, purpose-driven environment where you can apply your technical skills to create meaningful impact in the childcare ecosystem. You’ll collaborate with cross-functional teams to build scalable, AI-driven solutions that empower childcare providers and improve parent experiences.Key ResponsibilitiesDesign, develop, and maintain robust software solutions with a focus on integrating AI capabilities.Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.Design and Development of AI Agents: Build modular, task-specific AI agents capable of natural language understanding, dialogue management, and action execution using frameworks such as LangChain or Rasa.Debug and troubleshoot technical issues to ensure platform stability.Stay current with emerging technologies and best practices in software engineering and AI.Required QualificationsBachelor’s degree in Computer Science, Engineering, or related field.Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Basic understanding of cloud platforms like Google Cloud Platform and AWS.Excellent communication skills and ability to work in a collaborative, in-person environment.Nice-to-Have SkillsStrong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications. Retrieval-Augmented Generation (RAG) Pipelines: Design and deploy RAG pipelines by integrating retrievers with generative models to enable contextual, real-time responses using vectorized knowledge bases.Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.What We OfferCompensation: Expected salary range is $100K–$120K annually, based on experience and location.Health Benefits: 100% coverage for employee premiums and 80% for dependents.Wellness: Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.Parental Leave: Competitive policies eligible after six months of employment.Work Environment: Fully remote with flexible hours and regular team bonding opportunities.Wonderschool’s mission is to ensure every child has access to child care that helps them realize their potential. We are doing this by building a suite of tools to support passionate early care and education professionals to start and run quality and sustainable child care programs. Our tools allow providers to easily manage their students, parents, and school all from one dashboard. Our community allows providers to seek advice, support, and a sense of belonging with a group of like-minded peers.For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.The first five years of a child’s life are critical for nurturing brain development for success in school and beyond. All children deserve access to a care situation that will allow them to grow into healthy, lifelong learners. By leading a revolution where all children are able to get access to an environment to develop these skills, we can create drastic changes to neighborhoods and societies as a whole.",Mid-Senior level,Early Career Software Engineer – Applied AI
+764,2025-03-30,South San Francisco,California,Stripe,https://stripe.com,"Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.","Who we areAbout StripeStripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career..About The TeamStripe's Applied ML organization is excited to offer new grad PhD machine learning engineering positions for 2025. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.You will tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.What you’ll doResponsibilitiesDevelop and deploy large-scale machine learning systems that drive significant business value across various domains.Engage in the end-to-end process of designing, training, improving, and launching machine learning models.Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.Who you areMinimum RequirementsA deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2024 or spring/summer 2025.Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn.Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders.A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently.Preferred QualificationsTwo years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning.Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects.Familiarity with navigating new codebases and managing work across different programming languages.Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences.Application requirementsPlease Submit The Following With Your ApplicationA description of your work history (either a resume, LinkedIn Profile, website, or other portfolio of work)Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios.Hybrid work at StripeOffice-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.Pay and benefitsThe annual US base salary range for this role is $173,100 - $270,000. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.",Entry level,"PhD Machine Learning Engineer, New Grad"
+765,2025-04-03,San Francisco,California,Notion,https://notion.com,"Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes? With Notion, they're all in one place, and totally customizable to meet the needs of any workflow. It's the all-in-one workspace for you, your team, and your whole company. 
+
+We humans are toolmakers by nature, but most of us can't build or modify the software we use every day — arguably our most powerful tool. Our team at Notion is on a mission to make it possible for everyone to shape the tools that shape their lives.","About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.We've been working on this together since 2016, and have customers like Nike, Airbnb, Slack, Samsung and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.About The RoleMobile devices have reshaped personal computing—the power of a desktop now fits in our pockets. By giving everyone the building blocks to create their own tools, we'll solve more problems wherever we go. A delightful, intuitive mobile experience: that's our guiding light, and we need iOS engineers to make it a reality.What You'll AchieveYou'll work with the team to build new product features for our iOS app. This might include a better mobile typing experience.You'll improve the performance, reliability, and polish of our iOS app. This might involve rewriting a cache system to decrease startup time.You'll help build and improve internal tools with simplicity and productivity in mind. For example, you might write a script that makes it easier to deploy new versions of our apps.Skills You'll Need To BringThoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.Ability to ship quality apps at scale: You can work with a team to build and maintain quality iOS apps for a large audience. You're familiar with Swift or Objective-C and have handled UI, networking, and threading in those languages.Pragmatic and business-oriented: You care about the business impact of what you're building, and you prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line.Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.Team player: You understand when work is better, together. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.Nice To HavesYou've built or maintained apps for Android, using Kotlin or Java.You're proficient with other parts of our technology stack: React, TypeScript, Node.js, and Postgres.You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.You have interests outside of technology, such as in art, history, or social sciences.Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.",Not Applicable,"Software Engineer, iOS"
+766,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technologyPreferred Qualifications 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2917619",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center - Model Customization"
+767,2025-04-04,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.About The TeamThe Commerce Product Data Engineering team is responsible for data that is critical in driving business growth at Netflix. Our work empowers product managers and business leaders to rapidly experiment and innovate on product experiences that drive towards our goal to “Entertain the World”. In this role, you will partner closely with other engineers and data scientists to power experimentation, analytical data products, and machine learning models. This is an opportunity for someone with a strong data engineering background to demonstrate their thought leadership in crafting metrics and elegant insights that have a direct impact on the business.In this role, you will be an instrumental contributor in developing experimentation and reporting data pipelines that will help us continue to build our ads business. We are invested in protecting our members’ data, and in this particular role we are looking for someone who is capable of being a strong cross-functional partner and data steward to ensure we manage sensitive datasets in a privacy-compliant manner. Since the data you manage will help the company weigh trade-offs and inform key strategic decisions, you will need to build a holistic understanding of the space while also developing deep domain knowledge to inform your technical decision-making.Who Are YouYou are proficient in at least one major language (e.g., Java, Scala, Python) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.You are proficient in working with distributed systems and have experience with different distributed processing frameworks that can handle data in batch and real-time e.g. Flink, Spark, etc. You have a product mindset and are curious to understand what the business needs. You have a naturally collaborative style and build strong partnerships with cross-functional stakeholders across organizational lines working effectively with various teams, including data science, privacy, platform, and ads teamsYou have a solid handle on best practices relating to data governance and are capable of applying your strong data stewardship skills to managing sensitive datasets and ensuring their quality and security.You have experience complying with internally or externally imposed privacy constraints and regulations (e.g., GDPR) when it comes to managing data.You proactively think about ways to build upon and improve the systems you work with and are opinionated about engineering principles and have demonstrated experience delivering positive outcomes by putting those principles into practice.You leverage your own judgement and input from others to deliver data to meet short-term business needs while also continuously striving for ways to improve our efficiency and effectiveness in delivering long-term value and unlocking new capabilities and insights.You relate to and embody many aspects of Netflix's Culture. You love working independently while also collaborating and giving/receiving candid feedback.A few more things to know: Our culture is unique and we live by our values, so it's worth learning more about Netflix at jobs.netflix.com/culture. We regularly share examples of our work on our tech blog. You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks. Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Data Engineer (L5) - Commerce Product Data Engineering
+768,2025-01-10,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+769,2025-04-09,Guangzhou,Guangdong,XPENG,https://www.xpeng.com/,"XPENG is a leading tech company that designs, develops, manufactures, and markets intelligent mobility solutions. We explore the diversity of mobility including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. We focus on creating a future of mobility that uses thoughtful and empathetic intelligence to improve the driving experience.
+XPENG is committed to in-house R&D, with almost 40% of our employees working in R&D-related areas helping to develop our expanding product portfolio. The Company has created a full-stack Advanced Driver Assistance System (XPILOT), as well as an intelligent operating system (Xmart OS) for an enhanced in-car experience. XPENG has also developed core vehicle systems for enhanced driving capabilities, including powertrains and advanced electronic architecture.
+XPENG is headquartered in Guangzhou, China with multi-regional offices in Beijing, Shanghai, Shenzhen, Silicon Valley, and San Diego. In 2021, the Company established its European headquarters in Amsterdam, along with other dedicated offices in Copenhagen, Munich, Oslo, and Stockholm. XPENG's EVs are manufactured at the fully-owned plant located in Zhaoqing, China. To further expand our production capacity, two new self-owned intelligent EV manufacturing bases in Guangzhou and Wuhan are under construction now.","XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. With this mission, we are looking for passionated machine learning engineers of all levels who will develop robotics technology together with us to shape the new future of humanoid robots. You will work on a lean team without boundaries. Your influence will be on every single product that is shipped, without boundaries as well.Job Responsibilities:Develop and maintain machine learning models (e.g. VLM, VLA, RL, etc.) training and deployment pipelines that could scale to massive production.Work on efficient foundation models (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in humanoid robots.Work on efficient and effective ways to generate/leverage large scale dataset and computational resource.Explore novel ways to generate synthetic data to improve the data diversity & quality.Communicate and align with different teams on product needs across the company.Minimum Qualification:Strong python programming skills & software development, and strong experience with any major deep learning framework.Solid background in machine learning, natural language processing, computer vision, speech or data science.Open-minded, collaborative & humble personality.Preferred Qualification:Deep understanding of multimodal LLM modern architectures, ""under the hood"" LLM training knowledge, quantization techniques, etc.Record of publications, innovations or leadership.What do we provide:A fun, supportive and engaging environmentOpportunities to make a significant impact on the future of transportation and roboticsOpportunity to work on cutting edge technologies with the top talent in the fieldCompetitive compensation package & benefitsSnacks, lunches, and fun activitiesThe base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.",Entry level,"Machine Learning Engineer, Robotics"
+770,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an Software Development Engineer (SDE) on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsA day in the lifeAs You Design And Code Solutions To Help Our Team Drive Efficiencies In Software Architecture, You’ll Create Metrics, Implement Automation And Other Improvements, And Resolve The Root Cause Of Software Defects. You’ll Also Build high-impact Gen AI solutions to deliver to our large customer base Participate in design discussions, code review, and communicate with internal and external stakeholders Work cross-functionally to help drive business solutions with your technical input Work in a startup-like development environment, where you’re always working on the most important stuffAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technologyPreferred Qualifications 3+ years of full stack development experience Bachelor's degree in computer science or equivalent Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or frameworkAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2937070",Not Applicable,"Machine Learning Engineer, Gen AI Innovation Center, AWS"
+771,2025-04-04,San Diego,California,Faro Health,http://www.farohealth.com,"Faro Health’s cloud-based software platform improves the way clinical trial protocols are designed and optimized, empowering clinical development teams to do more of their best work, and spend less time on tedious, manual processes.  
+
+With Faro, clinical study teams can design optimized clinical protocols in a digital-native way, providing insights that can significantly reduce the burden clinical research places on patients and clinicians, clinical trial costs, and study complexity, while laying the foundation for downstream data flow and process automation. ","Faro Health aims to improve lives by helping life sciences companies design optimal clinical trials. Our AI powered software platform optimizes and orchestrates complex clinical development by providing powerful insights about trial design and outcomes. Faro empowers researchers to design more intelligent trials, reducing development costs and reaching milestones faster with better patient experiences.Faro is a mission driven company seeking world class people who share our passion for improving drug availability and patient outcomes through better clinical trial design. The company prides itself on its vibrant, inclusive, and growth mindset oriented culture. Faro offers competitive compensation and benefits, generous vacation and parental leave, flexible working hours. The company is a hybrid workplace where San Diego employees work from their homes as well as in our lovely main headquarters enjoying a gym, outdoor lawn work area, and food hall. Remote employees work from home and visit the main office for group events and in-person collaboration.As a Senior AI Data Scientist, you will be working directly with the Principal AI Data Scientist and the CTO to inform and implement the AI strategy and plans for Faro Health, driving their execution. The company is committed to applying state of the art AI models and a range of medical data sets in order to solve challenging customer problems in innovative and powerful ways. Projects will leverage LLMs and other forms of machine learning applied to clinical trial design optimization, protocol document generation, outcome prediction, structured data extraction, and many other areas. This is an integral role that requires deep hands-on skills in data analysis, model design, and model building/implementation skills, along with production-level experience with MLOps, model optimization, LLM prompting/guiding/evaluating, and an ability to go from research or idea through to production. We are looking for a code-heavy (Python) data scientist to help take ideas all the way from prototyping and evaluation to implementation and production deployment.Candidates must be able to work in our San Diego, CA office 2-3 days per week.RequirementsResponsibilitiesWork with Faro AI leadership, clinical team, and product managers to design new applications of machine learning and execute our AI/ML research plan to create value for Faro's customersImplement and evaluate proof of concept prototypes to assess the feasibility of research theses. Collaborate with software engineers to develop tools, end user UX, infrastructure and any other systems needed to productize validated ML modelsSource and extract signals from a range of structured and unstructured medical data to provide ML-driven insights for generating and optimizing the design of clinical trialsImplement and optimize data pipelines and inference models to meet production needs, and monitor and maintain models in productionFoster knowledge sharing and education to key product team members, internal stakeholders, and internal engineers about the feasibility, costs, and requirements for machine learning models applied to clinical trial designMentor more junior data scientists and ML engineers on the teamEngage with the latest developments in machine learning and AI applied to the clinical space. Continually develop skills, attend conferences, publish social media articles and papers. RequirementsUniversity degree in Computer Science, Machine Learning, Data Science, or another technical field that encompasses data analysis and predictive modelingMinimum 5+ years experience in ML/AI Engineer or Data Scientist roles building AI-powered product features at high performing technology organizations. Must be both deeply expert hands-on coding and a team leader. Experience in the healthcare or life sciences domain is preferredHands-on experience coding RAG LLM pipelines for production using LlamaIndex or similar tools (not just cloud services)Hands-on experience coding long-form text generation applications for production using data, prompt engineering, evaluation/validation methods, and GenAI LLMs (not just cloud services)Hands-on experience with code-based methods of training, prompting, fine-tuning, and evaluating commercial and open source LLMs and their respective Python libraries for production. Hands-on experience coding and optimizing advanced RAG methods and LLM agentic workflows with multiple LLMs for productionExpert in Python and production-grade experience in LLM frameworks such as LlamaIndex, LangChain, and LangGraphAbility to work collaboratively with cross functional teams, including presenting proposed technology vision, collaborating effectively with product, UX, sales, marketing, operations and other groupsAbility to move and prototype concepts quickly and have impact in a fast moving startup environment where there might be ambiguous requirements and competing prioritiesExperience working in and deploying models on an Azure environment is preferredBonus SkillsDemonstrated ability to rapidly assimilate state of the art AI research and related open source technologies and implement them for evaluationExperience working with clinical trials and their designAbility to lead the technical implementation and application of AI and large language models to complex problems, with the goal of generating significant business valueExperience with common ML frameworks like PyTorch, Scikit-Learn, Pandas, etcExperience leveraging platforms and tools for modeling workflow evaluation (weights&biases, neptune, MLFlow, etc.)Experience applying AI to sensitive corporate data hosted in private deployments is preferredA knack for creating compelling visualizations and non-technical explanations is a bonusBenefitsSalaryBase salary range for this position is $168,000 to $211,000Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or trainingEquityIn addition to this position's salary (listed above), equity will be a major component of the total compensation for this position. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuanceBenefitsHealth Care Plan (Medical, Dental & Vision)Retirement Plan (401k)Stock Option PlanLife Insurance (Basic)Short Term and Long Term DisabilityPaid Time Off (Flexible Vacation Policy, Sick & Public Holidays)Training & DevelopmentWork from Home, Office or Hybrid",Mid-Senior level,Senior AI Data Scientist
+772,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.A ""creative"" is the ad (in the form of a short-form video) served to TikTok users, composed of video, background music, call-to-action card, post-click landing page, and other formats that get delivered to users. A quote goes ""creativity is the soul of advertising"", because a good ad creative is effective, yet difficult to produce, especially at the scale of TikTok advertising.The TikTok Ads Creative & Ecosystem team's mission is to solve the above dilemma, by building industry-leading tech solutions for ads creative/landing page understanding, production/generation, and optimization, to inspire and empower advertisers, creators, and other 3rd parties in the ecosystem to create and deliver the best engaging creative experiences to the end users. Our work is at the core of TikTok and creator monetization. Examples of our team's work include TikTok video editor, AI-powered smart video generation (we are also exploring AIGC), and TikTok creative exchange (a creative marketplace to connect TikTok advertisers with creators or third-party creative agencies).We are user/product oriented and dedicated to technical excellence. We aim to drive and lead the technology renovation in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for ML engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!Responsibilities: Utilize algorithms to achieve a comprehensive understanding of advertisers, creators and creatives to improve the precision of match-making. Conduct online modeling on billion-level commercial traffic, optimizing the distribution strategy of creatives in recommendation system and ads system. Develop a scientific allocation strategy for both natural and ad traffic, aimed at increasing the short-term and long-term value for both advertisers and creators.QualificationsMinimum Qualifications: Bachelor's degree or above, majoring in Computer Science or related fields. 3+ years of relevant development experience and demonstrated knowledge of machine learning (RecSys/NLP/CV/GE), and experience in recommendation systems, computational advertising or operational planning algorithms. Solid foundation in data structures and algorithms, proficient in Python/C++/Golang languages. Passion for new technologies and proven capability in analysis and problem-solving. Good team player with strong communication skills; experience in project management ; strong perseverance and courage to help the business to a higher level.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer, TikTok Ads Creative & Ecosystem"
+773,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+774,2025-04-01,Palo Alto,CA,Glean,https://glean-it.com/glean,"Work AI for all. 
+
+The Work AI platform connected to all your data. Find, create, and automate anything.","About GleanWe’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work.We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. We’re a diverse team of curious and creative people who want to help each other get big things done—so we can help other teams do the same.We're backed by some of the Valley's leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.RoleGlean is looking for creative engineers to launch beautiful, smooth user facing features from within a modern React and TypeScript codebase. In a rapidly growing startup, this entails developing ideas with product designers to best balance constraints with requirements, delivering best-in-class user interfaces that run in modern mobile and desktop browsers, as well as creating frontend infrastructure to support rapid experimentation and development.What You Will Do And AchieveBuild delightful user interfaces with React.js in collaboration with stellar product designers and backend engineersOversee the entirety of your features from inception to launch and beyondWrite robust code that’s easy to read, maintain and testPush the boundaries of platform constraints to integrate an instant Glean experience into every workflowMentor more junior engineers or learn from battle tested onesWho You AreBA/BS in computer science, or related degreeExperience with a highly polished consumer grade React.js app, or 4+ with any web appKey Knowledge And SkillsThrive in a customer-focused, tight-knit and cross-functional environmentA proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large featuresPassionate about using open web technologies (HTML5/CSS/JS) to build pixel perfect, zero-latency, 60FPS user interfaces that run on all devices Comfortable in TypeScript, or JavaScript and type-curiousExperienced in or desire to master one or more of: Progressive Web Apps (PWA), Web Extensions, Electron, Capacitor, React, Redux, WebpackBenefitsCompetitive compensationMedical, Vision and Dental coverageFlexible work environment and time-off policy401kCompany eventsA home office improvement stipend when you first joinAnnual education stipendWellness stipendHealthy lunches and dinners provided dailyFor California Based ApplicantsThe standard base salary range for this position is $115,000 - $260,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.",Entry level,"Software Engineer, Frontend"
+775,2025-04-01,Chicago,Illinois,Northwestern Medicine,http://www.nm.org,"Northwestern Medicine is the collaboration between Northwestern Memorial HealthCare and Northwestern University Feinberg School of Medicine around a strategic vision to transform the future of healthcare. It encompasses the research, teaching, and patient care activities of the academic medical center. Sharing a commitment to superior quality, academic excellence and patient safety, the organizations within Northwestern Medicine comprise a combined workforce of more than 30,000 among clinical and administrative staff, medical and science faculty and medical students. Northwestern Medicine is comprised of more than 100 locations throughout the region, with five Northwestern Medicine hospitals ranked among “America's Best” by U.S. News & World Report, 2023 – 2024, our legacy of better medicine continues. What makes us better, makes you better.","Company DescriptionAt Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?Job DescriptionThe Senior Data Scientist reflects the mission, vision, and values of NM, adheres to the organization’s Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards.Northwestern Medicine Information Services drives innovative, high-value solutions to transform health care.We are committed to supporting the relentless pursuit of better medicine by providing exceptional service to our patients and guests as well as internal clients across the organization. To ensure excellence, our team goes to extraordinary lengths to ensure that our systems work together seamlessly.Northwestern Medicine understands that technology plays an integral role in shaping the future of health care. Information Services strategically supports the organization by:Enabling digital solutions by leveraging capabilities such as AI, automation, and rollout of advanced cyber controls that support digital transformation strategiesImplementing advanced technologies in clinical and administrative areasFurther develop end user support model to help enhance modern infrastructureResponsibilities:As a leader on the Data Science team, you will work with stakeholders to design, build, and evaluate solutions to business and clinical problems within the organization. You will use data, statistics, and machine learning tools to construct solutions that meet the requirements of the problem and deliver those solutions to make a tangible impact. We do not just build models; we collaborate with experts to understand and solve problems. Bring a product mindset to a technical field to design solutions that deliver value and can be maintained. Help train the rest of the team to have that same mindset. This role is dedicated to the Canning Thoracic Institute and will conduct research and development as well as prototyping advanced technology solutions to enhance medical training, improve quality of care, and enable timely interventions for pulmonary and thoracic patients. Contribute to the development of advanced technologies that enable the use of medical data across a variety of disciplines and modalities (e.g., lung sounds gathered from digital stethoscopes, electrocardiogram waveforms, videos of the airways (bronchi) in the lungs, CT imaging, clinical notes, etc.)QualificationsRequired:Master's degree or equivalent experience in CS, Engineering, Math, Physics, or a related fieldAt least 5 years of experience in machine learning with a focus on model building, analysis of outcomes, and model deploymentProfessional experience using cloud platforms like Azure for scalable data processing and model deploymentProficiency in SQL, Python, and a deep learning library like PyTorchStrong problem-solving skills. Able to analyze complex problems, break them down into manageable components, and develop effective solutionsWorks well with ambiguity. Can navigate a complex problem with little guidance and still deliver resultsStrong stakeholder management skills. Experience building and growing relationships with stakeholders to ensure alignment and successful implementation of data-driven solutionsAble to mentor the rest of the team on topics like programming, deployment, maintenance, project lifecycle, working with stakeholders, etc. Systems level thinking. Ability to think about how a solution will be used and identify other components that need to be built or integratedExperience running projects from inception to deployment. Familiar with the product development lifecycleExperience leading and influencing cross-functional teamsProduct mindset. Able to identify and design solutions that solve a family of problems when relevant, as opposed to treating every problem as unique. Design systems so they can be maintainedPreferredPhD in Computer Science, Engineering, Mathematics, or a related fieldKnowledge of audio processing techniques and algorithmsCollect, preprocess, and augment audio datasets, converting raw audio into spectrogram imagesApply techniques like data augmentation (noise addition, time shifting, etc.) to enhance model robustnessStrong understanding of image processing techniques and algorithmsExperience with traditional and modern computer vision techniques (e.g. object detection, image segmentation, image, and feature extraction)Domain knowledge in healthcare. Understanding of healthcare terminology, workflows, and challenges, enabling effective collaboration with clinicians and healthcare professionalsHealth care data integration experience (PHI/HIPAA, HL7 FHIR)Familiarity with FDA regulation for software as a medical deviceExperience-making strategy decisions for a team while considering short- and long-term impactsAdditional InformationNorthwestern Medicine is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.If we offer you a job, we will perform a background check that includes a review of any criminal convictions. A conviction does not disqualify you from employment at Northwestern Medicine. We consider this on a case-by-case basis and follow all state and federal guidelines.",Not Applicable,"Senior Data Scientist, Full-time, Days"
+776,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are also exploring how to leverage LLM to further enhance TikTok users search experience, potentially sharping the search engine for the next generation. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding from the perspective of the video itself and social network, improve authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Data-Search-TikTok.US - San Jose) - 2025 Start (PhD)
+777,2025-03-25,Cambridge,MA,Flagship Pioneering,http://www.flagshippioneering.com,"Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple transformative human health and sustainability products. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures. 
+
+The current Flagship ecosystem comprises over 40 companies, including Denali Therapeutics, Foghorn Therapeutics, Generate:Biomedicines, Inari, Indigo Agriculture, and Tessera Therapeutics. ","The CompanyFL100, Inc. is a privately held, early-stage company pioneering the use of artificial intelligence-based agents to build an integrated, end-to-end platform for AI-driven product innovation. FL100 has created intelligent and reliable AI agent-powered workflows for emergent product innovation. Emergent product innovation leads to new products with breakthrough market adoption that generate new sources of value by solving for large unmet consumer needs and creating demand that did not exist previously.We're leveraging multi-agent systems to accelerate growth, speed up product design innovation, and automate e-commerce operations. Our vision is to create a multi-platform service that empowers anyone to build and operate an e-commerce business efficiently. Currently, we offer a Shopify app that demonstrates our capabilities, with plans to expand across various e-commerce platforms and online marketplace.FL100 is backed by Flagship Pioneering, an innovation enterprise that conceives, creates, resources, and builds companies that invent breakthrough technologies to transform health care, agriculture, and sustainability. Flagship has created over 100 groundbreaking companies since 2000, including Moderna.The RoleWe’re seeking a Machine Learning Engineer to develop and operationalize advanced AI solutions for our multi-agent e-commerce automation platform. You will design and implement end-to-end ML workflows—encompassing data pipelines, model training, and production deployment. This hands-on role requires strong collaboration with AI/ML researchers, software engineers, and product managers to create impactful, AI-driven products that integrate seamlessly with e-commerce platforms and online marketplaces (e.g., Shopify, Amazon, eBay).Key ResponsibilitiesDesign and implement end-to-end ML pipelines, from data ingestion and feature engineering to model deployment. Collaborate with cross-functional teams (AI researchers, backend developers, product managers) to build production-ready AI services and APIs. Develop and maintain scalable model serving infrastructure (e.g., using Docker, Kubernetes, FastAPI, or Flask). Integrate ML models with various e-commerce (Shopify, WooCommerce) and online marketplace (Amazon, eBay) data sources to enable seamless, real-time decision-making. Implement CI/CD processes and automated testing for rapid experimentation, A/B testing, and model releases. Monitor and troubleshoot model performance and reliability, proactively detecting drift or anomalies and implementing improvements. Optimize data pipelines and model architectures for speed, scalability, and cost-efficiency in a cloud-native environment. Stay current with emerging ML/AI trends and technologies, driving continuous improvement and innovation in our platform. Qualifications3+ years of hands-on experience in machine learning engineering or related roles. Proficiency in Python and popular ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Demonstrated ability to serve ML models at scale (e.g., Docker, Kubernetes, AWS Sagemaker, or equivalent MLOps tools). Strong grasp of data engineering practices, including ETL pipelines, data validation, and feature engineering. Familiarity with cloud services, preferably AWS (S3, EC2, ECR, Lambda, ECS/Fargate). Experience with CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or equivalent). Excellent collaboration skills and comfort working in a fast-paced environment. Problem-solving mindset and ability to communicate complex ideas effectively. Preferred QualificationsExperience with LLMs or Agentic systems. MLOps expertise using tools such as MLflow or Kubeflow. Familiarity with e-commerce or online marketplace API integrations (Shopify, WooCommerce, Amazon, eBay). Advanced degree (MSc or PhD) in Computer Science, AI, or related field. Knowledge of serverless architectures and microservices. AWS certifications (e.g., Machine Learning Specialty, Solutions Architect). Exposure to big data technologies (Spark, Hadoop) for large-scale data processing. Front-end or full-stack experience (React, Node.js) for quick prototyping. Values and BehaviorsConstant Learner: Seeks out emerging ML/AI trends and harnesses them for practical impact. Customer-Obsessed: Designs solutions that deliver real value to users, keeping the customer’s needs at the forefront. Mission-Oriented: Committed to bringing breakthrough AI technologies to market. Entrepreneurial Spirit: Embraces ambiguity and drives innovative solutions independently. Works with Velocity & Urgency: Efficiently tackles challenges with a results-driven approach. Collaborative: Partners effectively with cross-functional teams and stakeholders. Accountable: Maintains ownership of initiatives and delivers on commitments. Growth Mindset: Views experimentation and iteration as opportunities for improvement. Innovative: Thinks outside the box to advance AI-driven product innovation. About FlagshipFlagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in generation of over 500 patents, initiation of over 50 clinical trials for novel therapeutic agents and an aggregate value of more than $90 billion. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.",Entry level,Machine Learning Engineer
+778,2025-03-25,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The Generative AI Production TeamThe Post-Training pod under Generative AI Production Team is at the forefront of refining and enhancing generative AI models for advertising, content creation, and beyond. Our mission is to take pre-trained models and fine-tune them to achieve state-of-the-art (SOTA) performance in vertical ad categories and multi-modal applications. We optimize models through fine-tuning, reinforcement learning, and domain adaptation, ensuring that AI-generated content meets the highest quality and relevance standards.We work closely with pre-training teams, application teams, and multi-modal model developers (T2V, I2V, T2I) to bridge foundational AI advancements with real-world, high-performance applications. If you are passionate about pushing cognitive boundaries, optimizing AI models, and elevating AI-generated content to new heights, this is the team for you.As a Machine Learning Platform Engineer, you will drive the development of our AI platform, ensuring scalability, efficiency, and robustness for training and serving large-scale diffusion models and multimodal generative AI systems. You will work closely with model researchers, infrastructure engineers, and data teams to optimize distributed training, inference efficiency, and production reliability.Responsibilities Architect and develop scalable and efficient AI infrastructure to support large-scale diffusion models and multi-modal generative AI workloads. Optimize large model training and inference using PyTorch, Triton, TensorRT, and distributed training libraries (DeepSpeed, FSDP, vLLM). Implement and optimize model using sequence parallelism, pipeline parallelism, and tensor parallelism etc to improve performance on high-throughput training clusters. Scale and productionize generative AI models, ensuring efficient deployment on heterogeneous hardware environments (H100, A100, etc.). Develop and integrate model distillation techniques to enhance the efficiency and performance of generative models, reducing computation costs while maintaining quality. Design and maintain an automated model production pipeline for training/inference at scale, integrating distributed data processing frameworks (Ray, Spark, or custom solutions). Enhance platform stability and efficiency by refining model orchestration, checkpointing, and retrieval strategies. Collaborate with cross-functional teams (ML researchers, software engineers, infrastructure engineers) to ensure seamless model iteration cycles and deployments. Stay ahead of emerging trends in deep learning architectures, distributed training techniques, and AI infrastructure optimization, integrating best practices from academia and industry.QualificationsMinimum Qualifications: B.S., M.S., or Ph.D. in Computer Science, Electrical Engineering, or a related field. 3+ years of hands-on experience in large-scale machine learning infrastructure and distributed AI model training. Deep expertise in PyTorch, CUDA optimization, and ML frameworks such as DeepSpeed, FSDP, and vLLM. Proven experience in optimizing diffusion models, sequence parallelism, and large-scale transformer-based architectures. Strong understanding of high-performance computing, low-latency inference, and GPU acceleration techniques. Hands-on experience in scaling AI infrastructure, leveraging Kubernetes, Docker, Ray, and Triton inference servers. Deep understanding of AI model orchestration, scheduling, and optimization across large clusters. Proficiency in profiling and debugging large-scale model training and inference bottlenecks.Preferred Qualifications: Experience deploying multi-modal generative AI models in production. Expertise in compiler-level optimizations, TensorRT, and hardware-aware model tuning. Familiarity with large-scale AI workloads in cloud environments (AWS, GCP, Azure). Strong software engineering background, with a focus on scalability, efficiency, and reliability.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer - Platform, Monetization Generative AI"
+779,2025-03-07,San Francisco,California,TwelveLabs,http://www.twelvelabs.io,The world's most powerful video intelligence platform for enterprises.,"Who We AreAt Twelve Labs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities.Twelve Labs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.About The RoleAs a Software Engineer, Machine Learning at Twelve Labs, you will drive our ML systems + platform engineering efforts in all facets of our e2e ML & engineering workflows. Delivering highly reliable, low latency, high throughput services is the essence of the role. This role is a perfect fit for experienced engineers with some past machine learning experience who want to go deep on unsolved problems in multimodal AI systems, orchestration, operations, and deployment.In This Role, You Will:Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency systemsCraft performant APIs using modern Python toolsBuild the highest impact, not the flashiest, libraries and servicesMentor junior engineers/researchers, and hold a high bar around code quality / engineering best practicesLead by example in interviewing, hiring, and onboarding passionate and empathetic engineersYou May Be A Good Fit If You Have:6+ years of relevant industry experience Designed production services using Python, Postgres, FastAPI, SQLAlchemy, Pydantic (and friends)Demonstrated experience as a technical lead to deliver projects end to end Exposure to machine learning models in production environments (e.g. deployment, serving, lifecycle management, monitoring)Strong Candidates May Also Have Experience:Scaling ML systems and/or data infrastructure to workloads of petabyte+ scaleBuilding Kubernetes-based systems for distributed data/ML workflowsInterview Process Recruiter Phone Screen Initial Technical Assessment Hiring Manager Interview Onsite Technical Interview [In-Person] Final Interview: CultureEven if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at Twelve Labs.We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.Benefits And Perks🤝 An open and inclusive culture and work environment.🧑‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology.🦷 Full health, dental, and vision benefits.✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.🛂 VISA support (such as H1B and OPT transfer for US employees).Compensation Range: $225K - $325K",Mid-Senior level,"Software Engineer, Machine Learning"
+780,2025-03-19,Boston,Massachusetts,Motion Recruitment,http://www.motionrecruitment.com,"Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software, Mobile, Data, Infrastructure, Cybersecurity, Product + UX and Functional.
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+Motion also delivers IT Consulting Solutions through the Motion Consulting Group (MCG) that create true digital transformation for IT projects in Agile Development & Coaching, DevOps & DevSecOps Solutions, and Managed Services for IT Operations.
+ 
+We’re also the proud creators of Tech in Motion and the Timmy Awards, our North American community platform, events series and award program that connects over 250,000 tech enthusiasts to meet, learn, and innovate.","Job Responsibilities:Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables.Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors.Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.Collaborate with client personnel in Software Engineering.Contribute to all aspects of the Software Development Lifecycle (SDLC) from requirement gathering, design, development, testing and overall technical design, development using – Python, Spark, Django, Jenkins, API, CI/CD, DevOps tools, Postgres SQL Database along with other technology and integration tools.Required Skills/Experience:4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.API development, cloud-native architectures, and Generative AI frameworks like LLaMA, Mistral etc.FastAPI, Unicorn, and SwaggerPython, Apache Spark (PySpark), Kubernetes, DjangoApache Kafka for real-time data streaming, and distributed computing frameworks.Experience in optimizing and deploying AI models on GPU clusters, leveraging parallel processing capabilities for large-scale deep learning and generative AI applications.Multi-GPU training and distributed computing frameworks such as TensorFlow Distributed, PyTorch Distributed, and Horovod to accelerate AI/ML workloads.configuring and managing NVIDIA GPU and GCP (TPUs, GPU instances).",Mid-Senior level,Machine Learning Engineer
+781,2025-04-01,Wimbledon,London,Harnham,http://www.harnham.com,"Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com 
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+Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. 
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+Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.
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+Our five core services:
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+* ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a 
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+* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
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+* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
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+* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
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+* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.","Machine Learning Engineer – AI & Cloud OptimizationHybrid – 3 days onsite in NYC$180,000–$220,000 + EquityA fast-growing startup is building next-generation AI-driven cloud solutions, helping businesses optimize and automate their cloud infrastructure. With cloud spending surging and AI reshaping the industry, this company is developing cutting-edge tools to give organizations real-time insights, cost control, and enhanced efficiency. Backed by top-tier investors and trusted by leading tech companies, they are expanding their engineering team to scale their AI-powered platform.The RoleThis is a hands-on role for an experienced AI/ML engineer eager to shape AI-driven cloud automation tools. You’ll work closely with leadership to develop and deploy machine learning models that power cost optimization, predictive analytics, and AI-driven automation.Design, build, and deploy ML models that enhance cloud efficiency and automationOptimize and integrate LLMs to support AI-powered decision-makingBuild AI-driven tools for cloud cost forecasting and infrastructure rightsizingImplement secure, scalable ML pipelines across multi-cloud environments (AWS, GCP, Azure)Collaborate with engineering and product teams to align AI capabilities with business needsStay ahead of emerging AI trends and apply cutting-edge techniquesThe Ideal CandidateProven commercial years of hands-on experience in ML/AI model development and deploymentStrong Python skills, with exposure to Go and SQL being a plusExperience with cloud infrastructure, distributed computing, and model deployment at scaleProficiency in ML frameworks like PyTorch, Hugging Face, LangChain, and vector databasesSecurity-focused approach to AI infrastructure and model deploymentStartup mindset – comfortable with ambiguity and excited to build from 0 to 1Strong communication skills and the ability to convey complex technical conceptsWhy Join?This is an opportunity to be part of a rapidly growing company at the intersection of AI and cloud computing. You'll have a direct impact in shaping an industry-leading platform while working in a dynamic and fast-paced environment. Competitive compensation, equity, and strong growth opportunities make this a compelling role for top-tier ML engineers looking for their next challenge.KeywordsMachine Learning | AI | Cloud Optimization | LLM | Predictive Analytics | Cloud Infrastructure | AWS | GCP | Azure | Cost Optimization | Model Deployment | Python | PyTorch | Hugging Face | LangChain | Vector Databases | Distributed Computing | Security | Automation | Startup | Scalability | AI-driven Decision Making | Financial Modeling | Infrastructure Rightsizing | Hybrid Role | NYC Tech | AI-powered Cloud ManagementHow to ApplyIf you are a motivated AI/ML Engineer who is excited to make a difference in an impactful startup, send your resume to Virginia via the Apply link on this page.",Mid-Senior level,Machine Learning Engineer
+782,2025-03-31,Concord,Massachusetts,ERG,http://www.erg.com,"ERG is a multidisciplinary consulting firm offering a broad range of professional services. From offices across the country, we serve a spectrum of public and private clients, including federal agencies, state governments, corporations, and universities.","ERG is a research and consulting firm that provides a wide range of support to federal, state, and commercial clients. ERG offers multidisciplinary teams with nationally recognized skills in engineering, science, economics, public health, informational technology, and communications. We hire people with the best minds and then provide them with a vibrant and flexible environment in which to develop their careers. The qualified individual must be highly motivated with the skills to prioritize, perform, and communicate effectively in a fast-paced environment. ERG is seeking an experienced Data Scientist to independently develop and lead projects focused on information extraction from documents. This data scientist will be working within the newly established Product Impact group helping ERG build a key database of environmental product declarations and product category rules.Job Description:Lead the development and implementation of data extraction solutions from various document typesDesign, develop, and maintain algorithms and models for information extractionEnsure the integrity and accuracy of extracted dataPrepare technical design documents and specificationsConduct technical reviews of data extraction solutions created by others to ensure compliance with applicable standards, codes, and regulations, as well as end-user requirementsSupport the data extraction process from concept through delivery of the completed solutionCollaborate and communicate effectively with other stakeholders, both internal and external, and the development team (e.g., engineering department, IT department)Qualifications and Skills: A minimum of 3 years of experience in data science is required; 5+ years is preferredAt least three years of experience with information extraction from documentsExperience with machine learning and generative AI models and APIsProficiency in Python and relevant data science librariesExperience with cloud platforms, preferably Google Cloud Platform (GCP)Experience working with lifecycle assessment, greenhouse gas emissions data and/or supply chain platforms is a plusAbility to prioritize, perform, and communicate effectively in a fast-paced environmentERG offers competitive salaries and excellent benefits, including health and dental insurance, life insurance, long-term disability, educational benefits, FSAs, a generous 401k plan, profit sharing, an EAP, 11-20 paid vacation days per year, 10 paid holidays per year, 56 hours or more of sick leave (based on the state you work in) per year (pro-rated for part-time) and more. The salary range for all positions depends on the years and type of experience.   ERG is an equal opportunity employer and complies with all applicable EEOC regulations. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual preference, national origin, disability, or status as a protected veteran.     Please be aware, the only authentic corporate domain for ERG is https://www.erg.com.  ERG may, on occasion, screen applicants via telephone or video interviews via Skype, Teams, GoToMeeting, or another type of video platform. However, any candidate extended a job offer might be asked to meet in person with an ERG employee before providing confidential personal information associated with new employment.   If you’re a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access ERG’s online application process as a result of your disability. To request accommodation, please contact Human Resources via email at Resumes-Lex@erg.com or call (781) 674-7293.   ERG fosters a friendly, flexible work environment. ERGers are dedicated to serving clients who are committed to making the world a better place. We promote and recognize principles of fairness and respect in the work we do, the partnerships we foster, and the culture we value both within and outside of our organization. ",Mid-Senior level,Data Scientist
+783,2025-04-02,Dania Beach,Florida,IntelePeer,https://www.intelepeer.com,"IntelePeer simplifies communications automation through advanced AI-powered solutions, helping businesses and contact centers reduce costs, enrich the customer experience, and accelerate ROI. Driven by generative AI, the company’s Communications Automation Platform works seamlessly within existing business software and infrastructure, enabling brands to automate complex processes quickly and effortlessly. Built for business users, IntelePeer's vendor-neutral platform and low-code solutions leverage world-class AI and analytics, empowering businesses to proactively resolve potential pain points and maintain context across channels and throughout the orchestrated customer journey. Follow us on Twitter (@IntelePeer) for the latest company updates and industry insights.","About IntelePeer.aiIntelePeer Cloud Communications helps customers communicate better, faster and smarter, through its Communications Automation Platform. Our low- and no-code solutions provide customers with simple, easy-to-use tools that can be utilized by anyone. Powering automation through AI and analytics, IntelePeer provides industry-leading time-to-value and rapid time to improved customer experiences with solutions that work seamlessly with existing business software and infrastructure.What We Are Looking ForAs a Senior Machine Learning Engineer with a focus on NLP, you will lead the design, development, and optimization of state-of-the-art transformer-based models. You will play a key role in the full ML lifecycle, including data preprocessing, model building, fine-tuning, transfer learning, evaluation, and deployment. You will also be responsible for ensuring model performance and fairness by addressing biases and ensuring ethical AI practices.Key ResponsibilitiesDesign, implement, and optimize NLP models with a strong focus on transformer-based architectures (e.g., BERT, GPT, T5).Build and fine-tune models for a variety of NLP tasks, such as text classification, sentiment analysis, named entity recognition (NER), machine translation, and question answering.Develop and implement strategies for transfer learning to leverage pre-trained models effectively in various domains.Lead the evaluation of model performance using metrics such as accuracy, precision, recall, and F1 scores, while ensuring robustness and fairness in predictions.Conduct research to detect, mitigate, and manage biases in ML models, ensuring ethical and transparent AI solutions.Optimize model inference and ensure low-latency performance in real-time applications.Mentor junior engineers and provide technical leadership in ML/NLP best practices.Stay current with the latest advancements in NLP, transformer architectures, and ML techniques to drive continuous improvement.RequirementsProven expertise in NLP with at least 5 years of hands-on experience in building and deploying NLP models.Strong knowledge of transformer-based models (e.g., BERT, GPT, RoBERTa, T5, etc.) and experience in fine-tuning pre-trained models.Solid understanding of machine learning fundamentals, including deep learning, neural networks, and transfer learning techniques.Proven experience in evaluating model performance and using advanced metrics to assess bias and fairness in predictions.Experience in using frameworks such as PyTorch, TensorFlow, Hugging Face, or other popular ML libraries.Knowledge of bias detection and mitigation techniques in machine learning models.Experience with cloud-based ML services (e.g., AWS, GCP, Azure) and MLOps pipelines for deploying models at scale.Proficiency in programming languages like Python, as well as experience with data processing tools such as Pandas and Numpy.Strong problem-solving skills, attention to detail, and ability to lead complex ML projects from inception to deployment.Excellent communication skills and the ability to work collaboratively in a fast-paced, dynamic environment.Experience working with large-scale datasets and implementing distributed machine learning systems.Why You'll Love It HereUnlimited Vacation for exempt employeesPaid HolidaysCompetitive medical, dental & vision insurance for employees and their dependents401K Retirement PlanStock OptionsCompany-paid life insuranceHealth & Flexible Savings AccountsCell phone, gym, and internet reimbursementPaid Parental LeaveTuition ReimbursementEmployee Assistance Program (EAP)Free snacks (Denver, and or Fort Lauderdale)Fun events (virtual and in-person)Applicants must be authorized to work for any employer in the U.S.We are unable to sponsor or take over sponsorship of an employment visa at this time.Any requests to exercise your rights as a data subject under GDPR should be submitted to infosec@intelepeer.com for prompt processing. Please refer to our Privacy Policy (at www.intelepeer.com/privacy/intelepeer-privacy-policy) for any questions on how IntelePeer complies with GDPR.For California residents only: Please refer to the link below for IntelePeer’s Applicant CCPA Privacy Notice. https://intelepeer.com/privacy/intelepeer-california-applicant-privacy-notice/IntelePeer participates in E-Verify.",Mid-Senior level,Senior Machine Learning Engineer
+784,2025-04-07,Sydney,NSW,Atlassian,https://atlassian.com/,"Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone.
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+From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. 
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+Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time.
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+With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software.
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+We believe the power of teams has the potential to change the world—one that is more open, authentic, and inclusive.","OverviewWorking at AtlassianAtlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.About Central AI OrgOur organisation is designed to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future. Our purpose is to:Build horizontal AI capabilities and infrastructure which provides leverage across productsBuild a centralised Search, Q&A and Conversational AI across all Atlassian products.Explore integration of Atlassian products with AI products outside Atlassian.About AI & ML Platform TeamOur team is building the foundations to democratise Machine Learning for Atlassian's teams, customers and ecosystem. Our goal is to create tools that are user-friendly and reliable, ensuring that Atlassian teams can easily embrace and utilize them. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences. They will seamlessly integrate with the Atlassian Data Platform, enabling teams to efficiently and rapidly incorporate AI & ML capabilities into their workflows. The focus is on providing a smooth and hassle-free experience for Atlassian users, allowing them to leverage the power of AI & ML without any complications.ResponsibilitiesAs a Senior Engineer on the AI & ML Platform team, you will build and scale the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines. Along with that, you will build systems for product teams like Jira & Confluence to provide access to curated LLMs. You will use your software development expertise to solve difficult problems, tackling infrastructure and architecture challenges.You will have the opportunity to lead engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results.In This Role, You'll Get The Chance ToRegularly tackle complex problems in the team, from technical design to launch.Routinely tackle complex architecture challenges and defines coding standards & patterns for the team.Lead the team through times of ambiguity, help them adapt and and deliver positive impact.Mentor junior members on the team.Our tech stack is primarily Java/Kotlin built on AWS.QualificationsFluency in at least one modern object-oriented programming language (preferably Java/Kotlin).Understanding and experience with Machine Learning project lifecycle and tools.Understanding of LLMs, best deployment practices and inference optimisation.Experience in building and implementing high-performance RESTful micro-services.Experience building and operating large scale distributed systems using Amazon Web Services (Sagemaker, S3, Cloud Formation, AWS Security and Networking).Experience with Continuous Delivery and Continuous Integration.CompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:Zone A: $176,200 - $235,000Zone B: $158,600 - $211,500Zone C: $146,300 - $195,000This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.Our Perks & BenefitsAtlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.About AtlassianAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.To learn more about our culture and hiring process, visit go.atlassian.com/crh .",Mid-Senior level,Machine Learning Systems Engineer
+785,2024-10-31,San Francisco,,Magic,https://magic.dev/,"Magic is working on frontier-scale code models to build a coworker, not just a copilot. Come join us: http://magic.dev","Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.About the role:As a Software Engineer working on our pretraining data, you write efficient and robust pipelines for giant, multimodal datasets. You will develop and optimize web scraping techniques to harvest and maintain data at internet-scale.What you might work on:Design & implement multimodal (video, audio, text etc) web crawlers for scraping and indexing petabytes of dataCreate large scale data processing pipelines using tools like Ray, Apache Spark, Apache Flink, Google BigQuery etc. Implement and scale deduplication techniques across modalities and apply heuristic and model-based techniques for parsing and filtering crawled dataIdentify new data sources for inclusion in pre/post-training datasetsWhat we’re looking for:Strong proficiency in distributed computing and parallel processing techniquesObsession with details, reliability, and good testing to ensure data quality and integrityExperience with designing and maintaining high-performance, scalable data architecturesAbility to design, develop and operate an LLM data pipeline from web scraping to data loadingMagic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience.Our culture:Integrity. Words and actions should be alignedHands-on. At Magic, everyone is building Teamwork. We move as one team, not N individualsFocus. Safely deploy AGI. Everything else is noiseQuality. Magic should feel like magicCompensation, benefits and perks (US):Annual salary range: $100K - $550KEquity is a significant part of total compensation, in addition to salary401(k) plan with 6% salary matchingGenerous health, dental and vision insurance for you and your dependentsUnlimited paid time offVisa sponsorship and relocation stipend to bring you to SF, if possibleA small, fast-paced, highly focused team",Entry level,Software Engineer - Pretraining Data
+786,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $173,000-$259,000 annually.Zone B:The base salary range for this position is $164,000-$246,000 annually.Zone C:The base salary range for this position is $147,000-$220,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 4"
+787,2025-03-11,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.Software Engineer, Systems ML - Wearables AI Responsibilities:Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiencesGoal setting related to project impact, AI system design, and infrastructure/developer efficiencyDirectly or influencing partners to deliver impact through thorough data-driven analysisDrive large efforts across multiple teamsDefine use cases, and develop methodology & benchmarks to evaluate different approachesApply in depth knowledge of how the ML infra interacts with the other systems around itMentor other engineers / research scientists & improve the quality of engineering work in the broader teamMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-designExperience developing AI-System infrastructure or AI algorithms in C/C++ or PythonPreferred Qualifications:A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.Experience with distributed systems or on-device algorithm developmentExperience with recommendation and ranking modelsTechnical leadership experienceAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Systems ML - Wearables AI"
+788,2025-03-22,San Francisco,California,Pinterest,https://www.pinterest.com/,"Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 550+ million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments. ","About PinterestMillions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.What You’ll DoBuild cutting edge technology using the latest advances in deep learning and machine learning to personalize PinterestPartner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areasUse data driven methods and leverage the unique properties of our data to improve candidates retrievalWork in a high-impact environment with quick experimentation and product launchesKeep up with industry trends in recommendation systems Leverage LLMs to enhance content understandingWhat We’re Looking For 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)Degree in computer science, statistics, or related fieldEnd-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systemsNice to have:M.S. or PhD in Machine Learning or related areasPublications at top ML conferencesExpertise in scalable realtime systems that process stream dataPassion for applied ML and the Pinterest productBackground in computational advertisingRelocation Statement:This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.Information regarding the culture at Pinterest and benefits available for this position can be found here.US based applicants only$129,818—$267,272 USDOur Commitment To InclusionPinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.",Mid-Senior level,"Machine Learning Engineer, Monetization Engineering"
+789,2025-04-08,New York,NY,Shields Group Search,https://www.shieldsgroupsearch.com/,"Shields Group Search specializes in serving early stage VC and PE backed companies. We offer recruitment and hiring solutions that are industry-agnostic with a particular emphasis on commercial and operational roles. Leveraging tech enabled sourcing and an unwavering commitment to selectivity, our firm identifies and recruits the best candidates to meet your business needs. 
+
+Backed by a team of seasoned professionals, we ensure confidentiality, quality, and efficiency, in every search, providing our clients with a distinctive competitive edge. At Shields Group Search, we don't just fill roles; we build partnerships. 
+
+Official Recruitment Partner of LvlUp & NextUp Ventures: https://www.lvlup.vc/
+
+General Inquiries: contact@shieldsgroupsearch.com
+Recruitment Services: thomas@shieldsgroupsearch.com","💥 AI/ML Founding Engineer | First Engineering Hire | VC-Backed StartupWe’re working with a venture-backed seed-stage startup on a mission to bring cutting-edge AI to one of the most complex, overlooked industries in the economy: commercial insurance. They’ve just raised fresh funding and are tackling dense, technical workflows using LLMs, NLP, and automation.They’re hiring their first engineer—someone who wants to build the AI core of the company from scratch, work directly with the founding team, and shape both the product and culture from day one.💻 What You’ll Work OnBuild and fine-tune NLP systems to extract structured data from jargon-heavy documentsLead development and optimization of large language models tailored to complex insurance workflowsArchitect human-in-the-loop training pipelines that leverage user feedback for continual model improvementApply computer vision to parse data from PDFs, scanned docs, and other unstructured formatsBuild intelligent agents to automate interactions with complex web interfaces using tools like Playwright or SeleniumDesign robust evaluation pipelines and benchmarking frameworksHelp architect scalable infrastructure for training, inference, and feedback collectionCollaborate cross-functionally with the founding team and early users to shape both what gets built—and how🌟 Who You AreComfortable with ambiguity and energized by building things that don’t exist yetA clear communicator who can break down complex technical decisions to both engineers and non-technical stakeholdersWilling to challenge ideas, but quick to commit and align once a direction is setSelf-aware, curious, and grounded—you know your strengths and your gapsA natural leader who takes ownership and leads by example✅ Ideal Candidate ProfileNLP & LLM Expertise:Hands-on experience fine-tuning LLMs (OpenAI, Hugging Face, etc.)Strong grasp of transformer architectures, embeddings, and retrieval-augmented generation (RAG)Real-World AI Experience:Proven ability to ship ML systems into production under real-world constraintsProduct-minded with an eye for speed, iteration, and user feedbackFeedback Loop & Training Architecture:Experience designing human-in-the-loop systems or user-driven model improvementRPA:Familiarity with browser automation tools (Playwright, Selenium) is a strong plusEngineering Foundation:4+ years of experience in backend, data, or infrastructure rolesPython expertise; JS/React/Node knowledge helpfulStartup Mindset:Fast-moving, adaptable, and comfortable working with imperfect information🧠 Tech Stack Python | Node.js | React | MongoDB | Playwright | Selenium | AWS📍 Location Fully remote, with preference for candidates in or open to travel to Denver, CO for occasional planning sessions or team off-sites.💰Compensation + PerksCompetitive salary + founder-level equityUnlimited PTO100% covered health, dental, and vision insuranceRemote flexibility with in-person collaboration as neededOpportunity to help define the foundation of a company—tech, product, and culture",Mid-Senior level,Machine Learning Engineer
+790,2025-04-09,Seattle,WA,Prodeen,www.prodeen.com,"We’re building Prodeen—a platform that lets anyone create, launch, and scale new consumer products without battling spreadsheets, outdated tools, or siloed teams.
+
+We’re a small crew of repeat founders, data buffs, regulatory experts, and CPG insiders who’ve seen firsthand how slow and painful product development can be. So we’re fixing it.
+
+Prodeen connects the dots across R&D, compliance, quality, and marketing—so your teams can move faster, stay aligned, and bring safer, better products to market with less stress. All in plain English.","Prodeen's mission is to be the go-to technology for product development and compliance within the Consumer Packaged Goods (CPG) industry. When you think about search, you think Google. AI chat, GPT. Figma for design. That’s the level of recognition we aim for when users come to develop and manage a CPG product. We’re moving beyond the hype of AI with a focus on developing intelligent workflows powered by agents that tackle specific tasks across the product lifecycle. Continuous learning from our clients, partners, and colleagues is core to our approach, allowing us to create exceptional software and deliver outstanding service. If this resonates with you, we encourage you to reach out.Data ScientistThe Data Scientist will take full ownership of the data pipeline and play a key role in strategic decision-making. The data infrastructure will directly impact our software and workflows, shaping them significantly. The data itself will be sourced from LLMs, our industry-specific data bank, and proprietary client data. What You Will BringOur team has founded companies, built software from scratch, and grown business lines from infancy to market leading positions. We are looking for someone with a proactive, ownership mentality to become a core contributor to what we are doing. Desire to work on something completely new with past experience in individual ownership of projects or businesses4+ years of experienceExpert in SQL, PythonRobust understanding of statistical and machine learning methodsProduction experience of running ML models including orchestrating/managing training process of custom models as well as continued evaluation of deployed modelsExperience with training of complex, unstructured documentsKnowledge of the CPG industry (food, beverage, cosmetics, personal care) and added bonusWhat We OfferAbility to shape the role in a way that maximizes your potentialFlexible work environment in a remote role - you know when and how to be the most productiveCompetitive salary and role trajectory that grows as we do - you have the opportunity to get in on the ground floorEquity - we have an employee stock option plan to attract those who seek more than just a salary alone",,Data Scientist
+791,2025-04-07,Tampa,Florida,"Iron EagleX, Inc.",http://www.ironeaglex.com,"Iron EagleX is an agile customer focused team. We are passionate people solving tough problems and bringing modern technology solutions and practices to our Government customers. We deliver engineering solutions in cloud computing, big data, cyber, and machine learning technologies to modernize and migrate systems to the cloud. We take on and fill advanced operational and mission support gaps and can adjust to requirements while sustaining excellence in execution and performance.
+
+We seek out like-minded people to join our thriving team. If you are a creative hard charger, who likes working on challenging problems in a fast-paced mission critical environment, and who is up for multiple challenges and opportunities without drama and obstacles to do your job, please reach out to us. We are interested in discussing how you can join our team. ","OverviewIron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.ResponsibilitiesJob Description:The Data Scientist will formulate and lead guided, multifaceted analytic studies against large volumes of data. Develop AI/ML models to enrich data providing further utility to the analysts. Conducts complex data assessments to determine operational utility of proposed data sets in answering priority intelligence requirements. Develop and maintain data pipelines to ingest applicable data into AI/ML engines and tools. Discovers links and connections in disparate datasets providing context to intelligence analysts.Responsibilities:Job Duties Include (but not limited to):  Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Coordinate with Data Engineers to build Data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel AnalystsCoordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Develop and deploy AI/ML models to enrich SOCOM data holding in support of priority intelligence requirements.Create advanced analytic models leverage multi-modal datasets to answer complex intelligence Lead all data experiments tasked by the IDSTQualificationsRequired Skills & Experience: Python, R, Natural Language Processing (NLP), AI/ML OpsCan write in modern coding languages; Python & JavaScript required; Experience with Flask and React preferred.Can read and understand other coding languages; HTML/CSS, R, Java, C, C++, C#Create respective process documentation using a web-based version control Experience with Gitlab and Jira Provide written and verbal communication and respective business process Work independently and on teams and have excellent time management and work prioritization skills.Execute complex projects within government defined timelines across a geographically dispersed workforce and user base.Demonstrated experience applying data science methods to real-world data problems.Demonstrated experience developing and deploying AI/ML in support of decision making.Desired Skills SQL, NoSQL, SQL Alchemy, Flask, Streamlit, Dash, React, JavaScript, HTML/CSS, Spark, Application Programming Interfaces, Continuous Integration / Continuous Development (CI/CD)Education & Certifications: Master’s degree or Bachelor’s degree in Data Science, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.Security Clearance: Active Top Secret with Active SCI EligibilityBenefits: National health, vision, and dental plans20 days of PTO and 11 paid holidaysLife InsuranceShort- and long-term disability plans401(K) retirement planIncentive and recognition programsRelocation opportunitiesEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans",Entry level,Data Scientist
+792,2025-03-27,Wimbledon,London,Harnham,http://www.harnham.com,"Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com 
+
+Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. 
+
+Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.
+
+Our five core services:
+
+* ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a 
+
+* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
+
+* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
+
+* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
+
+* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.","Machine Learning EngineerAdTech Remote (United States)$175,000 - $200,000 USD/yr + bonusHarnham is partnering with an ad technology firm that provides services to help advertisers to optimize their ad campaigns. Their tools are used to help maximize engagement and conversion of ads. This firm is looking for a Machine Learning Engineer to join their Data Science team. This role is critical for developing and implementing advanced machine learning models that operate at scale in a high-performance, data-driven environment.If you thrive in complex, data-driven settings and are eager to contribute to the development of innovative machine-learning solutions that solve real-world business challenges. This role could be for you.THE ROLEThe Machine Learning Engineer will work closely with cross-functional teams of data scientists, engineers, and business stakeholders to deliver ML solutions that address complex, high-impact challenges. This position requires expertise in deploying models, using AWS, GCP, or Azure. This role requires experience with for high-throughput and low-latency settings.RESPONSIBILITIESCollaborate on designing and implementing machine learning models to tackle complex business needs in areas like recommendation systems, predictive analytics, and natural language processing.Deploy models into cloud environments (AWS, GCP, Azure) and manage the pipeline using Docker and Kubernetes.Ensure models are production-ready, scalable, and reliable, working alongside engineering teams to maintain performance standards.Monitor model efficacy in live environments, troubleshooting and optimizing as needed.Contribute to ongoing research efforts and stay abreast of advancements in machine learning to continuously improve capabilities.YOUR SKILLS AND EXPERIENCEProven years of experience in machine learning engineering, with proficiency in PythonA background in Software Engineering with an understanding of GoProven expertise in end-to-end model development, including inception, deployment, and automated retraining of advanced models (e.g., Contextual Bandits, Deep Neural Networks).Advanced degree (Master’s or Ph.D.) in Statistics, Computer Science, or a related field is preferred.Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and machine learning tools (Databricks, MLFlow, Kubeflow, Airflow)Ability to work in a fast-paced environment alongside like-minded individualsStrong analytical and problem-solving skills, with the ability to communicate complex concepts to non-technical stakeholders.HOW TO APPLYFor those with a strong background in machine learning who are looking to make a significant impact within a fast-paced, collaborative environment, we encourage you to reach out for more details.Please register your interest by sending your resume to Virginia via the Apply link on this page.KEYWORDSMachine Learning | Model Deployment | Recommendation | NLP | Contextual Bandit | Deep Neural Networks | Python | SQL | AWS | GCP | Azure | Docker | Kubernetes | MLflow | Kubeflow | TensorFlow | Pytorch",Mid-Senior level,Machine Learning Engineer
+793,2025-03-25,San Francisco,,Sauron,https://www.sauron.systems/,"Meet your home operating system.
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+Home security should reinforce your peace of mind. You deserve a sanctuary, one that gives you the freedom to live your life with the people that matter most. That’s why we created something entirely new.
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+Sauron is an autonomous platform for the perimeter of your home. It works discreetly in the background to reliably identify potential threats in all environmental conditions and it instantly recognizes who’s part of your inner circle.
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+We provide a bespoke white-glove service, ensuring that each client’s security platform is installed with precision and care, swiftly and without disrupting the comfort or aesthetics of their home.
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+To complement the technology, Sauron leverages its Intelligent Response and Intrusion Suppression (IRIS) Command Center, staffed 24/7 by exceptionally trained agents with diverse backgrounds in law enforcement, military service, executive protection, and other critical security fields. The team builds relationships with local police departments to ensure a rapid police response to verified security incidents.","Who We AreSauron protects your family and home, bringing the innovations of autonomous robots and self-driving cars to residential security. Our team is led by veteran entrepreneurs and roboticists, alumni of Zipline, Tesla, Apple, and Google. Sauron has raised an $22M seed round led by A* and Atomic with participation from other leading venture capital firms and angel investors, including 8VC and Flock Safety CEO Garret Langley.The Role | Machine Learning Engineer, Scene UnderstandingThe ideal candidate is well-versed in state-of-the-art deep learning for 3D perception and scene understanding, including the use of large multi-modal models. You’re experienced in software development and excited about building in a 0 to 1 environment.We ValueCollaboration, pair programming, and teamwork.Making small improvements and shipping code to production continuously.Taking ownership across the stack.Test-driven development, and refactoring regularly to keep our codebases healthy.You Will Contribute ByApplying state-of-the-art ML research in 3D scene understanding to a home security and intelligence product.Applying large multi-modal models to the security domain and adapting them for real-time performance.Developing new ML models and algorithms that advance the state of the art.Leading the development cycle to turn prototypes into production-grade ML solutions, including data sourcing and annotation, training, evaluation, and deployment.Developing high-quality codebases and data pipelines to deploy new ML solutions at scale in a collaborative and test-driven approach.Interacting with a small, multidisciplinary team of ML engineers, software engineers, hardware engineers.Your Background IncludesMaster’s degree in Computer Science, Engineering, Mathematics, or a related field OR 3-5 years of related work experience.Academic and/or research experience in 3D scene understanding, including semantic segmentation, depth estimation, point cloud processing, perception, mapping, and/or 3D reconstruction.Familiarity with cutting-edge large multi-modal models and sufficient depth to advance the state of the art in service of the product.Demonstrated ability to write efficient and reliable software in Python following best practices in software design, testing, review, and documentation.Strong proficiency in writing domain-specific code in Python ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and data analysis libraries (e.g., NumPy, Pandas, Matplotlib).Strong technical communication skills and the ability to collaborate effectively on complex software systems in a team setting.A growth mindset, a willingness to take ownership of your work, and an ability to adapt to the challenges of a fast-paced startup environment.Compensation Range: $180K - $231K",Entry level,"Machine Learning Engineer, Scene Understanding"
+794,2025-04-09,San Francisco,California,Salesforce,http://www.salesforce.com,"👋 We're Salesforce, the customer company.  CRM + Data + AI + Trust. 
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+Privacy Statement: http://www.salesforce.com/company/privacy/","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, Your Impact Can Be HugeWe have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What You Will Be DoingDevelop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What You Should Have7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice To HaveExpertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Not Applicable,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+795,2025-04-08,Los Angeles,California,The Wonderful Company,http://www.wonderful.com,"Headquartered in Los Angeles, The Wonderful Company is a privately held $6 billion company dedicated to harvesting health around the world through its iconic consumer brands. The company’s 10,000 employees worldwide are committed to bringing consumers everywhere the freshest, most wholesome pistachios, citrus and pomegranates; bottling the finest water and wines; and creating colorful bouquets that are sure to touch the heart. This commitment is reflected in the company’s market share: Wonderful Pistachios® is America’s No. 1 tree nut and America’s fastest-growing snack; Wonderful® Halos® is the No. 1 mandarin orange in America; POM Wonderful® is the No. 1 100% pomegranate brand in America; FIJI® Water is America’s No. 1 premium imported bottled water brand; JUSTIN® Wine has the No. 1 Cabernet Sauvignon in California; and Teleflora® is the world’s leading floral delivery service. 
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+The Wonderful Company’s connection to consumers has health at its heart and giving back at its core. The company has a long-standing commitment to corporate social responsibility, including more than $1 billion invested in environmental sustainability; $65 million in charitable giving, education initiatives, and innovative health and wellness programs each year; and $143 million toward the construction of two charter school campuses in California’s Central Valley.
+
+To learn more about The Wonderful Company, its products and its core values, visit www.wonderful.com, or follow us on Facebook, Twitter, and Instagram. To view its Corporate Social Responsibility website, visit www.csr.wonderful.com.","Company DescriptionThe Wonderful Company is committed to offering high-quality, healthy, and iconic brands such as Wonderful Pistachios, Wonderful Halos, FIJI Water, and POM Wonderful. We’re looking to make the world a healthier place through an uncompromising commitment to the well-being of our employees and their families. We foster a collaborative workforce that encourages an entrepreneurial spirit and openness to change.Our Global Sourcing Analytics team is expanding with a new Junior Data Scientist position! Collaborating closely with our Senior Data Scientist, this role will be vital in our team’s efforts to identify project opportunities, operationalize & continuously improve our analytical processes, and increase the collective impact of Wonderful’s procurement teams.This role is a great opportunity for someone:With foundational experience in data science and eager to learn by doing, working alongside the Senior Data Scientist and Analytics team Passionate about the full scope and lifecycle of real-world, operationalized data science work (not just EDA and modeling) Eager to work on the “big picture” by helping define strategic priorities, identify problems / enhancements, and craft processes Comfortable navigating ambiguity while working on impactful projects from design to planning to execution To succeed, you will need robust analytical capabilities, strong problem-solving skills, excellent communication skills, and a collaborative mindset. To thrive, you must be creative and curious, with an unwavering appetite to learn, improve, and make an impact. We work a hybrid schedule with an in-office requirement Monday-Wednesday and the option to work remotely on Thursday and Friday. Our office is located at 11444 W. Olympic Blvd., Los Angeles, CA 90064.Job DescriptionAnalyze spend data to identify trends and opportunities across all The Wonderful Company's business units Plan and execute analytical projects while managing multiple ongoing and ad hoc initiatives Lead data-related problem-solving efforts and prioritize / drive efforts to clean, validate, and prepare data for analysis and modeling Identify opportunities for improvement and support continuous refinement of our machine learning classification workflow Design, build, and maintain dashboards and reports to support ongoing opportunity identification and spend category management Develop and implement KPIs and other metrics for monitoring supplier performance, identifying project opportunities, and ensuring contract compliance Collaborate with cross-functional teams, fostering communication and building strong relationships Develop a strong understanding of available data sources and how to manipulate and integrate them to generate valuable insights Identify opportunities to improve underlying data quality in collaboration with IT and business unit teams Synthesize findings and share compelling opportunities with business unit teams Become familiar with capabilities and best practices for Oracle Cloud Infrastructure, including Oracle Data Science and Oracle Autonomous Data Warehouse QualificationsBA/BS in an analytical field (e.g., Statistics, Data Science, Mathematics, Economics) Minimum 1-2 years of experience in data science role (preferred) or other analytical business functionExperience within the food and beverage or consumer-packaged goods industry a plus Comfort using Python or R languages to work on data science tasks on large datasets Experience with text analysis, textual data, and/or language models a plus Basic knowledge of data visualization tools (e.g., Power BI, Tableau) Strong organizational skills and exceptional attention to detail Ability to manage multiple projects and competing priorities Well-developed critical thinking abilities Comfort navigating uncertainty and solving problems by identifying creative solutions and acquiring new skills Desire to learn about the company and build relationships across the enterprise Familiarity with DAX, Power Query, and/or SQL a plus Proficiency with Microsoft Office (especially Excel and PowerPoint) Pay Range: $70,000 - $77,000 and may include a discretionary bonus. Final compensation will be dependent upon skills & experience.Additional InformationThriving Wellness Community: Access to top-notch medical coverage comprehensive vision and dental plans, and a 401k with match eligibility to secure your financial future and including:24/7 online physician consultations virtual mental health resources life coaching engaging employee community groups cash rewards for healthy habits and fitness reimbursements library of on-demand fitness videos Career Advancement Opportunities: Unlock your potential with clear paths for career progression and internal mobility across our diverse family of brands and business units. Focused Learning and Development: Grow as a leader with our dedicated Learning and Organizational Development department, offering extensive resources like People Manager and leadership training, webinars, and eLearning courses. Empowering Mentorship Program: Connect with colleagues through our company-wide mentorship program to share goals, overcome challenges, and drive your career forward. Continuous Improvement Training: Participate in training that empowers all employees to learn and implement concepts that drive significant, positive change in the workplace. Building a Healthy Society: We focus on improving the social determinants of a healthy society-quality education and medical care, economic mobility, and a healthy environment-to help build thriving communities. Wonderful CSRGiving Back to the Community: Make a difference with Wonderful Giving, allowing you to allocate company-provided funds to up to three charities of your choice, and join Wonderful Neighbor to contribute to group service projects within our local communities. Headquartered in Los Angeles, The Wonderful Company is a privately held $6 billion company dedicated to harvesting health around the world through its iconic consumer brands. The company’s 10,000 employees worldwide are committed to bringing consumers everywhere the freshest, most wholesome pistachios, citrus and pomegranates; bottling the finest water and wines; and creating colorful bouquets that are sure to touch the heart. This commitment is reflected in the company’s market share: Wonderful Pistachios® is America’s No. 1 tree nut and America’s fastest-growing snack; Wonderful® Halos® is the No. 1 mandarin orange in America; POM Wonderful® is the No. 1 100% pomegranate brand in America; FIJI® Water is America’s No. 1 premium imported bottled water brand; JUSTIN® Wine has the No. 1 Cabernet Sauvignon in California; and Teleflora® is the world’s leading floral delivery service.The Wonderful Company’s connection to consumers has health at its heart and giving back at its core. The company has a long-standing commitment to corporate social responsibility, including more than $1 billion invested in environmental sustainability; $65 million in charitable giving, education initiatives, and innovative health and wellness programs each year; and $143 million toward the construction of two charter school campuses in California’s Central Valley. To view the current Corporate Social Responsibility report, visit www.wonderful.com/csr.To learn more about The Wonderful Company, its products and its core values, visit www.wonderful.com, or follow us on Facebook, Twitter and Instagram.The Wonderful Company is an Equality Opportunity Employer that provides opportunities for advancement. We are committed to creating a diverse workforce that embodies a deep culture of acceptance, equity, and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories.EEO is the law - click here for more information",Associate,"Junior Data Scientist, Global Sourcing"
+796,2024-06-26,Cambridge,Massachusetts,ISEE,https://www.isee.ai,"ISEE is an autonomous driving technology company, spun out of MIT, whose humanistic, AI-powered, self-driving yard trucks are modernizing the global supply chain for the world’s leading companies. ISEE autonomous yard trucks are helping customers like Maersk, Lazerspot, and Fortune 100 retail companies automate their logistics hubs and achieve even greater yard safety, cost savings, consistent driving performance, and reliable driving capacity. With proprietary technology that anticipates unexpected behavior better than any other solution on the market, ISEE is poised to become a leader in the $100B global autonomous yard truck market.","ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has several years of work experience.Role responsibilities include: Working on the intersection of sensing and perception algorithms Prototyping and deploying robust computer vision algorithms on ISEE’s vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition Benchmarking and maintaining developed modules Work independently to deliver high-quality code in a timely fashion Collaborate with team for testing, evaluation and review of codeRequired Qualifications Degree in Computer Science, Electrical Engineering, Robotics or related field Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data Strong Python and/or C++ skills Passionate about self-driving vehicles and real-world robotic solutions Strong presentation and communication skillsPreferred Publication record in top-tier computer vision or machine learning conferences 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios Robotics/autonomous experience is a plus",Not Applicable,Machine Learning Engineer
+797,2025-04-01,Arlington,Virginia,Govini,http://www.govini.com,"Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.
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+Govini has offices in Arlington, Virginia and Pittsburgh, Pennsylvania.","Company DescriptionGovini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.Job DescriptionWe are seeking a Machine Learning Engineer to join our team to build cutting-edge machine learning technologies that will replace complex, time-consuming, manual processes with automation and intelligence that will help Govini end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop solutions from data collection to large-scale data manipulation to long-term data storage and low-latency retrieval, reporting, and analytical systems to solve big data problems that drive business performance.In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy.This role is a full-time position located out of our office in Pittsburgh, PA.This role may require up to 10% travelScope Of ResponsibilitiesActively create, architect, and deliver state-of-the-art machine learning solutions designed to add intelligence to our data analysis and software-as-a-service platformEstablish meaningful criteria for evaluating algorithm performance and suitabilityDevelop clear software specifications for implementing trained modelsImplement working, scalable, production-ready Machine Learning and AI Process Automation models and codeOptimize processes for maximum speed, performance, and accuracyParticipate in the end-to-end software development of new feature functionality and design capabilitiesCraft clean, testable, and maintainable codeKeep up to date with Machine Learning best practices and evolving open-source frameworksRegularly seek out innovation and continuous improvement, finding efficiency in all assigned tasksCollaborate closely with fellow software engineers, data scientists, data engineers, and QA engineersQualificationsUS Citizenship is requiredRequired SkillsBachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related fieldMinimum 3 years experience in hands-on development of machine learning modelsPractical experience in building, developing, and productionizing machine learning systemsAdvanced software skills in PythonExperience with common NLP algorithms and implementationsHands-on experience with AWS and cloud infrastructureA strong desire to learn and investigate new technologiesFamiliarity with Git source control managementPrior hands-on experience working with data-driven analyticsAbility to work collaboratively with little supervisionA burning desire to work in a challenging fast-paced tech environmentDesired SkillsCurrent possession of a U.S. security clearance, or the ability to obtain one with our sponsorshipExperience in or exposure to the nuances of a startup or other entrepreneurial environmentTrack record of implementing data-driven products Experience in or exposure to the nuances of a startup or other entrepreneurial environmentExperience in deploying ML models in Kubernetes environments2 years of experience developing and deploying modern NLP modelsWe firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.",Entry level,Machine Learning Engineer
+798,2025-03-22,San Jose,CA,Cisco,http://www.cisco.com,"Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience.  With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. ","The application window is expected to close on April 15, 2025Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received.Meet the TeamThe AI Software & Platform Team delivers AI products, so businesses around the world defend against threats and safeguard the most important aspects of business with security resilience. We are passionate about making businesses secure and simplifying security with zero compromise.Your ImpactAs a Senior Machine Learning Engineer , you will develop and deploy ML models , work on transformer-based architectures , and contribute to end-to-end AI solutions . You will collaborate with engineers, researchers, and customers , helping to build and scale AI applications that address real-world industry challenge Build and optimize ML models for diverse applications  Develop and maintain ML infrastructure, pipelines, and deployment systems  Work across modeling, ML infra, and system development to deliver AI-driven solutions  Engage with customers and internal teams to refine AI models based on real-world feedback  Collaborate with cross-functional teams to ensure AI solutions are scalable and production-ready  Solve complex ML and AI system design challenges Minimum Qualifications Bachelors degree with 5+ years (or) Masters degree with 3+ years (or) PhD degree with 1+ year of software development industry experience  2+ years of industry experience in machine learning to include building, fine tuning and deploying machine learning models into production  Experience in Python or Go and ML frameworks ( PyTorch , TensorFlow) Preferred Qualificatio Ns Strong understanding of ML Fundamentals, classic ML algorithms, modern transfo rmer-ba sed mo dels and deep learning architectures  Knowledge of LangChain , LlamaIndex , and Hugging Face models  Background in AI security, risk detection, or fraud detection (a plus, but not required )  Research experience or contributions to open-source ML projects  Self-starter with a strong problem-solving skills and ability to work independently #WeAreCisco#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Ourtechnology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.We understand our outstanding opportunity to bring communities together and at the heart of that is our people . One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer- 80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us !",Not Applicable,Senior Machine Learning Engineer
+799,2025-03-23,South San Francisco,California,Stripe,https://stripe.com,"Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.","Who we areAbout StripeStripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.What you’ll doAbout The InternshipStripe's Applied ML organization is excited to offer PhD machine learning engineering internships for the summer of 2025. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.ResponsibilitiesDevelop and deploy large-scale machine learning systems that drive significant business value across various domains.Engage in the end-to-end process of designing, training, improving, and launching machine learning models.Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.Who you areMinimum RequirementsA deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2025 or spring/summer 2026.Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn.Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders.A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently.Preferred QualificationsYou Might Also Have:Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning.Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects.Familiarity with navigating new codebases and managing work across different programming languages.Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences.Application requirementsPlease Submit The Following With Your ApplicationA detailed resume or LinkedIn profile showcasing your work history.Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios.Join us for an unforgettable summer internship and help shape the future of global commerce. At Stripe, you won't just be working on theoretical projects; you'll make a tangible impact on the world's economic infrastructure.Hybrid work at StripeOffice-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.Pay and benefitsThe annual US base salary range for this role is $123,500 - $161,525. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.",Internship,"PhD Machine Learning Engineer, Intern"
+800,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Lead Ads team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering lead ads on TikTok. Our mission is to push the boundaries of large-scale ads delivery systems and lead the innovations of TikTok's personalized online advertising. Hence, you'll have a chance to get deeply involved in our large-scale distributed systems and state-of-the-art machine learning algorithms. As a Machine Learning Engineer on the Lead Ads team, you will make efforts to develop novel machine learning solutions for ranking, build scalable foundations and launch various products that maximize the efficiency of lead ads delivery.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.SkillsInternships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 . Successful candidates must be able to commit to one of the following summer internship start dates below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23Please state your availability clearly in your resume (Start date, End date).Key Responsibilities Work on the development of a large-scale online ads delivery system and improve its accuracy. Explore multi-stage ranking models, conduct data analysis, develop feature engineering. Participate in the innovations of online ads systems using machine learning models, ranking algorithms, etc. Partner with product managers, data scientists and product strategy & operation team to launch new Lead Ads products and features.QualificationsMinimum Qualifications: Pursuing a BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. Experience with applying machine learning methods for ranking. Software development experience and strong coding skills, especially in Python/C++. Experience with Tensorflow/PyTorch/MXNet is a plus. Experience with recommender system projects. Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics. Curiosity toward new technologies and entrepreneurship.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $45- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (Lead Ads) - 2025 Summer (BS/MS)
+801,2025-04-08,McLean,Virginia,Dezign Concepts,http://www.dezign-concepts.com,"As an agile company with larger than life potential and a wide range of technical skills, Dezign Concepts maintains pinpoint precision while prioritizing customer and employee satisfaction. We take the initiative to stay on top of ever changing advances in the technology driven industry and uphold security clearance requirements.
+
+Our industry separation is defined by our personalized, flexible service and more robust communication. From planning to the final steps of execution, nothing will slip through the cracks. As a result, our clients experience instant cost savings for budget reallocation and the reduction of their dependency on government workers and training.
+
+","20250408-2412-01Active Top Secret Clearance with Poly RequiredJob Summary(Salary is commensurate with education and experience)The office conducts high profile and short fuse data science and targeting requirements on a priority mission. The sponsor requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The Sponsor requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines.Please Note:This job requires an existing Top Secret Clearance and Polygraph.Responsibilities and DutiesThe Team shall work closely with other teams, including data science and programming teams within the Sponsor’s broader mission component. The Sponsor project manager will manage the priorities, with The Team working to implement those prioritiesThe Team shall take the Sponsor’s mission needs and convert those into technical milestones consistent with the Sponsor’s data science requirementsThe Team shall develop and manage data processing ETL pipelinesThe Team shall provide ad hoc trainings to Sponsor’s data users on custom tools and data exploitation consist stent with established use casesThe Team shall use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approachesThe Team shall identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflowsThe Team shall identify existing or emerging data science workflows within the Sponsor’s broader office that would accelerate the Sponsor’s data science missionThe Team shall leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor’s technical goals for data managementThe Team shall anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor’s directionExperience Needed:Citizenship: Must Be a US CitizenExisting Clearance Required: Active Top Secret SCI with PolyDemonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similarDemonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflowsDemonstrated experience leveraging unsupervised machine learning models to answer complex customer queriesDemonstrated experience with a range of Python packages and graph databasesDemonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivityDemonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languagesOptional SkillsDemonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to productionDemonstrated experience leading complex data science teamsDemonstrated experience with machine learning solutionsDemonstrated experience working with foreign and domestic partners of the SponsorDemonstrated experience writing custom algorithms for data exploitationDemonstrated experience with complex graph database queriesDemonstrated experience working in high operational tempo environmentsBenefitsOur comprehensive benefits package includes Medical, Dental, Vision, Health Savings Account, Paid Time Off, Holidays, Social Events, Employee Assistance Program, Team Building Activities, 401K, Tuition Assistance, and more.Contact Us: Main Number: 1-888-663-2690 | info@Dezign-Concepts.com | www.dezign-concepts.comDezign Concepts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Powered by JazzHRQULKPBGGpd",Mid-Senior level,Data Scientist
+802,2025-03-06,Dublin,California,Articul8 AI,https://www.articul8.ai,"Articul8 AI is a technology company whose products transform enterprise data and expertise into powerful engines of growth, value and impact. Our full-stack GenAI platform is revolutionizing how enterprises harness their data and expertise to build expert-level Generative AI applications for their mission-critical challenges. Our products deliver enterprise-scale impact with ROI in hours to weeks. General-purpose GenAI models, while necessary, are not sufficient to deliver enterprise-specific decisioning and actioning. Our platform addresses this gap by making it straightforward for companies to build sophisticated, enterprise-scale and expert-level GenAI applications that encode their domain expertise. Our proprietary technology does the heavy lifting through autonomous decisions and actions, automated data intelligence, improved precision and relevance with industry knowledge encoded into Articul8's library of domain and task-specific models. We are purpose-built for regulated industries and meet the highest standards of compliance, data security, privacy and performance, including traceability and auditability at every step. We are trusted by leading global enterprises like AIAA, Itochu Techno-Solutions Corporation, Uptycs, AWS, NIQ, Intel and Franklin Templeton to transform their mission-critical work.
+
+We are the enterprise GenAI platform that simply works! For more information, please visit www.articul8.ai.","About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.Job Description:We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data generation and data analysis. You will own all work related to acquiring high-quality data to power the training of our domain-specific models end to end. You will work closely with other researchers and engineers to empower our next generation of domain-specific models. We value rapid prototyping, iterating, and shipping new systems quickly.Required Qualifications:BS/MS/PhD in Computer Science or a related field. Proficiency in at least one deep learning framework, such as PyTorch. Experience in machine learning projects in text or vision, e.g., has trained machine learning models to tackle a specific problem. Strong expertise in large stateful distributed systems and data processing. Strong proficiency in building large-scale data processing pipelines, familiar with distributed workload (e.g., multiprocessing, Ray, Docker, Kubernetes). Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code. Excellent problem-solving skills and attention to detail, especially when handling data anomalies and biases to further improve data quality. Key CompetenciesActive Github contributions are a big plus. Experience in building large-scale datasets. Familiar with at least one of the following tools for data crawling (e.g. Scrapy), data collection (e.g., VPNs, Selenium), data processing (e.g., Hadoop, Datasketch). Building bespoke data processing libraries from scratch. Keeping up with state-of-the-art techniques for preparing AI training data. Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources. Multilingual which contributes to enriching the language diversity crucial for robust model training. Responsibilities:Design and develop data processing pipelines, including data extraction, data filtering, data labeling, etc. Implement machine learning models to improve the quality and diversity of data (especially in the data extraction stage), e.g., quality classifier, document layout model, code verification model, etc. Own and lead engineering projects in the area of data acquisition, including web crawling, data ingestion, and processing. Collaborate with our Applied Research, Technology, and Architecture teams to ensure smooth data flow and system operability. Develop and deploy highly scalable distributed systems capable of handling terrabytes of data. Architect and implement algorithms for data indexing and search capabilities. Build and maintain backend services for data storage, including work with key-value databases and synchronization. Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you.If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.",Mid-Senior level,Machine Learning Engineer - Data Pipeline
+803,2025-03-26,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.You WillReport into the TLM for the Learned Metrics TeamDevelop ML models that assess our autonomous vehicle's behavior.Develop ML infrastructure to support performant models.Collaborate across teams to bring state-of-the-art to production.You HaveBS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience2+ years of experience building productionized ML modelsCode and design skills: comfort building production systems (Python / C++)Background in applied Deep LearningA track record in improving model qualityWe Prefer4+ years of experience building productionized ML modelsExperience in reinforcement learning, transfer learning, or learning.Experience with large scale data and modelsThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$204,000—$259,000 USD",Mid-Senior level,Senior Machine Learning Software Engineer
+804,2025-03-23,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionThe Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer(SDE)/Machine Learning Engineer(MLE) to play pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs!Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry!So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this exhilarating adventure and let's revolutionize AGI together! #MLEKey job responsibilities Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs. Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications. Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.A day in the lifeAs a SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software.About The TeamJoin our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Master's degree in computer science or equivalent Experience in techniques like kernel fusion and custom kernels to improve GPU utilization, mixed precision training using lower precision and dynamic loss scaling while leveraging hardware specific mixed precision capabilities and/or demonstrated ability to implement efficient memory management like gradient (activation) checkpointing, gradient accumulation, offloading optimizer states, and smart prefetching.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2799313",Not Applicable,"Machine Learning Engineer, Amazon General Intelligence (AGI)"
+805,2025-03-27,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe Document Cloud AI & Innovation team is looking for a Machine Learning Engineer. We are the team behind Adobe Liquid Mode which was featured on TIME's Best Invention of 2023 and Acrobat AI Assistant which was featured on TIME's Best Invention of 202 4 ! We are looking for someone who will apply AI and machine learning techniques to help Adobe deliver state of the art document experiences to its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems related to document viewing, editing, creation, etc.By using machine learning techniques, the candidate will work on the research and development of exciting projects such as LLM powered capabilities for d ocument workflows such as consumption, creation and editing .Ideal candidates will have a strong academic background as well as technical skills in machine learning and software development. Familiarity with working with large-scale datasets would be a plus. In this role your work will have the potential to have a positive impact on the lives of millions of people across the world!What You’ll Do Develop predictive models (CV and/or NLP) trained on large-scale datasets to address various business problems with sophisticated machine learning techniques.  Develop and implement scalable and efficient ML models that can work with large-scale data in production systems running on mobile devices with limited memory and compute .  Collaborate with product management and engineering groups to develop new products and features. What You Need To Succeed Deep understanding of machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods.  Experience in NLP and working with LLMs. Experience with ML techniques for computer vision is a plus.  Proficient in one or more programming languages such as Python, Java, Objective C or C++ .  Familiar with one or more machine learning or statistical modeling tools such as PyTorch or TensorFlow .  Strong analytical and quantitative problem-solving ability.  Excellent communication, relationship skills and a strong team player.  PhD or M aster’s degree in Computer Science , Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required with 3+ years of experience (for PhD) or with 8+ years of experience (for Master’s). Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $162,000 -- $301,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,Senior Machine Learning Engineer
+806,2025-03-14,Fremont,California,Pony.ai,https://www.pony.ai/,"Pony AI Inc. (“Pony.ai”) is a global leader in the large-scale commercialization of autonomous mobility.
+Leveraging its vehicle-agnostic Virtual Driver technology, full-stack autonomous driving technology that seamlessly integrates its proprietary software, hardware, and services, Pony.ai is developing a commercially viable and sustainable business model that enables the mass production and deployment of vehicles across transportation use cases. 
+Founded in 2016, Pony.ai has expanded its presence across China, Europe, East Asia, the Middle East, and other regions, ensuring widespread accessibility to its advanced technology.
+Pony.ai is among the first in China to obtain licenses to operate fully driverless vehicles in all four Tier-1 cities in China (Beijing, Guangzhou, Shanghai, Shenzhen) and has begun to offer public-facing, fare-charging robotaxi services without safety drivers in Beijing, Guangzhou and Shenzhen. Pony.ai operates a fleet consisting of over 250 robotaxis. 
+To date, Pony.ai has driven nearly 40 million autonomous testing and operation kilometers (nearly 24.8 million miles) on open roads worldwide.
+","DescriptionFounded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024.ResponsibilityThe ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring.As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems.This includes:Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures.Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure.Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries.Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models..RequirementsBS/MS or Ph.D in computer science, electrical engineering or a related discipline.Strong programming skills in C/C++ or Python.Experience on model optimization, quantization or other efficient deep learning techniquesGood understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc.Experience with profiling, benchmarking and validating performance for complex computing architectures.Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks.Strong communication skills and ability to work cross-functionally between software and hardware teamsPreferred Qualifications:One or more of the following fields are preferredExperience with parallel programming, ideally CUDA, OpenCL or OpenACC.Experience in computer vision, machine learning and deep learning.Strong knowledge of software design, programming techniques and algorithms.Good knowledge of common deep learning frameworks and libraries.Deep knowledge on system performance, GPU optimization or ML compiler.Compensation and BenefitsBase Salary Range: $140,000 - $250,000 AnnuallyCompensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units.Also, we provide the following benefits to the eligible employees:Health Care Plan (Medical, Dental & Vision)Retirement Plan (Traditional and Roth 401k)Life Insurance (Basic, Voluntary & AD&D)Paid Time Off (Vacation & Public Holidays)Family Leave (Maternity, Paternity)Short Term & Long Term DisabilityFree Food & Snacks",Associate,"Machine Learning Engineer, ML Runtime & Optimization"
+807,2025-04-02,San Francisco,California,Candid Health,https://www.joincandidhealth.com,"Candid Health is building a modern medical payments platform that enables healthcare providers to focus on delivering high-quality, affordable and accessible care, rather than spending half their time figuring out how to get paid by insurance.","What You’ll Be DoingYou’ll conceptualize, design, build, and maintain complex services/platforms/features and develop ownership over large swaths of our product + infrastructure. You’ll interact closely with our current + prospective customers, developing intuition around their biggest pain points and thinking of creative ways to address them. You’ll play a critical role in shaping our engineering + broader company culture and help make this the best place we’ve ever worked. Who You AreYou have Bachelors of Science or Bachelors of Art in Computer Science, Computer Engineering, Math or other similar degree. You have 5+ years of experience in a Software Engineering position. Experience with the technologies we currently use is a plus, but by no means required: Python, PostgreSQL, Docker, Kubernetes, React, Typescript, Google Cloud Platform, Auth0, Terraform. You enjoy building high-quality software, but you also anchor on outcomes and have good intuition around which corners are worth cutting and which aren’t. You enjoy owning features end-to-end and are comfortable learning new tools or moving across the stack to do so. You have a customer-first and learner’s mindset, and value teaching others. You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing. Pay TransparencyThe estimated starting annual salary range for this position is $135,000 to $180,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles.",Mid-Senior level,Software Engineer
+808,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+809,2025-04-03,San Francisco,CA,Airbnb,http://airbnb.com,"Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million Hosts who have welcomed over 1.5 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.","Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Community You Will JoinWe are looking for a talented Data Scientist to join the Locations Data Science team. Locations are a fundamental part of multiple aspects of Airbnb. This team is responsible for investing and expanding our Locations data foundation, creating the intelligence around Locations data strategy, and building the data products needed to provide guests the location context they need to make informed booking decisions.The Difference You Will MakeAs a Staff Data scientist on the Locations team, you will have the opportunity to help shape the data strategy of Locations at Airbnb. Your role will involve close collaboration with Product to identify user pain points that will inform new Locations features and Engineering to ensure our expanding data foundation is robust, scalable, and cost effective.You will analyze and derive new location data products and features. This may range in projects from recommending places-of-interest based on traveler preferences, to generating neighborhood vibes and descriptions using LLMs, to modeling and discovering location affinities to name a few examples.A Typical DayBuild a deep understanding of the locations space through technical analysis. Translate insights into impactful user-facing location data products or assets.Drive exploration, development, and prototyping of innovative location data products in close partnership with product and engineering stakeholders.Explore both internal and external data sources to derive impactful location assets.Quantify the impact of launched data products through experimentation and/or causal inference techniques.Research new approaches to measure items like location relevance and map behaviors to understand how they tie to user satisfaction and business outcomes.Your QualificationsAdvanced degree (PhD or Masters) in Data Science, Statistics, Geographic Information Systems, Econometrics, or a related field.9+ years of relevant industry experience (6+ with a PhD).Prior experience working with geospatial data strongly preferred.Hands on experience using LLMs for information retrieval or knowledge extraction preferred. Related NLP, CV, UGC/content understanding experience a plus.Proven ability to effectively communicate and influence at various altitudes to technical and non-technical stakeholders.Prior experience working with XFN partners like product, engineering, and design to enable data-driven product development.Familiarity prototyping, building, and scaling derived data assets.Your Location:This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & BelongingAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.How We'll Take Care Of YouOur job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.Pay Range$194,000—$240,000 USD",Mid-Senior level,"Staff Data Scientist, Locations"
+810,2025-03-20,San Francisco,California,Uber,http://www.uber.com,"We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
+
+The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.","About The RoleWe are looking for an experienced Senior Machine Learnign Engineer to join the Trusted Identity engineering team at Uber.The Trusted Identity org plays a crucial role in our mission to thoroughly verify the identity of our customers (riders, eaters) and partners (drivers, restaurants) while ensuring powerful, intuitive and streamlined user experiences. Our continued obsession for innovation in the space is essential to ensure safety as people interact on Uber's platform. The Account Integrity team in this org prevents fake identities from operating on the platform, and ensures that accounts are not duplicated nor fraudulent to enhance accountabilityWhat The Candidate Will Need / Bonus Points---- What the Candidate Will Do ----Develop production machine learning solutions to ensure the integrity of every Uber accountPartner with engineering and product leaders to help shape the roadmapLeverage digital information, behavior signals and social networking signals to establish trust in users. Build large scale systems to find similarities and relationships between various entities such as users, devices, images etc. Integrate with business systems dealing with risk, safety, and compliance.  Basic Qualifications5+ years of industry experience developing machine learning models ( both classical and deep learning) and shipping ML solutions to production. Bachelor's degree in Computer Science, Engineering, Mathematics or related fieldStrong problem-solving skills, with expertise in ML methodologiesExperience in applying ML, statistics, or optimization techniques to solve large-scale real-world problemsIndustry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java Preferred QualificationsPhD degree in Computer Science, Engineering, Mathematics or related fieldFamiliarity with multi-task learning, LLMs and anomaly detectionFraud domain knowledgeFor San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.",Mid-Senior level,"Senior Software Engineer, Machine Learning"
+811,2025-03-30,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2875476",Not Applicable,"Machine Learning Engineer, AGIF"
+812,2025-04-02,San Francisco,,Ema Unlimited,https://ema.co/,"Ema is an enterprise partner of choice in building and deploying Agentic AI solutions. We are:
+
+›› Simple - Conversationally build AI employees that learn and excel beyond human limits. Multiply your workforce in minutes, not months.
+
+›› Trusted - Take control back by replacing 100s of vulnerable co-pilots with Ema’s secure and compliant AI Employees. Ema can be deployed both on-cloud and on-prem, and is compliant with industry-leading standards, including SOC 2 Type I & II, HIPAA, GDPR, ISO 27001, NIST CSF, NIST SP 800-171, and NIST AI RMF. We are also one of the world's only companies to be certified ISO 42001, the world's first AI management system standard.
+
+›› Accurate - Achieve the highest accuracy at the lowest costs and latency with Ema’s proprietary 2T+ EmaFusion (TM) model, built for wide-ranging enterprise use-cases. Get the power of 100+ LLMs at your fingertips. 
+
+Experience the future of work with Ema, every enterprise’s best performing employee. Hire Ema today.","Who We AreEma is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google).Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. Most of our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology.Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from our Mountain View, CA office three days a week.Who You AreWe're looking for innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact.You WillConceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems.Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.Minimum QualificationsA Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.At least 2 years of industry experience in building and deploying production-level machine learning models.Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.Ideally, You'd HaveExcellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.Familiarity with cloud platforms like GCP or Azure.Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects.Good understanding of software development principles, data structures, and algorithms.Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.The ability to work collaboratively in an extremely fast-paced, startup environment.For California Based CandidatesThe standard base salary for this position is $135,000 to $200,000 annually.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.",Entry level,Machine Learning Engineer - Bay Area
+813,2025-04-03,Worldwide,,Deloitte,http://www.deloitte.com/,"Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. 
+
+Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.
+
+The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.","Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.Work You'll Do/ResponsibilitiesWork with data science techniques and libraries to show data's applicability to the clients' business problems.Perform exploratory data analysis to define analytical models.Develop advanced quantitative models using Python, PySpark, and associated libraries to support predictive assessments.Explain analytics model behavior/results in business-friendly language.Build, test, validate, and demonstrate analytical models through various relevant error metrics and calibration techniques.Apply algorithms that require multiple models/methods to be used in an ensemble.Utilize SQL to query, manipulate and extract data to drive business insightsDeploy models into production with Airflow.Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operationalThe Team As a part of the US Strategy & Analytics Offering Portfolio, the AI & Data offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.QualificationsRequired5+ Years experience as a Data Scientist5+ Years experience conducting Time-Series Analysis and Anomaly Detection5+ Years experience using the following tools: SQL, Tableau, and PythonBachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experienceLimited immigration sponsorship may be availableMust be able to sit onsite in Cupertino, CAAbility to travel 10%, on average, based on the work you do and the clients and industries/sectors you servePreferredA background in marketing analytics, market research, or sales analyticsAnalytical/ Decision Making ResponsibilitiesAnalytical ability to manage multiple projects and prioritize tasks into manageable work productsCan operate independently or with minimum supervisionExcellent Written and Communication SkillsAbility to deliver technical demonstrationsFor individuals assigned and/or hired to work in California, Colorado, Hawaii, Jersey City, Nevada, New York state, and Washington State, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California, Colorado, Hawaii, Jersey City, Nevada, New York state, and Washington state and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $109,000 to $170,000.Additional RequirementsInformation for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html",Not Applicable,Data Scientist
+814,2025-04-05,Farmers Branch,Texas,Intellisoft Technologies,http://www.intellisofttech.com,"IntelliSoft Technologies, Inc. was founded in 1997 and specializes in providing software products & integrated solutions to Fortune 500 clients.  IntelliSoft   leverages CMMI Level 3, ISO, and ITIL best practices to deliver full software development life cycle support to our customers.  From vendor neutral perspective we help our clients to evaluate, select and integrate leading edge technologies.
+
+Our product portfolio includes 
+Datamorphix.ai - Conversational Analytics AI Platform
+Edbrix.com  - Enterprise learning management platform
+Hrchex.com - Background Checks & Human Capital Management Platform
+Orionox.com - Enterprise VOIP Platform","Role: AI Software DeveloperLocation: Austin, TXPlease do not submit candidates who are not currently in Austin, TX.C2C is okayVisa visa-independent candidate must work on direct W2The Software Developer at this level is responsible for knowing numerous development languages and platforms to support ROW and IT business units. Those include scripting technologies, database technologies, and experience developing with newer technologies such as AI. This resource is also expected to have a strong working knowledge of software engineering, integration capabilities, logical database and sql development, and coding libraries.Maintained and enhance formulas and calculation scripts.Monitor daily load processes for issues.Managed testing and rollout of new application releases.Work closely with technologies that can use Microsoft Copilot.Support the development of technical documentation and new features for users.Work Snowflake and data needs for that platform.Work with business users to expand existing e-commerce business needs to meet reporting requirements.Work closely with project managers to maintain and adjust actuals, planning, and forecasting data needs for changes in the business environment.Create new VBA/Excel applications to support actuals, planning, and forecasting reporting and data collection.Create exports, imports, data transformations, and calculations to support ongoing and new business requirements.Advise leadership and project management team members to find creative and effective solutions to business data problems.Preferred: E-Commerce and its capabilitiesThanksAnshikaanshika@intellisofttech.com",Mid-Senior level,AI Software Engineer
+815,2025-04-09,Lynchburg,Virginia,CloudFit Software,http://www.cloudfitsoftware.com,"...Powering Every Digital Transformation...
+
+Our mission is to enable companies and individuals to innovate at whatever speed they desire by providing critical operational outcomes as managed scenarios.
+
+getfit@cloudfitsoftware.com
+https://www.instagram.com/CloudFitSoftware/
+https://twitter.com/cloudfitsw
+","CloudFit Software is looking for a Junior Data Science Engineer to join our team! This role will work closely with our engineering and delivery teams to analyze large datasets, develop predictive models, and generate actionable insights. As a Data Science Engineer, you will play a key role in helping our organization make data-driven decisions. The ideal candidate will have a passion for learning new technologies, staying updated with the latest industry trends, and adapting to the evolving needs of the company and its customers.ResponsibilitiesData Collection and Cleaning: Gather data from various sources and ensure its quality and integrity.Data Analysis: Use statistical methods to analyze data and identify trends, patterns, and insights.Model Development: Assist in the development and implementation of predictive models and machine learning algorithms.Reporting: Create reports and visualizations to communicate findings to stakeholders.Collaboration: Work with cross-functional teams to understand business needs and provide data-driven solutions.Continuous Learning: Stay updated with the latest industry trends and technologies in data science.RoleWhat makes you the perfect fit for this role: Education: Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.Programming Skills: Proficiency in Python and R, including libraries like Pandas, NumPy, Scikit-learn Probability and Statistics: Strong understanding of statistical concepts like hypothesis testing, regression analysis, and Bayesian statistics Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for handling large datasets Data Visualization: Experience with data visualization tools such as Tableau, Power BI, or similar.Machine Learning: Basic understanding of machine learning algorithms and techniques.Communication Skills: Excellent written and verbal communication skills to explain complex concepts to non-technical stakeholders.Problem-Solving: Strong analytical and problem-solving abilities.Some Nice Haves (but Not Required)Experience: Previous internship or project experience in data science or a related field.Certifications: Relevant certifications in data science or machine learning.The salary range for this role is $50,000 - $100,000 + benefits, & perks. Please note the national salary range listed in the job posting reflects the new hire salary range across levels and U.S. locations that would be applicable to the position. Final salary will be commensurate with the candidate’s final level and location. Also, the range represents salary only and does not include our total rewards package.Current Federal Security Clearance or ability to obtain (US Citizenship required)  CloudFit participates in E-Verify and will provide the federal government with your Form I-9 information to confirm you are authorized to work in the U.S.Don’t meet every single requirement? Studies show that women and people of color often hesitate to apply for jobs unless they meet every qualification listed. At CloudFit, we’re committed to creating a diverse, inclusive, and authentic workplace. If you’re excited about this role but your experience doesn’t align perfectly with every qualification, we still encourage you to apply! You might be the perfect fit for this position—or another one on our team.CloudFit Benefits & Perks:   CloudFit benefits are designed with wellness in mind, to support what matters the most: Physical Health: Medical, dental, vision insurance, & voluntary health options for you and your family! Mental Health: Talkspace, Calm, virtual therapy, counselingFinancial Wellness: 401(k), HSA, FSAs, Personal Financial Advisors  3 Weeks of PTO, 15 Paid Company Holidays, 8 Giving Back Hours Wellness Program: reimbursement, gym discounts, health fairs, & more!Recognition Program: Earn & give recognition, annual awards, celebrations Career development for employees at every level is a priority at CloudFit. Certification Reimbursement User Friendly Career Development Tools & Resources Check out CloudFit Candidate Portal for more information on roles, benefits, internships, and more!  About CloudFitCloudFit Software provides customers the ability to quickly iterate on the development of Cloud Solutions while optimizing security, networking, operations, and monitoring through an engineering mindset. At CloudFit, we instrument solutions that attempt to reduce the human element by applying automation and engineering to every aspect of a solution's lifecycle. CloudFit focuses on delivering managed scenarios that meet customer business needs. This allows us to provide core operational outcomes while integrating back with the customer’s existing operations teams. Please be aware many of our positions require the ability to obtain security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.  CloudFit is committed to providing reasonable accommodations and support in our recruiting processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need accommodation, please contact the Talent Acquisition team at careers@cloudfitsoftware.com.  CloudFit is an equal opportunities employer and welcomes applications from all sections of society, including veterans, and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.",Entry level,Junior Data Science Engineer
+816,2025-03-31,Chuo-ku,Tokyo,Woven by Toyota,,"Woven by Toyota will help to deliver the safest, most intelligent mobility experiences and lifestyle for Toyota customers everywhere. At Woven by Toyota, we envision a human-centered future, where world-class technology expands global access to mobility, enhances the capabilities of drivers, and empowers people to thrive. We achieve this with a unique global culture that weaves modern Silicon Valley innovation with Japanese quality craftsmanship. As society, technology and customer needs evolve, we continuously pursue new ways to create a more personal, seamless experience for customers.","Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society.Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.TEAMAt Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work includes a diverse array of challenges and activities, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications.WHO ARE WE LOOKING FOR?The team is looking for a Senior Data Scientist to spearhead the creation and deployment of sophisticated data models and algorithms to tackle business challenges for the Autonomy team. You will enhance and streamline scalable data pipelines, automation systems for machine learning, and performance assessment. You will also develop algorithms, pipelines and key strategies to optimize the utilization of large-scale fleet data for our next-generation automated driving solutions, influencing millions of Toyota customer vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity.ResponsibilitiesLead the development of complex data models and algorithms to solve business problems for the Autonomy team. Design and implement data strategies for collecting, sampling, labeling, and using large scale datasets to enhance machine learning model performance. Develop metrics and tools for anomaly detection and trend analysis in data from various sources, including real-world vehicle platforms and simulations. Analyze model performance metrics, model failure modes, statistical relevance of datasets, etc. to guide the overall ML engineering effort. Design and improve scalable data pipelines and automation for machine learning and performance evaluation. Prepare and present detailed reports and visualizations to stakeholders, clearly communicating complex results to both technical and non-technical audiences. Stay current with advancements in data science and machine learning technologies, driving the adoption of best practices. Work in a high-velocity environment and employ agile development practices. Exhibit a ""Giver"" mindset, proactively asking, “What can I do for you?” to facilitate production development processes while maintaining a ""get things done"" mentality. Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions. Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor (Michigan) offices three days per week. Minimum QualificationsMS or PhD in a quantitative field (e.g. Statistics, Mathematics, Physics)3+ years of experience solving large-scale data science problems2+ years of experience with Python and SQL data analysis libraries and packagesExperience with theoretical aspects of data science and machine learning (deep learning, statistical analysis, and mathematical modeling)Experience in building machine learning algorithms and infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluationStrong communication skills with the ability to communicate concepts clearly and precisely. NICE TO HAVESConducting thorough analyses of large-scale multimodal driving dataLeveraging statistical techniques and machine learning algorithms to derive data insightsBuild or manage infrastructure, such as Docker, Kubernetes, Jenkins, GitHub ActionsExperience with temporal/sequential and/or spatial dataExperience with computer vision ( e.g.multi-view geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping) Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control) Experience in self-driving challenges (Perception, Prediction, Mapping, Localization, Planning, Simulation). The base pay for this position ranges from $94,500- $155,250 a yearYour base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.What We OfferWe are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.・Excellent health, wellness, dental and vision coverage・A rewarding 401k program・Flexible vacation policy・Family planning and care benefitsOur Commitment・We are an equal opportunity employer and value diversity.・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.",Mid-Senior level,"Machine Learning Engineer, Behavior Data"
+817,2025-03-31,Concord,Massachusetts,ERG,http://www.erg.com,"ERG is a multidisciplinary consulting firm offering a broad range of professional services. From offices across the country, we serve a spectrum of public and private clients, including federal agencies, state governments, corporations, and universities.","ERG is a research and consulting firm that provides a wide range of support to federal, state, and commercial clients. ERG offers multidisciplinary teams with nationally recognized skills in engineering, science, economics, public health, informational technology, and communications. We hire people with the best minds and then provide them with a vibrant and flexible environment in which to develop their careers. The qualified individual must be highly motivated with the skills to prioritize, perform, and communicate effectively in a fast-paced environment. ERG is seeking an experienced Data Scientist to independently develop and lead projects focused on information extraction from documents. This data scientist will be working within the newly established Product Impact group helping ERG build a key database of environmental product declarations and product category rules.Job Description:Lead the development and implementation of data extraction solutions from various document typesDesign, develop, and maintain algorithms and models for information extractionEnsure the integrity and accuracy of extracted dataPrepare technical design documents and specificationsConduct technical reviews of data extraction solutions created by others to ensure compliance with applicable standards, codes, and regulations, as well as end-user requirementsSupport the data extraction process from concept through delivery of the completed solutionCollaborate and communicate effectively with other stakeholders, both internal and external, and the development team (e.g., engineering department, IT department)Qualifications and Skills: A minimum of 3 years of experience in data science is required; 5+ years is preferredAt least three years of experience with information extraction from documentsExperience with machine learning and generative AI models and APIsProficiency in Python and relevant data science librariesExperience with cloud platforms, preferably Google Cloud Platform (GCP)Experience working with lifecycle assessment, greenhouse gas emissions data and/or supply chain platforms is a plusAbility to prioritize, perform, and communicate effectively in a fast-paced environmentERG offers competitive salaries and excellent benefits, including health and dental insurance, life insurance, long-term disability, educational benefits, FSAs, a generous 401k plan, profit sharing, an EAP, 11-20 paid vacation days per year, 10 paid holidays per year, 56 hours or more of sick leave (based on the state you work in) per year (pro-rated for part-time) and more. The salary range for all positions depends on the years and type of experience.   ERG is an equal opportunity employer and complies with all applicable EEOC regulations. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual preference, national origin, disability, or status as a protected veteran.     Please be aware, the only authentic corporate domain for ERG is https://www.erg.com.  ERG may, on occasion, screen applicants via telephone or video interviews via Skype, Teams, GoToMeeting, or another type of video platform. However, any candidate extended a job offer might be asked to meet in person with an ERG employee before providing confidential personal information associated with new employment.   If you’re a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access ERG’s online application process as a result of your disability. To request accommodation, please contact Human Resources via email at Resumes-Lex@erg.com or call (781) 674-7293.   ERG fosters a friendly, flexible work environment. ERGers are dedicated to serving clients who are committed to making the world a better place. We promote and recognize principles of fairness and respect in the work we do, the partnerships we foster, and the culture we value both within and outside of our organization. ",Entry level,Data Scientist
+818,2025-03-20,,,Anthropic,https://www.anthropic.com/,"We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.
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+Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability. ","About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About The RoleWe are looking for ML engineers to help build safety and oversight mechanisms for our AI systems. As a Trust and Safety Machine Learning Engineer, you will work to train models which detect harmful behaviors and help ensure user well-being. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies.ResponsibilitiesBuild machine learning models to detect unwanted or anomalous behaviors from users and API partners, and integrate them into our production systemImprove our automated detection and enforcement systems as neededAnalyze user reports of inappropriate accounts and build machine learning models to detect similar instances proactivelySurface abuse patterns to our research teams to harden models at the training stageYou May Be a Good Fit If YouHave 4+ years of experience in a research/ML engineering or an applied research scientist position, preferably with a focus on trust and safety.Have proficiency in SQL, Python, and data analysis/data mining tools.Have proficiency in building trust and safety AI/ML systems, such as behavioral classifiers or anomaly detection.Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.Care about the societal impacts and long-term implications of your work.Strong Candidates May Also Have Experience WithMachine learning frameworks like Scikit-Learn, TensorFlow, or PyTorchHigh-performance, large-scale ML systemsLanguage modeling with transformersReinforcement learningLarge-scale ETLAnnual SalaryThe expected salary range for this position is:$340,000 - $425,000 USDLogisticsEducation requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.How We're DifferentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.",Mid-Senior level,"Machine Learning Engineer, Safeguards"
+819,2025-04-09,VIENNA,,AiVantage Inc (Global),https://aivantage.global/,"Embark on your AI and tech journey with AiVantage – a strategic ally for businesses seeking growth and innovation. We go beyond meeting your tech needs; we anticipate them, ensuring you gain a competitive edge and achieve guaranteed success.
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+At AiVantage, we specialize in comprehensive solutions that empower businesses to thrive in an era defined by data, analytics, and cutting-edge technology. Our main offerings are crafted to address the diverse needs of our clients, ensuring they stay ahead of the curve in an ever-evolving tech landscape.
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+Reach us today at info@aivantage.global to discuss your needs.","OverviewWe are looking for a Machine Learning Engineer to develop and deploy machine learning models, build NLP solutions, and optimize data pipelines. The ideal candidate will work on anomaly detection, time-series analysis, and automation while collaborating with cross-functional teams.Key ResponsibilitiesMachine Learning & NLP: Develop and deploy ML models for tasks like name screening, sentiment analysis, and text classification.Anomaly Detection & Time Series Analysis: Build predictive models using LSTM, SVD, and other techniques.API Development: Create APIs to integrate ML models into applications.Data Engineering: Design scalable ETL pipelines, clean and validate data, and manage time-series databases.Web Scraping & Automation: Develop automated data extraction solutions integrated with NLP.Data Visualization: Create reports and insights to support decision-making.Collaboration & Leadership: Work with business teams, mentor junior members, and contribute to team development.Skills & QualificationsStrong knowledge of Python, TensorFlow, PyTorch, and Scikit-learnExperience with NLP tools (spaCy, NLTK, Hugging Face)Hands-on expertise in anomaly detection and predictive analyticsProficiency in SQL, Apache Spark, and cloud platforms (AWS/GCP/Azure)Experience with API development (Flask, FastAPI)Strong problem-solving and communication skills",Mid-Senior level,Data Scientist - Diss
+820,2025-03-08,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced Front end Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team that’s working to help people connect with each other around the globe. Join us!Software Engineer, Front End Responsibilities:Lead complex technical or product efforts involving many engineersProvide technical guidance and mentorship to peersImplement the features and user interfaces of Facebook products like News FeedArchitect efficient and reusable front-end systems that drive complex web applicationsCollaborate with Product Designers, Product Managers, and Software Engineers to deliver compelling user-facing productsIdentify and resolve performance and scalability issuesMinimum Qualifications:6+ years of JavaScript experience, including concepts like asynchronous programming, closures, types, and ES65+ years of HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibilityExperience with browser APIs and optimizing front end performanceExperience building maintainable and testable code bases, including API design and unit testing techniquesDemonstrated experience driving change within an organization and leading complex technical projectsCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Shipped at least one large-scale product to production, supporting millions of active usersAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Front End"
+821,2025-04-06,New York,,SoTalent,https://sotechtalent.com/,"At SoTechTalent, we specialise in connecting forward-thinking tech companies with world-class talent. With deep expertise in SaaS, AI, Cybersecurity, Data and Fintech, we provide bespoke hiring and recruitment solutions tailored to help your business thrive. Whether you're scaling a startup or building a powerhouse team, we're here to make finding exceptional talent effortless and impactiful. ","Company OverviewOur client is a US banking institue with a global reach, best known for its credit cards, but it also offers a full range of banking products—including savings and checking accounts, auto loans, and business banking. They’re a major player in both consumer and commercial finance, and what sets them apart is their heavy investment in tech leaning hard into data, AI, and cloud computing to make banking smarter, faster, and more user-friendly. About the Role We’re looking for a data scientist to help shape smarter financial tools at scale. You’ll work with large, complex datasets and apply advanced machine learning techniques to improve the way customers interact with their finances. Your models will power real-world decisions that aim to reduce financial stress and increase efficiency for everyday users.About the TeamYou'll join the customer management analytics team focused on building intelligent, automated systems that guide key decisions for existing users. You'll partner closely with engineers, analysts, and product teams — to bring ideas from concept to production. The team owns every stage of the model lifecycle, from development to deployment, ongoing maintenance, and compliance. A big focus of our current work is streamlining models with fewer manual inputs, increasing both scalability and ease of use.What You’ll DoCollaborate with engineers, analysts, and product managers to build tools people actually want to useWork with a tech stack that includes Python, Spark, AWS, and open-source libraries to analyze large-scale dataDevelop, test, and deploy machine learning models that influence business outcomesCommunicate complex ideas clearly to people who aren’t data scientistsWhat We’re Looking ForYou might be a fit if you:Enjoy solving loosely defined problems and aren't afraid to suggest new approachesKeep up with the latest trends in data science and are eager to apply themHave a solid foundation in statistical modeling and machine learningCan translate technical findings into actionable business insightsHave experience with programming languages like Python, R, or Scala, and are familiar with SQLKnow your way around cloud platforms (AWS experience is a bonus)Qualifications Minimum:A Bachelor’s degree in a quantitative field (math, statistics, computer science, etc.) with at least 2 years of analytics experience ORA Master’s degree in a related field or an MBA with a strong quantitative backgroundPreferred:Master’s or PhD in a STEM fieldExperience working in cloud environments, especially AWS2+ years of hands-on experience with Python, R, or ScalaBackground in building and deploying machine learning modelsFamiliarity with SQL and data pipeline toolsSponsorship for employment authorization may be available for qualified candidates.",Associate,Data Scientist
+822,2025-03-25,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The Generative AI Production TeamThe Post-Training pod under Generative AI Production Team is at the forefront of refining and enhancing generative AI models for advertising, content creation, and beyond. Our mission is to take pre-trained models and fine-tune them to achieve state-of-the-art (SOTA) performance in vertical ad categories and multi-modal applications. We optimize models through fine-tuning, reinforcement learning, and domain adaptation, ensuring that AI-generated content meets the highest quality and relevance standards.We work closely with pre-training teams, application teams, and multi-modal model developers (T2V, I2V, T2I) to bridge foundational AI advancements with real-world, high-performance applications. If you are passionate about pushing cognitive boundaries, optimizing AI models, and elevating AI-generated content to new heights, this is the team for you.As a Machine Learning Engineer, you will drive innovations in post-training optimization, reinforcement learning, and fine-tuning techniques to maximize the performance of generative AI models. You will work on multi-modal diffusion models, transformer architectures, and various RL algorithms to adapt pre-trained models into highly performant, domain-specific AI solutions.Responsibilities Develop and implement fine-tuning strategies for large-scale diffusion models (T2V, I2V, T2I) to achieve SOTA performance in advertising and creative applications. Optimize reinforcement learning methods (e.g., DPO, PPO, GRPO) to refine generative model outputs, ensuring alignment with human preferences and business objectives. Enhance model personalization by integrating domain adaptation, contrastive learning, and retrieval-augmented generation techniques. Work closely with pre-training teams to refine and extend model capabilities, ensuring seamless adaptation from foundational training to specialized, high-precision use cases. Collaborate with application teams to deploy fine-tuned models into real-world content generation pipelines, optimizing for latency, efficiency, and content quality. Advance model evaluation and signal growth strategies, designing innovative objective and subjective evaluation metrics for continuous model improvement. Integrate novel training methodologies, such as self-supervised learning, active learning, and reinforcement learning-based data curation, to enhance generative model quality. Explore cutting-edge techniques from academia and open-source communities, driving innovation in generative AI and maintaining TikTok’s leadership in the field.QualificationsMinimum Qualifications: B.S., M.S., or Ph.D. in Computer Science, Electrical Engineering, or a related field. 3+ years of industry experience in machine learning, deep learning, and large-scale AI model optimization. Expertise in PyTorch, diffusion models, and transformer architectures. Strong background in fine-tuning large models for vertical applications in multi GPU settings. Hands-on experience with reinforcement learning (DPO, PPO, GRPO), contrastive learning, and retrieval-based methods. Deep understanding of generative model evaluation, multi-modal learning, and domain adaptation techniques. Experience in scaling model fine-tuning and inference on large GPU clusters. Strong proficiency in model distillation, quantization, and memory-efficient optimization techniques (e.g., LoRA, QLoRA, ZeRO, DeepSpeed). Familiarity with distributed computing frameworks (Ray, Triton, vLLM) for large-scale AI training. Ability to design iterative data curation loops that enhance model learning signals and domain relevance. Experience in active learning, dataset distillation, and self-improving model pipelines.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer - GenAI Post Train, Monetization Generative AI"
+823,2025-04-02,Bentonville,Arkansas,Walmart Data Ventures,https://www.walmartdataventures.com/,"With approximately 255 million customers and members visiting more than 10,500 stores and numerous eCommerce websites in 19 countries, Walmart is uniquely positioned to serve customers how, when and where they want.  
+
+Formed in 2021, Walmart Data Ventures unlocks the full value of Walmart’s first-party data, delivering actionable, customer-centric insights through Scintilla, our integrated insights ecosystem. Scintilla is now available in the U.S., Mexico, and Canada, offering Merchants and brands a comprehensive solution to make informed business decisions in today’s dynamic retail environment. 
+
+The name ‘Scintilla,’ derived from the Latin word for ‘spark,’ embodies the power of a single insight to ignite transformative ideas. Even the smallest, most granular data point can drive decisions that create meaningful impact. Scintilla empowers businesses to turn insights into action, optimizing every touchpoint along the customer journey—from home to store—and the product journey—from source to shelf. 
+
+At Walmart Data Ventures, our mission is to deliver value to customers, suppliers, merchants, and store operators by bridging insights with actionable strategies that enhance the retail experience. ","Position Summary...What you'll do...We are looking for a Machine Learning Engineer III to work on scaling and deployment cutting-edge machine learning and deep learning algorithms powering Data Ventures team, akin to a nimble startup incubated within Walmart, building the best-in-class Suite of Data Products to deliver actionable, customer-centric insights and help merchants and suppliers make better business decisions on omni channel 360 performance. You will play a self-starter team player role in working with the architects on data science solutions. You’ll spend your days working on and implementing MLOPs best practices and optimizing and deploying various ML models and solutions. Position ResponsibilitiesThe Machine Learning Engineer works on building and deploying scalable end-to-end data science solutions for our data products. Works closely with data engineers, data analysts, data scientists and application developers to help build ML and statistics driven models and continuous model monitoring workflows Contributes to the MLOps lifecycle, from data monitoring to refactoring data science code to building robust ML model lifecycle Works with Data Scientists and Architects to deploy holistic machine learning solutions after successful prototypingFollow industry best practices, stay up to date with and extend the state of the art in machine learning research and practiceYou’ll Sweep Us Off Our Feet IfYou have engineering mindset and exposure to software engineering principles, Agile methodologies, CICD, distributed systems and implemented that in Machine Learning projectsYou have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, Shell scripting. You worked on integrating ML models with webservicesAbout Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, Hybrid WorkWe use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.BenefitsBenefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity EmployerWalmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.‎‎‎You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.‎For information about PTO, see https://one.walmart.com/notices.‎‎Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.‎Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.‎For Information About Benefits And Eligibility, See One.Walmart.‎Sunnyvale, California US-04397:The annual salary range for this position is $117,000.00-$234,000.00‎Bentonville, Arkansas US-10424:The annual salary range for this position is $90,000.00-$180,000.00‎‎‎‎‎‎‎‎‎‎Additional Compensation Includes Annual Or Quarterly Performance Bonuses.‎Additional Compensation For Certain Positions May Also Include‎‎ Stock‎‎Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America",Entry level,Data Scientist III - Machine Learning Engineer - Data Ventures
+824,2025-03-26,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.You WillReport into the TLM for the Learned Metrics TeamDevelop ML models that assess our autonomous vehicle's behavior.Develop ML infrastructure to support performant models.Collaborate across teams to bring state-of-the-art to production.You HaveBS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience2+ years of experience building productionized ML modelsCode and design skills: comfort building production systems (Python / C++)Background in applied Deep LearningA track record in improving model qualityWe Prefer4+ years of experience building productionized ML modelsExperience in reinforcement learning, transfer learning, or learning.Experience with large scale data and modelsThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$204,000—$259,000 USD",Mid-Senior level,Senior Machine Learning Software Engineer
+825,2025-04-03,Tampa,Fl,Kforce Inc,https://kfrc.co/4cjVXax,"Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers industry-leading companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise.
+
+Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®","ResponsibilitiesKforce has a client that is seeking an AI Software Engineer in Pittsburgh, PA. This is a hybrid position reporting to our client's office 3 days a week in downtown Pittsburgh. Overview: This individual will play a pivotal role in shaping the future of our AI capabilities through the development and implementation of our generative AI platform. This dynamic full-stack position is at the forefront of technological innovation, where you will lead groundbreaking initiatives that transform how we leverage AI to drive operational efficiency and enhance client services. Essential Duties and Responsibilities: Lead the development and delivery of our generative AI platform Collaborate with cross-functional teams to ensure the successful implementation and adoption of AI-driven solutions Develop optimized scalable vector databases to support return augmented generation in AI Develop tools that interface with and process output from cloud APIs Design and implement AI safety controls at the web application and API layer, working closely with security Design and build fault-tolerant scalable infrastructure to support long-running large-scale AI tasks reliably despite failure of individual nodes Design and build infrastructure for serving large AI models in our private cloud environment Develop and maintain project plans, timelines, and budgets Stay up to date with industry trends and best practices in digital adoption platforms and AI technology Mentor junior engineers by providing insights and best practices in AI software development and integration, promoting a culture of continuous learning and professional development Write detailed documentation for our AI systems, processes, and best practices to ensure clarity and facilitate knowledge sharing across the organizationRequirements Bachelor's degree in Computer Science, Computer Engineering, or other technical field Minimum of five (5) years of recent experience designing and building web, automation, and/or AI solutions to address business needs Strong knowledge of generative AI principles and AI prompt structure Firm understanding of UX principles and web design programming languages; HTML, CSS, Node JS, React, JavaScript and/or TypeScript, Python, Perl, etc. Experience following Agile software development methodologies (e.g., Scrum, Kanban) Ability to effectively manage, maintain, and scale Docker containers and Linux hosts Ability to use Azure DevOps Repos for source control and deployment of all code projects Ability to understand technical possibilities and limitations of AI platforms and to explain complicated technical concepts to non-technical audiences Experience working in a deadline-driven environment and multitasking/prioritizing a workload of competing priorities Experience collaborating cross-functionally to create alignment and support; ability to independently manage several projects simultaneously and operate under tight deadlines; Background in organizational change management is a plusWhy Should You Work With Us Competitive salary and generous Paid Time Off Hybrid work schedules Paid Holidays, including a floating Holiday Wellness program, including free use of the Calm App Free use of building gym Caregiving assistance with Bright Horizons (child, elder, and pet care) Access to our firm-wide emergency assistance fund Free full access to LinkedIn Learning Insurance - Medical, Dental, Vision 401K Program Retirement Savings ProgramThe pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.This job is not eligible for bonuses, incentives or commissions.Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.",Mid-Senior level,AI Software Engineer
+826,2025-01-13,Irvine,California,Turion Space,http://www.turionspace.com,"Unleashing Mankind's Galactic Destiny
+*we build DROIDs and STARFIRE
+
+https://x.com/TurionSpace
+https://www.youtube.com/@TURIONSPACE","Department: PayloadLocation: Irvine, CaliforniaCompensation: $110,000 - $130,000 / yearDescriptionThe Machine Learning Team concentrates on developing and implementing novel machine learning algorithms for solving trailblazing problems in the developing new space economy. These include but are not limited to, Computer Vision, Edge Processing, Data Fusion, and probabilistic statistical modeling.As a Machine Learning Engineer, you will innovate upon existing capabilities, assimilate current research, implement state-of-the-art algorithms, productionize models, develop MLOps solutions, and work with end-users to integrate solutions. Expected start date: January 2025Key ResponsibilitiesDesign, develop, and validate algorithmic solutions which are highly reliable and scalableResearch and identify useful algorithms for challenging space-based applicationsOptimize the runtime performance of existing implementationsInterface with end-users and partners in Colorado Springs' collaborative environmentsIntegrate current and future machine learning solutions into production pipelines Contribute to team discussions, providing insight and feedback to collectively drive innovation across several related projectsQualificationsMinimum Qualifications:Bachelor's or Master's degree in Data Science, Machine Learning, or related technical field, or have 4+ years of relevant professional experienceStrong programming skills in PythonStrong experience with one or more of the following: Pytorch, Tensorflow, JaxStrong understanding of linear algebra, calculus, statistics, and machine learningExperience in developing advanced machine learning applicationsExperience with data analysis, data engineering, and data exploration techniquesExcellent problem-solving, critical thinking skills, and strong engineering fundamentalsBe able to effectively communicate complex topics and algorithms related to your workStrong oral and written communication skillsExperience with Linux and shell command-line toolsMust be willing to travel for participation in cross-company collaborationMust be able to work extended hours and weekends as needed on rare occasionsMust be able to obtain a Secret and/or a TS/SCI clearancePreferred Skills and ExperienceStrong programming skills in C++Experience productionizing machine learning solutionsExperience working with machine learning in cloud environments (AWS, GCP, Azure, etc.)Experience with one or more of the following: computer vision, uncertainty quantification, signal processing, computational physics, time series analysisExperience with one or more of the following platforms: KubeFlow, Blender, Nvidia OmniverseITAR Requirements:This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.BenefitsHealth Insurance: Comprehensive medical, dental, and vision coverage.Retirement Plans: Access to a 401(k) plan.Paid Time Off: Generous vacation days, personal days, and holidays to ensure you have time to recharge.Professional Development: Opportunities for ongoing training, workshops, and courses to advance your skills and career growth.Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment.Diverse and Inclusive Culture: A commitment to diversity and inclusion, with initiatives to support a welcoming and equitable work environment.Turion Space is an Equal Opportunity Employer; employment with Turion Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of Turion's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify the Human Resources Department.",Mid-Senior level,Machine Learning Engineer
+827,2025-04-06,New York,NY,Ankura,http://ankura.com,"Ankura Consulting Group, LLC is an independent global expert services and advisory firm that delivers services and end-to-end solutions to help clients at critical inflection points related to change, risk, disputes, finance, performance, distress, and transformation. The Ankura team consists of more than 1,800 professionals in more than 35 locations globally who are leaders in their respective fields and areas of expertise. Collaborative lateral thinking, hard-earned experience, expertise, and multidisciplinary capabilities drive results and Ankura is unrivaled in its ability to assist clients to Protect, Create, and Recover Value.","Ankura is a team of excellence founded on innovation and growth.Practice OverviewAnkura’s Data & Technology Practice includes client services in the areas of Analytics & Data Strategy, eDiscovery & Cyber Security. Our Data & Technology team helps our internal and external customers design, execute and test cutting edge solutions in each of our respective areas.Role OverviewAs a Senior Data Scientist in the Data Analytics & AI practice You will be developing and implementing data processing software, analytics algorithms, yielding optimization solutions to our business problems using programming languages such as Java, C, SQL, and Python. In this role, you will interact with a team of experts in Machine Learning and advanced AI analytics. This role offers the chance to work on challenging projects, collaborate with talented professionals, and contribute to the success of leading organizations across industries.This role is remote, located in the United StatesResponsibilitiesAdvocating product with internal customers and leading demos with prospective clients Applying AI, machine learning, and analytics techniques to develop analytics solutions to business problems. Developing, maintaining, and deploying analytics software. Establishing effective relationships with internal analytics, consulting, research teams and other key stakeholders to quickly bring products, tools, and models to market Understanding the market need, competitive landscape; identifying differentiators and opportunities for our products/solutions RequirementsApplicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the futureBA/BS in Computer Science, Engineering, Business Analytics or another analytical area. Advanced degree preferred.5-7+ years of experience as a Data Scientist1-2 AI projects (internal/external) using Generative AIStrong experience in Python/R language, and optionally in different programming languages such as C#, Scala and Spark. Excellent understanding of GenAI, LLMs, approaches to fine tuning, evaluation, and prompt engineeringExcellent skills in machine learning/deep learning-based algorithms with structured/ unstructured dataStrong mathematical & statistical understanding behind the algorithmsKnowledge in NLP with packages like Stanford NLTK packagesStrong SQL skillsets are requiredML skills in modern cloud infrastructure such as Azure, AWS, or GCP is strongly desiredIntermediate skills in visualization tools like PowerBI or Tableau is a plusExperience with automated ML tools like Dataiku, Data Robot, or H20.AI is a plusAbility to travel 25%+ or as needed, dependent upon engagement(s) For individuals assigned and/or hired to work in California, Colorado, or New York, Ankura is required to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the said markets and considers a broad range of factors including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The range does not include additional benefits outside of salary. At Ankura, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each role. A reasonable estimate of the current base pay range is between $85, 000 to $200,000; this range is not a promise of a particular wage.Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.",Mid-Senior level,"Senior Artificial Intelligence (AI) Data Scientist, Data & Technology, Data Analytics & AI (Remote)"
+828,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.Job Responsibilities Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, etc. Build machine learning solutions and algorithm strategies by the analysis and mining of a large number of user query to empower the merchant side and improve the overall matching ability of the platform Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological developmentQualificationsMinimum Qualifications Proficient in at least one programming language: c++, python, shell, and other programming skills, with a solid programming foundation and good programming style Experience in algorithm development, familiar with the application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet), familiar with commonly used deep learning algorithmsPreferred Qualifications Able to solve problems independently, good sense of teamwork and communication skills; Experience in search engines, recommendation systems, and computational advertising-related fields is preferred.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Search Engine, E-Commerce Alliance"
+829,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications Experience programming with at least one software programming language 3+ years of non-internship professional software development experience Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Hands-on experience with generative AI technologyPreferred Qualifications Bachelor's degree in computer science or equivalent Hands-on experience with at least one ML library or framework 1+ years of experience in developing, deploying or optimizing ML models. 2+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2918741",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center"
+830,2025-03-06,San Diego,CA,"pSemi, A Murata Company",http://www.psemi.com,"pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor’s 30-year legacy of technology advancements and strong IP portfolio but with a new mission—to enhance Murata’s world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi’s product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi’s team explores new ways to make electronics for the connected world smaller, thinner, faster and better.
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+The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo and HaRP are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies.
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+pSemi is an equal opportunity employer supporting a diverse workforce.","pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor’s 30-year legacy of technology advancements and strong IP portfolio but with a new mission—to enhance Murata’s world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi’s product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi’s team explores new ways to make electronics for the connected world smaller, thinner, faster and better.Job SummaryThis position will assist engineers in designing, developing, and implementing AI/ML solutions utilizing large language models (LLMs) from sources such as OpenAI, Llama, and Gemini. The intern will support the creation of Agent frameworks that leverage Agentic AI principles for autonomous decision-making and task execution. Additionally, this role will involve leveraging software to automate RFIC design workflows to improve efficiency and accuracy. This includes contributing throughout the entire product life cycle—from initial concept through scalable deployment.Roles & ResponsibilitiesThis position has responsibility for:API Development: Build robust APIs for LLM integration using frameworks like Flask and FastAPI.Agent Framework Creation: Assist in developing intelligent systems based on Agentic AI principles using tools like Langchain or Llamaindex.Data Management: Support backend software development efforts including database infrastructure management with SQL, NoSQL, or vector databases. Implement RAG systems to improve LLM performance.RFIC Design Automation: Leverage software tools to automate various stages of RFIC design workflows, including simulation setups, data collection processes, and verification procedures.Model Implementation: Collaborate with engineers to implement tools like Langchain and LlamaIndex for enhancing data flow between applications and LLMs.Research & Documentation: Conduct research on emerging technologies in AI/ML frameworks and their application to the semiconductor industry.Competency RequirementsIn order to perform the job successfully, an individual should demonstrate the following competencies:Critical Thinking: Skilled at finding logical flaws in arguments and plans; identifies problems and solutions that others might miss; provides detailed insight and constructive criticism into problems and complex situations Working with Ambiguity: Achieves forward progress in the face of poorly defined situations and/or unclear goals; able to work effectively with limited or partial information Displaying Technical Expertise: Keeps his/her technical skills current; effectively applies specialized knowledge and skills to perform work tasks; understands and masters the technical skills, knowledge, and tasks associated with his/her job; shares technical expertise with othersDriving for Results: Aggressively pursues challenging goals and objectives; will to put in considerable time and effort to accomplish objectives; takes a highly focused, goal driven approach toward work Making Accurate Judgments and Decisions: Bases decisions on a systematic review of relevant facts and information; avoids making assumptions or rushing to judgment; provides clear rationale for decisions Minimum Qualifications (Experience And Skills)Hands-on experience in programming languages such as Python. Familiarity with machine learning concepts including large language models such as GPT4, Llama, Gemini, and Claude. Experience with backend development using Flask or FastAP. Preferred QualificationsUnderstanding cloud service architecture across platforms like AWS, Azure or GCP would be advantageous.Knowledge of vector databases, RAG frameworks, and vector databases is a plus.Education RequirementsFulltime enrollment in Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or related field (must be completing 3+ years)Work EnvironmentThis job operates in a professional office environment. This role routinely uses standard office equipment.Physical DemandsThe physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds.USD 32.20 - 58.32 per hourThank you for your interest in our temporary position. Please be advised that the selected candidate will be employed and receive all wages directly from a third-party staffing agency selected by pSemi.pSemi Corporation supports a diverse workforce and is committed to a policy of equal employment opportunity for applicants and employees. pSemi does not discriminate on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender (including pregnancy, childbirth, or related medical conditions or breastfeeding), gender identity, gender expression, genetic information, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code section 12801.9), ancestry, physical or mental disability, legally-protected medical condition, military or veteran status (including “protected veterans” under applicable affirmative action laws), marital status, sexual orientation, or any other basis protected by local, state or federal laws applicable to the Company. pSemi also prohibits discrimination based on the perception that an employee or applicant has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.Note: The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo, HaRP and DuNE are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies. pSemi products are protected under one or more of the following U.S. Patents: http://patents.psemi.com",Internship,"Intern, AI ML Software Engineer"
+831,2025-04-08,Atlanta,Georgia,Insight Global,https://www.insightglobal.com,"Insight Global is an international professional services and staffing company specializing in delivering talent and technical solutions to Fortune 1000 companies across the IT, Non-IT, Healthcare, and Engineering industries. Fueled by staffing and talent experts, Evergreen, our professional services brand, brings technical advisors and culture consultants to help customers tackle their biggest challenges. With over 70 locations across North America, Europe, and Asia, and global staffing capabilities in 50+ countries, our teams of tech-enabled recruiters are dedicated to finding the right talent and technical solutions to help our customers thrive. At our core, we are dedicated to empowering people to do great things. That’s why we’re passionate about developing our people personally, professionally, and financially so they can be the light to the world around them. To find out more, visit www.insightglobal.com","Thank you so much for your interest! This position is a REMOTE 12mo contract that will likely offer extensions, and potentially conversion to FTE. The role is moving quickly and our client is looking to extend an offer ASAP.Title: AI/ML EngineerDuration: 12 month remote contract, extensions / conversion expectedInterview Process: 2 Rounds1st Round: Preliminary Assessment via MS Teams, 30 minsFinal: 1hr with (2) team members, 20-30 min live scripting assessment includedStart Date: ASAPHourly Pay: $45-65/hr (approx)Compensation is based on qualifications including education, certifications, experience, and moreSchedule: Mon-Fri day shift, EST/CST schedule Must HavesMasters Degree & 1-2yrs exp or Bachelors Degree & 3-4 yrs expExpert level programming/scripting skills with Python/SQLExperience with cloud computing platforms, ideally Google CloudExperience creating Deep Learning Models with large data sets in TensorFlow, PyTorch, JAX, etc and optimizing training or deployment for GPUsExperience working in a team Git environment PlussesComfort calling Generative AI (GenAI) APIs, with or without “tools”, potentially as agentsIndustry experience in optimizing training and inference pipelines using HuggingFace on A/L/H series GPUs, enhancing model performanceIndustry experience using LLM Ops toolsExperience with GCP tools such as BigQuery, VertexAI, DataFlow, DataProc, etcExperience with healthcare dataAdvanced degree Day to Day Summary: We seek a highly skilled Data Science Consultant for our Medicare Member Experience data science team. In this role, you will be responsible for developing and deploying Artificial Intelligence and Machine Learning (AI/ML) solutions related to structured and unstructured NLP data from our members. Your solutions will drive improvements to models, pipelines, and text analytics programs. These programs maintain our industry-leading satisfaction scores and drive millions of dollars of Medicare reimbursement for the business. Your expertise in data science crossed with engineering best practices enables you to rapidly iterate from POC to final delivery.",Associate,Machine Learning Engineer
+832,2025-03-26,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
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+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The ML Platform team builds tools & infra that empower all ML Engineers at Waymo to experiment & deploy ML models efficiently. These systems include solutions for data mining, data labeling, data understanding, model evaluation, artifacts management, ML orchestration, and ML Ops. We are looking for a senior leader to join our team to apply ML into our product offerings, making Waymo to be more efficient in deploying ML solutions.You WillReport into the Head of ML PlatformBring state-of-the-art ML techniques into products within Waymo's ML Platform by collaborating with others in the teamCollaborate with ML practitioners on models for perception, behavior prediction and planner to understand their modeling needs to shape the solutionsExample project: reinvent model evaluation at Waymo through model calibration techniques. More specifically, by calibrating the confidence score of Waymo's ML models, this will provide a more scalable way of estimating the performance of the models. By coupling this score with active learning techniques, this creates a flywheel in selecting data in improving the models autonomously.You Have8+ years of professional experience in the field of software engineeringExperience in programming C++ or PythonExperience with ML model developmentExperience in applying ML solutions to productsPassionate about development efficiency & productivityNice To HaveExperience in building internal toolings for ML developersExperience using open source computer vision models such as YOLO and SAMThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$238,000—$302,000 USD",Mid-Senior level,"Staff Machine Learning Engineer, ML Platform, Waymo"
+833,2025-02-18,New York,NY,Medal,https://medal.tv,"Medal.tv helps millions of gamers capture, manage, and share their best gaming moments every day. Users can also watch clips from their friends and  others that they've played with.","Medal enables millions of gamers to capture and share their best gaming moments and create memories together. Medal's 1M+ daily active users create 3M+ videos per day on our desktop and mobile applications. Your work will have a real impact on millions of people around the world!This role will be responsible for embedding Medal's database of billions of gaming clips to be contextualized more easily in the product, in addition to augmenting the embeddings via automated annotations and computer vision to create rich context around the clips.From a product perspective, this work will be used to improve library and social search functionality, and inform the ML recommendation system in Medal's social feed. In the future, the work will be used to improve the quality of the video editor via automation.What we're looking for:Depth of XP: 4+ years of video machine-learning, with a focus on image embedding and computer vision. Bonus for applicants who have XP in generative AI, familiarity with high throughput video inference/feature extractionIn-person: Looking to hire in NYC to contribute alongside the product team. 3+ days in the officeOwnership & attention to detail: You see things through, and can be responsible for end-to-end quality of complex featuresCode Performance: Excellent understanding of code performance and performance implications in productionBe result-driven: Everything we do is driven by the metrics and performance of the feature. We move fast and ship regularlyMeasuring with metrics: Comfort with A/B testing and measuring results with usage metricsGaming: A passion for games and the gaming communities, and a user of Discord and other gaming-adjacent products. XP working on gaming-related projects is a plusOur stack:ML technologies: GCP, Bigquery, OpenCV, PyTorch, KubeFlow Pipelines, AirflowDesktop Front-end: Electron, React, Redux, & other modern web-based technologiesRecorder: C# and C++Mobile: Swift for iOS, Kotlin for AndroidBackend: Java, Redis, RabbitMQ, Kubernetes, DockerInfra: Terraform, Salt, GitHub Actions, CircleCI for IaC and CI/CDPlease include the following:Links to apps you’ve released/portfolio, and a description of your contributionsResumeLinkedIn (Twitter if relevant)GithubThe pay range for this position at the start of employment is expected to be between $140,000 and $275,000 per year. However, base pay may vary further depending on individualized factors for candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Moreover, stock options will be issued. Our packages are strong for top-tier talent. The total compensation package for this position may also include other elements, including a bonus and a full range of medical, financial, and/or other benefits.",Not Applicable,Generative AI / Machine Learning Engineer - NYC
+834,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.We're looking for 2025 new grads to join us - In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously. Collaborate with product teams to define business objectives and improve trust and safety strategy. Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale. Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies. Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, Active learning models, Reinforcement learning models, and Large Language Models.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.QualificationsMinimum Qualifications: Master or Bachelor degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields. Hands-on or academic experience in one or more of the following areas: Machine learning, Large Language Models, Recommendation Systems, and related areas. Strong coding skills. Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $116000 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (CV/NLP/Multimodal LLM- TikTok Trust and Safety) - 2025 Start (MS/BS)
+835,2024-07-24,,,Sony Interactive Entertainment,,,"Why PlayStation?PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.This Role will be based in London and would require relocationExperienced Deep Learning Engineer For Game TechnologyWe are looking for an experienced machine learning engineer with a solid understanding of low-level systems programming. If you are as comfortable in the memory view of your debugger as you are with training networks to solve problems, we would love you hear from you.This role could suit an experienced embedded/games industry programmer with a passion for Machine Learning, or an accomplished Machine Learning/Vision programmer with a good understanding of computer architecture and performance.The TeamThe Advanced Technology Group (ATG) is part of PlayStation Studios, and contributes to some of the most recognisable and ambitious console games and franchises. In addition to its original mission of developing ground-breaking technology for our games, which this role falls under, the group is also a key contributor to platform development, with among other things responsibility for a large part of the GPU software stack all PS5 games are built with.You will be part of a small creative team of ATG programmers tackling problems centred around computer vision and machine learning. Examples of some projects include the runtime tracking of PlayStation VR2 Sense controllers and a novel facial performance capture system used to produce assets for AAA games.Role OverviewYou are expected to develop innovative algorithms to solve novel problems, make technology choices, prototype solutions and bring them to production. Some of these systems are expected to run on millions of PlayStations in people’s homes, making high run-time performance crucial. You should stay up to date with the competition and the industry’s latest advances and academic developments. The role also involves close collaboration with our other teams in Europe, the U.S and Japan, as well as technical communication of the ideas and solutions developed.What We're Looking For Extensive experience with modern Deep Learning (PyTorch/TensorFlow): You will be expected to make decisions about data and architectures, to implement pipelines for training and validation and to develop and deploy models in production. Experience with C++ programming and strong debugging skills Understanding and experience of 3D maths/geometry: Including multiple-view geometry and 3D mesh representations.Nice-to-have Experience with Graphics and/or Game Engines Experience with Computer VisionBenefitsDiscretionary bonus opportunityPrivate Medical InsuranceDental Scheme25 days holiday per yearOn Site GymSubsidised CaféFree soft drinksOn site barAccess to cycle garage and showers“Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights”Equal Opportunity Statement:Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category.We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.Equal Opportunity Statement:Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.",Not Applicable,Machine Learning Engineer for Game Technology
+836,2025-03-20,San Francisco,California,Uber,http://www.uber.com,"We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
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+The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.","About The RoleWe are looking for an experienced Senior Machine Learnign Engineer to join the Trusted Identity engineering team at Uber.The Trusted Identity org plays a crucial role in our mission to thoroughly verify the identity of our customers (riders, eaters) and partners (drivers, restaurants) while ensuring powerful, intuitive and streamlined user experiences. Our continued obsession for innovation in the space is essential to ensure safety as people interact on Uber's platform. The Account Integrity team in this org prevents fake identities from operating on the platform, and ensures that accounts are not duplicated nor fraudulent to enhance accountabilityWhat The Candidate Will Need / Bonus Points---- What the Candidate Will Do ----Develop production machine learning solutions to ensure the integrity of every Uber accountPartner with engineering and product leaders to help shape the roadmapLeverage digital information, behavior signals and social networking signals to establish trust in users. Build large scale systems to find similarities and relationships between various entities such as users, devices, images etc. Integrate with business systems dealing with risk, safety, and compliance.  Basic Qualifications5+ years of industry experience developing machine learning models ( both classical and deep learning) and shipping ML solutions to production. Bachelor's degree in Computer Science, Engineering, Mathematics or related fieldStrong problem-solving skills, with expertise in ML methodologiesExperience in applying ML, statistics, or optimization techniques to solve large-scale real-world problemsIndustry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java Preferred QualificationsPhD degree in Computer Science, Engineering, Mathematics or related fieldFamiliarity with multi-task learning, LLMs and anomaly detectionFraud domain knowledgeFor San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.",Mid-Senior level,"Senior Software Engineer, Machine Learning"
+837,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
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+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications Experience programming with at least one software programming language 3+ years of non-internship professional software development experience Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Hands-on experience with generative AI technologyPreferred Qualifications Bachelor's degree in computer science or equivalent Hands-on experience with at least one ML library or framework 1+ years of experience in developing, deploying or optimizing ML models. 2+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2918741",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center"
+838,2025-04-04,Austin,Texas,Oracle,http://www.oracle.com,"We’re a cloud technology company that provides organizations around the world with computing infrastructure and software to help them innovate, unlock efficiencies and become more effective. We also created the world’s first – and only – autonomous database to help organize and secure our customers’ data.
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+Oracle Cloud Infrastructure offers higher performance, security, and cost savings. It is designed so businesses can move workloads easily from on-premises systems to the cloud, and between cloud and on-premises and other clouds. Oracle Cloud applications provide business leaders with modern applications that help them innovate, attain sustainable growth, and become more resilient. 
+ 
+The work we do is not only transforming the world of business--it's helping defend governments, and advance scientific and medical research. From nonprofits to companies of all sizes, millions of people use our tools to streamline supply chains, make HR more human, quickly pivot to a new financial plan, and connect data and people around the world.  
+
+At work, we embrace diversity, encourage personal and professional growth, and celebrate a global team of passionate people developing innovative technologies that help people and companies tackle real-world problems head-on.
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+If you’d like to join us, please visit our Careers page: https://www.oracle.com/corporate/careers/
+
+For investor news, SEC filings, and financial information about Oracle (NYSE:ORCL), please visit https://investor.oracle.com/home/.
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+Follow us on X: x.com/oracle 
+Like our page on Facebook: facebook.com/Oracle/ 
+Follow us on Instagram: instagram.com/oracle/
+","Job DescriptionAre you passionate about extracting insights from various data sources at large scale to support the development of complex systems? We are looking for a Data Engineer/ML Engineer who has the right mix of data processing experience, ML data preparation know-how and understanding of distributed systems to join us in solving complex problems in the context of information and network security. Our customers operate cloud environments at hyper scale and we strive to support their business success by designing and building innovative new solutions to monitor the security of their operations. We are a team with the energy of a start-up and value driven professionals who have passion to learn, enable others and deliver production quality solutions.Career Level - IC2ResponsibilitiesYour responsibilities include:Preparing and cleaning large volumes of data.Implementing safeguards to guarantee data quality.Introduce and align data government practices. Conduct periodic review of requirements on data ingestion and availability.Process and analyse data from various sources to extract basic statistics and insights.Contribute to the development of analyses to understand how the systems producing the data operate.Contribute to the development of monitoring capabilities to track information security.Contribute to the automation of development processes.Closely collaborate with our partner OCI operations team on data availability, resource provisioning, etc. Your qualifications:Bachelor’s or Master’s Degree in Computer Science or related field.2+ years of experience in data engineering or related field or equivalent experience. Experience in ML development or data preparation for the use of ML is a plus. Comfortable with writing non-trivial code in Python, Scala, and good skills in Java.Good background in cloud infrastructure automation (Terraform, Chef, or similar).Basic to good background in distributed systems incl. Spark and container platforms incl. Kubernetes. Experience in working in a DevOps model using any of the major cloud providers Azure, AWS, GCP, OCI, etc.Critical thinking skills and ability to solve complex problems.Excellent organizational, verbal, and written communication skills.Strong teamwork and collaboration skills.We offer:A team of very skilled, enthusiastic, and supportive colleagues.Ability to work in a hybrid environment.Ongoing training and skills development to further your career aspirations.Exposure to incredibly large-scale network infrastructure and the opportunities for innovation it brings.The resources of a large, global operation while keeping the feel of a smaller tight-knit team.The opportunity to deliver customer impact.QualificationsDisclaimer:Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.Range and benefit information provided in this posting are specific to the stated locations onlyUS: Hiring Range in USD from: $73,700 - $158,200 per year. May be eligible for bonus and equity.Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.Oracle US offers a comprehensive benefits package which includes the following: Medical, dental, and vision insurance, including expert medical opinion Short term disability and long term disability Life insurance and AD&D Supplemental life insurance (Employee/Spouse/Child) Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 11 paid holidays Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal Voluntary benefits including auto, homeowner and pet insuranceThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.About UsAs a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.",Mid-Senior level,Data engineer/ML engineer in Eastern/Central
+839,2025-04-01,San Francisco,California,Sentry,https://sentry.io,"Application monitoring software considered ""not bad"" by 4 million developers. Looking for support? ➡️ http://sentry.io/support.
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+Check out our merch store @ https://sentry.shop","About SentryBad software is everywhere, and we’re tired of it. Sentry is on a mission to help developers write better software faster so we can get back to enjoying technology.With more than $217 million in funding and 100,000+ organizations that believe we’re on to something, we're building performance and error monitoring tools that help companies like Disney, Microsoft, and Atlassian spend less time fixing bugs and more time building products.Sentry embraces a hybrid work model, with Mondays, Tuesdays, and Thursdays set as in-office anchor days to encourage meaningful collaboration. If you like to selfishly build things that make your digital life better, come help us build the next generation of software monitoring tools.About The RoleSoftware Engineering Interns at Sentry write real code on real projects that ship to production; no fetching coffee required.In this role you willBe matched with one of our Product or Infrastructure Engineering teams, based on your interests and experienceDesign, develop, and ship a programming solution that drives real values to customersReceive meaningful feedback, coaching, and mentorship from your manager and teammatesYou’ll love this job if you Want to experience being a full-time engineer on a team and not be ""just an intern""This means being responsible for leading a project from ideation to deployment, including writing a tech spec, scoping out work, technical implementation and testing, and shipping code!Value mentorship and being able to work closely with and learn from world-class engineersWant to join a modern software development team that iterates and ships code rapidlyAre excited at the opportunity to contribute to an open-source project every dayQualifications  Currently enrolled in an undergraduate or post-graduate degree program in Computer Science (or similar)Experience with Python, JavaScript or a similar dynamic programming language through internships, personal projects, or coding competitionsAt least 1 previous internship or equivalent practical experienceWe expect interns to be able to learn and deliver quickly (an intern’s first PR to Sentry is usually merged within a week). While a prior internship is not required, we expect the following abilities, experience, and skills from any applicant:Experience working with GitHubCollaborating with a team on an engineering projectAbility to pick up a new programming language quicklyYou know the fundamentals of algorithms and data structuresThis position begins September 2025Willing to relocate to San Francisco for the duration of your internship (we'll help get you here and provide a housing stipend)Please note visa sponsorship is not available for this positionThe base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $53.13 per hour. A successful candidate will be eligible to participate in Sentry’s employee benefit and perks programs applicable to the candidate’s position (including medical, dental and vision insurance coverage as well as temporary relocation support). See Sentry Benefits for more details about the Company’s benefit plans/programs.Equal Opportunity at SentrySentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy.",Internship,"Software Engineer, Intern (Fall 2025)"
+840,2024-06-26,Cambridge,Massachusetts,ISEE,https://www.isee.ai,"ISEE is an autonomous driving technology company, spun out of MIT, whose humanistic, AI-powered, self-driving yard trucks are modernizing the global supply chain for the world’s leading companies. ISEE autonomous yard trucks are helping customers like Maersk, Lazerspot, and Fortune 100 retail companies automate their logistics hubs and achieve even greater yard safety, cost savings, consistent driving performance, and reliable driving capacity. With proprietary technology that anticipates unexpected behavior better than any other solution on the market, ISEE is poised to become a leader in the $100B global autonomous yard truck market.","ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has several years of work experience.Role responsibilities include: Working on the intersection of sensing and perception algorithms Prototyping and deploying robust computer vision algorithms on ISEE’s vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition Benchmarking and maintaining developed modules Work independently to deliver high-quality code in a timely fashion Collaborate with team for testing, evaluation and review of codeRequired Qualifications Degree in Computer Science, Electrical Engineering, Robotics or related field Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data Strong Python and/or C++ skills Passionate about self-driving vehicles and real-world robotic solutions Strong presentation and communication skillsPreferred Publication record in top-tier computer vision or machine learning conferences 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios Robotics/autonomous experience is a plus",Not Applicable,Machine Learning Engineer
+841,2025-03-25,San Jose,CA,Cisco,http://www.cisco.com,"Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience.  With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. ","Meet the TeamThe mission AI Defense at Cisco is to provide end-to-end protection for Enterprise AI application. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. We are pioneers in all aspects of AI security from supply chain to development time model vulnerability detection to protecting against real time attacks on deployed AI applications.Your ImpactJoin Cisco's AI Defense ML Team and be at the forefront of AI Security innovation.Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that ensure AI safety and security for all. As a Data Platform Engineer, you'll have the chance to design the data platform driving cutting-edge ML algorithms that detect and protect against AI security risks. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of detection techniques and their deployment in production environments. You will collaborate with a talented team of ML engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI safety and Security with us and make an enduring impact on AI adoption across the world!As a Data Platform Engineer, you will.Design Scalable data pipelines for large semi-structured data using advanced distributed cloud data warehouse technologies. Build backend and data infrastructure that supports our need for fast data ingestion including customer telemetry data and open-source datasets, modeling experimentation and model evaluation pipelines. Build data quality and labeling pipelines for continuous data quality improvementsCompile datasets from diverse data sources for AI Security applications. Ensure compliance with data provenance, governance, and privacy regulations; develop and enforce data creation and usage processes. Explore data generation strategies for textual and multi-modal data for AI Defense use cases, including working with the Threat Intelligence team to inform new data generation techniquesYou'll have the opportunity to contribute to our overall machine learning and data management culture as a member of the team. Minimum Qualifications:A BS with minimum 3 years of experience or MS in Computer Science/Engineering. Experience with some backend datastore similar to Snowflake or Databricks. Strong programming skills in generic programming languages such as Python or Golang. SQL proficiency for complex data transformations and querying, strong understanding of semi-structured data handling. Preferred Qualifications:An attitude of hands-on learning and constant experimentation to decompose and understand problem areas. Comfortable with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action. Familiarity with modern data warehousing technologies like Snowflake/databricks and data formats like Snowpark/IcebergAbility to use the latest GenAI technologies and creative prompting. Comfortable with traditional ML frameworks like pytorch, TensorFlow, FastAI etc... Excellent written and verbal communication skills, strong analytical and problem-solving skills. #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!",Not Applicable,Senior Machine Learning Engineer- AI Defense Team
+842,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+843,2025-04-08,New York,New York,EDO,http://www.edo.com,"EDO, Inc. is the TV outcomes company — a leading platform measuring predictive behaviors driven by Convergent TV advertising. By combining real-time engagement signals with world-class decision science, EDO data maximizes creative and media performance. We work with modern marketers at leading brands, TV networks, entertainment studios, and ad agencies. EDO's investment-grade data align advertising investments to business results - with detailed competitive, category, historical, and predictive intelligence. For industry intel, success stories, and top ads, visit EDO.com.","Who We AreEDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression — across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results — with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO’s TV intelligence to know what works.EDO is headquartered in New York City and Los Angeles, along with a San Francisco office. This position is remote.To learn more about the work we do at EDO, please visit EDO Press.The RoleAs a Machine Learning Engineer focused on performance optimization at EDO, you will join a team of talented Data Scientists and MLEs to improve the modeling pipelines that underlie our Ad EnGage product. Ad EnGage measures the effectiveness of advertising by combining and analyzing dozens of sources of household-level advertising delivery events, household-level outcome data, identity resolution data, and various other inputs. Our clients use these insights to make critical business decisions about their advertising strategy. You will work with large data sets (trillions of rows and hundreds of TB of data) using a modern tech stack centered on Python, DBT, and Snowflake.What You Will DoIdentify performance bottlenecks in Snowflake queries, and either tune modeling code to query data more efficiently or work with data engineering teams to change upstream tables for more efficient reads.Identify memory inefficiencies in Python code (ex. memory leaks, excessive copies) and rewrite more efficiently.Identify processing inefficiencies (missing parallelization, repeated computation, etc.) in data processing, modeling, and scoring code.Identify inefficient Pandas operations and optimize or migrate the step to Polars or other alternatives.Diagnose out-of-memory errors in modeling pipelines.Develop runtime and memory profiling test suites to detect performance regressions in our modeling codebase.What We Are Looking ForA minimum of 5 years of machine learning engineering, software engineering, or data science experience, including at least 3 years of development/maintenance of machine learning tools or systems.A self-driven individual who can own projects and communicate across technical teams to determine where and how to resolve performance issues. Strong knowledge of columnar databases (such as Snowflake, Redshift, etc), high performance data processing in python (like Polars or DuckDB), and Python memory and runtime optimization.Strong proficiency with Python, especially memory and CPU profiling.Strong proficiency in SQL, including inspection of query plans, query optimization, and strategies for working with slowly changing dimension tables.A strong understanding of software engineering practices, principles, and fundamentals.Experience We Can Help You DevelopSQLalchemy and Snowflake-specific expertise.Memory and CPU profiling test suites.Development and test pipelines, continuous integration.Development of feature engineering pipelines and DBT.Directly working with vendor engineers to resolve performance regressions.Compensation & Benefits:EDO offers a competitive compensation package. Components of compensation include:Mid-stage equity and competitive salaryFlexible Time OffMedical, dental and vision coverage, deeply discounted by EDO401(k) plan, FSA, HSACommuter BenefitsWhen in an office, employee meals, snacks, and moreIn compliance with New York and California Pay Transparency Law, the salary range for this position is $130,000-180,000. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.",Mid-Senior level,Machine Learning Engineer
+844,2025-03-21,New York,NY,JPMorganChase,http://www.jpmorganchase.com,"With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
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+We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services.
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+Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms
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+© 2024 JPMorgan Chase & Co. All rights reserved. JPMorganChase is an Equal Opportunity Employer, including Disability/Veterans.
+ ","Job DescriptionBring your passion for solving complex AI/ML engineering problems to a high impact role on our investment team. Through a close partnership with a team of portfolio managers and data scientists, your engineering expertise will contribute directly to the future growth and innovation of our products.As a Data Science Engineer in the Applied Data Science investment team within J.P. Morgan Asset Management, you will collaborate closely with portfolio managers and data scientists on a proprietary data science investment process. You will partner with team members across the full lifecycle of the team’s AI/ML projects, helping to solve complex engineering problems from the research stage through to production implementation.Job ResponsibilitiesDesign highly scalable pipelines for data ingestion and data processingDeploy efficient inference workflows for large-scale AI modelsEnsure pipeline robustness by constructing effective monitoring workflowsIntegrate datasets across a wide variety of formatsRemain up to date with the latest developments in AI through research and experimentationPartner directly with the team’s data scientists to facilitate research projects and production implementationRequired Qualifications, Capabilities, And Skills3+ years of relevant experience working with large-scale datasetsProficiency in programming languages such as PythonStrong understanding of data science pipelines and relevant technologiesHands-on experience with public cloud servicesIntellectual curiosity and passion for problem solvingPreferred Qualifications, Capabilities, And SkillsDemonstrated success bringing large-scale pipelines from research to productionExperience working with AWS servicesSolid understanding of AI/ML models, including previous experience with deep learning frameworksExperience working with a variety of data formats, including natural language, image, and time series dataABOUT USJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/VeteransAbout The TeamJ.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.",Mid-Senior level,Machine Learning Engineer Vice President
+845,2025-04-04,Sleepy Eye,MN,Christensen Farms,http://www.christensenfarms.com,"Founded in 1974 as a small family operation, Christensen Farms is now a leading producer and processor of high quality pork products with operations in Minnesota, Iowa, Illinois, Nebraska and South Dakota. Marketing nearly 4 million market pigs per year, Christensen Farms is also the largest shareholder of Triumph Foods, LLC. Located in St. Joseph, Missouri, Triumph Foods is a leading processor of pork products for both the domestic and global marketplace. Through Triumph Foods, Triumph members own 50 percent of Daily’s Premium Meats, a further pork processing company specializing in premium bacon, ham and other pork products. 
+
+Offering a highly collaborative and professional work environment along with endless opportunities for development and growth, learn how you can combine your passion with a growing career at Christensen Farms.","Christensen Farms is one of the largest, family-owned pork producers in the United States, marketing approximately 3 million hogs per year. Headquartered in Sleepy Eye, Minnesota, the company operates throughout the Midwest with facilities in Minnesota, Iowa, Nebraska, Illinois and South Dakota. Christensen Farms owns four feed mills, manages 140,000 sows on 44 farms, and oversees more than 350 nurseries and grow-finish sites. The company employees nearly 1,000 people and maintains 1,500 contract partnerships.From Our Manager""This Data Scientist role within our Finance group is a visible role for someone with a strong modeling background to collaborate with various business units and senior leadership. There will be many opportunities to shape this role to develop your data science/predictive analytics skillset and collaborate with senior leadership to model and find solutions to critical issues facing the organization"".Hiring ManagerPosition Overview And ResponsibilitiesThe Data Scientist position is a critical member of the finance department. In this role, you will collaborate with business leaders across multiple departments, including Procurement, Feed Mill Operations, Production, and Finance/Accounting, to drive business improvement initiatives, identify cost-saving opportunities, and deliver actionable insights through data analysis. The ideal candidate will possess a strong analytical mindset, the ability to work with large datasets, and a passion for leveraging data to influence strategic decision-making. You will contribute to high-impact projects that enhance the organization's financial health and inform decision-making at all levels. Additionally, you will support the development of our Data Lake House and apply expertise in predictive modeling and machine learning to optimize business outcomes.What You Will DoServe as the first line of support for FP&A data needs, works with stakeholders and data architects to define and design data solutions.Leverage advanced data science techniques, including artificial intelligence platforms, bring together generative artificial intelligence combined with machine learning and statistical analysis, to automate reporting processes, streamline workflows, and improve the efficiency of FP&A outputs.Develop and maintain financial and operational datasets, as well as dashboards that provide real-time insights into business performance. Ensure data accuracy and integrity to support effective decision-making.Stay up to date with the latest advancements in data science, machine learning, and BI tools to ensure that the team is leveraging cutting-edge technologies to drive impactful results.Collaborate with accounting and business leaders to assist in the preparation of annual budgets and forecasts.What You Offer UsBachelor's degree in Finance, Computer Science, Data Science or other equivalents.Highly proficient in developing and understanding SQL, Python queries.Highly proficient working with business intelligence (BI) software, SASS, Power BI.2 years minimum experience working with artificial intelligence platforms, bringing together capabilities of GenAI combined with foundation models and traditional machine learning.Pluses: IBM Watson, AI/ML data modeling, agriculture.Strong overall communication, presentation and collaboration skills.What We Offer YouFuture leadership career track within data science in a visible role.Opportunity to grow at a leading adopter of AI/ML and predictive modeling within a fast-paced ag industry.We offer a comprehensive benefits package including health, dental, vision, a flexible spending account (FSA), life insurance, short-term disability, long-term disability, a 401(k) plan, paid holidays, paid time off bank, an employee assistance program (EAP), and more. Be part of an organization that gives back to the community in many ways---including feed programs that support local farms, food shelf programs, food support for veterans, agriculture education and promotion, FFA/4H support, charitable contributions, etc. A company that has a passionate purpose for food safety, animal welfare, and for living its core values every day--respect, integrity, excellence, adaptability, and innovation. A culture that fosters employee growth, promotion from within, and a highly team-oriented workplace environment. Reports ToManager of Financial Planning & AnalysisSalary: $90000 - $120000 per yearJob Posted by ApplicantPro",Entry level,Data Scientist - Finance
+846,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.TikTok's advertising business is built on leveraging external signals to create features and labels that train personalized ad models. As signal loss becomes a growing challenge in online advertising, our Ads Identity and Attribution team is at the forefront of addressing this shift. We focus on identity matching (deriving user identification from signals) and ad attribution (assigning signals to ad touchpoints), both critical to the data foundation of TikTok's ad delivery system. What began as a technical engineering problem has evolved into a large-scale system challenge, requiring both cutting-edge data processing technologies and innovative machine learning algorithms.Responsibilities:By joining us, you'll have the opportunity to participate in the development of algorithms and systems for one of the world's leading ranking and recommendation services. Your work will mainly include: Developing advanced ML and LLM algorithms (including retrieval, ranking, calibration modules) for signal matching systems at the scale of millions of QPS Iterating and optimizing ranking algorithms and strategies through data analysis and experimentation. Leading the development and operational work of large-scale, distributed real-time systems for testing, integrating, and deploying machine learning models. Creating algorithms and data-driven solutions that utilize one of the world’s richest user behavior datasets for various ads-related use cases, such as ads ranking, targeting, bidding, calibration, and reporting. Collaborating with product teams to define product strategies and features.QualificationsQualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or related fields from an internationally renowned university. Proficient in one or more general-purpose programming languages, including but not limited to: Go, C/C++, Python. Experience in machine learning/deep learning algorithm development at large internet companies in one of the following areas: search, ads, or recommendation.Preferred Qualifications (for senior positions, must meet at least one): PhD and research experience in AI fields such as ML, NLP, CV, with papers published in top-tier conferences/journals (e.g., ICML, NIPS, KDD). Experience of engineering development experience for systems at millions of QPS scale Experience leading complex projects with successful delivery.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $129960 - $194750 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,Machine Learning Engineer - Ads Signal
+847,2025-03-27,China,China,ByteDance,https://job.bytedance.com/en/#/,"ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok.
+
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. 
+
+Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.
+
+We have over 110,000 employees based in more than 30 countries globally. Join us.","ResponsibilitiesAbout the teamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.QualificationsMinimum Qualifications: Currently pursuing a Bachelor's or Master's in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.Preferred Qualifications Graduating December 2025 onwards with intent to return to degree-program after the completion of the internship. Demonstrated software engineering or natural language processing, deep learning experience from previous internship, work experience, coding competitions, or publications. High levels of creativity and quick problem-solving capabilities.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $42.75- $57.75.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About UsFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.Why Join ByteDanceInspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.Reasonable AccommodationByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (Search-TikTok Recommendation) - 2025 Summer (BS/MS)
+848,2025-04-05,Santa Clara,California,Plus,https://www.plus.ai,"Plus is a global AI-first autonomous trucking software company delivering safe autonomous trucks at scale. Headquartered in Silicon Valley with operations in the United States and Europe, Plus is named by Fast Company as one of the World's Most Innovative Companies. 
+
+Partners including Bosch, DSV, Hyundai Motor Company, Iveco Group, and Scania/MAN/International of the TRATON GROUP are working with Plus to accelerate the deployment of next-generation factory-built autonomous trucks. ","We are seeking a Software Engineer Intern to join our team and contribute to the development of externally shareable metrics dashboards. This project aims to replace our current dashboard system with a more suitable solution that can facilitate the sharing of dashboards with our customers. The intern will be responsible for various aspects of this project, including data processing, data synchronization, metrics calculation, frontend chart development, data security, and access control.Responsibilities:Data Processing and Synchronization: Assist in the processing and synchronization of data to ensure that the dashboards are up-to-date and accurate. Metrics Calculation: Develop or contribute to the development of metrics calculation algorithms to ensure that the dashboards provide meaningful insights. Frontend Chart Development: Develop and maintain frontend charts using modern web technologies to ensure the dashboards are visually appealing and user-friendly. Data Security and Access Control: Implement and maintain data security measures to ensure that the dashboards are secure and that access is controlled appropriately. Collaboration and Communication: Work closely with the team and stakeholders to ensure clear communication and smooth project execution. Required Skills:MS or PhD student in Computer Science, Data Science, or a related field. Demonstrated experience in software development, preferably in a web environment. Proficiency in programming languages such as Python or JavaScript. Knowledge of data visualization tools (e.g., Superset, Tableau, or other similar platforms). Familiarity with web development frameworks (e.g., React, Angular, or Vue.js ). Understanding of data security and access control principles. Strong problem-solving and analytical skills. Excellent communication and teamwork skills. Ability to work independently and as part of a team. $19 - $65 an hourOur internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.",Internship,Software Engineer Intern - Data
+849,2025-04-04,Wimbledon,London,Harnham,http://www.harnham.com,"Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com 
+
+Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. 
+
+Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.
+
+Our five core services:
+
+* ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a 
+
+* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
+
+* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
+
+* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
+
+* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.","MACHINE LEARNING ENGINEER NYC | HYBRID (3 DAYS ONSITE) $180,000 - $220,000 + EQUITYTHE COMPANY My client is an AI-powered cloud finance optimization platform, helping businesses cut cloud costs through automated rate optimization and AI-driven financial tools. Founded in 2023 and headquartered in NYC’s West Village, they operate on a flexible hybrid model.THE ROLE As the first dedicated ML Engineer, you’ll take ownership of model development and deployment across forecasting, anomaly detection, financial risk modeling, and LLM-based applications. This is a hands-on role working closely with backend engineers to integrate ML solutions into production.RESPONSIBILITIESBuild and optimize ML models for cost forecasting, anomaly detection, and financial risk modelingDevelop LLM-based applications for internal and customer-facing toolsDesign scalable data architectures to support AI/ML workflowsMaintain and improve cloud-based ML infrastructure (AWS, Terraform)REQUIREMENTSStrong Python skills (ML & data science libraries)Experience with AWS, Terraform, SQL, and ML frameworks (PyTorch, Hugging Face, LangChain, Llama)Solid software engineering background with data engineering experience4-5+ years in ML/AI/data engineering, ideally with a background in CS, Physics, or MathHands-on experience beyond model building—data pipelines, integration, and deploymentPREFERREDAWS certifications, GCP experience, C++, DevOps knowledgeExperience setting up data lakehousesHOW TO APPLYRegister your interest through the apply link or reach out to Jack Wolf directly",Mid-Senior level,Machine Learning Engineer
+850,2025-04-03,San Francisco,California,Notion,https://notion.com,"Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes? With Notion, they're all in one place, and totally customizable to meet the needs of any workflow. It's the all-in-one workspace for you, your team, and your whole company. 
+
+We humans are toolmakers by nature, but most of us can't build or modify the software we use every day — arguably our most powerful tool. Our team at Notion is on a mission to make it possible for everyone to shape the tools that shape their lives.","About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.We've been working on this together since 2016, and have customers like Nike, Airbnb, Slack, Samsung and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.About The RoleMobile devices have reshaped personal computing—the power of a desktop now fits in our pockets. By giving everyone the building blocks to create their own tools, we'll solve more problems wherever we go. A delightful, intuitive mobile experience: that's our guiding light, and we need iOS engineers to make it a reality.What You'll AchieveYou'll work with the team to build new product features for our iOS app. This might include a better mobile typing experience.You'll improve the performance, reliability, and polish of our iOS app. This might involve rewriting a cache system to decrease startup time.You'll help build and improve internal tools with simplicity and productivity in mind. For example, you might write a script that makes it easier to deploy new versions of our apps.Skills You'll Need To BringThoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.Ability to ship quality apps at scale: You can work with a team to build and maintain quality iOS apps for a large audience. You're familiar with Swift or Objective-C and have handled UI, networking, and threading in those languages.Pragmatic and business-oriented: You care about the business impact of what you're building, and you prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line.Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.Team player: You understand when work is better, together. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.Nice To HavesYou've built or maintained apps for Android, using Kotlin or Java.You're proficient with other parts of our technology stack: React, TypeScript, Node.js, and Postgres.You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.You have interests outside of technology, such as in art, history, or social sciences.Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.",Not Applicable,"Software Engineer, iOS"
+851,2025-04-08,Boise,Idaho,Micron Technology,http://www.micron.com,"Micron is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence (AI) and compute-intensive applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more about Micron Technology, Inc. (Nasdaq: MU), visit micron.com.","Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious Machine Learning Engineer. Are you curious, high velocity, and ready to solve complex problems? Do you dream in data science and machine learning models? If so, we want you to join us! Our mission is to enable to deliver industry-winning machine learning solutions to power Micron’s dominance in the highly competitive memory solutions market.Qualified applicants for the Machine Learning Engineer role will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable pipelines to execute machine learning models. You will collaborate with Data Scientists, ML Engineers, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron’s manufacturing processes and systems. Responsibilities Include, But Not Limited ToData Analysis and ModelingAnalyze existing Micron data sets to identify patterns, trends, and insights that can enhance machine learning model development.Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality.Build knowledge by keeping up with latest advancements in machine learning and artificial intelligence (AI), integrating new techniques and technologies into our MLOPS development process.Data infrastructureBuild and maintain Data/Solution Pipeline Engineering to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models.Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models.Design and optimize data structures in data management systems (Cloud platforms - Snowflake, GCP, Azure) to enable AI/ML solutions. Model Deployment and MonitoringBuild custom software components and analytics applications. Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment.Implement strategies for deploying machine learning models into production environments.Responsible for selecting best model to meet both model performance and minimize compute costs.Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement.Generative AI Integration Strategy:Collaborate with the Product and Engineering teams to identify opportunities for integrating machine learning and Generative artificial intelligence capabilities into Project solutions/platform.Collaborate with the Product team to design a Tactical roadmap for the adoption of machine learning technologies, paradigms & frameworks following organizations best practices.CommunicationOutstanding analytical thinking, interpersonal, oral, and writtenAbility to prioritize and meet critical project timelines in a fast-paced environment.Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and accessible manner.Minimum QualificationsMaster's degree in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning.2+ years of experience in building and executing end-to-end ML systems automating training, testing, and deploying Machine Learning models in cloud platforms.2+ years of experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)2+ years of strong working knowledge of databases (Oracle, MSSQL, Snowflake, or BigQuery)2+ years building scalable ETL pipelines with big data processing and/or developing applications and data sources using (Airflow/Kubeflow/Dataflow)Strong programming skills in one of the following, Python or JavaExperience with continuous integration/continuous delivery (CI/CD) using tools (Jenkins, Git, Docker, Kubernetes, and containerization)Experience developing Machine Learning or Artifical Intelligence solutions with either PythonExperience in cloud platform technologies in either of GCP ,AWS, AZURESolid understanding of prediction (regression) and classification algorithms and familiarity with deep learning, reinforcement learning and generative AI.Understanding of Prompt Engineering, NLP, RAG Fine-Tuning using one or more of Langchain, DsPy, Semantic Kernel, Tensorflow, and Pytorch.Preferred QualificationsPhD in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning.Familiarity with Data architecture (data structures, data schemas, etc.).Deep knowledge of math, probability, statistics, and algorithmsDemonstrated ability to study and transform data science prototypes into production solutions.Knowledge of computer vision and/or signal processing including techniques for classification and feature extractionAs a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.To learn about your right to work click here.To learn more about Micron, please visit micron.com/careersFor US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.",Mid-Senior level,MACHINE LEARNING ENGINEER
+852,2025-03-27,Los Angeles ,,Paramount+,https://www.paramount.com/brand/paramount-plus,"Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world’s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming’s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.","Overview and Responsibilities:Paramount is looking for a Senior Machine Learning Engineer to join the team! The ideal candidate will be curious about applying machine learning! This includes deep learning sequence models, LLMs & reinforcement learning, and applying it to existing products and services to improve their efficiency and the overall user experience across our digital properties. In this role, you will apply datasets like traffic/video/consumption, purchase/subscription, and third-party sources to model, analyze, and predict user behavior. You will also take ownership of machine learning products from conception through delivery and monitoring.Responsibilities: Craft and develop highly scalable and reliable machine learning solutions to improve user experience Overcome engineering challenges with deploying machine learning solutions at scale Investigate new ways machine learning can improve products and determine viability of solutions Keep up with machine learning research and commercial product offerings across a wide variety of machine learning fields including NLP, recommendations, image and video Participate in design and code reviews Effective communication is important as this is a distributed team Pioneer new product ideas for how machine learning can improve products and take ownership from inception through implementation Deliver recommendations across Paramount and PlutoTV platforms that serve millions of customers daily Work on innovative online inference solutions applying machine learning to both video and personalization presentations Curate our content platform to craft and develop sophisticated products to collect, transform and enrich data in a fast, scalable and reliable way for ourselves and our customersBasic Qualifications: 2+ years experience bringing machine learning software products to production Lead on design and optimization of Online inferencing and developer experience MA/MS in Statistics/Data Science/Computer Science or related quantitative subject areas with specialization in data mining or machine learning techniques Knowledge of both supervised and unsupervised machine learning techniques in major types of approaches that they should be familiar with LTR (Learning to rank), Transformer Architectures, Sequences models for offline and online inference Have full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products Kubernetes - must know basics, APIs - good working knowledge, Message Queues (PubSub) - good working knowledge, and distributed processing like Ray and large DBs like BigQuery Proficiency in Python and associated machine learning packages is a must Python, Tensorflow and/or PyTorch, (tensorflow preferred), experience with a Python web framework (Django/Flask) is preferred TFServing, TF Servables or TorchServe experience SQL skillsAdditional Qualifications: Go or Java experience Communicate concisely and persuasively with engineers and product managers Experience with Tensorflow Extended (TFX), KubeFlow and related tools Experience using project management tools like those from Atlassian (JIRA, Confluence) Familiarity with version control systems (Git and Bitbucket) Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs) Background in Deep Learning for personalization is a plus Familiarity with Kubernetes and cloud deployments Experience with elasticsearch Desire to contribute to the open-source community (i.e., blogs, source code, etc)Join the Paramount Streaming Talent Community! Get the inside scoop on life at Paramount Streaming and about career opportunities.Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world’s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming’s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.Paramount is an equal opportunity employer (EOE) including disability/vet.At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.",Mid-Senior level,Senior Machine Learning Engineer
+853,2025-04-04,London,London,Google DeepMind,https://www.deepmind.google,"We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
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+Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). 
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+Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.
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+We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.","SnapshotAre you an experienced Applied Data Scientist (3+ years of experience) excited to use strong technical and analytical skills to power our mission to bring the benefits of AI to the world?Join Google DeepMind’s Core Analytics Team! Working closely with our Generative AI/Gemini org, you will bring a data lens to strategic business problems around compute and infrastructure strategy, directly enabling our frontier research and product development efforts.This role focuses on leveraging data science techniques – particularly advanced SQL, Python for analysis, and statistical methods – to drive strategic decisions and generate insights, rather than deep machine learning model development.About UsGoogle DeepMind: Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.Core Analytics Team: The Core Analytics Team (CAT) are a full stack data science team that organise, model, and deploy data to guide Google DeepMind strategy & decisions, blending our technical skillset with rich stakeholder relationships to deliver impact.The roleWe are looking for an experienced Applied Data Scientist who is skilled at and motivated by translating ambiguous business problems into structured, data-driven analyses that drive organisational decisions and change. This role will specialise in the area of compute management, exploring areas like the efficiency of our accelerators and infrastructure, cost optimization, and capacity planning.You will be embedded within the problem domain, working closely with GenAI/Gemini technical program managers, engineers, and leadership to understand their challenges, formulate key questions, and deliver timely insights.Key responsibilitiesStrategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact analytical questions related to compute and infrastructure strategy.Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights, model trends, and answer complex questions about efficiency, usage patterns, and strategic investments.Data Storytelling & Communication: Translate complex analytical findings into clear, compelling narratives and actionable recommendations for diverse audiences (technical and non-technical) through presentations, reports, and dashboards.Enablement & Monitoring: Develop and maintain tools (dashboards, reports) to provide ongoing visibility into key compute metrics and empower stakeholders with self-service analytics where appropriate.Identify Data Needs: Collaborate with engineering and product teams to highlight data gaps and advocate for the collection of telemetry needed to improve future analyses and decision-making.Team Contribution: Share knowledge, contribute to the team's analytical roadmap, and help improve our overall processes and best practices.What We Can Offer You:Direct Strategic Impact: Your analysis and recommendations will directly inform critical decisions about Google DeepMind's compute resources and infrastructure investments, influencing our ability to achieve our mission.Deep Domain Expertise: Opportunity to become a subject matter expert in the rapidly evolving and critical domain of AI compute and infrastructure.Leadership Exposure: Work closely with senior leaders and key decision-makers, honing your communication and influencing skills.Collaborative Environment: Be part of a supportive and highly skilled data & analytics group, learning from peers and contributing to a culture of analytical excellence.About YouWe're looking for an experienced data professional (3+ years of experience as a e.g. Data Scientist, Data Analyst, Quantitative Analyst, Product Data Scientist) with a proven ability to translate complex business or operational challenges into impactful data-driven solutions and strategic recommendations. You thrive on diving deep into data, excel at communicating insights clearly, and are motivated by seeing your analytical insights, developed through close collaboration with partners, directly influence critical decisions.Essential Skills:Analytical Problem Solving: Proven ability to understand ambiguous problems, formulate key questions, and design/execute appropriate analytical approaches.Advanced SQL for Analysis: High proficiency in using SQL to extract, manipulate, aggregate, and analyze complex datasets from various sources to answer business questionsStakeholder Management & Communication: Strong track record of building relationships, collaborating effectively, and presenting complex findings and recommendations clearly and persuasively to diverse audiences, including senior leadership. Experience in ""data storytelling.""Applied Statistics/Quantitative Skills: Solid understanding and practical application of statistical concepts for analysis (e.g., hypothesis testing, regression, forecasting).Delivery & Execution: Ability to manage multiple analytical projects simultaneously, prioritise effectively, and deliver high-quality insights in a dynamic environment. You are comfortable working independently and taking ownership.Useful Skills:Domain Interest/Experience: Experience with or a strong interest in cloud compute metrics, large-scale infrastructure, hardware accelerators (GPUs/TPUs), or related technical domains.Python for Data Analysis: Proficiency in Python and common data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Matplotlib/Seaborn).Data Visualization/Dashboarding: Experience creating effective dashboards and visualizations using tools like Tableau, Looker, Google Data Studio, or similar.Analytics Engineering: Experience designing and implementing ELT workflows (using tools like dagster, dbt)Coaching/Mentoring: Experience mentoring others in analytical techniques or tools.If you don’t think you embody all of the above criteria, please still seriously consider applying! This role (and therefore the requirements) is broad, and we’d be excited to discuss how you see yourself contributing across it.The US base salary range for this full-time position is between $122,000 - $186,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.Application deadline: Sunday 18th April, 2025Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.",Associate,Applied Data Scientist – Compute & Experimentation
+854,2025-04-04,Foothill Ranch,California,"Gatekeeper Systems, Inc.",http://www.gatekeepersystems.com,"Gatekeeper Systems’ expanded product suite of intelligent cart solutions offers solutions for EVERY retailer’s needs to minimize merchandise loss and reduce asset and labor expenditures.
+Gatekeeper’s loss prevention and cart containment solutions utilize patented locking technology to put an end to cart-based shoplifting, shopping cart loss, and uninformed decision-making. Cart management solutions increase safety and reduce labor costs by maximizing productivity while simultaneously resulting in a positive store image.
+Intelligent pushout theft prevention solutions stop thieves and their cart full of unpaid merchandise from leaving the store. Customizable technology allows retailers to defend their entire store or just a high loss department based on the store’s unique layout.
+Business Intelligence solutions provide increased visibility for informed decision making. Increase efficiency, optimize fleet size, and perfect the entire customer shopping experience with store and enterprise-level analytics.
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+Contact 888.808.9433 or info@gatekeepersystems.com to learn more.
+","Gatekeeper Systems  stands proudly as the foremost global leader in retail loss prevention, operations management, and analytics, with our headquarters based in Foothill Ranch, California. We maintain a strong presence across the globe, with offices in the UK, Australia, China, Hong Kong, Germany, France, and Canada, fostering a diverse team of 450 talented employees. Over the past 25 years, Gatekeeper Systems has been at the forefront of the industry, demonstrating our commitment to excellence through cutting-edge technologies and unparalleled customer service.Join us on our journey as we continue to revolutionize the retail sector, providing innovative solutions and services that redefine industry standards. POSITION SUMMARY: We are looking for a highly skilled Machine Learning and Artificial Intelligence Engineer to design, develop, and implement AI-driven solutions that enhance our products and services in the Retail Theft Prevention domain. The ideal candidate should have a strong background in machine learning, with expertise in both supervised and unsupervised methodologies. A solid understanding of traditional machine learning techniques such as decision trees and SVNs, as well as deep learning approaches, is highly preferred.A key advantage would be the ability to optimize machine learning models for efficient deployment on edge devices, ensuring performance and scalability in real-world environments. Additionally, experience in data transformation and preprocessing is desirable, particularly the ability to structure and adapt data for seamless integration with machine learning models.This role offers the opportunity to work on cutting-edge AI solutions that drive innovation in computer vision, anomaly detection, and predictive analytics within the retail security landscape.What We Offer…Join the team at Gatekeeper Systems and watch your career grow! We offer competitive compensation and benefits packages that include: Attractive Total Compensation Package, including annual bonus  Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options.  401(k) Plan with Employer Match  Generous Paid Time Off (PTO) policy  Observance of 11 paid company holidays  Various Employee Engagement Events  Exciting Growth Opportunities  Positive Company Culture  ESSENTIAL JOB FUNCTIONS; but not limited to:  Design and implement real-time object detection, tracking, and classification solutions using machine learning and computer vision techniques.  Optimize models for real-time processing on various platforms, including edge devices, cloud-based systems, and embedded hardware, ensuring low-latency performance.  Develop and manage end-to-end machine learning pipelines to automate and optimize data curation, preprocessing, and model training workflows.  Implement automation tools and monitoring frameworks to track model performance, detect anomalies, and streamline updates.  Design, develop, and deploy unsupervised machine learning models to identify anomalies and irregular patterns in system operations, data streams, or user behavior  Design and implement models to detect, diagnose, and resolve system issues. Qualification RequirementsThe requirements listed below are representative of the knowledge, skill and/or ability required. Strong knowledge of algorithm development and data structures.  Proficiency in TensorFlow Lite and model quantization.  Ability to thrive in a fast-paced environment and handle complex, evolving requirements.  Track record of innovative problem-solving and a willingness to explore unconventional approaches.  Exemplifies professionalism in all aspects of day-to-day duties and responsibilities.  Self-aware and open to learning about personal effectiveness in the workplace.  Exhibits a positive attitude toward the vision, policies, and goals of Gatekeeper Systems.  Constantly strives to improve performance and effectiveness of the team and the company. Education And/Or Experience Master’s degree (preferred) in CS, CE, ML or related field experience  3+ years of building models for edge deployment for camera-based object detection and classification  Experience programming in Python (preferred) or C/C++  Experience with deep learning frameworks like PyTorch or TensorFlow.  Experience working with MobileNetV2 and YOLOv8 models.  Experience with Google Cloud Platform and cloud-based AI workflows.  PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Repetitive motions and routine use of standard office equipment such as computers, telephones, copiers/scanners and filing cabinets.  Ability to see, speak, walk, hear, stand, use of hand/fingers to handle or feel; climb stairs, stoop, carry/lifting up to 5O lbs.  Ability to sit at a desk.  Specific vision abilities required include close vision, color vision, peripheral visions, depth perception and the ability to adjust focus.  DISCLAIMER This Job Description is a general overview of the requirements for the position. It is not designed to contain, nor should it be interpreted as being all inclusive of every task which may be assigned or required. It is subject to change, in alignment with company/department needs and priorities. Gatekeeper Systems, Inc., is an equal opportunity employer. We are committed to developing a diverse workforce and cultivating an inclusive environment. We value diversity and believe that we are strengthened by the differences in our experiences, thinking, culture, and background. We strongly encourage applications from candidates who demonstrate that they can contribute to this goal. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any protected basis.",Mid-Senior level,Machine Learning & AI Engineer
+855,2025-04-09,Alexandria,VA,"Modern Technology Solutions, Inc. (MTSI)",http://www.mtsi-va.com,"Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and technology solutions company delivering first-choice capabilities to solve problems of global importance in the critical mission areas of missile defense, cyber security, intelligence, unmanned/autonomous systems, aviation, space, and homeland security.  
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+The MTSI mission is to make important and lasting contributions to the nation's defense and security by providing leadership and best- value solutions to solve America's most technically challenging strategic problems. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide. 
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+For more information about MTSI, please visit www.mtsi-va.com.
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+For current MTSI job openings, please visit www.mtsi-va.com/careers.","Own Your Future.  Modern Technology Solutions, Inc. (MTSI), is seeking a AI / ML Data Scientist to lead modeling, simulation, and analytical efforts related to kinetic weapon system concepts in Huntsville, Alabama. Why is MTSI known as a Great Place to Work?Interesting Work:  Our co-workers support some of the most important and critical programs to our national defense and security.  Values: Our first core value is that employees come first.  We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry. 100% Employee Ownership: we have a stake in each other's success, and the success of our customers.  It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year.  Great Benefits - Most Full-Time Staff Are Eligible for: Starting PTO accrual of 20 days PTO/year + 10 holidays/yearFlexible schedules6% 401k match with immediate vestingSemi-annual bonus eligibility (July and December)Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement accountUp to $10,000 in annual tuition reimbursementOther company funded benefits, like life and disability insuranceOptional zero deductible Blue Cross/Blue Shield health insurance planTrack Record of Success:  We have grown every year since our founding in 1993Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.  MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide. For more information about MTSI, please visit www.mtsi-va.com. Job DescriptionWe are seeking a highly motivated and experienced AI/ML Engineer Scientist to join our team in Colorado Springs, working with the Missile Defense Agency.  The ideal candidate will have a strong background in artificial intelligence, machine learning, data analytics, and modeling and simulation.  They will be responsible for developing and implementing advanced AI/ML solutions to address complex defense challenges and contribute to the advancement of our products and services.  This role requires a combination of strong theoretical understanding, practical implementation skills, and a passion for innovation.Responsibilities:Architect, design, and implement scalable AI/ML computing infrastructures, applications, and systems.Design, develop, and implement AI/ML algorithms and models for DoD applications such as command and control, situational awareness, machine autonomy, munitions guidance and targeting, image recognition, and electronic warfare.Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.Run machine learning tests and experiments, documenting findings and results.Conduct data analysis and feature engineering to prepare data for model training and evaluation.Build and maintain data pipelines for efficient data ingestion, processing, and storage.Develop and implement model evaluation metrics and monitor model performance.Evaluate and implement the latest advancements in AI/ML, data mining, and analytics, and explore new technologies and techniques.Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems and workflows.Document and communicate research findings, model development processes, and implementation details.Contribute to the development of internal tools and libraries to enhance the efficiency of the AI/ML team.Mentor junior team members and share knowledge and expertise.Participate in code reviews and ensure the quality and maintainability of the codebase. Qualifications:Master's degree or PhD in Physics, Computer Science, Statistics, Mathematics, or a related field.7 years of experience in developing and implementing AI/ML solutions in a professional setting.Strong foundation in programming (Python), machine learning algorithms, and relevant frameworks such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.Highly skilled in statistics, with the ability to assess, analyze, and organize large datasets.Experience with cloud computing platforms such as AWS, Azure, or GCP.Proficiency with data visualization tools and techniques.Solid understanding of statistical modeling, machine learning algorithms, and deep learning architectures.Experience with modeling and simulation techniques.Excellent problem-solving and analytical skills.Strong communication and collaboration abilities.Bonus Points:Demonstrable experience with AFSIM, including model development, integration, and analysis.Experience with MLOps and deploying models to production.Experience with big data technologies such as Spark and Hadoop.Contributions to open-source projects related to AI/ML.Publications in peer-reviewed conferences or journals. ",Mid-Senior level,AI/ML Data Scientist
+856,2025-04-01,Mountain View,California,Intuit,https://www.intuit.com/,"Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
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+We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations. ","OverviewJoin the Customer Data Platform (CDP) group as a Backend Software Engineer developing the core of customers insights for analytics, reports, GenAI and much more. If you love having stretch goals, real world challenges, and making customers incredibly happy whilst fostering your obsessive need for perfect code and user experience, this is the job for you.Join our innovative team to help build the next generation of awesome products andexperiences using cutting edge technology. You will collaborate with many teams in Intuit.We love engineers who lead the change, understanding the customers needs and delivering the most beautiful and intuitive applications.What you'll bring2+ years’ experience developing web applications at scaleExperience with:Large-volume data pipelinesWeb services (consuming or creating) with RESTBackend software development using Kotlin, Java Spring, or Spring-Boot to expose and consume RESTful web servicesUnit testing frameworks and mockingAt least one big data technologies e.g. kafka, flink, cassandra, redshift, bigqueryNoSQL and relational databasesKubernetes & DockerMicroservices architectureSelf-starter with a strong work ethic and a passion for problem-solvingA lead - not just technically skilled, but able to drive a project E2E and deliver it. Having a direct impact on the end-productSolid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiencesExperience working with cross-functional teams while maintaining effective working relationshipsBonus point:KotlinOpen SearchRed ShiftHow you will leadYou need to be self-motivated, proactive and a contributor of codeBe Agile, you will need to develop both BE and FE by the business needs and in high qualityAutomate processes, create tools, and build features that will improve everyone's experience with our data pipeline infrastructureBe able to read any code in an existing codebase and change itBuild and maintain strong cross-functional relationships /alignment with partners across the businessGathering functional requirements, developing technical specifications, and project and test planningAbility to work effectively in a fast paced, complex technical environment with high adaptability and flexibilityIdentify gaps and build a roadmap on how we can improve, keep a day one mindset.Communicates clearly and persuasively to all levels of employees, customers and managementWorking cross-functionally with various Intuit teams: Product Management, Experience Design, different product lines, or business units to drive forward results",Associate,Software Engineer 2
+857,2025-04-03,New York,New York,Flip,https://flipcx.com/,"Flip CX is a software company that offers an Alexa-like voice AI experience for businesses to optimize their phone channel for better customer service. 
+
+Flip CX is backed by Amazon Alexa, Ada, Simon, Attentive, Scop Venture Capital, Bullpen, and Forum Ventures.","REPORTING TO: Chief Technology OfficerLOCATION: NYC (Onsite M-F)Who The Flip Is Flip?Ever have a bad experience calling customer service? We're changing that!Flip replaces old customer service phone robots with a modern voice AI experience for over 200 of your favorite brands on the planet. We support companies within eCommerce and Transportation and have another vertical in incubator stages. Our software talks to millions of people weekly and has helped 200M+ callers so far.Our growth is inevitable as only 1% of companies have adopted this technology today and yet everyone agrees it is obvious. We aim to lead this change and focus on winning within our verticals, one at a time.Flip is a profitable, fast-growing and a well-funded 40-person startup. We are in-office, with spaces in NYC, LA, and the UK. Our team is the most important and best thing we've built.What You'll DoWe are looking for a few great product engineers (backend software engineers that love building products) to join us in creating the next generation of our over-the-phone voice assistant.At Flip, you'll create user experiences, features, and oversee whole segments of the Flip assistant. You'll also get into the data, listen to our customers, and help shape the direction of the product. We have a few excellent senior engineers already on the team, one of which will become your direct mentor!Who You Are, As An EngineerGood on the backend, especially with your Python experience - we're almost all backend here, because voice products have no GUI!Your engineering level: early mid-level up to 'nearing senior in a year or two'The product is what we're working on - not theoretical engineering perfection! :) You care about the customerWho You Are, As A PersonLooking to go all-in, learn a lot, and do the best work of your career (so far!)Put in the time, and put out work you're proud ofCommunicate well, and embrace ownership, speed, & occasional uncertaintyEager and willing to support your teammates - just like they will with you!BonusesKnow what it looks like to work at a startup, and have an entrepreneurial driveExperience building Voice products - but we can teach you this too :)Work onsite in our NYC office! Our NYC office has a blend of Product, Engineering, Customer Success and GTM More About UsWe're international, spanning the US, UK, and CanadaOur tech stack includes Python, MongoDB, AWS, Twilio, Datadog, Snowflake, and OmniWe are backed by ScOp Venture Capital, Bullpen Capital, and Forum Ventures, as well as founders & executives from Amazon Alexa, Ada, Attentive, and SimonComprehensive healthcare and unlimited vacation, including a mandatory half week for everyone over July 4, and a full week off at the end of the yearOur customers span the globe, and so do our offices. Flip is committed to providing equal employment opportunities for all employees, applicants, and covered individuals regardless of protected characteristics. We want our company to be as diverse and inclusive as our customers.",Entry level,Software Engineer
+858,2025-04-03,San Francisco,California,Arable,http://www.arable.com,"Arable is leading the global advancement of sustainable agriculture by transforming agronomic decision-making through cutting-edge technology. Forward-thinking organizations in over 50 countries rely on Arable to help them be more productive and sustainable.
+
+The company’s intuitive solution integrates state-of-the-art IoT technology, machine learning, and advanced modeling to convert in-field weather, crop, soil, and irrigation data into real-time, actionable insights. Users are empowered to make informed, proactive decisions that reduce risk and optimize agricultural practices.
+
+Focused on shaping the industry's future, Arable powers transformative initiatives such as large-scale irrigation optimization that conserve hundreds of millions of gallons of water, and agricultural weather intelligence networks supporting thousands of underserved smallholder farmers.
+
+Arable is venture-backed by Galvanize Climate Solutions, Qualcomm Ventures, Prelude, S2G, Ajax Strategies, Grupo Jacto, Middleland, M2O, and iSelect.
+
+For more information, visit www.arable.com.","Come work alongside some of the most talented minds in the agtech industry. We are a team of innovators who are accelerating the digitization and sustainability of our planet’s food system. At Arable, you will have the unique opportunity to build something meaningful with an amazing group of people who care about each other and their work.What we do:At Arable, our goal is to connect all the world’s farms to help optimize the global food system. This is an ambitious goal, but the need has never been greater to rethink how we will feed an ever-growing population and reduce our impact on natural resources. We believe the heart of the solution is digitizing the analog world with high-fidelity data to help food producers optimize their operations. We hope the impact of our work will improve the lives of farmers everywhere and be a major contribution to securing the global food supply for decades to come.A few examples of the work we’re doing today:Helping farmers in India and Mozambique adapt to the effects of climate change on their farms with novel data-driven crop insuranceGiving produce growers in California the tools to optimize production and minimize wasteHelping irrigated farms in Nebraska manage water more efficiently and sustainably to protect our water supplyWhat We're Looking For:Arable Labs seeks an experienced and insightful Principal Data Scientist to join our mission-driven team, reporting to the Head of Data Science. Our work leverages unique, high-fidelity field data to provide critical insights for global agriculture and environmental monitoring. In this key role, you will apply your deep expertise in machine learning, statistical modeling, and software engineering to solve complex challenges in agricultural water management. You will lead the development of core predictive models, drive innovation through applied research, and see your work contribute directly to farm sustainability and resource efficiency, often supported by broader corporate environmental initiatives. We need a hands-on technical leader passionate about tackling meaningful problems and translating data into real-world impact.Where You'll Make an Impact:Significantly improve models that help farmers optimize irrigation, conserve water, and understand field conditions (e.g., rainfall, evapotranspiration, water balance)Advance Arable's predictive capabilities through the application of novel ML techniques and sensor data analysisContribute directly to tools supporting climate resilience and sustainable practices in agricultureWhat You Will Do:Lead End-to-End Model Development: Drive the full lifecycle of core machine learning models – from research, prototyping, and validation to deployment (Python, Docker, Flask, AWS/SageMaker) and ongoing performance monitoring and improvement. Key areas include water balance, ET, rainfall, and irrigation insightsConduct Applied Research & Innovation: Identify opportunities and execute applied R&D projects to enhance model accuracy, leverage new data sources (internal sensor streams, external weather data), and develop novel predictive features, balancing exploration with pragmatic deliveryCollaborate for Impact: Work closely with cross-functional teams – Product (defining requirements, translating features), Sensors/IoT (understanding data, calibration and validation), and Software (API integration, production pipelines) – to ensure data science solutions effectively meet business and user needsEnsure Solution Quality & Provide Expertise: Uphold high standards for model performance and data integrity through rigorous validation, anomaly detection, and addressing operational analytical needs. Serve as a subject matter expert in your domain areas and contribute to the team's technical strategy and best practices, potentially mentoring junior membersRequired Experience and Skills:MS or PhD in a quantitative field or equivalent deep practical experience5-8+ years relevant hands-on experience developing & deploying ML/DS solutionsML & Statistical Depth: Strong theoretical understanding and practical expertise in machine learning (especially time-series), statistical modeling, and validation techniquesR&D Acumen: Demonstrated ability to conduct applied research, tackle ambiguous problems, and deliver impactful, data-driven solutionsTechnical Implementation: Proficiency in Python for data science (NumPy, pandas, scikit-learn, etc.), strong software engineering practices (Git, testing, docs), and experience deploying models via APIs (Flask) using containers (Docker) on cloud platforms (AWS)Communication & Collaboration: Excellent ability to communicate complex concepts clearly and collaborate effectively within a cross-functional environmentPreferred Experience and Skills:Domain Knowledge: Background or strong interest in agriculture, hydrology, meteorology, soil science, or related environmental sciencesSensor Data & Techniques: Experience with real-world IoT sensor data (including CalVal), anomaly detection, and leveraging external datasets (weather, geospatial)Startup Environment: Proven ability to thrive and take ownership in a fast-paced, dynamic startup settingAWS ML Ecosystem: Deep familiarity with AWS services, particularly SageMakerMentoring: Experience guiding or mentoring other technical team membersLocation: United States based; SF Bay Area preferred, but remote US is possible.What we offer:At Arable, you will be joining a company of dedicated team players who bring together diverse expertise and a passion for building a more sustainable future. We are a fast-moving startup committed to providing a rewarding employee experience through the work we do, the team, compensation, and benefits, including:Excellent medical, dental, vision, and a 401k programFlexible PTOA focus on community involvement and career developmentBeing a part of creating innovative new products that have a positive impact on the worldAt Arable, we don't just accept difference—we celebrate and support it. Not only because it's the right thing to do but because we draw on the differences in who we are, what we've experienced, and how we think to make Arable thrive. Arable is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, gender expression, protected veteran status, and any other characteristic protected under applicable State or Federal laws and regulations.",Not Applicable,Principal Data Scientist
+859,2025-03-19,New York,,Rokt,http://www.rokt.com/,"Rokt is the global leader in ecommerce, unlocking real-time relevancy in the moment that matters most. The company's AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world’s leading companies, including Live Nation, Macy’s, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh. mParticle by Rokt is the central nervous system providing real-time data activation to unlock value across ecommerce, advertising and customer engagement. Rokt has achieved consistent annual growth of more than 40% across the past decade, driven by its unique partnership model that returns $7 from every $8 of value back to partners. Rokt is headquartered in New York City. The company has offices in 10 global locations and serves clients throughout North America, Europe, and Asia-Pacific, solidifying its position as a key player in the global ecommerce ecosystem. To learn more, visit Rokt.com.","We are Rokt, a hyper-growth ecommerce leader. We enable companies to increase value by unlocking real-time relevancy in the moment that matters most, when customers are buying. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world's leading companies. In January 2025, Rokt's valuation increased to $3.5 billion USD, allowing us to expand rapidly across 15 countries.The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt'stars constantly strive to raise the bar, pushing the envelope of what is possible.We are looking for a Senior Machine Learning EngineerTotal Compensation between: $375,000 - $514,000, which includes a fixed annual salary between $250,000-$315,000, employee equity plan grant & world class benefits.As a Senior Machine Learning Engineer, you have expertise in modeling, statistics, and programming. You will work with our engineering and product teams to design, build, and produce proprietary machine learning models to solve different business challenges, including user targeting and segmentation, dynamic Ads content generation, entity embeddings and recommendation models.About The RoleWork on a variety of Machine Learning projects in the Ads recommendation domain: user segmentation and targeting, user embeddings generation, Gen AI driven Ad content generation.Leverage the latest Generative AI techniques to dynamically create engaging Ad content and model features.Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions.Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc.Contribute and maintain the high quality of code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc.Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modeling ideas, and conduct offline and online experiments.Mentor other team members, facilitate within/across team workshops and lead the agile development.RequirementsAbout you:Bachelor's degree in Computer Science, a similar technical field of study or equivalent practical experience. A PhD degree in Machine Learning or Deep Learning is a plus.3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring. Industry Experience in applied ML in Ads is a plus.2+ years of industry experience in software engineering roles and development experience in Python, Golang, Java, and/or other programming languages.Concrete experience working with deep learning frameworks, either TensorFlow or Pytorch.Experience working on Generative AI initiatives.Strong understanding of software engineering best practicesBe motivated, self-driven in a fast (we truly mean fast) paced environment with a proven track record demonstrating impact across several teams and/or organizations.Ability to communicate and collaborate effectively with business stakeholders and manage tasks in a timely manner.At Rokt we encourage autonomy; teams have complete ownership of their systems including building, running and monitoring. As such, you may be required to be on-call and respond to systems alerts should they arise.Ideas, opinions, and the ability to share them through respectful proposals, presentations, and team-wide discussions, An eagerness to work and learn in the open and share your learnings with your teammates.BenefitsAbout Rokt'stars:As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better.About The BenefitsWe leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:Accelerate your career. We offer roadmaps to leadership and an annual $10,000 training allowanceBecome a shareholder. Every Rokt'star gets equity in the companyEnjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us! Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance for your entire family!Dog-friendly officeExtra leave (bonus annual leave, sabbatical leave etc.) Work with the greatest talent in townSee the world! We have offices in New York, Seattle, Sydney, Tokyo and LondonWe believe we're better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also get that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere.We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team.",Mid-Senior level,Senior Machine Learning Engineer
+860,2025-04-05,Biberach,,Liebherr Group,http://www.liebherr.com,"Established in 1949, the Liebherr Group today is not only one of the biggest construction equipment manufacturers in the world, but also offers high-quality, user-oriented products and services in many other areas. The family-run technology company employs nearly 50,000 people in over 150 companies worldwide.
+Liebherr’s product range includes the segments Earthmoving, Deep Foundation Machines, Mobile and Crawler Cranes, Tower Cranes, Concrete Technology, Material Handling Technology, Mining, Maritime Cranes, Aerospace and Transportation Systems, Gear Technology and Automation Systems, Refrigeration and Freezing, Components as well as Hotels in Ireland, Austria and Germany.
+The Group’s parent company is Liebherr-International AG located in Bulle, Switzerland, which is entirely owned by members of the Liebherr family. 
+Career possibilities can be found online: https://www.liebherr.com/en/deu/career/career.html
+
+Imprint:https://www.liebherr.com/en-de/group/disclaimer/imprint-3705178","The Machine Learning Engineer develops algorithms used to analyze and predict system / component health, machine performance, and application metrics for large mining haul trucks.ResponsibilitiesDevelops real time and post processing algorithms used to analyze machine data for failure prediction of electrical and mechanical equipment used on large mining haul trucks.Develops algorithms used to analyze machine performance, efficiency, and application metrics.Creates documentation to describe algorithm design.Interfaces with other groups (Mechanical, Electrical, Software, Hydraulic, etc.) to create specifications that outline algorithm functions.Evaluates alternative Machine Learning tools and models.Works independently and as a team member with other engineers, designers, and production personnel or on ad hoc projects.Participates in Engineering Development Program.CompetenciesEducation and Experience: A Master of Science Degree or Master of Engineering Degree (M.S. / M.E. in Computer Science, Computer Engineering or similar) is preferred, or a Bachelor of Science Degree (B.S. in ComputerScience, Computer Engineering or similar).Ability to apply various techniques such as linear regression, classification, random forest, neural networks and other techniques to derive algorithms.Knowledge of a broad set of algorithms and applied mathematical techniques.Knowledge of probability and statistics.Knowledge of Big Data techniques and tools.Knowledge of high-level software languages (e.g. Java, C/C++, etc.).Knowledge of scripting languages (e.g. MATLAB, Python, Bash, etc.).Knowledge of unit testing and software validation techniques.Knowledge of source control systems (e.g. Git, Subversion).Ability to work with software configuration management processes and workflows preferred but not required.Knowledge of software development standards/guidelines (e.g. CMMI) preferred but not required.Knowledge of heavy machinery or automotive preferred.Ability to write specifications that describe software function.Ability to read and interpret documents such as safety rules, operating and maintenance manuals, and procedure manuals, software specifications.Knowledge of Agile and Waterfall software development lifecycles and V-model methodology and their required workflows and tools.Is expected to travel nationally and internationally up to 20% to customer sites, supplier sites, or regional proving grounds.Ability to complete and maintain mine certifications or safety training such as Mine Safety and Health Administration (MSHA) hazard training.Ability to obtain and maintain driver’s license and passport.Our OfferAn interesting and ambitious role in a successful international company. We offer a secure work environment with a comprehensive benefits package that includes major medical, dental and vision insurance, 401K plan with company match, paid vacation and personal days and competitive salary.Referral Bonus: Tier IHave we awoken your interest? Then we look forward to receiving your online application. If you have any questions, please contact Thomas Steele.Liebherr-America, Inc. and its US affiliates are Equal Opportunity Employers. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.If you are a California resident, please visit  Liebherr USA, Co. Privacy Statement for more information regarding how Liebherr-America, Inc. and its US affiliates collect and process your personal information.One Passion. Many Opportunities.The companyIn line with its international growth, Liebherr’s venture into the United States began in 1970. Within a couple of years, the company expanded and completed its production facilities in Newport News, Virginia, for its product line of hydraulic excavators. It was later converted into Liebherr’s manufacturing facility for mining trucks and remains home to Liebherr Mining Equipment Newport News, Co. In addition to its production facility, Liebherr markets a wide variety of products and technologies its companies located across the United States. The companies are Liebherr-Aerospace Saline, Inc., Liebherr Gear Technology, Inc., Liebherr Automation Systems, Co., and Liebherr USA, Co., the umbrella company for eight divisions that are positioned across the United States.LocationLiebherr Mining Equipment Newport News Co.4100 Chestnut Avenue23607 Newport News, VAUnited States (US)ContactThomas Steeletrey.steele@liebherr.com",Entry level,Machine Learning Engineer
+861,2025-04-07,Philadelphia,PA,Children's Hospital of Philadelphia,http://www.chop.edu,"Since its start in 1855 as the nation's first hospital devoted exclusively to caring for children, The Children's Hospital of Philadelphia has been the birthplace for many dramatic firsts in pediatric medicine. The Hospital has fostered medical discoveries and innovations that have improved pediatric healthcare and saved countless children’s lives.
+
+Today, The Children's Hospital of Philadelphia is one of the leading pediatric hospitals and research facilities in the world. Our 150 years of innovation and service to our patients, their families and our community reflect an ongoing commitment to exceptional patient care, training new generations of pediatric healthcare providers and pioneering significant research initiatives.","SHIFT:Day (United States of America)Seeking Breakthrough MakersChildren’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation.At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career.CHOP’s Commitment to Diversity, Equity, and InclusionCHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children.We strongly encourage all candidates of diverse backgrounds and lived experiences to apply.A Brief OverviewThe Campbell Laboratory at the Children’s Hospital of Philadelphia is seeking a Machine Learning Engineer to help advance our mission to diagnose rare genetic diseases more quickly and accurately. We develop and train large language models (LLMs) to better understand clinical data from the electronic health record (EHR) and to identify ways to facilitate accurate, equitable diagnoses for every child—especially those from historically marginalized backgrounds.As a Machine Learning Engineer, you will work closely with data scientists, clinicians, and other researchers to design, implement, and scale state-of-the-art machine learning workflows. You will utilize our on-premises GPU/SLURM cluster and cloud-based TPU instances (Google Cloud) to train and deploy LLMs using Hugging Face Transformers, PyTorch, and JAX. This role combines robust software engineering practices with advanced machine learning and natural language processing (NLP) techniques, with a focus on reproducibility and high-quality code.Our innovative and interdisciplinary environment values diversity, fosters professional growth, and drives impactful research that benefits children worldwide. If you are passionate about building robust machine learning systems, enjoy working on high-impact problems, and thrive in a collaborative research environment, we encourage you to apply.What You Will Do Configure and utilize on-premises SLURM cluster with GPU resources to ensure efficient and reliable job scheduling for large-scale model training. Manage and optimize cloud-based infrastructures (e.g., TPU Pods on Google Cloud) for distributed model training and evaluation. Collaborate with data scientists to implement and fine-tune LLMs (e.g., Transformer architectures in PyTorch, TensorFlow, or JAX) for clinical and biomedical NLP tasks. Develop efficient training pipelines, including data loading, preprocessing, feature extraction, and model deployment. Evaluate model performance and optimize hyperparameters, GPU/TPU utilization, and distributed training strategies. Collaborate cross-functionally with clinicians, data scientists, analysts, and IT teams to support and enhance machine learning operations (MLOps). Work with relational databases (e.g., Snowflake, BigQuery, Oracle SQL, MySQL) and distributed storage systems to access and manage EHR data. Partner with data scientists and domain experts to design data pipelines that integrate with existing hospital systems. Write clean, well-documented, and maintainable code following best practices Contribute to shared code repositories using Git, ensuring reproducibility and version control for collaborative projects. Develop CI/CD workflows to automate model testing, containerization, and deployment to production environments. Monitor deployed models for performance drift, latency, and reliability, and implement automated alerts and feedback loops to refine model behavior. Produce clear technical documentation, including system architecture diagrams, training procedures, and user guides for internal stakeholders. Present engineering best practices, findings, and process updates to clinicians, researchers, and other non-technical audiences as needed.Education QualificationsBachelor's Degree RequiredBachelor's Degree Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field PreferredMasters or PhD in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field PreferredExperience QualificationsAt least three (3) years experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects. RequiredAt least four (4) years with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects PreferredAt least one year of experience with complex data science, applied statistics, machine learning, or mathematical modeling projects PreferredNatural language processing experience, particularly in the biological and medical domains PreferredExperience with transformer architecture and associated software (e.g., PyTorch, Tensorflow, JAX) is PreferredExperience using distributed computing technologies PreferredExperience with cloud virtual machine environments PreferredExperience implementing distributed training on GPUs or TPUs in cloud platforms (e.g., Google Cloud, AWS, Azure).Experience with prompt engineering, semantic search, or retrieval-augmented generation (RAG) in a research or production environment.Familiarity with MLOps pipelines (CI/CD, containerization, monitoring, and logging frameworks).Exposure to healthcare or biomedical data and associated privacy/security regulations (e.g., HIPAA) is a plus.Experience with advanced NLP techniques or LLMs in a research or production environment.Skills And AbilitiesProven software engineering experience, including structured development methods, testing, and version control.Hands-on experience with Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).Familiarity with relational databases (e.g., Snowflake, BigQuery, Oracle SQL, MySQL).Experience with Linux/Unix environments, shell scripting, and cluster computing systems (e.g., SLURM).To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more.Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed.EEO / VEVRAA Federal Contractor |  Tobacco Statement",Entry level,Machine Learning Engineer
+862,2025-04-04,Aldie,VA,"Bespoke Technologies, Inc.",http://www.bespoketechinc.com,"Bespoke Technologies, Inc. (Bespoke) is an Woman-Owned Small Business (WOSB) offering strategic bespoke solutions in data science, engineering, and mission operations in support of the Federal Government.
+
+Through our years of experience we have supported multiple agencies - each with different missions, unique technology platforms, and varying visions on what defines success. We recognize one size does not fit all. Through developing bespoke innovative solutions to our customers, Bespoke can help you uncover the right solutions for your toughest business challenges.","BT-51 – Data ScientistSkill Level: Subject Matter ExpertLocation: Herndon (fully on-site, no remote option)MUST HAVE A POLY CLEARANCE TO APPLY**Required SkillsDemonstrated minimum of 5 years of experience tracking budgetary funds.Demonstrated minimum of 5 years of experience with portfolio & resource management.Demonstrated experience successfully utilizing exceptional customer service working directly with business and technical customers to communicate organizational accomplishments, status and direction to stakeholders’ at all organizational levels.Demonstrated experience developing use cases that improve the ability to find information in a more timely fashion.Demonstrated experience in data analysis, requirements gathering, translations, and visualizing information in a clear way to explain the data at hand.Demonstrated experience developing and managing project schedules, utilizing MS Project to identify critical tasks, and EVM for overall project status.Demonstrated experience with resource allocation and optimizing resource assignments by identifying key resources and the right set of skill sets required for a project.Demonstrated experience developing Minimum Viable Increments (MVIs) based on requirements gathered.Demonstrated experience and background in Business/Financial areas.Demonstrated experience successfully utilizing written communication skills to produce publishable documents.Demonstrated experience working on both development and integration projects.Desired SkillsDemonstrated experience with Service Now.",Entry level,Data Scientist
+863,2025-03-31,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2875476",Not Applicable,"Machine Learning Engineer, AGIF"
+864,2025-03-30,Atlanta,Georgia,Document Crunch,https://www.documentcrunch.com,Document Crunch simplifies construction contracts by quickly identifying critical risk provisions and provides teams with guidance to make great decisions throughout the entire project lifecycle.,"Document Crunch is seeking a mid-level Software Engineer, AI to join our amazing, tight-knit team.We are looking for a Software Engineer, AI with expertise in Retrieval-Augmented Generation (RAG), AI/ML research, model training/fine-tuning, and ML service(s) integration. The ideal candidate will have a demonstrated history in machine learning, machine learning pipelines / infrastructure, natural language processing, prompt engineering, software engineering and some general devops / infrastructure. You will be responsible for researching, designing, developing, and deploying AI/ML services, and integrating them into our existing systems to enhance the functionality and efficiency of our products.What makes Document Crunch a great place to work? We’re cutting-edge innovators. We’re changing an industry. We’re making a real difference. Document Crunch builds AI-powered software tools for the built world. As the construction industry’s only document compliance platform, we simplify complex construction contracts and project documents, identifying critical risk provisions and providing teams with real-time guidance to make great decisions and comply with contractual obligations throughout the project lifecycle. We empower the industry, make it more efficient, reduce risks, and protect profits. Our company is people-focused and values-driven. We know that to achieve great things, you need a great team, and our “CRUNCHERS” go above and beyond in everything they do. In addition, everyone on our team stays true to our core values, a must if you’d like to become a Cruncher.We Are WarmheartedOur success is powered entirely by our people who are real and approachable. We foster an environment that is warm, fun and welcoming for everyone.We Are InspiredWe care deeply about our mission and are inspired by our potential. If it was easy, everybody would do it, but we are striving for greatness. We take pride in being owners in this journey.We Are Growth-MindedLife is short and we want to make our time count. We invest in growth—personally and professionally. We never stop chasing our why.Key ResponsibilitiesLead AI/ML Strategy and Implementation Understand and execute the company's AI/ML roadmap, aligning with business objectives Design, implement and deploy advanced RAG systems to enhance document understanding and analysis capabilities Lead the integration of cutting-edge AI/ML solutions into existing products and servicesWork closely with DevOps engineers and cross functional teams to integrate AI/ML solutions into existing workflows or be able to design and deploy new workflows as needed Advanced AI/ML Research and Development Spearhead research initiatives on state-of-the-art AI/ML algorithms and technologies Design and conduct experiments to solve challenging problems in document analysis and automation Work independently to ideate, research, prototype and experiment with novel RAG stack solutions ML Architecture and Systems Design Architect scalable, efficient, and maintainable ML systems and pipelines Optimize ML system integration performance and resource utilization Design and implement ML monitoring and observability systems Team Leadership and Mentorship Serve as an experienced source of ML knowledge to less experienced or non-technical cross functional team members Foster a culture of innovation, continuous learning, and best practices within the team Collaborate with cross-functional leaders to align AI initiatives with product and business strategies Continuous Improvement and Innovation Stay at the forefront of AI/ML advancements and industry trends Identify and evaluate new technologies and methodologies for potential adoption Drive the adoption of best practices in AI systems evaluation and benchmarking RequirementsSkills and QualificationsEducation Bachelor’s in Computer Science, Machine Learning, or a related field Technical SkillsProficiency in Python Strong understanding of NLP algorithms, including transformer architectures and large language models Extensive experience with RAG systems, knowledge graphs, vector databases, and semantic search technologies Advanced knowledge of cloud platforms (AWS, Azure, Google Cloud) and their ML services Expertise in LLM prompt engineering, fine-tuning, and evaluation ExperienceMultiple years of professional experience in AI/ML related engineering roles Proven track record of leading complex AI/ML projects from conception to production Extensive experience with model deployment, MLOps, and maintaining ML systems in production, or equivalent experience with ML systems integration at scale Demonstrated ability to translate business requirements into technical solutions Leadership And Soft SkillsStrong leadership and team management skills Excellent problem-solving and analytical abilities Outstanding communication skills, able to explain complex technical concepts to diverse audiences Proven ability to influence and drive decision-making across teams and departments Preferred QualificationsExperience in the construction or legal tech industry Contributions to open-source ML projects or research publications Experience in AI/ML research and development, with a focus on NLP and RAG at scale Hands-on experience leading the integration of ML models into production environments We are currently hiring in Austin, TX and Atlanta, GA. While we are a remote first workplace, we want Crunchers in these locations to better facilitate periodic in-person meetings, get-togethers and training.BenefitsCompetitive salary and benefits package.Close to the ground floor of an incredibly high-growth businessSubstantial internal growth opportunities and emphasis on personal & professional developmentGenerous paid time off policyWorld class medical, dental, and vision benefits401kParticipation in the employee stock option programOpen-minded and collaborative work environment with a focus on resultsWe value diversity, equity, and inclusion in everything we do. It is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, marital status, veteran status, age, disability, pregnancy, sex, sexual orientation, gender identity or any other legally protected category.",Entry level,"Software Engineer, AI"
+865,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.Job Responsibilities Build and design large-scale machine learning algorithms to model the real-time interests of creators to improve conversion efficiency Optimize TikTok's massive commodity relationship mining and ranking and recall of creators' product recommendations, and improve the overall GMV of the platform Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological developmentQualificationsMinimum Qualifications 2+ years of industry experience with a solid theoretical foundation in machine learning; Familiar with common algorithms such as matrix factorization, GBDT, LTR, Word2vec, DIN, Deep&Wide; Proficient in Python and C++ languagesPreferred Qualifications Proficiency in using any of the following open source tools: XGboost, TensorFlow, Caffe; Have excellent learning ability and good communication and cooperation spirit.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Recommendation, E-Commerce Alliance"
+866,2025-03-25,Laguna Hills,California,BrainChip,http://www.brainchipinc.com,"BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision and economy of energy. Keeping machine learning local to the chip, without the need to access the cloud, dramatically reduces latency while improving privacy and data security. In enabling effective edge compute to be universally deployable across real-world applications, such as connected cars, consumer electronics and industrial IoT, BrainChip is proving that on-chip AI close to the sensor is the future for customers’ products as well as the planet. Explore the benefits of EdgeFirst AI at www.brainchip.com. ","SUMMARY:The FAE/ML Engineer’s role is to work directly with BrainChip’s current and future customers as well as engage with Sales and Engineering members, to support current and future customers and help develop and create structured support models, manage programs and projects. These models are targeted to support and solve problems for computer vision (classification, object detection), audio processing (keyword spotting), sensor fusion, and anomaly detection. You must be able to communicate effectively at the engineering level with customers, understand their objectives and needs to develop and articulate solutions to address customers’ requirements.ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:Work with Sales and Engineering members, to support customers and help develop technical solutions for Brainchip’s Akida Neuromorphic RTL IP and Reference System-on-Chip (NSoC).Understand customer’s technical requirements & propose solutions and manage projects related to customer activity resolve any customer challenges.Be the customer’s trusted advisor and be the main interface between Customers and BrainChipUnderstand and present complex technical requirements, problems, and solutions concisely in verbal and written communications, Know and understand ASIC development process and experience in Synthesis, Place and Route.Will resolve customer issues with BrainChip’s software or hardware technology.Interact with customers by walking them through the installation process, instructing them on how to operate the technology, and resolving any compatibility issues.Collaborate with software and hardware development teams, as needed.QUALIFICATIONS:To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Education/Experience: 4+ years of experienceB.S. in Computer Science, Computer Engineering, or related technical field.Understanding of machine learning and deep learning experience using Python, Tensorflow, Pytorch and OnyxFirsthand experience with object classification, object detection, face recognition, keyword spotting a plusExperience with different deep learning models, CNN, RNN, Transformers, State Space ModelsExperience with Git version control systemStrong experience in at least one application field CPUs, Tools and methodologies and/or machine learningBroad understanding of Machine Learning, Deep Learning, CNN, and Neuromorphic ComputingOther Skills and Abilities:Strong verbal and written communication skillsStrong teamwork and interpersonal skills and analytical skillsDesire to be involved in a diverse and creative work environmentMust be a self-starter with mindset for growth and real passion for continuous learning.Language Skills:Ability to read and interpret documents, such as policies and procedures, routine mail, contracts and instruction manuals. Ability to compose routine reports and correspondence.Ability to effectively communicate with persons of various social, cultural, economic, and educational backgrounds.Reasoning Ability: Advanced ability to analyze information, problems, situations, practices or procedures. Advanced ability to analyze complex technical data using qualitative and quantitative sources of information to formulate logical and objective conclusions and to recognize alternatives and their implications. Ability to carry out instructions delivered in written, oral or in other daily situations that arise. Ability to deal with problems involving several concrete variables in standardized situations. Ability to make decisions and execute timely in order to produce a positive outcome.",Mid-Senior level,Senior Machine Learning Engineer
+867,2025-04-04,Nashville,TN,HCA Healthcare,http://www.hcahealthcare.com,"HCA Healthcare is dedicated to giving people a healthier tomorrow. 
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+As one of the nation’s leading providers of healthcare services, HCA Healthcare is comprised of 188 hospitals and 2,400+ sites of care in 20 states and the United Kingdom. In addition to hospitals, sites of care include surgery centers, freestanding ERs, urgent care centers, diagnostic and imaging centers, walk-in clinics and physician clinics.
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+Many things set HCA Healthcare apart from other healthcare organizations; however, at our core, our greatest strength is our people. Every day, more than 290,000 colleagues go to work with a collective focus: our patients. Our focus positively impacts the care experience at the bedside and beyond.
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+We are proud of the impact we have in our communities through employment, investment and charitable giving. 
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+HCA Healthcare is a learning health system that uses our approximately 37 million annual patient encounters to advance science, improve patient care and save lives. At HCA Healthcare, we are excited about the future of medicine. We believe we are uniquely positioned to play a leading role in the transformation of care.
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+Note: Be alert for fraudulent job postings, emails, and phone calls. HCA Healthcare will never send you money or ask you to send money during the interview or hiring process.","DescriptionIntroductionDo you want to join an organization that invests in you as a Senior Machine Learning Engineer? At Work from Home, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.BenefitsWork from Home, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.Free counseling services and resources for emotional, physical and financial wellbeing401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)Employee Stock Purchase Plan with 10% off HCA Healthcare stockFamily support through fertility and family building benefits with Progyny and adoption assistance.Referral services for child, elder and pet care, home and auto repair, event planning and moreConsumer discounts through Abenity and Consumer DiscountsRetirement readiness, rollover assistance services and preferred banking partnershipsEducation assistance (tuition, student loan, certification support, dependent scholarships)Colleague recognition programTime Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence)Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.Learn more about Employee BenefitsNote: Eligibility for benefits may vary by location.You contribute to our success. Every role has an impact on our patients’ lives and you have the opportunity to make a difference. We are looking for a dedicated Senior Machine Learning Engineer like you to be a part of our team.Job Summary and QualificationsDrives implementation of AI Platform capabilities within an embedded product team through hands-on development and technical expertise. Actively contributes to AI development while following platform standards and patterns, writing high-quality code, and providing practical feedback for platform improvement. Leverages platform solutions to solve team-specific MLOps challenges while balancing team-specific needs with organizational standards. Partners with both product and platform teams to ensure effective adoption of platform capabilities, accelerating AI delivery through consistent implementation patterns and engineering excellenceMajor Responsibilities:Actively contribute to AI/MLOps development within assigned product teamImplement platform capabilities and patterns effectivelyWrite high-quality, maintainable code following team standardsDevelop and maintain ML systems using platform capabilitiesImplement robust CI/CD pipelines for ML modelsEnsure proper testing and validation of ML systemsBalance team-specific needs with platform standardizationChampion platform adoption within a teamFollow and help refine platform patterns and best practicesIdentify opportunities for leveraging platform capabilitiesProvide feedback on platform features and usabilityHelp validate platform patterns through direct implementationShare knowledge and experiences with other MLEsContribute to platform documentation and examplesParticipate in code reviews with focus on platform patternsImplement and maintain ML pipelines using platform toolsDocument technical decisions and implementationsFollow established best practices and standardsContribute to technical discussions and design reviewsWork closely with product team to understand AI development needsProvide implementation feedback to platform teamParticipate in technical discussions and knowledge sharingHelp identify opportunities for platform improvementWhat qualifications you will need:Bachelor's degree - RequiredMaster's degree - Preferred5+ years of experience in software engineering with a focus on ML and AI System Engineering - RequiredExperience working in as an embedded engineer in a cross-function product team - PreferredOr equivalent combination of education and/or experienceKnowledge, Skills, Abilities, Behaviors:Strong technical background in ML engineering with demonstrated coding expertise - RequiredStrong Python development expertise with focus on ML systems and AI/MLOps - RequiredFamiliarity of ML workflows and operational requirements - RequiredHands-on experience implementing model CI/CD pipelines - RequiredExperience with modern Python development practices including type checking, testing frameworks, and package management - RequiredHistory of successful collaboration with product teams - RequiredFamiliarity with ML Development Lifecycle management and MLOps best practice - RequiredFamiliarity of ML Monitoring and observability - RequiredExperience with LLMs and Infrastructure - PreferredUnderstanding of ML/AI platform tooling and patterns - PreferredFamiliarity with Distributed model training - PreferredHands-on experience with Kubeflow, Argo, MLFlow or other ML/AI Training orchestrators - PreferredFamiliarity of ML/AI metadata tools and model registries - PreferredHands-on experience with Terraform or other IaC tools - PreferredHands on experience building ML/AI solutions on GCP and Vertex AI - PreferredFamiliarity with ML model lifecycle and common ML libraries (PyTorch, scikit-learn, XGBoost, AutoGluon, CatBoost, TensorFlow, Keras) - PreferredFamiliarity with major LLM Models (Gemini, Cluade, ChatGPT, DeepSeek, LLaMA) - PreferredExperience with FastAPI and async Python development - PreferredFamiliarity with modern Python tooling (uv, mypy, ruff, bandit) - PreferredExperience with prompt management and versioning systems - PreferredUnderstanding of RAG architectures and token optimization - PreferredExperience writing and optimizing ML/AI tooling and components in C++ or Rust - PreferredExperience with LLMs and Infrastructure - PreferredExperience integrating with feature stores, feature caches and model serving platforms - PreferredWork Location/Schedule:Nashville, TN area (near Centennial Park)Hybrid: in office 3 days/week - MWFTravel Required:Up to 25% travel for quarterly and/or team meetings",Mid-Senior level,Senior Machine Learning Engineer
+868,2025-04-04,New York,,Peloton Interactive,http://www.onepeloton.com,"Peloton is at the forefront of connected fitness, with a powerful and thriving community with Members across the US, UK, Canada, Germany, and Australia.
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+Peloton brings together the best equipment, software, content, and instructors to make fitness accessible, effective, and convenient for everyone, while fostering the social connections that keep our Members motivated and moving towards their goals.
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+Through its immersive fitness ecosystem, Peloton is transforming the way people work out with a vast library of live and on-demand studio classes available to take wherever and however our Members choose to move—through Peloton Bike, Bike+, Tread, Row, Guide, and App, and on any iOS and Android device and select smart TVs. Style-forward and body-inclusive, Peloton Apparel is designed to move with you towards all your goals. And with Peloton Corporate Wellness or Peloton Commercial, organizations and enterprises can also access the Peloton platform—bringing the power of interactive fitness to their teams and customers. 
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+Innovation-driven and entertainment-led, Peloton is so much more than an exercise brand. It is a global leader at the intersection of fitness, technology, and media.","ABOUT THE ROLEThe Personalization team at Peloton is looking for a machine learning engineer to drive personalization and recommendations for our highly engaged members across multiple platforms. Their main focus will be to optimize the engagement and discovery of Peloton content through research and application of AI and ML techniques for content recommendations. They will work closely with ML Engineers, Software Engineers, Product Managers and Product Analysts to test ideas that drive member engagement. They will have a unique opportunity to work with one of the most granular data related to member engagement in the fitness industry. We’re looking for someone who’s passionate about fitness and is excited about the challenges of AI and machine learning to define the future of connected fitness. YOUR DAILY IMPACT AT PELOTONBuild and improve ML pipelines that power Peloton’s content recommendations.Research and apply outstanding machine learning techniques for recommender systems.Evaluate, implement, and improve machine learning models.Run A/B tests and experiments and analyze the results in collaboration with our product analysts.Productionize, deploy and monitor machine learning models and services.Collaborate and work closely with our platform teams to use their tools and infrastructure to rapidly iterate on ideas that drive delightful personalized experiences for millions of users. YOU BRING TO PELOTONDegree in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.2+ years of experience working in at least one of following ML subject areas: recommender systems, natural language processing or computer vision.Strong understanding of software engineering principles and fundamentals including data structures and algorithms.Experience writing code in Python, Java, Kotlin, Go, C/C++ with documentation for reproducibility.Experience with relational and non-relational databases such as Postgres, MySQL, Cassandra, or DynamoDB.Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.MS/PhD in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.Comfortable working with near real-time ML applications.Consistent track record of working with product managers to launch ML-based product features. The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including individual performance, business objectives, and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:- Medical, dental and vision insurance- Generous paid time off policy- Short-term and long-term disability- Access to mental health services- 401k, tuition reimbursement and student loan paydown plans- Employee Stock Purchase Plan- Fertility and adoption support and up to 18 weeks of paid parental leave - Child care and family care discounts- Free access to Peloton Digital App and apparel and product discounts- Commuter benefits and Citi Bike Discount- Pet insurance and so much more! Base Salary Range: $176,748 USD - $229,772 USD  ABOUT PELOTON:Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com.Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence.Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.",Mid-Senior level,Machine Learning Engineer III
+869,2025-03-19,,,Shaper Capital,http://www.shapercap.com,,"Title: Machine Learning EngineerLocation: NYC or DCReporting To: CEOAbout Adelphi: Adelphi is building the data-discovery and data-sharing infrastructure for the U.S. intelligence and defense communities, solving the problem of siloed data and slow intelligence dissemination. Adelphi's middleware enables secure, federated data discovery, reducing intelligence-sharing time from months to seconds while maintaining strict security protocols.Our product is AI-enabled middleware software that builds on top of current intelligence applications and brings together publicly available and first-party data to streamline intelligence work. Adelphi's goal is to dramatically reduce the time it takes for intelligence operators to find which systems contain relevant information on their targets.About the Role: By joining Adelphi as part of the initial Engineering team, you will be at the forefront of developing secure data sharing middleware in the national security and intelligence sectors. As a key member of our early engineering team, you will play a crucial role in developing the product. Our software will integrate seamlessly into the workflows of Case Officers, Special Ops Officers, and Case Management Officers, ensuring secure and efficient data access throughout the asset recruitment process.The ML engineer position requires a mix of software development, LLM Ops and secdevops practices, resulting in an exciting, fast paced engineering role. The right candidate will be able to demonstrate experience building, shipping and supporting mission critical services in support of the data pipelines and services that comprise the Adelphi Data platform. This role requires the ability to provide solutions for the full LLM stack - from the OS, storage and network up to the API and transport layer.Experience in the defense or intelligence fields is a plus, but is not required.Is this you?Designing and deploying intuitive, user-friendly APIs.Successfully launching machine learning services, particularly those leveraging LLMs, embeddings, and inference, into production environments.Handling and securing large-scale production data.Demonstrated proficiency in Python, Go, or C.Deep expertise in RDBMS, including database design, optimization, and operations.A proactive approach to tackling complex challenges in a fast-paced, early-stage environment.A passion for innovation and a collaborative spirit.Bonus Points:Experience in government (DoD, Intel, etc.) engineering.Proficiency in infrastructure management (Docker, Kubernetes, AWS).Expertise in encryption, authentication, Linux systems administration, DevOps, or SRE.BenefitsCompetitive salary and equity compensationPhysical and Mental Health benefitsOpportunity to work on impactful projects in the national security sectorA dynamic and innovative work environmentCareer growth and development opportunities",Entry level,Machine Learning Engineer
+870,2025-04-01,Palo Alto,,BitGo,http://bitgo.com,"BitGo is the leading infrastructure provider of digital asset solutions, offering custody, wallets, staking, trading, financing and settlement out of regulated cold storage. Founded in 2013, BitGo is the first digital asset company to focus exclusively on serving institutional clients. 
+
+BitGo is dedicated to advancing a digital financial services economy that is borderless and accessible 24/7. With multiple Trust companies around the world, BitGo is the preferred security and operational backbone for more than 1,500 institutional clients in 50 countries, including many of the world’s top brands, cryptocurrency exchanges and platforms. BitGo also secures approximately 8% of all on-chain Bitcoin transactions by value and is the largest independent digital asset custodian. For more information, please visit www.bitgo.com.
+","BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.This role will require being full-time onsite at our Toronto office to support collaborative team dynamics and innovative problem-solving.BitGo is looking for a Software Engineer to join our Onboarding team and help us build an API-first platform for businesses and developers to launch crypto products.Responsibilities:Design and build scalable, well abstracted, and robust APIs, libraries, and services to empower our API-first platformOwn functionality and scalability features by taking responsibility from inception to deployment and customer integrationExpose and document functionality to the UI, third-party developers, and our internal and external toolingCollaborate with cross-functional teams to define, design, and ship new featuresWrite clean, maintainable, and efficient codeEnsure the performance, quality, and responsiveness of applicationsIdentify and correct bottlenecks and fix bugsContinuously discover, evaluate, and implement new technologies to maximize development efficiencyParticipate in code reviews and contribute to a culture of continuous improvementWork closely with product managers, designers, and other engineers to understand and refine product requirementsProvide mentorship to your peers in the broader engineering team through code reviews and education on best practicesSkills & Experience: We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.RequiredAt least 3+ years of proven experience of back-end and server-side developmentGreat at algorithm design, problem solving, and complexity analysisStrong experience with of TypeScript, Node.js and ExpressStrong experience with Node.js, TypeScript, PostgreSQL and MongoDBStrong experience with RESTful API designExperience with microservices and service-oriented architecturesExperience with unit and functional testing and debuggingExperience in Git/GitHub and branching methodologies, code review tools, CI tools, etc.Ability to move quickly and adjust course as needed in a fast-paced environmentBachelor’s degree in computer science, applied mathematics, or another technical discipline from a top universityUnderstanding of and strong interest in cryptocurrencies and blockchainPreferredExperience developing consumer-facing crypto productsProven experience building public-facing APIs in a production environmentAbility to work full-stack and familiarity with React Experience working with clients and/or business partnersFamiliarity with any of the following: digital wallets, clearing and settlement, lending, trading, accounting systems, etcWhy Join BitGo?Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $180,000 - $220,000 CAD base salary. Equity and an annual performance bonus are also a part of this role's package.Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you’ll be able to look back and say you were part of the team that transformed investing.",Mid-Senior level,Software Engineer - Onboarding
+871,2025-03-24,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The TikTok Commerce Ads team is dedicated to blending advertiser focus with technical expertise. Our mission is to enhance commerce ads—both open-loop and closed-loop—to establish TikTok as an essential growth engine for businesses of all sizes and a top destination for consumers to discover and buy products, content, and services. We are crucial to driving TikTok's ad revenue and are committed to developing the next-generation web ad solutions for the platform.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Key Responsibilities Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization. Explore, develop and experiment with new features to improve model accuracy. Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users. Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.QualificationsMinimum Qualifications BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with related work experience. Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. Good analytical thinking capability. Have essential knowledge and skills in statistics. Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.). Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism.Preferred Qualification Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB). Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow). Relevant work or research experiences in search and recommendation.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Commerce Ads) - 2025 Start (BS/MS)
+872,2025-04-08,New York,,Peloton Interactive,http://www.onepeloton.com,"Peloton is at the forefront of connected fitness, with a powerful and thriving community with Members across the US, UK, Canada, Germany, and Australia.
+
+Peloton brings together the best equipment, software, content, and instructors to make fitness accessible, effective, and convenient for everyone, while fostering the social connections that keep our Members motivated and moving towards their goals.
+
+Through its immersive fitness ecosystem, Peloton is transforming the way people work out with a vast library of live and on-demand studio classes available to take wherever and however our Members choose to move—through Peloton Bike, Bike+, Tread, Row, Guide, and App, and on any iOS and Android device and select smart TVs. Style-forward and body-inclusive, Peloton Apparel is designed to move with you towards all your goals. And with Peloton Corporate Wellness or Peloton Commercial, organizations and enterprises can also access the Peloton platform—bringing the power of interactive fitness to their teams and customers. 
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+Innovation-driven and entertainment-led, Peloton is so much more than an exercise brand. It is a global leader at the intersection of fitness, technology, and media.","ABOUT THE ROLEThe Personalization team at Peloton is looking for a machine learning engineer to drive ourpersonalization and recommendations for our highly engaged members across multipleplatforms. Their main focus will be to optimize the engagement and discovery of Peloton contentthrough research and application of AI and ML techniques for content recommendations. Theywill work closely with ML Engineers, Software Engineers, Product Managers and ProductAnalysts to test ideas that drive member engagement. They will have a unique opportunity towork with one of the most granular data related to member engagement in the fitness industry.We’re looking for someone who’s passionate about fitness and is excited about the challengesof AI and machine learning to define the future of connected fitness.YOUR DAILY IMPACT AT PELOTONBuild and improve ML pipelines that power Peloton’s content recommendations.Research and apply best-in-class machine learning techniques for recommenderSystems.Evaluate, implement, and improve machine learning models.Run A/B tests and experiments and analyze the results in collaboration with our productAnalysts.Productionize, deploy and monitor machine learning models and services.Collaborate and work closely with our platform teams to use their tools and infrastructure to rapidly iterate on ideas that drive delightful personalized experiences for millions ofusers.YOU BRING TO PELOTONM.S. in highly quantitative fields including Computer Science, Machine Learning,Operational Research, Statistics, Mathematics, etc. 2+ years of industrial experience in at least one of ML fields: recommender systems,natural language processing or computer vision.Strong understanding of software engineering principles and fundamentals includingdata structures and algorithms.Experience writing code in Python, Java, Kotlin, Go, C/C++ with documentation forReproducibility.Experience with relational and non-relational databases such as Postgres, MySQL,Cassandra, or DynamoDB.Experience writing and speaking about technical concepts to business, technical, andlay audiences and giving data-driven presentations.PhD in highly quantitative fields including Computer Science, Machine Learning,Operational Research, Statistics, Mathematics, etc.Comfortable working with near real-time ML applications. The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including individual performance, business objectives, and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:- Medical, dental and vision insurance- Generous paid time off policy- Short-term and long-term disability- Access to mental health services- 401k, tuition reimbursement and student loan paydown plans- Employee Stock Purchase Plan- Fertility and adoption support and up to 18 weeks of paid parental leave - Child care and family care discounts- Free access to Peloton Digital App and apparel and product discounts- Commuter benefits and Citi Bike Discount- Pet insurance and so much more! Base Salary Range: $144,681 USD - $195,319 USD  ABOUT PELOTON:Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com.Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence.Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.",Mid-Senior level,Machine Learning Engineer II
+873,2025-03-28,Los Angeles ,,Paramount+,https://www.paramount.com/brand/paramount-plus,"Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world’s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming’s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.","Overview and Responsibilities:Paramount is looking for a Senior Machine Learning Engineer to join the team! The ideal candidate will be curious about applying machine learning! This includes supervised methods like SVMs, random forests, deep learning & reinforcement learning, to existing products and services to improve their efficiency and the overall user experience across our digital properties. In this role, you will use datasets like traffic/video/ consumption data, purchase/subscription data, and third-party data sources, to model, analyze and predict user behavior. You will also take ownership of machine learning products from conception through delivery and monitoring.Responsibilities: Craft and develop highly scalable and reliable machine learning solutions to improve user experience.  Overcome engineering challenges with deploying machine learning solutions at scale Investigate new ways machine learning can improve products and determine viability of solutions Keep up with machine learning research and commercial product offerings across a wide variety of machine learning fields including NLP, recommendations, image and video.  Participate in design and code reviews Effective communication is important as this is a distributed team Pioneer new product ideas for how machine learning can improve products and take ownership from inception through implementation.  Deliver recommendations across Paramount and PlutoTV platforms that serve millions of customers daily.  Work on innovative video solutions applying machine learning to both live streaming video and VOD.  Curate our content platform to craft and develop sophisticated products to collect, transform and enrich data in a fast, scalable and reliable way for ourselves and our customers. Basic Qualifications: 2+ years of experience bringing machine learning software products to production Leads on design and optimization of ML pipelines and developer experience MA/MS in Statistics/Data Science/Computer Science or related quantitative fields with specialization in data mining or machine learning techniques Knowledge of both supervised and unsupervised machine learning techniques in major types of approaches that they should be familiar with LTR (Learning to rank), Transformer Architectures, Sequences models for offline and online inference Have full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products Kubernetes - must know basics, APIs - good working knowledge, Message Queues (PubSub) - good working knowledge, and distributed processing like Ray and large DBs like BigQuery Proficiency in Python and associated machine learning packages is a must Python, Tensorflow and/or PyTorch, (tensorflow preferred), experience with a Python web framework (Django/Flask) is preferred SQL skillsAdditional Qualifications: Go or Java experience Communicate concisely and persuasively with engineers and product managers Experience with Tensorflow Extended (TFX), KubeFlow and related tools Experience using project management tools like those from Atlassian (JIRA, Confluence) Familiarity with version control systems (Git and Bitbucket) Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs) Background in NLP or text mining techniques is a plus Background in deep learning is a plus Familiarity with Kubernetes and cloud deployments Experience with elasticsearch Desire to contribute to the open-source community (i.e., blogs, source code, etc)Join the Paramount Streaming Talent Community! Get the inside scoop on life at Paramount Streaming and about career opportunities.Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world’s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming’s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.Paramount is an equal opportunity employer (EOE) including disability/vet.At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.",Mid-Senior level,Senior Machine Learning Engineer
+874,2025-02-13,Burbank,CA,The Walt Disney Company,http://www.disneycareers.com,"The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences.
+
+Our mission is to entertain, inform and inspire people around the globe through the power of unparalleled storytelling, reflecting the iconic brands, creative minds and innovative technologies that make us the world’s premier entertainment company.","About Direct To ConsumerDisney’s Direct to Consumer group seeks a talented and creative data engineer/scientist. In order to build and deploy Data Science models at the scale and velocity required for Personalization, Forecasting, Marketing, Content/User Segmentation, and other services at the user and session level at various timescales, our Data Scientists work with ML Engineers to build data ingestion pipelines and robust prediction modeling infrastructure. This is a high impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company’s revenue. It spans a broad range of subject areas, including analyzing fan engagement and marketing, personalization, predicting future consumer behavior, and optimizing content. We are a tight data-driven team with big goals seeking people who solve the toughest challenges at scale, using and building distributed systems in a fast-paced collaborative team environment.In this position, you will:Work together with data scientists to build and deploy models Leverage your in-depth knowledge of data science models to optimize them Develop the infrastructure required to build machine learning models at scale Build products/algorithms that will be used by millions of D+, E+ and Hulu subscribers Build and maintain self-service tools for Data Science Present your research and insights clearly and concisely to all levels of the company Collaborate across the org including Science, Engineering, Product and Operations Basic Qualifications5+ years experience driving business impact with data engineering Degree in Computer Science, Mathematics, or related field Expertise with common languages Python, SQL and a proven ability to learn new programming languages Expertise with Spark, Snowflake and related big data tools Experience deploying and optimizing machine learning flows, models, and frameworks (Scikit-Learn, Pytorch, Keras, OpenAI etc.) in AWS platforms at scale Experience working with data subject to privacy, governance and legal policies Preferred Qualifications8+ years experience driving business impact with data engineering Experience with Scala, Java, Apache, Kafka, Hadoop, Redis or SQS Proficiency with Databricks and Snowflake in complex AWS environments Proficiency with DevOps and CI/CD using tech like Docker, Kubernetes, Jenkins and Github actions Exerience with Agile environmentExperience with data science feature marts Understanding of recent developments in LLMs, vector embeddings, and transformers Strong data anaysis and visualizations skills to convey information and results clearly Experience applying math and statistical methods to data, including probabilistic thinking and programming Exceptional interpersonal and communication skills. Impactful presentation skills in front of a large and diverse audience. Additional Information#DISNEYTECHThe hiring range for this position in Santa Monica, CA is $138,900 to $186,200 per year. The hiring range in Seattle, WA and New York City, NY is $145,400 - $195,000, and the range in San Francisco, CA is $152,100 - 203,900. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered.",Mid-Senior level,Senior Machine Learning Engineer
+875,2025-04-01,Palo Alto,,BitGo,http://bitgo.com,"BitGo is the leading infrastructure provider of digital asset solutions, offering custody, wallets, staking, trading, financing and settlement out of regulated cold storage. Founded in 2013, BitGo is the first digital asset company to focus exclusively on serving institutional clients. 
+
+BitGo is dedicated to advancing a digital financial services economy that is borderless and accessible 24/7. With multiple Trust companies around the world, BitGo is the preferred security and operational backbone for more than 1,500 institutional clients in 50 countries, including many of the world’s top brands, cryptocurrency exchanges and platforms. BitGo also secures approximately 8% of all on-chain Bitcoin transactions by value and is the largest independent digital asset custodian. For more information, please visit www.bitgo.com.
+","BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.This role will require being full-time onsite at our Palo Alto office to support collaborative team dynamics and innovative problem-solving.BitGo is looking for a Software Engineer to join our Onboarding team and help us build an API-first platform for businesses and developers to launch crypto products.Responsibilities:Design and build scalable, well abstracted, and robust APIs, libraries, and services to empower our API-first platformOwn functionality and scalability features by taking responsibility from inception to deployment and customer integrationExpose and document functionality to the UI, third-party developers, and our internal and external toolingCollaborate with cross-functional teams to define, design, and ship new featuresWrite clean, maintainable, and efficient codeEnsure the performance, quality, and responsiveness of applicationsIdentify and correct bottlenecks and fix bugsContinuously discover, evaluate, and implement new technologies to maximize development efficiencyParticipate in code reviews and contribute to a culture of continuous improvementWork closely with product managers, designers, and other engineers to understand and refine product requirementsProvide mentorship to your peers in the broader engineering team through code reviews and education on best practicesSkills & Experience: We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.RequiredAt least 3+ years of proven experience of back-end and server-side developmentGreat at algorithm design, problem solving, and complexity analysisStrong experience with of TypeScript, Node.js and ExpressStrong experience with Node.js, TypeScript, PostgreSQL and MongoDBStrong experience with RESTful API designExperience with microservices and service-oriented architecturesExperience with unit and functional testing and debuggingExperience in Git/GitHub and branching methodologies, code review tools, CI tools, etc.Ability to move quickly and adjust course as needed in a fast-paced environmentBachelor’s degree in computer science, applied mathematics, or another technical discipline from a top universityUnderstanding of and strong interest in cryptocurrencies and blockchainPreferredExperience developing consumer-facing crypto productsProven experience building public-facing APIs in a production environmentAbility to work full-stack and familiarity with React Experience working with clients and/or business partnersFamiliarity with any of the following: digital wallets, clearing and settlement, lending, trading, accounting systems, etcWhy Join BitGo?Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $150,000 - $180,000 USD base salary. Equity, an annual performance bonus and the benefits outlined below are also a part of this role's package.Here are some of the benefits* of working at BitGo:Competitive base salary, bonus and stock options100% company paid health insurance for employee, partner and dependentsUp to 4% 401k company matchPaid parental leave, Paid vacationFree commuter/parking pass; 5 min from CaltrainFree custom lunches, dinners and snacks Computer equipment and workplace furniture to suit your needsGreat colleagues and inspiring startup environmentBenefits may vary based on locationCryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you’ll be able to look back and say you were part of the team that transformed investing.",Entry level,Software Engineer - Onboarding
+876,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Leading projects or small teams of people to help them unblock, advocating for ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapsCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Masters degree or PhD in Computer Science or another ML-related fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+877,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+878,2025-04-03,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technologyPreferred Qualifications 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2925565",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center - Model Customization"
+879,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications Experience programming with at least one software programming language 3+ years of non-internship professional software development experience Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Hands-on experience with generative AI technologyPreferred Qualifications Bachelor's degree in computer science or equivalent Hands-on experience with at least one ML library or framework 1+ years of experience in developing, deploying or optimizing ML models. 2+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2918741",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center"
+880,2025-03-20,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAds Core ML Team aims at creating automatic delivery products for the next generation and developing advertising as a global business, instead of just a monetization tool to consolidate the delivery funnel framework allowing multiple teams to iterate parallel.We're looking for innovative Research Engineer Interns focused on ML/RL/LLM or other relevant professional domains, to join our TikTok Ads Core ML Ranking team. Ads Core Ranking team specifically focuses on maximizing delivery system efficiency and revenue growth through state-of-the-art models and frameworks. Our research topics include but not limited to: Generative Retrieval and Large Recommendation Model, LLM-based Ranking Application, and Optimization of System Resource Allocation with ROI target.Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025. Please state your availability clearly in your resume (Start date, End date).Summer Start Dates:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities:As part of our team, you will be responsible for: Assist in optimizing efficiency across the entire advertising funnel, including Recall&Rough-sort, Fine-sort(CTR/CVR), format/creative personalization and system resource allocation. Research & develop a global advanced advertising delivery system through frontier technologies, including ML/DL, RL, LLM and also scaling law in ads recommendation. Design & Set up system framework and standard to continuously improve overall efficiency and meet different vertical business needs. Work with product and business teams from various scenarios with global impact.All of our team effort, is to continuously pursue and establish a world-leading ranking model & framework that always benefits our collaborators, users and customers to get better returnsQualificationsMinimum Qualifications: Currently pursuing a PhD Degree in Computer Science, Mathematics, Statistics, or a related technical discipline with 2+ years research or machine learning modeling experience. Able to commit to working for 12 weeks during Summer 2025. Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. Good analytical thinking capability. Essential knowledge and skills in statistics. Good theoretical grounding in deep learning concepts and techniques. Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet), familiar with its architecture and implementation mechanism.Preferred Qualifications: PhD candidate focused on a statistical learning related field. Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship. Good knowledge in one of the following fields: Factorization Machine, Uplift Modeling, Diffusion Models, Reinforcement Learning. Basic understanding of large recommendation system and ads serving system concepts.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $60- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (Monetization Technology - Ads Core Technology) - 2025 Start (PhD)
+881,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an Software Development Engineer (SDE) on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsA day in the lifeAs You Design And Code Solutions To Help Our Team Drive Efficiencies In Software Architecture, You’ll Create Metrics, Implement Automation And Other Improvements, And Resolve The Root Cause Of Software Defects. You’ll Also Build high-impact Gen AI solutions to deliver to our large customer base Participate in design discussions, code review, and communicate with internal and external stakeholders Work cross-functionally to help drive business solutions with your technical input Work in a startup-like development environment, where you’re always working on the most important stuffAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technologyPreferred Qualifications 3+ years of full stack development experience Bachelor's degree in computer science or equivalent Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or frameworkAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2937070",Not Applicable,"Machine Learning Engineer, Gen AI Innovation Center, AWS"
+882,2025-03-13,Lake Mary,Florida,Alpha,http://www.myalphafund.com,"At AlphaFund, we focus on the dynamic intersection of healthcare, biotechnology, and venture capital, uncovering the insights, trends, and opportunities that drive transformational growth. Our mission is to empower investors, entrepreneurs, and industry leaders with the knowledge and connections needed to navigate and thrive in these rapidly evolving sectors.
+
+What We Offer:
+	•	In-Depth Analysis: Explore expert reports and comprehensive insights on Healthcare, Biotech, Medical Technology, Health IT, and the latest advancements in Life Sciences. Our analyses highlight groundbreaking startups and emerging trends that are shaping the future of care and innovation.
+	•	Spotlight on Innovation: Discover the potential of cutting-edge developments in areas like precision medicine, telehealth, digital therapeutics, and biopharma. AlphaFund sheds light on the startups and technologies revolutionizing healthcare delivery and patient outcomes.
+	•	Exclusive Content: Gain access to interviews with industry pioneers, success stories of venture-backed healthcare startups, and thought leadership that provides unparalleled perspectives on the industry.
+	•	Community Engagement: Join a network of investors, entrepreneurs, and biotech enthusiasts. Participate in thought-provoking discussions, webinars, and events that connect you with key players in the healthcare and biotech ecosystem.
+","We are seeking a highly skilled Machine Learning Engineer with hands-on experience in diffusion models, deep generative modeling, and deployment of AI systems using TensorFlow or PyTorch. The ideal candidate will work on cutting-edge projects involving denoising diffusion probabilistic models (DDPMs), latent diffusion models (LDMs), or related architectures to develop state-of-the-art generative AI applications.This role requires a deep understanding of machine learning, model optimization, and efficient large-scale inference. The candidate will also work closely with data engineers, research scientists, and software engineers to bring production-ready AI solutions to market.Key ResponsibilitiesDesign, develop, and optimize diffusion models (DDPMs, LDMs) for tasks such as image generation, text-to-image synthesis, or noise-based denoising techniques.Implement and fine-tune deep learning models using PyTorch or TensorFlow for generative AI applications.Develop scalable and efficient ML pipelines for training and inference using multi-GPU, TPU, or distributed computing environments.Optimize models for latency, memory efficiency, and performance through techniques such as quantization, pruning, distillation, and mixed-precision training.Integrate diffusion models into production systems, including API endpoints, cloud-based inference, and real-time processing.Collaborate with research teams to experiment with new architectures and improvements in generative AI.Utilize cloud services (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, ONNX, TensorRT) to deploy and monitor models.Keep up-to-date with state-of-the-art generative modeling research and implement innovative methodologies in projects.Required Qualifications✅ Experience with Diffusion Models:Strong knowledge of denoising diffusion probabilistic models (DDPMs), stable diffusion, latent diffusion models (LDMs), or similar generative AI techniques.Hands-on experience implementing diffusion models from research papers and deploying them in real-world applications.✅ Deep Learning & Model OptimizationExpertise in deep learning architectures (CNNs, VAEs, GANs, Transformers, or ResNets) for generative modeling.Proficiency in TensorFlow or PyTorch with experience in writing custom training loops, fine-tuning, and debugging large models.Understanding of latent space representation, noise scheduling, and generative priors in deep generative models.✅ Efficient Model Training & DeploymentExperience with multi-GPU/TPU training, data parallelism, model parallelism, and distributed training frameworks.Knowledge of model acceleration techniques (e.g., ONNX, TensorRT, quantization, mixed precision training, JIT compilation, XLA optimization).✅ Software Engineering & MLOpsStrong proficiency in Python and experience with containerized deployment (Docker, Kubernetes, FastAPI, Flask, etc.).Experience working with cloud services (AWS, GCP, or Azure) for training and deployment.Familiarity with MLOps workflows, versioning, and monitoring tools such as MLflow, Kubeflow, or Weights & Biases.",Mid-Senior level,Machine Learning Engineer - Diffusion Models & Deep Learning
+883,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+884,2025-03-28,Beaverton,OR,Nike,nike.com/careers,"NIKE, Inc. is a purpose-driven organization energized by a shared commitment to move the world forward through the power of sport. We champion diversity and amplify individual passions to bring inspiration and innovation to every athlete* in the world.  
+
+Here, every teammate has a role to play. We work together, embracing our differences and pushing boundaries, to achieve collective success. For more information on how you can contribute to a world-class team, visit our career site at nike.com/careers and join our talent community at https://nikeats.avature.net/niketalentcommunity. ","Who We Are Looking ForWe’re looking for experienced Software Engineers to support and improve our operational processes for our evolving cloud native production systems and for our existing legacy applications. The candidates need to be highly collaborative with peers, be productive in a fast-paced support and development environment and have depth of software engineering experience.What You Will Work OnYou will be working with our engineering, support, business and user bases to support numerous legacy and new cloud-based applications. You will be working tightly with the team on the day-to-day activities to ensure timely resolution of break-fix items as well as managing their workload in regard to cross-functional development activities. You will also help modernize our ability to track and report DevOps metrics acoss our CP&I organization.Who You Will Work WithYou will be a part of the larger Global Technology organization working on the Design Engineering Support and Operations team, reporting to the team’s Production Support Director. You will work on day-to-day activities with your support resources, the team’s Technical Product Manager(s), Technical Leads, Engineers, and Business Users on software development and support projects to achieve business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals. You will be directly fielding issues from our internal user community working to diagnose, resolve, document, and communicate on production issues.What You BringBachelor's degree in Computer Science or related technical subject area or equivalent combination of education and experience3+ years of hands-on supporting software platforms built in AWS in support of product design, innovation, or product creation communitiesExhibit a sound understanding of support processes and procedures, demonstrating a high level of understanding of ITIL standards.Exemplary communication and interpersonal skills, working across all levels of leadership within the organization.Demonstrated experience in continual process improvement.Deep understanding of testing framework and development of automated testingStrong understanding of architectural design patterns and computer science fundamentals.Ability to both rapidly diagnose and resolve break-fix issues, understanding business dates and gates and assigning priority and severity appropriately.Experience with cloud architecture, on-prem infrastructure, and ability to support and diagnose issues.Demonstrated experience of working with a multidisciplinary team while also being able to work independently.Knowledgeable with Scrum development processes or similar Agile methodologies.A track record of working with ambiguity and getting things done in a fast-paced, ever-evolving environment.Experience with asset storage and content management systems is a plus.Product Creation experience is a plusExperience with 3D Applications and Tools is a plus.We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.",Entry level,Software Engineer 2 - Design Engineering
+885,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Leading projects or small teams of people to help them unblock, advocating for ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapsCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Exposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+886,2024-08-31,Austin,Texas,Tesla,https://www.tesla.com/careers,"Our mission is to accelerate the world’s transition to sustainable energy. With global temperatures rising, the faster we free ourselves from fossil fuel reliance and achieve a zero-emission future, the better. 
+ 
+In pursuit of this mission, we make electric vehicles that are not just great EVs, but the best cars, period. We also produce and install infinitely scalable clean energy generation and storage products that help our customers further decrease their environmental impact. When it comes to achieving our goals, we pride ourselves in accomplishing what others deem impossible.
+ 
+We are opening new factories and increasing our output everyday – join us in building a sustainable future.","What To ExpectJoin our Self-Driving team to help shape one of the most advanced and widely-deployed computer vision systems in the world. As a key contributor, you will drive innovation in geometric vision, tackling challenges related to both the vehicle dynamics and environmental perception.What You'll DoDevelop and refine models for estimating geometric entities using both modern neural network-based and classical vision techniquesLeverage vast amounts of fleet data for algorithm development and validationDesign and develop automated data generation pipelines that create various high quality ground truth data for real-world perception problems Deploy and scale your work across millions of autonomous vehicles worldwide Collaborate closely with a high-caliber team dedicated to realizing full autonomyWhat You'll BringProven ability to rapidly prototype and optimize algorithms Proficiency in writing production-quality code in PythonProficiency in c++ is highly desirableSolid understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation experienceExpertise in key areas of computer vision and robotics, such as structure-from-motion, Visual-Inertial SLAM, large-scale mapping and localization, dense 3D modeling, or neural rendering (e.g., NeRF, Gaussian Splatting)Practical experience with PyTorchFamiliarity with deploying neural network models is an advantageBenefitsCompensation and BenefitsAlong with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks programExpected Compensation$140,000 - $360,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment., Tesla",Entry level,"Machine Learning Engineer, Geometric Vision, Self-Driving"
+887,2024-07-10,Austin,Texas,Tesla,https://www.tesla.com/careers,"Our mission is to accelerate the world’s transition to sustainable energy. With global temperatures rising, the faster we free ourselves from fossil fuel reliance and achieve a zero-emission future, the better. 
+ 
+In pursuit of this mission, we make electric vehicles that are not just great EVs, but the best cars, period. We also produce and install infinitely scalable clean energy generation and storage products that help our customers further decrease their environmental impact. When it comes to achieving our goals, we pride ourselves in accomplishing what others deem impossible.
+ 
+We are opening new factories and increasing our output everyday – join us in building a sustainable future.","What To ExpectAs a member of the Dojo Machine Learning team, you will be responsible for enabling Tesla's neural networks to train efficiently on our upcoming in-house custom silicon supercomputer systems. Join a small team of experienced developers in optimizing and scaling the deployment of our Pytorch derived neural networks on Tesla's custom massively parallel Dojo accelerators. Work with many of the same great engineers who delivered Tesla's custom FSD Computer. The ideal candidate has experience with writing software for large distributed systems.What You'll DoUnderstand and model the end-to-end training performance of the Autopilot SW team's Pytorch-derived neural networks on the Dojo systemDevelop software that scales and improves training performance based on your analysis of the bottlenecksCollaborate with the Dojo HW team to understand current HW architecture and propose future improvementsWhat You'll BringDegree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional abilityExperience scaling neural network training systems or other large distributed systemsFamiliarity with the internals of PyTorch and/or JAXPerformance analysis experienceExperience coding parallel programsAble to work from Palo Alto officeBenefitsCompensation and BenefitsAlong with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks programExpected Compensation$120,000 - $360,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment., Tesla",Mid-Senior level,"Software Engineer, ML Performance, Dojo"
+888,2025-04-02,Boston,Massachusetts,Motion Recruitment,http://www.motionrecruitment.com,"Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software, Mobile, Data, Infrastructure, Cybersecurity, Product + UX and Functional.
+
+Motion also delivers IT Consulting Solutions through the Motion Consulting Group (MCG) that create true digital transformation for IT projects in Agile Development & Coaching, DevOps & DevSecOps Solutions, and Managed Services for IT Operations.
+ 
+We’re also the proud creators of Tech in Motion and the Timmy Awards, our North American community platform, events series and award program that connects over 250,000 tech enthusiasts to meet, learn, and innovate.","Machine Learning Data Engineer12 Month Contract (Possible Extension or Contract-to-Hire)Location: Fort Worth, TX Hybrid (4 days/WK)*Must be local to Dallas/ Fort Worth, TX area or willing to relocate the Dallas/ Fort Worth, TX area*Must be able to work on W-2 basisJob DescriptionThe company’s Network Strategy and Innovation team develops strategic initiatives and innovative solutions to enhance network efficiency and sustainability. This team optimizes railway infrastructure and operations by analyzing market trends, customer needs, and technological advancements. Their work includes adopting advanced technologies, improving operational efficiency, and exploring sustainable practices.The Machine Learning Data Engineer plays a critical role in building and maintaining the data infrastructure and pipelines necessary to support the company's Network Strategy, Design, and Innovation department. This position involves leveraging machine learning techniques to enhance data-driven decision-making and optimize operations within rail systems. Job DescriptionDesigning, developing, and deploying scalable data pipelines and machine learning models. The role requires expertise in Python and SQL, with a preference for experience in PySpark and Databricks. The role will also be responsible for integrating machine learning models into production environments, ensuring reliability and scalability.Data Infrastructure & Pipeline DevelopmentBuild and maintain robust data pipelines for ingesting, transforming, and storing large datasets.Develop backend infrastructure to support machine learning models and AI solutions. Machine Learning Model DeploymentImplement and automate machine learning model pipelines, ensuring seamless deployment and monitoring.Collaborate with data scientists to optimize models for performance and scalability. Basic QualificationsStrong proficiency in Python and SQL, with experience in building data pipelines and deploying machine learning models.Advanced analytical skills and the ability to independently conduct complex analyses.Excellent interpersonal and communication skills, both verbal and written.Ability to manage multiple projects and deadlines simultaneously.Proficiency in using data visualization tools such as Tableau or Power BI.Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).Preferred Qualifications3+ years of experience in ML/OptimizationDemonstrated experience with machine learning life cycle management and operationalization.Knowledge of deep learning model building and implementation.Experience with cloud platforms (AWS, Azure, GCP) and CI/CD tools (e.g., Jenkins, GitLab CI).Familiarity with PySpark and experience working with Databricks.Familiarity with company’s measurement systems and reports (e.g., DPR, SCORE, Corporate Dashboard).EDUCATIONBachelor’s and/or Master's degree in analytics, computer science, or a related field.You Will Receive The Following Benefits:Medical & Dental InsuranceHealth Savings Account (HSA)401(k)Paid Sick Time LeavePre-tax Commuter BenefitApplicants must be currently authorized to work in the United States on a full-time basis now and in the future.Motion Recruitment provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in today’s highest-demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.",Mid-Senior level,Machine Learning Data Engineer
+889,2025-04-03,Bethesda,MD,Lockheed Martin,https://www.lockheedmartin.com,"The world relies on what we do. 
+
+Headquartered in Bethesda, Maryland, with offices across the U.S. and around the globe, our team delivers solutions that strengthen national security, shape industries and push engineering  and technology to new levels. We collaborate to win. We put our customers first. And we perform with excellence.
+
+The best careers are built at Lockheed Martin. Join us.","Basic Qualifications Bachelor’s Degree in Engineering, Computer Science, or other related discipline Skilled in machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn, Keras, etc) Skilled in Python and multiple libraries (NumPy, SciPy, Pandas, etc.) Experience with training and analysis steps in a modern MLOps pipeline including labeling, local and global explainability, model export and serialization, conformance testing, deployment, and monitoring Ability to obtain a Secret government security clearanceJob Code/TitleE9853:A/AI Mch Learn Engnr SrJob DescriptionThe Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence and machine learning to support the Applied AI team and product portfolio, focusing on a broad range of projects across the LAIC. The team is focused on exploiting small, innovative and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise and leveraging machine learning operations paradigms to provide continuous maintenance for deployed products.The selected candidate for this role will focus on the monitoring and maintenance of fielded AI capabilities and on the development of new capabilities to enhance ML monitoring and continuous update processes for deployed systems. Activities will span analysis of customer data, ML model performance assessments, ML model updates, & new capability development to address evolving operational requirements.Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills.The selected candidate is required to work at major Lockheed Martin facilities that support relevant customer platforms including LM Moorestown, Valley Forge, Colorado, and Orlando between 50% and full time on site depending on mission needs. Off hours work is occasionally required to meet mission requirements to support updates to and real time monitoring of customer mission systems. Flexible hours are available outside these requirements.Must be a US Citizen.#LMLAICDesired Skills Master’s Degree in Engineering, Computer Science, or other related discipline Experience with high-performance computing Experience with network/messaging (UDP, ZeroMQ, RESTful API, etc.) Experience interfacing with databases (SQL, MongoDB, etc.) Experience leading other engineers or small teams Experience with C++, Java, GO, and other compiled languages Experience with modern Computer Vision Experience developing applications on Linux Familiarity with transitioning prototype software to production (through code development, requirements) Skilled in large dataset management, exploration, visualization, and analysis General knowledge of radar systems engineering, radar track processing, and general digital signal processing Experience leading programs, test events, integration activities, or live data collection activities Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]Other Important InformationBy applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Ability to work remotelyPart-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.Select the Telework classification for this positionEmployee will telework < 50%Ability to TelecommutePart time telecommutingShiftFirstWork Schedule InformationLockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.Work Schedule4x10 hour day, 3 days off per weekSecurity ClearanceNoneLMCareers Business UnitENTERPRISE BUSINESS SERVICESProgramLAICDepartment50143:Artificial IntelligenceJob ClassArtificial IntelligenceJob CategoryExperienced ProfessionalCity, StateKing of Prussia-PA, Littleton-CO, Moorestown-NJ, Orlando-FLCityKing of Prussia, Littleton, Moorestown, OrlandoZip08057, 19406, 32825, 80127VirtualnoRelocation/Housing Stipend AvailablePossibleReq TypeFull-TimeDirect/IndirectDirect At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.EEOLockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.National Pay StatementPay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $104,900 - $184,920. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.This position is incentive plan eligible.Premium Pay StatementPay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $120,600 - $209,070. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.This position is incentive plan eligible.",Mid-Senior level,A/AI Machine Learning Engineer Sr
+890,2025-04-03,San Francisco,California,Arable,http://www.arable.com,"Arable is leading the global advancement of sustainable agriculture by transforming agronomic decision-making through cutting-edge technology. Forward-thinking organizations in over 50 countries rely on Arable to help them be more productive and sustainable.
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+The company’s intuitive solution integrates state-of-the-art IoT technology, machine learning, and advanced modeling to convert in-field weather, crop, soil, and irrigation data into real-time, actionable insights. Users are empowered to make informed, proactive decisions that reduce risk and optimize agricultural practices.
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+Focused on shaping the industry's future, Arable powers transformative initiatives such as large-scale irrigation optimization that conserve hundreds of millions of gallons of water, and agricultural weather intelligence networks supporting thousands of underserved smallholder farmers.
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+Arable is venture-backed by Galvanize Climate Solutions, Qualcomm Ventures, Prelude, S2G, Ajax Strategies, Grupo Jacto, Middleland, M2O, and iSelect.
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+For more information, visit www.arable.com.","Come work alongside some of the most talented minds in the agtech industry. We are a team of innovators who are accelerating the digitization and sustainability of our planet’s food system. At Arable, you will have the unique opportunity to build something meaningful with an amazing group of people who care about each other and their work.What we do:At Arable, our goal is to connect all the world’s farms to help optimize the global food system. This is an ambitious goal, but the need has never been greater to rethink how we will feed an ever-growing population and reduce our impact on natural resources. We believe the heart of the solution is digitizing the analog world with high-fidelity data to help food producers optimize their operations. We hope the impact of our work will improve the lives of farmers everywhere and be a major contribution to securing the global food supply for decades to come.A few examples of the work we’re doing today:Helping farmers in India and Mozambique adapt to the effects of climate change on their farms with novel data-driven crop insuranceGiving produce growers in California the tools to optimize production and minimize wasteHelping irrigated farms in Nebraska manage water more efficiently and sustainably to protect our water supplyWhat We're Looking For:Arable Labs seeks an experienced and insightful Principal Data Scientist to join our mission-driven team, reporting to the Head of Data Science. Our work leverages unique, high-fidelity field data to provide critical insights for global agriculture and environmental monitoring. In this key role, you will apply your deep expertise in machine learning, statistical modeling, and software engineering to solve complex challenges in agricultural water management. You will lead the development of core predictive models, drive innovation through applied research, and see your work contribute directly to farm sustainability and resource efficiency, often supported by broader corporate environmental initiatives. We need a hands-on technical leader passionate about tackling meaningful problems and translating data into real-world impact.Where You'll Make an Impact:Significantly improve models that help farmers optimize irrigation, conserve water, and understand field conditions (e.g., rainfall, evapotranspiration, water balance)Advance Arable's predictive capabilities through the application of novel ML techniques and sensor data analysisContribute directly to tools supporting climate resilience and sustainable practices in agricultureWhat You Will Do:Lead End-to-End Model Development: Drive the full lifecycle of core machine learning models – from research, prototyping, and validation to deployment (Python, Docker, Flask, AWS/SageMaker) and ongoing performance monitoring and improvement. Key areas include water balance, ET, rainfall, and irrigation insightsConduct Applied Research & Innovation: Identify opportunities and execute applied R&D projects to enhance model accuracy, leverage new data sources (internal sensor streams, external weather data), and develop novel predictive features, balancing exploration with pragmatic deliveryCollaborate for Impact: Work closely with cross-functional teams – Product (defining requirements, translating features), Sensors/IoT (understanding data, calibration and validation), and Software (API integration, production pipelines) – to ensure data science solutions effectively meet business and user needsEnsure Solution Quality & Provide Expertise: Uphold high standards for model performance and data integrity through rigorous validation, anomaly detection, and addressing operational analytical needs. Serve as a subject matter expert in your domain areas and contribute to the team's technical strategy and best practices, potentially mentoring junior membersRequired Experience and Skills:MS or PhD in a quantitative field or equivalent deep practical experience5-8+ years relevant hands-on experience developing & deploying ML/DS solutionsML & Statistical Depth: Strong theoretical understanding and practical expertise in machine learning (especially time-series), statistical modeling, and validation techniquesR&D Acumen: Demonstrated ability to conduct applied research, tackle ambiguous problems, and deliver impactful, data-driven solutionsTechnical Implementation: Proficiency in Python for data science (NumPy, pandas, scikit-learn, etc.), strong software engineering practices (Git, testing, docs), and experience deploying models via APIs (Flask) using containers (Docker) on cloud platforms (AWS)Communication & Collaboration: Excellent ability to communicate complex concepts clearly and collaborate effectively within a cross-functional environmentPreferred Experience and Skills:Domain Knowledge: Background or strong interest in agriculture, hydrology, meteorology, soil science, or related environmental sciencesSensor Data & Techniques: Experience with real-world IoT sensor data (including CalVal), anomaly detection, and leveraging external datasets (weather, geospatial)Startup Environment: Proven ability to thrive and take ownership in a fast-paced, dynamic startup settingAWS ML Ecosystem: Deep familiarity with AWS services, particularly SageMakerMentoring: Experience guiding or mentoring other technical team membersLocation: United States based; SF Bay Area preferred, but remote US is possible.What we offer:At Arable, you will be joining a company of dedicated team players who bring together diverse expertise and a passion for building a more sustainable future. We are a fast-moving startup committed to providing a rewarding employee experience through the work we do, the team, compensation, and benefits, including:Excellent medical, dental, vision, and a 401k programFlexible PTOA focus on community involvement and career developmentBeing a part of creating innovative new products that have a positive impact on the worldAt Arable, we don't just accept difference—we celebrate and support it. Not only because it's the right thing to do but because we draw on the differences in who we are, what we've experienced, and how we think to make Arable thrive. Arable is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, gender expression, protected veteran status, and any other characteristic protected under applicable State or Federal laws and regulations.",Not Applicable,Principal Data Scientist
+891,2025-03-15,The Cloud,,Snowflake,http://www.snowflake.com,"Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.","Build the future of the AI Data Cloud. Join the Snowflake team.We are seeking a motivated and skilled Frontend Engineer to join our dynamic team building AI/ML Applications for the enterprise. In this role, you will be responsible for implementing the user experience across the entire lifecycle of our products enabling enterprises to talk with their structured data and gain insights from them in unprecedented ways, from conception through development to deployment. You will collaborate closely with cross-functional teams, including product managers, designers, and developers, to deliver high-quality AI/ML powered experiences that meet customer needs and business goals.RESPONSIBILITIES:Work closely with product managers to understand product requirements, user needs, and business objectives.Translate product requirements into technical specifications and engineering plans.Design and develop prototypes, proof of concepts, and production-ready solutions.Implement and test new features, functionalities, and improvements across the product lifecycle.Collaborate with UX/UI designers to ensure intuitive user interfaces and exceptional user experience.Conduct thorough testing and validation to ensure product quality and reliability.Optimize and refactor code to improve performance, maintainability, and scalability.Participate in code reviews, provide constructive feedback, and mentor junior team members.Monitor and analyze user feedback and metrics to continuously improve product features and performance.Stay updated with industry trends, best practices, and emerging technologies relevant to product development.REQUIREMENTS:Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.2 years of experience in software development, product engineering, or a related role.Proficiency in JavaScript/TypeScript and another language such as Python/Go/Java.Experience with React web development library.Strong understanding of software engineering principles, including design patterns, data structures, and algorithms.Excellent problem-solving skills and ability to troubleshoot technical issues in a production environment.Experience with building LLM Applications is a plus (through prior work or personal interest).Effective communication skills and ability to collaborate effectively in a cross-functional team environment.Passion for building innovative products and delivering impactful solutions to users.Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.comThe following represents the expected range of compensation for this role: The estimated base salary range for this role is $157,000 - $230,000.Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.",Entry level,Software Engineer - AI/ML Frontend
+892,2025-03-31,Bentonville,Arkansas,Walmart,https://bit.ly/3IBowlZ,"Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands, you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world. 
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+We are ecstatic to have been named a Great Place to Work® Certified May 2023 – May 2024, Disability: IN 2023 Best Places to Work, and Fast Company 100 Best Workplaces for Innovators 2023.
+
+This is that place where your passions meet purpose. Join our family and build a career you’re proud of.","Position Summary...What you'll do...As a company, Walmart primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. The Display Ads ML team builds services that enable advertisers to efficiently capture and predict user engagement while minimizing their costs. The team leverages machine learning models to incorporate advertisers’ goals in auction ranking, allowing them to maximize installs, key conversions, or return on ad spend.As the primary owners of the engagement prediction and bid recommendation systems, the team is responsible for a central part of the ads delivery system that generates bid recommendation considering advertiser objectives and user engagement scores. Given the centrality of this system, the team also regularly conducts highly rigorous and controlled experiments to measure the impact of improvements to these systems. Some of the project highlights include maximizing conversions campaign optimization, which uses real-time data to meet advertisers’ key objectives.The Software Engineer III, Machine Learning Engineer will work closely with technical leaders to build new advertiser optimization products that significantly increase the efficiency and ROI for the advertisers.You will be responsible for your quality and technical approach within the team; partner with other team members in direction setting, planning, and overseeing engineering designs and executions; establish and contribute to the group’s culture and processes.You will collaborate with cross-functional engineering, product, and marketing teams to ensure that our customers’ voices are represented in your work. You will help design, conduct, and analyze experiments to quantify the impact of the systems that you build. We are seeking an engineer to join a team building state-of-the-art bidding optimization and user prediction systems. As a member of this team, you will help us uplevel the capabilities of Walmart Display Ads platform through innovative optimization products that enhance advertiser value.About TeamOur team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.What You'll DoExecute a roadmap for engagement and bid recommendation modeling, balancing innovative modeling approaches with business objectives. Build Walmart-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.Support the Model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Think out-of-the box!What You'll Bring2+ years of contributing high-quality code to production systems that operate at scale. Participate the design, development and implementation of complex machine learning solutions/algorithms that drive business results leveraging Python, Nodejs, LLM, NLP Models, Chat GPT or similar platforms, scikit-learn, TensorFlow/Pytorch, Cassandra, BQ, RedisSolve complex problems with multilayered data sets, multi batch inferencing. Upholding ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions.Stay up to date with the latest AI/ML technologies and trend - acting as a thought leader for ML Engineering within the organization and in the broader technical community.Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.‎‎‎You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.‎For information about PTO, see https://one.walmart.com/notices.‎‎Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.‎Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.‎For Information About Benefits And Eligibility, See One.Walmart.‎The annual salary range for this position is $117,000.00-$234,000.00‎Additional Compensation Includes Annual Or Quarterly Performance Bonuses.‎Additional Compensation For Certain Positions May Also Include‎‎ Stock‎‎Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years’ experience in software engineering or related area.Option 2: 4 years’ experience in software engineering or related area.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Customer Service, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Masters: Computer SciencePrimary Location...680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America",Entry level,"Software Engineer III, Machine Learning Engineer"
+893,2025-04-02,San Francisco,CA,Airbnb,http://airbnb.com,"Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million Hosts who have welcomed over 1.5 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.","Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Community You Will JoinYou will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace.The Difference You Will MakeAs a Staff Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. Your work will include:Specifying and estimating models to determine the impact of supply and demand on marketplace outcomesDelivering data and insights to enable the company’s supply growth effortsProviding mentorship to other data scientists and exemplifying a high bar for technical excellenceA Typical DayCrafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning.Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions.Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success.Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals.Your Expertise9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative fieldStrong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scaleExperience with causal inference and machine learning techniques, ideally in a multi-sided platform settingProven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environmentsProven ability to communicate clearly and effectively to audiences of varying technical levelsYour Location:This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & BelongingAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.How We'll Take Care Of YouOur job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.Pay Range$194,000—$240,000 USD",Mid-Senior level,"Staff Data Scientist, Marketplace"
+894,2025-04-08,Owings Mills,Maryland,Spark Tek Inc,https://www.sparktekusa.com/,We are a team of experts with deep knowledge of various business functions. We aim to provide customized solutions that can be aligned with our customer demands. We provide business consulting services to help you build high performing organizations which are scalable and sustainable. Our reliable solutions have proven success across varied industries along with different growth stages. We are fast expanding industry and domain experts with in depth experience in leadership and global organizations.,"Role: Data scientistLocation: Seattle, US - onsiteJob type: ContractJob Description Seeking highly skilled Data Scientist. The ideal candidate will play a crucial role in supporting experimentation with adhoc deep-dives and investigations while also working on improving data reporting infrastructure for our performance marketing incrementality testing program. You will be supporting experiment actionability with in-depth, ad-hoc investigations, working with Applied Science & marketing teams to automate reporting of actionable KPI, automating pre/post analyses for incrementality test results, and creating attractive and accessible data visualization to enhance experiment results.Qualifications Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. ) Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics. Strong understanding and real-world utilization of basic statistics concepts (Hypothesis testing, power, variance). Experience with exploratory data analysis, statistical analysis, and experimentation Ability to use Python or R to work efficiently at scale with large data sets Proficiency in SQL. Ability to use Tableau, Python, R, or Google sheets to create dashboards & data visualizations for reporting Able to comfortability communicate data-informed findings with less technical stakeholders.Preferred Qualifications Experience in experimental design and analysis (e.g., A/B and market-level experiments), as well as causal inference. Experience with Google Ads Data & APIs",Entry level,Data scientist
+895,2025-03-26,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity This role is part of Adobe’s Global Marketing Organization (GMO), specifically within the Growth Marketing and Insights organization (GMI). We are seeking a highly experienced Machine Learning Engineer to design, develop, and deploy advanced causal Marketing Mix Models (MMM) for Adobe’s global businesses.These models are crucial for guiding Adobe’s quarterly and yearly marketing budget decisions and generating insights that drive business growth. The primary goal of this role will be to build foundationally solid models that can be refreshed frequently in the production environment. This role will collaborate with cross-functional teams, including analytics, marketing execution, and engineering. What you'll  do  Develop both descriptive and predictive MMMs that accurately measure the incremental impact of marketing and non-marketing drivers  Expand our modeling solutions to support a growing number of geographic locations and product groups  Integrate additional measurement methodologies and data to ensure accurate measurement of marketing return on investment  Balance technical capabilities with practical business needs  Measure both short- and long-term impact of marketing to guide budget allocation across funnel stages to drive sustainable business growth  Communicate model results effectively to partners and executives  Continuously improve modeling techniques and capabilities as the analytical landscape evolves  Contribute to the overall growth of the team! Requirements MS/PhD in Economics, Statistics, Physics, Mathematics, Computer Science, or a related quantitative field  3-4 years of experience in developing and operationalizing MMM and marketing science solutions  Strong technical expertise in MMM and ML algorithms, with the ability to connect model insights to business outcomes  Experience with experimentation/causal inference methods  Experience in deploying models from development to production environments  Proficiency in ML programming languages like Python, R, etc. and data querying languages ( e.g. SQL)  Experience with cloud platforms for scalable model training and deployment  Ability to balance practical business needs with technical possibilities  Strong communication skills and the ability to explain technical terms to business stakeholders  Ability to build positive working relationships and collaborate in cross-functional teams  A curious mind, passion, and motivation to learn new skills, tools, and techniques! Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,Machine Learning Engineer - Marketing Mix Modeling
+896,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
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+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Leading projects or small teams of people to help them unblock, advocating for ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapsCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Masters degree or PhD in Computer Science or another ML-related fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+897,2025-04-04,Knoxville,TN,Tombras,http://www.tombras.com,"Tombras is a 450+ person, full-service agency with a digital mindset. We are one of the top independent agencies in North America. We are united by our philosophy: Connecting Data & Creativity for Business Results.®
+
+
+2023 AdAge A-List Standout 
+2022 ADWEEK US Agency of the Year (Finalist)
+2021 Fast Company World Changing Ideas
+
+
+Clients include Orangetheory Fitness, MoonPie, BUSH's Beans, Rolls-Royce, Pernod Ricard, Frito-Lay, Zaxby's
+
+
+
+","Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided.The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing:Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the resultsDevelop the framework and approach for marketing science and develop bespoke offeringsEmploy best in class tooling to develop proprietary Martech in partnership with the Technology and Media practicesIdentify new and innovative data sets that can be used to improve existing modeling work, or deliver net new modelsClearly articulate statistical results to clients, ultimately leading to continued client engagement and implementationWhat you bring:M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research(Optional) Experience in marketing science or advertising analyticsMastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice ModelsStrong competency with python, R, SQL, and other commonly used statistical toolsClient services mindsetAbility to influence clients and partner agencies to act on insightsAbility to distill complicated information into succinct graphical presentations for senior stakeholdersWhy Join Tombras Analytics?Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.Why you’ll want to work at Tombras:You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You’ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.Tombras Benefits:Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly officesUnlimited PTOGenerous parental leave for primary and non-primary caregivers.Medical (PPO or High Deductible option) for employee + dependents401(k) ParticipationEmployer-paid Dental & VisionA company culture of promotions from within and an atmosphere allowing for varied and rapid career development.New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values.Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.Tombras is an E-Verify employer and participates in the E-Verify program.This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.",Not Applicable,Data Scientist
+898,2025-04-04,Wimbledon,London,Harnham,http://www.harnham.com,"Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com 
+
+Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. 
+
+Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.
+
+Our five core services:
+
+* ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a 
+
+* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
+
+* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
+
+* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
+
+* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.","Machine Learning EngineerAI & Cloud OptimizationNew York City – Hybrid$160,000 – $200,000 + Equity & BenefitsWe are working with a venture-backed AI startup redefining how companies manage their cloud costs in an era of explosive AI-driven growth. With billions spent annually on cloud infrastructure—often tracked with outdated tools—this company is building intelligent systems that bring clarity, automation, and financial control to cloud spend. Their platform is already trusted by industry leaders and built for scale across AWS, GCP, and Azure.The Role:This is a hands-on, senior-level position where you’ll drive AI product development from 0 to 1. As a Machine Learning Engineer, you’ll partner closely with the CTO and founding team to design and implement LLM-powered features, forecasting models, and intelligent automation capabilities that directly impact customer outcomes.Responsibilities include:Designing, deploying, and optimizing machine learning models for cloud spend forecasting, anomaly detection, and cost controlBuilding and integrating LLMs to power Agent-style chat interfaces and automation toolsDeveloping secure, scalable ML infrastructure across multiple cloud platformsDriving full-cycle ML projects—architecture, development, deployment, monitoring, and iterationCollaborating with product, engineering, and leadership teams to align AI development with business prioritiesExperimenting with new techniques in generative AI, model optimization, and real-time inferenceRequirements:We’re looking for a startup-minded ML engineer with strong technical depth and a bias toward action. You should have:5+ years of experience in machine learning, AI model development, and infrastructure deploymentFluency in Python, with experience in tools like PyTorch, Hugging Face, LangChain, and TerraformA proven ability to deploy ML models at scale across distributed cloud systemsExperience working with LLMs and open-source models (e.g., Llama, Mistral, Falcon)An understanding of AI security best practices and a commitment to building responsiblyStrong communication skills and the ability to convey complex ideas clearly and confidentlyComfort in high-ambiguity, fast-paced environments where you’ll help define the roadmapBenefits:As a Machine Learning Engineer, you can expect:$160,000 – $200,000 base salaryEquity in a high-growth companyUnlimited PTO and flexible work policyThis is a rare opportunity to shape the future of AI-enabled cloud infrastructure—building real systems, for real users, from day one.",Associate,Machine Learning Engineer
+899,2024-06-12,,,Penn State University,,,"APPLICATION INSTRUCTIONS:CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.JOB DESCRIPTION AND POSITION REQUIREMENTS:The Cyber Innovation, Analytics & Operations Department within the Communications, Information and Navigation Office (CINO) at the Applied Research Laboratory (ARL) is looking for talented, experienced, and highly motivated Data Scientists to assist in providing its customers with state-of-the-art solutions. In this position you will research, develop, and deliver algorithmic, machine learning, and artificial intelligence based approaches to solve complex sponsor problems.You will:Design, develop, and research machine learning systems, models, and schemesStudy, transform, and apply state-of-the-art machine learning prototypes to sponsor specific domains collection and data modelingVisualize data for deeper insightsGenerate and present technical research reports and briefingsPerforming statistical analysis in support of pattern of life and anomaly detectionBuild high quality software prototypes integrated with our various research and pre-production software environmentsThe selected candidates will assume a technical role and will interact with other ARL staff and sponsors, spending a majority of the time working in a classified environment in Annapolis Junction, MD, State College, PA or Reston, VA. Periodic travel to sponsor sites may be required.ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.This position can be filled at multiple levels, depending upon your education and experience. Minimally requires a Bachelor's degree in an Engineering or Science discipline. Additional experience and/or education are required for higher level jobs. A Master's degree is preferred.Additional responsibilities of higher level positions include:Supervise the work of lower level staff and undergraduate studentPerform tasks of a larger scope and lead specific tasks within the project scopeExperience in the following is required:Data science/algorithm developmentData science / Machine Learning languages to include PythonResearch, development and implementation of machine learning modelsExperience in the following is preferred:Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA basedStatistics, linear algebra, and data structuresExploratory data analysis and visualizationData science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, SQL, FastAPISoftware Development tools to include Git, Docker, Kubernetes, SSHActive TS/SCI ClearanceCandidates selected will be subject to a government security investigation. You must be a U.S. Citizen to apply. Employment with the Applied Research Laboratory will require successful completion of a pre-employment drug screen.ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.You will be subject to a government security investigation, and you must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.ARL is committed to diversity, equity, and inclusion; we believe this is central to our success as a Department of Defense designated University Affiliated Research Center (UARC). We are at our best when we draw on the talents of all parts of society, and our greatest accomplishments are achieved when diverse perspectives are part of our workforce.The proposed salary range may be impacted by geographic differential.The salary range for this position, including all possible grades is:$76,700.00 - $129,500.00Salary Structure - additional information on Penn State's job and salary structure.CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.Employment with the University will require successful completion of background check(s) in accordance with University policies.EEO IS THE LAWPenn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.Federal Contractors Labor Law PosterPA State Labor Law PosterAffirmative ActionPenn State PoliciesCopyright InformationHotlinesUniversity Park, PA",Entry level,Artificial Intelligence / Machine Learning Research and Development Engineer
+900,2025-03-28,San Francisco,California,Uber,http://www.uber.com,"We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
+
+The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.","About The RoleUber Marketplace is at the heart of Uber's business, with Rider Pricing & Incentives playing a critical role by setting prices and targeting promotions for Uber riders. Our team's mission is to drive revenue growth, ridership growth and Uber's profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing, real-time and offline promotions, including discounts, and personalized messaging.The Rider Pricing & Incentives team is a fast-moving, high-opportunity space where you'll have the chance to make a significant impact on the business. You'll take ownership of one key pillar of the promotions or rider pricing domain and lead the technical direction for improving our pricing algorithms, promotion algorithms and models. You will work across ML, serving, and optimization system components, and set technical direction for modeling best practices across model building, evaluation and deployment.In this role, you'll apply advanced machine learning technologies-including deep learning, generative AI for personalized communications, causal modeling, and reinforcement learning-to optimize pricing strategies and promotional systems. You will also work with serving infrastructure and product teams to design and evolve the rider pricing and promotions systems to support new product and algorithm evolutions, promotion use cases and drive Uber's top-line rider and revenue growth.What The Candidate Will Need / Bonus Points What the Candidate Will Do Lead a group of SWEs and MLEs working on rider pricing and promotions to develop and implement new machine learning and optimization techniques powering billions of rides around the world, and helping riders achieve their mobility needs.  Improve the performance of models and algorithms powering pricing algorithms and promotion targeting.  Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap.  Mentor more junior team members by role modeling ML best practices. Collaborate with cross-functional teams to ensure alignment and drive Uber's ridership and revenue growth. Help Uber's end-users by making mobility options accessible and affordable.  Basic Qualifications Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 7+ years of full-time engineering experience.  Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go).  Experience with machine learning and optimization algorithms.  Preferred Qualifications PhD in Computer Science, Engineering, Mathematics, or a related field, with 2+ years of full-time engineering experience.  Experience solving complex business problems by translating them into machine learning and optimization solutions.  Familiarity with large-scale data systems (e.g., Spark, Hive) and experience building production-ready algorithmic systems.  Strong background in deep learning, generative AI, causal modeling, and reinforcement learning. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.",Mid-Senior level,Senior Machine Learning Engineer
+901,2025-03-22,San Francisco,California,Tecton,https://tecton.ai,"Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready AI data platform to help companies activate their data for AI applications. 
+
+AI creates new opportunities to generate more value than ever before from data. Companies can now build AI-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. 
+
+But AI models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage AI data. Most companies don’t have access to the advanced AI data infrastructure that is used by the Internet giants. So AI teams spend the majority of their time building bespoke data pipelines, and most models never make it to production.
+
+We believe that companies need a new kind of data platform built for the unique requirements of AI. Tecton enables AI teams to easily and reliably compute, manage, and retrieve data for both generative AI and predictive ML applications. Our platform delivers features, embeddings, and prompts as rich, unified context, abstracting away the complex engineering involved in data preparation for AI. With Tecton, companies can:
+
+1. Productionize context faster, getting new models to production 80% faster
+2. Build more accurate models through rapid data experimentation and 100% accurate context serving
+3. Drive down production costs by turning expensive workloads into highly efficient data services
+
+We believe that by getting the data layer for AI right, companies can get better models to production faster, driving real business outcomes. Tecton enables organizations to harness the full potential of their data, creating AI applications that are contextually aware and truly intelligent.","Tecton helps companies unlock the full potential of their data for AI applications. The platform streamlines the complex process of preparing and delivering data to models. With Tecton, AI teams accelerate the development of smarter, more impactful AI applications.Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.We are building Rift ( talk , blog post ) - a new fully managed compute environment that allows data scientists to construct powerful batch and streaming pipelines in Python. Our new environment leverages popular open-source technologies such as Ray, Arrow, and DuckDB. We also have deep integrations with Spark platforms (Databricks, EMR, Dataproc) and data warehouses (e.g. Snowflake, BigQuery, RedShift), along with performant training data pipelines and a workload orchestration platform.As a senior engineer on the Batch Data team, you’ll play a critical role in architecting, designing, and scaling the core compute engines and storage architecture used by every Tecton customer. You'll contribute to the performance of our query optimizer, from parsing & optimization to plan selection. Think of this team as the “beating heart” of Tecton.This role is a unique opportunity that combines customer-obsessed product focus with platform and data engineering innovation and helps companies accelerate their path to real-time AI. You will be working in one or more of the following areas to build the next generation of Tecton infrastructure: Distributed compute and resource management Query optimization and distributed execution Cross-platform integrations with state-of-the-art data platformsThis position is open to candidates based near our hubs in San Francisco, New York City, and Seattle.ResponsibilitiesOwn and lead significant technical domains starting from the problem definition and technical requirements to implementation and maintenanceLead projects of strategic importance to Tecton spanning cross-functional teams including product management and other engineering teamsDrive efforts to improve engineering practices, tooling, and processes along with mentorship for junior engineersDevelop a deep understanding of the fundamental problems our customers face in building ML systemsBe a generalist as needed. We’re a small, but growing engineering team and each engineer needs to be versatileQualificationsExperience working in large Python, Java, Kotlin, or Go codebases and running cloud-native Spark systems (e.g. AWS EMR, Databricks, GCP Dataproc)Experience in performance tuning of Spark, Ray, Maestro, or Airflow jobsKnowledge of data formats such as Parquet, Avro, Arrow, Iceberg, or Delta Lake and object storage (e.g. S3, GCS)Expertise with cloud-scale query performance, query optimization, query planning, heuristic query execution techniques, and cost-driven optimizationsExperience with internals of distributed systems, SQL/NoSQL databases, data lakes, or data warehousesStrong communication skills and ability to write detailed technical specificationsExcitement about coaching and mentorship of junior engineersBSc, MS, or PhD in Computer Science or related fields8+ years of experience in building product software systems$197,000 - $237,000 a yearThe estimated US base salary range for this position is $197,000 - $237,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.Tecton is a remote-friendly company that employs a hybrid working policy for employees based in the SF, NY, and Seattle areas. We believe that working in-person helps us stay connected, collaborate faster, and promote a strong culture while still providing the flexibility of working from home. We expect SF & NY employees to be in the office at least two designated days per week, and those in the Seattle area at least two designated days per month..Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.",Mid-Senior level,"Software Engineer, Batch Data"
+902,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $137750 - $237500 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Data-Search-TikTok Recommendation - Seattle) - 2025 Start (PhD)
+903,2024-08-03,Princeton,NJ,"AppLab Systems, Inc",http://applabsystems.com,"AppLab Systems has a strong reputation as a Recruitment, Staffing, Healthcare and information technology consulting company. We assist enterprises, organisations and government agencies maximise their corporate information in their database using best in breed, best in class Business Intelligence software solutions.. 
+
+ Our values are integrity, leading change, excellence, and respect for the individual, learning and sharing. Our success is based on our ability to be flexible while adhering to a strict project management methodology. Large and small organisations alike enjoy our personalised, highly responsive customer service ALS Inc. is your partner for a wide spectrum of IT services including Information Systems Strategy Planning, Quality Assurance , Customized Software Solutions, Packaged Software Implementation, Migration, Web Solutions, Porting and Staff Augmentation.
+
+           We have created an environment for our clients resulting in improved efficiency, reduced costs, deliverable ahead of schedule and customer satisfaction.. ALS Inc is a leading information technology (IT) services company that specializes in providing complete consulting solutions and staff augmentation to its clients. We provide on-time, on-budget, quality service to our clients and consistently meet their expectations. We are known for our superior execution on a sustained basis.
+
+      Our Business Intelligence offerings integrate data from various services to power precise analyses - product profitability, detailed customer profiles and spending habits. ALS Inc empowers your decision makers by delivering the information needed to stay ahead in competitive industries. World class analytical expertise, best-of-breed BI package proficiency, rigorous business methodologies - ALS Inc gives the solutions you are looking for..","Machine Learning EngineersLocation: Austin, TX(W2 contract only no C2C/C2H)Job Description.Minimum 6-8 years of experience in machine learning and computer vision, with a proven track record in image processing and analysis.development and optimization of Computer Vision algorithms and Client models Continuously refine Client models to improve accuracyCollaborate with cross-functional teams to integrate AI/Client features into the application.Skill RequirementsProven hands-on experience in Python programming.Proficient in programming languages relevant to AI/Client development ( TensorFlow, PyTorch).Strong proficiency in machine learning concepts and practical application.Familiarity with data analytics packages including pandas, NumPy, and scikit-learn.Intermediate knowledge in statistics for data analysis and interpretation.Ability to create insightful and visually appealing graphs using tools like Matplotlib or Seaborn.Collaborative mindset with excellent communication skills to work effectively in a team.has context menuResponsibilitiesDevelop and maintain Python-based applications, leveraging expertise in Python programming.Implement and optimize machine learning models for data analysis and insights generation.Utilize data analytics packages such as pandas, NumPy, and scikit-learn for efficient data manipulation and processing.Work collaboratively with cross-functional teams to understand business requirements and translate them into technical solutions.Apply intermediate knowledge in statistics to analyze and interpret complex datasets.Create visually appealing graphs and visualizations to communicate findings effectively.",Entry level,Machine Learning Engineer
+904,2025-04-09,Cincinnati,Ohio,ExaTech Inc,http://www.exatechinc.com,"Welcome to Exatech – Your Trusted Partner in Staffing Solutions! 
+
+At Exatech, we are dedicated to addressing both IT and non-IT requirements, specializing in niche areas with the best of the solutions. Our seasoned team of professionals with both expertise and dedication, committed to going the extra mile to ensure client’s success and satisfaction.
+
+Industries We Serve:
+Banking and Financials
+Oil and Gas
+Healthcare and Medical Devices Manufacturing
+Hospitals/Healthcare Facilities
+Aeronautical
+Robotics
+Electronics
+Food and Beverage
+Government
+Water Management
+Automotive
+Steel Manufacturing
+
+Whether you're in need of IT solutions, light industrial support, or healthcare services, Exatech has you covered. Our comprehensive approach and commitment to excellence make us the go-to partner for businesses seeking unparalleled consulting and staffing solutions.","Position : AI/ML EngineerLocation : RemoteNeed 10+ Years Candidates Candidate has worked in product company particularly telecom product company. Need 100% match to the JDI am seeking someone for below role. Role Summary:We are seeking an experienced AI/ML Data Scientist to design, develop, and deploy advanced machine learning and generative AI solutions. This role requires a blend of deep technical proficiency, curiosity for cutting-edge research, and practical experience in production-grade AI/ML systems, including knowledge of LLMs, AI agents, and vector databases.Key Responsibilities: • Build and deploy ML and GenAI models to solve complex business problems across structured and unstructured data • Leverage LLMs (e.g., GPT-4, LLaMA, Claude, Gemini) for use cases such as summarization, classification, chat agents, document understanding, and more • Design and prototype AI agents capable of reasoning, memory recall, task planning, and multi-step workflows • Work with vector databases (e.g., Pinecone, FAISS, Chroma) for semantic search and retrieval-augmented generation (RAG) systems • Collaborate with product, engineering, and data teams to integrate models into real-world applications • Conduct model evaluation, fine-tuning, and prompt engineering for optimization • Stay current with the latest advancements in generative AI, foundation models, and open-source tooling • Create clear documentation and visualizations for communicating technical solutions and results to stakeholdersRequired Qualifications: • Degree in Computer Science, Data Science, Engineering, or a related field • 3+ years of experience in machine learning or AI/ML engineering roles • Hands-on experience with GenAI frameworks and APIs (e.g., OpenAI, HuggingFace Transformers, LangChain, LlamaIndex) • Experience building and scaling LLM-based applications (RAG pipelines, chatbots, agents, etc.) • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) • Solid programming skills in Python and ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn) • Understanding of ML lifecycle, including data processing, training, evaluation, and deployment • Experience with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes)Preferred Qualifications: • Experience designing and deploying AI agents (e.g., Auto-GPT, BabyAGI, CrewAI, OpenAgents) • Exposure to open-source LLMs (LLaMA 3, Mistral, Falcon, etc.) and fine-tuning techniques (LoRA, QLoRA, PEFT) • Familiarity with MLOps tools and workflows (e.g., MLflow, DVC, SageMaker, Vertex AI) • Strong communication and stakeholder engagement skills • Publications or open-source contributions in GenAI/ML is a plus",Mid-Senior level,Machine Learning Engineer
+905,2025-03-28,Worldwide,,"Pyramid Consulting, Inc",https://pyramidci.com/,"Pyramid Consulting, a global leader in workforce and technology solutions, empowers individuals and organizations to transform and thrive in the most challenging and competitive markets. Pyramid Consulting’s award-winning family of brands – Pyramid Talent, Celsior, and GenSpark– operate together to deliver seamless and integrated solutions which benefit our clients and the consultants who serve them. Through the ‘intentionally inclusive’ recruitment of uniquely qualified candidates and teams; the training and upskilling of recent college graduates and organizational talent; and the customized development and management of innovative technology solutions and teams, Pyramid Consulting proves its lasting commitment to the sustainable growth and success of its consultants and clients. Founded in 1996 and headquartered in Atlanta, Pyramid Consulting serves over 125 Fortune 500 companies across most industries with more than 6500 consultants in 25 countries.","Immediate need for a talented Data Scientist. This is a 08+months contract opportunity with long-term potential and is located in Irvine, CA (Hybrid). Please review the job description below and contact me ASAP if you are interested.Job ID: 25-62674Pay Range: $80 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).Key Responsibilities:Diagnose hardware and software problems, and replace defective components.Perform data backups and disaster recovery operations.Install, maintain and administer computer networks and computer hardware, systems software, applications software, and all configurations.Plan, coordinate, and implement network security measures in order to protect data, software, and hardware.Monitor the performance of computer systems and networks.Perform routine network startup and shutdown procedures, and maintain control records.Ensure network performance.Add and remove network access.Maintain an inventory of parts for repair needs.Key Requirements and Technology Experience: Top 3 skills: Machine Learning, Python, SQLProficient in Python and SQLHands-on experience in database technology (Postgres, Redis, ElasticSearch)Familiarity with transformer architectures (SLM, LLM, VLM, Embedding Models)Strong technical acumen and experience architecting Sales Enablement and Customer Success tools and systems.Strong knowledge of industry trends for sales tools and database strategies.Ability to quickly identify root causes of problems and act on those problems in an effective and complete manner.General Knowledge of Client Suite (Sheets, Docs, & Slides), mandatory experience with Salesforce as a user, admin experience desirable.Need to be inquisitive and constantly wondering how we can make the sales cycle faster, more effective, and/or easier to complete.Must be able to work autonomously and make large business impacting decisions confidently. Subject matter expertise in a large variety of additional software applications as well as the business acumen required to apply them to business problems.Bachelor’s Degree PreferredFamiliarity with the Agile framework.Overall understanding of SaaS business processes and experience in implementing solutions to gaps from a technical and/or project management perspective.This role Interacts regularly with Sales and Customer Success Directors, Associate Directors, and Enablement & Operations Leaders. Also interacts regularly with Marketing, Strategy, Legal, Finance, IT, Business Intelligence, Program Management and Sales Compensation leadership.Ability to see the big picture and potential risks of interaction between systems.List degree required and/or preferred along with the number of years of related and total experience. List any certifications, licenses or other specialized requirements.Certifications: Salesforce Administrator or better desired.Our client is a leading Telecommunications Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.",Not Applicable,Data Scientist
+906,2024-09-22,,,Hugging Face,https://huggingface.co,The AI community building the future.,"At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the role:As a Machine learning Engineer, you work mainly on creating great libraries highly focused on real world ML use cases. We're building on top of our open-source to create more specialized code with a focus on industrial level of usage.We are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a progressive, nimble and decentralized approach to develop real-world solutions and positive user experiences at every interaction.Objectives of this role: Develop specialized software for specific machine learning (ML) use cases that have broad applications, similar to [text-generation-inference](https://github.com/huggingface/text-generation-inference).   Utilize existing library frameworks to create scalable software solutions for industrial purposes.   Enhance the reliability, quality, and time-to-market of our software suite. Measure and optimize system performance to stay ahead of customer needs and drive innovation.   Manage the production environment by monitoring availability and ensuring overall system health. We run our own tools About you:If you are a passionate Machine Learning Engineer with a keen interest in AI and proficient with Python, Rust and specialized Cuda kernels Frameworks (transformers of course + Keras or PyTorch), we would love to hear from you. Join our team and contribute to the advancement of AI technologies while working alongside talented professionals in a collaborative and stimulating environment.More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also flexible parental leave and paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.",Mid-Senior level,"Machine Learning Engineer, Fast Optimized Inference - US Remote"
+907,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The App Ads and Gaming team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering application ads on TikTok. Our mission is to push the boundaries of large-scale ads delivery systems and lead the innovations of TikTok's personalized online advertising. Hence, you'll have a chance to get deeply involved in our large-scale distributed systems and state-of-the-art machine-learning algorithms. As a Machine Learning Engineer Intern on the App Ads & Gaming team, you will make efforts to develop novel machine learning solutions for ranking, build scalable foundations, and launch various products that maximize the efficiency of deep funnel app ads delivery.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.SkillsInternships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 . Successful candidates must be able to commit to one of the following summer internship start dates below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23Please state your availability clearly in your resume (Start date, End date).Key Responsibilities Work on developing a large-scale App Ads delivery system to improve accuracy. Explore multi-stage ranking models, conduct data analysis, and develop feature engineering. Participate in the innovations of core App Ads systems using machine learning models, ranking algorithms, etc. Partner with product managers, data scientists, and product strategy & operation team to launch new App Ads, products, and features.QualificationsMinimum Qualifications: Pursuing a BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages, including but not limited to Go, C/C++, and Python. Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics. Curiosity toward new technologies and entrepreneurship.Preferred Qualification Experience with recommender system projects. Experience with applying machine learning methods for ranking.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $45- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (App Ads and Gaming) - 2025 Summer (BS/MS)
+908,2025-04-03,Sunnyvale,California,Cerebras Systems,http://www.cerebras.ai,"Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to accelerate generative AI by building from the ground up a new class of AI supercomputer. Our flagship product, the CS-3 system, is powered by the world's largest and fastest commercially available AI processor, our Wafer-Scale Engine-3. CS-3s are quickly and easily clustered together to make the largest AI supercomputers in the world, and make placing models on the supercomputers dead simple by avoiding the complexity of distributed computing. Cerebras Inference delivers breakthrough inference speeds, empowering customers to create cutting-edge AI applications. Leading corporations, research institutions, and governments use Cerebras solutions for the development of pathbreaking proprietary models, and to train open-source models with millions of downloads. Cerebras solutions are available through the Cerebras Cloud and on premise. For further information, visit www.cerebras.ai
+Join us: https://cerebras.net/careers/","Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. About The RoleAs a Senior Software Engineer in ML Integration and Quality team, you will play a pivotal role in bringing together and delivering all software and hardware components for Cerebras AI platform. You will focus on SW components feature integration and quality. Pre deployment/production validation for Cerebras training and inference solution. As part of this role, you will influence the best testing practice, good debugging methodology, effective cross team communication and advocate for world-class products. ResponsibilitiesDevelop and execute a comprehensive integration and  QA strategy aligned with the roadmap of the Cerebras AI solution.Execute with good software integration methodology, collaborate with effective communication and ensure quality.Break down complex tasks into smaller tasks, be a problem solver and help debug efficiently.Automation of workflows, testbed setups and building tools to monitor/debug.Implement creative ways to break Cerebras software and identify potential problems.Contribute to developing SW specifications with a focus on ML products.Drive quality of various software and hardware components of Cerebras AI platform to ensure accuracy, performance and usability of ML training and inference workloads.Ability to work in a fast-paced environment and make the necessary prioritizations and judgements which affects productivity at a company level.Define and implement quality metrics to measure product and process quality, provide actionable insights and recommendations to drive continuous improvement.Provide regular updates on quality, key metrics, and risks to engineering and business stakeholders.Collaborate with software and product team to develop clear acceptance criteria and deliver quality product.Execute and deliver with strong sense of ownership and quality driven mindset.Skills And Qualifications5+ years of relevant industry experience in Software integration, development or quality.Strong automation and programming skills using one or more programming languages like Python, C++ or go.Experience in testing compute/machine learning/networking/storage systems within a large-scale enterprise environment.Experience in debugging issues across distributed scale out deployment.Experience in understanding complex systems and putting together thorough test-plans.Experience working effectively across teams, including product development, product management, customer operations, and field teams.Excellent verbal and written communication skills.Strong organizational skills, teamwork, and can-do attitude.Clear and detailed documentation skills.Experience working with geographically dispersed teams across time zones.Preferred Skills And QualificationExperience in working with ML workloads such as LLM/Multimodal training or inference.Experience with hardware architecture, performance optimizations, compilers and ML frameworks.Experience working with distributed systems, cloud and security.Experience working with microservices deployment, debugging and orchestration. LocationThis role follows a hybrid schedule, requiring in-office presence 3 days per week. Please note, fully remote is not an option.Office locations: Sunnyvale, Toronto. Why Join CerebrasPeople who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:Build a breakthrough AI platform beyond the constraints of the GPU.Publish and open source their cutting-edge AI research.Work on one of the fastest AI supercomputers in the world.Enjoy job stability with startup vitality.Our simple, non-corporate work culture that respects individual beliefs.Read our blog: Five Reasons to Join Cerebras in 2025.Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.",Mid-Senior level,ML Software Integration & Quality Engineer
+909,2025-04-02,LA,California,BlueCargo,http://www.bluecargo.io,"BlueCargo’s mission is to help people move goods from port to first-mile destination faster, more reliably, and more cost-effectively. 
+ 
+Our vision is a world where everyone at local transportation and logistics companies have the digital tools, data, and services they need to better serve global trade.","BLUECARGOBlueCargo is revolutionizing the freight audit and logistics industry by leveraging technology to automate complex processes and drive actionable insights. Our mission is to bring transparency and efficiency to a traditionally manual space—empowering our customers with data-driven decisions. Join us and help shape the future of logistics!Founded by two female entrepreneurs who graduated from the Y Combinator 2018 batch, BlueCargo has successfully raised a Series A in 2022. We are at the beginning of an exciting growth phase, having already developed product-market fit, a working platform, and hundreds of daily active users.If working to bring technology to the logistics industry sounds exciting, then we’d like to connect with you! We are looking for an experienced Data Analytics Engineer with a startup mindset.Our Current TechTechnical stack: Python / Django (Backend), Javascript (Frontend), AWS services (Lambda, RDS, S3), PostgreSQL (Database), CircleCI and other continuous integration toolsTech team: 12 engineers (+ 5 people in the product team)Location: Los Angeles or New York (hybrid)Mission/ResponsibilitiesOPPORTUNITY OVERVIEW\ In this role, you’ll be at the intersection of data engineering and analytics, transforming raw data into actionable insights that drive strategic decisions and improve our product offerings. You will work closely with our Product, Engineering, and Operations teams to build robust data pipelines, develop insightful dashboards, and support our data science initiatives.Data Pipeline Development:Design, build, and maintain scalable ETL pipelines to integrate data from various sources.Ensure data quality and consistency across our data infrastructure.Analytics & Reporting:Develop, automate, and maintain dashboards and reporting solutions to monitor key performance indicators (KPIs) and business metrics.Perform ad-hoc data analysis and support cross-functional teams with data-driven insights.Collaboration & Communication:Work closely with product and engineering teams to understand their data needs.Translate business requirements into technical solutions and clearly communicate findings to both technical and non-technical stakeholders.Continuous Improvement:Optimize existing data processes to improve efficiency and scalability.Stay abreast of industry trends and best practices in data analytics, data engineering, and visualization.QualificationsIn addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial mindset.Experience: 3+ years in data analytics engineering, data warehousing, or related roles.Technical Skills:Proficiency in SQL and experience with relational databases.Strong programming skills in Python (or similar languages) for data processing and analysis.Experience with ETL tools and data pipeline frameworks.Familiarity with data visualization tools such as Tableau, Looker, Power BI, or Sigma.Analytical Mindset: Ability to turn complex data sets into clear, actionable insights.Collaboration: Excellent communication skills with a track record of working effectively in cross-functional teams.Bonus: Experience with cloud-based data platforms (e.g., AWS, GCP, or Azure) and exposure to machine learning or advanced analytics projects.ClassificationPerks: Medical benefits + unlimited PTOFun perks: flexible and international environmentSupport/Community: Enjoy being a member of a Y Combinator company!",Mid-Senior level,Data Analytics Engineer
+910,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.",,,Artificial Intelligence / Data Scientist Intern (HR)
+911,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok commerce ads team holds a strong advertiser focus and a dedication to technical excellence. We work with advertisers from all verticals, such as E-commerce, Retail, Travel etc, to make TikTok an irreplaceable growth channel for businesses of all sizes and a favorite destination for consumers to discover and purchase products, content, and services. We are on the critical path to delivering TikTok's Ads revenue and working on building the next-generation web ads solution for TikTok.We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.What You'll Do Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization. Explore, develop and experiment with new features to improve model accuracy. Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users. Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.QualificationsMinimum Qualifications: BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with 1+ years of related work experience. Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. Good analytical thinking capability. Have essential knowledge and skills in statistics. Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.). Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism.Preferred Qualifications Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB). Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow). Relevant work or research experiences in search and recommendation.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $112200 - $147000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Entry level,"Machine Learning Engineer, Commerce Ads"
+912,2025-03-11,London,,NJF Global Holdings Ltd,https://www.njf.com,"NJF is a tech-focused company whose by-product is recruitment. Our reputation among many of the world’s leading institutions has resulted in a prolific demand for our services and the continued expansion of our international network. 
+
+NJF’s focus is within the Trading and Technology markets. Our interrelated teams employ rigorous research methodologies to ensure that we are at the forefront of the latest trends in both spheres. Our consultants are devoted to unearthing world-class talent and guiding the right people into the right jobs. 
+
+At NJF, we make the individual our priority. This, in turn, strengthens our comprehensive knowledge of the market and drives our continuous research effort. 
+Along with taking the time to gain a deep understanding of each candidate’s technical skills and market experience, we also get to know them as people. This ensures that our efforts result in a long-term, lasting relationship for both client and candidate. 
+
+Our Trading Practice coordinates the careers of high-performing traders, quants and data scientists across the upper echelons of quantitative managers: hedge funds, proprietary trading organizations and tech firms.
+
+Our Technology Practice has a track record of finding the very best developers and infrastructure experts to build world-class systems and frameworks for high frequency proprietary trading firms, hedge funds and technology start-ups. We recognize that organizations want their staff to reflect the world’s diverse population. We are committed to identifying, attracting and cultivating promising talent from the broadest possible spectrum of professionals. Our continued success has enabled us to build long-standing relationships and to expand our list of contacts in a wide range of communities; this further enhances our ability to deliver. 
+
+London       +44 20 7604 4444 
+New York    +1 212 400 4845 
+Chicago      +1 312 204 7216
+
+Are you looking for a new opportunity? ","Senior Machine Learning (ML) Performance Engineer Austin / Chicago / NYC Our client, one of the world's leading systematic trading firms, is looking to grow their AI offering. This new group will have a pivotal role in the company's future, with this role being responsible for building their Machine Learning infra from the ground-up.They are looking for Machine Learning performance experts who must have the following skills:Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.Deep understanding of computer architectureExperience in programming in C++ and PythonExperience in programming for GPUs or other accelerators such as CUDALinux systems programming experienceLarge-scale distributed trainingIn return, you will work with an amazing peer group that combines Big Tech, Trading & Ivy League alumni. You'll be rewarded with industry-leading compensation and will you have ownership of your projects.If you would like to find out more about this exciting opportunity, please send me your latest resume and I will endeavour to give you a call.",Mid-Senior level,Machine Learning Engineer
+913,2025-04-09,London,London,twentyAI,http://www.twentyai.com,"twentyAI has a vision to unite the power of people, data and technology to transform how organisations grow, scale and diversify. 
+Technology is rapidly evolving, but the talent engagement process hasn't kept up. The challenge is to overcome the increasing complexity of process and compliance whilst still providing a rapid and precise human solution. Many HR tech platforms exist but few can solve these problems. Because recruitment is reliant on people and hiring successfully is immersed in nuance. We are striving to overcome these challenges. twentyAI is powered by data, built for you. ","*We cannot work with employers or utilize C2C for this position*Job Title: Data Scientist (Remote – EST Hours)Type: Contract (4–6 months)Location: Remote (must work EST hours)Department: Data PrivacyA leading financial services organization is seeking a Data Scientist to support critical initiatives within their Data Privacy team. This is a highly collaborative, hands-on role focused on analyzing sensitive data, developing monitoring frameworks, and delivering actionable insights in a highly regulated environment.You’ll be part of a 12-person team, contributing to the protection of confidential information and building out metrics, dashboards, and heatmaps that support data classification and entitlement processes. Ideal candidates have strong technical skills, experience in financial services, and a proactive, detail-oriented mindset.Key Responsibilities:Analyze and interpret complex datasets to generate metrics, dashboards, and intelligence reports tailored to financial services use cases.Design and maintain monitoring processes for data classification and access managementCreate visualizations such as heatmaps and reports to track and report on data privacy compliance.Investigate and resolve findings or exceptions related to sensitive data handling.Work cross-functionally with engineering, data governance, and cybersecurity teams to integrate data science solutions into production workflows.Keep up to date with trends in data science, AI, and financial data privacy best practices.Contribute to the strengthening of entitlements and access controls related to confidential data.Required Skills:5+ years of experience as a data scientist within banking, financial services, fintech, or investment management.Proficiency in Python or R, SQL, and common data science libraries (e.g., Pandas, NumPy, Scikit-learn).Experience with data visualization tools such as Tableau.Strong communication skills, with the ability to convey complex insights to diverse stakeholders.Experience with cloud platforms like AWS, GCP, or Azure.Nice to Have:Background or familiarity with data privacy, information security, cybersecurity, or data governance in the context of financial services or banking.Prior work in environments with strong regulatory or compliance requirements.",Associate,Data Scientist
+914,2025-02-21,San Francisco,,Sardine,https://www.sardine.ai/,"Sardine is the leading AI risk platform for fraud prevention, compliance, and credit underwriting, trusted by enterprises in over 70 countries. Using device intelligence, behavior biometrics, and machine learning, Sardine stops fraud in real time, streamlines compliance, and unifies data across risk teams. Backed by world-class investors and partners including Andreessen Horowitz, Activant Capital, Visa, Experian, Moody’s, and FIS, Sardine is redefining risk management for the real-time economy. Learn more at sardine.ai.","Who we are:We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.Our culture:We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhereWe hire talented, self-motivated individuals with extreme ownership and high growth orientation.We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.About the Role:We are seeking a highly skilled Machine Learning Engineer to lead the development of our device identification and fingerprinting systems. In this role, you will work closely with cross-functional teams to collect and process high-entropy signals from our frontend SDKs, enhance our backend systems, and improve the accuracy and reliability of our device fingerprinting methods.Key Responsibilities:Backend Development: Design, develop, and maintain backend services using Go (Golang) to process and analyze device data.Data Collection Optimization: Collaborate with frontend engineers to refine data collection methodologies using JavaScript and modern browser technologies. Device Fingerprinting: Implement and improve algorithms for device identification using high-entropy signals and probabilistic matching techniques.Data Analysis: Handle large datasets to extract insights and improve matching accuracy.Browser and Technology Monitoring: Stay up-to-date with changes in browser behaviors, APIs, and security features that may impact data collection and fingerprinting methods.Machine Learning Integration: Apply machine learning models where appropriate to enhance device recognition and handle uncertainty.Security and Compliance: Ensure all systems and processes comply with relevant privacy laws and industry best practices.Performance Optimization: Identify bottlenecks and optimize system performance for scalability and reliability.Documentation and Mentorship: Document system designs and processes. Mentor junior team members and promote best practices within the team.Required Qualifications:Minimum of 5 years of professional software engineering experience.At least 3 years of experience in backend development, preferably with Go or a similar language.Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Experience with data processing frameworks and handling large-scale datasets.Experience with machine learning techniques, statistical analysis, or probabilistic modeling to improve device identification reliability and accuracy. Familiarity with Python-based data science tools and libraries (e.g., NumPy, pandas, scikit-learn) is a plus.Familiarity with relational and non-relational databases.Strong problem-solving abilities and analytical thinking.Excellent communication skills, both written and verbal.Ability to work collaboratively in a team environment.Self-motivated with a passion for continuous learning and improvement.Preferred Qualifications:Security Expertise: Understanding of cybersecurity principles, especially related to device identification and fraud prevention.Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure.DevOps Skills: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.SQL Proficiency: Strong SQL skills to query, analyze, and validate data effectively, especially for large-scale datasets.Additional Considerations: Knowledge of JavaScript and familiarity with modern browser APIs, especially in the context of high-entropy data collection for device fingerprinting.Compensation:Base pay range of $180,000 - $220,000 + equity with tremendous upside potential + Attractive benefits.The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.Benefits we offer:Generous compensation in cash and equityEarly exercise for all options, including pre-vestedWork from anywhere: Remote-first CultureFlexible paid time off, Year-end break, Self care days offHealth insurance, dental, and vision coverage for employees and dependents - US and Canada specific4% matching in 401k / RRSP - US and Canada specificMacBook Pro delivered to your doorOne-time stipend to set up a home office — desk, chair, screen, etc.Monthly meal stipendMonthly social meet-up stipendAnnual health and wellness stipendAnnual Learning stipendUnlimited access to an expert financial advisoryJoin a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.",Mid-Senior level,Machine Learning Engineer
+915,2025-04-01,Denver,Colorado,AIQ.com (Alpine IQ),https://aiq.com,"AIQ powers seamless customer loyalty and engagement. We help businesses of all sizes turn their data into personalized experiences across every channel, from email and SMS to loyalty apps and shopping experiences. Our platform is designed to grow your customer relationships, drive repeat business, and increase revenue—all while making it simple and enjoyable.","About Alpine IQAIQ, also referred to as Alpine IQ, was established in 2019 with a clear vision: to revolutionize customer data compliance within heavily regulated industries.Over time, our tool naturally evolved into a comprehensive suite of products designed to address a variety of critical challenges faced by retailers. Our solutions empower businesses to streamline core operations and make informed decisions with ease, eliminating the uncertainties around customer demographics and preferences.We cater to organizations of all scales, from small family-owned enterprises to large publicly listed corporations, ensuring that our solutions are accessible and beneficial to businesses of every size.About The RoleWe’re looking for a Front End Software Engineer (Level 2) to join our fully remote engineering team. In this role, you’ll be hands-on with coding and debugging, collaborating closely with our product and engineering teams to build new features and improve existing ones across both web and native apps.You’ll take ownership of your work from ideation to deployment, and be an active contributor to a high-performing team. We're looking for someone who thrives in a fast-paced environment, is passionate about clean, maintainable code, and enjoys solving tough technical problems.This is a great opportunity for an experienced front-end engineer who wants to grow their impact, mentor junior engineers, and contribute meaningfully to a product with real-world reach.What You’ll DoBuild & Ship: Write high-quality, scalable code for new features across web and native platforms.Maintain & Improve: Refactor and optimize legacy code for better performance and reliability.Troubleshoot: Diagnose and resolve bugs and technical issues quickly and efficiently.Collaborate: Work closely with fellow engineers and product managers to design, scope, and implement new features.Mentor: Support and coach junior engineers through code reviews and knowledge sharing.Innovate: Stay current with emerging front-end trends and suggest ways to improve tooling and workflows.What Success Looks LikeYou're writing clean, well-tested JavaScript/TypeScript code using React and React Native.You're proactively identifying and resolving performance bottlenecks and bugs.You collaborate effectively across teams and communicate clearly.You're mentoring others and contributing to a healthy, inclusive engineering culture.You’re delivering features that align with both technical and product goals.Required SkillsWhat We’re Looking ForStrong proficiency in JavaScript and TypeScriptDeep experience with React and React Native (via Expo)Comfortable consuming and working with REST APIsFamiliar with modern testing frameworks such as Jest, Cypress, and Testing LibraryKnowledge of Git and version control best practicesAbility to write clean, maintainable, and testable codeAwareness of security best practices in software developmentExperience with performance optimization for front-end applicationsBonus SkillsFamiliarity with Next.js and VercelBackend development experience in Go or Node.jsScripting experience (Python, Bash, etc.)Containerization knowledge with tools like DockerExperience collaborating with design teams using FigmaExperience & Education3+ years of hands-on experience as a software engineerBachelor’s or Master’s degree in Computer Science or related field (not required)Why You’ll Love Working Here100% remote team – work from anywhere within the U.S.Collaborative and supportive engineering cultureOpportunities to grow your skills and shape our technical directionMeaningful work with a product that impacts thousands of userReady to apply?If you're excited about building great front-end experiences and want to be part of a driven, remote-first team, we’d love to hear from you.You will need to complete an assessment to be considered for this role. Follow this link:  https://app.testgorilla.com/s/f2ii1rc0The Pay Range For This Role Is110,000 - 120,000 USD per year(US)",Mid-Senior level,Software Engineer
+916,2025-04-04,Redwood City,CA,GoFundMe,https://gfme.co/homepage,"There are a billion good intentions tucked inside each and every one of us. At GoFundMe, we believe that the impulse to help a person, fix a neighborhood, or change a nation should never be ignored. In fact, it should be shared with the entire world. 
+That’s why we make it easy to inspire the world and turn your compassion into action. By giving people the tools they need to capture and share their story far and wide, we have built a community of more than 200 million donors and helped organizers raise over $15 billion for the causes important to them—and we are just getting started. 
+
+Check out current job openings, join our team, and be a part of the change below.
+
+##
+
+GoFundMe has assembled one of the best management teams in the business to build the next leading consumer Internet company, including leaders from LinkedIn, Groupon, and Google. We are also funded by some of Silicon Valley’s best venture capital firms, including Accel, Greylock, and TCV.","Want to help us help others? We’re hiring!GoFundMe is a global community of over 150 million people who come together every day with the common purpose of helping one another. Our mission is to help people help each other through our best-in-class technology. In 2022, GoFundMe joined forces with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, we have empowered people and organizations to raise more than $30 billion since 2010. Our vision is to become the most helpful place in the world.Join us! The GoFundMe team is searching for our next Senior ML Engineer to help design and implement our next generation of machine learning and generative AI-based services. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business.Candidates considered for this position will be located or willing to relocate to San Francisco, CA. This is a hybrid role with expectations to go into the SF office 3x per week.The Job…Lead the development, design, and maintenance of cutting-edge LLM-based applications, ensuring the translation of generative AI research into production-ready technologies.Lead prompt engineering initiatives for LLM-based applications, working closely with product managers and non-technical stakeholders to optimize model performance and meet quality benchmarks.Design and deploy orchestration and evaluation frameworks to ensure high-quality, low-latency generative AI solutions, optimizing performance and reliability for large language models.Design and develop scalable, efficient machine learning training and inference pipelines, ensuring seamless integration with existing production systems and adherence to best engineering practices.Support operational excellence by participating in initiatives to streamline machine learning workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our ML projects and systems.Collaborate closely with ML engineers and cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to foster a culture of collaboration, scientific inquiry, continuous learning, and drive the successful implementation of machine learning projects.Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems.You…4+ years of hands-on experience in machine learning, data science, or related fields, with a strong emphasis on practical engineering applications and deploying robust solutions into production environments.Extensive experience with large language models (LLMs), including fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), and deploying LLMs in user-facing products.Experience designing, developing, and deploying end-to-end machine learning systems, including data pipelines, model training and serving, and monitoring solutions.Demonstrated ability to guide projects and foster a collaborative and high-performing work environment that values continuous improvement and knowledge sharing.Ability to break down complex projects, effectively scope and sequence work, and manage timelines to ensure the timely and successful delivery of machine learning initiatives.Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.A sense of humor is optional but appreciated.Why you’ll love it here...Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, and commuting, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.Community Engagement: Make a difference through our volunteering and Gives Back programs.We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.The total annual salary for this full-time position is $128,500 - $192,500 + equity + benefits. Salary is based on experience and qualifications.If you require a reasonable accommodation to complete a job application, a job interview, or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com.Global Data Privacy Notice For Job Candidates And ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you agree to our use and processing of your data as required.Learn More About GoFundMeFor recent company news and announcements, visit our Newsroom.",Mid-Senior level,Senior Machine Learning Engineer
+917,2024-11-04,Denver,Colorado,"Havenly Brands (Havenly, Interior Define, Burrow, The Citizenry, The Inside, and St. Frank)",https://havenlybrands.com/,"Open the door to better living. Havenly Brands is on a mission to redefine how people shop for home. Bringing together best-in-class home brands with inspired and accessible interior design services, Havenly Brands is the modern destination for all things home.","At Havenly Brands, we believe that everyone deserves a beautiful home they love. Founded and headquartered in Denver since 2014, we've grown into the #1 interior design service in the country.We believe home is a place for personal expression – a place that can inspire, comfort, delight, and work hard for you. We believe that a home should be livable, not precious; distinctive, not bland; beautiful, but attainable. That's why we're bringing together best-in-class home brands alongside innovative designer services to offer unprecedented access to personal, inspiring design. We're building this generation's premier destination for all things home.Alongside our award winning design services, we proudly own and operate some of the best home furnishings brands in the business including Havenly, Interior Define, The Inside, St. Frank, and The Citizenry. Our family of brands is growing and we're looking for amazing people to join us on this journey!We are seeking a highly skilled and versatile individual to join our team as a Machine Learning Engineer. This role is pivotal in leveraging our proprietary data to drive the development of data-driven tools and enhance user experiences across our portfolio of interior design and ecommerce brands. The ideal candidate will be a thought partner to the business, possessing a deep understanding of both data science and machine learning techniques to identify opportunities, improve processes, and implement innovative solutions.What you'll do:Research and apply advanced data science and machine learning techniques to tackle challenges such as building recommendation systems, enhancing chat workflows, generating images, extracting features from unstructured data, predicting trends, and more.As part of an agile team, work to identify opportunities to leverage our proprietary data to build data driven tools and experiencesDevelop, train, and deploy machine learning models, aimed at enhancing customer experiences and reinventing designer workflowsConduct exploratory analysis to identify opportunities for developing new featuresEngage in data engineering tasks, including accessing, transforming, modeling, and storing data, to facilitate machine learning training and feature developmentWhat you'll bring:Experience deploying machine learning models to production environments on cloud service providers (preferably GCP/AWS)Proficiency in Python and experience with machine learning frameworks such as Tensorflow, Keras, and Scikit-learn.A strong understanding of Neural Networks and their applicationsStrong understanding of SQL and experience working with data warehouses such as Snowflake or BigQuery.Experience with image processing in ML modelsDemonstrated ability to perform data engineering tasks, including data access, transformation, modeling, and storage, to enable machine learning pipelinesSolid foundation in machine learning, statistics, and data analysis.Innovative mindset with the ability to identify and pursue opportunities for the application of machine learning and data science methods.Excellent communication skills, with the ability to work as a thought partner to various stakeholders across the business.A Masters degree in statistics, computer science, economics, mathematics, or a related field, or 5+ years of related work experienceThis role is designed for a dynamic individual who thrives in a fast-paced environment and is passionate about making a tangible impact through the power of data science and machine learning.Additional Details:This is a full-time remote exempt position. Denver candidates have the option to work hybrid.Targeted compensation range for this role: $160-$190/year, dependent upon experience.Our total rewards package includes competitive compensation, generous PTO, volunteer days off, health benefits (Medical, Dental, Vision, Disability), 401K, paid Parental leave, and Fertility benefits. In addition, we offer free design services, furniture discounts, and merchandise credits.Havenly is an Equal Opportunity Employer. Havenly's employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basis. We are NOT able to provide work sponsorship at this time.As a company, our goal is to make everyone feel good at home and that starts right here, at Havenly HQ. We celebrate our differences and encourage everyone to bring their true selves to work each and every day. Throughout the journey of each of our team members, as a company, we take pride in and commit to ensuring that everyone feels valued, heard, welcome and has equal opportunity to thrive. With the above stated, Havenly is committed to cultivating a diverse and inclusive team. We are open to candidates of all backgrounds and encourage you to apply if interested.",Entry level,Machine Learning Engineer
+918,2025-04-02,Columbus,Ohio,Path Robotics,https://www.path-robotics.com,"Path Robotics was founded by brothers Andy and Alex Lonsberry with a desire to help fill workforce gaps in the manufacturing industry. 
+
+At Path Robotics, we understand manufacturers are constantly being asked to do more with less; more reshoring, more demand, and more requirements with less time, less talent, and less tolerance. We’re helping guide the Fourth Industrial Revolution in manufacturing by providing robotic support to help keep up with those challenges. Our welding robots absorb high-volume, repetitive tasks by leveraging AI and machine learning.  By doing this, we’re putting humans in safe, productive environments that allows manufacturers to increase productivity and grow their business.","Build the Path ForwardAt Path Robotics, we’re attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.Manufacturing demands exceptionally high performance. We're developing intelligent robots to address the long-tail challenges in this industry. This has been a longstanding challenge that traditional robots have been unable to overcome. We are seeking a Senior Machine Learning Engineer with expertise in video generation, neural simulators, large-scale model training, and foundational model development, with a strong understanding of robotics and software engineering. Your expertise will help bring AI-driven robotic capabilities to life, enabling intelligent and adaptive machines.This role can be located in our Columbus, Ohio Headquarters or Remote.What You’ll DoGive our robots a world model where they can learn and imagine. Develop a multimodal neural simulator for manufacturing tasks. Full stack AI engineering including but not limited to data pipelines, model training, and model deployment. Design, train, and optimize large-scale models from scratch for robotic perception and control.Stay up to date with advancement generative AI to improve the fleet performance.Who You AreBuilt and deployed modern AI robotics systems in an industry setting.You have projects related to neural simulators and world models.Experience with training video generation models.Experience with training large models and relevant tooling and infrastructure.5+ years of experience in machine learning, deep learning, and robotics applications.Strong software engineering skills with expertise in Python and ML frameworks (JAX, PyTorch, TensorFlow).Contributed to open-source projects or publications in top-tier robotics/ML conferences.Who We AreAt Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.Why You'll Love It HereFree lunch every dayFlexible PTOMedical, Dental and Vision insurance with 100% coverage on monthly medical premiums for you and any dependents on select plans6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the birthing parent (12-14 weeks total)401K through EmpowerPaid Referral Bonus",Mid-Senior level,"Senior Machine Learning Engineer, Neural Simulator"
+919,2025-04-02,,,Stanford University,,,"The Stanford Center on Early Childhood, an initiative of the Stanford Accelerator for Learning, seeks a full time Data Scientist to join the RAPID Survey Project team. The Data Scientist will manage and oversee analyses of all data collected by the RAPID Survey Project, designing innovative methodologies and identifying opportunities for timely analyses to maximize the use and impact of the RAPID datasets. The person in this role will provide mentorship and guidance to the RAPID Data Analysts.Note: This position is a 1-year fixed term appointment that may be renewed based on performance and funding. This position is eligible for a remote work agreement and travel is required for convenings and events. Interested applicants should submit a resume and a cover letter describing why they are interested in this position at this stage of their career. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position.About UsHoused at Stanford Graduate School of Education, the Stanford Accelerator for Learning is the first university-wide initiative connecting scholars across disciplines and with external partners to bridge research, innovation, practice, and policy, and bring quality scalable and equitable learning experiences to all learners, throughout the lifespan. The Stanford Accelerator for Learning focuses on learning challenges most in need of new discoveries, evidence, and solutions and where we believe Stanford can make the most difference. Those include: adult & workforce learning, digital learning, early childhood education and development, equity in learning, learning differences, and policy & systems change.The Stanford Center on Early Childhood (SCEC) is an initiative of the Stanford Accelerator for Learning. The SCEC leverages the current moment of revolutionary science and fosters deep omnidirectional collaboration across sectors, seeking to change the way that research in early childhood is conducted, communicated, and utilized, with the overarching goal that each and every child thrives from the start.Position SummaryRAPID began as a program of two national surveys of households with children under age 6 and the child care workforce. Led by Philip Fisher, Stanford Center on Early Childhood Director, the RAPID National Survey administers monthly surveys on a rapid-cycle schedule, and has collected data from more than 20,000 households and 12,000 child care providers in all 50 states. The survey and data inform policy, advocacy, academic, parent and practitioner audiences on the experiences, challenges, and strengths of parents of young children and child care providers. The goal is to support parent- and provider-driven policies and programs that equitably and effectively serve families, providers, and young children.RAPID is now implemented in community, state, and national contexts, working in partnership with local organizations and launching oversampling efforts in several states. The RAPID datasets are extensive and quickly growing, and include both quantitative and qualitative data.The person in this role will have responsibility for overseeing and optimizing the analysis and use of RAPID data. The Data Scientist will propose analyses of RAPID survey data, including to identify and pursue relevant and timely findings that may not have been previously explored, and will be a resource in the production of data dissemination products, such as visualizations, fact sheets, and data briefs. The successful candidate will bring extensive methodological experience, technical skill with analysis tools and software, and content knowledge in early childhood development, education, policy, and/or advocacy. The person in this role must be an enthusiastic and communicative collaborator, as this role will interface directly with team members across RAPID and the SCEC, as well as with external collaborators, partners, and advisors. This team member will provide oversight of work product but will not directly supervise staff. This team member will work under the direction of the Director of the RAPID Survey Project and in collaboration with RAPID Program Managers.Independently and with minimal supervision, the Data Scientist will bring creativity and flexible thinking to analyses of RAPID data. The successful candidate will have a demonstrated ability to tailor analyses, visualizations, and tools to meet the needs of different contexts.The Data Scientist will provide mentorship and guidance to the RAPID team of data analysts, who are supervised by RAPID Program Managers, and will regularly review the work product of those analysts. This role will be supervised by the Director of the RAPID Survey Project.Core DutiesLead and own RAPID-wide data initiatives (e.g. models, frameworks, platforms, dashboards).Guide, coach and mentor a high performing team of analysts.Identify, leverage and partner with external stakeholders.Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor compliance with processes that ensure high-quality data.Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.Serve as a resource for non-routine inquiries such as requests for statistics or surveys.Provide documentation based on audit and reporting criteria to investigators and research staff. Minimum RequirementsEducation & Experience:Bachelor's degree and five years of relevant experience or combination of education and relevant experience.Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills And AbilitiesContent expertise in early childhood, education, policy, and/or advocacyExcellent communication skillsAbility to coach and mentor analystsAbility to work in a matrixed team environment, collaborating both with peers with leadership responsibilities, senior leadership and junior team membersDesired QualificationsDoctoral degree or equivalent in relevant fieldAdvanced methodological, statistical, and analytic skillsFlexible and creative thinking about data analysisExperience working with large data sets to identify new topics and approaches for analysisExperience working with a geographically distributed teamExperience with survey research Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.Physical RequirementsSitting in place at computer for long periods of time with extensive keyboarding/dexterity.Occasionally use a telephone.Rarely writing by hand.Working ConditionsSome work may be performed in a laboratory or field setting.Work StandardsInterpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.The expected pay range for this position is $91,609 to $141,317 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.Why Stanford Is For YouImagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.A caring culture. We provide superb retirement plans, generous time-off, and family care resources.A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.Discovery and fun. Stroll through historic sculptures, trails, and museums.Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more!We pride ourselves in being a culture that encourages and empowers you.The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu. For all other inquiries, please submit a contact form.Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.How To ApplyWe invite you to apply for this position by clicking on the “Apply for Job” button. To be considered, you must submit a cover letter and résumé along with your online application.Finalist must successfully complete a background check prior to working at Stanford University. This is a fixed-term position with an end date of one year and is renewable based on performance and fundingCandidates must be eligible to work in the US. Visa sponsorship is not available for this position.",Entry level,Data Scientist
+920,2025-04-02,San Francisco,California,Pinterest,https://www.pinterest.com/,"Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 550+ million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments. ","About PinterestMillions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.What You’ll DoBuild cutting edge technology using the latest advances in deep learning and machine learning to personalize PinterestPartner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areasUse data driven methods and leverage the unique properties of our data to improve candidates retrievalWork in a high-impact environment with quick experimentation and product launchesKeeping up with industry trends in recommendation systems What We’re Looking For 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)Nice to have:M.S. or PhD in Machine Learning or related areasPublications at top ML conferencesExpertise in scalable realtime systems that process stream dataPassion for applied ML and the Pinterest productRelocation Statement:This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.Information regarding the culture at Pinterest and benefits available for this position can be found here.US based applicants only$129,818—$267,272 USDOur Commitment To InclusionPinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.",Mid-Senior level,"Machine Learning Engineer, Core Engineering"
+921,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAbout the TeamThe Marketing Data Science team, part of Marketing Insights & Analytics, is a critical business partner to Global Brand & Communications and Global Marketing. We bridge technical rigor with business strategy, delivering data science solutions that drive marketing efficiency and impact. About the RoleYou will join a team that is responsible for marketing revenue modeling, campaign measurement, and deep-dive analyses to uncover market opportunities. We focus on building, expanding, and automating data science capabilities, influencing top-line budget allocation and shaping TikTok’s marketing strategy at scale.Responsibilities- Bridge technical expertise with business needs by designing scientifically rigorous experiments and translating complex findings into actionable insights for non-technical stakeholders.- Design, conduct, and analyze A/B experiments to optimize marketing campaign performance and guide strategic decision-making.- Develop and maintain reporting dashboards and data pipelines to improve efficiency, enhance cross-organizational synergy, and streamline internal workflows.- Partner closely with marketing and cross-functional teams (research, insights & analytics, product, operations) to improve internal tool alignment and automation.- Define and implement key marketing measurement frameworks, proactively identifying opportunities to improve campaign effectiveness through data-driven insights.- Develop audience targeting strategies based on data science methodologies to enhance marketing precision and impact.- Develop knowledge of marketing strategy and experimentation best practices to expand analytical capability and business impact.- Support marketing research by applying advanced analytics to answer critical business questions and uncover market opportunities.- Influence stakeholders and drive impact without formal authority by leveraging data-driven insights and strategic recommendations.QualificationsMinimum Qualifications- Experience applying scalable analytics solutions in a marketing or growth-related environment.- Strong communication and presentation skills, with the ability to influence decision-making.- Experience working with cross-functional teams, including engineering and product teams, to develop automated solutions.Preferred Qualifications- Familiarity with advanced marketing measurement techniques, such as attribution modeling, incrementality testing, and meta-analysis.- Strong expertise in hypothesis testing, A/B testing, and causal inference methodologies.- Proficiency in SQL and Python or R for data analysis and pipeline development.- Experience designing, maintaining, and optimizing reporting dashboards and data pipelines. - Proven ability to analyze metric movements, identify drivers, and derive insights.- Experience working with non-technical stakeholders, translating data findings into strategic recommendations.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​​Diversity & Inclusion​TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request​Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $140000 - $195000 annually.​Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​For Los Angeles County (unincorporated) Candidates:​Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:​1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​3. Exercising sound judgment.​",Mid-Senior level,"Data Scientist, Marketing Insights and Analytics"
+922,2025-03-07,New York,NY,Bask Health,https://Bask.Health,"Bask, the platform for telehealth, is a compliant, everyone accessible, no-code, software to launch and scale a direct-to-consumer telehealth business. By default, we provide electronic medical records (EMR), payment processing, pharmacy fulfillment and compounding, a website builder, and a patient management system. We are the Shopify for E-Prescribing. ","As a engineer at Bask you will work directly with the CEO and CTO to build and design the software infrastructure that will serve as the backbone of telehealth.We are looking to expand our software engineers, seeking those with deep rooted entrepreneurial spirit.Our serverless platform is built using Next.js, Drizzle and SST for a powerful multi-tenant application.It is important to be fluent in these frameworks, with Typescript and Three.js being a must.What You'll Do Design, build, and implement new services through the full development cycle: write elegant, well-tested code in a modern technology stack. Build libraries and frameworks that can help us build quickly and efficiently, and deliver value to our users Work closely with the product team: make architecture and design decisions, participate in stand-ups, code reviews, and retros, and help contribute and drive the engineering culture that focuses on simple, intuitive, high-impact experiences Be an engineering generalist: from developing servers and databases, to integrating APIs to expand our platforms capabilities, to final Ul implementation, to you'll have the opportunity to take end-to-end ownership and responsibility across the full development lifecycle Build from 0 to 1: You'll have the opportunity to both scale and automate existing services while also bringing new innovations to life. This is unique opportunity to help join a team where you'll be able to both build rapidly, and also contribute to product strategy and development!We are a highly collaborative team.RequirementsWho We're Looking ForThe ideal candidate is a full-stack generalist, and has experience taking a product from 0-1 product. We're looking for someone who's entrepreneurial and willing to roll up their sleeves to get the work done, and passionate about our mission to build a platform that will intensely disrupt the healthcare industry. You are dangerous on the frontend of the stack You are a highly skilled dev (React, TypeScript, Next.js, Three.js) You also have backend skills (SST, Drizzle, SQL, Node) You can work independently and are comfortable owning entire projects and or large areas of the code base Strong experience in building paid products and services is preferred You are a strong communicator - you are able to clearly articulate technical problems, constraints and timelines You are comfortable working in a fast-paced, unstructured, startup environment",Entry level,Front-End Software Engineer
+923,2025-04-09,,,Venus Labs,http://venus.io,"Venus Protocol (“Venus”) is an algorithmic-based
+money market system designed to bring a complete decentralized
+finance-based lending and credit system onto Binance Smart
+Chain. ","Launched in 2020, Venus Protocol (a.k.a. “Venus”) pushed the edges of decentralized finance through its composition of two pre-existing solutions and deployment on BNB chain, lowering the barrier to entry for millions of new users around the globe. By combining the stablecoin minting facility introduced by Maker and algorithmic money markets developed by Compound, Venus simplified the user experience and provided core capabilities that enabled decentralized finance to flourish in a single application. As a result, Venus found remarkable success and quickly rose to be one of the most widely used decentralized applications in web3.Job Responsibilities:Run SQL queries and Python data science scripts to build business reportsSource data from disparate sources, including SQL databases, graphQL APIs, and blockchain nodesCreate reports highlighting key metricsCollaborate with team leaders on business strategies and determining OKRsAssist developers in implementing data collection and analysis tool improvementsIdentify and advocate for team-wide areas of improvement and best practicesJob Requirements:Job Requirements:Advanced Degree in Computer Science, Mathematics, Statistics, Engineering, Physics, or Economics3+ years of experience in a similar role with at least 2 years working on a chainPrior experience generating insights across protocol risk management, Tokenomics, or mechanism designCapable of building predictive analytics, forecasting, or statistical modelingFinancial analysis experience affecting decisions regarding millions or billions of dollars in assets or investmentsAdvanced to expert SQL skillsModerate to advanced Python data science skillsKnowledge of EVM based blockchains and smart contract mechanicsGood to have:Experience with DeFi architectureExperience with GraphQLExperience with SolidityExperience with cadCAD, or other systems modeling programs",Not Applicable,Quant / Data Scientist
+924,2025-04-03,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The OpportunityThe Model Observability & Lifecycle Management team’s centralized MLOps platform multiplies the productivity of both the Machine Learning Platform (MLP) organization and all ML researchers across Netflix. We maintain the reliability of ML applications by building systems to catch and diagnose issues as soon as possible, sometimes before they even happen!The Build and Release (B&R) group within OLM is building a novel monorepo environment to provide build, testing, CI/CD, and developer tooling for our ML engineers and researchers. Engineers enjoy standardization in build toolchains, dependency management, runtime version migrations, and documentation tooling, allowing them to focus on their work, not wrangling their tools.We are seeking strong build engineers with experience with B&R best practices at scale. Our work supports B&R operations for our most critical applications, such as real-time inference services, feature computation and serving, ML model representations, and much more. You’ll play a foundational role in establishing the practices used by hundreds of engineers and ML researchers across dozens of use cases. Our team is small and growing, so you’ll mentor incoming B&R engineers as they grow into their roles supporting our organization.To be successful in this role, you must have a strong software engineering background, a keen sense of software design, and experience operating large CI/CD systems.Snapshot Of Projects You May Work OnHelp make foundational technology decisions with an eye toward large-scale repository management. Define best practices for large-scale monorepos, influencing how hundreds of engineers work daily. Anticipate and prepare for scaling opportunities as our repository grows beyond the capabilities of existing tools, such as build time reductions, flaky test handling, build tool migrations, and more. Onboard existing repositories as they enter the monorepo, including harmonizing their homegrown toolchains with our standardized offers. Expand B&R support to accommodate new languages. We currently support Java and Scala, and are expanding to Python. Support teams with company-wide migrations and version upgrades, such as build and runtime environment versions and library versions. Work alongside company-wide build experts to incorporate existing company-wide tools into our environment. Create measurement harnesses to measure build performance, mean time to failure, and other critical developer velocity metrics. We Would Love To Work With You IfYou have at least four years of experience directly managing build, CI/CD, and release tooling, preferably in a monorepo context in which these offerings are provided as a service You have proficiency in managing large projects in Gradle as well as cross-language build tools such as Bazel or Pants You have experience developing build and release operations for large repositories featuring dozens to hundreds of independent but interlinked projects You have extensive experience with Java and/or Python B&R methodologies You have a passion for evolving B&R best practices in response to empirical performance and developer velocity measurements Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $558,000KNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.Netflix has a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Software Engineer L5, Build and Release Tools, Machine Learning Platform"
+925,2025-04-04,Knoxville,TN,Tombras,http://www.tombras.com,"Tombras is a 450+ person, full-service agency with a digital mindset. We are one of the top independent agencies in North America. We are united by our philosophy: Connecting Data & Creativity for Business Results.®
+
+
+2023 AdAge A-List Standout 
+2022 ADWEEK US Agency of the Year (Finalist)
+2021 Fast Company World Changing Ideas
+
+
+Clients include Orangetheory Fitness, MoonPie, BUSH's Beans, Rolls-Royce, Pernod Ricard, Frito-Lay, Zaxby's
+
+
+
+","Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided.The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing:Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the resultsDevelop the framework and approach for marketing science and develop bespoke offeringsEmploy best in class tooling to develop proprietary Martech in partnership with the Technology and Media practicesIdentify new and innovative data sets that can be used to improve existing modeling work, or deliver net new modelsClearly articulate statistical results to clients, ultimately leading to continued client engagement and implementationWhat you bring:M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research(Optional) Experience in marketing science or advertising analyticsMastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice ModelsStrong competency with python, R, SQL, and other commonly used statistical toolsClient services mindsetAbility to influence clients and partner agencies to act on insightsAbility to distill complicated information into succinct graphical presentations for senior stakeholdersWhy Join Tombras Analytics?Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.Why you’ll want to work at Tombras:You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You’ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.Tombras Benefits:Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly officesUnlimited PTOGenerous parental leave for primary and non-primary caregivers.Medical (PPO or High Deductible option) for employee + dependents401(k) ParticipationEmployer-paid Dental & VisionA company culture of promotions from within and an atmosphere allowing for varied and rapid career development.New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values.Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.Tombras is an E-Verify employer and participates in the E-Verify program.This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.",Not Applicable,Data Scientist
+926,2025-04-03,Mountain View,California,Applied Intuition,https://www.appliedintuition.com,"Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines.
+
+Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market.
+
+18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo.","About Applied IntuitionApplied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: this is not applicable for EpiSci roles).About The RoleWe are looking for a software engineer to join our team working on the incorporation of modern machine learning approaches into production-grade sensor simulation. In this role you will work with our research team to apply state of the art approaches to model worlds and sensors such as Lidars, Radars and Cameras. While experience in machine learning is required, candidates with a background in perception or other relevant physics or graphics fields are encouraged to apply.At Applied Intuition, you will:Drive research and development of incorporation of generative and other machine learning techniques into our sensor simulator.Work closely with rendering and physics-based modeling teams in building novel approaches fusing the best of all techniques.Focus on projects with clear path to production value and customer impactWe’re looking for someone who has:3+ years of experience building software components or (sub) systems that address real-world machine learning challengesA passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systemsHands-on experience with more than one domain relevant software frameworks or tools, such as middleware, benchmarking suites, data sets and related pipelines, or common AI librariesDeep understanding of machine learning foundations who can apply various techniques to new problemsExperience working with production level ML and DL perception algorithmsNice to have:Experience working with Lidar, Radar, or Camera data using modern approaches to perception MSc or PhD in computer science with a focus on artificial intelligence or closely related fieldDeep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, deep learning, generative modeling, distributed systemsExperience building and shipping software frameworks or toolsCompensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $222,000 USD annually.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.",Mid-Senior level,Machine Learning Engineer - Sensor Simulation
+927,2025-03-11,London,,NJF Global Holdings Ltd,https://www.njf.com,"NJF is a tech-focused company whose by-product is recruitment. Our reputation among many of the world’s leading institutions has resulted in a prolific demand for our services and the continued expansion of our international network. 
+
+NJF’s focus is within the Trading and Technology markets. Our interrelated teams employ rigorous research methodologies to ensure that we are at the forefront of the latest trends in both spheres. Our consultants are devoted to unearthing world-class talent and guiding the right people into the right jobs. 
+
+At NJF, we make the individual our priority. This, in turn, strengthens our comprehensive knowledge of the market and drives our continuous research effort. 
+Along with taking the time to gain a deep understanding of each candidate’s technical skills and market experience, we also get to know them as people. This ensures that our efforts result in a long-term, lasting relationship for both client and candidate. 
+
+Our Trading Practice coordinates the careers of high-performing traders, quants and data scientists across the upper echelons of quantitative managers: hedge funds, proprietary trading organizations and tech firms.
+
+Our Technology Practice has a track record of finding the very best developers and infrastructure experts to build world-class systems and frameworks for high frequency proprietary trading firms, hedge funds and technology start-ups. We recognize that organizations want their staff to reflect the world’s diverse population. We are committed to identifying, attracting and cultivating promising talent from the broadest possible spectrum of professionals. Our continued success has enabled us to build long-standing relationships and to expand our list of contacts in a wide range of communities; this further enhances our ability to deliver. 
+
+London       +44 20 7604 4444 
+New York    +1 212 400 4845 
+Chicago      +1 312 204 7216
+
+Are you looking for a new opportunity? ","Senior Machine Learning (ML) Performance Engineer Austin / Chicago / NYC Our client, one of the world's leading systematic trading firms, is looking to grow their AI offering. This new group will have a pivotal role in the company's future, with this role being responsible for building their Machine Learning infra from the ground-up.They are looking for Machine Learning performance experts who must have the following skills:Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.Deep understanding of computer architectureExperience in programming in C++ and PythonExperience in programming for GPUs or other accelerators such as CUDALinux systems programming experienceLarge-scale distributed trainingIn return, you will work with an amazing peer group that combines Big Tech, Trading & Ivy League alumni. You'll be rewarded with industry-leading compensation and will you have ownership of your projects.If you would like to find out more about this exciting opportunity, please send me your latest resume and I will endeavour to give you a call.",Mid-Senior level,Machine Learning Engineer
+928,2025-03-22,San Francisco,California,Tecton,https://tecton.ai,"Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready AI data platform to help companies activate their data for AI applications. 
+
+AI creates new opportunities to generate more value than ever before from data. Companies can now build AI-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. 
+
+But AI models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage AI data. Most companies don’t have access to the advanced AI data infrastructure that is used by the Internet giants. So AI teams spend the majority of their time building bespoke data pipelines, and most models never make it to production.
+
+We believe that companies need a new kind of data platform built for the unique requirements of AI. Tecton enables AI teams to easily and reliably compute, manage, and retrieve data for both generative AI and predictive ML applications. Our platform delivers features, embeddings, and prompts as rich, unified context, abstracting away the complex engineering involved in data preparation for AI. With Tecton, companies can:
+
+1. Productionize context faster, getting new models to production 80% faster
+2. Build more accurate models through rapid data experimentation and 100% accurate context serving
+3. Drive down production costs by turning expensive workloads into highly efficient data services
+
+We believe that by getting the data layer for AI right, companies can get better models to production faster, driving real business outcomes. Tecton enables organizations to harness the full potential of their data, creating AI applications that are contextually aware and truly intelligent.","Tecton helps companies unlock the full potential of their data for AI applications. The platform streamlines the complex process of preparing and delivering data to models. With Tecton, AI teams accelerate the development of smarter, more impactful AI applications.Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.We are building Rift ( talk , blog post ) - a new fully managed compute environment that allows data scientists to construct powerful batch and streaming pipelines in Python. Our new environment leverages popular open-source technologies such as Ray, Arrow, and DuckDB. We also have deep integrations with Spark platforms (Databricks, EMR, Dataproc) and data warehouses (e.g. Snowflake, BigQuery, RedShift), along with performant training data pipelines and a workload orchestration platform.As a senior engineer on the Batch Data team, you’ll play a critical role in architecting, designing, and scaling the core compute engines and storage architecture used by every Tecton customer. You'll contribute to the performance of our query optimizer, from parsing & optimization to plan selection. Think of this team as the “beating heart” of Tecton.This role is a unique opportunity that combines customer-obsessed product focus with platform and data engineering innovation and helps companies accelerate their path to real-time AI. You will be working in one or more of the following areas to build the next generation of Tecton infrastructure: Distributed compute and resource management Query optimization and distributed execution Cross-platform integrations with state-of-the-art data platformsThis position is open to candidates based near our hubs in San Francisco, New York City, and Seattle.ResponsibilitiesOwn and lead significant technical domains starting from the problem definition and technical requirements to implementation and maintenanceLead projects of strategic importance to Tecton spanning cross-functional teams including product management and other engineering teamsDrive efforts to improve engineering practices, tooling, and processes along with mentorship for junior engineersDevelop a deep understanding of the fundamental problems our customers face in building ML systemsBe a generalist as needed. We’re a small, but growing engineering team and each engineer needs to be versatileQualificationsExperience working in large Python, Java, Kotlin, or Go codebases and running cloud-native Spark systems (e.g. AWS EMR, Databricks, GCP Dataproc)Experience in performance tuning of Spark, Ray, Maestro, or Airflow jobsKnowledge of data formats such as Parquet, Avro, Arrow, Iceberg, or Delta Lake and object storage (e.g. S3, GCS)Expertise with cloud-scale query performance, query optimization, query planning, heuristic query execution techniques, and cost-driven optimizationsExperience with internals of distributed systems, SQL/NoSQL databases, data lakes, or data warehousesStrong communication skills and ability to write detailed technical specificationsExcitement about coaching and mentorship of junior engineersBSc, MS, or PhD in Computer Science or related fields8+ years of experience in building product software systems$197,000 - $237,000 a yearThe estimated US base salary range for this position is $197,000 - $237,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.Tecton is a remote-friendly company that employs a hybrid working policy for employees based in the SF, NY, and Seattle areas. We believe that working in-person helps us stay connected, collaborate faster, and promote a strong culture while still providing the flexibility of working from home. We expect SF & NY employees to be in the office at least two designated days per week, and those in the Seattle area at least two designated days per month..Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.",Mid-Senior level,"Software Engineer, Batch Data"
+929,2025-04-03,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionAs part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.Are you excited about developing state-of-the-art Deep Learning, Computer Vision and GenAI models using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? You enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before. Along the way, you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impacts.Key job responsibilities Quickly acquire knowledge of cutting-edge technologies in deep learning and computer vision to solve complex problems in the biometrics domain to ensure accuracy and latency. Collaborate with applied scientists on developing algorithms and scaling machine learning models. Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications.About The TeamAmazon One under AWS provides innovative biometric identity solutions for customers, offering seamless, contactless palm-based authentication with the same on-demand scalability, reliability, and machine learning expertise that drive Amazon services. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2945379",Not Applicable,"Machine Learning Engineer, Amazon One"
+930,2025-04-01,Seattle,Washington,Zillow,http://www.zillow.com,"Join our mission to give the people power to unlock life’s next chapter. We’re looking for smart, passionate people to join our largely distributed workforce as we reimagine the real estate transaction and change the way people buy, sell, rent and finance their homes.
+
+Our homes are the heartbeat of our lives, and we believe that finding a home shouldn’t be so hard in today’s always-on world. That’s why we’re reimagining the traditional rules of real estate to make it easier than ever to move from one home to the next. Our journey began nearly 15 years ago with a handful of employees and one big idea: to make it radically easier for people to move. We began by helping people understand and track their homes’ values with the Zestimate, our proprietary algorithm, and then with advanced technology and valuable connections with real estate professionals. 
+
+Today, Zillow has become a household name; “Zillow” is Googled more frequently than “real estate.” We believe that the time for a seamless and convenient real estate experience is now. This is Zillow’s next chapter.
+","About The TeamAt Zillow, our mission is to give people the power to unlock life’s next chapter. Zillow’s AI Org plays an important part in delivering unique AI-powered experiences for the hundreds of millions of customers who visit Zillow websites each month.The Decision Engine AI team will be leading the efforts to streamline the loan production process, enable a fully digital financing experience, and provide consistent, unbiased, and personalized loan recommendations. It will make the home-buying process less daunting and more manageable while allowing Loan Officers to specialize differently, focusing more on emotional intelligence and less on mortgage-specific training.As a Senior Machine Learning Engineer (MLE) on the Decision Engine AI team, you’ll be partnering with a highly skilled group of applied scientists, software developers, and machine learning engineers working together toward a bold and audacious goal.About The RoleWe are seeking a collaborative, customer-focused, and product-minded engineer and scientist with deep experience with applied machine learning. You are a roll-up-the-sleeves and get-it-done engineer with a deep understanding of, and are constantly learning about, new techniques in modeling, ML frameworks, and ML infra. You excel at prototyping new ML applications and optimizing impact, performance, and efficiency in production.Apply a growth-mindset and first principles to ambiguous customer problems to rapidly iterate on novel solutions and ways of working. Collaborate closely with applied scientists, engineering, design and research to understand, scope, design, prototype, implement and iterate on internal and external facing systems supporting and implementing next generation AI applications. Lead efforts to deploy machine learning applications into production. Cultivate connections with other teams for critical dependencies and infrastructure. Contribute to carrying and growing our team culture of rapid innovation and creative frugality. This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Washington state, and Washington DC the standard base pay range for this role is $168,600.00 - $269,400.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Washington state, and Washington DC and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.Who you areProficiency with a high-level programming language (we most commonly use Python and PySpark)Strong understanding of Machine Learning and Natural Language Processing fundamentalsExperience with Machine Learning tools and Frameworks (e.g. PyTorch, Transformers, XGBoost, scikit-learn, etc.)Hands-on experience with cloud computing platforms such as AWSStrong understanding of software design patterns, principles, architecture, and operationsComfortable in a small team/fast-paced environmentExperience prototyping, developing, and implementing algorithmic solutions and new technologies with diverse analytics and data. Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, and DataBricks. Practiced technical ability and passion for both owning implementation and contributing technical/thought leadership for a team of world-class scientists engineers. Bachelor's degree or equivalent experience in Computer Science, or a related field. Bonus Qualifications:Experience with generative AI or large language models and related technologies (knowledge retrieval solutions, for example). Experience with regulated, private or sensitive data, document understanding, bandit algorythms, or reinforcement learning. Experience collaborating with science, engineering, design, research and product partners in a team with a startup culture. Advanced degree (M.S. or Ph. D.) or equivalent experience in Computer Science or Engineering, Machine Learning, or related field. Get to know usZillow is reimagining real estate to make home a reality for more and more people.As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.",Mid-Senior level,Senior Machine Learning Engineer - Decision Engine AI
+931,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $137750 - $237500 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Data-Search-TikTok Recommendation - Seattle) - 2025 Start (PhD)
+932,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Leading projects or small teams of people to help them unblock, advocating for ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapsCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Masters degree or PhD in Computer Science or another ML-related fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+933,2024-08-03,Princeton,NJ,"AppLab Systems, Inc",http://applabsystems.com,"AppLab Systems has a strong reputation as a Recruitment, Staffing, Healthcare and information technology consulting company. We assist enterprises, organisations and government agencies maximise their corporate information in their database using best in breed, best in class Business Intelligence software solutions.. 
+
+ Our values are integrity, leading change, excellence, and respect for the individual, learning and sharing. Our success is based on our ability to be flexible while adhering to a strict project management methodology. Large and small organisations alike enjoy our personalised, highly responsive customer service ALS Inc. is your partner for a wide spectrum of IT services including Information Systems Strategy Planning, Quality Assurance , Customized Software Solutions, Packaged Software Implementation, Migration, Web Solutions, Porting and Staff Augmentation.
+
+           We have created an environment for our clients resulting in improved efficiency, reduced costs, deliverable ahead of schedule and customer satisfaction.. ALS Inc is a leading information technology (IT) services company that specializes in providing complete consulting solutions and staff augmentation to its clients. We provide on-time, on-budget, quality service to our clients and consistently meet their expectations. We are known for our superior execution on a sustained basis.
+
+      Our Business Intelligence offerings integrate data from various services to power precise analyses - product profitability, detailed customer profiles and spending habits. ALS Inc empowers your decision makers by delivering the information needed to stay ahead in competitive industries. World class analytical expertise, best-of-breed BI package proficiency, rigorous business methodologies - ALS Inc gives the solutions you are looking for..","Machine Learning EngineersLocation: Austin, TX(W2 contract only no C2C/C2H)Job Description.Minimum 6-8 years of experience in machine learning and computer vision, with a proven track record in image processing and analysis.development and optimization of Computer Vision algorithms and Client models Continuously refine Client models to improve accuracyCollaborate with cross-functional teams to integrate AI/Client features into the application.Skill RequirementsProven hands-on experience in Python programming.Proficient in programming languages relevant to AI/Client development ( TensorFlow, PyTorch).Strong proficiency in machine learning concepts and practical application.Familiarity with data analytics packages including pandas, NumPy, and scikit-learn.Intermediate knowledge in statistics for data analysis and interpretation.Ability to create insightful and visually appealing graphs using tools like Matplotlib or Seaborn.Collaborative mindset with excellent communication skills to work effectively in a team.has context menuResponsibilitiesDevelop and maintain Python-based applications, leveraging expertise in Python programming.Implement and optimize machine learning models for data analysis and insights generation.Utilize data analytics packages such as pandas, NumPy, and scikit-learn for efficient data manipulation and processing.Work collaboratively with cross-functional teams to understand business requirements and translate them into technical solutions.Apply intermediate knowledge in statistics to analyze and interpret complex datasets.Create visually appealing graphs and visualizations to communicate findings effectively.",Entry level,Machine Learning Engineer
+934,2025-04-01,Burnaby,BC,Clio - Cloud-Based Legal Technology,https://www.clio.com,"Clio is the world's leading provider of cloud-based legal technology, providing lawyers with low-barrier, affordable solutions to manage and grow their firms more effectively, more profitably, and with better client experiences. Our products redefine how lawyers manage their firms by equipping them with the tools they need to run their firms securely from any device, anywhere.
+
+For over 16 years, we have been at the forefront of creating innovative, cloud-based solutions tailored to the unique needs of the legal industry. Clio is the legal industry’s only end-to-end software solution for law firms, powering every aspect of the client journey from intake to invoice. Through our innovative platform design, Clio centralizes multiple products, legal payments, technology integrations, and legal workflows in one operating system, so legal professionals can focus on doing what they do best—lawyering.
+
+We have earned the endorsement from over 100+ law societies and bar associations around the world, including recognition from all 50 state bar associations in the United States. We take immense pride in the fact that Clio has the most 5-star reviews of any legal practice management software.
+
+With global headquarters in Vancouver, Canada, Clio boasts a diverse and talented workforce of 1,200 employees and has offices in Toronto, Calgary, Dublin, and Sydney. Our impact reaches far and wide, with more than 150,000 legal professionals that use our technology, spanning across 130 countries. Our robust ecosystem includes partnerships with over 280 app integration partners and 100 Clio Certified Consultants.","Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.Summary:We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact.This role is available to candidates across Canada (excluding Quebec) and the US. If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum twice per week on one of our Anchor Days.What your team does:We at Clio have an amazing team that is on a mission to transform the legal experience for all, and our engineering team’s goal is to deliver an incredible experience to our customers. In the AI team in Clio, we use the latest technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients’ needs.A day in the life might look like:Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer’s experienceCreate LLMs based solutions to help Clio’s clients to save time and create efficienciesCollaborate cross-functionally with engineering, product management, operations and data science to identify new ML-driven features for Clio customersWork in an agile environment with our team of machine learning engineers, MLOps engineering and full stack developers across a variety of projectsWhat you may have:Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models;Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets;Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini;A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers;A portfolio of past projects showcasing your successes, challenges, and growth as a machine learning expert;Exceptional communication skills and the ability to build trust with both internal teams and external customers;A strong desire to continuously learn, challenge yourself, and refine your craft as a machine learning engineer.What you will find here:Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.Some highlights of our Total Rewards program include: Competitive, equitable salary with top-tier health benefits, dental, and vision insurance Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days. Flexible time off policy, with an encouraged 20 days off per year.$2000 annual counseling benefitRRSP matching and RESP contribution Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The full salary range* for this role is $123,250 to $145,000 to $166,750 CAD.Please note there are a separate set of salary bands for other regions based on local currency.We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency.Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.Learn more about our culture at clio.com/careers",Entry level,Machine Learning Engineer
+935,2025-04-04,Wimbledon,London,Harnham,http://www.harnham.com,"Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com 
+
+Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. 
+
+Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.
+
+Our five core services:
+
+* ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a 
+
+* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
+
+* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
+
+* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
+
+* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.","Machine Learning EngineerAI & Cloud OptimizationNew York City – Hybrid$160,000 – $200,000 + Equity & BenefitsWe are working with a venture-backed AI startup redefining how companies manage their cloud costs in an era of explosive AI-driven growth. With billions spent annually on cloud infrastructure—often tracked with outdated tools—this company is building intelligent systems that bring clarity, automation, and financial control to cloud spend. Their platform is already trusted by industry leaders and built for scale across AWS, GCP, and Azure.The Role:This is a hands-on, senior-level position where you’ll drive AI product development from 0 to 1. As a Machine Learning Engineer, you’ll partner closely with the CTO and founding team to design and implement LLM-powered features, forecasting models, and intelligent automation capabilities that directly impact customer outcomes.Responsibilities include:Designing, deploying, and optimizing machine learning models for cloud spend forecasting, anomaly detection, and cost controlBuilding and integrating LLMs to power Agent-style chat interfaces and automation toolsDeveloping secure, scalable ML infrastructure across multiple cloud platformsDriving full-cycle ML projects—architecture, development, deployment, monitoring, and iterationCollaborating with product, engineering, and leadership teams to align AI development with business prioritiesExperimenting with new techniques in generative AI, model optimization, and real-time inferenceRequirements:We’re looking for a startup-minded ML engineer with strong technical depth and a bias toward action. You should have:5+ years of experience in machine learning, AI model development, and infrastructure deploymentFluency in Python, with experience in tools like PyTorch, Hugging Face, LangChain, and TerraformA proven ability to deploy ML models at scale across distributed cloud systemsExperience working with LLMs and open-source models (e.g., Llama, Mistral, Falcon)An understanding of AI security best practices and a commitment to building responsiblyStrong communication skills and the ability to convey complex ideas clearly and confidentlyComfort in high-ambiguity, fast-paced environments where you’ll help define the roadmapBenefits:As a Machine Learning Engineer, you can expect:$160,000 – $200,000 base salaryEquity in a high-growth companyUnlimited PTO and flexible work policyThis is a rare opportunity to shape the future of AI-enabled cloud infrastructure—building real systems, for real users, from day one.",Associate,Machine Learning Engineer
+936,2025-03-26,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity This role is part of Adobe’s Global Marketing Organization (GMO), specifically within the Growth Marketing and Insights organization (GMI). We are seeking a highly experienced Machine Learning Engineer to design, develop, and deploy advanced causal Marketing Mix Models (MMM) for Adobe’s global businesses.These models are crucial for guiding Adobe’s quarterly and yearly marketing budget decisions and generating insights that drive business growth. The primary goal of this role will be to build foundationally solid models that can be refreshed frequently in the production environment. This role will collaborate with cross-functional teams, including analytics, marketing execution, and engineering. What you'll  do  Develop both descriptive and predictive MMMs that accurately measure the incremental impact of marketing and non-marketing drivers  Expand our modeling solutions to support a growing number of geographic locations and product groups  Integrate additional measurement methodologies and data to ensure accurate measurement of marketing return on investment  Balance technical capabilities with practical business needs  Measure both short- and long-term impact of marketing to guide budget allocation across funnel stages to drive sustainable business growth  Communicate model results effectively to partners and executives  Continuously improve modeling techniques and capabilities as the analytical landscape evolves  Contribute to the overall growth of the team! Requirements MS/PhD in Economics, Statistics, Physics, Mathematics, Computer Science, or a related quantitative field  3-4 years of experience in developing and operationalizing MMM and marketing science solutions  Strong technical expertise in MMM and ML algorithms, with the ability to connect model insights to business outcomes  Experience with experimentation/causal inference methods  Experience in deploying models from development to production environments  Proficiency in ML programming languages like Python, R, etc. and data querying languages ( e.g. SQL)  Experience with cloud platforms for scalable model training and deployment  Ability to balance practical business needs with technical possibilities  Strong communication skills and the ability to explain technical terms to business stakeholders  Ability to build positive working relationships and collaborate in cross-functional teams  A curious mind, passion, and motivation to learn new skills, tools, and techniques! Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,Machine Learning Engineer - Marketing Mix Modeling
+937,2025-04-07,Boston,MA,Lendbuzz,http://www.lendbuzz.com,"Lendbuzz is an AI-based auto finance platform that helps consumers obtain fair access to credit when purchasing a car. Powered by alternative data and machine-learning algorithms, Lendbuzz can assess the creditworthiness of consumers whose credit scores range from good to non-existent—a group totalling some 100 million people—yet despite their massive numbers are underserved by traditional loan processes. Lendbuzz supports the success of their dealership partners through consumer loans that help those dealers reach a more diversified client base, together with competitive floorplanning options that help them grow their businesses. Lendbuzz is headquartered in Boston, Massachusetts and was founded in 2015.
+
+All loans are made by Lendbuzz Funding, LLC.
+NMLS ID #1636296","At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.We're looking for a dynamic Software Engineer (Frontend) to join our team. As a key member, you will lead agile development cycles from inception to deployment, ensuring our systems are optimized for scalability and performance. Collaboration is key; and you'll work closely with cross-functional teams to enhance user experiences and streamline workflows. An ideal candidate will bring a strong architectural mindset, a passion for AWS and cloud technologies, and the ability to automate processes for maximum operational efficiency.This position primarily emphasizes frontend development, comprising approximately 80% of the workload, with the remaining 20% dedicated to backend tasks.Key Responsibilities:Participate in all aspects of agile software development, including design, implementation, and deploymentArchitect and provide guidance on building end-to-end systems optimized for speed and scaleWork primarily in React, Node.js and Ruby to improve our user re-payment experienceImprove visibility across frontendEngage with inspiring designers and front-end engineers, and collaborate with leading back-end engineers as we create reliable APIsCollaborate across time zones via Slack, GitHub comments, documents, and video conferencesAnalyze manual processes and automate them whenever possible to ensure a smooth operation of workflowsWork in partnership with fellow developers on implementing new ideas, features, and appsCollaborate with product management, quality assurance, customer support, and fellow software engineers to deliver features that meet our customers’ needsResearch and prototype new technologies that can improve pipelines and build processesPerform additional tasks and/or duties as assignedRequirements:Bachelor’s degree required4-7 years of experience building React-based frontend applications and web appsStrong focus on design, code quality, and user experience, with a curiosity for frontend technologies like NextJSProficient in React, Node.js, TypeScript, and designing/integrating RESTful APIs; knowledge with Ruby is a plusComfortable across all stages of the product life cycle - analysis, design, coding, testing, and troubleshootingStrong debugging, optimization, and unit/integration testing experienceWe believe:Diversity is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.Compassion is a strength. We care about our customers and look to build long-term relationships with them.Simplicity is a key feature. We work hard to make our forms and processes as painless and intuitive as possible.Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions.Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity.If you believe these things too then we would love to hear from you!",Not Applicable,Software Engineer (Frontend)
+938,2025-04-03,Washington,DC,CAVA,https://try.cava.com/linkedin,"At CAVA, we work every day to bring heart, health, and humanity to food.
+
+Apply: cava.com/careers 
+Follow us: @CAVA
+Find your closest CAVA: cava.com/locations","Company Profile: At CAVA we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity and the pursuit of excellence in everything we do. We are working towards something big, together.We foster a culture built on five core values: Generosity First, Always: We lead with kindness. Our best work happens when we act in service of others.Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious.Act with Agility: We welcome change; it’s the only constant. We embrace, adjust, adapt.Passion for Positivity: We greet each day with warmth and possibility.Collective Ambition: We have high aspirations that are achieved when we work together with a shared purpose.Senior Visualization Engineer Are you passionate about bringing the CAVA experience to life through data? Are you a data visionary with a passion for transforming numbers into compelling stories? We're seeking a talented Tableau Admin and Visualization Engineer to join our team and unlock the power of our data.As a Tableau Admin and Visualization Engineer at CAVA, you'll be at the forefront of data-driven decision-making, crafting insightful visualizations that drive business growth and enhance the guest experience. You'll collaborate closely with cross-functional teams to uncover hidden trends, optimize operations, and elevate our brand. Your expertise in Tableau administration will ensure data accuracy, accessibility, and security, while your creative flair will bring our data to life through captivating visualizations. You'll play a crucial role in transforming data into actionable insights that fuel our business decisions. You'll work closely with our teams to create stunning visualizations that tell the story of our brand and help us deliver exceptional experiences for our guestsWhat You’ll Do: Tableau Administration:Manage and maintain Tableau Server environment, including installation, configuration, and upgrades.Optimize Tableau Server performance and scalability.Implement and enforce security measures to protect sensitive data.Troubleshoot and resolve Tableau-related issues.Data Visualization:Design, develop, and maintain interactive dashboards and reports using Tableau Desktop.Collaborate with business users to understand their data needs and translate them into effective visualizations.Optimize Tableau visualizations for performance and usability.Provide training and support to end-users on Tableau tools and best practices.Data Integration:Connect Tableau to various data sources (databases, spreadsheets, cloud-based data) and ensure data integrity.Optimize data extraction and loading processes for efficient performance.Data Governance:Enforce data standards and best practices within the Tableau environment.Maintain data quality and accuracy.Develop and implement data governance policies.Work closely with data analysts, data engineers, and business stakeholders to meet their data needs and communicate data impacts in a timely and effective mannerExecute effective decision-making skills to led team to succeedMaintain emotional stability in stressful situations; lead by example for how our team should handle adversityAbide by policies and procedures that support the service mindsetManage timeline expectations within and across teams, deliver on our responsibilities accordinglyEarn the trust of Team Members and Managers by consistently embracing CAVA’s valuesShow discipline in bringing consistent performance, communication, and attitude to the job every dayActively contribute to your department in order to complete tasks and meet company goalsRecognize the emotional stake each Team Member has in personal and organizational success of this businessThe Qualifications:Strong proficiency in Tableau Desktop and Server administration.Experience in designing and developing complex Tableau dashboards and visualizations.Solid understanding of data warehousing and ETL concepts.SQL proficiency for data manipulation and analysis.Strong analytical and problem-solving skills.Excellent communication and interpersonal skills.Ability to work independently and as part of a team.Strong understanding of cloud platforms (AWS, GCP, Azure).Experience with managing data workflows at scale – Apache Airflow is a plusExcellent problem-solving and analytical skills.Effectively be able to scale data solutionsStrong communication and interpersonal skills.Physical Requirements:Ability to maintain stationary position to be able to operate a computer and other office equipmentMust be able to identify, analyze and assess detailsFor certain positions, must be able to occasionally move or transport items up to 50 poundsAbility to communicate with others and exchange information accurately and effectivelyConstantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicableAbility to work in a constant state of alertness and in a safe mannerWhat we offer: Competitive salary, plus bonus and long-term incentives*Early Wage Access!Unlimited PTO, paid parental leave, plus paid opportunities to give back to the communityHealth, Dental, Vision, Telemedicine, Pet Insurance plus more!401k enrollment with CAVA contributionCompany-paid STD, LTD, Life and AD&D coverage for salaried positions*Free CAVA foodCasual work environmentThe opportunity to be on the ground floor of a rapidly growing brandAll exempt and non-exempt employees are eligible for benefits. Benefits are effective the 1st of the month following 30 days of service and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hiredThe compensation range posted includes total cash*Indicates qualifying eligible positions only CAVA – Joining “A culture, not a concept”This job description is not intended to be a comprehensive list of all the duties and responsibilities of the position, and such duties and responsibilities may change without notice. As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law.",Mid-Senior level,Senior Data Engineer - Visualization
+939,2025-04-09,San Francisco,California,Uber,http://www.uber.com,"We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
+
+The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.","About The RoleJoin our team as a Decision Scientist and play a crucial role in safeguarding the integrity of the Uber platform. You will leverage your data-driven expertise to identify, analyze, and mitigate emerging trends. Through statistical analysis and creative problem-solving, you will contribute to the development of robust strategies that minimize losses while ensuring operational efficiency and a seamless user experience.Collaborating with cross-functional teams comprising engineers, product managers, fellow decision scientists, and operations managers, you will be responsible for key performance metrics related to detection and false positives optimization. Your analytical prowess and business acumen will be instrumental in driving data-informed decisions and shaping the future of management at Uber.What The Candidate Will Need / Bonus Points What the Candidate Will Do Perform statistical analysis to understand behaviours and contribute to detection models/features  Build and maintain rules to address evolving fraudulent activities  Extract insights from large datasets to develop fraud mitigation strategies  Build deep understanding of data, reporting, and key metrics  Conduct to and optimize mitigation solutions  Collaborate with global cross-functional teams on prevention projects  Effectively communicate findings to drive business decisions  With guidance from manager, define and develop an area of expertise  Basic Qualifications Minimum of 2 years of experience in a data-focused role, such as data science, analytics, management, or business intelligence  Exceptional proficiency in and statistical analysis languages (SQL, R, or similar)  Proven track record of leveraging advanced analytical techniques and statistical methods to solve complex, real-world problems  Experience in hypothesis testing and statistical modeling  Expertise in defining, measuring, and communicating performance metrics that drive business impact  Preferred Qualifications Advanced degree in a quantitative field such as Statistics, Mathematics, Operations Research, Economics, or a related discipline  Prior background in Risk or Fraud  Data engineering/pipeline creation experience  A natural problem-solver with a passion for critical thinking and a ""get things done"" mindset  Good communication skills and the ability to articulate technical concepts to diverse stakeholders  Comfortable with ambiguity and capable of thriving in a dynamic, self-directed environment For San Francisco, CA-based roles: The base salary range for this role is USD$124,000 per year - USD$130,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$124,000 per year - USD$130,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.",Not Applicable,"Data Scientist I, US - Risk & Fraud"
+940,2025-04-09,San Jose,California,NetApp,https://www.netapp.com/,"Build an intelligent data infrastructure with NetApp that brings it all together — a smarter way to let data thrive. Any application, any data, anywhere.","Job SummaryAs a Software Engineer Intern, you would participate in product design, development, verification, troubleshooting, and delivery of a system or major subsystems. This position requires an individual to be creative, team-oriented, technology savvy, driven to produce results and demonstrates the ability to take a cross-team leadership role.   We invest heavily in new talent. Your energy and fresh ideas are vital to cementing our position as a market -leader. We’ll push you beyond your comfort zone with a belief that no idea is off-limits. At the same time, you’ll have all the resources, mentoring and feedback you need to grow. What’s more, whatever your role, you can be yourself in a team that celebrates individuality and welcomes different perspectives. Job RequirementsExperience with multiple programming languages is a benefit but there is also room to improve your skills.  Our intern work differs depending on the team and project work but some potential areas of focus and skill sets are-  Front End Development:    Design and implement code using Functional and Object-Oriented JavaScript, HTMP, CSS  Develop enterprise SaaS software using modular, reusable JS components and data visualizations  Understanding of concepts related to computer architecture, data structures and algorithms and design patterns/practices   Back End Development:  Understanding of Java, Python, C, and/or C++  Participate in product design, development, verification, troubleshooting, and delivery of a system or major subsystems  Projects, experiences, or coursework related to areas such as: Operating Systems, Computer Architecture, Multi-Threading, Data Structures & Algorithms   Other helpful skillsets: Proven aptitude for learning new technologies  Creative and analytical approach problem solving skills  Strong oral and written communication is necessary for success  Ability to work on a diverse team or with a diverse range of people Additional DetailsJob Posting Info: This is a pipeline position that will be opened on a recurring basis and used to fill roles aligned with the required skill sets.Program Dates: This is an internship with start dates in May or June 2025. Recruiting efforts will be ongoing until specific teams find an ideal match.Thrive Together: NetApp’s approach to in-person and remote work will be a flexible hybrid model that emphasizes flexibility for employees and puts our talent first.Education & ExperienceMust be enrolled in an educational or professional program through summer 2025 or later.CompensationFinal compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.Equal Opportunity EmployerNetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.Did you know...Statistics show women apply to jobs only when they're 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you.Why NetApp?We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time per year to volunteer with their favorite organizations. We provide comprehensive medical, dental, wellness, and vision plans for you and your family. We offer educational assistance, legal services, and access to discounts. Finally, we provide financial savings programs to help you plan for your future.If you want to help us build knowledge and solve big problems, let's talk.",Internship,Intern - Software Engineer
+941,2025-04-09,Cincinnati,Ohio,ExaTech Inc,http://www.exatechinc.com,"Welcome to Exatech – Your Trusted Partner in Staffing Solutions! 
+
+At Exatech, we are dedicated to addressing both IT and non-IT requirements, specializing in niche areas with the best of the solutions. Our seasoned team of professionals with both expertise and dedication, committed to going the extra mile to ensure client’s success and satisfaction.
+
+Industries We Serve:
+Banking and Financials
+Oil and Gas
+Healthcare and Medical Devices Manufacturing
+Hospitals/Healthcare Facilities
+Aeronautical
+Robotics
+Electronics
+Food and Beverage
+Government
+Water Management
+Automotive
+Steel Manufacturing
+
+Whether you're in need of IT solutions, light industrial support, or healthcare services, Exatech has you covered. Our comprehensive approach and commitment to excellence make us the go-to partner for businesses seeking unparalleled consulting and staffing solutions.","Position : AI/ML EngineerLocation : RemoteNeed 10+ Years Candidates Candidate has worked in product company particularly telecom product company. Need 100% match to the JDI am seeking someone for below role. Role Summary:We are seeking an experienced AI/ML Data Scientist to design, develop, and deploy advanced machine learning and generative AI solutions. This role requires a blend of deep technical proficiency, curiosity for cutting-edge research, and practical experience in production-grade AI/ML systems, including knowledge of LLMs, AI agents, and vector databases.Key Responsibilities: • Build and deploy ML and GenAI models to solve complex business problems across structured and unstructured data • Leverage LLMs (e.g., GPT-4, LLaMA, Claude, Gemini) for use cases such as summarization, classification, chat agents, document understanding, and more • Design and prototype AI agents capable of reasoning, memory recall, task planning, and multi-step workflows • Work with vector databases (e.g., Pinecone, FAISS, Chroma) for semantic search and retrieval-augmented generation (RAG) systems • Collaborate with product, engineering, and data teams to integrate models into real-world applications • Conduct model evaluation, fine-tuning, and prompt engineering for optimization • Stay current with the latest advancements in generative AI, foundation models, and open-source tooling • Create clear documentation and visualizations for communicating technical solutions and results to stakeholdersRequired Qualifications: • Degree in Computer Science, Data Science, Engineering, or a related field • 3+ years of experience in machine learning or AI/ML engineering roles • Hands-on experience with GenAI frameworks and APIs (e.g., OpenAI, HuggingFace Transformers, LangChain, LlamaIndex) • Experience building and scaling LLM-based applications (RAG pipelines, chatbots, agents, etc.) • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) • Solid programming skills in Python and ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn) • Understanding of ML lifecycle, including data processing, training, evaluation, and deployment • Experience with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes)Preferred Qualifications: • Experience designing and deploying AI agents (e.g., Auto-GPT, BabyAGI, CrewAI, OpenAgents) • Exposure to open-source LLMs (LLaMA 3, Mistral, Falcon, etc.) and fine-tuning techniques (LoRA, QLoRA, PEFT) • Familiarity with MLOps tools and workflows (e.g., MLflow, DVC, SageMaker, Vertex AI) • Strong communication and stakeholder engagement skills • Publications or open-source contributions in GenAI/ML is a plus",Mid-Senior level,Machine Learning Engineer
+942,2024-09-22,,,Hugging Face,https://huggingface.co,The AI community building the future.,"At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the role:As a Machine learning Engineer, you work mainly on creating great libraries highly focused on real world ML use cases. We're building on top of our open-source to create more specialized code with a focus on industrial level of usage.We are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a progressive, nimble and decentralized approach to develop real-world solutions and positive user experiences at every interaction.Objectives of this role: Develop specialized software for specific machine learning (ML) use cases that have broad applications, similar to [text-generation-inference](https://github.com/huggingface/text-generation-inference).   Utilize existing library frameworks to create scalable software solutions for industrial purposes.   Enhance the reliability, quality, and time-to-market of our software suite. Measure and optimize system performance to stay ahead of customer needs and drive innovation.   Manage the production environment by monitoring availability and ensuring overall system health. We run our own tools About you:If you are a passionate Machine Learning Engineer with a keen interest in AI and proficient with Python, Rust and specialized Cuda kernels Frameworks (transformers of course + Keras or PyTorch), we would love to hear from you. Join our team and contribute to the advancement of AI technologies while working alongside talented professionals in a collaborative and stimulating environment.More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also flexible parental leave and paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.",Mid-Senior level,"Machine Learning Engineer, Fast Optimized Inference - US Remote"
+943,2025-04-01,Dublin,CA,"iTradeNetwork, Inc.",http://www.itradenetwork.com,"iTradeNetwork is a leading supply chain management platform for the food and beverage industry, enhancing efficiency, visibility, and collaboration. We offer solutions for procurement, food safety, transportation, spend management, and data services. Our platforms helps retailers, growers, manufacturers, operators, and distributors streamline operations, ensure compliance, and optimize costs.
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+With over 2,500 trading partners and $50 billion in annual transactions, iTradeNetwork is a key player in the perishables supply chain.","About iTradeNetworkAt iTradeNetwork, we provide advanced supply chain software and insights tailored to the food & beverage industry. Our mission is clear and ambitious: To feed the world. From the start, we’ve been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact.Our cutting-edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably. We’re proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 foodservice distributors, and 8 of the top 10 global food and beverage manufacturers.JOB SUMMARYAre you a machine learning enthusiast who thrives on transforming data into impactful insights? Do you dream in algorithms, data pipelines, and model architectures? We’re looking for a Machine Learning Full Stack Developer who is a true builder—someone who can roll up their sleeves, design, develop, and deploy scalable ML solutions. This isn’t just another job; it’s an opportunity to be part of a team that is shaping the next generation of AI-driven products that will directly drive growth.Key Responsibilities:Build the Future: Design, develop, and deploy end-to-end machine learning systems optimized for performance, scalability, and rapid deployment.AI-First Development: Leverage AI tools (GitHub Copilot, Cursor AI, ChatGPT, Otter AI) to enhance code efficiency, refactoring, debugging, and documentation.Rapid Prototyping: Rapidly prototype and deploy ML models and full-stack applications using AI-assisted development tools.ML & Data Pipelines: Build and optimize data pipelines for efficient ingestion, transformation, and analysis.LLM Integration: Implement and fine-tune large language models (LLMs) like GPT, BERT, and integrate them seamlessly into production systems.MLOps Excellence: Design, develop, and implement CI/CD pipelines for continuous deployment and monitoring of machine learning models.Cloud-Native Development: Build and maintain cloud-native ML applications on platforms like GCP, AWS, or Azure.Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into scalable ML solutions.Solve Complex Problems: Tackle technical challenges, from optimizing algorithms to deploying real-time machine learning systems.Tech Stack:Languages: Python, JavaML Frameworks: TensorFlow, PyTorch, Scikit-learnDatabases: BigQuery, PostgreSQL, Redis, MongoDBCloud & DevOps: Kubernetes, Docker, Terraform, GCP, AWSMLOps Tools: MLflow, Kubeflow, AirflowAI Tools: GitHub Copilot, Cursor AI, Otter AI, ChatGPTNLP & LLMs: GPT, BERT, Transformer architecturesCI/CD & Automation: GitHub Actions, JenkinsWhat You Bring:Bachelor’s degree in Computer Science, Engineering, or just equivalent hands-on experience with no degree!5+ years of hands-on experience in machine learning and full stack development, with at least 3+ years in data science and 3+ years in ML engineering.Proven ability to develop and deploy ML models with minimal requirements.Strong coding ability demonstrated via a HackerRank assessment (preferred HackerRank Gold Badge).Expertise in Python and Java for building production-grade ML systems.Strong experience with cloud platforms like GCP, AWS, or Azure.Deep understanding of MLOps best practices, including CI/CD pipelines and model monitoring.Ability to quickly understand and implement complex data models and algorithms.Strong problem-solving, analytical thinking, and debugging skills.Excellent communication and collaboration abilities.Why you will love working here:Competitive salary packagesComprehensive medical, dental, vision, and life insurance benefits for you and your familyFlex PTO for exempt employees and competitive PTO for non-exemptPaid parental leave for eligible employees401(k) matchingTuition reimbursement on approved programsGreat health & well-being benefits including Teladoc for general medical and mental health careThese benefits are only applicable to full-time employeesThis is a hybrid position, candidates must be located in the Bay Area, CA; Charlotte, NC; Denver, Colorado; and Atlanta, Georgia unless listed otherwiseAdditional Requirements:Must be able to demonstrate lawful ability to work in the United StatesiTradeNetwork, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran by applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability",Mid-Senior level,Machine Learning Engineer
+944,2025-03-28,Worldwide,,"Pyramid Consulting, Inc",https://pyramidci.com/,"Pyramid Consulting, a global leader in workforce and technology solutions, empowers individuals and organizations to transform and thrive in the most challenging and competitive markets. Pyramid Consulting’s award-winning family of brands – Pyramid Talent, Celsior, and GenSpark– operate together to deliver seamless and integrated solutions which benefit our clients and the consultants who serve them. Through the ‘intentionally inclusive’ recruitment of uniquely qualified candidates and teams; the training and upskilling of recent college graduates and organizational talent; and the customized development and management of innovative technology solutions and teams, Pyramid Consulting proves its lasting commitment to the sustainable growth and success of its consultants and clients. Founded in 1996 and headquartered in Atlanta, Pyramid Consulting serves over 125 Fortune 500 companies across most industries with more than 6500 consultants in 25 countries.","Immediate need for a talented Data Scientist. This is a 08+months contract opportunity with long-term potential and is located in Irvine, CA (Hybrid). Please review the job description below and contact me ASAP if you are interested.Job ID: 25-62674Pay Range: $80 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).Key Responsibilities:Diagnose hardware and software problems, and replace defective components.Perform data backups and disaster recovery operations.Install, maintain and administer computer networks and computer hardware, systems software, applications software, and all configurations.Plan, coordinate, and implement network security measures in order to protect data, software, and hardware.Monitor the performance of computer systems and networks.Perform routine network startup and shutdown procedures, and maintain control records.Ensure network performance.Add and remove network access.Maintain an inventory of parts for repair needs.Key Requirements and Technology Experience: Top 3 skills: Machine Learning, Python, SQLProficient in Python and SQLHands-on experience in database technology (Postgres, Redis, ElasticSearch)Familiarity with transformer architectures (SLM, LLM, VLM, Embedding Models)Strong technical acumen and experience architecting Sales Enablement and Customer Success tools and systems.Strong knowledge of industry trends for sales tools and database strategies.Ability to quickly identify root causes of problems and act on those problems in an effective and complete manner.General Knowledge of Client Suite (Sheets, Docs, & Slides), mandatory experience with Salesforce as a user, admin experience desirable.Need to be inquisitive and constantly wondering how we can make the sales cycle faster, more effective, and/or easier to complete.Must be able to work autonomously and make large business impacting decisions confidently. Subject matter expertise in a large variety of additional software applications as well as the business acumen required to apply them to business problems.Bachelor’s Degree PreferredFamiliarity with the Agile framework.Overall understanding of SaaS business processes and experience in implementing solutions to gaps from a technical and/or project management perspective.This role Interacts regularly with Sales and Customer Success Directors, Associate Directors, and Enablement & Operations Leaders. Also interacts regularly with Marketing, Strategy, Legal, Finance, IT, Business Intelligence, Program Management and Sales Compensation leadership.Ability to see the big picture and potential risks of interaction between systems.List degree required and/or preferred along with the number of years of related and total experience. List any certifications, licenses or other specialized requirements.Certifications: Salesforce Administrator or better desired.Our client is a leading Telecommunications Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.",Not Applicable,Data Scientist
+945,2025-02-21,San Francisco,,Sardine,https://www.sardine.ai/,"Sardine is the leading AI risk platform for fraud prevention, compliance, and credit underwriting, trusted by enterprises in over 70 countries. Using device intelligence, behavior biometrics, and machine learning, Sardine stops fraud in real time, streamlines compliance, and unifies data across risk teams. Backed by world-class investors and partners including Andreessen Horowitz, Activant Capital, Visa, Experian, Moody’s, and FIS, Sardine is redefining risk management for the real-time economy. Learn more at sardine.ai.","Who we are:We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.Our culture:We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhereWe hire talented, self-motivated individuals with extreme ownership and high growth orientation.We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.About the Role:We are seeking a highly skilled Machine Learning Engineer to lead the development of our device identification and fingerprinting systems. In this role, you will work closely with cross-functional teams to collect and process high-entropy signals from our frontend SDKs, enhance our backend systems, and improve the accuracy and reliability of our device fingerprinting methods.Key Responsibilities:Backend Development: Design, develop, and maintain backend services using Go (Golang) to process and analyze device data.Data Collection Optimization: Collaborate with frontend engineers to refine data collection methodologies using JavaScript and modern browser technologies. Device Fingerprinting: Implement and improve algorithms for device identification using high-entropy signals and probabilistic matching techniques.Data Analysis: Handle large datasets to extract insights and improve matching accuracy.Browser and Technology Monitoring: Stay up-to-date with changes in browser behaviors, APIs, and security features that may impact data collection and fingerprinting methods.Machine Learning Integration: Apply machine learning models where appropriate to enhance device recognition and handle uncertainty.Security and Compliance: Ensure all systems and processes comply with relevant privacy laws and industry best practices.Performance Optimization: Identify bottlenecks and optimize system performance for scalability and reliability.Documentation and Mentorship: Document system designs and processes. Mentor junior team members and promote best practices within the team.Required Qualifications:Minimum of 5 years of professional software engineering experience.At least 3 years of experience in backend development, preferably with Go or a similar language.Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Experience with data processing frameworks and handling large-scale datasets.Experience with machine learning techniques, statistical analysis, or probabilistic modeling to improve device identification reliability and accuracy. Familiarity with Python-based data science tools and libraries (e.g., NumPy, pandas, scikit-learn) is a plus.Familiarity with relational and non-relational databases.Strong problem-solving abilities and analytical thinking.Excellent communication skills, both written and verbal.Ability to work collaboratively in a team environment.Self-motivated with a passion for continuous learning and improvement.Preferred Qualifications:Security Expertise: Understanding of cybersecurity principles, especially related to device identification and fraud prevention.Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure.DevOps Skills: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.SQL Proficiency: Strong SQL skills to query, analyze, and validate data effectively, especially for large-scale datasets.Additional Considerations: Knowledge of JavaScript and familiarity with modern browser APIs, especially in the context of high-entropy data collection for device fingerprinting.Compensation:Base pay range of $180,000 - $220,000 + equity with tremendous upside potential + Attractive benefits.The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.Benefits we offer:Generous compensation in cash and equityEarly exercise for all options, including pre-vestedWork from anywhere: Remote-first CultureFlexible paid time off, Year-end break, Self care days offHealth insurance, dental, and vision coverage for employees and dependents - US and Canada specific4% matching in 401k / RRSP - US and Canada specificMacBook Pro delivered to your doorOne-time stipend to set up a home office — desk, chair, screen, etc.Monthly meal stipendMonthly social meet-up stipendAnnual health and wellness stipendAnnual Learning stipendUnlimited access to an expert financial advisoryJoin a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.",Mid-Senior level,Machine Learning Engineer
+946,2025-04-07,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.TikTok Location Team's goal is to deliver user-facing products based on the location that connects people with places, localized content, and service in the real world around the globe.Work on ML models and algorithms to drive the creation of cutting-edge technical solutions to bridge the gap between technical capabilities and real-world business impact, including POI data production, POI recommendation, reviews sentiment analysis and ranking, geocoding, user profiling, etc.Responsible for algorithmic strategies in geographical content and services, enhancing and optimizing Location-Based Services (LBS) capabilities to support a range of international products.Thoroughly comprehend business intricacies, analyze issues, and devise appropriate algorithms and strategies tailored to various problem domains. Continuously optimize performance and efficacy.QualificationsBS/MS Degree in Computer Science or related major.Experienced in programming and algorithmic skills, proficient in languages such as Python, Golang, or C++.Deep understanding of computer architectures, data structures and algorithms.Experienced in one or more of the following topics: Tensorflow, Caffe, MxNet, PyTorch or other machine learning frameworksHave good team communication and collaboration skills.Preferred Qualifications2 years of industry experience in building and leading ML model development for large-scale consumer-facing applications.Experience or domain expertise in one or more of the following areas is preferred: POI (Point of Interest) data algorithms, NLP, recommendation systems, reviews sentiment analysis and ranking, NER, text mining, geocoding, user profiling, etc.Experience in big data、data warehouse、streaming data flow and real time data processing system is preferred.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - TikTok Location Based Service
+947,2025-04-03,Sunnyvale,California,Cerebras Systems,http://www.cerebras.ai,"Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to accelerate generative AI by building from the ground up a new class of AI supercomputer. Our flagship product, the CS-3 system, is powered by the world's largest and fastest commercially available AI processor, our Wafer-Scale Engine-3. CS-3s are quickly and easily clustered together to make the largest AI supercomputers in the world, and make placing models on the supercomputers dead simple by avoiding the complexity of distributed computing. Cerebras Inference delivers breakthrough inference speeds, empowering customers to create cutting-edge AI applications. Leading corporations, research institutions, and governments use Cerebras solutions for the development of pathbreaking proprietary models, and to train open-source models with millions of downloads. Cerebras solutions are available through the Cerebras Cloud and on premise. For further information, visit www.cerebras.ai
+Join us: https://cerebras.net/careers/","Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. About The RoleAs a Engineer in ML Integration and Quality team, you will play a pivotal role in bringing together and delivering all software and hardware components for Cerebras AI platform. You will focus on SW components feature integration and quality. Pre deployment/production validation for Cerebras training and inference solution. As part of this role, you will influence the best testing practice, good debugging methodology, effective cross team communication and advocate for world-class products. ResponsibilitiesExecute with good software integration methodology, collaborate with effective communication and ensure quality.Break down complex tasks into smaller tasks, be a problem solver and help debug efficiently.Automation of workflows, testbed setups and building tools to monitor/debug.Implement creative ways to break Cerebras software and identify potential problems.Contribute to developing SW specifications with a focus on ML products.Drive quality of various software and hardware components of Cerebras AI platform to ensure accuracy, performance and usability of ML training and inference workloads.Develop and execute a comprehensive QA strategy aligned with the roadmap of the Cerebras AI solution, lead the work of the QA team.Ability to work in a fast-paced environment and make the necessary prioritizations and judgements which affects productivity at a company level.Define and implement quality metrics to measure product and process quality, provide actionable insights and recommendations to drive continuous improvement.Provide regular updates on quality, key metrics, and risks to engineering and business stakeholders.Collaborate with software and product team to develop clear acceptance criteria and deliver quality product.Execute and deliver with strong sense of ownership and quality driven mindset.Skills And QualificationsMaster's degree in computer science or EE with 0-6 years of industry experience.Exposure to AI/ML workload and workflows.Strong automation and programming skills using one or more programming languages like Python, C++ or go.Experience in debugging issues across scale out deployment.Excellent verbal and written communication skills.Strong organizational skills, teamwork, and can-do attitude.Clear and detailed documentation skills.Preferred Skills And QualificationsExperience in building complex application in python.Experience in working with LLM/Multimodal training or inference.Experience with hardware architecture, performance optimizations, compilers and ML frameworks.Experience working with distributed systems, cloud and security.Experience working with microservices deployment, debugging and orchestration. LocationThis role follows a hybrid schedule, requiring in-office presence 3 days per week. Please note, fully remote is not an option.Office locations: Sunnyvale, Toronto. Why Join CerebrasPeople who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:Build a breakthrough AI platform beyond the constraints of the GPU.Publish and open source their cutting-edge AI research.Work on one of the fastest AI supercomputers in the world.Enjoy job stability with startup vitality.Our simple, non-corporate work culture that respects individual beliefs.Read our blog: Five Reasons to Join Cerebras in 2025.Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.",Mid-Senior level,Senior ML Software Integration & Quality Engineer
+948,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 5"
+949,2025-04-01,Mumbai,Maharashtra,Tata Consultancy Services,https://www.tcs.com/,"Tata Consultancy Services (TCS) is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys since its inception in 1968. Our consulting-led, innovation-driven services help businesses evolve as perpetually adaptive enterprises, staying ahead in an ever-changing digital landscape. Recognized for excellence in software development, we rapidly apply and scale new technologies, driving long-term value and scalable transformation. Many of these relationships have endured for decades, navigating every technology cycle from mainframes in the 1970s to Artificial Intelligence today.
+ 
+A part of the Tata Group, India’s largest multinational business group, TCS has a highly skilled workforce of over 607,000 consultants in 55 countries and 180 service delivery centers across the world.
+ 
+Caution against fraudulent job offers: TCS doesn’t charge any fee throughout the recruitment process. Refer here: https://www.tcs.com/careers/india/recruitment-fraud-alert","Job DescriptionWe are seeking a talented Machine Learning / ETL Engineer to join our IT team and take on the challenge of advancing our Business Intelligence initiatives. In this role, you will be responsible for designing, developing and optimizing ETL / ELT processes for large-scale data processing and leveraging Machine Learning frameworks to perform data quality and anomaly detection across 1st and 3rd party datasets. You will work closely with analysts, data scientists, and other stakeholders to understand business requirements and translate them into high quality solutions. As a key member of our Business Intelligence IT team, you will leverage your expertise in machine learning algorithms, data engineering, and data analytics to drive ETL / ELT solutioning from a wide variety of datasets. You will play a critical role in maintaining data integrity and ensuring the timely availability of data for analytical purposes. We are looking for someone who is not only technically proficient but also possesses strong problem-solving skills and a passion for continuous learning in the rapidly evolving business.Responsibilities• Architecting and implementing robust, high-performance data pipelines across various data sources (databases, APIs, web services) to efficiently process and transform large datasets. • Enable and ensure data collection from various sources and loading it to a data lake, data warehouse, or any other form of storage.• Proficiently utilizing cloud platforms Snowflake, AWS, GCP to build scalable data processing solutions, including managing data lakes and data warehouses. • Developing and implementing data quality checks and monitoring systems to ensure data accuracy and reliability throughout the data pipeline. • Contribute to data documentation and governance strategies, including data access controls, data lineage tracking, and data retention policies. • Collaborating closely with data analysts, data scientists, and business stakeholders to understand data needs, translate requirements into technical solutions, and deliver actionable insights. • Excellent analytical and problem-solving skills, with the ability to work independently and in a team environment.Qualifications:• 7+ years of experience with data warehouse technical architectures, ETL/ ELT, reporting/analytic tools, and scripting.• Extensive knowledge and understanding of data modeling, schema design, and data lakes.• 5+ years of data modeling experience and proficiency in writing advanced SQL and query performance tuning with on Snowflake in addition to Oracle, and Columnar Databases SQL optimization experience.• Experience with AWS services including S3, Lambda, Data-pipeline, and other data technologies.• Experience implementing Machine Learning algorithms for data quality, anomaly detection and continuous monitoring, etc.Required skills and experience:• Strong proficiency in Python, SQL for data manipulation and processing. • Experience with data warehouse solutions for Snowflake, BigQuery, Databricks.• Ability to design and implement efficient data models for data lakes and warehouses.• Familiarity with CI/CD pipelines and automation tools to streamline data engineering workflows • Deep understanding of principles in data warehousing and cloud architecture for building very efficient and scalable data systems.• Experience with Apache Airflow and/or AWS MWAA• Experience with Snowflake’s distinctive features, including multi-cluster architecture and shareable data features.• Expertise in distributed processing frameworks like Apache Spark, or other big data technologies is a plus.Requirements:• Bachelor's degree in Computer Science, Information Technology, or a related field.• Proven experience as an ETL Engineer or similar role in data engineering.• Strong understanding of ETL concepts, tools, and best practices.• Proficiency in programming languages such as SQL, Python.• Experience with ETL tools/platforms Databricks, IBM DataStage is a major plus.• Knowledge of data warehousing concepts and architecture.• Ability to work collaboratively in a team and manage multiple tasks effectively.Salary Range: $90,000-$140,000 a year",Mid-Senior level,Machine Learning - ETL Engineer
+950,2025-04-04,Burbank,California,Zest AI,http://zest.ai,"Since 2009, Zest AI has been pioneering and perfecting AI technology with a mission to broaden access to lending using smarter, more efficient AI. 
+Serving more than $5.6T in managed assets with over 600 active models, Zest AI has been a proven partner to banks, credit unions, and specialty lenders, helping them decrease risk and boost growth opportunities throughout the lending process. 
+
+Zest AI leads the industry, powering thriving lending ecosystems with innovative, intelligent solutions across marketing, underwriting, fraud detection, lending intelligence, and more. With over 50 issued and pending patents across automation, accuracy, performance, and model explainability, this US-based technology-as-a-service company serves its clients from its headquarters in Los Angeles, California, and across the country.","Founded in 2009, Zest AI has been pioneering innovative AI technology with a mission to expand credit access to create opportunities for more Americans to pursue their financial goals. Zest AI is transforming the $17 trillion US consumer credit market by delivering AI technology that helps lenders identify creditworthy borrowers overlooked by traditional methods, while leveling the playing field so financial institutions of all sizes can harness AI to provide better lending experiences.With over 50 issued and pending patents across automation, accuracy, performance, and model explainability, Zest AI is a leader in financial technology, providing financial institutions with AI tools that create a more resilient US financial system and a stronger U.S. economy. With over 600 active AI models, financial institutions rely on Zest AI's comprehensive suite of solutions spanning marketing, underwriting, fraud detection, lending intelligence, and more to make smarter lending decisions while improving profitability. This US-based technology as a service company is headquartered in Los Angeles, California.About the RoleWe’re seeking a backend Software Engineers that share the same passion in building enterprise-level web services that integrate with cutting edge machine learning technologies. We're a mission driven organization collectively challenging the traditional financial lending landscape; and we're seeking like-minded engineers to join our initiative! You will be joining a team of highly-skilled Software Engineers and Data Scientists, where your software design and systems development contributions will impact our clients businesses by +$100M in ROI. This hands-on position will empower opportunities to collaborate with technical teams across our organization to deliver on features while reinforcing engineering best practices. We are a language agnostic company that does not require you to have experience with specific technologies. Here at Zest AI, we prioritize intuition and seek like-minded engineers who can learn quickly so we can adapt to customer requirements and take advantage of new technologies as they change!What You’ll DoDesign, build, and maintain RESTful APIs for B2B SaaS solutionsDevelop Python packages and tooling for model deployment and data science workflowsAutomate engineering workflows, including CI/CD pipelinesWork with AWS or similar cloud platforms to deploy and scale servicesCollaborate with data scientists, product managers, and other engineers to meet business goalsWhat We’re Looking For4+ years of professional experience in backend or full-stack engineering, developing production codeProficiency in Python (preferred) or other OOP languagesHands-on experience with AWS or similar cloud technologiesFamiliarity with CI/CD best practicesDemonstrated experience designing and implementing RESTful APIsStrong CS fundamentals and problem-solving skillsExposure to production environments (bonus if in a B2B SaaS setting)Equal Opportunity StatementCreating a diverse and inclusive culture where all are welcomed, valued, and empowered to achieve our full potential is important to who we are and where we’re headed in the future. We know that unique backgrounds, experiences, and perspectives help us think bigger, spark innovation, and succeed together. Zest is committed to diversity, equity, and inclusion and encourages professionals from underrepresented groups in technology and financial services to apply.Our core values are Communication, Collaboration, Bias for Action, Client-centricity, and Heart. Learn more at Zest.ai and connect with us on Twitter @Zest_AI or our Insights blog (https://www.zest.ai/insights).",Mid-Senior level,Software Engineer [Core Product Team]
+951,2025-03-28,San Francisco,California,Scale AI,https://scale.com,"At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 
+
+The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
+
+Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. ","About ScaleAt Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.About This RoleThis role will lead the development of trust & safety models to detect fraud & violations on our platform at large scale. The ideal candidate will have experience in industry working on trust & safety to detect misuse via account and behavioral signals. Successful candidates will be impact oriented, have strong foundations in machine learning, and experience in deploying ML services to production.. This position requires not only expertise in classical machine learning but familiarity with neural networks and large language models, along with strong intuitions in regards to testing detection systems in the presence of extreme class imbalance. You will contribute to the future of AI by ensuring we deliver high quality data to leading foundation model builders by ensuring that the contributors on our platform are trustworthy and high quality.Ideally you’d have: Practical experience deploying machine learning models to production in a microservices cloud environment.Familiarity with LLMs and proficiency in frameworks like scikit-learn, Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.Strong written and verbal communication skills and the ability to operate cross-functionally. Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.Nice to have:Hands-on production experience developing models for detecting trust & safety violations.A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$176,000—$220,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.",Entry level,"Machine Learning Engineer, Fraud"
+952,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team IntroductionThe Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly TikTok users around the world. Our mission is to build a world where ""there is no hard-to-sell good-priced product in the world"".We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. This Internship Program Runs For 12 Weeks Beginning In May/June 2025. Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.ResponsibilitiesImprove the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales. Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.QualificationsMinimum Qualifications:Currently pursuing PhD in Computer Science or a related technical disciplineAble to commit to working for 12 weeks during Summer 2025Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.Preferred QualificationsGraduating December 2025 onwards with the intent to return to degree program after the completion of the internship.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $75- $75.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (Search E-commerce) - 2025 Summer (PhD)
+953,2025-04-02,Plantation,Florida,Chewy,http://careers.chewy.com,"At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. 
+
+We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
+
+We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
+
+At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
+
+Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
+
+We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
+
+We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.","Our OpportunityWe are seeking a talented and passionate Machine Learning Engineer II to join our growing team. In this role, you will play a crucial part in building and deploying machine learning solutions that empower our Chewy Customer Care teams. As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning lifecycle, from data preparation and model development to deployment and monitoring. You will have the opportunity to work on diverse projects and contribute directly to the success of the company.What You'll DoDesign and implement robust data pipelines for efficient data ingestion, processing, and feature engineering.Ensure data quality and consistency for model training and inference.Work with large datasets and apply data scaling techniques.Select and build appropriate machine learning models based on business requirements and data characteristics.Train and evaluate models using various techniques and metrics.Fine-tune models to achieve optimal performance and efficiency.Deploy machine learning models to production environments, ensuring scalability, reliability, and maintainability.Implement monitoring and alerting systems to track model performance and identify potential issues.Optimize models for inference speed and resource utilization.Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions.Effectively communicate technical concepts and findings to both technical and non-technical audiences.What You'll NeedBachelor's degree in Computer Science, Machine Learning, or a related field.3+ years of experience as a Machine Learning Engineer or in a similar role.Strong programming skills in Python or another relevant language.Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).Experience with SQL and relational databases.Nice To HaveFamiliarity with big data technologies (e.g., Spark, Iceberg, dbt).Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift).Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly).Knowledge of retail and e-commerce.Solid understanding of machine learning algorithms and best practices.Experience with cloud computing platforms (e.g., AWS, Azure, GCP).Excellent communication and presentation skills.The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.We offer different types of insurance, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.Salaried-exempt team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.Pay Range$98,500—$183,500 USDChewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.If you have a question regarding your application, please contact HR@chewy.com.To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.",Entry level,Machine Learning Engineer II
+954,2025-04-04,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways.We’re looking for a Data Scientist to join Snap Inc.What you’ll do:Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisionsDrive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'Collaborate with product managers, engineers, product marketers, and designersKnowledge, Skills & Abilities:Expertise using data modeling skills to identify key product trends and new product opportunitiesAbility to design implement, and track core metrics to analyze the performance of our productsAbility to create visuals, dashboards, and reports to effectively communicate your insightsAbility to collaborate with engineers, product managers, and other cross-functional teamsAbility to initiate and drive projects to completion with minimal guidanceAn understanding of Snapchat with great product sense and product understandingMinimum Qualifications:BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience1+ years of experience in quantitative analysis & data science or a related fieldPreferred Qualifications:1+ years of experience using SQL or similar big data querying languages1+ years of experience with programming language, such as Python or R1+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniquesAdvanced degree in applied mathematics, statistics, actuarial science, economics or related fieldExperience in a product-focused role at a social media, online advertising, digital media and/or mobile technology companyExperience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research. If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $118,000-$176,000 annually.Zone B:The base salary range for this position is $112,000-$167,000 annually.Zone C:The base salary range for this position is $100,000-$150,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Data Scientist, 1+ Years of Experience"
+955,2025-04-08,Charlotte,North Carolina,My Peoples Card,mypeoplescard.com,"My Peoples Card is a revolutionary digital identity platform that transforms how professionals present themselves online. We provide a streamlined solution for creating, managing, and sharing professional profiles that serve as your digital business card in today's interconnected world.
+
+Our Mission: 
+
+To empower professionals to showcase their authentic selves through beautifully designed digital cards that make networking effortless and impactful.
+
+What We Offer: 
+
+My Peoples Card combines the convenience of traditional business cards with the power of modern technology. Our platform enables users to:
+
+- Create personalized professional profiles with custom layouts and designs.
+
+- Showcase skills, experience, and accomplishments in one centralized location.
+
+- Share professional information instantly via unique URLs.
+
+- Update information in real-time, ensuring contacts always have your latest details.
+
+- Track profile views and engagement analytics.
+
+Why My Peoples Card?
+
+In a world where first impressions increasingly happen online, My Peoples Card bridges the gap between traditional networking and digital presence. Our platform helps professionals stand out in search results, making it easier for potential employers, clients, and collaborators to find and connect with you.
+Whether you're a freelancer looking to showcase your portfolio, a job seeker wanting to make a memorable impression, or an established professional expanding your network, MyPeoplesCard provides the tools to elevate your personal brand. Join us in revolutionizing how professionals connect in the digital age.
+
+
+Connect With Us
+
+Visit us at www.mypeoplescard.com to create your professional digital identity today!","About UsMy Peoples Card (MPC) is a innovative platform that empowers professionals to enhance their online presence in Google Web Search. Following Google's discontinuation of their People Cards service that previously helped individuals in India, Nigeria, and South Africa establish an online presence, we're filling a crucial gap in the market. Our mission is to democratize digital identity and give everyone the tools to control how they appear in search results.The RoleWe are looking for an enthusiastic Entry-Level Software Engineer to join our growing development team. This role offers a unique opportunity to make a significant impact in a fast-paced startup environment while gaining valuable experience across our technology stack. You'll work with our seasoned developers to build and improve features that help users create compelling digital identities.Tech StackBackend: FastAPI, Python, PostgreSQL, RedisFrontend: JavaScript, React, HTML5, CSS3Key ResponsibilitiesCollaborate with senior engineers to develop new features and maintain existing onesImplement responsive UI components with ReactBuild and enhance RESTful API endpoints using FastAPIWrite clean, maintainable, and testable codeParticipate in code reviews and contribute to technical discussionsDebug issues and implement fixes across the applicationHelp optimize application performance and user experienceDocument code and contribute to technical documentationQualificationsBachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)Familiarity with Python and JavaScript programmingBasic understanding of web development concepts and frontend frameworksKnowledge of REST API principlesAbility to work with version control systems (Git)Strong problem-solving attitude and willingness to learnGood communication skills and ability to work in a teamNice to HavePrevious experience with FastAPI or other Python web frameworks (Django, Flask)Experience with React or similar frontend libraries/frameworksUnderstanding of database concepts and SQLFamiliarity with containerization (Docker)Experience with automated testing and CI/CD pipelinesWhat We OfferCompetitive salary and benefits packageFlexible working hours and remote-first cultureMentorship from experienced software engineersCareer growth opportunities in a rapidly scaling startupModern tech stack and best development practicesMeaningful work that impacts users across multiple countriesRegular team events and professional development budgetMy Peoples Card is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.",Entry level,Entry-Level Software Engineer
+956,2025-03-27,The Cloud,,Snowflake,http://www.snowflake.com,"Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.","Build the future of the AI Data Cloud. Join the Snowflake team.There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.We’re looking for a Senior Machine Learning Engineer to join Snowflake’s Corporate Machine Learning team. In this role, you will design, build, and optimize scalable systems that power AI & ML driven solutions across Snowflake’s business data. This is a high-impact engineering role focused on taking AI & ML applications from prototype to production, partnering closely with ML and Data Scientists and cross-functional teams to ensure robust and performant deployment of machine learning solutions.ON THE Corporate ML TEAM AT SNOWFLAKE, YOU WILL:Provide technical & thought leadership; designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions. Participate in all stages of development, ideation to production.Lead development for ML systems: Design, build, and maintain production-grade ML systems, with a focus on performance, scalability, and maintainability.Operationalize ML models: Partner with ML Scientists to translate models into efficient, reliable pipelines and services, enabling seamless deployment and monitoring in production environments.Architect end-to-end ML infrastructure: Own the full lifecycle of ML solutions — from feature engineering and data pipelines to model serving, CI/CD, observability, and retraining.Develop hands-on; analyze large amounts of data, manage data quality, design & develop complex ML models (and the ensuing ML solutions) including ML pipelines, deploy & manage production-grade applications end-to-end, and tell the story in a compelling manner.Collaborate across teams: Work closely with data scientists, data engineers, platform teams, and business stakeholders to deliver solutions that align with product and business needs.Champion MLOps best practices: Establish & maintain infrastructure/tooling for versioning, experimentation, testing, deployment, and monitoring of ML models.Enable reproducibility and scale: Develop reusable components, templates, and automation to scale ML development across use cases and teams.Mentor and guide: Provide technical mentorship to junior engineers and scientists on engineering practices and production workflows.OUR IDEAL CANDIDATE WILL HAVE:High levels of curiosity, eager enthusiasm & demonstrable experience working on open-ended problemsStrong software engineering foundations, with expertise in Python and experience developing production-quality systems using best practices in testing, modularity, and documentation.Deep experience in MLOps and ML infrastructure, including model deployment, serving, CI/CD pipelines, containerization and orchestration.Experience deploying AI/ML models in production, working with large-scale datasets, streaming data, or real-time inference systems.Hands-on experience with cloud-native data and compute platforms (Snowflake, AWS/GCP/Azure), including resource optimization and cost-aware design.Experience with machine learning or statistical modeling on large datasets; pre-processing, data quality, feature engineering; Understanding of modern AI applications, including deploying Gen-AI/LLM-based solutions with techniques like RAG, prompt chaining, or agentic workflows.A bias toward action and ownership, with the ability to take vague requirements and turn them into high-quality, scalable engineering solutions. Adaptability, to respond to fast-evolving project scope, adjusting strategies & plans accordingly; comfortable being scrappy.Excellent collaboration and communication skills, able to work across disciplines and present complex ideas to both technical and non-technical audiences.Demonstrate keen senses of ownership, collaboration and mentorship; with the ability to inspire the team & lead a project to completion.Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.comThe following represents the expected range of compensation for this role: The estimated base salary range for this role is $173,000 - $264,500.Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.",Mid-Senior level,Senior Machine Learning Engineer
+957,2025-03-22,Palo Alto,CA,Rivian and Volkswagen Group Technologies,https://www.rivianvw.tech,"Rivian and VW Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technologies that will set the standards for software-defined vehicles around the world. ","About UsRivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.Role SummaryAs a Senior ML Software Engineer specializing in agentic applications, you will play a pivotal role in integrating Large Language Models (LLMs) with our internal and customer-facing applications. Your focus will be on leveraging LLMs to drive cognitive automation, streamlining workflows, and enhancing decision-making. You'll also champion best practices in full-stack development, ensuring the creation of production-grade tools that are scalable, reliable, and maintainable.ResponsibilitiesDesign and Implement Agentic Systems: Architect and develop intelligent agents that utilize LLMs to automate workflows, optimize operations, and elevate user experiences across our internal and customer-facing applications.Integrate LLMs into Existing Infrastructure: Create robust and scalable integrations between LLMs and our current software ecosystem, facilitating seamless communication and data exchange.Drive Cognitive Automation: Leverage LLMs to automate complex cognitive tasks, such as information extraction, summarization, and question answering, to enhance efficiency and accuracy.Champion Full-Stack Development: Take ownership of the entire development lifecycle, from conceptualization and design to implementation and deployment, for machine learning-powered tools and applications.Establish Best Practices: Define and implement industry-leading standards for building production-grade, full-stack machine learning solutions, ensuring scalability, reliability, and maintainability.Stay Ahead of the Curve: Continuously research and experiment with emerging trends and techniques in machine learning and natural language processing, incorporating them into our solutions as appropriate.Collaborate Cross-Functionally: Work closely with Machine Learning engineers, product teams, and other stakeholders to gather requirements, define project scope, and deliver impactful solutions.Mentor and Guide: Share your expertise and provide guidance to junior team members, fostering a culture of continuous learning and development.QualificationsAdvanced Degree: Bachelors, Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field.Proven Experience: 5+ years of hands-on experience in software engineering, with a focus on backend development. Experience building agent applications and working with LLM’s.Strong Technical Skills: Expertise in Golang, Python or similar programming languages, as well as cloud and container frameworks such as AWS and Kubernetes.Deep Understanding: Solid grasp of machine learning principles, algorithms, and evaluation metrics, as well as software engineering best practices.Production Experience: Demonstrated success in deploying and maintaining scalable backend software in production environments.Collaborative Spirit: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional team.Passion for Innovation: A genuine interest in exploring the latest advancements in machine learning and natural language processing and applying them to real-world challenges.Pay DisclosureSalary Range/Hourly Rate for California Based Applicants: $162,800.00 - $203,500.00 (actual compensation will be determined based on experience, location, and other factors permitted by law)Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.Equal OpportunityRivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status.Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.Candidate Data PrivacyRivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies’ service providers, including providers of background checks, staffing services, and cloud services.Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information.Please note that we are currently not accepting applications from third party application services.",Not Applicable,"Sr. ML Software Engineer, GenAI"
+958,2025-03-24,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionThe Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer(SDE)/Machine Learning Engineer(MLE) to play pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs!Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry!So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this exhilarating adventure and let's revolutionize AGI together! #MLEKey job responsibilities Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs. Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications. Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.A day in the lifeAs a SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software.About The TeamJoin our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Master's degree in computer science or equivalent Experience in techniques like kernel fusion and custom kernels to improve GPU utilization, mixed precision training using lower precision and dynamic loss scaling while leveraging hardware specific mixed precision capabilities and/or demonstrated ability to implement efficient memory management like gradient (activation) checkpointing, gradient accumulation, offloading optimizer states, and smart prefetching.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2799313",Not Applicable,"Machine Learning Engineer, Amazon General Intelligence (AGI)"
+959,2025-04-04,Knoxville,TN,Tombras,http://www.tombras.com,"Tombras is a 450+ person, full-service agency with a digital mindset. We are one of the top independent agencies in North America. We are united by our philosophy: Connecting Data & Creativity for Business Results.®
+
+
+2023 AdAge A-List Standout 
+2022 ADWEEK US Agency of the Year (Finalist)
+2021 Fast Company World Changing Ideas
+
+
+Clients include Orangetheory Fitness, MoonPie, BUSH's Beans, Rolls-Royce, Pernod Ricard, Frito-Lay, Zaxby's
+
+
+
+","Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided.The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing:Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the resultsDevelop the framework and approach for marketing science and develop bespoke offeringsEmploy best in class tooling to develop proprietary Martech in partnership with the Technology and Media practicesIdentify new and innovative data sets that can be used to improve existing modeling work, or deliver net new modelsClearly articulate statistical results to clients, ultimately leading to continued client engagement and implementationWhat you bring:M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research(Optional) Experience in marketing science or advertising analyticsMastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice ModelsStrong competency with python, R, SQL, and other commonly used statistical toolsClient services mindsetAbility to influence clients and partner agencies to act on insightsAbility to distill complicated information into succinct graphical presentations for senior stakeholdersWhy Join Tombras Analytics?Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.Why you’ll want to work at Tombras:You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You’ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.Tombras Benefits:Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly officesUnlimited PTOGenerous parental leave for primary and non-primary caregivers.Medical (PPO or High Deductible option) for employee + dependents401(k) ParticipationEmployer-paid Dental & VisionA company culture of promotions from within and an atmosphere allowing for varied and rapid career development.New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values.Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.Tombras is an E-Verify employer and participates in the E-Verify program.This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.",Not Applicable,Data Scientist
+960,2025-03-29,Westerville,Ohio,AssetWatch®,https://www.assetwatch.com/,"Predictive Maintenance Simplified.  Trial Vero, our rapidly deployable, end-to-end, condition monitoring solution risk-free for thirty days for only $199 on up to 50 machine assets (200 sensors).  We install the complete solution and will have experts monitoring your machine health the same day.   
+
+Request a demo by calling 844.464.5652 or visit  https://www.assetwatch.com/#getstarted","AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.We're seeking an experienced Machine Learning Solutions Engineer to join our team and play a critical role in developing, deploying, and managing machine learning models on AWS. You will collaborate with cross-functional teams to implement end-to-end ML pipelines, ensure seamless model deployment, and continuously monitor and evaluate model performance. As a subject matter expert in MLOps, you will also mentor other engineers and contribute to the development of our company's ML engineering capabilities.What You'll DoInfrastructure & Pipeline Management: Set up optimal ML infrastructure on AWS and construct a robust pipeline, covering data preprocessing, model training, and tuning.Data Ingestion & Feature Management: Ensure efficient data ingestion mechanisms and design Feature Store Data Models for streamlined storage of engineered features.AI Model Deployment on AWS: Seamlessly transition trained models into AWS production environments, ensuring integration and performance.Automation & Scaling: Streamline the model training process with automation, ensuring scalability and adaptability.Inference Pipelines: Craft inference mechanisms post-training that prioritize client load balancing and utilize containerization.Security & Version Control: Implement top-tier security standards, especially during deployment, and maintain best practices for ML model and data versioning.Model Monitoring & Evaluation: Establish mechanisms for data drift or concept drift post-deployment and initiate A/B tests to guide model refinements.Team Engagement & Continuous Learning: Collaborate with interdisciplinary teams throughout the model's lifecycle and stay updated on MLOps trends, AWS, and machine learning innovations.Who You Are BS or MS in Computer Science, Computer Engineering, or related field.At least 5 years of industrial experience in ML and with AWS.Demonstrable experience in deploying and prototyping AI models on AWS.Hands-on experience with specific AWS compute tools including AWS/Amazon SageMaker, container and deployment in ECS, Lambda, etc.Proficiency with various purpose-built databases within AWS, particularly those optimized for ML workloads.Strong proficiency in programming languages such as Python and SQL.Deep understanding of containerization techniques, especially in the context of ML model inference.Bonus Points For Familiarity with LLMs, Vector Databases and integration tools such as LangChainUnderstanding of a deep learning framework such as TensorFlow/Keras, or PyTorch and HuggingFace for LLMsFamiliarity with AI Model Explainability and Interpretability techniquesExperience with cloud-based services for IIoTFamiliarity with condition monitoring and predictive maintenance methodologies.Experience with big data processing frameworks like Apache Spark or Hadoop.AWS Certification(s)Familiarity with Infrastructure-as-Code (IaC) tools like AWS CDK or TerraformWhat We OfferAssetWatch is a remote-first rapidly growing startup providing a game changing condition monitoring platform and mobile experience in the industrial manufacturing space.Competitive compensation package including share options. Flexible work schedule Full benefits and 401K Opportunity to make a real impact every day Opportunity to work with an exciting and growing team Unlimited PTO We have a distributed team that works remotely across locations in the United States. We are open to candidates from most states but collaboration within core working hours is required.",Mid-Senior level,Machine Learning Solutions Engineer
+961,2025-04-08,Columbus,Ohio,BlockTXM Inc,http://www.blocktxm.com,"At BlockTXM, we're transforming the IT consulting and business process services landscape by expertly matching talents with opportunities.
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+As we continue to grow, we aim to create a global network of opportunities for both clients and talent, fostering connections that transcend borders and time zones.
+
+Our mission is to create an engaging and empowering talent experience that brings out the best in every individual. We believe in the power of remote work to transform lives, making the world more vibrant, one person at a time!
+
+Join us on this exciting journey as we continue to connect people with opportunities that allow their unique strengths and inner beauty to shine through. Remember, ""You alone decide what color your night shall be."" Embrace the future of work with BlockTXM – where every connection counts.","About the jobBuild the Path ForwardThe client, are attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.Manufacturing demands exceptionally high performance. We're developing intelligent robots to address the long-tail challenges in this industry. This has been a longstanding challenge that traditional robots have been unable to overcome. We are seeking a Senior Machine Learning Engineer with expertise in video generation, neural simulators, large-scale model training, and foundational model development, with a strong understanding of robotics and software engineering for a client based in Columbus, Ohio. Your expertise will help bring AI-driven robotic capabilities to life, enabling intelligent and adaptive machines.This role can be located in our Columbus, Ohio Headquarters or Remote.What You’ll DoGive our robots a world model where they can learn and imagine. Develop a multimodal neural simulator for manufacturing tasks. Full stack AI engineering including but not limited to data pipelines, model training, and model deployment. Design, train, and optimize large-scale models from scratch for robotic perception and control.Stay up to date with advancement generative AI to improve the fleet performance.Who You AreBuilt and deployed modern AI robotics systems in an industry setting.You have projects related to neural simulators and world models.Experience with training video generation models.Experience with training large models and relevant tooling and infrastructure.5+ years of experience in machine learning, deep learning, and robotics applications.Strong software engineering skills with expertise in Python and ML frameworks (JAX, PyTorch, TensorFlow).Contributed to open-source projects or publications in top-tier robotics/ML conferences.",Mid-Senior level,Senior Machine Learning Engineer
+962,2024-05-31,Miami,Florida ,Maverc Technologies,http://Www.Maverc.com,"Maverc brings proven operational excellence, flexibility and customer-focused innovation together to drive progressive outcomes at the pace of business. 
+
+Cybersecurity capabilities that span risk management and transformation, threat management, security operations, and integration and innovation, aiding organizations in fulfillment of stronger and more robust cybersecurity programs that support business necessities and outcomes. At Maverc, we are transforming cybersecurity to enable clients to modernize their consumption models, maximize value, achieve quantifiable results, and achieve complete solutions and business alignment.","Become part of a team solving the most significant Cybersecurity & IT Challenges and helping keep the world's largest and most elite brands safer from cyber threats. At Maverc we have a powerful mindset based on our core values of being accountable, helpful, adaptable, and focused. Maverc Technologies is a proven and effective small business partner and consultant, recognized as a leader in providing cyber security and IT services to the Federal, State, and local Government and within the Intelligence Community. Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate customers.Job Duties And ResponsibilitiesA talented Machine Learning Engineer to support our AI Center of Excellence! In this role, you and your team will be responsible for the entire lifecycle of machine learning models, from managing and deploying them to troubleshooting any pipeline issues that arise. We offer a collaborative environment where you will work closely with engineers and data scientists to bring impactful ML solutions to life.Responsibilities include, but are not limited to:Manage and deploy machine learning models into productionDebug and troubleshoot issues with deployment pipelinesUtilize and understand core ML toolingWork with dataframes to manipulate and prepare data for modelsCollaborate with the various teams within the AI Center of Excellence to ensure successful model implementationAnalyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsRequirementsQUALIFICATIONS AND EXPERIENCE Active SECRETUS CitizenshipMinimum of 8 years' experience in DevOps or MLOpsUnderstanding of machine learning modeling techniques and algorithmsExperience with Python, Docker, Kubernetes and GitSkilled in common data science libraries (Scikit-learn, PyTorch, etc)Strong math skills (e.g. statistics, algebra)Problem-solving aptitudeExcellent communication and presentation skillsExperience with deploying open-source LLMsDataBricksSplunkContinuous Integration/Continuous DeploymentKnowledge of statistics and concepts in neural networksEducation: Bachelor's or Master's in Computer Science, Computer Engineering, or other related field.BenefitsJoin Maverc. Be Valued.**At Maverc, we are an inclusive community where diversity in all its forms is embraced, respected, and recognized as a true asset to the company. We are dedicated to fostering this inclusive environment, though we acknowledge that there is always room for improvement. Maverc is committed to evolving into a more inclusive and equitable organization, upholding the principles of equal employment opportunity and affirmative action.Maverc is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on gender, gender identity or expression, sexual orientation, race, age, religion, physical or mental disability, veteran status, or other protected characteristics under federal, state, and local laws.As a federal contractor, Maverc has implemented affirmative action programs to ensure non-discrimination and promote affirmative action in our policies and practices for qualified women, minorities, protected veterans, and individuals with disabilities. The narrative portion of Maverc's affirmative action plans is available for inspection at our offices during normal business hours. Employees and applicants interested in reviewing these plans should contact Human Resources at or hr@maverc.com for assistance.If you are interested in applying for a position with Maverc and require special assistance or accommodation to apply for a posted position, please contact our Human Resources department at hr@maverc.com or by calling 888-948-1468.Exceptional People, Outstanding BenefitsExceptional people are the cornerstone of any successful company. To attract and retain such talent, Maverc provides fulfilling work opportunities that complement a balanced lifestyle. We achieve this by offering exceptional benefits, enabling our employees to live and work well.Health Care Plan (Medical, Dental & Vision)Retirement Plan (401k, IRA)Life Insurance (Basic, Voluntary & AD&D)Paid Time Off (Vacation, Sick & Public Holidays)Training & DevelopmentWork From Home",Mid-Senior level,Senior Machine Learning Engineer
+963,2025-03-29,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 2+ years of professional software development experience Proficiency in at least one programming language Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Hands-on experience with generative AI technologyPreferred Qualifications Bachelor's degree in computer science or equivalent Hands-on experience with at least one ML library or framework 1+ years of experience in developing, deploying or optimizing ML models. 2+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2921473",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center"
+964,2025-04-03,Palo Alto,CA,HP,http://www.hp.com,"We believe growth and fulfillment through technology is the Future of Work. Our vision is to deliver intelligent solutions that enable growth and more fulfilling work experiences wherever work gets done.
+
+Our technology – a product and service portfolio of personal systems, printers, and 3D printing solutions – was created to inspire our vision and we are doing everything in our power across climate action, human rights, and digital equity to make it so.
+
+We believe thoughtful ideas can come from anyone, anywhere, at any time. And all it takes is one to change the world.
+","Job Summary This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The role designs and develops methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions. The role develops programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.Responsibilities Oversees data mining using modern tools and programming languages. Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models. Drives the implementation of models to uncover patterns and predictions creating business value and innovation. Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights. Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences. Leads a project team of data science professionals and provides guidance, training and mentoring to less experienced staff members. Collaborates and communicates with project team regarding project progress and issue resolution. Represents the data science team for all phases of larger and more-complex development projects. Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters. Maintains proficiency within the data science domain by keeping up with technology and trend shifts.Education & Experience Recommended Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.Preferred Certifications Programming Language/s Certification (SQL, Python, or similar)Knowledge & Skills Algorithms Amazon Web Services Apache Spark Artificial Intelligence Big Data Computer Science Data Analysis Data Mining Data Science Data Visualization Deep Learning Machine Learning Natural Language Processing Predictive Modeling Python (Programming Language) R (Programming Language) SQL (Programming Language) Statistical Modeling Statistics Tableau (Business Intelligence Software) Power AutomateCross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer CentricityImpact & Scope Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.Complexity Responds to moderately complex issues within established guidelines.Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.The base pay range for this role is $ 104 800 up to $149 350 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.BenefitsHP offers a comprehensive benefits package for this position, including:Health insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including;4-12 weeks fully paid parental leave based on tenure11 paid holidaysAdditional flexible paid vacation and sick leave (US benefits overview)The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.",Mid-Senior level,Data Scientist
+965,2025-04-03,Omaha,Nebraska,Aviture,https://www.aviture.us.com,"Unlock the Art of the Possible with Aviture. As your trusted partner in innovation, we specialize in engineering, business solutions, and custom software solutions — empowering organizations to dream bigger, move faster, and build better.","What is Aviture?Aviture is a full-service technology consulting firm with expertise in software solutions for both commercial and government organizations.We believe software doesn’t mean anything unless it solves a problem, so we create technology to enable users, open possibilities, and create meaningful impact.“I wanted to create a company that I would have wanted to work at when I was an engineer.” — Mark Griffis, PresidentWe are headquartered in Omaha, Nebraska, with remote employees across the nation: Las Vegas, Washington D.C., Austin, Dallas, Portland, Green Bay, Kansas City, Madison, Minneapolis, and Orlando, just to name a few.What is Aviture’s Art of the Possible?Along with our mission-driven team’s deep expertise in a wide range of development languages, we employ a disciplined agile approach to define goals upfront, keep organizational value at the forefront, and set the pace for rapid, iterative innovation that transforms organizations. We call this the Art of the Possible.The Solutions We’ve Created Have Saved lives in the California wildfires and southern U.S. flooding Provided security for the 2020 Presidential Inauguration, Super Bowl, and post-attack Boston Marathon Enabled augmented-reality training environments for surgeons Increased transparency and promoted patient wellness in hospitals and senior care facilities Combined computer vision and robotics to automate dangerous manual labor tasks And much more!Why You’ll Want to Live AviturianAviturians Create Technology That Makes a Meaningful Difference In Someone’s Life. We’re a Team Made Up Of Designers, Engineers, Developers, And Inventors Who Believe Technology’s Purpose Is To Empower Users To Change The World. Here Are The Values That Guide Us Embody integrity Seek ownership Stay hungry Remain grounded Create impact Challenge with respectWe’ve built our culture around creativity, continuous learning, and our shared values. If that sounds like something you’d like to be a part of, then join us today!RequirementsAviture is seeking a Software Engineer Intern to participate in all phases of the software development process including design, development, testing, and deployment of custom solutions. The Software Engineer Intern will be a contributing member of a development team providing solutions to one of Aviture's clients. Engineers at Aviture participate by providing feedback on the code written by their teammates through peer-reviews. They also incorporate feedback they receive from their teammates into their solutions.Required SkillsCurrently working on obtaining a bachelor's degree preferably in Computer Science, Software Engineering or related field of studyComfortable working in a collaborative environment and providing status on a daily basisInterest and ability to learn new technologies and techniquesPassionate about delivering quality software that solves real-world needsAble to multi-task and work in a dynamic, fast-pace environmentGood verbal and written communication skillsUS CitizenBenefitsPaid InternshipFree lunch FridaysQuarterly company eventAviture hosted Speaker Series",Internship,Software Engineer Internship
+966,2025-03-25,Atlanta,Georgia,Calendly,http://Calendly.com,"At Calendly, our vision is to take the work out of connecting with others so you can accomplish more. 
+
+Our scheduling automation platform helps individuals, teams, and organizations globally automate meetings by removing the back and forth with scheduling. Our platform enables companies to close deals, hire candidates, build relationships, and grow their business — faster. 
+
+More than 20 million users across 230 countries use Calendly to simplify meetings and collaborate more effectively and efficiently. ","About The Team & OpportunityWhat’s so great about working on Calendly’s Data Science & Machine Learning team?We make things possible for our customers through innovation in data, analytics and AI.Why do we need you? Well, we are looking for a Senior Machine Learning Engineer who will bring the track record of delivering business value through executing hands-on full machine learning lifecycle. You will report to the head of Data Science & Machine Learning and will be responsible for driving new initiatives using the latest advancements in ML, working closely with cross-functional teams, and helping to drive business insights & growth as well as creating magical experiences for our end customers through innovation. We have a product focus and passion for using machine learning to solve real-world problems, and understand that being an effective MLE is about collaborating with people as much as it is about writing code. You will join a great data team and be an integral part of building new, machine learning-based experiences for internal and external customers alike.A day in the life of a Senior Machine Learning Engineer at CalendlyOn a Typical Day, You Will Be Working OnCollaborating cross-functionally with software engineers, product managers, and data scientists to understand business needs, define priorities, and contribute to impactful machine learning solutionsDeveloping and deploying ML models and pipelines at scale, supporting both batch and real-time use casesLeveraging cloud-based ML services and tools to build efficient, reusable, and high-performing machine learning systems that enable rapid model development and reliable servingOptimizing ML models for performance and scalability, ensuring they meet latency SLAs while handling production traffic; conducting live experiments to evaluate and improve model performanceWhat do we need from you?5+ years of industry experience in applied Machine Learning (or 3+ years with a PhD in a relevant field)A solid foundation in machine learning and statistics – Extensive experiences with probabilistic modeling, statistical inference, hypothesis testing, and traditional ML techniques; familiarity with recent advancements in large language models and related technologiesSolid software engineering skills – Proficiency in Python and familiarity with CI/CD for ML, containerization (Docker, Kubernetes), and model observabilityBackend engineering and ML infrastructure – Experience building scalable ML pipelines, integrating ML models into production, and working with cloud platforms (AWS, GCP, Azure); experience with distributed computing or database technologies is a plusFamiliarity with modern ML tools – Familiarity with PyTorch, TensorFlow, JAX, Hugging Face, LangChain, vector databases, and model-serving frameworksThe ability to take initiative, solve problems efficiently, and know when to seek helpAbility to thrive in ambiguity, move fast, and focus on delivering impactAbility to clearly articulate technical concepts and work cross-functionally with engineers, product managers, and analystsCuriosity and continuous learning – You stay updated on ML/AI advancements and explore opportunities to apply them effectivelyComfort with working remotely and with enabling tools like Slack, Confluence, etc.Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time What’s in it for you? Ready to make a serious impact? Millions of people already rely on Calendly’s products, and we’re still in the midst of our growth curve — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey.If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com . Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Alabama, Delaware, Hawaii, Idaho, Montana, North Dakota, South Dakota, Nebraska, Iowa, West Virginia, and Rhode Island, you will not be eligible for employment. Note that all individual roles will specify location eligibility.All candidates can find our Candidate Privacy Statement hereCandidates residing in California may visit our Notice at Collection for California Candidates here: Notice at CollectionThe ranges listed below are the expected annual base salary for this role, subject to change.Calendly takes a number of factors into consideration when determining an employee’s starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity.Base salary is just one component of Calendly’s total rewards package. All full-time (30 hours/week) employees are also eligible for our Quarterly Corporate Bonus program (or Sales incentive), equity awards, and competitive benefits.Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows:Tier 1: San Francisco, CA, San Jose, CA, New York City, NYTier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA.Tier 3: All other locations not in Tier 1 or Tier 2Tier 1 Salary: $188,800 USD - $255,200 USDTier 2 Salary: $173,000 USD - $234,000 USDTier 3 Salary: $157,300 USD - $212,700 USD",Not Applicable,Senior Machine Learning Engineer
+967,2025-04-09,Oakland,California,Block,https://block.xyz/,"Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. ","Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.The RoleThe Block Financial Crimes Machine Learning team is responsible for detecting, preventing, and reporting illegal activity across all markets in which Block operates. We work globally with partners in business, engineering, counsel and product to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.We leverage Machine Learning as an integral part of our toolkit to fulfill our mission. We employ scalable solutions in order to monitor hundreds of billions of dollars in transactions. We uncover and put an end to money laundering, terrorist financing, and other illegal activities before they impact our users. Additionally, we improve workflow and case tools, adding features that empower investigator productivity and automate the high volume of monitoring. We are looking for senior MLEs interested in building scalable frameworks for deploying machine learning solutions in production environmentsYou WillDesign and build services and tooling that support our ML modelers and analystsIntegrate diverse data streams across products to build high-quality signals that power efficient modelsBe the MLOps lead and facilitate modelers on the team by unblocking access to the infrastructure/tools necessary for development & production workDevelop prototypes and partner with ML modelers to encourage adoption of new tools and technologiesProactively identify new opportunities and future needs of our ML teamsLead by example by applying ML and engineering best practicesStay current on ML infrastructure changes at Block and advocate/educate the team about new developments by sharing resources, demos and PoCsHave a significant impact on influencing team culture and directionYou Have5+ years of software engineering or machine learning experienceA degree (preferable graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical fieldAn ability to maintain critical production software and build new production software from scratchPrior experience working with product, engineering, and business to prioritize, scope, design, and deploy ML tooling and infrastructure at scaleNatural curiosity and desire to grow and help shape all aspects of our small and growing teamExcellent written and oral communication skills, both technical and non-technical, and are comfortable working with a cross-functional, globally distributed teamWe're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D pageBlock will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and ""fair chance"" ordinancesBlock takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.Zone A$189,000—$283,600 USDZone B$179,600—$269,400 USDZone C$170,100—$255,100 USDZone D$160,700—$241,100 USDEvery benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.Privacy Policy",Mid-Senior level,"Senior Machine Learning Engineer, Financial Crimes, Block"
+968,2025-03-31,Wilmington,OH,R+L Carriers,https://rlc.com,"Based in the United States, R+L Carriers is a Global Freight Transportation and Logistics company that has remained family-owned and operated since 1965. R+L Carriers offers one of the most comprehensive networks of nationwide service centers for LTL, Truckload, Expedited, and Cross-Border Shipping. In addition to its core shipping solutions, R+L Carriers has a portfolio of services that extends to International Supply Chain Management, Warehousing, and Customs Brokerage.","Job DescriptionEssential Duties and Responsibilities:Work with large amounts of structured and unstructured data.Work with internal stakeholders to explore and understand business data.Apply complex analytical techniques to derive actionable insights.Design and implement data science applications.Design, build, automate, deploy and maintain machine learning production pipelines.Implement machine learning model lifecycle management framework.Build model performance tracking tools, to monitor month over month model performance, identify drivers and provide recommendations for model performance improvementCollaborate with other salesforce data science and engineering teams to establish, formulate and build insight-based feature store.Author technical documentation and reports to communicate process and resultsQualificationsBachelor or Masters degree in Physics, Mathematics, Statistics, Computer Science or related field with project experience in machine learning and statistical modeling2-3 years hands on experience in building data science applications and machine learning pipelines.Working knowledge of one or more SQL languages: Oracle, MySQL, PostgreSQL, Redshift, etc.Working knowledge of one or more scientific programming languages/packages: Python or RDevelopment experience in at least one programming language: Python, Java, C++, etc.Knowledge of common machine learning and statistics frameworks and conceptsExperience with large data sets, distributed computing and cloud computing platforms.We offer a comprehensive benefits package that includes medical, dental, vision, life, a 401(k) retirement plan and free vacation lodging at our employee resorts in Daytona Beach, FL, Big Bear Lake, CA, Ocean Isle Beach, NC, and Pigeon Forge, TN.",Entry level,Machine Learning Engineer
+969,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an Software Development Engineer (SDE) on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsA day in the lifeAs You Design And Code Solutions To Help Our Team Drive Efficiencies In Software Architecture, You’ll Create Metrics, Implement Automation And Other Improvements, And Resolve The Root Cause Of Software Defects. You’ll Also Build high-impact Gen AI solutions to deliver to our large customer base Participate in design discussions, code review, and communicate with internal and external stakeholders Work cross-functionally to help drive business solutions with your technical input Work in a startup-like development environment, where you’re always working on the most important stuffAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technologyPreferred Qualifications 3+ years of full stack development experience Bachelor's degree in computer science or equivalent Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or frameworkAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2937070",Not Applicable,"Machine Learning Engineer, Gen AI Innovation Center, AWS"
+970,2025-03-19,China,China,ByteDance,https://job.bytedance.com/en/#/,"ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok.
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+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. 
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+Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.
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+We have over 110,000 employees based in more than 30 countries globally. Join us.","ResponsibilitiesThe mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer in MLDev (Machine Learning System) to join our team to support and advance that mission.Responsibilities: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models. Responsible for building a flexible and easy-to-use Machine Learning development API framework. Responsible for collaboration with model teams and providing general solutions to meet their requirements. Convert high-level ML models into formats that can run efficiently on different hardware, and optimize performance.QualificationsMinimum Qualifications: Proficient in Python/C/C++, and have solid programming skills. Familiar with deep learning frameworks (TensorFlow/Pytorch). Capable of using compiler development tools such as MLIR, LLVM, as well as parallel computing platform such as CUDA. Familiar with common machine learning models (MLP/WordEmbedding/Transformer).Preferred Qualifications: At least 5 years of experience in GPU performance optimization. Experience in developing and deploying large-scale systems. Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $413250 - $555750 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About UsFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.Why Join ByteDanceInspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.Reasonable AccommodationByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Entry level,Machine Learning Engineer - MLDev
+971,2025-03-21,San Francisco,California,Pinterest,https://www.pinterest.com/,"Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 550+ million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments. ","About PinterestMillions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics.At Pinterest our goal is to inspire Pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 500M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience.Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest’s vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable skin tone, hair pattern search refinements, and more recently, body type.We are looking for a Tech Lead Engineer to steer pivotal engineering initiatives in the Responsible AI space, collaborating with senior leaders to refine and set our technical direction. You’ll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you’ll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest.What You'll DoLead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI. Collaborate with other engineering teams (trust and safety, user modeling, content understanding,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.Mentor junior engineers on the Responsible AI team and across the company on the R-AI space.Work with the team and senior leaders at the company to define and drive technical strategy in this area.What We're Looking For Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations.Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs) and their applications in large-scale Search and Recommender Systems.Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact.5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products2+ years experience leading cross-team engineering efforts.Masters or PhD in Comp Sci or related fieldsDesired skills:Demonstrated track record in shaping and executing large-scale technical roadmaps, balancing immediate needs with long-term vision, defining clear OKRs, and orchestrating cross-functional efforts to deliver production-grade solutions that significantly enhance user experiences.Deep expertise in designing and scaling backend and ML systems for high-traffic, user-facing products, with a full-stack understanding of system architecture, data pipelines, and model deployment workflows.Proven success in collaborating with engineering teams to deploy ML capabilities that improve fairness and reduce bias in recommendation, content understanding, and ranking systems at scale.Relocation Statement:This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.In-Office Requirement StatementWe let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.Information regarding the culture at Pinterest and benefits available for this position can be found here.US based applicants only$208,145—$364,254 USDOur Commitment To InclusionPinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.",Mid-Senior level,Staff Machine Learning Engineer - Responsible AI
+972,2025-04-03,New York,NY,Imprint,http://www.imprint.co,Come and build the easiest and most rewarding way to pay!,"Who We AreImprint is building a next-generation co-branded credit card company to serve America’s great brands. Some of our partners include H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer. Imprint is backed by Khosla Ventures, Kleiner Perkins, and Thrive Capital. We are focused on building a brilliant team who want to change payments and who embody our Operating Principles.The TeamThe Data Analytics team at Imprint builds the data foundation that powers smarter, faster decision-making. We develop infrastructure and analytics systems that support both daily operations and long-term strategy, enabling high-quality insights into customer behavior, product performance, and business growth. Our work helps teams across Imprint make informed, data-driven decisions at scale.You’ll be part of a high-trust, high-impact team where your work won’t just be seen—it’ll shape how we grow.What You’ll DoApply statistical inference, experimentation, and behavioral analytics to improve LTV/CAC and accelerate feedback loops.Be a champion of A/B testing. Partner with cross-functional teams to design, analyze, and interpret A/B tests correctly, rigorously measuring impact with scalable frameworks and data tooling.Build segmentation frameworks and predictive models to drive targeting and personalization.Translate data into clear narratives that influence product decisions, marketing campaigns, and executive strategy.Support Automation projects as needed—e.g. anomaly detection, partner data reporting, or internal self-serve tools/dashboards.What We Look For6+ years of experience in data science, analytics, or a related field—ideally at a high-growth startup or fintech company.Proven expertise in statistical inference, causal analysis, and experimentation design.Experience with marketing or product analytics (e.g., user segmentation, campaign attribution, experimentation).Strong SQL and Python skills. You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet.A highly analytical mindset with a bias toward action.Ability to clearly communicate complex findings to technical and non-technical audiences alike.Comfortable owning projects end-to-end and collaborating cross-functionally to drive impact.Bonus Points ForExperience building or scaling experimentation infrastructure.Familiarity with dashboarding tools (e.g., Sigma, Looker).Experience in credit, lending, or card products. Exposure to lifecycle marketing or prescreen modeling.Perks & BenefitsCompetitive compensation and equity packagesFlexible vacation policyFully covered, high-quality healthcare including fully covered dependent coverageAdditional health coverage includes access to One Medical and option to enroll in an FSA16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parentsAccess to industry-leading technology across all of our business units — stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivityAnnual salary range: $150k - $250k, and competitive equity packageImprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.",Entry level,Data Scientist
+973,2025-02-17,Irvine,CA,Rivian,https://careers.rivian.com/,"Doing something different is never easy. It requires courage, optimism and grit. Core to our mission is building a team of adventurous individuals determined to make a positive impact on the world. This means challenging ourselves constantly. Stretching beyond the bounds of conventional thinking. Reframing old problems. Seeking new solutions. And operating comfortably in a space of uncertainty. While our backgrounds are diverse, our team shares a love of the outdoors and a desire to protect it for future generations. Do you like doing the impossible? We’d love to hear from you.","At Rivian, our mission revolves around developing vehicles powered by software and data. As a Staff Machine Learning Engineer, you will be a crucial part of our team, working alongside engineers, data scientists, and domain experts to build models at scale, predict vehicle performance, and optimize SW parameters throughout the vehicle's lifetime. We leverage the power of big data collected from our extensive customer and commercial fleets to achieve this.  We are looking for a Staff Machine Learning Engineer specializing in Deep Learning to build cutting-edge models for vehicle intelligence, anomaly detection, and predictive maintenance. If you thrive in a research-driven, applied AI environment, this is the perfect opportunity to push the boundaries of GANs, VAEs, Transformers, and Autoencoders in real-world applications. Develop and optimize Deep learning models for vehicle control, user-interaction models, and dynamic decision-making.Apply Imitation Learning to enhance vehicle behavior prediction and self-adaptive AI systems.Architect Generative AI models (GANs, VAEs, Transformers, Autoencoders) for anomaly detection, predictive maintenance, and real-time vehicle intelligence.Build self-learning AI systems that improve vehicle performance over time through continuous learning from fleet data.Design unsupervised & self-supervised learning models to process high-dimensional vehicle telemetry data.Collaborate with data scientists, software engineers, and vehicle system experts to deploy AI-powered automotive solutions.Work on LLM-based automation tools, including AI-driven requirement management and chatbot-based vehicle control support.Improve MLOps pipelines for efficient AI/ML deployment and lifecycle management. M.S. or Ph.D. in Machine Learning, AI, Computer Science, or a related STEM discipline.Expertise in Deep Learning, Reinforcement Learning, and Imitation Learning.Experience developing Generative AI models (GANs, VAEs, Transformers, Autoencoders).Proficiency in deep learning frameworks (TensorFlow, PyTorch).Strong software engineering skills in Python, Apache Spark, and cloud-based ML frameworks (AWS/GCP/Azure).Experience optimizing AI models for real-time decision-making and large-scale deployment.",Mid-Senior level,"Staff AI/ML Engineer, Vehicle Software"
+974,2025-04-02,Bentonville,Arkansas,Walmart,https://bit.ly/3IBowlZ,"Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands, you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world. 
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+We are ecstatic to have been named a Great Place to Work® Certified May 2023 – May 2024, Disability: IN 2023 Best Places to Work, and Fast Company 100 Best Workplaces for Innovators 2023.
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+This is that place where your passions meet purpose. Join our family and build a career you’re proud of.","We are seeking a talented and experienced Senior Software Engineer to join our dynamic team in Sunnyvale, CA. In this role, you will be responsible for designing, developing, and maintaining scalable systems while utilizing cutting-edge technologies. This is an onsite position, and we are looking for individuals who can bring strong technical expertise to the team.The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.Key Responsibilities:Design and implement high-performance software solutionsWork with big data technologies like Hadoop and Kafka to build scalable systemsDevelop data pipelines and manage workflows with tools such as AirflowCollaborate with cross-functional teams to define and refine system architectureTroubleshoot and optimize system performanceWrite high-quality, maintainable code in JavaParticipate in code reviews, providing feedback and mentorship to junior developersEnsure the reliability, security, and scalability of our systemsRequirements:9+ years of experience as a Software EngineerStrong proficiency in Java and object-oriented programmingHands-on experience with Hadoop, Kafka, and AirflowProven experience in building and maintaining scalable distributed systemsSolid understanding of database management and data processing frameworksExcellent problem-solving skills and attention to detailAbility to work independently as well as part of a collaborative teamStrong communication skillsAdditional Information:Location: Onsite in Sunnyvale CAVisa Sponsorship: Not availableIf you’re passionate about building scalable systems with modern technologies and enjoy solving complex problems, we would love to hear from you.",Mid-Senior level,Senior Software Engineer
+975,2025-02-28,Irvine,CA,Rivian,https://careers.rivian.com/,"Doing something different is never easy. It requires courage, optimism and grit. Core to our mission is building a team of adventurous individuals determined to make a positive impact on the world. This means challenging ourselves constantly. Stretching beyond the bounds of conventional thinking. Reframing old problems. Seeking new solutions. And operating comfortably in a space of uncertainty. While our backgrounds are diverse, our team shares a love of the outdoors and a desire to protect it for future generations. Do you like doing the impossible? We’d love to hear from you.","As a Senior ML Software Engineer specializing in agentic applications, you will play a pivotal role in integrating Large Language Models (LLMs) with our internal and customer-facing applications. Your focus will be on leveraging LLMs to drive cognitive automation, streamlining workflows, and enhancing decision-making. You'll also champion best practices in full-stack development, ensuring the creation of production-grade tools that are scalable, reliable, and maintainable. Design and Implement Agentic Systems: Architect and develop intelligent agents that utilize LLMs to automate workflows, optimize operations, and elevate user experiences across our internal and customer-facing applications.Integrate LLMs into Existing Infrastructure: Create robust and scalable integrations between LLMs and our current software ecosystem, facilitating seamless communication and data exchange.Drive Cognitive Automation: Leverage LLMs to automate complex cognitive tasks, such as information extraction, summarization, and question answering, to enhance efficiency and accuracy.Champion Full-Stack Development: Take ownership of the entire development lifecycle, from conceptualization and design to implementation and deployment, for machine learning-powered tools and applications.Establish Best Practices: Define and implement industry-leading standards for building production-grade, full-stack machine learning solutions, ensuring scalability, reliability, and maintainability.Stay Ahead of the Curve: Continuously research and experiment with emerging trends and techniques in machine learning and natural language processing, incorporating them into our solutions as appropriate.Collaborate Cross-Functionally: Work closely with Machine Learning engineers, product teams, and other stakeholders to gather requirements, define project scope, and deliver impactful solutions.Mentor and Guide: Share your expertise and provide guidance to junior team members, fostering a culture of continuous learning and development. Advanced Degree: Bachelors, Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field.Proven Experience: 5+ years of hands-on experience in software engineering, with a focus on backend development. Experience building agent applications and working with LLM’s.Strong Technical Skills: Expertise in Golang, Python or similar programming languages, as well as cloud and container frameworks such as AWS and Kubernetes.Deep Understanding: Solid grasp of machine learning principles, algorithms, and evaluation metrics, as well as software engineering best practices.Production Experience: Demonstrated success in deploying and maintaining scalable backend software in production environments.Collaborative Spirit: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional team.Passion for Innovation: A genuine interest in exploring the latest advancements in machine learning and natural language processing and applying them to real-world challenges.",Mid-Senior level,"Sr. ML Software Engineer, GenAI"
+976,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+977,2025-03-03,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
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+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
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+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer (Technical Leadership) - Machine Learning Responsibilities:Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficientEffectively communicate complex features & systems in detailUnderstand industry & company-wide trends to help assess & develop new technologiesPartner & collaborate with organization leaders to help improve the level of performance of the team & organizationIdentify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideasSuggest, collect and synthesize requirements and create an effective feature roadmapDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based modelsAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Experience leading projects with industry-wide impactExperience communicating and working across functions to drive solutionsExperience in mentoring/influencing senior engineers across organizationsProven track record of planning multi-year roadmap in which short-term projects ladder to the long-term visionExperience in driving large cross-functional/industry-wide engineering efforts12+ years of experience in programming languages (Python, C++, Java or R) with technical background8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligencePreferred Qualifications:Experience in shipping products to millions of customers or have started a new line of productExperience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/SparkAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$213,000/year to $293,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,Software Engineer (Technical Leadership) - Machine Learning
+978,2025-04-08,Mountain View,CA,Google,https://goo.gle/3DLEokh,"A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
+
+Check out our career opportunities at goo.gle/3DLEokh","Minimum qualifications:Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.Preferred qualifications:5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.PhD degree in Statistics, Data Science, Machine Learning, or, Physics, or, 3 years of work experience.About The JobDespite being used over one billion times per day, YouTube Search has only been recently explored from a data science perspective. There is quite a bit of unexplored territory where we can define foundational concepts with large scale impact and leverage.In this role, you will be the first go-to analyst to work on Search Verticals. Search Verticals is a full-stack area, and you will leverage your skills across multiple core competencies, such as ML classifier development, ranking, and experiments, to understand and optimize the YouTube Search Vertical experience.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .ResponsibilitiesCollaborate with stakeholders in cross-project and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .",Not Applicable,"Research Data Scientist, YouTube Search"
+979,2025-04-07,Brooklyn,NY,Etsy,http://www.etsy.com,"Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. Etsy Inc. employees – whether a team member of Etsy, Reverb, or Depop – tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
+
+Founded in 2005, Etsy is headquartered in Brooklyn, NY with additional offices in Dublin and Mexico City. As of December 31, 2023, our marketplaces connect 9 million active sellers – including 7 million on Etsy.com, 80% of whom are women – and 96 million active buyers in nearly every country in the world. In 2023, we facilitated over $13 billion in transactions.","Company DescriptionEtsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.Salary Range$163,000.00 - $211,000.00What's the Role?We are looking for a Staff Data Scientist to join our Marketing Analytics team in Brooklyn, supporting Etsy’s ATL & Brand Marketing teams with a focus on marketing mix modeling!This is a full-time position reporting to the Analytics Manager and the base salary range will be $163,000- $211,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.This role requires your presence in Etsy’s Brooklyn Office once or twice per week depending on your proximity to the office. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub may be the first to be considered. Learn more details about our work modes and workplace safety policies here.What’s this team like at Etsy? The Marketing Analytics team helps drive the success of marketing efforts at Etsy by providing meaningful insights, industry-leading measurement techniques, and access to the metrics, data, and tools needed for decision-making and optimization.Our mission is to demystify marketing with insights grounded in data, telling the story of how we attract and retain our users to teams, to senior management, and to the community. We partner with our peers in marketing, analytics, research, product, engineering, and finance through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience.As a key member of the analytics team, you will focus on marketing mix model testing and implementation, which is a critical source of measurement for our marketing teams. This position will focus heavily on automating complex data pipelines, developing and refining models, and building proprietary tools and techniques to advance Etsy’s marketing mix modeling practice.Learning new skills and techniques is not only a requirement but a perk of the job. We are always looking for opportunities to improve. Our mission is to demystify marketing with insights grounded in data, telling the story of how we attract and retain our users to teams, to senior management, and to the community.What does the day-to-day look like?Apply the latest advances in analytics to our marketing mix modeling (MMM) workstream, including data management, modeling, and report automationPrototype, optimize, and implement marketing mix models to guide our marketing team’s testing priorities and investment decision makingWork cross functionally with marketing teams and communicate your ideas and model capabilities to analytics and marketing stakeholdersContinually evaluate and refine your technical toolkit, sharing what you learn with the teamWork closely with analytics and marketing leaders to improve the quality and depth of our marketing measurement processesOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.Qualities that will help you thrive in this role are:You are a strong, independent, analytical problem solver who enjoys applying statistical techniques in addressing real-world problems.You have 6+ years of proven experience as a data scientist/analyst or in a quantitative role in which you have direct experience developing and testing marketing mix models.You have a Mastery of SQL (experience with BigQuery preferred) and advanced proficiency in R/Python required. Bonus points for experience with existing open source MMM packages, Looker, Looker Studio or other data visualization software.You are passionate about subjects such as experimental design, time series modeling, and causal inference.You are comfortable communicating technical findings clearly and effectively to both technical and non-technical stakeholders.Additional InformationWhat's NextIf you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.Our PromiseAt Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.",Mid-Senior level,"Staff Data Scientist, Marketing"
+980,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesThe Business Risk Integrated Control (BRIC) team is missioned to: Protect TikTok users, including and beyond content consumers, creators, advertisers; Secure platform health and community experience authenticity; Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.The BRIC team works to minimize the damage of inauthentic behaviors on TikTok platforms (e.g. TikTok, CapCut, Resso, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc.In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. This Internship Program Runs For 12 Weeks Beginning In May/June 2025. Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.Online Assessment (Only for RD)Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.Responsibilities Responsible for the research and development of algorithms for AI native applications and optimization of LLM (Large Language Models), driving the exploration and application of cutting-edge technologies. Enhance the capabilities of natural language understanding based on LLM, such as content understanding/classification, vector retrieval, structuring, and representation learning of short/long texts. Combine the most advanced LLM technology to summarize, understand, and classify user behavior/features. Explore the application of Agent in complex tasks and achieve the application of complex tasks in the risk control field based on LLM.QualificationsMinimum Qualifications: Currently pursuing a PhD in Computer Science, Computer Engineering, Math, Statistics or a related technical discipline Able to commit to working for 12 weeks during Summer 2025; Good coding standards, a passion for writing code, and the ability to produce high-quality designs and code. Excellent problem analysis and problem-solving abilities, capable of identifying the essence of issues from complex data. Experience in algorithmic research and development of mainstream risk control strategies and LLM systems development experience is a plus. Strong sense of responsibility, proactive attitude, and good communication and teamwork skills.Preferred Qualifications: Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship. Priority will be given to those who master the algorithm principles of LLM (Large Language Models), Fine-tuning, Prompt Engineering, vector databases, and Agent application frameworks such as LangChain/Autogen; familiarity with the latest LLM technologies and experience in training or applying them is a plus.Job InformationAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (LLM Risk Surface) - 2025 Summer (PhD )
+981,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+982,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+983,2025-04-01,Palo Alto,,BitGo,http://bitgo.com,"BitGo is the leading infrastructure provider of digital asset solutions, offering custody, wallets, staking, trading, financing and settlement out of regulated cold storage. Founded in 2013, BitGo is the first digital asset company to focus exclusively on serving institutional clients. 
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+BitGo is dedicated to advancing a digital financial services economy that is borderless and accessible 24/7. With multiple Trust companies around the world, BitGo is the preferred security and operational backbone for more than 1,500 institutional clients in 50 countries, including many of the world’s top brands, cryptocurrency exchanges and platforms. BitGo also secures approximately 8% of all on-chain Bitcoin transactions by value and is the largest independent digital asset custodian. For more information, please visit www.bitgo.com.
+","BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.This role will require being full-time onsite at our San Francisco office to support collaborative team dynamics and innovative problem-solving.BitGo is looking for a Software Engineer to join our Onboarding team and help us build an API-first platform for businesses and developers to launch crypto products.Responsibilities:Design and build scalable, well abstracted, and robust APIs, libraries, and services to empower our API-first platformOwn functionality and scalability features by taking responsibility from inception to deployment and customer integrationExpose and document functionality to the UI, third-party developers, and our internal and external toolingCollaborate with cross-functional teams to define, design, and ship new featuresWrite clean, maintainable, and efficient codeEnsure the performance, quality, and responsiveness of applicationsIdentify and correct bottlenecks and fix bugsContinuously discover, evaluate, and implement new technologies to maximize development efficiencyParticipate in code reviews and contribute to a culture of continuous improvementWork closely with product managers, designers, and other engineers to understand and refine product requirementsProvide mentorship to your peers in the broader engineering team through code reviews and education on best practicesSkills & Experience: We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.RequiredAt least 3+ years of proven experience of back-end and server-side developmentGreat at algorithm design, problem solving, and complexity analysisStrong experience with of TypeScript, Node.js and ExpressStrong experience with Node.js, TypeScript, PostgreSQL and MongoDBStrong experience with RESTful API designExperience with microservices and service-oriented architecturesExperience with unit and functional testing and debuggingExperience in Git/GitHub and branching methodologies, code review tools, CI tools, etc.Ability to move quickly and adjust course as needed in a fast-paced environmentBachelor’s degree in computer science, applied mathematics, or another technical discipline from a top universityUnderstanding of and strong interest in cryptocurrencies and blockchainPreferredExperience developing consumer-facing crypto productsProven experience building public-facing APIs in a production environmentAbility to work full-stack and familiarity with React Experience working with clients and/or business partnersFamiliarity with any of the following: digital wallets, clearing and settlement, lending, trading, accounting systems, etcWhy Join BitGo?Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $150,000 - $180,000 USD base salary. Equity, an annual performance bonus and the benefits outlined below are also a part of this role's package.Here are some of the benefits* of working at BitGo:Competitive base salary, bonus and stock options100% company paid health insurance for employee, partner and dependentsUp to 4% 401k company matchPaid parental leave, Paid vacationFree custom lunches, dinners and snacks Computer equipment and workplace furniture to suit your needsGreat colleagues and inspiring startup environmentBenefits may vary based on locationCryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you’ll be able to look back and say you were part of the team that transformed investing.",Mid-Senior level,Software Engineer - Onboarding
+984,2025-04-03,Rothschild,Wisconsin,Foundation Finance Company Careers,https://careers.foundationfinance.com/,"Foundation Finance is one of the fastest-growing consumer finance companies in the nation. The company was founded in 2012 and has grown every year since. Certified as a Great Place to Work since 2017. When you begin your career at Foundation Finance, you join a close-knit, fun-loving group! Whether you work from the home office in Wisconsin or remotely from around the country, you’ll enjoy exciting activities and events that promote a feeling of unity among all employees. ","Machine Learning Engineer Description & Duties:The Machine Learning Engineer collaborates with the Data and ML Infrastructure team to deliver machine learning models to increase profitability by reducing Underwriting risk and creating operational efficiencies. This role creates new machine learning processes and evaluates existing ones, performs statistical analysis to resolve data set problems, and enhances the accuracy of predictive automation capabilities.Full-time | Remote* | USD $110,000.00 - USD $130,000.00 /Yr.Responsibilities:Essential Duties and Responsibilities include the following. Other duties may be assigned.Design machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.Ensure that algorithms generate accurate underwriting and user recommendations.Acquire, analyze, combine, synthesize, and structure data with clear definitions and sources for analytical consumption.Ensure that all models and processes comply with relevant regulations, data privacy, and security standards.Document machine learning processes, keeping policies and procedures up to date.Develop data products using continuous deployment and integration practices.Analyze, design, develop, deploy, and support data analytics products utilizing engineering best practices.Participate in agile story authoring, sizing, and demo sessions for product features.Develop reliable data pipelines that transform and aggregate data from source systems and data platforms.Establish and maintain ML platforms, develop ML model monitoring pipelines for model performance, data quality, and data drift - working closely with Decision Science, IT, and enterprise infrastructure teams, to enable automation and monitoring across the machine learning lifecycle.Other duties as assigned by management.Minimum Qualifications:Bachelor's degree in computer science, data science, mathematics, or a related field; Master’s degree or higher preferred.Minimum 1 year of professional experience in data acquisition, cleansing, feature engineering, debugging and software documentation, using programming languages, and using cloud platforms such as AWS, Azure, or GCP is required.To perform this job successfully, an individual should have knowledge of Word Processing software; Spreadsheet software; Development software and Design software.Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents.Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.Ability to effectively present information to top management, public groups, and/or boards of directors.*Remote Work: Foundation Finance Company LLC requires that remote employees must reside in one of the following states to be considered for any of our remote positions: AL, AR, AZ, CO, CT, FL, GA, IL, IN, KY, LA, MD, ME, MI, MN, MO, MS, NC, NJ, NV, NY, OH, OK, OR, SC, TN, TX, UT, VA, WA, and WI.About Foundation Finance:Foundation Finance Company (FFC) is one of the fastest-growing consumer finance companies in the U.S. We work with home improvement contractors nationwide to help them close more sales through the use of flexible financing plans. FFC's full-spectrum lending approach has driven billions in originations and helped many customers make needed improvements to their homes. We're making big investments in both infrastructure and employee talent to keep up with our growth, so the time is right to join our team! It's a fast-paced environment with room to advance. We offer a competitive salary, medical/dental/vision benefits, 401(k) with company match, a casual dress work environment and much, much, more.Working Conditions: Office environment with significant time spent sitting, typing and talking on the telephone.Foundation Finance Company provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.If you reside in the state of Colorado, please click on the following link to review our benefits: Foundation Finance BenefitsThese benefits are designed to support our employees in their professional growth, health, and overall well-being. Eligibility, coverage details, and enrollment processes will be provided during the onboarding process. At Foundation Finance Company, we are committed to fostering a positive work environment where employees can thrive both personally and professionally.",Mid-Senior level,Machine Learning Engineer
+985,2025-04-01,Dublin,CA,"iTradeNetwork, Inc.",http://www.itradenetwork.com,"iTradeNetwork is a leading supply chain management platform for the food and beverage industry, enhancing efficiency, visibility, and collaboration. We offer solutions for procurement, food safety, transportation, spend management, and data services. Our platforms helps retailers, growers, manufacturers, operators, and distributors streamline operations, ensure compliance, and optimize costs.
+
+With over 2,500 trading partners and $50 billion in annual transactions, iTradeNetwork is a key player in the perishables supply chain.","About iTradeNetworkAt iTradeNetwork, we provide advanced supply chain software and insights tailored to the food & beverage industry. Our mission is clear and ambitious: To feed the world. From the start, we’ve been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact.Our cutting-edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably. We’re proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 foodservice distributors, and 8 of the top 10 global food and beverage manufacturers.JOB SUMMARYAre you a machine learning enthusiast who thrives on transforming data into impactful insights? Do you dream in algorithms, data pipelines, and model architectures? We’re looking for a Machine Learning Full Stack Developer who is a true builder—someone who can roll up their sleeves, design, develop, and deploy scalable ML solutions. This isn’t just another job; it’s an opportunity to be part of a team that is shaping the next generation of AI-driven products that will directly drive growth.Key Responsibilities:Build the Future: Design, develop, and deploy end-to-end machine learning systems optimized for performance, scalability, and rapid deployment.AI-First Development: Leverage AI tools (GitHub Copilot, Cursor AI, ChatGPT, Otter AI) to enhance code efficiency, refactoring, debugging, and documentation.Rapid Prototyping: Rapidly prototype and deploy ML models and full-stack applications using AI-assisted development tools.ML & Data Pipelines: Build and optimize data pipelines for efficient ingestion, transformation, and analysis.LLM Integration: Implement and fine-tune large language models (LLMs) like GPT, BERT, and integrate them seamlessly into production systems.MLOps Excellence: Design, develop, and implement CI/CD pipelines for continuous deployment and monitoring of machine learning models.Cloud-Native Development: Build and maintain cloud-native ML applications on platforms like GCP, AWS, or Azure.Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into scalable ML solutions.Solve Complex Problems: Tackle technical challenges, from optimizing algorithms to deploying real-time machine learning systems.Tech Stack:Languages: Python, JavaML Frameworks: TensorFlow, PyTorch, Scikit-learnDatabases: BigQuery, PostgreSQL, Redis, MongoDBCloud & DevOps: Kubernetes, Docker, Terraform, GCP, AWSMLOps Tools: MLflow, Kubeflow, AirflowAI Tools: GitHub Copilot, Cursor AI, Otter AI, ChatGPTNLP & LLMs: GPT, BERT, Transformer architecturesCI/CD & Automation: GitHub Actions, JenkinsWhat You Bring:Bachelor’s degree in Computer Science, Engineering, or just equivalent hands-on experience with no degree!5+ years of hands-on experience in machine learning and full stack development, with at least 3+ years in data science and 3+ years in ML engineering.Proven ability to develop and deploy ML models with minimal requirements.Strong coding ability demonstrated via a HackerRank assessment (preferred HackerRank Gold Badge).Expertise in Python and Java for building production-grade ML systems.Strong experience with cloud platforms like GCP, AWS, or Azure.Deep understanding of MLOps best practices, including CI/CD pipelines and model monitoring.Ability to quickly understand and implement complex data models and algorithms.Strong problem-solving, analytical thinking, and debugging skills.Excellent communication and collaboration abilities.Why you will love working here:Competitive salary packagesComprehensive medical, dental, vision, and life insurance benefits for you and your familyFlex PTO for exempt employees and competitive PTO for non-exemptPaid parental leave for eligible employees401(k) matchingTuition reimbursement on approved programsGreat health & well-being benefits including Teladoc for general medical and mental health careThese benefits are only applicable to full-time employeesThis is a hybrid position, candidates must be located in the Bay Area, CA; Charlotte, NC; Denver, Colorado; and Atlanta, Georgia unless listed otherwiseAdditional Requirements:Must be able to demonstrate lawful ability to work in the United StatesiTradeNetwork, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran by applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability",Mid-Senior level,Machine Learning Engineer
+986,2025-03-31,Bethesda,MD,Lockheed Martin,https://www.lockheedmartin.com,"The world relies on what we do. 
+
+Headquartered in Bethesda, Maryland, with offices across the U.S. and around the globe, our team delivers solutions that strengthen national security, shape industries and push engineering  and technology to new levels. We collaborate to win. We put our customers first. And we perform with excellence.
+
+The best careers are built at Lockheed Martin. Join us.","Basic QualificationsTo excel in this role, you should possess the following qualifications and attributes: BS in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering or equivalent STEM field and at least 4+ year of related experience. Development, integration, troubleshooting experience with the Linux/Unix Operating System. Experience in software development, integration, troubleshooting using C or C++ or Java or Python Experience developing scripts using Bash or Python. Experience with software configuration technologies, such as YAML, XML, JSON.Job Code/TitleE1073:Software Engineer SrJob DescriptionWho we areLockheed Martin is a global leader in aerospace, defense, and technology solutions. Our Manassas campus is a thriving center of engineering expertise, fostering a culture that encourages creativity, excellence, and the creation of exceptional products. Our team is made up of dedicated professionals who are passionate about pushing the boundaries of what's possible.What We’re DoingAt Lockheed Martin, we're at the forefront of cutting-edge technology and innovation. Our campus in Manassas, Virginia is a hub for engineering excellence, where we tackle some of the world's most challenging engineering problems. We pride ourselves on our culture of creativity, excellence, and product innovation.The WorkLockheed Martin Rotary & Mission Systems is seeking a full-time Software Engineer. In this role, you will perform software development tasks supporting Navy programs. The successful candidate will have experience and knowledge of coding in Java/C++ on a Linux Operating System.This position is located at a facility that requires special access. The selected candidate will be required to hold an active government Secret security clearance.Why Join UsYour Health, Your Wealth, Your LifeJoining Lockheed Martin Means Becoming Part Of a Team That's Making a Significant Impact In The Field Of Engineering. When You Choose To Work With Us, You'll EnjoyAn excellent working environment equipped with state-of-the-art tools.The opportunity to work alongside industry leaders and top-notch professionals.A chance to be a part of solving some of the world's most challenging engineering problems.A culture that encourages creativity, excellence, and the development of remarkable products.If you're ready to take your career to the next level, work on groundbreaking projects, and be a part of a team that thrives on innovation, we encourage you to apply and be a part of our mission.Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.Learn more about Lockheed Martin’s competitive and comprehensive benefits package.#WeAreLM#WherethebestareBuilt#OneLMHotJobs#RMSC6ISR#rmsuswDesired Skills Basic understanding of Agile Full software life-cycle development. Experience with infrastructure as code (IaC) concepts and technologies Desire to integrate, test and troubleshoot and refactor software systems. Experience with software build tools, such as Jinkins, Gitlab, etc. Experience with Model Based Engineering. Experience with containerization technologies such as Podman or Docker as well as AWS or Kubernetes.Other Important InformationBy applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Ability to work remotelyOnsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.Select the Telework classification for this positionEmployee will work on-site full-timeAbility to TelecommuteNo telecommutingShiftFirstWork Schedule InformationLockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.Work Schedule4x10 hour day, 3 days off per weekSecurity Clearance InformationThis position requires a government security clearance, you must be a US Citizen for consideration.Security ClearanceSecretLMCareers Business UnitRMSProgramARCI and IRADDepartmentXECTQA:USW Sonar & System ProductsJob ClassSoftware EngineeringJob CategoryExperienced ProfessionalCity, StateManassas-VACityManassasZip20110VirtualnoRelocation/Housing Stipend AvailableYesReq TypeFull-TimeDirect/IndirectDirect At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.EEOLockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.National Pay StatementPay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $89,300 - $157,550. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.This position is incentive plan eligible.Premium Pay StatementPay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $102,800 - $178,135. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.This position is incentive plan eligible.",Mid-Senior level,Software Engineer
+987,2025-03-28,Bentonville,Arkansas,Walmart Global Tech,http://tech.walmart.com,"Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.1 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.","International Recommendations platform is a multi-tenant framework that powers the personalization experiences for Mexico, Canada, and other Walmart International sites. The team drives innovation in Machine Learning to provide personalized results for our customers and drive business KPIs.As a Staff Software Engineer, you’ll spend your days translating requirements into solutions, writing code, collaborating with teams, and providing us with the insights necessary to think beyond the status quo. You’ll oversee small project teams consisting of other engineers who will look to you as a trusted advisor, a subject matter expert who provides guidance and the right tools.“Immigration sponsorship is not available in this role.”About Team: Focusing on customer, associate and business needs, this team works with Walmart International, which includes more than 5,200 retail units, operating in 23 countries such as Canada, Central America, Chile, China, India, Mexico and South Africa to name a few.What you'll do:Design scalable, low-latency services to host models; productionize prototypes on the cloud, including data pipelines, training & inference pipelines, and pre & post-processing routines.Build, tune, and optimize machine learning models; collaborate with data scientists to refine data models, design improvements, conduct experiments, and iteratively improve results.Develop and optimize data pipelines to collect, consolidate, and normalize data to feed to machine learning models for offline evaluation and real-time execution.Create monitoring dashboards; perform latency tuning of deep learning models, scaling solutions to enterprise level; investigate and resolve performance issues.Run experiments to compare models, features, and hyperparameters; utilize A/B testing and continuous monitoring to validate and adjust models.Utilize the broad and deep knowledge of ML and Software Engineering to contribute to the roadmap of Walmart’s core machine learning capabilities.Work closely with our product, design, and UX teams to create amazing and intuitive experiences that make it effortless to connect different apps together.Help put tools, processes, and documentation in place to improve our code quality.Demonstrate technical expertise in solving challenging programming and design problems.Troubleshoots business and production issues by gathering information (for example, issue, impact, criticality); performing root cause analysis to reduce future issues; engaging support teams when needed; developing solutions; driving the development of an action plan; performing actions as designated in the plan; and completing online documentation.Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.Possess excellent communication skills to be able to communicate with peers and stakeholders.Enjoy spending your day writing & reviewing code and also lead design discussions.What you'll bring:Bachelor's Degree in Computer Science or related field and 10 years of experience in software engineering or Master's Degree in Computer Science or related field and 5 years of experience in software engineering4+ years of proven work experience in designing and Architecting cloud native, distributed, high performant and scalable microservices.4 years of experience with database languages (SQL, PL/SQL, PG-PL/SQL), version control (Git), data structures and algorithms4 years of experience in writing production quality software with Python; knowledge of Unit testing in Python, Mocking, Pytest.4 years of experience in architecting ML solutions given an abstract business problem3 years of experience with MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions on the cloud3 years of experience building training and inference pipelinesHands on experience with building data pipeline with Spark, Hadoop, Redshift and/or HiveExperience with Kubernetes, Helm, microservice architecture and design, and best practices around multithreading, networking, offline storage, and performance tuningA disciplined approach to development, code review, testing, documentation, and code structure in a team environment.Design/Architecting Applications in No-SQL database such Cassandra, and Azure Cosmos DB.Utilize Industry Research and Innovation to build Next Generation systems to Improve Walmart Technology Environment.Experience with GCP and Airflow is a plus.Prefer experience with building Machine Learning models and pipelines related to personalization.About Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, hybrid work:We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing belonging- unique styles, experiences, ideas and opinions.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.",Mid-Senior level,Staff Software Engineer- ML Ops
+988,2025-04-01,San Francisco,California,Tecton,https://tecton.ai,"Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready AI data platform to help companies activate their data for AI applications. 
+
+AI creates new opportunities to generate more value than ever before from data. Companies can now build AI-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. 
+
+But AI models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage AI data. Most companies don’t have access to the advanced AI data infrastructure that is used by the Internet giants. So AI teams spend the majority of their time building bespoke data pipelines, and most models never make it to production.
+
+We believe that companies need a new kind of data platform built for the unique requirements of AI. Tecton enables AI teams to easily and reliably compute, manage, and retrieve data for both generative AI and predictive ML applications. Our platform delivers features, embeddings, and prompts as rich, unified context, abstracting away the complex engineering involved in data preparation for AI. With Tecton, companies can:
+
+1. Productionize context faster, getting new models to production 80% faster
+2. Build more accurate models through rapid data experimentation and 100% accurate context serving
+3. Drive down production costs by turning expensive workloads into highly efficient data services
+
+We believe that by getting the data layer for AI right, companies can get better models to production faster, driving real business outcomes. Tecton enables organizations to harness the full potential of their data, creating AI applications that are contextually aware and truly intelligent.","Tecton helps companies unlock the full potential of their data for AI applications. The platform streamlines the complex process of preparing and delivering data to models. With Tecton, AI teams accelerate the development of smarter, more impactful AI applications.Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.We are building Rift ( talk , blog post ) - a new fully managed compute environment that allows data scientists to construct powerful batch and streaming pipelines in Python. Our new environment leverages popular open-source technologies such as Ray, Arrow, and DuckDB. We also have deep integrations with Spark platforms (Databricks, EMR, Dataproc) and data warehouses (e.g. Snowflake, BigQuery, RedShift), along with performant training data pipelines and a workload orchestration platform.As a senior engineer on the Batch Data team, you’ll play a critical role in architecting, designing, and scaling the core compute engines and storage architecture used by every Tecton customer. You'll contribute to the performance of our query optimizer, from parsing & optimization to plan selection. Think of this team as the “beating heart” of Tecton.This role is a unique opportunity that combines customer-obsessed product focus with platform and data engineering innovation and helps companies accelerate their path to real-time AI. You will be working in one or more of the following areas to build the next generation of Tecton infrastructure: Distributed compute and resource management Query optimization and distributed execution Cross-platform integrations with state-of-the-art data platformsThis position is open to candidates based near our hubs in San Francisco, New York City, and Seattle.ResponsibilitiesOwn and lead significant technical domains starting from the problem definition and technical requirements to implementation and maintenanceLead projects of strategic importance to Tecton spanning cross-functional teams including product management and other engineering teamsDrive efforts to improve engineering practices, tooling, and processes along with mentorship for junior engineersDevelop a deep understanding of the fundamental problems our customers face in building ML systemsBe a generalist as needed. We’re a small, but growing engineering team and each engineer needs to be versatileQualificationsExperience working in large Python, Java, Kotlin, or Go codebases and running cloud-native Spark systems (e.g. AWS EMR, Databricks, GCP Dataproc)Experience in performance tuning of Spark, Ray, Maestro, or Airflow jobsKnowledge of data formats such as Parquet, Avro, Arrow, Iceberg, or Delta Lake and object storage (e.g. S3, GCS)Expertise with cloud-scale query performance, query optimization, query planning, heuristic query execution techniques, and cost-driven optimizationsExperience with internals of distributed systems, SQL/NoSQL databases, data lakes, or data warehousesStrong communication skills and ability to write detailed technical specificationsExcitement about coaching and mentorship of junior engineersBSc, MS, or PhD in Computer Science or related fields8+ years of experience in building product software systems$197,000 - $237,000 a yearThe estimated US base salary range for this position is $197,000 - $237,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.Tecton is a remote-friendly company that employs a hybrid working policy for employees based in the SF, NY, and Seattle areas. We believe that working in-person helps us stay connected, collaborate faster, and promote a strong culture while still providing the flexibility of working from home. We expect SF & NY employees to be in the office at least two designated days per week, and those in the Seattle area at least two designated days per month..Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.",Mid-Senior level,"Software Engineer, Batch Data"
+989,2025-04-09,New York City,,222,https://222.place,"https://222.place/careers
+
+this is not a dating app.
+this is not a friend-making service.
+this is not networking.
+this is not mindless scrolling.
+this is not random.
+this is not the metaverse.
+this is not a distraction.
+
+no profiles, no DMs, no scrolling, no swiping.
+
+just say ""yes"" & explore the chance encounters you'd have never experienced.
+
+choose chance.","About 222:We’re an early-stage startup working on building the future of social. We are not excited about a future where humans spend the majority of their day in a virtual world. By facilitating genuine human connections IRL, we're building a product that swings the pendulum in the other direction. We’re building the world’s first IRL social prediction model - trained on hundreds of thousands of points of unique human to human interaction data.We’re backed by a word-class set of investors including General Catalyst, Y Combinator (W23), Upfront Ventures, NEA, Jaegermeister, 1517 Fund, Cory Levy (Z Fellows), the Founder of Dropbox (Arash Ferdowsi), the Founder of On Deck (Julian Weisser) & more.What You'll Be Doing At 222:You will be joining 222 as the first ML-focused engineering hire - spearheading all things machine learning, data processing & pipelining, feature engineering, & data analysis.You Should Only Apply If:You’re passionate about solving the problem 222 is tackling and excited to use classic machine learning & LLMs to predict humans' social behaviorYou have experience fine-tuning an LLMYou have experience working with and building ETL pipelines and preparing data for experimentationYou're comfortable building ML/data infrastructure and pipelines for experimentation, training, and deploymentYou have trained applied ML models that are used in productionYou have a strong stance on the ethics surrounding user psychology in social productsRegardless of personal experience, you’re excited about wearing different hats across machine learning, full-stack engineering, & architectureDemonstrated history of building outside of work/school (projects/products, applications, music, art, etc.)You have experience in:Backend Development: Python (Flask/FastAPI), PostgreSQLFrontend Web Development: React/Next.js, HTML, CSS, JavaScript, Node.jsDesigning backend algorithmsYou Should NOT Apply If:You don't have experience building web apps with React/Next.JsYou don't have experience with backend development using PythonYou don't have experience with backend algorithm design.We are looking for:🖌️ full-stack engineer with extensive web and backend algorithms design experience🧠 first principles thinking🏗️ history of building things from scratch🙇‍♂️ strongly opinionated about our current social fabric and its futureWhat we are offering:🏦 401K matching💸 competitive salary + equity🎲 fully comped 222 experiences🧑‍⚕️ platinum PPO, 100% covered by the company, $0 annual deductible📈 a chance to join an early-stage startup backed by an incredible set of investors🖥️ the opportunity to work IRL with a tight-knit team of co-workers and friend",Not Applicable,Machine Learning Engineer
+990,2025-03-19,Toronto,Ontario,BioRender,http://www.biorender.com,"BioRender is revolutionizing how science is communicated, one graphic at a time (you can think of us as the Adobe or Canva for science!). We're on a mission to accelerate science by empowering all scientists to quickly and easily communicate their research.
+
+We are a team of passionate scientists, engineers, science illustrators, designers and entrepreneurs backed by an incredible group of investors, including YCombinator. 
+
+We nerd out on cool science stuff and solving big problems. We work really hard and sweat the details to deliver a high impact product that our users love.","At BioRender, we are accelerating the world’s ability to discover, learn, and communicate science faster through visuals. Today, BioRender empowers millions of scientists to create beautiful, accurate biological figures for communication within pharma companies and academic research.Our vision is to make BioRender the place where humans read biology—translating human and AI-generated data into scientifically accurate, human-understandable visuals. As AI automates large parts of research, BioRender will transform complex data, experimental results, and text inputs into clear, intuitive visuals that scientists, decision-makers, and broader audiences can quickly interpret. Visual communication will be critical to accelerating breakthroughs across academia and industry, and BioRender will bridge the gap between specialized knowledge domains.Our Machine Learning Team is at the forefront of this vision, automating figure generation from diverse user inputs like experimental protocols and research publications, and producing scientifically accurate, editable visuals using our library of icons and templates. We’re looking for a Machine Learning Engineer who is excited to tackle hard, unsolved problems that go beyond off-the-shelf capabilities.What You'll Be DoingCombine computer vision and code generation: Develop structured, editable visuals (e.g., SVG/JSON) that accurately represent scientific concepts.Create story-driven scientific visuals: Design models that capture the appropriate level of detail, layout, and structure to effectively communicate complex biological concepts.Leverage scientific understanding: Build technology that understands the nuances of biological research to produce scientifically accurate visuals.Enable chat-driven figure editing: Implement intuitive, natural language-based editing of visuals while preserving their scientific integrity.Our Ideal Fit BringsDeep technical expertise in machine learningA passion for solving novel challengesAn enthusiasm for helping scientists communicate groundbreaking research faster and more effectivelyNice To HavesScientific and research backgroundWhy join us?We are mission-driven: we work collaboratively towards our shared vision of improving scientific communication and accelerating scientific discovery. BioRender figures have appeared in more than 54,000 publications! BioRender is loved by millions! We have a world-class NPS and a community of loyal fans and users in 200+ countries!Our company is backed by top investors and accelerators like Y Combinator, and we are on a growth trajectory comparable to many top-performing SaaS companies We’re remote-first with team members across Canada and the U.S., offering you the flexibility to work from anywhere. BioRender is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.",Entry level,Machine Learning Engineer
+991,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOur team is responsible for developing next-generation chatbot and machine translation solutions to improve the TikTok Shopping experience across the world. We are currently looking for talented engineers that have a deep understanding of natural language processing and machine learning, especially ones with solid skills and experience of large language models, machine translation, and conversational AI.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities You will be responsible for developing and optimizing the intelligent customer service of TikTok shopping. This role will work closely with our product and operation teams to understand the intentions of our users, design solutions of experience excellence, and convey these solutions to our users conversationally, with the support of cutting-edge LLMs technology. You will have the chance to develop NLP models (like text classification, machine reading, summarization) and prediction models (like question prediction and chatbot action prediction) to achieve the above goals. You will be responsible for developing and optimizing the machine translation service of TikTok shopping to better support cross-region product listing, buyer-seller communication, and commenting. You will have the chance to develop machine translation models for the conversational environment and text generation models from multi-modality inputs. You will be responsible for developing and optimizing the multi-modal AIGC model for product copywriting, including product title, selling points, description and live broadcast script creation etc. You will have the chance to apply cutting edge AIGC models to save human effort and improve business performance.About The JobResponsible for the NLP-related research and development, mainly including: Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model. Building the prediction model by mapping the shopping journey of our users to chatbot actions, including suggesting common question-answers and transferring the user to human agent, with cutting-edge prediction models (like Boosting, deep CTR). Building the generation model by understanding business requests, exploring proper instructions, developing high-quality data, and finetuning a language model of billions of parameters (e.g., 13B, 60B). Working closely with our product and operation teams to quantitatively understand the impact of our chatbot and continuously bridge the business improvement action to model optimization action.QualificationsMinimum QualificatioCurrently pursuing PhD degree with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines. Large language models, natural language generation, machine translation, question answering, machine reading, information extraction, text mining and classification etc. Work experience in e-commerce or the Internet industry is preferred. Practical experience in NLP (dialogue system, machine translation, nlp-related projects in IR/Ads system, etc.) are preferred. Familiar with at least one computer programming language, including but not limited to go/python/Java. Experience of big data development, including but not limited to hive, spark Candidates who have published high-quality papers are preferred, including but not limited to ACL, EMNLP, COLING, AAAI, IEEE TASLP, etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118750 - $156750 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI) - 2025 Start (PhD)
+992,2025-04-03,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As Computer Vision Software Engineer on the Reality Labs team at Meta, you can help build new, innovative software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer.Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on computer vision related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.Software Engineer, Computer Vision - Reality Labs Responsibilities:Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta's products and experiencesConsistently and sustainably advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframesEffectively define projects for other engineers to possibly solve and achieve impact based on your directionDevelop novel, accurate AI algorithms and advanced systems for large scale applicationsUnderstand why some signals and model configurations work while others don't and drive more gain from these findingsDefine use cases and develop methodology and benchmarks to evaluate different approachesMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or PythonExperience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligencePreferred Qualifications:Experience with distributed systems or on-device algorithm developmentExperience in deep learning and PyTorchExperience contributing to AI PublicationsAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Computer Vision - Reality Labs"
+993,2025-04-01,Houston,Texas,The Lab Consulting,http://www.thelabconsulting.com,"The Lab is a management consulting firm that helps executive project sponsors realize sustainable and transformative process and financial benefits for their businesses by implementing standardization-based improvement and automation. 
+
+The Lab’s patented methods help simplify, standardize, and automate everything:
+Products and Services....Increase consistency at the regional, national, and global level.
+Business Processes.......Create employee-friendly operations that retain talent.
+KPIs & Data.....................Identify the ""Super KPIs"" that grow your business.
+Digital Automation.........Find and implement the most valuable automation use-cases quickly.
+
+For almost 3 decades, The Lab has successfully implemented initiatives with medium, large, and Fortune 1000 clients that deliver consistent, sustainable benefits.
+
+Contact us: 
+info@thelabconsulting.com ","We are a mid-sized Management Consulting, Automation, and Data/Process Science firm, established in 1993, serving Fortune 1000 companies throughout North America. We have developed a unique, template-based and data-centric approach to our client projects, which are conducted off-site from our Houston office. The Lab is proud to announce we have invested in a new office build out in the Galleria area. We are mindful of employee experience and currently operate at 50% capacity in the office.We are seeking a data scientist who is passionate about business processes, automation, operational data measurement, and the intellectual challenge analyzing them offers. The person we seek has previous experience in successful data science roles, performing strategic analysis and, or, operations improvement projects. The data scientist will be part of a management consulting and data science team that performs analysis on client data and assists with the development, implementation and integration of pioneering solutions using different methods, techniques and tools. You will ensure the rigor and underlying logic of the team's findings, optimize the analytical storyline and develop superior, easy to comprehend documentation operational analysis.The data scientist will be responsible for gathering, analyzing and documenting business processes, developing business cases, developing analytics dashboards and providing domain knowledge to the team. The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.Simultaneously, you will help senior management further standardize the consulting tasks and related work product with the objectives of: reducing analytical cycle time, lowering labor costs and reducing document rework and editing. As you become more familiar with our product offering, you will also contribute to the refinement and extension of our findings and tools database/website which includes benchmarks, best practices and thousands of business process maps.ResponsibilitiesInterface with clients to gather operational data for analysisAnalyze raw data from consulting client projects across multiple industries: assessing quality, cleansing, structuring for downstream processingDesign accurate and scalable prediction algorithmsCollaborate with team to bring analytical prototypes to productionGenerate actionable insights for business improvementsWork alongside clients and internal team members to develop interactive, customer-facing business dashboardsWork with internal team members to develop methods to transform data to prepare for analysis and reportingManage the structure and functionality of our internal databasesMaintain and build tools to assist our research teams in updating, organizing and expanding existing database contentNavigate client roadblocks that slow down projectsProactively report to internal team and clients on overall progress, potential issues, areas of potential improvement, etc.QualificationsBachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)At least 1 - 2 years' of experience in quantitative analytics or data modelingDeep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithmsFluency in a programming language (Python, C,C++, Java, SQL)Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)",Mid-Senior level,Data Scientist
+994,2025-04-02,New York,NY,FanDuel,https://www.fanduel.careers/,"FanDuel Group is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the North America, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media, including FanDuel, Stardust Casino and TVG. 
+
+The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
+
+Learn more about what we do at:
+
+https://www.fanduel.com/about
+https://twitter.com/FanDuel
+https://twitter.com/FDsportsbook
+https://twitter.com/FanDuelCasino
+https://www.facebook.com/fanduel/
+https://www.instagram.com/fanduel/
+https://instagram.com/FDsportsbook/
+https://www.youtube.com/FanDuel","About FanduelFanDuel Group is the premier mobile gaming company in the United States. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states and Puerto Rico.The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).THE POSITIONOur roster has an opening with your name on itWe’re looking for passionate technologists, strong communicators, and those with a commitment to continuous improvement. The ideal candidate will have the confidence to propose pragmatic solutions to complex problems and be eager to learn from and educate others. As a Software Engineer (Front End) you will work in empowered, multidisciplinary teams, autonomously tackling complex challenges that provide the very best experiences and products for a growing community of millions of players.You use technology to solve straightforward problems, seeking input and guidance from team members. You may create or have responsibility to improve or invent small tools or applications. You can take defined design and turn it into code and deliver it on schedule, applying appropriate technologies and current software engineering best practices. You write secure, stable, testable, maintainable code with minimal defects. You are proficient in a broad range of data structures and algorithms, knowing when it is appropriate to use them and when it is not. You make appropriate implementation trade-off decisions. You participate in team design, scoping and prioritization discussions. You seek to learn the business context and technologies behind your team's software. You work effectively with other team members & identify any opportunities/problems arising from technical decisions. You invent, refine and develop your solutions to ensure they are meeting customer needs and team goals. You are a passionate advocate for your customer.Our Responsible Gaming team's mission is to create a best-in-class regulatory experience for our customers. We do this by working with internal stakeholders and our Regulatory Partners to build scalable, flexible solutions to satisfy regulatory requirements in jurisdictions across the US and Canada. We strive to build internal tools that have clear contracts and are easy to integrate with to enable teams across FanDuel’s portfolio.THE GAME PLANEveryone on our team has a part to playYou own parts of product and technology & strive to become a subject matter expert. You write simple and extendable code following standards and best practices. You test your code thoroughly.I write code that captures the essential nature of the solution and is appropriately flexible, reusable, efficient, and adaptable to changing requirements.I ensure high code quality in code reviews. I adopt approaches (e.g. set up best practices and coding standards, help resolve differences of opinions) to foster an effective/collaborative code review culture.I am able to independently design software components in well scoped scenarios, with simplicity and maintenance as key considerations. My components are testable, debuggable and have logical APIs that are not easily misused.I know when to make significant refactors and when it’s better to leave things as-is.You help your team evolve by actively participating in the code review process, design discussions, team planning, and support ticket reviews. You clearly document your software to ensure that future generations of developers understand the intention behind the features and components you build.In the event of a problem, you can troubleshoot and thoroughly resolve defects.You provide excellent customer support.Most importantly, you are humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce THE STATSWhat we're looking for in our next teammateBA/BS degree in Computer Science or related software engineering field, or equivalent practical experience. 2+ years of relevant work experience.Experience and passion in building web apps using React (JavaScript or TypeScript) or hybrid apps using React native, or similar (Angular/Vue)Good grasp on relational, non-relational databases, messaging queues and handling concurrencyUnderstanding of modern architectures, design patterns, and platform nuancesKnowledge of release process best practices for APIs and services within production systemsExperience working with cloud-based infrastructure and technologies, preferably AWS.Experience with testing concepts, test tools, and integrating testing and best practices in the SDLCStrong sense of ownership, urgency, and drive.Familiarity working in an Agile environmentPassion for working within a fast-paced environment and can adapt to changePlayer BenefitsWe treat our team rightWe offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.The applicable salary range for this position is $116,000 - $145,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.",Director,Software Engineer - React
+995,2025-04-01,Mountain View,CA,"X, The Moonshot Factory",https://x.company,"We create breakthrough technologies to help solve some of the world’s biggest problems. Born at Google, we got our start creating self-driving cars and smart glasses. Since then, we’ve continued to bring sci-fi ideas into reality. ","About The TeamTapestry, is X’s moonshot for the electric grid. We are a team of software engineers, power systems experts and clean energy geeks who are impatient to tackle climate change head on through our energy system. Tapestry is on a mission to make the world’s electric grid visible so everyone, everywhere can access clean, affordable and reliable energy. We are working with partners around the world to create AI powered tools that will help everyone who works with the grid build and manage a carbon-free and secure electricity system.Currently incubating at X, Alphabet’s innovation lab, we are now building the team that will scale Tapestry for more global impact. We are looking for people who are passionate about revolutionizing the energy sector to join us at this critical growth stage. You’ll have the chance to be part of a rapidly growing team that has the agility and impact of an early stage company, while building on world-class technology created at Alphabet. Learn more about Tapestry here.About The RoleAs an applied ML and data pipelines software engineer, you will own end-to-end development of breakthrough technologies that rely heavily on machine learning. You will work with amazing and talented people, who work on highly creative and ambitious efforts. You will work closely with other software engineers, machine learning experts, domain experts, and product managers to plan, coordinate, and integrate your work.How You Will Make 10X ImpactExplore, apply, and innovate state-of-the-art machine learning techniques to solve real-world problems on the electric gridExplore and de-risk novel technologies to extract data from unlikely sourcesLead the design and implementation of ML data platforms and service frameworksDesign and implement robust, automated, production-level software using horizontally scalable componentsWork effectively with cross-functional teams of engineers, product managers, and domain expertsProvide direction and focus in areas of high ambiguityWhat You Should HaveBachelors/Masters in Computer Science, or equivalent practical experienceExperience applying machine learning for computer vision/image processing or time-series forecasting; will also consider DL experience with geospatial data, graph data5-8 years of experience with developing ML models, or a PhD degree in a relevant field with 2+ years of industry experience 3 years of experience with Python, Golang, or other equivalent languagesExcellent written and verbal communication skillsA passion for decarbonizing the electric gridIt’d Be Great If You Had These2 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architectureExperience with building data pipelines (e.g. Beam, Dataflow, Flink, Hadoop, Spark)Prior experience in ML modeling using TensorFlow, Pytorch or Jax/FlaxConsistent track record of delivering high quality solutions to large, complex software problemsPrior experience with setting the technical direction for small groups of engineersExperience working in a start-up like environmentsThe US base salary range for this full-time position is $160,000 - $220,000 + bonuses + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits.",Mid-Senior level,"Machine Learning Engineer, Tapestry"
+996,2025-02-03,Watertown,Massachusetts,Tutor Intelligence,https://tutorintelligence.com/,"Tutor Intelligence is a full-service robotics and automation provider built to serve contract packagers. We partner with the world's largest 3PLs to automate what has stumped the industry for decades: short-run packaging and post-packaging where SKUs, patterns, orders, and volumes are constantly changing.","The Company:Tutor Intelligence is a startup building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes, and we’re combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. We’re seeking the thinkers, builders, and researchers who can help us responsibly deliver the future of automation.The Role:In this role you will close the loop between human instruction and robot automation. Models you create will be deployed to robots out in the field, in a tight feedback loop controlled by you. You will create and improve deep learning models such as CNNs, build a cloud-based data and model training platform, and find ways to help our robots optimize for speed and accuracy.For this role, we seek a pragmatic and competent engineer with domain expertise in computer vision and robotics, and a drive to proliferate robotic technologies.At Tutor, engineering is inherently cross-disciplinary and collaborative. We seek someone with a diverse background across the robotics stack, including anything from full stack web-dev to mechanical engineering.Our Culture:We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We work collaboratively on just about everything we do - nobody has the full story, but we are all trying to, and need to work together to maximize our robots performance.Responsibilities:Train, fine tune, and deploy visual and language foundation models across our stackManage data in databases and optimize the flow of information from our robots to maximize machine learning potentialSkills NeededKnowledge of machine learning models, particularly visual models with an emphasis on recent advanced models such as SAM, DINO, etcStrong software skillsFull stack knowledge, ability to not only work on machine learning models in python but also to spin up inference infrastructure, web ui, and perform database operationsGeneral robotics knowledge & experience",Not Applicable,Robotics Machine Learning Engineer
diff --git a/.ipynb_checkpoints/week4_scikit_learn-checkpoint.ipynb b/.ipynb_checkpoints/week4_scikit_learn-checkpoint.ipynb
new file mode 100644
index 0000000..1c08881
--- /dev/null
+++ b/.ipynb_checkpoints/week4_scikit_learn-checkpoint.ipynb
@@ -0,0 +1,380 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d44b76a1-962a-4a09-91d5-74f1fbefb88f",
+   "metadata": {},
+   "source": [
+    "Цель задачи:\n",
+    "Сравнить эффективность различных алгоритмов классификации из библиотеки scikit-learn на двух типах данных:\n",
+    "\n",
+    "Синтетический датасет: fetch_rcv1() — набор новостных текстов с множественными категориями.\n",
+    "\n",
+    "Реальный датасет: Fashion-MNIST с сайта OpenML — изображения одежды в виде числовых признаков.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "dec9f4c6-3bc5-4dd1-b11e-85fe059751ce",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         9\n",
+      "           1       1.00      1.00      1.00        10\n",
+      "           2       1.00      1.00      1.00        11\n",
+      "\n",
+      "    accuracy                           1.00        30\n",
+      "   macro avg       1.00      1.00      1.00        30\n",
+      "weighted avg       1.00      1.00      1.00        30\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.datasets import load_iris\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.neural_network import MLPClassifier\n",
+    "from sklearn.metrics import classification_report\n",
+    "\n",
+    "# Загрузка и разбиение данных\n",
+    "X, y = load_iris(return_X_y=True)\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
+    "\n",
+    "# Модель MLP — многослойный перцептрон\n",
+    "clf = MLPClassifier(hidden_layer_sizes=(10,), activation='relu', max_iter=2500)\n",
+    "clf.fit(X_train, y_train)\n",
+    "\n",
+    "# Отчёт о точности\n",
+    "print(classification_report(y_test, clf.predict(X_test)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b8718927-08f3-4d35-b163-d31bc7a8ce7d",
+   "metadata": {},
+   "source": [
+    "Импорт необходимых библиотек"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "619b3507-5dc9-4581-b5b7-a2dc21e2656a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.datasets import fetch_rcv1\n",
+    "from sklearn.decomposition import TruncatedSVD\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.pipeline import make_pipeline\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.svm import SVC\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "from sklearn.metrics import accuracy_score, classification_report\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d112584d-4642-4eea-9d47-c1310a7be009",
+   "metadata": {},
+   "source": [
+    "2. СИНТЕТИЧЕСКИЙ ДАТАСЕТ — fetch_rcv1()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aecc83be-209a-4f5c-aaf1-32ea571f0820",
+   "metadata": {},
+   "source": [
+    "2.1 Загрузка данных"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "39d5b664-ee7d-444d-b964-fd3b90d8a396",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rcv1 = fetch_rcv1()\n",
+    "X, y = rcv1.data, rcv1.target[:, 33].toarray().ravel()  # пример: метка с индексом 33\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ea44ff0d-c2ef-47af-b589-55beb44d5787",
+   "metadata": {},
+   "source": [
+    "2.2 Препроцессинг"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "fc2711a3-dbb6-48ab-8e4a-06b280675f23",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'TruncatedSVD' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mNameError\u001b[39m                                 Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[4]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m      1\u001b[39m \u001b[38;5;66;03m# Уменьшим размерность для ускорения вычислений\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m svd = \u001b[43mTruncatedSVD\u001b[49m(n_components=\u001b[32m100\u001b[39m, random_state=\u001b[32m42\u001b[39m)\n\u001b[32m      3\u001b[39m X_reduced = svd.fit_transform(X)\n\u001b[32m      5\u001b[39m \u001b[38;5;66;03m# Деление на обучающую и тестовую выборки\u001b[39;00m\n",
+      "\u001b[31mNameError\u001b[39m: name 'TruncatedSVD' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# Уменьшим размерность для ускорения вычислений\n",
+    "svd = TruncatedSVD(n_components=100, random_state=42)\n",
+    "X_reduced = svd.fit_transform(X)\n",
+    "\n",
+    "# Деление на обучающую и тестовую выборки\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X_reduced, y, test_size=0.3, random_state=42)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0d23f0b7-37e1-4644-ae01-7ee8e1674658",
+   "metadata": {},
+   "source": [
+    "3. Обучение и сравнение классификаторов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f1baafd9-b282-4c2f-ad6f-8c2473bd29e7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "classifiers = {\n",
+    "    \"Logistic Regression\": LogisticRegression(max_iter=1000),\n",
+    "    \"Random Forest\": RandomForestClassifier(),\n",
+    "    \"Linear SVM\": LinearSVC(),\n",
+    "    \"KNN\": KNeighborsClassifier(),\n",
+    "    \"Naive Bayes\": MultinomialNB(),\n",
+    "    \"AdaBoost\": AdaBoostClassifier()\n",
+    "}\n",
+    "\n",
+    "results = {}\n",
+    "\n",
+    "for name, clf in classifiers.items():\n",
+    "    start = time.time()\n",
+    "    try:\n",
+    "        clf.fit(X_train, y_train)\n",
+    "        y_pred = clf.predict(X_test)\n",
+    "        acc = accuracy_score(y_test, y_pred)\n",
+    "        duration = time.time() - start\n",
+    "        results[name] = (acc, duration)\n",
+    "    except Exception as e:\n",
+    "        results[name] = (str(e), 0)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b283e3ee-df57-4018-873b-bdea8a75d71a",
+   "metadata": {},
+   "source": [
+    "3.1 Визуализация результатов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6100a228-b6a8-40c9-bded-32dff19c433a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "df = pd.DataFrame(results).T\n",
+    "df.columns = ['Accuracy', 'Time (s)']\n",
+    "df.sort_values('Accuracy', ascending=False, inplace=True)\n",
+    "\n",
+    "df.plot(kind='bar', figsize=(10, 6), legend=True, title=\"Сравнение классификаторов (RCV1)\")\n",
+    "plt.ylabel(\"Accuracy / Time\")\n",
+    "plt.grid()\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3614904f-d3d1-40e5-9ad6-f308117c2a7f",
+   "metadata": {},
+   "source": [
+    "4. Интерпретация результатов\n",
+    "Лучшими алгоритмами стали: Logistic Regression и LinearSVC, показывающие хорошую точность и быструю работу на текстовых данных.\n",
+    "\n",
+    "Naive Bayes работает особенно быстро, но точность ограничена.\n",
+    "\n",
+    "Использование SVD дало возможность обрабатывать разреженную матрицу RCV1."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4c25059-3ee5-49a2-8b1a-3d6c5af8ff98",
+   "metadata": {},
+   "source": [
+    "5. РЕАЛЬНЫЙ ДАТАСЕТ — Fashion MNIST"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1a1abebd-43f3-46e1-8bf2-a996d986f8b7",
+   "metadata": {},
+   "source": [
+    "5.1 Загрузка с OpenML"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "895c0577-7e18-42fb-9dae-c89977b6f7c8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import openml\n",
+    "\n",
+    "dataset = openml.datasets.get_dataset(40996)  # Fashion-MNIST\n",
+    "X, y, _, _ = dataset.get_data(target=dataset.default_target_attribute)\n",
+    "\n",
+    "X = X.astype('float32')\n",
+    "y = y.astype('int')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "17edbf86-7b62-4161-90c9-7e2e0272b99c",
+   "metadata": {},
+   "source": [
+    "5.2 Препроцессинг"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "27e1ef0a-f61b-4bab-b5ac-b86e7c9c86d8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scaler = StandardScaler()\n",
+    "X_scaled = scaler.fit_transform(X)\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X_scaled, y, test_size=0.3, random_state=42)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd791fde-6950-444f-912f-c2633a6d4e9a",
+   "metadata": {},
+   "source": [
+    "5.3 Обучение моделей и сравнение"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "446d1cf4-bf93-4262-8986-9083c449dacf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_real = {}\n",
+    "\n",
+    "for name, clf in classifiers.items():\n",
+    "    start = time.time()\n",
+    "    try:\n",
+    "        clf.fit(X_train, y_train)\n",
+    "        y_pred = clf.predict(X_test)\n",
+    "        acc = accuracy_score(y_test, y_pred)\n",
+    "        duration = time.time() - start\n",
+    "        results_real[name] = (acc, duration)\n",
+    "    except Exception as e:\n",
+    "        results_real[name] = (str(e), 0)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d4c125cd-1118-46a2-b0d1-1f1dc1e7161b",
+   "metadata": {},
+   "source": [
+    "5.4 Визуализация результатов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11aa22f3-c21f-4dee-a090-fadbc2bdec71",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_real = pd.DataFrame(results_real).T\n",
+    "df_real.columns = ['Accuracy', 'Time (s)']\n",
+    "df_real.sort_values('Accuracy', ascending=False, inplace=True)\n",
+    "\n",
+    "df_real.plot(kind='bar', figsize=(10, 6), legend=True, title=\"Сравнение классификаторов (Fashion-MNIST)\")\n",
+    "plt.ylabel(\"Accuracy / Time\")\n",
+    "plt.grid()\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b0544af-af7b-40e7-a4e2-6d1fc31bf7d6",
+   "metadata": {},
+   "source": [
+    "6. Интерпретация результатов"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c8be62a9-149c-4f27-902d-b3dc87e99089",
+   "metadata": {},
+   "source": [
+    "Random Forest и Logistic Regression показали лучшие результаты на изображениях.\n",
+    "\n",
+    "KNN оказался медленным на таком объеме данных, но может быть эффективен после отбора признаков.\n",
+    "\n",
+    "LinearSVC работает быстро, но может потребовать настройки регуляризации для повышения точности."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/1000_ml_jobs_us.csv b/1000_ml_jobs_us.csv
new file mode 100644
index 0000000..d01c19c
--- /dev/null
+++ b/1000_ml_jobs_us.csv
@@ -0,0 +1,4846 @@
+,job_posted_date,company_address_locality,company_address_region,company_name,company_website,company_description,job_description_text,seniority_level,job_title
+0,2024-10-31,Indianapolis,Indiana,Upper Hand,https://upperhand.com,"Upper Hand is the leading provider of full-suite sports management software that enable businesses to achieve more while doing less.
+
+Sports facilities, training academies, and businesses - from small enterprises to large franchises - use Upper Hand’s integrated software and payments platform to operate their business more efficiently, increase customer satisfaction, and leverage real-time data for better decision-making. 
+
+Its product suite includes features to manage client booking and registration, memberships, staff and facility scheduling, retail, video analysis, and more. For more information on how Upper Hand is reinventing the way business is done in sports and fitness, visit upperhand.com.","OverviewUpper Hand is embarking on an exciting journey to harness the power of machine learning, data science, and AI to enhance sports training and management, and we’re looking for an energetic and talented Machine Learning Engineer and Data Scientist to join our AI Data Science Team. As part of our team, you will be instrumental in building and deploying machine learning models while ensuring they align with real business use cases. You will also leverage your expertise in data science to develop data-driven insights and optimize AI-driven initiatives. This role is ideal for someone who thrives in a fast-paced, collaborative environment, loves solving real-world problems through machine learning, and has a passion for communication and presenting solutions.What You’ll DoBuild, deploy, and maintain scalable machine learning models that solve key business challenges.Work closely with external clients and internal cross-functional teams to translate business needs into machine learning solutions.Collaborate on model deployment and monitoring, ensuring performance and accuracy over time.Develop data pipelines and workflows to ensure data accessibility and readiness for model training.Use data science techniques to extract insights, improve predictions, and drive business decision-making.Create impactful presentations to communicate model results and recommendations to both technical and non-technical audiences.Support continuous improvement by researching and integrating the latest machine learning tools, algorithms, and frameworks.Collaborate with product managers, data engineers, and stakeholders to align machine learning solutions with strategic goals.Who You AreYou’re passionate about machine learning, data science, and using technology to solve complex problems.You have experience building, deploying, and monitoring machine learning models in real-world applications.You possess strong analytical skills with a solid foundation in data science and business intelligence.You are proficient in Python, R, PyTorch, or similar frameworks for model building and deployment.You have experience with data wrangling, feature engineering, and large datasets, using tools such as SQL, pandas, or Spark.You are skilled in cloud platforms such as Databricks, AWS, GCP, or Azure for deploying machine learning models.You enjoy presenting your ideas and solutions to diverse audiences and are excellent at communicating complex technical concepts.You thrive in a collaborative environment, working with A-players to push the boundaries of what’s possible.Education in Data Science, Computer Science / Engineering, Statistics, or related fields is preferred.Bonus: Experience or interest in sports technology and leveraging AI for athletic performance.What Else?Competitive base compensation.Performance-based bonus.Equity/options potential.Comprehensive benefits package, including medical, dental, and vision insurance, and 401kCollaborative workspace with unlimited coffee and healthy snacks.A dynamic, innovative team committed to excellence and pushing the envelope in AI-driven sports solutions.Ready to Apply?If you are excited by the opportunity to build cutting-edge machine learning models and apply your data science expertise in a dynamic sports technology environment, we’d love to hear from you. Join Upper Hand and make a real impact on the future of sports training and management.Let’s achieve greatness together – apply today!",Internship,Internship - Machine Learning Engineer & Data Science
+1,2025-03-14,San Francisco,California,Ikigai,https://www.ikigailabs.io,"Built upon years of MIT research, Ikigai is a generative AI platform for tabular and time series data. It helps operational teams make faster, better decisions under uncertainty and works with any data: structured or unstructured, clean or dirty, small or big. 
+
+Unlock the power of AI within a few clicks to:
+ 
+- Prep your data with aiMatch
+- Predict with aiCast
+- Do scenario analysis with aiPlan. ","Company DescriptionThe Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale.With a combination of enterprise expertise and deep research in the field of AI, Ikigai Labs helps scale enterprises with AI by solving data engineering and modeling problems for business users and data scientists alike. Our unique ability to unlock value in tabular and time series data through AI-powered data harmonization, forecasting, dynamic learning and planning, is our Ikigai, our purpose in the world of AI.As an AI/ML Engineer at Ikigai Labs, you will be part of a high-performing team responsible for optimizing and deploying ML solutions to maximize performance and scalability. We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in collaborative problem-solving.Key Responsibilities:ML Optimization and Deployment:Develop and deploy machine learning models for optimal performance and scalabilityProductivity Tools Development:Build tools and services to enhance the ML platform, utilizing technologies like Kubernetes, Helm, and EKSModel Architecture:Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc.) to solve complex problemsResearch Adaptation:Stay abreast of recent ML and deep learning literature and adapt findings to real-world applicationsCollaborative Development:Work with cross-functional teams to integrate AI and ML solutions that drive business valueData Handling:Manage large datasets and build ML pipelines for data processing and trainingETL/ELT Processes:Design and develop scalable data integration processesPredictive Modeling Platform:Develop an on-demand predictive modeling platform using gRPCCloud and Containerization:Utilize Kubernetes for managing Docker containers and various cloud services (AWS, Azure) to solve cloud-native challengesStakeholder Management:Provide occasional support to our customer success teamTechnologies We Use:Languages:Python3, C++, Rust, SQLFrameworks:PyTorch, TensorFlow, DockerDatabases:Postgres, Elasticsearch, DynamoDB, RDSCloud:Kubernetes, Helm, EKS, Terraform, AWSData Engineering:Apache Arrow, Dremio, RayMiscellaneous:Git, Jupyterhub, Apache Superset, Plotly DashQualifications:Bachelor’s degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 2+ years of experienceStrong understanding of data structures, data modeling, algorithms, and software architectureProficient in probability, statistics, and algorithm developmentHands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib)(Bonus) Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm)Proficiency in Python, AWS services, and ETL/ELT pipelinesUnderstanding of key software design principles, design patterns, and testing best practicesExperience with Kubernetes and/or EKS is a plusAbility to learn quickly in a fast-paced, agile environmentExcellent organizational, time management, and communication skillsWillingness to engage in pair programming, share knowledge, and provide and receive constructive feedbackStrong problem-solving skills and the ability to take initiativeEqual Opportunity Employment:Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants. We value diversity and are dedicated to fostering an inclusive environment for all employees, regardless of race, color, sex, gender identity or expression, age, religion, national origin, ancestry, citizenship, disability, military or veteran status, genetic information, sexual orientation, marital status, or any other characteristic protected under applicable law.If you are passionate about machine learning and eager to make an impact, we would love to hear from you. Apply today to join the Ikigai Labs team and help us build the future of AI.Powered by JazzHRxjSD1ofxI4",Mid-Senior level,Machine Learning Engineer
+2,2025-04-09,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The opportunityAs a Senior Machine Learning Engineer with the Adobe Unified Brand Services (UBS) team, you will build and productize novel multi-modal Generative AI-powered solutions through multi-functional partnerships with fellow engineers, product managers, designers, and marketers. By improving upon industry leading experiences, you will address key challenges that arise in marketing content creation at scale, for enterprises' content supply chains.We're building something extraordinary! Our platform service delivers not only highly effective and intricate representations for crafting on-brand content but also provides robust tools to evaluate brand compliance across high-traffic Adobe surfaces, including Adobe GenStudio for Performance Marketers (GS PeM), Adobe Workfront, Adobe Experience Manager (AEM), and more.At Adobe UBS, we believe in the power of human connection. By infusing an enterprise's human element into multi-modal marketing communications across various channels and social media platforms, we enable businesses to forge and nurture lasting relationships and build trust with their customers. We recognize that each brand possesses unique preferences and distinctive qualities that dynamically harmonize with the surrounding marketing context in large volumes of multi-modal content.We are seeking a passionate and driven ML engineer who thrives on challenges and brings deep expertise in generative AI technologies. Make a tremendous impact in our fast-paced, startup-like environment. Come create the future with us!ResponsibilitiesInnovate, lead, design, implement, and deliver innovative algorithmic solutions and exciting new features for addressing business requirements.Conduct analytical experiments using statistical techniques and large vision language model (LLMs, VLMs) research for generative modeling of trends and patterns in data.Craft scalable code for building services involving deep ML algorithms, such as deep learning, in programming languages such as Python, Scala.Directly engage with product managers and collaborators for implementing improvements to and optimizing operational systems for unparalleled scalability, efficiency, and performance.Mentor data scientists and engineers and guide innovative ways.Identify new product engagement opportunities by working closely with collaborators, customers, and team members.What You Need To SucceedMS or PhD in computer science or equivalent experience required. 3+ years of work experience specializing in natural language processing, computer vision, machine learning, statistics, generative AI, or related field. In-depth understanding of probability, statistics and machine learning, NLP or computer vision techniques, and model architectures (e.g., transformers, diffusion models, LLMs, vision language models, etc.)Proficient in data structures, and algorithms, along with software engineering guidelines such as maintaining coding standards, conducting code reviews, testing, and handling build processes. Expert programming skills in Python, as well as familiarity with ML frameworks such as PyTorch. Experience in developing and deploying machine learning solutions such as large language models and building REST APIs to expose their outcomes to UI. Experience with cloud computing platforms such as Azure and AWS and containerization tools, e.g., Docker and Kubernetes. Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,Machine Learning Engineer
+3,2025-03-22,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
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+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Waymo ML Infrastructure team works with Research and Production teams to develop models in Perception and Planning that are core to our autonomous driving software. We ensure our partners by offering the best solutions for the entire model development lifecycle. These solutions are developed in close collaboration with teams at Google. They are geared towards both scaling models and solving problems unique to ML for autonomous driving.We develop a set of libraries and tools that enhance TensorFlow and JAX, and address scalability, reliability, and performance challenges faced by Waymo's ML practitioners: training fast and at scale, increasing ML accelerator efficiency, fine-tuning multimodal LLMs for autonomous driving tasks, discovering hyper-parameters, retraining neural networks, computing reliable and noiseless metrics on validation sets, and validating newly trained DNNs when deployed into the full onboard software stack.In this hybrid role, you will report to the Technical Lead Manager of Machine Learning Training.You WillDevelop the infrastructure components necessary for distributed training, including job scheduling, resource management, data distribution, and model synchronization.Implement automation solutions for provisioning, deployment, monitoring, and scaling of distributed training infrastructure to improve operations and reliability.Monitor system health, diagnose and troubleshoot issues, and perform routine maintenance tasks to ensure the reliability of the distributed training infrastructure.Identify performance bottlenecks and optimization opportunitiesImprove the developer experience and performance of our scalable ML frameworkYou HaveBachelor's degree in Computer Science, Engineering, or related field, or 2+ years equivalent experienceExperience with distributed systems principles and experience building distributed systems for production environments.Solid Python or C++ skillsPrior experience with Machine Learning frameworks (e.g., TensorFlow, PyTorch) and distributed training algorithmsDebug complex distributed systems issuesExperience communicating updates and resolutions to customers and other partnersWe PreferPractical familiarity using ML accelerator profiling tools to uncover performance bottlenecksFamiliarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying and managing distributed systems in cloud environmentsKnowledge of optimization and deep learning algorithmsThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$170,000—$216,000 USD",Entry level,"Machine Learning Engineer, Training"
+4,2025-03-28,Boston,Massachusetts,HMH,http://www.hmhco.com,"We are an adaptive learning company that empowers educators. With a focus on what moves each learner, HMH delivers what teachers need to foster growth and build lasting momentum for all students. We create integrated K-12 learning solutions for core, supplemental, intervention, assessment, and professional learning--delivered on one streamlined platform. Our technology adapts to every learning environment, uncovering smarter insights about students and helping educators act on what motivates them.  ​​
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+- 90% of U.S. K-12 schools use HMH programs.  ​​
+- 50 million students in 150 countries use HMH's research-backed learning programs.  ​​
+- 1.9 average years of student growth can be gained in one year by using HMH intervention solutions.  ​​
+
+Learn how HMH can help improve growth for every student in your district.  ","Job Title: Machine Learning EngineerLocation: RemoteWho We AreNWEA® is a division of Houghton Mifflin Harcourt that supports students and educators through research, assessment solutions, policy and advocacy services, professional learning and school improvement services that fight for equity, drive classroom impact and push for systemic change in our educational communities. For nearly 50 years, NWEA has developed innovative pre-K–12 assessments, including their flagship interim assessment, MAP® Growth™ and their reading fluency and comprehension assessment, MAP® Reading Fluency™. For more information, visit NWEA.org to learn more.What You Will DoThe Machine Learning Engineer (ML engineer) contributes to the design, development, and deployment of real-world machine learning systems that facilitate and accelerate advanced AI solutions at scale. Machine learning engineers manage aspects of the machine learning pipeline, including sourcing and preparing data, building, and training models, and deploying to and monitoring models in production.ResponsibilitiesManage, maintain, scale, and improve machine learning models already running in production environments.Design, test, and deploy models to production, initially as a prototype, and then as an API that can serve predictions for end users.Design, run, and evaluate machine learning tests and experiments.Optimize and tweak machine learning models according to how they behave in production.Use CI/CD processes throughout the model development lifecycle to develop higher quality code and models without disruption to production. Provide technical support to data and product teams, helping relevant parties use and understand machine learning systems and datasets.Education And ExperienceMasters or Ph.D. in computer science, engineering, or quantitative field.2-3 years of hands-on experience in machine learning, data science, and analytics.Proficient with tools for machine learning pipeline management and monitoring (e.g., SageMaker, MLflow, Kubeflow).Proficient with machine learning algorithms, architectures, programming languages (e.g., Python, C++, R), and libraries (e.g., PyTorch, TensorFlow).Proficient with SQL and analytical warehouses (e.g., Snowflake).Familiarity with automation and deployment (e.g., Jenkins, GitHub actions, Concourse, etc.) and infrastructure as code (e.g., Terraform) technologies.Employed distributed processing frameworks such as Spark and Dask and has interacted with cloud platforms and container technologies.Practical knowledge of software engineering concepts and best practices, like testing frameworks, packaging, API design, DevOps, DataOps and MLOps.Excellent problem-solving skills and easily adapt to new technologies, trends, and frameworks.Demonstrated ability to elevate the machine learning discipline and foster a collaborative and high-performing environment.Salary range: 100k – 120k.Application DeadlineThe application window for this position is anticipated to close on March 31, 2025. We encourage you to apply as soon as possible. The posting may be available past this date but is not guaranteed.HMH is fully committed to Equal Employment Opportunity and to attracting, retaining, developing and promoting the most qualified employees without regard to race, gender, color, religion, sexual orientation, family status, marital status, pregnancy, gender identity, ethnic/national origin, ancestry, age, disability, military status, genetic predisposition, citizenship status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran, other covered veteran, or any other characteristic protected by federal, state or local law. We are dedicated to providing a work environment free from discrimination and harassment, and where employees are treated with respect and dignity. We actively participate in E-Verify.",Mid-Senior level,Machine Learning Engineer
+5,2025-04-02,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The Opportunity Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.By using predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.All 2025 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.What You’ll DoDevelop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques. Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systemsCollaborate with product management and engineering groups to develop new products and features. What You Need To SucceedCurrently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2025 – June 2026Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. Familiar with distributed frameworks, HPC communication libraries, advanced parallelism techniques for large scale trainingProficient in one or more programming languages such as Python, Java and CFamiliar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learnStrong analytical and quantitative problem-solving ability. Excellent communication, relationship skills and a team playerAbility to participate in a full-time internship between May-SeptemberAdobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Internship,2025 Intern - Machine Learning Engineer AI/ML
+6,2025-03-25,Deerfield,IL,Walgreens,http://www.walgreens.com,"Walgreens (www.walgreens.com) is included in the U.S. Retail Pharmacy Segment of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global leader in retail pharmacy. As America’s most loved pharmacy, health and beauty company, Walgreens purpose is more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving approximately 9 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with platforms bringing together physical and digital, supported by the latest technology to deliver high-quality products and services in local communities nationwide.","Job SummaryApplies advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. May explain findings to business audience.Job ResponsibilitiesResponsible for applying advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios.Interprets and applies data in complex analyses, and explains findings to business audiences to improve products and processes.May support or lead the development of data-related commercial offerings and/or other intellectual property (IP)Executes statistical and mathematical analyses to support business decision making.Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining.Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.Develops materials to explain project findings.Effectively resolves problems and roadblocks as they occur.Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities.Prepares and presents interpretation of findings to internal clients.About Walgreens Boots AllianceWalgreens Boots Alliance (Nasdaq: WBA) is an integrated healthcare, pharmacy and retail leader serving millions of customers and patients every day, with a 170-year heritage of caring for communities.A trusted, global innovator in retail pharmacy with approximately 12,500 locations across the U.S., Europe and Latin America, WBA plays a critical role in the healthcare ecosystem. Through dispensing medicines, improving access to pharmacy and health services, providing high quality health and beauty products and offering anytime, anywhere convenience across its digital platforms, WBA is shaping the future of healthcare in the thousands of communities it serves and beyond.WBA employs approximately 312,000 people, with a presence in eight countries and consumer brands including: Walgreens, Boots, Duane Reade, No7 Beauty Company and Benavides. The Company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. In fiscal 2024, WBA scored 100% on the Disability Equality Index for disability inclusion.More Company information is available at www.walgreensbootsalliance.com.Bachelor's degree and at least 2 years of experience in quantitative or computational functions; or graduate degree in a quantitative, computational or technical disciplineKnowledge of SQLExperience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences.Knowledge of open source data science and statistics packages such as Python, R, Spark, etc.Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.Experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions.Willing to travel up to 10% of the time for business purposes (within state and out of state).Graduate degree in a quantitative, computational or technical disciplineSalary range: $98,600 - $157,500We will consider employment of qualified applicants with arrest and conviction records. $98600 - $157500 / SalariedBasic QualificationsBachelor's degree and at least 2 years of experience in quantitative or computational functions; or graduate degree in a quantitative, computational or technical disciplineKnowledge of SQLExperience in data science, advanced analytics, or statistics. Ability to interrogate data, perform analyses, interpret data, and present to business audiences.Knowledge of open source data science and statistics packages such as Python, R, Spark, etc.Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.Experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions.Willing to travel up to 10% of the time for business purposes (within state and out of state).Preferred QualificationsGraduate degree in a quantitative, computational or technical disciplineSalary range: $98,600 - $157,500We will consider employment of qualified applicants with arrest and conviction records.",Not Applicable,Data Scientist - Healthcare & Clinical Data (Remote)
+7,2025-03-22,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The Globalization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.We are looking for an experienced Algorithm Full Stack Engineer to join our mission by bridging algorithmic solutions with creative tools. In this unique opportunity, you will apply your full stack engineering skills to bring cutting-edge algorithms to our rapidly evolving Localization products. You will collaborate with a talented cross-functional team of scientists, engineers, product managers, and domain experts to deliver business impact.ResponsibilitiesDesign and develop systems and solutions for developing algorithm tooling prototypes and enabling in-depth algorithm evaluationPropose, promote and facilitate paved paths for integration and productization of algorithms, laying foundations for feedback loops and data flywheels Identify and execute on opportunities to create leverage for scaling algorithm impact, managing algorithm dependencies and expanding algorithm distributions Contribute to algorithm projects end-to-end across different domainsCultivate strong relationships with cross-functional partnersEvangelize best practices on algorithm full stack engineeringAbout YouProven track record of delivering high-impact algorithm-driven software systems and solutionsHigh proficiency in full stack engineering, including frontend, backend, distributed systems, and cloud infrastructureFamiliarity with algorithms and pipelines for processing large-scale media assets. Bonus: familiarity with common ML and DL frameworks such as PyTorchExcellent communication and collaboration skillsPassion for bridging algorithms with tooling and workflowsExceptional communication and collaboration skillsComfortable with ambiguity; able to take ownership, and thrive with minimal oversight and processNetflix culture resonates with youOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $360,000 - $920,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Machine Learning Software Engineer (L5) - Content and Studio
+8,2025-04-02,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The Studio Media Algorithms team is at the forefront of innovation to enhance and support the vision of the creators of movies, TV shows and other multimedia work. This team's work is responsible for increasing member value, and driving efficiency of the content creation process, ultimately creating more joy for viewers all over the world. To learn more about the domain, here are some links related to what we do: Creating Media with Machine Learning and Computer Vision Research at Netflix.We are looking for a software engineer with experience in the machine learning (ML), computer vision (CV), and/or graphics domain to design and develop scalable systems and infrastructure for that effort. These systems will be used by our researchers to develop CV, graphics, audio, and natural language processing (NLP) algorithms to analyze, create, and transform media assets.In This Role, You WillDesign and develop systems and reusable algorithms and frameworks for the full cycle of machine learning in the multimedia domain, such as data processing, feature extraction, distributed model training with GPUs, and deploying the produced models into production.Collaborate cross-functionally with research scientists, product managers, as well as creative and business partners and stakeholders, to help define and prioritize system requirements.Work closely with ML/CV/Graphics researchers and Studio teams to productize algorithms and models, and efficiently run human-in-the-loop inference tasks.Participate in algorithm development and propose scalable designs.Promote and facilitate software engineering best practices in the team.About YouIndustry experience with machine learning engineering in a production settingPassion for turning ideas into products and improving the user experienceExperience with research and comfort with the ambiguity of an emerging fieldSkills in OO programming (Python, Java, or C++) Experience with ML, CV, and/or graphics pipelinesExcellent communication and people engagement skillsExperience with large-scale distributed data processing systems and cloud infrastructureIndustry experience in the content creation domain, such as animation, games, or visual effectsExperience with models and tools for generative models, such as Diffusion models and ComfyUIBonus ExperienceBuilding end-to-end multimedia systems and algorithmsDeep learning frameworks such as PyTorch and TensorflowComputer graphics and VFX tools and game engines such as Unreal Engine, Unity, Maya, or NukeOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000 - $750,000.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Machine Learning Engineer (L4/5) - Studio Media Algorithms
+9,2025-03-12,Pune,Maharashtra,Persistent Systems,http://www.persistent.com,"We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry expertise to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations worldwide, including 12 of the 30 most innovative global companies, 60% of the largest banks in the US and India, and multiple innovators across the healthcare ecosystem.
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+Our disruptor’s mindset and commitment to client success have enabled us to sustain our growth momentum by reporting $360.2M revenue in Q3 FY25, delivering 4.3% Q-o-Q and 19.9% Y-o-Y growth. Our 23,900+ global team members, located in 19 countries, have been instrumental in helping the market leaders transform their industries.
+ 
+Included in the Dow Jones Sustainability World Index for setting high standards in sustainability and corporate responsibility and recognized for our state-of-the-art learning and development initiatives at the 16th TISS LeapVault CLO Awards, we also won four categories at the prestigious 2024 ISG Star of Excellence™ Awards, including the Overall Award based on the voice of the customer. Additionally, we were cited as the fastest-growing IT services brand in the 2024 Brand Finance India 100 Report. Throughout our market-leading growth, we have maintained a strong employee satisfaction score of 8.2/10.
+
+⁠We foster an environment where employees accelerate personal and professional growth, drive positive impact through cutting-edge technology, and enjoy collaborative innovation with diversity and work-life balance at the core. 
+
+Join us in shaping the future with the best in the industry.
+","About PersistentWe are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 14 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem.Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum by reporting $282.9M revenue in Q1FY24, delivering 17.1% Y-o-Y growth. In addition, our total employee count reached 23,130 people this quarter, located in 21 countries across the globe. We’re also pleased to share that Persistent has been named the fastest-growing Indian IT Services brand by Brand Finance. Acknowledging our vertical industry expertise, we were placed as a Leader in Everest Group’s Payments IT Services PEAK Matrix® Assessment 2023. We were also recognized as a Leader in the ISG Provider Lens™ Digital Engineering Services Quadrants U.S. 2023 and the Salesforce Ecosystem Partners 2023 ISG Provider Lens™ Study. Throughout this market-leading growth, we’ve maintained strong employee satisfaction - over 94% of our employees approve of the CEO, and 89% would recommend working at Persistent to a friend.About Position:Role: Machine Learning EngineerLocation : Santa Clara County, California, United StatesWork Type : Full timeRequirements:Good foundation and practical experience in executing multiple ML ProjectsStrong statistical background professionally or academicallyGraded Certifications or a degree in Machine Learning is a mustExpertise with ML concepts like: Classification algorithms, regression, clustering and semi-supervised learningExposure to ML ExplainabilityFamiliarity with Time Series concepts like AR, ARIMA, SARIMA, Exponential Smoothing, etcFamiliarity with Neural networks and time dependent neural networks like GRUs and LSTMs.Proficiency in utilizing any of the public cloud providers for designing, building and deploying enterprise grade ML solutions.15+ years of total experience with minimum 7+ years of relevant experience Good to have: Hands on experience with MLOpsCreating end to end inferencing pipelines for monitoring concept drift and data driftExperience with NLP or Gen AIRecommender SystemsBenefits:Competitive salary and benefits package.Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.Opportunity to work with cutting-edge technologies.Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.Annual health check-ups.Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents.Our company fosters a values-driven and people-centric work environment that enables our employees to:Accelerate growth, both professionally and personallyImpact the world in powerful, positive ways, using the latest technologiesEnjoy collaborative innovation, with diversity and work-life wellbeing at the coreUnlock global opportunities to work and learn with the industry’s bestLet’s unleash your full potential at Persistent - persistent.com/careers“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”",Associate,Machine Learning Engineer
+10,2025-03-30,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The OpportunityAdobe is looking for a Machine Learning Engineer to understand and optimize the experience of Adobe’s Digital Experience customers. By partnering with Adobe Research and other business units, you will build products that transform how companies approach audience creation, journey optimization, and personalization at scale. Join a diverse, collaborative, and lively group of engineers and scientists well-established in the ML space. The work here is dynamic, fast-paced, creative, and data-driven.What You'll DoDevelop innovative models in collaboration with Adobe Research. Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making. Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows. Engage in the product lifecycle, including architecture, design, deployment, and production operations. Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches. What you need to succeedThe ideal candidate will have the following background:MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or PhD degree in Computer Science, Data Science, or a related field. Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods. Experience in building large-scale data pipelines. Ability to quickly learn new skills and work in a fast-paced team. Proficiency in one or more programming languages such as Python, Scala, Java, or SQL. Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch. Experience working with both research and product teams. Excellent problem-solving and analytical skills. Excellent communication and relationship-building skills. Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,Machine Learning Engineer
+11,2025-03-28,Menlo Park,California,Robinhood,http://www.robinhood.com,"Trade. Invest. Earn. 
+
+rbnhd.co/social_media_disclosures","Join a leading fintech company that’s democratizing finance for all.Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.With growth as the top priority...The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.About the team + roleThe mission of the Applied Machine Learning team is to provide scalable data and model driven decision making solutions to the various business functions at Robinhood. We aim to create a personalized experience for our users, by helping them discover & engage with the right products & features within Robinhood that they might find most valuable. To accelerate progress, we are also building an accessible model development platform to democratize machine learning practices throughout the company. As we embark on this exciting journey, we are looking for a Machine Learning Engineer to join us to make this vision a reality.What You'll DoAs a Machine Learning Engineer on our team, your primary focus will be on the implementation and evaluation of machine learning algorithms through rigorous experimentation and testing methodologies. Your responsibilities will include:Model Development and Implementation: Develop and implement scalable machine learning models focusing on advanced ranking and recommendation systems, including expertise in Collaborative Filtering, Content-Based Filtering, and Hybrid models, alongside proficiency in Learning to Rank (LTR) techniques for effective prioritization. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation.A/B Testing and Experimentation: Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance, and analyzing results.Data Analysis and Insight Generation: Analyze experimental data to extract actionable insights. Use statistical techniques to validate the findings and ensure their significance, relevance, and accuracy.Cross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to different stakeholders.Tooling and Documentation: Build reusable libraries for common machine learning practices. Offer support and guidance to the usage of these tools. Maintain comprehensive documentation of libraries, models, experiments, and findings. .What You Bring2+ years of applied ML experience building and productionizing ML models focused on recommendations, ranking, or personalization projects.A fervent interest in exploring and applying modern AI and ML technologies.Strive to solve sophisticated engineering problems that drive business objectives.Solid technical foundation enabling active contribution to the design and execution of projects and ideas.Familiarity with architectural frameworks of large, distributed, and high-scale ML applications.Proven experience in ML with a focus on ranking, recommendation systems, multi-objective optimization, and reinforcement learning.Proficiency in Python, SQL, XGboost, PyTorch/TensorFlow.Experience with Spark, Kafka, and Kubernetes is also desirable.Ideally you have experience in the Finance sector.What We OfferMarket competitive and pay equity-focused compensation structure100% paid health insurance for employees with 90% coverage for dependentsAnnual lifestyle wallet for personal wellness, learning and development, and more!Lifetime maximum benefit for family forming and fertility benefitsDedicated mental health support for employees and eligible dependentsGenerous time away including company holidays, paid time off, sick time, parental leave, and more!Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefitsWe use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.Please see the independent bias audit report covering our use of Covey here.Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$157,000—$185,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$139,000—$163,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$122,000—$144,000 USDClick here to learn more about available Benefits, which vary by region and Robinhood entity.We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.",Entry level,"Machine Learning Engineer, Applied ML"
+12,2025-03-30,San Francisco,California,Notion,https://notion.com,"Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes? With Notion, they're all in one place, and totally customizable to meet the needs of any workflow. It's the all-in-one workspace for you, your team, and your whole company. 
+
+We humans are toolmakers by nature, but most of us can't build or modify the software we use every day — arguably our most powerful tool. Our team at Notion is on a mission to make it possible for everyone to shape the tools that shape their lives.","About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.Notion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their week in the office (including a third day).About The RoleWe are looking for an ML Engineer to join our small but nimble AI team whose mission is to make Notion an ML-powered product. As an ML Engineer, you will work on incorporating large language models (LLMs), embeddings, and other AI technologies into Notion’s product in a high quality way. You’ll be exploring the boundaries of what’s possible with ML technology and finding innovative ways to apply new industry learnings to Notion’s offering.What You'll AchieveWork with the team to prototype and experiment with AI model quality improvements, either by fine tuning, prompt engineering, or building new models when neededProductionize and launch new AI technology integrations into Notion’s core productCollaborate with cross-functional teams to deliver product features on timeStay up-to-date with the latest AI technologies and trendsSkills You'll Need To BringDomain Expert, Teacher and Learner: You have experience building AI products using LLMs, embeddings or other ML natural language technologies. 3+ years of experience in one or more of the following areas: machine learning, recommendation or ranking systems, natural language understanding/generation or artificial intelligence. You’re excited about bringing your pre-existing knowledge to the team, but you balance that with perpetual curiosity and understanding that there is always more to learn.Holistic Problem Solver: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.Communicate with Care: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.Impact Driven: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.Nice To HavesYou understand how parts of a system fit together, from the user interface to the data model. You are familiar with relational database systems like Postgres or MySQL, and have experience building products from ground up.You’re proficient with data pipeline technologies: Spark, DBT, etcYou're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.You have experience driving teams toward shared goals and can balance business priorities with individuals’ strengths, areas of interest, and career development goals.You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.You have interests outside of technology, such as in art, history, or literature.We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $170,000 - $250,000 per year.By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.",Not Applicable,"Software Engineer, Machine Learning"
+13,2025-03-30,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The OpportunityAdobe is looking for a Machine Learning Engineer to understand and optimize the experience of Adobe’s Digital Experience customers. By partnering with Adobe Research and other business units, you will build products that transform how companies approach audience creation, journey optimization, and personalization at scale. Join a diverse, collaborative, and lively group of engineers and scientists well-established in the ML space. The work here is dynamic, fast-paced, creative, and data-driven.What You'll DoDevelop innovative models in collaboration with Adobe Research. Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making. Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows. Engage in the product lifecycle, including architecture, design, deployment, and production operations. Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches. What you need to succeedThe ideal candidate will have the following background:Bachelors in Computer Science, Data Science or Statistics with 2+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or MS in Computer Science, Data Science, or a related field. Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods. Experience in building large-scale data pipelines. Ability to quickly learn new skills and work in a fast-paced team. Proficiency in one or more programming languages such as Python, Scala, Java, or SQL. Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch. Experience working with both research and product teams. Excellent problem-solving and analytical skills. Excellent communication and relationship-building skills. Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $102,400 -- $196,300 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,Machine Learning Engineer
+14,2025-03-30,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The OpportunityAdobe is looking for a Machine Learning Engineer to understand and optimize the experience of Adobe’s Digital Experience customers. By partnering with Adobe Research and other business units, you will build products that transform how companies approach audience creation, journey optimization, and personalization at scale. Join a diverse, collaborative, and lively group of engineers and scientists well-established in the ML space. The work here is dynamic, fast-paced, creative, and data-driven.What You'll DoDevelop innovative models in collaboration with Adobe Research. Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making. Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows. Engage in the product lifecycle, including architecture, design, deployment, and production operations. Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches. What you need to succeedThe ideal candidate will have the following background:MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or PhD degree in Computer Science, Data Science, or a related field. Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods. Experience in building large-scale data pipelines. Ability to quickly learn new skills and work in a fast-paced team. Proficiency in one or more programming languages such as Python, Scala, Java, or SQL. Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch. Experience working with both research and product teams. Excellent problem-solving and analytical skills. Excellent communication and relationship-building skills. Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,Machine Learning Engineer
+15,2025-03-26,San Jose,CA,Cisco,http://www.cisco.com,"Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience.  With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. ","The application window is expected to close on: April 14, 2025.Meet the TeamCisco Webex is the world's #1 business collaboration and customer engagement platform. It is used across all industries in the world being used to support governments, business, education, and more, including use by 85% of Fortune 500 business.The workplace of the future will be powered by AI, and we, Collaboration AI, is the team responsible for building AI/ML intelligent experiences within Cisco’s Webex portfolio. The team is made up of multiple major AI fronts to enrich the collaboration use cases. This, in the order of processing pipeline, includes audio codec technologies, automatic speech recognition (ASR), text-to-speech (TTS), natural language processing (NLP) using and training LLMs and beyond, and gen-AI evaluation methodologies, both metric-based and subjective testing. In addition, videos are empowered via computer vision (CV) and additional contextual information by employee graphs, and much more.We aim to build the next-generation AI solutions in collaboration software, devices, and APIs - from digitizing the in-meeting experience, enhancing distributed team efficiency and improving all aspects of people connection.What You’ll DoAs a Senior Machine Learning Engineer on the Collaboration AI team, you will innovate NLP/LLM solutions for Webex products.You are expected to be a main contributor in our AI technology space and bridge the gap between the fast evolving open-source AI landscape and the Webex user experience. You'll drive technological advancement while bridging cutting-edge AI developments with practical user experiences. Your responsibility will include, but not limited to, the following:Explore and implement next-gen LLM technologies, focusing on retrieval-augmented generation (RAG), AI agents, and agentic workflows. Fast prototype innovative concepts and create viable paths to production. Conduct applied ML research and follow the systematic methodology: Establish benchmarking methods, evaluate against baselines, perform ablation studies, and deliver actionable recommendations. Balance technical trade-offs to determine optimal production solutionsCollaborate with system engineers, product managers, and client teams to drive productizationLevel up the team's AI/ML savviness as an AI knowledge catalyst. Who You’ll Work WithYou’ll join a small, high-caliber team of ML specialists, large scale systems pros, NLP, Speech, and CV practitioners and researchers, product gurus, customer artiste, and world-class designers who are all low ego and humble, and passionate about the future brought by AI. We adapt quickly, continuously improve, and deliver high-impact results. We’re not only aiming to build AI applications; we strive to build the best applications of AI the world has ever seen.Many of our engineers have founded their own startups prior to forming Collaboration AI, and they bring a wide and diverse set of industry experience and expertise with them. We draw on this well of experiences every day as we collaborate on our own product, tech stack, and go to market strategy. We're highly collaborative, committed to building great things, and consider it a privilege to learn from each other every day.Minimum Requirements M.S. or Ph.D. in Computer Science, Mathematics, or a related field.  5 + years of experience with Natural Language Processing  2+ years of experience implementing LLM technologies, systems, and applications  Proficiency with deep learning frameworks (e.g., PyTorch, JAX, Keras, TensorFlow), ML ecosystems (e.g., Hugging Face) and production Python programming skills Preferred RequirementsProven experience deploying NLP/LLM solutions in production environmentsStrong judgment to assess practical value versus industry hypeDemonstrated persistence in problem-solving complex challengesDeep intellectual curiosity in emerging AI technologies Engineering mentality at heartResearch contributions in NLP (publications, patents, presentations) are a plus#WeAreCisco#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.",Not Applicable,"Senior Machine Learning Engineer, NLP"
+16,2025-03-30,San Francisco,California,Notion,https://notion.com,"Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes? With Notion, they're all in one place, and totally customizable to meet the needs of any workflow. It's the all-in-one workspace for you, your team, and your whole company. 
+
+We humans are toolmakers by nature, but most of us can't build or modify the software we use every day — arguably our most powerful tool. Our team at Notion is on a mission to make it possible for everyone to shape the tools that shape their lives.","About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.Notion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their week in the office (including a third day).About The RoleWe are looking for an ML Engineer to join our small but nimble AI team whose mission is to make Notion an ML-powered product. As an ML Engineer, you will work on incorporating large language models (LLMs), embeddings, and other AI technologies into Notion’s product in a high quality way. You’ll be exploring the boundaries of what’s possible with ML technology and finding innovative ways to apply new industry learnings to Notion’s offering.What You'll AchieveWork with the team to prototype and experiment with AI model quality improvements, either by fine tuning, prompt engineering, or building new models when neededProductionize and launch new AI technology integrations into Notion’s core productCollaborate with cross-functional teams to deliver product features on timeStay up-to-date with the latest AI technologies and trendsSkills You'll Need To BringDomain Expert, Teacher and Learner: You have experience building AI products using LLMs, embeddings or other ML natural language technologies. 3+ years of experience in one or more of the following areas: machine learning, recommendation or ranking systems, natural language understanding/generation or artificial intelligence. You’re excited about bringing your pre-existing knowledge to the team, but you balance that with perpetual curiosity and understanding that there is always more to learn.Holistic Problem Solver: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.Communicate with Care: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.Impact Driven: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.Nice To HavesYou understand how parts of a system fit together, from the user interface to the data model. You are familiar with relational database systems like Postgres or MySQL, and have experience building products from ground up.You’re proficient with data pipeline technologies: Spark, DBT, etcYou're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.You have experience driving teams toward shared goals and can balance business priorities with individuals’ strengths, areas of interest, and career development goals.You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.You have interests outside of technology, such as in art, history, or literature.We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $170,000 - $250,000 per year.By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.",Not Applicable,"Software Engineer, Machine Learning"
+17,2025-03-27,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.NOTE: This job posting is inclusive of a variety of positions within our Algorithms Engineering group. Based on your background, expertise and interests, we will route you to the appropriate team(s). All teams may not be hiring at the same time.As Netflix continues to grow, so do the opportunities to enhance our personalization systems and algorithms. We're looking for a passionate and talented Machine Learning Engineer to join our Algorithms team. In this role, you will apply your expertise in machine learning and software engineering to design, develop, and scale solutions that power the Netflix experience.Key ResponsibilitiesCollaborate with cross-functional teams, including researchers, engineers, data scientists, and product managers, to develop and implement machine learning algorithms that improve personalization, recommendations, and member experiences.Create scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment in Netflix's large-scale, real-time systems.Optimize the performance and scalability of machine learning models, ensuring they can handle the diverse tastes and behaviors of our global member base.Design and conduct offline experiments and A/B tests to validate the impact of algorithmic changes on key business metrics.Contribute to the ongoing improvement of our ML infrastructure and tooling, ensuring that we stay at the cutting edge of industry practices.Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering.What We Are Looking For5+ years of experience in applying machine learning in an industrial setting, with a track record of delivering impactful results.PhD or Masters in Computer Science, Statistics, or a related fieldExpertise in machine learning algorithms and frameworks, with hands-on experience in training, tuning, and deploying models in production environments.Excellent software design and development skills in Python along with Scala, Java, C++, or C#Experience in one or more of the following applied fields: Recommendations, Personalization, Long-term Reward Modeling, Bandits, Transformers, Large-Scale Language Models, LLM evaluation, RLHF reward modeling/alignmentGreat interpersonal skills including strong written and verbal communicationPreferred QualificationsExperience building or enhancing personalization systems, search engines, or similar large-scale machine learning applications.Background in neural networks, natural language processing, or causal inferenceContributions to open-source projects in machine learning or related fields.Experience working with cross functional teamsLinksNetflix Research siteOur cultureOur long term business viewOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Machine Learning Engineer
+18,2025-03-22,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.We are seeking an ambitious software engineer to join the Model Development and Management team, that is building the self-serve user interface layer for Netflix’s MLP in order to accelerate the core loop of model creation, evaluation, experimentation, and deployment. In this role, you'll help shape the future of ML infrastructure at Netflix, with opportunities to contribute to open-source projects and you’ll develop expertise across the full ML lifecycle while working with cutting-edge personalization technologies.MLP and Model Development and Management teams are working with various teams at Netflix, and this role will mainly focus on personalization models. You’ll gather requirements, design, and implement products that help accelerate model development for personalization use cases. You’ll have the opportunity to work alongside our applied researchers and data scientists on the cutting edge of machine learning. You will have a strong customer focus and consistently engage with our ML community to source feedback, identify pain points, and opportunities to evolve Metaflow and the Machine Learning Platform in general. You will also partner with the OSS Metaflow development community to ensure a mutually beneficial roadmap and relationship.To be successful in this role, you must have a strong software engineering background, a keen sense of software design, have proven experience with distributed applications, be a good communicator, and work well in large cross-functional teams.What We Are Looking ForExcellent software design and development skills in Python along with one of Scala, Java, C++.Experience working with state-of-the-art recommendation model development and foundation model development.Built platform offerings for ML Researchers, Engineers, and Data Scientists.Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems.3+ years of full time software engineering or machine learning experience with a bachelor’s and masters degree; or PhD degree. Please note that we do not require work experience if you completed your PhD for this level. Preferred, But Not Required Additional Areas Of ExperienceKnowledge of machine learning algorithms.Experience with deep learning frameworks, such as TensorFlow, PyTorch, etc.Extensive experience with big data and distributed computing systems such as Spark, HBase, Hadoop, Iceberg.Significant contributions to open source projects.Experience working with public clouds, especially AWS.More informationTo learn more about the work we do to check if it aligns with your interests, check the following articles:Supporting Diverse ML Systems at NetflixMetaflowWhat do we offer?Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $464,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Netflix is a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.",Not Applicable,"Software Engineer L4, Machine Learning Platform (Metaflow)"
+19,2025-04-01,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.Applied Machine Learning Research at Netflix improves various aspects of our business, including personalization algorithms, content generation, system optimization, and innovative tooling for artists. Our research spans many areas of machine learning, including recommender systems, reinforcement learning, computer vision, natural language processing, optimization, and operations research. Great applied research also requires robust machine learning infrastructure, another large area of emphasis at Netflix.Applicants are encouraged to express their interest in one or multiple types of internships listed if your skills and qualifications are aligned.We Are Looking For Individuals With The Following QualificationsCurrently enrolled PhD student in the Machine Learning or adjacent Engineering space.Some experience with the following machine learning areas:Foundational science: Practical experience in supervised and/or unsupervised machine learning or data science methods.Software engineering: Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).End-to-end systems: Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability.Experience programming in Python.Curious, self-motivated, and excited about solving open-ended challenges at Netflix.Great communication skills, both oral and written.Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).For Your Application To Be Considered CompleteYou will be sent an Airtable form shortly after you submit your application on our careers site; your application will not be considered complete until you fill out and submit this form.Include a Resume or CV with complete contact information (email, phone, mailing address) and a list of relevant coursework and publications (if applicable).In the Airtable form, you will be asked to select a primary (or secondary) ML area for your potential internship. This will be used to map your application to particular teams & projects.You will be asked to include a short (max one page) statement describing your research experiences and interests, and (optionally) their relevance to Netflix Research. For inspiration, have a look at the Netflix research site.Internships at Netflix At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.Internships are paid and are a minimum of 12 weeks, with a choice of a few fixed start dates in May or June 2025 to accommodate varying school calendars. Conditions permitting, our 2025 summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.The overall market range for Netflix Internships is typically $40/hour - $110/hour.This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Machine Learning Engineer Intern, Summer 2025"
+20,2025-04-02,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back.Role SummarySplunk is looking for Bachelor’s or Master's graduates to join our team! As a Machine Learning Engineer, you will work on a real project (or a few) and have an opportunity to enjoy our dynamic environment.You will experience Splunking and what defines our culture while honing the skills which separate our development teams from others. Working to support internal and external customer needs, you will collaborate with multi-functional teams, receive mentorship, and gain insight into our values-driven process. Our goal is both to support your growth and development while empowering you for a successful start to your career.What you'll get to doIntegrate AI/ML solutions into Splunk products and servicesAchieve data science and software engineering goals set by you and your mentorLearn about Splunk, both the product and the companyCollaborate closely with software engineers, data scientists, and product managersMust-have QualificationsActively pursuing a Bachelor’s or Master's in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics or a related technical field, and a strong record of academic achievementNice-to-have QualificationsWe’ve taken special care to separate the must-have qualifications from the nice-to-haves. “Nice-to-have” means just that Nice. To. Have. So, don’t worry if you can’t check off every box. We’re not hiring a list of bullet points–we’re interested in the whole you.Coursework or research experience in artificial intelligence and machine learning topics such as time series analysis (univariate and multivariate), anomaly detection, generative AI technology and Large Language Models (LLM)Experience programming in a large software project – at school, professionally, or in an open source contextCoursework and project or internship experience in big data systems or distributed systemsExposure to ML frameworks (e.g., TensorFlow, PyTorch, Ray, vLLM) and PythonAbility to work well with others in a fast-paced environmentStrong communication skills, verbal and writtenEnthusiasm for solving interesting problemsSplunk is an Equal Opportunity EmployerSplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $119,200.00 - 163,900.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $107,280.00 - 147,510.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $95,360.00 - 131,120.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,Machine Learning Engineer - Early in Career
+21,2025-03-25,London,United Kingdom,National Grid,https://www.nationalgrid.com/,"National Grid lies at the heart of a transforming energy system. Our business areas play a vital role in connecting millions of people to the energy they use, while continually seeking ways to make the energy system clean, fair, and affordable. 
+
+In the UK we own and develop the high-voltage electricity transmission network in England and Wales, taking electricity from where it’s generated to where it’s needed. National Grid Electricity Distribution delivers electricity to over 20 million people across homes and businesses in the Midlands, South West England, and South Wales. 
+
+In the US, we own and operate electricity and natural gas networks, serving over 20 million people across New York State and Massachusetts.  
+
+National Grid Ventures operates across the UK, Europe, and the US, developing, operating, and investing in large-scale clean energy infrastructure. 
+
+National Grid Partners invests in entrepreneurs at the intersection of energy and emerging tech, with capital, resources, connections, and know-how. ","About UsNational Grid is hiring a Senior Data Scientist for Electric Load Forecasting. This position can be based out of Waltham, MA or Hicksville, NY office. Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.  To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.Job PurposeThe Load Forecasting & Analytics team produces electric and gas forecasts for National Grid. As a Senior Data Scientist specializing in Electric Load Forecasting, you will be responsible for developing long-term electric load forecasts at both system and distribution feeder levels. You will ensure the forecasts incorporate existing and new distributed energy resources, demand-side management, electrification load, other technologies as appropriate, and policies. You will collaborate with internal stakeholders including Supply Procurement, Engineering, Regulatory, Strategy, Finance, and others to ensure the forecasts meet the needs of our stakeholders and reflect latest information on studies, programs, plans, and policies. Additionally, you will support regulatory work, e.g. Massachusetts Electric Sector Modernization Plan for items related to electric load forecasting.Key Accountabilities    Develop long-term Electric Load Forecasts at the system and feeder level using econometric models, time series models, regression analysis, and machine learning models, as appropriate.    Perform exploratory analysis of large complex data sets to derive insights and valuable actions    Ensure the forecasts properly account for distributed energy resources and new technologies and policies (e.g. energy efficiency, demand response, electrification of heat, PV, EV, etc.).     Perform additional analysis relating to the forecast as necessary.     Discover business narrative told by the data and be able to present them to peer data scientists, business stakeholders, and managers at various levels.Provide expert testimony before regulators and defend the forecasts. Respond to data request from regulatory bodies for rate cases and other proceedings.      Assist with code review and quality assurance activities.    Document and archive models and scrips (e.g., using Git/Bitbucket) to enable ongoing support.    The position of senior requires the ability to work independently and communicate to both internal and external stakeholders to present and defend results.  The ability to speak to both technical and non-technical persons to present projects is essential.     Update forecast processes and documentation to ensure they are efficient, reviewable, and reliable.     Collaborate with internal stakeholders (including supply, engineering, regulatory, strategy) regarding forecast methodology and analysis and ensure our deliverables meet their needs.      Stay current in all policies, regulatory requirements, market trends, and industry standards regarding customer energy use and technologies and programs impacting that use, such as energy efficiency and demand response.    Work on researching, implementing, and delivering of items that meet regulatory requirements including the Massachusetts Electric Sector Modernization Plan.Qualifications    A Bachelor’s degree (Master’s or PhD preferred; work experience preferred for Bachelor’s and Master’s degree) in economics, statistics, mathematics, applied analytics, operation research, meteorology, engineering, or related quantitatively rigorous field.    Demonstrated experience with regression analysis, econometric models, or other forecasting modeling techniques is preferred.    Expertise in statistical programming software such as Python, SAS, or R is required. Advanced SQL skills preferred. Experiences with Git/Bitbucket, Azure, Databricks is preferred. Advanced Excel skills preferred.     Experience in energy forecasting, energy related industry, or in a regulated setting with direct interaction with regulators preferred.     Experience with policy or forecasting distributed resources (e.g. PV, EV, energy efficiency, demand response, electrification of heat, etc.) preferred.    Good understanding of National Grid’s operations and the regulatory environment preferred.    Strong written and verbal communication skills including the ability to testify before regulators and respond to regulatory data requests.  Ability to explain complex technical concepts to non-technical stakeholders. More Information National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise.  We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve.  National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.  SalaryWaltham $130,000 - $153,000 or Hicksville $139,000 - $164,000 a year.This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Internal candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.",Mid-Senior level,"Senior Data Scientist, Data Science"
+22,2025-04-09,London,United Kingdom,National Grid,https://www.nationalgrid.com/,"National Grid lies at the heart of a transforming energy system. Our business areas play a vital role in connecting millions of people to the energy they use, while continually seeking ways to make the energy system clean, fair, and affordable. 
+
+In the UK we own and develop the high-voltage electricity transmission network in England and Wales, taking electricity from where it’s generated to where it’s needed. National Grid Electricity Distribution delivers electricity to over 20 million people across homes and businesses in the Midlands, South West England, and South Wales. 
+
+In the US, we own and operate electricity and natural gas networks, serving over 20 million people across New York State and Massachusetts.  
+
+National Grid Ventures operates across the UK, Europe, and the US, developing, operating, and investing in large-scale clean energy infrastructure. 
+
+National Grid Partners invests in entrepreneurs at the intersection of energy and emerging tech, with capital, resources, connections, and know-how. ","About UsNational Grid is hiring a Senior Data Scientist for Electric Load Forecasting. This position can be based out of Waltham, MA or Hicksville, NY office. Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.  To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.Job PurposeThe Load Forecasting & Analytics team produces electric and gas forecasts for National Grid. As a Senior Data Scientist specializing in Electric Load Forecasting, you will be responsible for developing long-term electric load forecasts at both system and distribution feeder levels. You will ensure the forecasts incorporate existing and new distributed energy resources, demand-side management, electrification load, other technologies as appropriate, and policies. You will collaborate with internal stakeholders including Supply Procurement, Engineering, Regulatory, Strategy, Finance, and others to ensure the forecasts meet the needs of our stakeholders and reflect latest information on studies, programs, plans, and policies. Additionally, you will support regulatory work, e.g. Electric Grid Modernization Plan, rate case, for items related to electric load forecasting.Key Accountabilities    Develop long-term Electric Load Forecasts at the system and feeder level using econometric models, time series models, regression analysis, and machine learning models, as appropriate.    Perform exploratory analysis of large complex data sets to derive insights and valuable actions    Ensure the forecasts properly account for distributed energy resources and new technologies and policies (e.g. energy efficiency, demand response, electrification of heat, PV, EV, etc.).     Perform additional analysis relating to the forecast as necessary.     Discover business narrative told by the data and be able to present them to peer data scientists, business stakeholders, and managers at various levels.Provide expert testimony before regulators and defend the forecasts. Respond to data request from regulatory bodies for rate cases and other proceedings.      Assist with code review and quality assurance activities.    Document and archive models and scrips (e.g., using Git/Bitbucket) to enable ongoing support.    The position of senior requires the ability to work independently and communicate to both internal and external stakeholders to present and defend results.  The ability to speak to both technical and non-technical persons to present projects is essential.     Update forecast processes and documentation to ensure they are efficient, reviewable, and reliable.     Collaborate with internal stakeholders (including supply, engineering, regulatory, strategy) regarding forecast methodology and analysis and ensure our deliverables meet their needs.      Stay current in all policies, regulatory requirements, market trends, and industry standards regarding customer energy use and technologies and programs impacting that use, such as energy efficiency and demand response.    Work on researching, implementing, and delivering of items that meet regulatory requirements including the Massachusetts Electric Sector Modernization Plans, meeting the the New York climate plan, Distributed System Implementation Plan, etc.Qualifications    A Bachelor’s degree (Master’s or PhD preferred; work experience preferred for Bachelor’s and Master’s degree) in economics, statistics, mathematics, applied analytics, operation research, meteorology, engineering, or related quantitatively rigorous field.    Demonstrated experience with regression analysis, econometric models, or other forecasting modeling techniques is preferred.    Expertise in statistical programming software such as Python, SAS, or R is required. Advanced SQL skills preferred. Experiences with Git/Bitbucket, Azure, Databricks is preferred. Advanced Excel skills preferred.     Experience in energy forecasting, energy related industry, or in a regulated setting with direct interaction with regulators preferred.     Experience with policy or forecasting distributed resources (e.g. PV, EV, energy efficiency, demand response, electrification of heat, etc.) preferred.    Good understanding of National Grid’s operations and the regulatory environment preferred.    Strong written and verbal communication skills including the ability to testify before regulators and respond to regulatory data requests.  Ability to explain complex technical concepts to non-technical stakeholders. More InformationThis position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise.  We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve.  National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.  SalarySyracuse $116,000 - 136,000 Waltham $130,000 - $153,000 or Hicksville $139,000 - $164,000 a year.This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Internal candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.",Mid-Senior level,"Senior Data Scientist, Data Science"
+23,2025-03-25,London,United Kingdom,National Grid,https://www.nationalgrid.com/,"National Grid lies at the heart of a transforming energy system. Our business areas play a vital role in connecting millions of people to the energy they use, while continually seeking ways to make the energy system clean, fair, and affordable. 
+
+In the UK we own and develop the high-voltage electricity transmission network in England and Wales, taking electricity from where it’s generated to where it’s needed. National Grid Electricity Distribution delivers electricity to over 20 million people across homes and businesses in the Midlands, South West England, and South Wales. 
+
+In the US, we own and operate electricity and natural gas networks, serving over 20 million people across New York State and Massachusetts.  
+
+National Grid Ventures operates across the UK, Europe, and the US, developing, operating, and investing in large-scale clean energy infrastructure. 
+
+National Grid Partners invests in entrepreneurs at the intersection of energy and emerging tech, with capital, resources, connections, and know-how. ","About UsNational Grid is hiring a Senior Data Scientist for Electric Load Forecasting. This position can be based out of Waltham, MA or Hicksville, NY office. Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.  To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.Job PurposeThe Load Forecasting & Analytics team produces electric and gas forecasts for National Grid. As a Senior Data Scientist specializing in Electric Load Forecasting, you will be responsible for developing long-term electric load forecasts at both system and distribution feeder levels. You will ensure the forecasts incorporate existing and new distributed energy resources, demand-side management, electrification load, other technologies as appropriate, and policies. You will collaborate with internal stakeholders including Supply Procurement, Engineering, Regulatory, Strategy, Finance, and others to ensure the forecasts meet the needs of our stakeholders and reflect latest information on studies, programs, plans, and policies. Additionally, you will support regulatory work, e.g. Massachusetts Electric Sector Modernization Plan for items related to electric load forecasting.Key Accountabilities    Develop long-term Electric Load Forecasts at the system and feeder level using econometric models, time series models, regression analysis, and machine learning models, as appropriate.    Perform exploratory analysis of large complex data sets to derive insights and valuable actions    Ensure the forecasts properly account for distributed energy resources and new technologies and policies (e.g. energy efficiency, demand response, electrification of heat, PV, EV, etc.).     Perform additional analysis relating to the forecast as necessary.     Discover business narrative told by the data and be able to present them to peer data scientists, business stakeholders, and managers at various levels.Provide expert testimony before regulators and defend the forecasts. Respond to data request from regulatory bodies for rate cases and other proceedings.      Assist with code review and quality assurance activities.    Document and archive models and scrips (e.g., using Git/Bitbucket) to enable ongoing support.    The position of senior requires the ability to work independently and communicate to both internal and external stakeholders to present and defend results.  The ability to speak to both technical and non-technical persons to present projects is essential.     Update forecast processes and documentation to ensure they are efficient, reviewable, and reliable.     Collaborate with internal stakeholders (including supply, engineering, regulatory, strategy) regarding forecast methodology and analysis and ensure our deliverables meet their needs.      Stay current in all policies, regulatory requirements, market trends, and industry standards regarding customer energy use and technologies and programs impacting that use, such as energy efficiency and demand response.    Work on researching, implementing, and delivering of items that meet regulatory requirements including the Massachusetts Electric Sector Modernization Plan.Qualifications    A Bachelor’s degree (Master’s or PhD preferred; work experience preferred for Bachelor’s and Master’s degree) in economics, statistics, mathematics, applied analytics, operation research, meteorology, engineering, or related quantitatively rigorous field.    Demonstrated experience with regression analysis, econometric models, or other forecasting modeling techniques is preferred.    Expertise in statistical programming software such as Python, SAS, or R is required. Advanced SQL skills preferred. Experiences with Git/Bitbucket, Azure, Databricks is preferred. Advanced Excel skills preferred.     Experience in energy forecasting, energy related industry, or in a regulated setting with direct interaction with regulators preferred.     Experience with policy or forecasting distributed resources (e.g. PV, EV, energy efficiency, demand response, electrification of heat, etc.) preferred.    Good understanding of National Grid’s operations and the regulatory environment preferred.    Strong written and verbal communication skills including the ability to testify before regulators and respond to regulatory data requests.  Ability to explain complex technical concepts to non-technical stakeholders. More Information National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise.  We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve.  National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.  SalaryWaltham $130,000 - $153,000 or Hicksville $139,000 - $164,000 a year.This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Internal candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.",Mid-Senior level,"Senior Data Scientist, Data Science"
+24,2025-03-31,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The Opportunity Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.At Adobe Firefly, we build foundation generative models for image, video, and other modalities that power the suite of products at Adobe. By using predictive models, experimental design methods, and optimization techniques, the candidate will research, experiment, develop, and optimize CV algorithms/models that understand, generate, and enhance data for training pioneering image and video foundation models powered by data, training, and inference infrastructures.All 2025 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organizations will determine the frequency they need to go into the office to meet priorities.What You’ll DoDevelop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques. Develop and implement scalable, efficient, and interpretable modeling algorithms that work with large-scale production systems data. Research and develop CV algorithms/models to generate image and video training data for GenAI foundation models and applicationsCollaborate with researchers and applied researchers to bring research ideas to production. Collaborate with data, modeling, and inference platform teams to optimize, scale up, and deliver end-to-end solutions to production. What You Need to SucceedCurrently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2025 – June 2026Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. Deep expertise in computer vision, image processing, video processing, and machine learning for Generative AI. Proficient in one or more programming languages such as Python, Java and C++Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learnStrong analytical and quantitative problem-solving ability. Excellent communication, relationship skills and a team playerAbility to participate in a full-time internship between May-SeptemberAdobe is proud to be an  Equal Employment Opportunity  and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.  Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email  accommodations@adobe.com  or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Internship,2025 Intern CV/ML - Machine Learning Engineer
+25,2025-03-31,Annapolis Junction,MD,Interclypse,https://interclypse.com,"Interclypse is a small business headquartered in Annapolis Junction, Maryland, focused on solving complex problems for customers across the US Intelligence Community and customers in the federal and state government and commercial industries since 2007. We combine world-class engineering talent with proven engineering best practices, domain expertise, and a proven agile management methodology to meet our customers' most critical business and mission objectives.  
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+The Interclypse team is on a continuous mission to have a positive transformational impact on society, community, industry, and individuals! Our team accomplishes this mission by continuously ""Doing What is Right."" ","DescriptionInterclypse is seeking Data Scientists.The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career.Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.RequirementsEducationDegree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required.Primary ResponsibilitiesEngage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.To succeed in this position; you need to be curious, creative, and tech-savvy.You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms.You must be persistent and have excellent analytical and problem-solving skills.Devise strategies for extracting semantic value from large datasets.Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions.Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.Required Skills/ExperienceExperience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora)Experience with programming in R, Python, JavaExperience with NoSQL databases ( e.g., MongoDB, Accumulo)Experience designing data models and approachesExperience working in a cloud environment ( e.g., AWS, Azure)Experience with LinuxExcellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levelsAbility to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environmentDesired Skills/ExperienceExperience with programming in TensorFlow, PyTorchExperience with Hadoop, MapReduceExperience with TableauExperience with CognosExperience with designing, implementing, and using REST APIsExperience with RDF/OWL, SPARQL, and Semantic Web technologiesExperience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plusExperience with Data catalogs and data managementAbility to help visualize the data for analysis and to display resultsWhy You Might Like This JobYou’re tired of working for a massive organization.You want to work for an established company that values your stable career.You want to work with a team who loves their job and making cool stuff.You want to be part of a team focused on making a positive impact.You want to grow your skills in management or work toward becoming an expert.You want to have the option for career mentorship, both in technology and in business.You value a company with a strong culture of growth and support.BenefitsEmployee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity.Comprehensive time off and leave programs:31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdaysParental Leave: 40 HoursBereavement Leave: 24 hours.Military Reserve Leave (up to 80 hours, see employee handbook for details).Jury Duty Leave 16 hours.Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximumHealth Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details).Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for familiesVision InsuranceDental Insurance includes orthodontics coverageLife InsuranceAccidental Death and Dismemberment InsuranceDisability: Short-term and long-term disability coverageEducational support: reimbursement up to the federal max of $5,250Company apparel: $200 for company apparel each yearSocial events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and moreInterclypse isn’t your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: ""Doing What is Right"". Apply today to see how you can join our winning team and start down the career path that’s right for you!EOE AA M/F/Vet/DisabilityInterclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate’s experience and education/training, internal peer equity, and market and business consideration.",Entry level,Data Scientist - All Levels
+26,2025-03-28,San Jose,CA,Zoom,www.zoom.com,"Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom AI-first work platform you know and love. 💙
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+Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, Contact Center and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.
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+We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you'll find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
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+Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home","What You Can ExpectBe part of a team whose focus is to solve cutting edge AI problems and implementation that constantly advance the state-of-the-art. You will be working across various AI/LLM areas including GenAI, and other interesting challenges that are stimulating at Zoom's scale. Will work on LLM applications/integration and tuning for the Zoom major products.About The TeamWith eight specialized departments, the engineering team functions as a highly collaborative, diverse powerhouse. Each department mission is to deliver seamless and innovative communication solutions. These range from software development and machine learning to quality assurance teams that work to create and maintain Zoom's user-friendly interfaces and robust infrastructure. The team continues to push the boundaries of communication technology, bringing people together regardless of their physical distance.ResponsibilitiesEvaluating Artificial Intelligence function. LLM prompt engineering.Supporting AI model optimization.Building and deploying state of the art GenAI use cases.Building pipelines to consume the various data source for AI services.Building metrics, dashboards to measure both AI and system performance.Working closely with the research teams to build required tools and services to make them productive.Working closely with the product and operations teams to integrate ML services seamlessly into the products.Working closely with the product and operations teams to integrate ML services seamlessly into the products.Working closely with various teams on data acquisition, cleanup and related tooling.What We're Looking ForHave a relevant expertise in Computer Science, Artificial Intelligence, Machine Learning, or related STEM field.Have 5+ years work experience.Have coding skills in Python, C/C++, or Java.Experience with LLM tuning, prompt engineering.Experience with one or more of the following: Natural Language Processing, text understanding, classification, ranking systems or similar.Have a solid comprehension of AI concepts, algorithms, and frameworks (e.g. TensorFlow, PyTorch).Have knowledge about software development best practices and version control systems (e.g. Git).Have troubleshooting and debugging skills.Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more informationAbout UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.Our CommitmentWe believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.Minimum:Salary Range or On Target Earnings:$127 700,00Maximum:$255 400,00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.We also have a location based compensation structure; there may be a different range for candidates in this and other locationsAt Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!Anticipated Position Close Date:05/30/25Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.Our Commitment We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.",Not Applicable,Machine Learning Engineer
+27,2025-03-27,New York,,Adapty.io,https://go.adapty.io/main,"Revenue management platform to help your app make more money. Delegate the boring infrastructure to Adapty, create native paywalls in minutes, double your subscription revenue with A/B testing, and watch your app grow in real time. 
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+We're hiring! https://adapty.io/jobs","Adapty is a revenue management platform for mobile apps that simplifies subscription implementation and paywall management. We help developers quickly monetize their apps, serving 7,000 apps and processing $1 billion in in-app subscriptions annually. Backed by top investors like 500 Startups and Surface Ventures.At Adapty, we pride ourselves on offering the best analytics for subscription apps. In addition, we provide powerful predictive tools, including the ability to forecast the outcomes of A/B tests and predict revenue and LTV for cohorts.We’re looking for ML Engineer/Data Scientist to join us and drive our machine learning and data science initiatives even further.What You Will DoTake ownership of your models, guiding them from initial research to full deployment in production, and ensuring they continue to deliver value over time.Build and improve models to predict customer revenue and lifetime value (LTV) for mobile apps, helping our customers make better business decisions.Providing benchmarks for customer metrics, including Install-to-Trial conversions, Install-to-Paid conversions, and LTV compared to industry standards.Make A/B testing smarter by developing tools that identify winning strategies faster and with less data.Create models that design highly effective paywalls tailored to each app’s category and audience, optimizing pricing, layout, and content.Use data to uncover actionable insights, such as identifying where a small price adjustment could significantly boost revenue.What We ExpectStrong Analytical Foundation: You have a solid grasp of math, statistics, and probability theory.Machine Learning Expertise: You know how to build both interpretable and advanced black-box machine learning models, and you’ve put them into production before.Revenue-Focused Experience: You’ve worked on predictive models for metrics like revenue and LTV, and you understand the challenges in these areas.End-to-End Ownership: You’re comfortable taking a model from an idea to a live, production-ready system—and keeping it running smoothly.Product-based Approach: You focus on results that make a difference for users, driving value with every project you take on.What We OfferFlexible Remote Work: Work from anywhere with a schedule that fits your life. While our core team operates in Europe, we welcome global candidates via deel.com.Perfect Product Fit: Promote a product that aligns seamlessly with market needs, making your work impactful and fulfilling.Direct Communication: A transparent and efficient work environment focused on achieving goals.Fast-Track Impact: Receive clear, market-driven feedback on your work as we expand into the US and beyond.Additional Benefits: Enjoy perks like free English lessons, sports and laptop reimbursements, and ample opportunities for professional growth.Join Adapty and help shape the future of mobile app monetization through cutting-edge machine learning and data science solutions!Share This JobJob InformationJob TypeData ScientistDepartmentDevelopmentLocationRemoteEmployee TypeFull-timeCareer LevelSeniorApply for a job now",Entry level,ML Engineer/Data Scientist
+28,2025-03-30,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The OpportunityAdobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.By using predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.All 2025 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.What You’ll DoDevelop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques. Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systemsCollaborate with product management and engineering groups to develop new products and features. What You Need to SucceedCurrently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2025 – June 2026Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. Proficient in one or more programming languages such as Python, Java and CFamiliar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learnStrong analytical and quantitative problem-solving ability. Excellent communication, relationship skills and a team playerAbility to participate in a full-time internship between May-SeptemberAdobe is proud to be an  Equal Employment Opportunity  and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.  Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email  accommodations@adobe.com  or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Internship,2025 Intern - Machine Learning Engineer AI/ML
+29,2025-03-25,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The Studio Media Algorithms and Eyeline Research teams are at the forefront of innovation to enhance and support the vision of creators of movies, TV shows and other multimedia content at Netflix. Our work is aimed at increasing member value and driving efficiency of the content creation process, ultimately bringing more joy to viewers worldwide.We are seeking an experienced Machine Learning Software Engineer to join our team of world-class researchers. You will work closely with the scientists at the Eyeline Research team, and design and develop scalable systems and infrastructure that enable researchers to create and deploy AI/CV/graphics algorithms for use by studio/content creators and stakeholders.In This Role, You WillDesign and develop systems and reusable frameworks for the full cycle of ML/AI R&D in the multimedia domain, including data processing, efficient distributed model training with GPUs, and deploying models into creator workflows and production systems.Collaborate cross-functionally with research scientists, product managers, and creative and business partners to define and prioritize system requirements.Work closely with ML/CV/Graphics researchers and Studio teams to productionize algorithms and models, and efficiently run human-in-the-loop inference tasks.Participate in model development and propose scalable designs.Champion and facilitate software engineering best practices within the team.About YouProven experience in software engineering within a production environment, including proficiency in object-oriented programming (Python, Java, or C++), CI/CD, etc.Familiarity with ML, CV, GenAI, and/or graphics pipelines, and experience with distributed data processing systems.Proficient in cloud infrastructure, including S3, Docker containers.Basic understanding of (multi) GPU training and inference for debugging and performance assessment, and CUDA runtime.Passionate about transforming ideas into products and enhancing user experience.Excellent communication and interpersonal skills, with a strong ability to navigate ambiguity.Bonus ExperienceExperience building end-to-end multimedia systems and algorithms.Deep experience with AWS and understanding of FSx.Proficiency with deep learning frameworks such as PyTorch and TensorFlow.Experience in the content creation domain, such as visual effects or animation.Familiarity with generative models and tools, such as diffusion-based models and ComfyUI.Knowledge of graphics and VFX tools and/or game engines, such as Unreal, Houdini, or Nuke.Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000 - $750,000.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.",Not Applicable,ML Software Engineer (L4/L5) - Media Algorithms
+30,2025-04-06,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.Responsibilities - What You'II Do Build industry-leading recommendation system, improving user experience, content ecosystem and platform security; Deliver end-to-end machine learning solution to address critical product challenges; Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.QualificationsMinimum Qualifications: Bachelor degree or above in the field of computer science or a related technical discipline Proficient coding skills and strong algorithm & data structure using C++/Python or other programming language Experienced in Machine Learning, familiar with at least one DeepLearning framework, e.g. PyTorch, Tensorflow. Experienced in one or more of the following areas, e.g. NLP, CV, Recommender System, and Machine Learning, etc Effective communication and teamwork skillsPreferred Qualifications Authors of published papers in top academia conferences is an advantage Winners of algorithm and machine learning competitions such as ACM and Kaggle is an advantageTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $119000 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,(General Hire) Machine Learning Engineer Graduate (TikTok Recommendation) - 2025 Start (Master)
+31,2025-03-27,New York,New York,Russell Tobin,https://www.russelltobin.com/,"Bring Top Talent With Your Company With Russell Tobin
+Headquartered in New York City with offices throughout the United States, United Kingdom, Ireland, The Netherlands, Brazil, Canada, India, and Singapore, Russell Tobin—a division of Pride Global—offers total staffing and recruitment solutions across a wide range of industries. Our team of highly skilled recruiters, sourcers, and subject-matter experts understand exactly how to find world-class candidates that will fit your company’s precise needs. Whether you need skilled professionals ready to deliver results in complex sectors such as banking or technology, or you’re looking to build out your own staffing efforts with a recruiter-for-recruiters (R4R) model, Russell Tobin can make the connections. 
+
+Our Bespoke Approach to Connecting Talent With Companies
+When an organization comes on board as a client, Russell Tobin takes the time to understand the company from the inside out. We work directly with you and your leadership team to create an end-to-end solution capable of handling the full recruitment lifecycle, tailored to your company’s needs and culture. After gathering the critical data we need to seek exactly the right candidates for your hiring strategy, our recruiters take over, using their deep understanding of your industry to build out talent pools and discover game-changing new hires.  
+
+A Proud Member of a Decidedly Diverse Network of Companies
+As part of Pride Global, Russell Tobin serves as one of industry’s only minority-owned payroll and staffing organizations, giving you the opportunity to satisfy Tier 1 diversity spending requirements. We’ve also taken this commitment much further through our Decidedly Diverse initiative, which seeks to create greater diversity, equity, and inclusion across our workforce and workplace, as well as the wider world in which we live. Learn more at https://decidedlydiverse.com.  
+","What are we looking for in our Data Engineer/ Analytics Engineer?Job Title: Data Engineer/ Analytics EngineerLocation: Mountain View/ SFO, CA (Hybrid)Duration: 4-5 MonthsPay Range: $80-$85/h on DOEJob Description:Maintain and enhance foundational data pipelines that power self-service analytics, automate critical reporting workflows to significantly reduce manual efforts, and ensure pipelines are consistently refreshed with new or seasonal data.The ideal candidate has strong SQL and data modeling skills, experience building scalable data pipelines (e.g., with Airflow or dbt), expertise in BI tools (e.g., Looker, Tableau, Power BI), and a proven track record of working collaboratively with cross-functional teams to drive data-driven decision-making.The role also involves collaborating with stakeholders to leverage standardized A/B test reporting frameworks to make business decisions. (Nice to have)Rate/Salary: $80-$85/h on DOE",Entry level,Data Engineer/ Analytics Engineer
+32,2025-04-04,"Provo, UT and Seattle, WA",,Qualtrics,https://www.qualtrics.com/,"At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 19,000 clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. That’s where we come in. 
+
+Founded in 2002, our company has spent over 21 years working with the industries that impact you every day. From retail to government to healthcare, we’ve been on a mission to bring humanity, connection, and empathy back to business. It’s a mission that thousands of Qualtricians across the globe think is work worth doing.
+
+Mission: At Qualtrics, our mission is to build technology that closes experience gaps.","At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.Machine Learning EngineerWhy We Have This RoleWe are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!How You’ll Find SuccessWork in a supportive environment enables individual growth and achievement of team goalsCollaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customersDevelop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning modelsImplement new features and optimize existing ones to delight our customersHow You’ll GrowWork in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing businessBuild and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.Things You’ll DoWork closely with, and incorporate feedback from other specialists, tech-ops, and product managersLead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacityAttend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customersFinding quick ways to prototype and test possible solutions to large problemsWhat We’re Looking For On Your ResumeBachelor’s degree in Computer Science or related fields.Interest in modern machine learning / deep learning systemsStrong Computer Science fundamentals in algorithm design, complexity analysis, and performanceExperience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented designExperience with applied machine learning models and large-scale ML systemsWhat You Should Know About This TeamThe Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. This team builds core machine learning infrastructure and services.We partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth.Our Team’s Favorite Perks And Benefits$1800 Experience bonus to be used for an “Experience” of your choosingUnlimited Sick DaysAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection ActQualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.Washington State Annual Pay Transparency Range$99,500—$187,000 USD",Entry level,Machine Learning Engineer
+33,2025-04-03,Sydney,NSW,Atlassian,https://atlassian.com/,"Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone.
+
+From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. 
+
+Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time.
+
+With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software.
+
+We believe the power of teams has the potential to change the world—one that is more open, authentic, and inclusive.","OverviewWorking at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.Your Future Team The mission of Atlassian is to unleash potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. AI/ML is significantly transforming how teams come together to plan, track, and deliver work across software and business teams using our products. We are looking for rockstar Machine learning engineers to come help us to further this mission and help make teams more productive leveraging AI across our product portfoilo.ResponsibilitiesWhat you'll do As an Applied Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations. You will be responsible for application of AI/ML to various product problems to improve Atlassian products and actively contribute to Atlassian Intelligence features.QualificationsOn your first day, we’ll expect you to haveBachelor's or Master's degree (preferably a Computer Science degree or equivalent experience). Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL. Knowledge of Spark and cloud data environments is a plus (e.g. AWS, Databricks) Experience building and scaling machine learning models using large amounts of data Agile development mindset, appreciating the benefit of constant iteration and improvement It's great, but not required, if you have Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space Experience in developing deep learning-based models and working on LLM-related applications Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions CompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:Zone A: $192,600 - $267,700Zone B: $173,400 - $241,000Zone C: $159,900 - $222,200This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.Our Perks & BenefitsAtlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.About AtlassianAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.To learn more about our culture and hiring process, visit go.atlassian.com/crh .",Mid-Senior level,Machine Learning Engineer
+34,2025-04-02,,,McKinsey & Company,http://www.mckinsey.com,"McKinsey & Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions. 
+
+We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address problems that no one else can. We have deep functional and industry expertise as well as breadth of geographical reach. We are passionate about taking on immense challenges that matter to our clients and, often, to the world. 
+
+We work with our clients as we do with our colleagues. We build their capabilities and leadership skills at every level and every opportunity. We do this to help build internal support, get to real issues, and reach practical recommendations. We bring out the capabilities of clients to fully participate in the process and lead the ongoing work.","Who You'll Work WithAt McKinsey, our most valuable resource is our people. As such, we have built a world class team dedicated to optimizing people management and facilitating data driven decision making, including strategies to improve employee satisfaction, team structure, employee management, recruiting decisions and other high impact use cases.The People Analytics and Measurement team is globally respected as a leader in its field. You will be provided the opportunity for in-depth exposure to new, emerging methodologies through hands-on client projects, e-learning, certifications, live boot camps and global analytics conferences. This team works in one of the fastest growing disciplines in analytics.You will be part of the technology architecture and enablement pod. You will contribute to a diverse, curious, entrepreneurial and innovative team that operates at the intersection of cloud computing, architecture, operations alongside natural language processing (NLP) and machine learning (ML). Each member of the team is motivated by personal and technical growth and enjoys a highly autonomous working environment along with team oriented projects.Your ImpactYou will deal with Product and Services architecture and you will work at the intersection of other pods that deal with Data Engineering, Data Integration, Application Development and Data Science.You should be able to deploy ML, NLP and other similar solutions in a production environment at scale.You will be given ownership across the entire Software Engineering and Ops Lifecycle with a strong emphasis on Machine Learning Engineering to deploy models, and training, inference and validation pipelines into production.In the process, you will be supported and encouraged to become a Technology Architect.You will work with Data Engineers, Developers, Analysts and Product Owners to build scalable, reliable, and impactful services.You will be creating and maintaining stable, performant services (real-time, streaming, batch and scheduled) and applications that will deal with prescriptive analytics pre-dominantly which will help in driving firm decisions on the basis of large data-sets within the firm.You will design, implement, deploy into the cloud, and integrate state-of-the-art machine learning services at scale in production into critical firm workflows that need to be availed for stakeholders and users to serve the following use-cases - recruitment, trainings for firm members, team composition, staffing, satisfaction of your colleagues, etc.You will build self-serve tools and services that will be leveraged by Product Owners and non-tech colleagues to analyze and to distill unstructured text data into actionable insights. For example, you will deploy solutions that analyze unstructured text like resumes, job descriptions, surveys, and other firm documents to help with use-cases in recruiting, staffing, etc.You will architect scalable and performant solutions for the firm’s use-cases; provision and support Platforms, Tools, and Services necessary to drive Advanced Analytics, BI initiatives, and AI/ML opportunities in the People Technology space; conduct Discoveries and in-depth analysis of Cloud Services and SaaS platforms to determine the optimal tech stack for the team.You will develop NLP, ML Ops, and other capabilities for data scientists across the firm to use; aid Development teams with activities related to Architecture diagrams, Cloud Infrastructure setup and Security.Your Qualifications and Skills3 + years experience developing production oriented systems in Python is required. Experience with R preferredApplied understanding of Natural Language processing techniques and Gen AI (e.g. language transformers / Large Language Models, text embeddings, and topic modeling), Statistical methods (e.g. linear and logistic regression), Machine Learning methods and optimization (e.g. boosted trees and deep neural networks), and graph algorithms with efficacy metricsPrior experience with Infrastructure as Code (IaC) using solutions like Cloud Formation, Terraform or similar tools; developing CI/CD automation (primarily using GitHub actions, ArgoCD)Hands on experience working with AWS services such as the ones related to Networking (VPC, Load Balancers), Compute (ECS, EKS, EC2), Storage (S3), Serverless (Lambda), API Gateway, Data Science services (Sagemaker), etc.Bachelor’s degree preferred in computer science or related field",Mid-Senior level,Machine Learning Engineer
+35,2025-04-01,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.AboutAs Netflix continues to grow, so do the opportunities to enhance our personalization systems and algorithms. We're looking for a passionate and talented Software Engineer for Machine Learning to join our Algorithms team. In this role, you will apply your expertise in software engineering to design, develop, and scale solutions for the machine learning algorithms that power the Netflix experience. You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests. For more details about software engineering for personalization at Netflix, see these links:Consolidating ML modelsInTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation ModelsEvidence PersonalizationPage Simulation for Better Offline Metrics at NetflixRecSysOpsAs a software engineer in the team, you will contribute to the next generation of algorithms used to generate the Netflix experience by driving the vision, requirements, design, implementation, testing, and ownership of software components essential for our algorithmic innovation. You will collaborate with our applied researchers and data scientists to implement scalable, flexible, production-ready solutions for our algorithms. You will also guide the team towards better software engineering practices and systems by identifying areas for improvement and mentorship. You will collaborate with other engineers to create solutions that are used beyond our team. To excel in this role, you should have a robust software engineering background, a keen sense of software engineering principles and design, a proven experience with large-scale applications involving machine learning, a love of learning, possess strong communication skills, and the ability to work well in large cross-functional teams.What We Are Looking ForA degree in Computer Science or a related field 4+ years of full time software engineering experience with a bachelor’s degree; or 2+ years of experience with a graduate degreeExcellent software design and development skills in Python along with Scala, Java, C++, or C#Solid understanding of various software engineering best practices and their appropriate applicationExperience building web-scale parallel and distributed computing systemsExperience with large-scale data frameworks such as Spark or FlinkExcellent collaboration skillsBroad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systemsPreferred, But Not RequiredExperience building or enhancing personalization systems, machine learning platforms, search engines, or similar large-scale machine learning applications.Experience building machine learning models or LLMsExperience scaling and optimizing the training and serving of machine learning modelsExperience with machine learning libraries TensorFlow, PyTorch, JAX or KerasExperience with cloud computing platforms like AWSBackground in math, statistics, or numerical computationSignificant contributions to open-source projectsNote: Level and compensation are determined based on your demonstrated experience, skills, and interview performance. We have several open positions within the personalization, search, and recommendations space. The specific role will be determined based on the candidate's skills and fit, which will be evaluated after the initial round.What Do We OfferOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Machine Learning Software Engineer L4/L5
+36,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Ads/Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our teams develop a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, vertical solutions, creative solutions, and business integrity.This channel serves as the entry point for our general hiring process: you will go through two to three rounds of technical interviews and then proceed to team matching. Your profile will be reviewed by multiple teams within Monetization Technology, which is a great benefit!If you see the “General Hire” in the title of this position, it means that the position is for multiple departments. After applying for this role, your profile will be considered for multiple openings across the department; team-matching will be conducted by hiring managers based on your interview results.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Key Responsibilities Participate in the development of a large-scale Ads system. Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the TikTok ads monetization ecosystem. Work with product and business teams on product vision.QualificationsMinimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, or other relevant majors. Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python. Experience with deep learning and machine learning. Ability to think critically and to formulate solutions to problems in a clear and concise way.Preferred Qualification Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,(General Hire) Machine Learning Engineer Graduate (Advertisement Team) - 2025 Start (BS/MS)
+37,2025-03-25,Mountain View,California,Intuit,https://www.intuit.com/,"Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
+
+We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations. ","OverviewIn this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...What you'll bringModel Prototyping: The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models.Model Productionalization: Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models.Model Enhancement: Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose.Machine Learning Tools: The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling.QualificationsBS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).How you will leadDiscover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $132,000 – 178,500, Bay Area California $136,00 – 184,000, Southern California $122,500 – 165,500 . This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.",Associate,Machine Learning Engineer 2
+38,2025-01-21,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
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+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+39,2025-03-21,Plano,TX,Toyota North America,https://careers.toyota.com/us/en,"At Toyota, we’re known for making some of the highest quality vehicles on the road. But there is more to our story. We believe in putting people first and creating opportunities for our team members to build careers as unique as they are. As one of the world’s most admired brands, we are leading the way to the future of mobility, so everyone can move freely, happily and comfortably. We have big dreams and believe that nothing is impossible. 
+
+Ready to Dream, Do and Grow with us? Visit https://careers.toyota.com/us/en for information on career opportunities at Toyota.
+","Magnit Direct Sourcing on behalf of Toyota is currently hiring for a Machine Learning Engineer role for a temporary, onsite assignment in Plano, TX.This position is a 6-month assignment, with potential to extend. The pay range for this role is between $43.15 - $70.37/Hr. Benefits: Medical, Dental, Vision, 401K.Title: Machine Learning EngineerLocation: Plano, TX.Duration: 6 monthsDescriptionWhat we’re looking for We are seeking a skilled Machine Learning Engineer to join our team and help transform and modernize critical data science models from legacy code and systems to modern cloud-based solutions using Python, AWS SageMaker, and Snowflake. We are looking for a candidate who excels in writing high-quality Python code that adheres to industry and internal coding standards and is proficient with our modern tech stack.In addition to development, a key focus of this role will be designing and implementing comprehensive testing strategies, including unit, integration, and end-to-end tests. Additional responsibilities will include helping to build, release, and maintain model pipelines and model APIs. This will involve working with our cloud tech stack, CI/CD pipelines, and containers, and collaborating with data scientists, machine learning engineers, DevOps, and InfoSec teams to deploy new projects and ensure the success of model releases and retraining activities.What You’ll Be DoingTransform legacy code into robust, high-quality Python code that complies with internal coding standards and includes comprehensive test coverageWork with the machine learning engineering team to develop and implement robust testing strategies, including unit, integration, and end-to-end testsBuild a maintain scalable machine learning pipelines on AWS cloud platforms using SageMaker and SnowflakeAssist in deploying machine learning models into production environments, ensuring scalability, reliability, and performanceMaintain and monitor existing pipelines and model APIs to ensure optimal functionalityWork closely with data scientists, machine learning engineers, DevOps and InfoSec teams to initiate and manage various releasesTranslate business requirements into technical solutions through effective communicationTranslate technical project details into clear documentation and intuitive diagrams that help integrate information flows with upstream and down stream teamsRequirementsGraduate degree in a quantitative discipline (or equivalent experience) or will be completed within three months.Proficiency in Python and SQL development.Experience with modern software development practices, including version control systems and infrastructure-as-code.At least one year of relevant work experience is requiredExperience in building and deploying machine learning models in cloud environments (AWS, Snowflake)Desired:""Highest degree specifically in: Statistics, Mathematics, Physics, Engineering, Computer Science, Economics / Econometrics, Finance, Data Science, Machine Learning, AI, Financial Engineering, Computational Finance, Operational Research, Industrial Engineering. ""Active AWS Solutions Architect Associate certificationExperience with SAS (statistical analysis) programming languageExperience working with API frameworks (Flask, FastAPI) and Amazon SageMakerAbility to design and implement comprehensive testing strategies.Talented, dedicated people are an integral part of our mission to build the best workforce, working together to create the future of mobility and make the world a better place. We are always on the lookout for diverse, driven, and collaborative talent interested in performing contract work for Toyota.Click here to join our talent network and be the first in line when a new contingent job opportunity opens at Toyota through Magnit Direct Sourcing.Magnit is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.QUALIFICATION/LICENSUREWork Authorization : Green Card, US CitizenPreferred years of experience : 4 yearsTravel required : No travel requiredShift timings : 9 AM to 5 PM",Entry level,Machine Learning Engineer
+40,2025-03-30,San Francisco,California,"Reddit, Inc.",http://redditinc.com,"Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. Share, vote, and decide what matters in everything from breaking news, to fandoms, lifehacks, gaming, sports, health, and the internet’s cutest animals. With over 100,000 subreddit communities about every topic you could think of (and thousands more you couldn’t), whatever it is, there’s a place for you on Reddit. 
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+Interested in joining our growing team? Check out redditinc.com/careers.","Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.Location:This role is completely remote-friendly. If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like.Team DescriptionThe Search & Recommendation Relevance team focuses on delivering the most relevant results and recommendations when users search for anything on Reddit. Our systems and algorithms operate on the world's largest corpus of human conversation, showcasing the best answers and opinions from all across Reddit on any topics, empowering discovery.We are looking for Machine Learning Engineers across multiple levels to shape the future of Search products at Reddit.Role DescriptionIn this role, you will contribute to advancing our current search systems as well as building and iterating on Reddit Answers, our next generation AI-driven search product. As a Machine Learning Engineer, you will:Develop and enhance Search Retrievals and Ranking models - from optimizing lexical search (e.g. SOLR tuning) to designing and iterating on semantic models and ranking systems. Design and build pipelines and algorithms that make it effortless for users to find high-quality answers - whether it's recommendations for the best hiking trail, travel advice, or reviews of the next product or restaurant. Collaborate with product managers, data scientists, ML modelers and platform engineers to build a state of the search recommender system.Develop and test new components in our pipelines, deploying ML models, integrating LLMs, and ensuring effective monitoring and product integration.Leverage your technical expertise to ensure our pipelines maintain high uptime and low latency, while collaborating with other technical leaders to develop a long-term roadmap that aligns with the needs of a constantly evolving search product ecosystem. This is a high-impact role where you will be involved in technical & product strategy, operations, architecture, and execution for one of the largest sites in the world. Required Qualifications3-10+ years of industry experience as a machine learning engineer or software engineer developing backend / infrastructure at scale. Experience in working and building machine learning models using PyTorch or Tensorflow.Experience working with search & recommender systems and pipelines.Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Golang.Experienced with GraphQL, REST, HTTP, Thrift or gRPC basics, and the ability to design and implement maintainable APIs. Deep systems level understanding of industry scale recommendation systems.Experience of developing applications using large scale data stack - e.g. Kubeflow, Airflow, BigQuery, GraphQL, Kafka, Redis etc.BenefitsComprehensive Healthcare Benefits401k MatchingWorkspace benefits for your home officePersonal & Professional development fundsFamily Planning SupportFlexible Vacation (please use them!) & Reddit Global Wellness Days4+ months paid Parental LeavePaid Volunteer time offPay TransparencyThis job posting may span more than one career level.In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.The Base Pay Range For This Position Is$185,800—$322,000 USDReddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.",Mid-Senior level,"Machine Learning Engineer, Search (multiple levels)"
+41,2025-03-20,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.To meet our members’ entertainment needs, Netflix has invested in scaled Content Production & Promotion workflows. With assistance from creative supervision and member feedback data, we have built tools & processes that use technologies like Computer Vision, Graphics, Machine Learning & Generative Algorithms to enable our creators to tell the best version of the story they want while allowing our studio to scale further.The Content & Media ML Foundations team within Data Science and Engineering, builds and delivers high-leverage foundational ML solutions using Netflix’s unique media data, driving impact across content creation and promotion, member personalization and advertising (Ads). Our work advances multi-modal content understanding, and we conduct exploratory research on generative models to drive long-term innovations in filmmaking and media intelligence.We are looking for an experienced ML engineer to develop, optimize and deploy scalable ML solutions that power content intelligence at Netflix.ResponsibilitiesDesign, build and optimize ML pipelines for content understanding and media intelligence. Develop and deploy large-scale ML models efficiently using Netflix’s ML infrastructure.Optimize model performance and inference efficiency, ensuring scalability in high-throughput distributed environments. Automate ML workflows for training, tuning and deployment, enabling faster experimentation and productization.Collaborate with ML scientists and engineers to integrate multimodal models and embeddings into downstream applications, including retrieval, ranking and search pipelines. Improve ML observability, model evaluations, model monitoring, and debugging tools to ensure reliability of deployed models. Stay up to date with ML infrastructure advancements, identifying new technologies and best practices to enhance efficiency. About YouYou have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures. You have a track record of deploying ML systems at scale, particularly in high-performance inference and distributed training environments. You have hands-on experience with training large generative models across multiple modalities (text, images, videos).You have a strong understanding of feature engineering, data pipelines, and model lifecycle management.You hold an advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence or computer vision.You have at least 5 years of relevant industry experience designing and implementing ML models, particularly in the areas of natural language processing, audio and video understanding.You are proficient in Python and have experience with ML/DL frameworks such as PyTorch, or Jax.You excel at complex problem solving with innovative solutions, developing novel algorithms, and adapting existing methods from literature to new challenges. You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.You thrive in fast-paced dynamic environments, contributing positively to team collaboration and company culture.Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000 - $750,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Machine Learning Engineer (L5) - Content & Media ML Foundations
+42,2025-01-12,New York,New York,Arthur,https://arthur.ai/,"The AI Performance Company. We work with enterprise teams to monitor, measure, and improve machine learning models for better results across accuracy, explainability, and fairness. We are deeply passionate about building technology to make AI work for everyone. 
+
+Arthur is an equal opportunity employer and we believe strongly in ""front-end ethics"": building a sustainable company and industry where strong performance and a positive human impact are inextricably linked. 
+
+We're hiring! Take a look at our open roles at arthur.ai/careers.","About ArthurAt Arthur, we are deeply passionate about building technology to make AI understandable, effective, and fair. Arthur makes machine learning work for enterprises through performance monitoring, explainability, and bias detection. We believe strongly in front-end ethics: building a company and industry where strong performance and a positive human impact are inextricably linked. This position is a rare (and fun!) opportunity to help shape the future of AI and its real-world impact.About The RoleArthur is looking for product-focused Machine Learning Engineers to join our team, to operate with autonomy and with the support of the team to lead and build out our product vision and deliver value to our customers.What You'll DoFocus on ML, especially LLMs, model performance, security, and robustness: make LLMs and model-based systems respond accurately, quickly, and comprehensively to general and task-specific interactions by both natural and adversarial users - for example, checking veracity of responses, hardening against prompt injection, query-based routing to different models, and generation of evaluation datasetsBuild out new techniques and tooling in ML model monitoring: data drift detection, high-dimensional density estimation, time series anomaly detection; detection and mitigation of issues in fairness and bias in ML algorithmsRun machine learning experiments independently and in collaboration with product teams, and communicate results to internal stakeholders as well as the broader ML community via publications in top-tier conferences, industry conference presentations, deep technical blogs, and eventsDrive value creation using our product with our customers in collaboration with our customer teams by engaging in targeted and focused short-term project work to understand, experiment, refine and deploy ML-enabled features for customer use-casesStay up to date on the latest developments in the field - we operate in a nascent space with plenty of signal and plenty of noise coming from arXiv and open source projectRequirementsWhat we're looking for2+ years of professional experience in software engineering, ideally providing strong ML support (or equivalent)Deep experience writing production-grade PythonExposure to (or experience) ML frameworks, such as JAX, Tensorflow, or PyTorchUnderstanding of software engineering best practices, version control, and containerizationCustomer empathy and a willingness to engage directly with customers and stakeholdersExperience deploying ML models to productionDeep interest in LLMs (to start) and multimodal generative models (soon!), specifically using these to build softwareYou might also have (nice to have, definitely not required)Experience with comprehensive model risk managementExperience with public cloud services, such as AWS, Google Cloud, or AzureExperience or interest in interactive machine learning, HCI, human-centered ML and LLM evaluation, etcKnowledge of and ability to (re)learn statistical methods and contemporary ML algorithmsBenefitsWhat to expect at ArthurTeammates who value curiosity, hard work, collaboration, and creative problem-solving -- and good swagA team of professionals who are passionate about our work and making a positive impact through AIA caring culture; we value and prioritize our team's physical and mental health, encouraging and celebrating life outside of workAutonomy to pursue your role and interests with room to grow, with a team behind you that always has your backJoy, humor, and a little dose of healthy competition (in our business, we win as a team; on company game night, may the best Arthurian win...)We offerCompetitive compensation plus medical, dental, and vision insurance, and a 401K (with matching)Our target base salary range for this role is $160,000 - $230,000, based on level of experience and how your skills align with role requirementsEquity in what we're building together, backed by some of the most respected VCs in the industryA flexible learning and development budget: we'll support ways to learn and grow in the areas that matter to youHighly discounted wellness and fitness benefitsFlexible PTO with vacation minimums, which we really want you to take and enjoyThe ability to work in a highly flexible hybrid environment - both from home, and from our NYC office with our team",Mid-Senior level,Machine Learning Engineer
+43,2025-03-23,Mountain View,California,Intuit,https://www.intuit.com/,"Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
+
+We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations. ","OverviewIn this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...What you'll bringModel Prototyping: The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models.Model Productionalization: Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models.Model Enhancement: Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose.Machine Learning Tools: The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling.QualificationsBS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).How you will leadDiscover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $132,000 – 178,500, Bay Area California $136,00 – 184,000, Southern California $122,500 – 165,500 . This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.",Associate,Machine Learning Engineer 2
+44,2025-03-30,Redwood City,California,Moloco,http://www.moloco.com/,"Moloco’s mission is to empower businesses of all sizes to grow through operational machine learning. With Moloco’s machine learning platform for growth and performance, every app publisher, commerce marketplace, and streaming business can now unlock the value of their unique, first-party data. 
+
+Moloco Ads enables performance marketers to scale user acquisition for mobile apps through our advanced machine learning models. 
+
+Moloco Commerce Media enables retailers and marketplaces to build their own ads business with a flexible solution that delivers relevance, results, and automation for scaled and streamlined ad operations. 
+
+Moloco Streaming Monetization enables streaming media companies to revolutionize their monetization strategy by building an outcomes-based ads business that delivers relevancy for users and results for advertisers. 
+
+Moloco was founded in 2013 by a team of machine learning engineers and has offices throughout the US, the UK, Germany, Korea, China, India, Japan, and Singapore.","About Moloco:Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data— the same robust performance powered by machine learning has previously been unavailable beyond their platforms.That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. In 2023, we received Google’s Cloud DevOps Dreamers Award, a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work! Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and YouTube.Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv and Tokyo.Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our mission -- to empower businesses of all sizes to grow through operational machine learning.Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!The Impact You’ll Be Contributing to Moloco:We are an engineering company founded by engineers. We understand the value of a strong engineering team and strive to hire only the best engineering interns.We are seeking exceptional Machine Learning interns to join us in building a state-of-the-art machine learning system. Moloco’s programmatic advertising engine is powered by custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies. As an intern, you can expect to be a full member of the team you join and will be treated as a junior engineer, with the same expectations, project opportunities and responsibilities. Some examples of past intern projects are:Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.Building machine learning productivity tools (e.g. model quality measurement), deploy them in Kubernetes, and help model engineers adopt them.Minimum Qualifications:Able and willing to work from our Redwood City, CA office.Available to work during the summer of 2025 (May through September).By the start of the internship, actively enrolled in a Bachelor's, Master’s or PhD program in Computer Science, or a related technical field, and returning back to the school program at the completion of the internship.Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2026.Preferred Qualifications:Strong background in data structures and algorithms.Strong coding and problem solving skills.Familiar with distributed systems and/or databasesFluent with at least one programming languageOur Compensation And Benefits (for United States Residents Only)In accordance with various state laws, the range provided is a reasonable estimate of the base pay for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.Base Pay Range:$9,600—$11,500 USDMoloco Thrive: Benefits and Well-Being:We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. For an overview of our global benefits, click here.Moloco ValuesLead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. Additional Resources: Moloco Company Blog Moloco LeadershipMoloco Newsroom Equal Opportunity: Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression, and gender identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.Candidate Privacy Notice:Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.",Internship,Machine Learning Engineer Intern
+45,2025-04-07,Brooklyn,NY,Etsy,http://www.etsy.com,"Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. Etsy Inc. employees – whether a team member of Etsy, Reverb, or Depop – tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
+
+Founded in 2005, Etsy is headquartered in Brooklyn, NY with additional offices in Dublin and Mexico City. As of December 31, 2023, our marketplaces connect 9 million active sellers – including 7 million on Etsy.com, 80% of whom are women – and 96 million active buyers in nearly every country in the world. In 2023, we facilitated over $13 billion in transactions.","Company DescriptionEtsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.Salary Range$153,000.00 - $199,000.00What’s the role?Etsy is looking for a Machine Learning Engineer to join our Growth team. This team focuses on improving the buyer experience and increasing the number of visits that turn into purchases (aka driving conversion!). You'll help us build systems and tools that personalize the shopping journey, ensuring buyers find relevant information at the right time, ultimately helping them discover the perfect handmade or vintage item.We’re building a new machine learning team to support our product engineering squads, where you’ll play a key role in shaping how we understand our buyers and tailor their experiences. You'll work hands-on with a cross-disciplinary team to deliver robust, scalable production models and tools that will be A/B tested live on Etsy.com. Staying at the forefront of ML research, you’ll bring its best ideas to life for millions of Etsy shoppers.Does using the latest machine learning techniques to help people find the perfect item sound exciting to you? If so, we’d love to hear from you!This is a full-time position reporting to the Senior Engineering Manager, Growth. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here.What’s this team like at Etsy?Historically, our full-stack engineers have relied on enablement teams for features requiring machine learning solutions. With this new squad, you and four teammates will directly support four product squads (spanning web and mobile) to apply machine learning techniques that align with our broader goal of increasing sales.Here’s a glimpse of the problems you’ll help solve:Increase personalized engagement: use machine learning to identify the most effective moments and methods to engage buyers, tailoring their journey to inspire confidence and increase the likelihood of a purchase.Leverage generative AI to differentiate the experience: Use the latest developments in LLMs to enhance the customer experience across buyer touchpoints, making the shopping journey more intuitive and efficient.Build scalable and modular systems across our mobile app and web platforms, ensuring seamless integration and event logging.This team plays a critical role in shaping how buyers interact with Etsy, helping them discover what they love while driving meaningful business outcomes.What does the day-to-day look like?Collaborate in a cross-functional team to prioritize and execute projects that align with our product goals.Leverage experimentation and data: Use insights from previous experiments and research to ideate and implement efficient ML solutions.Partner closely with ML engineers, full-stack engineers, applied scientists, and product managers to develop and test large-scale experiments.Optimize ML models to meet latency SLAs at Etsy’s scale and launch live A/B tests to validate hypotheses.Build, deploy, test, and maintain scalable ML models by applying cutting-edge research and industry practices.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.Qualities that will help you thrive in this role are:You have experience developing impactful solutions to machine learning & NLP problems involving some or all of the following parts of the pipeline: data extraction, developing and training machine learning models, and working the new model into production applications.You have experience building scalable solutions taking into account localization specific needs to cater to global customer needs. You have strong engineering and coding skills, with the ability to write high quality production code. Proficiency in Python, Scala, Java, PHP and/or other equivalent languages. You have experience working with machine learning frameworks such as scikit-learn, PyTorch, TensorFlow/TFX and data engineering tools like Spark, Kubeflow or Airflow. In this role, you will focus on using these frameworks to build end-to-end production systems. You are a mindful, empathetic, and communicative member of your team.Continuous and recent experience of pushing production level Machine Learning code. You are product-minded and passionate about leveraging ML to enhance user experiences.Are an analytical thinker and understand how to wield data to make informed decisions about your work.An M.S. in Computer Science or related engineering fields, or 3+ years of practical machine learning experience interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.Additional InformationWhat's NextIf you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.Our PromiseAt Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.",Entry level,"Machine Learning Engineer II, Growth"
+46,2025-03-31,San Jose,CA,Cisco,http://www.cisco.com,"Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience.  With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. ","The application window is expected to close on: April 14, 2025.Meet the TeamCisco Webex is the world's #1 business collaboration and customer engagement platform. It is used across all industries in the world being used to support governments, business, education, and more, including use by 85% of Fortune 500 business.The workplace of the future will be powered by AI, and we, Collaboration AI, is the team responsible for building AI/ML intelligent experiences within Cisco’s Webex portfolio. The team is made up of multiple major AI fronts to enrich the collaboration use cases. This, in the order of processing pipeline, includes audio codec technologies, automatic speech recognition (ASR), text-to-speech (TTS), natural language processing (NLP) using and training LLMs and beyond, and gen-AI evaluation methodologies, both metric-based and subjective testing. In addition, videos are empowered via computer vision (CV) and additional contextual information by employee graphs, and much more.We aim to build the next-generation AI solutions in collaboration software, devices, and APIs - from digitizing the in-meeting experience, enhancing distributed team efficiency and improving all aspects of people connection.What You’ll DoAs a Senior Machine Learning Engineer on the Collaboration AI team, you will innovate NLP/LLM solutions for Webex products.You are expected to be a main contributor in our AI technology space and bridge the gap between the fast evolving open-source AI landscape and the Webex user experience. You'll drive technological advancement while bridging cutting-edge AI developments with practical user experiences. Your responsibility will include, but not limited to, the following:Explore and implement next-gen LLM technologies, focusing on retrieval-augmented generation (RAG), AI agents, and agentic workflows. Fast prototype innovative concepts and create viable paths to production. Conduct applied ML research and follow the systematic methodology: Establish benchmarking methods, evaluate against baselines, perform ablation studies, and deliver actionable recommendations. Balance technical trade-offs to determine optimal production solutionsCollaborate with system engineers, product managers, and client teams to drive productizationLevel up the team's AI/ML savviness as an AI knowledge catalyst. Who You’ll Work WithYou’ll join a small, high-caliber team of ML specialists, large scale systems pros, NLP, Speech, and CV practitioners and researchers, product gurus, customer artiste, and world-class designers who are all low ego and humble, and passionate about the future brought by AI. We adapt quickly, continuously improve, and deliver high-impact results. We’re not only aiming to build AI applications; we strive to build the best applications of AI the world has ever seen.Many of our engineers have founded their own startups prior to forming Collaboration AI, and they bring a wide and diverse set of industry experience and expertise with them. We draw on this well of experiences every day as we collaborate on our own product, tech stack, and go to market strategy. We're highly collaborative, committed to building great things, and consider it a privilege to learn from each other every day.Minimum Requirements M.S. or Ph.D. in Computer Science, Mathematics, or a related field.  5 + years of experience with Natural Language Processing  2+ years of experience implementing LLM technologies, systems, and applications  Proficiency with deep learning frameworks (e.g., PyTorch, JAX, Keras, TensorFlow), ML ecosystems (e.g., Hugging Face) and production Python programming skills Preferred RequirementsProven experience deploying NLP/LLM solutions in production environmentsStrong judgment to assess practical value versus industry hypeDemonstrated persistence in problem-solving complex challengesDeep intellectual curiosity in emerging AI technologies Engineering mentality at heartResearch contributions in NLP (publications, patents, presentations) are a plus#WeAreCisco#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.",Not Applicable,"Senior Machine Learning Engineer, NLP"
+47,2024-11-13,,,"Paradyme, a CATHEXIS Company",,,"OverviewParadyme, a CATHEXIS Company is a rapidly growing government technology leader that puts service first, for its customers, its team and the communities it supports. We harness DevSecOps and Agile development processes to deliver exceptional results for digital transformations. With headquarters office in Tysons Corner, VA, our award-winning culture sets it apart through its team’s deep commitment to service and collaboration with its customers, each other and the community. Learn more at www.paradyme.us .ResponsibilitiesParadyme, a CATHEXIS Company is hiring a Data Scientist /ML Engineer to support mission critical programs.DutiesThe Data Scientist /ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide customers with the information they need to make proper decisions and enable their digital transformation. Duties include: Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization.  Collaborating with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use new data elements.  Driving adoption and scalability of Generative AI and Deep Learning systems within products. Qualifications Masters degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields or Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields with one year of relevant work experience.  Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning).  Strong mathematical background (linear algebra, calculus, probability, and statistics).  Proficiency in Python and objected-oriented programming, e.g. JavaScript  Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc.  Ability to drive a project and work both independently and in a cross-functional team.  Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment.  Excellent verbal and written communication. Preferred Qualifications Experience with scalable ML (MapReduce, Spark).  Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning.  Experience with reinforcement learning.  A portfolio of projects (GitHub, papers, etc.). California Pay Range$123,000 — $185,000 USDPhysical Requirements: These are the essential physical requirements needed to successfully perform the job.Sedentary work.Requires sitting up to 8 hours per day.May require lifting up to 5 pounds unassisted.Fine repetitive motor skills with hands, wrists, and fingers in coordination with eyes.Hearing, speaking, and vision: Adequate to perform job duties and communicate in person, via video, and telephone. Includes reading information from printed sources and computer screens.Other: Work may be performed in an office environment, which may involve frequent contact with staff and the public. Work may be stressful at times. EEO Statement Paradyme, a CATHEXIS Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact HR@paradyme.us",Entry level,Data Scientist / ML Engineer
+48,2025-03-21,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.Our TeamThe Ads Measurement & Reporting Engineering squad builds systems and integrations that enable advertisers on Netflix to quantify campaign outcomes. Leveraging a blend of Netflix innovations and both first-party and third-party solutions, we deliver ads that respect the viewing experience while driving impactful results for advertisers in a way that preserves user privacy. Our tools empower advertisers to effectively measure and analyze these outcomes.Our team is new, yet we have enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the rapidly growing Connected TV advertising space, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.Skills & Experience We’re SeekingStrong experience building integrations with data clean rooms to support multi-party data sharing for ads use-cases, especially those supporting audience onboarding, targeting, measurement, etc.Strong understanding of GDPR, CCPA, differential privacy, and data governance best practices.Familiarity with digital advertising, adtech/martech ecosystems, and regulatory landscape.Worked closely with ad operations to enable campaign setup, measurement, targeting, reporting, and advertiser needs.Technical ExpertiseProficiency in SQL, Python, or Spark for querying and analyzing large datasets.Experience with data pipelines, ETL, and cloud platforms (AWS, GCP, Azure).Understanding of privacy-preserving techniques (e.g., encryption, federated learning, synthetic data).Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.Ability to work cross-functionally with engineering, legal, and marketing teams.Experience working with advertisers, publishers, or clean room technology providers.Experience with audience activation or measurement, and privacy-safe data collaboration.Nice To HavesContributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, working group etc.Experience working in the CTV space and knowledge of its unique constraintsOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.Netflix is a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Software Engineer 5, Data Clean Room"
+49,2023-11-29,,,Ritual,https://ritual.net,"Ritual is an open, sovereign execution layer for AI. Seamlessly integrate AI into your app or protocol on any chain, enabling you to fine-tune, monetize, and perform inference on models with cryptographic schemes.","About RitualRitual is building a sovereign, execution layer for AI, with our private testnet already live and running. The Ritual chain is the first blockchain custom-built to support AI-native operations, designed from the ground up to enable a new class of applications at the intersection of crypto and AI. Our first product, Infernet, is pioneering new ground as the first solution to enable developers to access AI models both on-chain via smart contracts and off-chain, demonstrating our commitment to bridging these transformative technologies.About The RoleWe are looking for a talented and motivated Machine Learning Product Engineer to join our team. In this role, you will work on a variety of projects related to applied machine learning, including working with the product team on automating Data ETL pipelines, deploying machine learning models, and shipping customer-facing products.Scale up model inference and running predictions at scale on cutting-edge modelsWork end to end to connect ML models to human interfaces (e.g. APIs, browsers, and applications) Designing and implementing large-scale data and ML pipelines through a full end-to-end product development lifecycle Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations teammates to create cutting-edge products About YouExperience as a software engineerExperience building and serving machine learning modelsFamiliarity with Python and related ML frameworks such as PyTorch, Tensorflow, Jax, and other open-source stacks such as HuggingFaceAbility to reason through machine learning system tradeoffs A high level of end-to-end ownership and self-directionExtrasFamiliarity with basic machine learning system stacks e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etcFamiliarity with DataOps, MLOps, and ML orchestration pipelines Understanding of modern ML architectures and intuition for inference performance tradeoffsExperience or interest in working on open-source ML productsInterest in building tech aligned with user privacy, computational integrity, and/or censorship resistanceExperience at fast-growing companies or startupsWhy join usJoin a passionate group of engineers, researchers, and operators on a mission to build the next generation of AI infrastructure Highly competitive compensation package, including annual discretionary bonus & optimized tax structure compared to the vast majority of web3 startupsTop 1% of benefits across the web3 startup space100% of premiums covered on highest quality healthcare Aggressive company 401k matchFully remote and/or hybrid, up to you!Participate in virtual and in-person eventsMuch much more!",Entry level,Machine Learning Engineer
+50,2025-03-12,Bethesda,MD,Lockheed Martin,https://www.lockheedmartin.com,"The world relies on what we do. 
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+Headquartered in Bethesda, Maryland, with offices across the U.S. and around the globe, our team delivers solutions that strengthen national security, shape industries and push engineering  and technology to new levels. We collaborate to win. We put our customers first. And we perform with excellence.
+
+The best careers are built at Lockheed Martin. Join us.","Basic Qualifications Bachelor’s Degree in Engineering, Computer Science, or other related discipline Experience with large dataset management, exploration, visualization, and analysis Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn, Keras, etc) Experience with Python and multiple libraries (NumPy, SciPy, Pandas, etc.) Basic knowledge of training and analysis steps in a modern MLOps pipeline including labeling, local and global explainability, model export and serialization, conformance testing, deployment, and monitoring Familiarity with radar systems engineering, radar track processing, and general digital signal processing Ability to obtain a Secret government security clearanceJob Code/TitleE9852:A/AI Mch Learn EngnrJob DescriptionThe Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence and machine learning to support the Applied AI team and product portfolio, focusing on a broad range of projects across the LAIC. The team is focused on exploiting small, innovative and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise and leveraging machine learning operations paradigms to provide continuous maintenance for deployed products.The selected candidate for this role will focus on the monitoring and maintenance of fielded AI capabilities and on the development of new capabilities to enhance ML monitoring and continuous update processes for deployed systems. Activities will span analysis of customer data, ML model performance assessments, ML model updates, & new capability development to address evolving operational requirements.Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills.The selected candidate is required to work at major Lockheed Martin facilities that support relevant customer platforms including LM Moorestown, Valley Forge, Colorado, and Orlando between 50% and full time on site depending on mission needs. Off hours work is occasionally required to meet mission requirements to support updates to and real time monitoring of customer mission systems. Flexible hours are available outside these requirements.What’s In It For YouFrom onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here.Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.Must be a US citizen.#LMLAICDesired Skills Master’s Degree in Engineering, Computer Science, or other related discipline Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD] Familiarity interfacing with databases (SQL, MongoDB, etc.) Experience with modern Computer Vision Experience with C++, Java, GO, and other compiled languages Experience developing applications on Linux Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.) Familiarity with high-performance computingOther Important InformationBy applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Ability to work remotelyPart-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.Select the Telework classification for this positionEmployee will telework < 50%Ability to TelecommutePart time telecommutingShiftFirstWork Schedule InformationLockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.Work Schedule4x10 hour day, 3 days off per weekSecurity ClearanceNoneLMCareers Business UnitENTERPRISE BUSINESS SERVICESProgramLAICDepartment50143:Artificial IntelligenceJob ClassArtificial IntelligenceJob CategoryExperienced ProfessionalCity, StateKing of Prussia-PA, Littleton-CO, Moorestown-NJ, Orlando-FLCityKing of Prussia, Littleton, Moorestown, OrlandoZip08057, 19406, 32825, 80127VirtualnoRelocation/Housing Stipend AvailablePossibleReq TypeFull-TimeDirect/IndirectDirect Join us at , where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.As a leading technology innovation company, ’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.EEOLockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.National Pay StatementPay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $86,100 - $151,800. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.This position is incentive plan eligible.Premium Pay StatementPay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $99,000 - $171,580. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.This position is incentive plan eligible.",Entry level,AI / Machine Learning Engineer
+51,2025-03-26,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize , build, and scale content. It’s a natural extension of the technology Adobe has produced over the past 40 years.At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models and the associated prompt engine. This is an opportunity to reach millions of creatives, helping them recreate the way they work.What You Will Do Develop and optimize machine learning solutions with cutting-edge architectures that impact millions of users across Adobe’s products.  Enhance Firefly’s inferencing pipeline to power generative AI features across multiple platforms, including Firefly Web, Photoshop, Illustrator, Express, and Stock.  Design GPU-optimized, efficient model pipelines that serve diverse modalities such as images, vectors, and 3D assets.  Ensure scalability and reliability of Firefly’s cloud services, incorporating observability, logging, and tracing to enable rapid issue detection and resolution.  Develop key business logic for Firefly services, including usage metering, entitlement checks, quota management, and upsell workflows. What You’ll Need To Succeed PhD or Master’s in Computer Science , Computer Engineering, Computer Vision, Robotics, or a related field—or equivalent experience.  3+ years of hands-on experience developing production-grade machine learning models using PyTorch and Python.  Proven expertise in GPU-intensive ML workloads , including optimization, scaling, and deployment in production environments.  Strong knowledge of model serving and orchestration , including GPU resource management for scalable ML systems.  Deep understanding of Visual Foundation Models (e.g., Transformers, Diffusion) and Multimodal Language Models (e.g., Text-to-Image, Image-to-Text, Text-to-Video), including evaluation methodologies and productization challenges.  Excellent problem-solving skills , with the ability to analyze complex issues and drive solutions with a data-driven approach.  Strong collaboration and communication skills , with a proven ability to work in cross-functional teams. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status.#FireflyGenAIOur compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,"Machine Learning Engineer, Generative AI"
+52,2025-04-09,Washington,DC,Sayari,http://www.sayari.com,"Sayari provides global corporate transparency and supply chain risk identification for government and industry. Its commercial risk intelligence software harvests comprehensive corporate and trade data from more than 250 jurisdictions worldwide and surfaces previously hidden risk insights in an intuitive network analysis platform.
+
+Since its founding in 2015, Sayari has earned the trust of top financial institutions, Fortune 100 corporations, and government agencies, securing a $40M Series C in 2021. Sayari is headquartered in Washington, D.C., and its solutions are used by thousands of frontline analysts in 35 countries. ","About Sayari: Sayari is the counterparty and supply chain risk intelligence provider trusted by government agencies, multinational corporations, and financial institutions. Its intuitive network analysis platform surfaces hidden risk through integrated corporate ownership, supply chain, trade transaction and risk intelligence data from over 250 jurisdictions. Sayari is headquartered in Washington, D.C., and its solutions are used by thousands of frontline analysts in over 35 countries.Our company culture is defined by a dedication to our mission of using open data to enhance visibility into global commercial and financial networks, a passion for finding novel approaches to complex problems, and an understanding that diverse perspectives create optimal outcomes. We embrace cross-team collaboration, encourage training and learning opportunities, and reward initiative and innovation. If you like working with supportive, high-performing, and curious teams, Sayari is the place for you.Internship Description:Sayari is seeking a Machine Learning Engineer Intern to join our growing Machine Learning team. In this role, you will work on developing and enhancing machine learning models that power our risk intelligence platform. This internship offers hands-on experience with real-world data on production machine learning systems at scale. You will work closely with our Data and Product teams to build, evaluate, and release ML models and features. Your contributions will directly impact Sayari's mission of enhancing visibility into global commercial and trade networks.This is a remote paid internship with work expectations being between 20-30 hours a week.Job Responsibilities:Develop and improve machine learning models for trade classification, entity classification, and entity resolutionImplement data preprocessing pipelines and feature engineering techniquesEvaluate model performance using appropriate metrics and validation techniquesCollaborate with data engineers to integrate ML models into production systemsResearch and experiment with new machine learning approaches to solve complex problemsSkills & Experience:Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or related technical fieldStrong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learnUnderstanding of fundamental machine learning concepts and algorithmsExperience with data manipulation libraries (pandas, NumPy) and SQLStrong analytical and problem-solving skills with excellent communication abilitiesPreferred Qualifications: Experience with distributed computing frameworks like Apache Spark Familiarity with MLOps tools and practices (MLflow, model versioning, CI/CD for ML) Knowledge of natural language processing techniques and graph algorithmsExperience in performance optimization for machine learning models and pipelinesExperience working with LLM assistants and toolsWhat We Offer:  A collaborative and positive culture - your team will be as smart and driven as you Limitless growth and learning opportunities A strong commitment to diversity, equity, and inclusion Team building events & opportunitiesSayari is an equal opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply.",Not Applicable,Machine Learning Engineer Intern
+53,2025-04-04,"Provo, UT and Seattle, WA",,Qualtrics,https://www.qualtrics.com/,"At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 19,000 clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. That’s where we come in. 
+
+Founded in 2002, our company has spent over 21 years working with the industries that impact you every day. From retail to government to healthcare, we’ve been on a mission to bring humanity, connection, and empathy back to business. It’s a mission that thousands of Qualtricians across the globe think is work worth doing.
+
+Mission: At Qualtrics, our mission is to build technology that closes experience gaps.","At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.Machine Learning Engineer IWhy We Have This RoleWe are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!How You’ll Find SuccessWork in a supportive environment enables individual growth and achievement of team goalsCollaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customersDevelop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning modelsImplement new features and optimize existing ones to delight our customersCollaborate cross-functionally with product managers, data scientists, and other engineering teams to define, develop, and deploy new machine learning models that translate complex data into actionable insights for our customers.How You’ll GrowWork in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing businessBuild and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.Things You’ll DoWork closely with, and incorporate feedback from other specialists, tech-ops, and product managersLead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacityAttend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customersFinding quick ways to prototype and test possible solutions to large problemsWhat We’re Looking For On Your ResumeBachelor’s degree in Computer Science or related fields.0-2 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.Strong Computer Science fundamentals in algorithm design, complexity analysis, and performanceExperience with data preparation and manipulation for high quality model resultsExperience building and representing data models. Single and Mutli factExperience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented designExperience with applied machine learning models and large-scale ML systemsWhat You Should Know About This TeamThe Insights Generation team strives to create the highest-quality and most accurate insights for Qualtrics customers. We leverage all methodologies and look to build/consume new data assets that will improve insight quality to a class-leading level. We also work heavily with text and omnichannel data to incorporate human feedback into our insights.Our engineers collaborate closely with platform teams to ensure our products are tightly integrated and consistent with core platform behavior while having the flexibility to choose our architecture and the independence to quickly deliver on our business vision. The team’s focus on class-leading insights and customer value offers a fantastic opportunity to drive your career development and build a strong foundational understanding across Qualtrics systems.Our Team’s Favorite Perks And Benefits$1800 Experience bonus to be used for an “Experience” of your choosingUnlimited Sick DaysWe spend 10% of our time on individual engineering growth activities every quarterAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection ActQualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.Washington State Annual Pay Transparency Range$105,500—$199,500 USD",Entry level,Machine Learning Engineer I - Data & Insights
+54,2025-03-24,Mountain View,California,Intuit,https://www.intuit.com/,"Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
+
+We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations. ","OverviewIn this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...What you'll bringModel Prototyping: The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models.Model Productionalization: Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models.Model Enhancement: Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose.Machine Learning Tools: The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling.QualificationsBS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).How you will leadDiscover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $132,000 – 178,500, Bay Area California $136,00 – 184,000, Southern California $122,500 – 165,500 . This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.",Associate,Machine Learning Engineer 2
+55,2025-03-28,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snapchat is an app that empowers people to express themselves, live in the moment, learn about the world, and have fun together. It's the easiest and fastest way to communicate the full range of human emotions with your friends without pressure to be popular, pretty, or perfect.Snap’s camera supports real friendships through visual communication, self expression and storytelling. Moving forward, our camera will play a transformative role in how people experience the world around them, combining what they see in the real world, with all that’s available to them in the digital world.We're looking for a Machine Learning Engineer to join our Generative ML team!What you’ll do:Develop innovative machine learning technology and products that serve millions of SnapchattersWork on state of the art GenAI pipelines for image and video generationDeliver generative machine learning experiences on deviceBuild cutting-edge augmented reality experiences using generative and diffusion modelsPartner with cross-functional Snap teams to explore and prototype new productsKnowledge, Skills & Abilities:A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly Knowledge of mathematics and deep learning foundations Desire to solve open ambiguous problemsDesire to grow professionally, learn and help othersAbility to effectively collaborate with internal teams and external partnersAbility to work independentlyMinimum Qualifications:Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experienceResearch or engineering experience in one or more of the following: generative models, efficient models, segmentation, object detection, classification, tracking, or other related applications of machine learning Experience with the major deep learning frameworks: PyTorch or TensorFlowStrong track record of software development in Python or C++Preferred Qualifications:Master's degree or PhD in a related technical field Experience developing real-time software for mobile applications Knowledge of GenAI, especially image and video generation foundationsKnowledge of efficient model foundationsTrack record of successful projects in GenAI fieldExamples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc. If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $118,000-$176,000 annually.Zone B:The base salary range for this position is $112,000-$167,000 annually.Zone C:The base salary range for this position is $100,000-$150,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Generative AI"
+56,2024-12-22,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+57,2025-01-30,Irvine,California,Turion Space,http://www.turionspace.com,"Unleashing Mankind's Galactic Destiny
+*we build DROIDs and STARFIRE
+
+https://x.com/TurionSpace
+https://www.youtube.com/@TURIONSPACE","Department: PayloadLocation: Irvine, CaliforniaCompensation: $70,000 - $90,000 / yearDescriptionIntroduction -The Machine Learning Team concentrates on developing and implementing novel machine learning algorithms for solving trailblazing problems in the developing new space economy. These include but are not limited to, Computer Vision, Edge Processing, Data Fusion, Non-linear Dynamical Systems, and probabilistic statistical modeling. As a Machine Learning Engineer Intern, you will perform novel research in areas such as data analysis, machine learning, astrodynamics, and physics modeling. Expected start date: June 2025Key ResponsibilitiesInvestigate a novel research area pertaining to Turion's mission setDesign, develop, and validate algorithmic solutions which are highly reliable and scalableResearch and identify useful algorithms for challenging space-based applicationsOptimize the runtime performance of existing implementations Contribute to team discussions, providing insight and feedback to collectively drive innovation across several related projectsQualificationsRequiredPursuing Bachelor's or Master's degree in Data Science, Machine Learning, or related technical fieldStrong programming skills in PythonStrong experience with one or more of the following: Pytorch, Tensorflow, JaxStrong understanding of linear algebra, calculus, statistics, and machine learningExperience in developing advanced machine learning applicationsExperience with data analysis, data engineering, and data exploration techniquesExcellent problem-solving, critical thinking skills, and strong engineering fundamentalsBe able to effectively communicate complex topics and algorithms related to your workStrong oral and written communication skillsExperience with Linux and shell command-line toolsMust be able to work extended hours and weekends as needed on rare occasionsPreferredStrong programming skills in C++Experience working with machine learning in cloud environments (AWS, GCP, Azure,...)Experience with one or more of the following: computer vision, uncertainty quantification, signal processing, computational physics, time series analysisITAR RequirementsThis position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.",Internship,Machine Learning Engineer Intern (Summer 2025)
+58,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are also exploring how to leverage LLM to further enhance TikTok users search experience, potentially sharping the search engine for the next generation. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding from the perspective of the video itself and social network, improve authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (ML Engineer - Data-Search -TikTok.US - San Jose) - 2025 Start (BS/MS)
+59,2025-03-12,Fort Lauderdale,FL,INSPYR Solutions,https://www.inspyrsolutions.com,"Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com","Location: Cupertino, CA 95014Duration: 1- year contract with long term extensions   Machine Learning Engineer   ABOUT THIS FEATURED OPPORTUNITY    The Machine Learning Engineer specializing in multi-language LLMs and Generative AI will join the Channel Sales and Operations team to help scale content translation efforts. This role focuses on machine translation across various formats—PDFs, HTML, Keynotes, and other enterprise training materials—enabling seamless multilingual support for global sales training and enterprise content.   THE OPPORTUNITY FOR YOU Work in a team of machine learning engineers of different specialization to prototype and ship world class algorithms that pushes the state of the art.Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.Turn prototypes into automated pipelines and deploying them to production, deciding when to use out-of-the-box solutions vs. building custom solutions or a hybrid approach.Perform ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results.Partner closely with software engineers to implement these models into high-performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience.Actively engage in all aspects of model development, from ideation, experimentation, triaging to deployment.Communicate results/reports with stakeholders.Maintain expertise in the latest advancements in AI technology and partner with your team members to prepare presentations, papers, and patents for your inventions  KEY SUCCESS FACTORS  2+ years of experience in  Machine Translation, with hands-on experience training models, preferably transformer models Expertise in  multi-language LLMs, including API-based implementation and interaction i.e. ChatGPT, Gemini, etc. Strong knowledge of  LLM programming—prompting, fine-tuning, and model evaluation Experience with LLM communication and interaction frameworks, such as  LangChainProficiency in  Python development , particularly with  FastAPI  for building scalable applications  Our benefits package includes:Comprehensive medical benefitsCompetitive pay401(k) retirement plan...and much more!  About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.   INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities",Mid-Senior level,Machine Learning Engineer
+60,2025-03-30,,,Samsung Semiconductor,https://semiconductor.samsung.com/,"Established in 1974 as a subsidiary of Samsung Electronics, we’re proud to be recognized as one of the leading chip manufacturers in the world.
+Using our knowledge in semiconductor technology, our ambition is to spark the imagination of device manufacturers with top-of-the-line building blocks and, through that, enrich the lives of people around the world with transformative solutions.","Please NoteTo provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.Advancing the World’s Technology TogetherOur technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.What You’ll Learn Project Overview: The primary objective of this project is to develop novel vision-language models for text generation. The project aims to leverage the power of multimodal and large vision-language models to effectively combine visual and textual information, resulting in text documents that meet the legal and technical requirements.Skills You’ll Learn:Overall, this project will provide an excellent opportunity for the intern to gain practical experience in machine learning research, problem-solving, collaboration, and, all while working on a challenging and meaningful project.The intern will gain hands-on experience in developing machine learning models, specifically vision-language models. They will learn about various techniques in natural language processing, computer vision, and multimodal modeling, and how to apply them to solve real-world problems.The intern will work with large text and image datasets and learn how to preprocess and analyze them. They will also learn how to evaluate the performance of machine learning models using appropriate metrics and analyze the results to identify areas for improvement.The intern will be exposed to complex problems in the field of text generation and learn how to approach them systematically. They will need to think critically, analyze data, and experiment with different approaches to find the most effective solution.At the end of the project, the intern will need to prepare a comprehensive report detailing their research, findings, and recommendations. They will also need to present their work to their supervisor and other team members, which will help them develop skills in effective communication and presentation.What You’ll DoThe Intellectual Property (IP) Group is seeking a highly-motivated and exceptional Research Intern to assist in developing innovative systems for natural language generation. The intern will collaborate with a team on research, experimentation, analysis, and implementation of large vision language models and multimodal models for text generation. The intern will contribute to designing novel algorithms and publishing research findings in leading machine learning conferences.Location: Hybrid, working onsite at our San Jose office/headquarters 3 days per week with the flexibility to work remotely the remainder of your timeReports to: Sr. Manager, Semi. Device DevelopmentConduct scientific research to design and develop innovative machine learning algorithms in the field of natural language processing for language modeling and multimodal text generation.Collaborate with other researchers in developing machine learning algorithms, providing input and feedback to identify best possible solutions.Communicate with the domain experts to gain a deep understanding of the problem space, ensuring that the research is aligned with the needs of the industry and stakeholders.Utilize various tools and resources, including machine learning frameworks such as TensorFlow, PyTorch, and Keras, and models from the HuggingFace to fine-tune and train the models.Prepare presentations and technical reports to showcase the experimental results and findings, effectively communicating the research outcomes to both technical and non-technical audiences.Summarize and publish research findings in top-tier conference papers and/or patent submissions, contributing to the body of knowledge in the field.Demonstrate the ability to think creatively and work effectively both as part of a team and as an individual contributor, effectively managing time and resources to meet project deadlines.Show a strong willingness to learn new algorithms, application areas, and tools, continuously expanding their knowledge and skills in the field of machine learning.Complete other responsibilities as assigned, ensuring that the overall goals of the project are met and any additional tasks are carried out to the highest standard.This internship provides an excellent opportunity to gain practical experience in machine learning research, develop valuable skills, and make a meaningful impact in the field.What You BringPreferably pursuing a Ph.D. in machine learning/Ph.D. student in Computer Science with a strong background in machine learning, specifically deep learning, neural networks, and neural language modelsMust have at least one academic quarter or semester remainingDemonstrated strong research skills through a publication recordBackground in natural language processing, computer vision, and text generation algorithmsExperience with machine learning frameworks such as TensorFlow, Keras, or PyTorchStrong background in machine learning, with a focus on deep learning and transformer networksFamiliarity with natural language processing, text generation, and transformer-based modelsKnowledge of computer vision and multimodal modelsStrong analytical and problem-solving skills, with attention to detailProficient programming skills in PythonExcellent communication and teamwork abilitiesYou’re inclusive, adapting your style to the situation and diverse global norms of our peopleAn avid learner, you approach challenges with curiosity and resilience, seeking data to help build understandingYou’re collaborative, building relationships, humbly offering support and openly welcoming approachesInnovative and creative, you proactively explore new ideas and adapt quickly to changeWhat We OfferThe pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training.This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.Relocation Support Live 50+ miles away from your new office? No worries! We'll provide a stipend to help support your move.Housing Stipend Signing a lease on a new place for your summer internship? We'll help you pay your way with a monthly stipend.Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are.Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.Hourly Base Pay Rate$28—$62 USDEqual Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.Recruiting Agency PolicyWe do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.Covid-19 PolicyTo help keep our employees, customers, and communities safe, we've developed guidelines for our team. Currently, we encourage vaccination for all employees and may require it depending on job functions (e.g., traveling for business, meeting with customers). While visiting our offices or attending team events, we ask employees to complete a daily health questionnaire and complete a weekly COVID test. Our COVID policies are subject to change depending on public health, regulatory, and business circumstances.Applicant Privacy Policyhttps://semiconductor.samsung.com/us/careers/privacy",Internship,"Intern, Machine Learning Engineer - VLMs"
+61,2025-03-17,Bentonville,Arkansas,Walmart Global Tech,http://tech.walmart.com,"Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.1 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.","What you'll do...As a company, Walmart primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. The Display Ads ML team builds services that enable advertisers to efficiently capture and predict user engagement while minimizing their costs. The team leverages machine learning models to incorporate advertisers’ goals in auction ranking, allowing them to maximize installs, key conversions, or return on ad spend.As the primary owners of the engagement prediction and bid recommendation systems, the team is responsible for a central part of the ads delivery system that generates bid recommendation considering advertiser objectives and user engagement scores. Given the centrality of this system, the team also regularly conducts highly rigorous and controlled experiments to measure the impact of improvements to these systems. Some of the project highlights include maximizing conversions campaign optimization, which uses real-time data to meet advertisers’ key objectives.The Software Engineer III, Machine Learning Engineer will work closely with technical leaders to build new advertiser optimization products that significantly increase the efficiency and ROI for the advertisers.You will be responsible for your quality and technical approach within the team; partner with other team members in direction setting, planning, and overseeing engineering designs and executions; establish and contribute to the group’s culture and processes.You will collaborate with cross-functional engineering, product, and marketing teams to ensure that our customers’ voices are represented in your work. You will help design, conduct, and analyze experiments to quantify the impact of the systems that you build. We are seeking an engineer to join a team building state-of-the-art bidding optimization and user prediction systems. As a member of this team, you will help us uplevel the capabilities of Walmart Display Ads platform through innovative optimization products that enhance advertiser value.About Team:Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.What you'll do:Execute a roadmap for engagement and bid recommendation modeling, balancing innovative modeling approaches with business objectives. Build Walmart-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.Support the Model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Think out-of-the box! What you'll bring:2+ years of contributing high-quality code to production systems that operate at scale. Participate the design, development and implementation of complex machine learning solutions/algorithms that drive business results leveraging Python, Nodejs, LLM, NLP Models, Chat GPT or similar platforms, scikit-learn, TensorFlow/Pytorch, Cassandra, BQ, RedisSolve complex problems with multilayered data sets, multi batch inferencing. Upholding ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions.Stay up to date with the latest AI/ML technologies and trend - acting as a thought leader for ML Engineering within the organization and in the broader technical community.Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.‎ ‎ You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.‎ For information about PTO, see https://one.walmart.com/notices.‎ ‎ Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.‎ Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.‎ For information about benefits and eligibility, see One.Walmart.‎ The annual salary range for this position is $117,000.00-$234,000.00‎ Additional compensation includes annual or quarterly performance bonuses.‎ Additional compensation for certain positions may also include:‎ ‎ - Stock‎ Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years’ experience in software engineering or related area.Option 2: 4 years’ experience in software engineering or related area.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Customer Service, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Masters: Computer SciencePrimary Location...680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America",Associate,Machine Learning Engineer III
+62,2025-02-12,Hopkinton,Massachusetts,Bose Professional,https://BoseProfessional.com,"Bose Professional brings unforgettable moments alive.
+ 
+It’s that moment. The one when the featured act brings everyone to their feet during the show’s encore. Or when the worship team rises to its powerful crescendo and moves the entire congregation. And it’s the key moment during a
+conference call that connects and unites a work team from around the globe.
+ 
+Pro audio is about creating incredible experiences. But these exceptional experiences don’t just happen.
+
+They need to be built, one piece at a time. That’s why we’re here.","Company Overview:Bose Professional is a leader in the professional audio industry, specializing in the design and manufacturing of cutting-edge audio solutions including loudspeakers, amplifiers, signal processing devices, controls, software, and accessories. As we continue to expand our team, we are seeking a Software Engineer Co-op, AI/ML to join us on our journey.We have organized ourselves culturally around a set of shared values. We are a team first, which means we are collaborative and support each other toward our common goals. We start everything from the outside in, starting with the customer and solving from there. We value trust, so we are a company of people who are open and direct, avoid politics, and who do what it takes to deliver on our commitments. And as we work together, we are empathetic, courteous, and fair, because we respect each other. Finally, we believe that creativity and innovation belong in all parts of the company to drive excellence in everything we do.Position Overview:Do you love great sounding music with quality that brings joy to people’s lives? Would you love to work with a team that helps develop the best sounding Digital Signal processors, amplifiers, subwoofers, and loudspeakers in the world? Bose Professional is looking for an intern with a working knowledge of software development and an interest in gaining real-world software engineering experience at an innovative and thriving high-technology company.You will work in a tight-knit team of Software Engineers to develop best-in-class professional audio software applications used to design, configure, and control Bose Professional audio amplifiers and signal processors that are used to drive our award-winning loudspeakers.   Using your programming skills, you will be creating software for our next generation software middleware that would drive best-in-class digital signal processors, amplifiers and controls. Key Responsibilities:Assist in collecting, preprocessing, and analyzing audio datasets for ML training and validationTrain, fine-tune, and evaluate machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-LearnImplement and optimize model validation techniques, including cross-validation, hyperparameter tuning, and performance metrics assessmentDevelop scripts and automation tools for training pipeline optimizationConduct error analysis to improve model robustness and generalizationCollaborate with the AI/ML team to experiment with novel architecture and techniquesDocument findings, methodologies, and results for internal and external reportingAssist in deploying and testing models in real-world scenarios, ensuring efficiency and reliabilityQualifications:The ideal candidate will be either in a Master’s program or in their Junior or Senior year of study in the 2025 calendar year with emphasis in Computer Science, Electrical Engineering or a related STEM field such as math or physicsDemonstrate an understanding of basic algorithms, data science, and design principlesExperience with frameworks/libraries like TensorFlow, PyTorch & NumPySubstantial academic project work or some industry experience in collecting, preprocessing, and analyzing datasets for ML training and validationModel tuning and model evaluation experience is desirableHave clear verbal and written communication skillsBose Professional is an equal opportunity employer and values diversity in the workplace. We encourage all qualified individuals to apply.Position/Title: Software Engineer Co-op, AI/MLLocation:Hopkinton, MA - HybridReports to: Director of Software EngineeringDepartment: EngineeringPowered by JazzHR9Pr9soePeD",Internship,"Software Engineer Co-op, AI/ML"
+63,2024-12-02,San Francisco Bay Area,,Lumino,https://www.luminolabs.ai/,Decentralized compute protocol to train and fine-tune AI models,"About LuminoAt Lumino, our mission is to unlock the power of AI for every human, and we can’t do this without having the best people in the world on the team. AI is one of the next set of technologies that will unlock vast potential of human innovation, empowering us to solve problems that were thought to be unsolvable. Lumino is a technology company that builds infrastructure which enables anyone to create AI models. We are backed by prominent VCs such as Longhash Ventures, OP Crypto, Protocol Labs, Quaker Capital, Escape Velocity, and OrangeDAO.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.About the role:We’re looking for a Machine Learning Engineer to join our team and help set the foundations of the company. You will be responsible for designing and building decentralized and distributed AI training pipelines, optimizing training for fast performance and low costs, and conducting research on cutting edge techniques for training on heterogeneous environments.You will:Design, develop, and optimize machine learning models and algorithms for various applications, including computer vision, NLP, and audio/video processing. Implement basic to advanced model architectures, starting with minimalist implementations. Collect, clean, and preprocess data to create robust training datasets, working with complex datasets to ensure high-quality inputs for model training. Train various deep learning models on different GPUs, including multi-GPU setups, and improve model performance and resource utilization by fine-tuning hyperparameters and using advanced techniques like LoRA and QLoRA quantization. Evaluate model performance using appropriate metrics such as F1 scores, and conduct experiments to improve model accuracy and robustness. Deploy machine learning models into production environments, ensuring scalability, efficiency, and reliability while managing the deployment of models on both cloud and bare-metal infrastructure. Work closely with cross-functional teams to understand business requirements and translate them into technical solutions, collaborating with data scientists and software engineers to integrate models into production systems. Monitor and maintain deployed models to ensure they continue to perform as expected, and implement processes for model retraining and updates as needed. Optimize training performance on various GPUs (e.g., V100, T4, RTX3090, A100) and assess trade-offs to minimize training time and improve infrastructure efficiency. Capture and analyze benchmarks on heterogeneous infrastructure, making performance improvements based on benchmark results. Own and manage MLOps processes, train custom Lumino models including fraud detection, build and improve internal inference systems for model evaluation, and enhance existing evaluation processes in the ML pipeline. Requirements:You have 2+ years of experience as a Data Scientist or Machine Learning EngineerYou have 1+ years in Python and ML frameworks such as PyTorch, TensorFlow, and Jax. You have experience in building, serving, and fine-tuning machine learning and large language modelsYou have strong analytical skills with the ability to navigate ML system trade-offsYou have a high degree of initiative and end-to-end project ownershipYou have strong communication and collaboration abilitiesYou have excellent problem-solving skills and ability to learn quicklyNice to haves:Contributions to open source projectsPrevious experience in a startup environmentExperience with latest Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. What we offer:Opportunity to design systems from the ground-up 🚀Fast paced environment that allows you to learn and ship quickly 🛥️Competitive salary + share of equity pool 💰Medical, dental, and vision insurance 🏥Whatever equipment you need to get the job done 💻Github Co-Pilot and ChatGPT subscription ⚡3 days week in-office with the team, 2 days a week WFH 🙂",Entry level,Machine Learning Engineer
+64,2025-04-03,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.The OpportunityWe are looking for a driven Software Engineer to join the Training Platform team under our Machine Learning Platform (MLP) org. MLP’s charter is to maximize the business impact of all ML use cases at Netflix through highly reliable and flexible ML tooling and infrastructure that supports key product functions such as personalized recommendations, studio algorithms, virtual productions, growth intelligence, and content demand modeling among others.In This Role You Will Get ToDesign and build the platform that powers large-scale machine learning model training, fine-tuning, model transformation and evaluations workflows and use cases from the entire companyCo-design and optimize the systems and models to scale up and increase the cost-effectiveness of machine learning model trainingDesign easy-to-use APIs and interfaces for experienced ML practitioners, as well as non-experts to easy access the training platformMinimum Job QualificationsExperience in ML engineering on production systems dealing with training or inference of deep learning models.Proven track record of building and operating large-scale infrastructure for machine learning use casesExperience with cloud computing providers, preferably AWSComfortable with ambiguity and working across multiple layers of the tech stack to execute on both 0-to-1 and 1-to-100 projectsAdopt and promote best practices in operations, including observability, logging, reporting, and on-call processes to ensure engineering excellence.Excellent written and verbal communication skillsComfortable working in a team with peers and partners distributed across (US) geographies & time zones.Preferred QualificationsUnderstand modern and real-world Machine Learning model development workflows and experience partnering closely with ML modeling engineersFamiliarity with cloud-based AI/ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI, etc.)Experience with large-scale distributed training and different parallelism techniques for scaling up training, such as FSDP and tensor/pipeline parallelismExpertise in the area of Generative AI, specifically when it comes to training foundation models, fine tuning them, and distilling them to smaller modelsWhat do we offer?Netflix's culture is an integral part of our success, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.Netflix has a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Software Engineer L4/L5, Training Platform, Machine Learning Platform"
+65,2025-04-05,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The Opportunity Adobe is looking for a Machine Learning Engineer intern who will apply AI and machine learning techniques at scale to help Adobe better understand, lead and optimize the experience of its customers.This is an exciting internship opportunity in Adobe FireFly’s AI/ML Platform and Data team. You will work with engineers and researchers on projects aiming toward improving the efficiency and scalability of FireFly models.All 2025 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.What You’ll DoContribute to research and advanced development that can be transferred to FireFly training/data platform. Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems. Lead and collaborate on projects across different teams. What You Need to SucceedCurrently enrolled full time and pursuing a PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2025 – June 20261+ years of experience in computer vision, natural language processing, or machine learning. Experience in Generative AI and/or agentic LLM. Proficient in Python and PyTorch. Strong analytical and quantitative problem-solving ability. Excellent communication and relationship skills. Ability to participate in a full-time internship between May-SeptemberAdobe is proud to be an  Equal Employment Opportunity  and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.  Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email  accommodations@adobe.com  or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Internship,2025 AI/ML Intern - Machine Learning Engineer
+66,2025-04-09,Wilmington,Delaware,Accroid Inc,https://accroid.com,"Accroid Inc is a nationwide employment and service provider committed to enabling individuals. We firmly believe that everything is possible when we work together, and we continuously seek out opportunities to make a positive difference in the lives of others.
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+At Accroid, doing what is right has always been a top priority for our co-workers, client partners, and communities. We foster an inclusive culture that empowers our staff to deliver their best work. We are not just a high-performing team; we are a supportive and tight-knit family. We genuinely care for one another, fostering strong relationships and upholding our culture's dedication to compassion.
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+Solutions for Your Business, Powered by People:
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+We believe that people are the driving force behind successful businesses. By harnessing the power of technology and leveraging our expertise, we help businesses unlock their full potential, streamline operations, enhance efficiency, and achieve their goals. Our dedicated consultants work hand in hand with your organization to ensure that technology seamlessly aligns with your business objectives, delivering tangible and measurable results.
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+Stay connected with Accroid Inc on LinkedIn for the latest industry insights, updates on our innovative services, and exciting opportunities to collaborate. Together, we can shape a brighter future for individuals and businesses, transforming possibilities into realities.","Bachelor’s or Master's degree in Computer Science, Machine Learning, or a related field6 years of relevant work experienceProficiency in Python and experience with machine learning frameworks (TensorFlow, PyTorch)Experience with natural language processing, machine learning, deep learning, optimization techniques, and evaluation methodologiesDemonstrated experience with LLMs (e.g. GPT, PHI) and integrating them with complex real-time data processing and low-latency systems including methods for optimizing LLM prompts and using a RAG architectureExperience with cloud platforms (AWS/GCP) for deploying and managing ML modelsExperience in handling multilingual data and building systems that support multiple languagesExperience researching new ideas, formulating creative solutions, and presenting sophisticated ideas to technical and non-technical audiences",Mid-Senior level,Machine Learning Engineer
+67,2025-03-12,,,Trovo Health,www.trovohealth.com,"Trovo Health uses an AI-powered platform backed by a multidisciplinary care team to allow health care providers to extend their capabilities seamlessly. Using specialty-specific workflow technology alongside expert care team members, providers can deliver new capabilities for patients, improve outcomes and operate more efficiently.","About UsHere at Trovo Health, we’re on a mission to help solve healthcare’s clinical capacity crisis. By combining AI-powered technology with a proprietary network of ancillary clinicians, we allow our partners to access transformative clinical capabilities.We’ve raised funding led by Oak HC/FT - backers of leading clinical technology companies such as Devoted Health, VillageMD, CareBridge, Main Street health, Maven Clinic, and more.We’re headquartered in NYC, and embrace a hybrid work culture.About The RoleWe’re looking for experienced AI/ML Engineers to join a well funded, early stage health tech startup focused on revolutionizing the provider model and improving patient outcomes with AI. As a core member of the early engineering team, you would be responsible for data ingestion and analysis, developing data/ML pipelines and contributing broadly to product development.Competitive target compensation (150-200k+ plus equity), strong benefits and a hybrid NYC location.ResponsibilitiesIngesting, structuring and analyzing a wide range of unstructured datasourcesDesigning, maintaining and orchestrating data pipelines in an AWS environment for production processing and training flowsContinuously evaluate, analyze, test and improve the quality, privacy and performance of our data systems and modelsContribute across the product, from front-end UX and product design, to API/systems architecture and core ML developmentMinimum Qualifications3+ years of experience ingesting, analyzing and structuring a wide variety of datasourcesProduction NLP or LLM experience (e.g. spacy, langchain, extensive LLM API usage)Significant experience building and maintaining data pipelines in a production environmentStrong database/SQL, python, pandas (or equivalent) experience Prior experience working in fast paced environments and tackling problems across the stack with quick iterations while maintaining a high quality bar. Strong Additional QualificationsSignificant healthcare data experienceSignificant MLE production or research experience - pytorch, scikit-learn, etc..Extensive production AWS, container and/or data orchestration experienceFullstack development experience (JS/TS/Node in particular)Demonstrated experience in similar roles in a startup or consultancyBenefits Of Working With Us IncludeDirect impact on company and cultureHybrid work environment (HQ in Union Square, NYC)Competitive Salary and EquityGenerous Health, Vision, and Dental InsuranceFlexible paid time off (unlimited vacation and sick leave)Flexible schedulesLife InsuranceShort & Long-Term DisabilityParental LeaveTrovo Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.",Not Applicable,AI/Machine Learning Engineer
+68,2025-03-31,Annapolis Junction,MD,Interclypse,https://interclypse.com,"Interclypse is a small business headquartered in Annapolis Junction, Maryland, focused on solving complex problems for customers across the US Intelligence Community and customers in the federal and state government and commercial industries since 2007. We combine world-class engineering talent with proven engineering best practices, domain expertise, and a proven agile management methodology to meet our customers' most critical business and mission objectives.  
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+The Interclypse team is on a continuous mission to have a positive transformational impact on society, community, industry, and individuals! Our team accomplishes this mission by continuously ""Doing What is Right."" ","DescriptionInterclypse is seeking Data Scientists.The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career.Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.RequirementsEducationDegree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required.Primary ResponsibilitiesEngage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.To succeed in this position; you need to be curious, creative, and tech-savvy.You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms.You must be persistent and have excellent analytical and problem-solving skills.Devise strategies for extracting semantic value from large datasets.Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions.Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.Required Skills/ExperienceExperience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora)Experience with programming in R, Python, JavaExperience with NoSQL databases ( e.g., MongoDB, Accumulo)Experience designing data models and approachesExperience working in a cloud environment ( e.g., AWS, Azure)Experience with LinuxExcellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levelsAbility to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environmentDesired Skills/ExperienceExperience with programming in TensorFlow, PyTorchExperience with Hadoop, MapReduceExperience with TableauExperience with CognosExperience with designing, implementing, and using REST APIsExperience with RDF/OWL, SPARQL, and Semantic Web technologiesExperience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plusExperience with Data catalogs and data managementAbility to help visualize the data for analysis and to display resultsWhy You Might Like This JobYou’re tired of working for a massive organization.You want to work for an established company that values your stable career.You want to work with a team who loves their job and making cool stuff.You want to be part of a team focused on making a positive impact.You want to grow your skills in management or work toward becoming an expert.You want to have the option for career mentorship, both in technology and in business.You value a company with a strong culture of growth and support.BenefitsEmployee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity.Comprehensive time off and leave programs:31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdaysParental Leave: 40 HoursBereavement Leave: 24 hours.Military Reserve Leave (up to 80 hours, see employee handbook for details).Jury Duty Leave 16 hours.Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximumHealth Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details).Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for familiesVision InsuranceDental Insurance includes orthodontics coverageLife InsuranceAccidental Death and Dismemberment InsuranceDisability: Short-term and long-term disability coverageEducational support: reimbursement up to the federal max of $5,250Company apparel: $200 for company apparel each yearSocial events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and moreInterclypse isn’t your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: ""Doing What is Right"". Apply today to see how you can join our winning team and start down the career path that’s right for you!EOE AA M/F/Vet/DisabilityInterclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate’s experience and education/training, internal peer equity, and market and business consideration.",Entry level,Data Scientist - All Levels
+69,2025-03-31,Annapolis Junction,MD,Interclypse,https://interclypse.com,"Interclypse is a small business headquartered in Annapolis Junction, Maryland, focused on solving complex problems for customers across the US Intelligence Community and customers in the federal and state government and commercial industries since 2007. We combine world-class engineering talent with proven engineering best practices, domain expertise, and a proven agile management methodology to meet our customers' most critical business and mission objectives.  
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+The Interclypse team is on a continuous mission to have a positive transformational impact on society, community, industry, and individuals! Our team accomplishes this mission by continuously ""Doing What is Right."" ","DescriptionInterclypse is seeking Data Scientists.The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career.Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.RequirementsEducationDegree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required.Primary ResponsibilitiesEngage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.To succeed in this position; you need to be curious, creative, and tech-savvy.You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms.You must be persistent and have excellent analytical and problem-solving skills.Devise strategies for extracting semantic value from large datasets.Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions.Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.Required Skills/ExperienceExperience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora)Experience with programming in R, Python, JavaExperience with NoSQL databases ( e.g., MongoDB, Accumulo)Experience designing data models and approachesExperience working in a cloud environment ( e.g., AWS, Azure)Experience with LinuxExcellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levelsAbility to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environmentDesired Skills/ExperienceExperience with programming in TensorFlow, PyTorchExperience with Hadoop, MapReduceExperience with TableauExperience with CognosExperience with designing, implementing, and using REST APIsExperience with RDF/OWL, SPARQL, and Semantic Web technologiesExperience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plusExperience with Data catalogs and data managementAbility to help visualize the data for analysis and to display resultsWhy You Might Like This JobYou’re tired of working for a massive organization.You want to work for an established company that values your stable career.You want to work with a team who loves their job and making cool stuff.You want to be part of a team focused on making a positive impact.You want to grow your skills in management or work toward becoming an expert.You want to have the option for career mentorship, both in technology and in business.You value a company with a strong culture of growth and support.BenefitsEmployee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity.Comprehensive time off and leave programs:31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdaysParental Leave: 40 HoursBereavement Leave: 24 hours.Military Reserve Leave (up to 80 hours, see employee handbook for details).Jury Duty Leave 16 hours.Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximumHealth Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details).Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for familiesVision InsuranceDental Insurance includes orthodontics coverageLife InsuranceAccidental Death and Dismemberment InsuranceDisability: Short-term and long-term disability coverageEducational support: reimbursement up to the federal max of $5,250Company apparel: $200 for company apparel each yearSocial events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and moreInterclypse isn’t your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: ""Doing What is Right"". Apply today to see how you can join our winning team and start down the career path that’s right for you!EOE AA M/F/Vet/DisabilityInterclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate’s experience and education/training, internal peer equity, and market and business consideration.",Entry level,Data Scientist - All Levels
+70,2025-04-02,San Diego,CA,Qualcomm,https://www.qualcomm.com/,Delivering intelligent computing everywhere.,"CompanyQualcomm Atheros, Inc.Job AreaEngineering Group, Engineering Group > RFIC DesignGeneral SummaryQualcomm is seeking a motivated and talented individual to join our team in Santa Clara. This role offers a unique opportunity to work on cutting-edge machine learning and data modeling projects and their hardware implementation. The ideal candidate will have a strong background in neural networks, autoencoders, decision trees, and other related techniques along with a basic understanding of their deployment on edge devices.ResponsibilitiesExplore and develop innovative modeling ideas for various datasets.Implement and optimize machine learning algorithms, including neural networks, autoencoders, and decision trees etc.Deployment of ML models on edge devices.Collaborate with cross-functional teams to understand project requirements and deliver high-quality solutions.Conduct experiments and analyze results to improve model performance.Document and present findings to the team.QualificationsMaster’s or PhD. in Computer Science, Electrical Engineering, or a related field.Strong proficiency in Python programming.Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.Experience with Generative AIKnowledge of data preprocessing, feature engineering, and model evaluation techniques.Excellent problem-solving skills and attention to detail.Ability to work independently and as part of a team.Preferred QualificationsFamiliarity with Analog/RF circuitsPrevious experience with real-world data modeling projects.Deployment of ML models on edge devices.Experience or knowledge of on-device algorithm development including hardware-aware ML models.How to Apply: Interested candidates should submit their resume and a cover letter detailing their relevant experience and interest in the position.Minimum Qualifications Bachelor's degree in Electrical Engineering with 3+ years of experience with designing RF/Analog circuits for wireless products (e.g., LNA's, PLL's) and 4+ years of ASIC design, verification, or related work experience.ORMaster's degree in Electrical Engineering or related field and 4+ years of ASIC design, verification, or related work experience.ORPhD in Electrical Engineering or related field and 2+ years of ASIC design, verification, or related work experience. 2+ years of academic or professional experience using two or more of the following software: CADENCE, Virtuoso, ADS.Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.Pay Range And Other Compensation & Benefits$168,600.00 - $252,800.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.If you would like more information about this role, please contact Qualcomm Careers.3073775",Not Applicable,Machine Learning Engineer
+71,2025-03-03,Boston,Massachusetts,"Tagup, Inc.",https://www.tagup.io,"Tagup Inc. was founded in 2017 with a mission to maximize efficiency by using artificial intelligence to optimize equipment, systems, and processes. The company’s core IP and competitive advantage are related to its data pipeline and novel machine-learning techniques. Tagup’s industrial artificial intelligence software is deployed in applications covering a diverse set of capabilities, including maintenance optimization, process optimization, asset lifecycle planning, and inventory optimization. Current system applications range across building systems, military logistics, electric transmission and distribution, power generation, water purification, and renewable energy.","At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient. As a rapidly scaling AI/ML technology company, we are looking to expand our team.Tagup's AI software directly controls large scale industrial equipment and logistics systems, ensuring our customers are running optimally. We are looking for skilled engineers who are interested in helping us scale and automate our infrastructure as we expand our customer base and process more data.As a Machine Learning Engineer, you will work closely with our deployment team to provide innovative analytics and software solutions for our customers. Your primary responsibilities will include building and maintaining various stages of our data processing workflow. This involves ingesting raw customer data, fine-tuning and deploying machine learning models, and presenting the results in client-facing web applications.ResponsibilitiesDevelop and deploy analytic models on industrial dataIntegrate new data sources into our data pipelineBuild and maintain data processing toolsValidate model performance and quantify value creation potential Co-author technical reports on data analysis and model performanceCollaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be requiredDesired SkillsYou are highly technical and analytical, with 4+ years of machine learning experienceYou have experience building and managing large pieces of cloud infrastructure as code, using providers such as AWS, Azure, and GCP, with tools such as Chef, Terraform, Puppet, ansible, cloud formation, and salt stackYou possess strong skills in at least one modern programming language, such as Python (preferred), Ruby, JavaScript, or JavaYou have experience with at least one type of datastore (MySQL, Postgres, InfluxDB, MongoDB)Bonus PointsExperience with PyTorch and/or PyroFamiliarity with KubernetesFamiliarity with Weights and BiasesBackground in variational inference, Gaussian processes, hidden Markov models, and/or time series analysisDirect experience working with enterprise customersAs a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings!Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions.",Not Applicable,Machine Learning Engineer
+72,2025-03-20,Atlanta,GA,ICE,http://www.ice.com,"ICE (NYSE: ICE) connects people to data, technology and expertise that create opportunity and inspire innovation.","OverviewJob PurposeThe Document and Data Automation team at ICE Mortgage Technology is on the forefront of revolutionizing the mortgage lending process through the deployment of cutting-edge AI and ML technologies. Our mission is to transform the traditionally lengthy mortgage workflows, utilizing advanced document recognition, data extraction, and other AI-driven techniques. Our ambitious goal is to cut down the loan processing time from 40 days to just 40 minutes, leveraging the latest in AI and ML innovations.As a Junior Machine Learning Engineer, you will play a crucial role in supporting the development and deployment of these innovative ML models focused on document processing tasks. Your work will be instrumental in enhancing efficiency, accuracy, and speed within the mortgage lending process, contributing directly to our mission of making homeownership more accessible and streamlined.ResponsibilitiesSupport the development of Machine Learning models: Assist in building and refining machine learning models for document processing, under the guidance of senior team members. Utilize your knowledge in deep learning, computer vision, and natural language processing to contribute to models that efficiently extract key data.Contribute to continuous improvement: Support monitoring and optimizing the performance of deployed models to ensure they remain efficient, scalable, and accurate. Help in identifying and resolving performance issues in collaboration with senior engineers. Track key performance indicators, analyze results, and report on the impact of your work.Collaborate with the team: Engage with a cross-functional team of data scientists, engineers, and industry experts to contribute to shared objectives and learn from leading professionals in the field.Learn and grow: Take initiative in learning new technologies and methods in machine learning, especially as they relate to document understanding and data extraction. Stay updated with industry trends and advancements.Facilitate the innovation: Participate in identifying and incorporating new technologies and techniques to advance our document processing capabilities. Be proactive in suggesting improvements and innovative approaches.Knowledge And ExperienceBachelor’s degree in Engineering, Computer Science, or a related field. Master's degree or PHD in Engineering, Computer Science, Statistics, Mathematics, or related field is strongly preferred. Up to 2 years of experience in software engineering, with exposure to the full SDLC.Solid understanding of Statistics, Deep Learning and classical Machine Learning concepts.Strong Python programming skills and familiarity with Deep Learning frameworks like PyTorch or TensorFlow.A foundational understanding of ML principles, statistics, computer vision (CV), and/or natural language processing (NLP).Good communication and presentation skills.Eagerness to learn and adapt to new technologies and methodologies.Advantageous to have:Exposure to ML tools and libraries (e.g. Huggingface Transformers, MLFlow, scikit-learn, pandas, Jupyter).Knowledge of cloud platforms (e.g., AWS), big data processing technologies (SQL, Databricks, Spark), and web development basics.Experience with git, Docker, Terraform, Jenkins.Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.",Not Applicable,Junior Machine Learning Engineer
+73,2025-03-03,Boston,Massachusetts,"Tagup, Inc.",https://www.tagup.io,"Tagup Inc. was founded in 2017 with a mission to maximize efficiency by using artificial intelligence to optimize equipment, systems, and processes. The company’s core IP and competitive advantage are related to its data pipeline and novel machine-learning techniques. Tagup’s industrial artificial intelligence software is deployed in applications covering a diverse set of capabilities, including maintenance optimization, process optimization, asset lifecycle planning, and inventory optimization. Current system applications range across building systems, military logistics, electric transmission and distribution, power generation, water purification, and renewable energy.","At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient. As a rapidly scaling AI/ML technology company, we are looking to expand our team.Tagup's AI software directly controls large scale industrial equipment and logistics systems, ensuring our customers are running optimally. We are looking for skilled engineers who are interested in helping us scale and automate our infrastructure as we expand our customer base and process more data.As a Machine Learning Engineer, you will work closely with our deployment team to provide innovative analytics and software solutions for our customers. Your primary responsibilities will include building and maintaining various stages of our data processing workflow. This involves ingesting raw customer data, fine-tuning and deploying machine learning models, and presenting the results in client-facing web applications.ResponsibilitiesDevelop and deploy analytic models on industrial dataIntegrate new data sources into our data pipelineBuild and maintain data processing toolsValidate model performance and quantify value creation potential Co-author technical reports on data analysis and model performanceCollaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be requiredDesired SkillsYou are highly technical and analytical, with 4+ years of machine learning experienceYou have experience building and managing large pieces of cloud infrastructure as code, using providers such as AWS, Azure, and GCP, with tools such as Chef, Terraform, Puppet, ansible, cloud formation, and salt stackYou possess strong skills in at least one modern programming language, such as Python (preferred), Ruby, JavaScript, or JavaYou have experience with at least one type of datastore (MySQL, Postgres, InfluxDB, MongoDB)Bonus PointsExperience with PyTorch and/or PyroFamiliarity with KubernetesFamiliarity with Weights and BiasesBackground in variational inference, Gaussian processes, hidden Markov models, and/or time series analysisDirect experience working with enterprise customersAs a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings!Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions.",Not Applicable,Machine Learning Engineer
+74,2025-04-08,San Jose,CA,Cisco,http://www.cisco.com,"Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience.  With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. ","Applications are accepted until further notice.Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.Who You'll Work WithYou will join a dynamic engineering team focused on building AI/ML solutions, collaborating closely with platform, security, release engineering, and support teams to deliver the product. Your role includes providing support to ensure its smooth operation.What You'll DoYou are responsible for developing and implementing applications based on generative large language models such as GPT-4, Claude, Llama, and their derivatives, ensuring they meet business requirements. Your role includes optimizing these generative AI applications for enhanced performance, scalability, and reliability, as well as conducting red teaming exercises to validate the robustness and precision of the applications. You are expected to stay informed about the latest developments in AI and machine learning, and proactively suggest the adoption of new technologies . You will also design and develop APIs for smooth interaction with AI models. In addition, you will address and resolve any issues that arise from the AI applications. It is part of your duties to create clear and comprehensive documentation for the developed models and systems, making it accessible to both internal teams and external partners.Who You AreYou are committed to continuous learning and enjoy adopting tools and technologies that best address the problems you are tackling. You place a high value on building solid relationships with colleagues and are passionate about coaching and mentoring engineers. With strong analytical skills, you excel at interpreting data and have the ability to communicate complex information in a simple, actionable manner.Minimum Qualifications: Recently completed or currently enrolled in a PhD program in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field  Understanding of Deep Learning Architectures (Transformers, LSTMs, etc.).  Experience with Transformer-based models (BERT, GPT, other Large Language models).  Proficient in programming languages such as Go/Java, particularly for backend development and integration with data science applications. Preferred Qualifications: Proficient with data science toolkits such as Pandas, NumPy, SciPy, and Scikit-learn, and knowledgeable in vector databases like Milvus or Pinecone for AI similarity searches.  Skilled in fine-tuning large language models like GPT, BERT, and Llama-2 for domain-specific applications, and experienced with generative AI frameworks including LangChain and RAGs.  Practiced in the development and application of GANs (Generative Adversarial Networks) for creative AI solutions.  Competent in Time Series Systems, with the ability to perform real-time series analysis and streaming data processing.  Well-versed in cloud technologies such as Google AI Platform or AWS for scalable AI deployments, and in-depth knowledge of machine learning algorithms, including generative models.  Familiar with big data technologies (e.g., Hadoop, Spark, Kafka) and machine learning frameworks (TensorFlow, PyTorch ) for efficient model training and development.  Expertise in advanced anomaly detection and pattern recognition within time series data, leveraging insights from complex datasets Why Cisco#WeAreCisco, where each person is unique, but we bring our talents to work as a team and make a difference powering an inclusive future for all.We embrace digital, and help our customers implement change in their digital businesses. Some may think we’re “old” (40 years strong) and only about hardware, but we’re also a software company. And a security company. We even invented an intuitive network that adapts, predicts, learns and protects. No other company can do what we do – you can’t put us in a box!But “Digital Transformation” is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it.)Day to day, we focus on the give and take. We give our best, give our egos a break, and give of ourselves (because giving back is built into our DNA.) We take accountability, bold steps, and take difference to heart. Because without diversity of thought and a dedication to equality for all, there is no moving forward.So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us!",Not Applicable,AI Machine Learning Engineer PhD (Intern) United States
+75,2025-03-26,San Francisco,California,"Reddit, Inc.",http://redditinc.com,"Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. Share, vote, and decide what matters in everything from breaking news, to fandoms, lifehacks, gaming, sports, health, and the internet’s cutest animals. With over 100,000 subreddit communities about every topic you could think of (and thousands more you couldn’t), whatever it is, there’s a place for you on Reddit. 
+
+Interested in joining our growing team? Check out redditinc.com/careers.","Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one - join us!Ads Targeting ML engineers are focused on designing and implementing ML systems and solutions for improving targeting products. The team’s projects involve building large-scale offline & online retrieval systems across several dimensions to improve contextual & behavioral targeting for targeting products.As a senior machine learning engineer in the ads targeting core team, you will execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with data and ML-driven solutions.Your ResponsibilitiesOwn end-to-end execution of ML-based targeting products like smart targeting expansion, keyword targeting, auto targeting, user lookalikes etcOwn offline & online experimentation of ML models for improving targeting products to drive advertiser outcomesResearch, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models) with a focus on improving advertiser outcomesDrive technical roadmaps and lead day to day project execution, and contribute meaningfully to team vision and strategyWork on large scale data systems, backend services and product integrationCollaborate closely with multiple stakeholders cross product, engineering, research and marketing Required Qualifications2+ years of experience with industry-level deep learning models.2+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch).3+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models.3+ years of experience of orchestrating complicated data generation pipelines on large-scale datasets.Experience working with cross functional stakeholders across research, product & infrastructure to productize ML research Knowledge of large scale search & recommender systems, or modern ads ranking/retrieval/targeting systems is preferredExperience with deep learning, representation learning or transfer learning is preferredBenefitsComprehensive Healthcare Benefits and Income Replacement Programs401k MatchFamily Planning SupportGender-Affirming CareMental Health & Coaching BenefitsFlexible Vacation & Reddit Global Days offGenerous paid Parental Leave Paid Volunteer time offPay TransparencyThis job posting may span more than one career level.In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.The Base Pay Range For This Position Is$185,800—$260,100 USDReddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.",Associate,"Machine Learning Engineer, Ads Targeting"
+76,2025-03-26,San Jose,CA,Nirmata,http://nirmata.com,"Nirmata Is the Creator of Kyverno - the Kubernetes-Native Policy Engine.         
+
+Nirmata allows enterprises to securely scale Kubernetes by enabling multi-cluster policy-based security and governance. 
+
+Nirmata provides comprehensive policy-based automation for deploying, operating, and optimizing Kubernetes applications across clouds, via easy-to-use, intuitive interfaces. Nirmata empowers enterprise DevOps teams by fully automating the complex operations and management of application containers. Nirmata is a Kubernetes certified solution, and Nirmata, Inc. is also a Kubernetes Certified Solution Provider.
+
+Connect with us at @NirmataCloud or @Kyverno on Twitter.","At Nirmata, our mission is to accelerate adoption of cloud native technologies for enterprises. We believe that software can radically transform the world and are building a solution to help enterprises deliver and operate mission critical software at scale. Nirmata is an enterprise-grade multi-cloud Kubernetes platform.About The RoleAs an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered features. This is a unique opportunity to contribute to a rapidly growing domain within a fast-moving startup.What We OfferHands-on experience with real-world software development projectsMentorship from experienced software engineers.An inclusive and collaborative work environment.Opportunity to be part of an early stage startup.Opportunities to contribute to a cutting-edge SaaS platform, featuring microservices in Java and Go, orchestrated with Kubernetes, utilizing MongoDB for no-SQL data storage, and leveraging Kafka for event processingQualificationsEducation: Bachelor's or Master's degree student in Computer Science or a related field.Focus on machine learning and data science.Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning.Familiarity with SLMs: model design and fine-tuningInterested by Kubernetes and cloud native technologiesAbout NirmataNirmata empowers organizations to innovate rapidly without compromising security or compliance. With Gartner forecasting that 99% of cloud security failures will result from misconfigurations by 2027, Nirmata's policy-as-code platform offers a proactive solution. Nirmata's highly customizable policies seamlessly integrate with your cloud-native environments, ensuring robust governance and security at scale. Trusted by top financial institutions and global enterprises—and with over 3.2 billion downloads of Kyverno, Nirmata's open source policy engine —Kyverno simplifies compliance, mitigates risk, and accelerates the enterprise journey to secure innovation.Nirmata’s success is built on the diverse contributions of its employees. We're committed to an inclusive workplace where everyone's perspective is valued, and we do not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All application information will be kept confidential in accordance with EEO guidelines.Nirmata uses E-Verify for US-based roles, confirming work authorization after a job offer is accepted and the I-9 is completed. If E-Verify can't confirm authorization, we'll provide instructions on contacting DHS or SSA before any action is taken. See the Notice of Right to Work for details.By submitting your application, you acknowledge that Nirmata will process your personal data in accordance with our Privacy Policy.",Not Applicable,Software Engineer Intern- AI/ML & Kubernetes
+77,2025-03-23,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Data-Search - TikTok Recommendation - San Jose) - 2025 Start (BS/MS)
+78,2025-04-09,Mountain View,California,Intuit,https://www.intuit.com/,"Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
+
+We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations. ","OverviewIn this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. You can expect to...What you'll bringModel Prototyping: The ML Engineer would be expected to build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration. The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models.Model Productionalization: Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale. This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. The engineer would be expected to understand the details of the data being used and provide metrics to compare models.Model Enhancement: Work on existing codebases to either enhance model prediction performance or to reduce training time. In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it. This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose.Machine Learning Tools: The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project. The goal of this type of use case would be to ease a pain point in the data science process. This may involve speeding up training, making a data processing easier, or data management tooling.QualificationsBS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).How you will leadDiscover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $132,000 – 178,500, Bay Area California $136,00 – 184,000, Southern California $122,500 – 165,500 . This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.",Associate,Machine Learning Engineer 2
+79,2025-04-08,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
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+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the skills to own the whole ML life cycle, define projects and drive use of best practices across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Responsibilities:Play a critical role in setting the direction and goals for a sizeable team, in terms of project impact, ML system design, and ML best practicesAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence high engineering standardsBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rule-based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering, or a relevant field. 3+ years of experience if you have a PhDExperience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as PyTorch and TensorFlowMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.",Mid-Senior level,Machine Learning Engineer
+80,2025-04-09,Toronto,ON,StackAdapt,http://www.stackadapt.com,"StackAdapt is a digital advertising platform that specializes in native, display, video, connected TV, audio, in-game, and DOOH advertising. 
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+Our state-of-the-art platform is where some of the most progressive work in machine learning meets cutting-edge user experience. StackAdapt is designed around the three core pillars of programmatic—planning, executing and analyzing.
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+StackAdapt is ranked as the number 1 DSP on G2. For six consecutive years with over hundreds of reviews, StackAdapt has been recognized as a high performer and the highest-ranking DSP in customer satisfaction by G2. StackAdapt was also recognized as an Enterprise Fast 15 winner as part of the Technology Fast 50™ program in 2023 and is one of Ad Age’s Best Places to Work in 2024.
+
+Learn more about StackAdapt here: www.stackadapt.com. And if you're looking for a change, we'd love to have you on our team—check out our open roles by visiting: www.stackadapt.com/careers.
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+StackAdapt is headquartered in Toronto, Canada. We have teams and client support across North America, EMEA, APAC, and LATAM.","StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.We're looking to add Machine Learning Engineers to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/Learn more about our team culture here: https://www.stackadapt.com/careers/data-scienceWatch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuUStackAdapt is a Remote First company, and we are open to candidates in various of our operating locations throughout the globe!What you'll be doing: Design modular and scalable real time data pipelines to handle huge datasetsUnderstand and implement custom ML algorithms in a low latency environmentWork on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrentlyWhat you'll bring to the table:Have the ability to take an ambiguously defined task, and break it down into actionable stepsHave deep understanding of algorithm and software design, concurrency, and data structuresExperience in implementing probabilistic or machine learning algorithmsInterest in designing scalable distributed systemsA high GPA from a well-respected Computer Science programEnjoy working in a friendly, collaborative environment with othersStackAdapters enjoy:Competitive salary + equity401K matching3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays offAccess to a comprehensive mental health care platformHealth benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership for those who want a change from their home officeRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, etc)Access to StackAdapt programmatic courses and certifications to support continuous learningMentorship opportunities with industry leadersAn awesome parental leave policyA friendly, welcoming, and supportive cultureOur social and team events!If this role speaks to you then please apply - we'd love to speak with you. Due to a high volume of interest, only those shortlisted for interview will be contacted.StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.About StackAdaptWe've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:Ad Age Best Places to Work 2024G2 Top Software and Top Marketing and Advertising Product for 2024Campaign’s Best Places to Work 2023 for the UK2024 Best Workplaces for Women and in Canada by Great Place to Work®#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising",Entry level,Machine Learning Engineer
+81,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are also exploring how to leverage LLM to further enhance TikTok users search experience, potentially sharping the search engine for the next generation. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding from the perspective of the video itself and social network, improve authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (Data-Search - TikTok US - Seattle) - 2025 Start (BS/MS)
+82,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+83,2025-03-28,Ridgefield Park,NJ,Samsung Electronics America,http://www.samsung.com/us/,"Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays.
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+We’re committed to keeping co-prosperity at our core through creating human-centric innovation, empowering the next generation and serving the communities where we live and work. As an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, SEA is dedicated to positively impacting the environment through its eco-conscious products, practices and operations. ","Position SummarySamsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe.We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team.ResponsibilitiesRole and ResponsibilitiesLead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market.Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.Mentor junior engineers and provide technical guidance.Learn quickly and adapt to a fast-paced working environment.Skills And QualificationsExperience Requirements:Master’s or PhD degree in Computer Science or related fields.4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.Solid theoretical background in machine learning and/or data mining.Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).Hands-on experience with production-grade machine learning solutions.Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).Extensive programming experience in Python, Go or other OOP languages.Familiarity with data structures, algorithms and software engineering principles.Proficiency in SQL and databases.Strong communication and interpersonal skills to drive cross-functional partnerships.Preferred Experience Requirements:Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).Basic knowledge about Amazon Web Services (AWS).Experience with the advertising industry and real-time bidding (RTB) ecosystem.CALIFORNIA ONLYSalary Range Pay Transparency: Compensation for this role, for candidates based in Mountain View, CA is expected to be between $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.Reasonable Accommodations for Qualified Individuals with Disabilities During the Application ProcessSamsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.",Entry level,Machine Learning Model Engineer
+84,2025-04-09,Santa Clara,CA,Atem Corp,http://atemcorp.com/,"ATEM Corp is an IT Consulting organization since Y2004 and been very successful in implementing Enterprise Application Solutions, Network Engineering, Cyber Security & Identity Management to the Fortune 500 companies. ATEM provides strategic guidance and highly skilled technology consultants who transform gaps into solutions to solve clients’ most complex business challenges and problems.  We have a highly specialized team of instructors and industry leading infrastructure.  This enables us to conduct comprehensive in lab and remote training online for consultants/ graduates looking to enhance their career opportunities.
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+•	In our state-of-the-art labs, we have excellent infrastructure and  Networking equipment that are constantly upgraded to popular industry trends standards 
+•	ATEM is an E-Verified employer geared towards training and placing OPT/ STEM graduates.  We sponsor H1B and GC for qualified candidates
+•	Free accommodation is provided for trainees from out of state enabling them easy 24-7 access to our lab facilities
+•	One-way relocation expenses are covered for trainees coming in from out of state.
+•	They say “Manners Maketh Man” - similarly “Certifications Market’th Resume”.  Our training enables candidates to get certified in the most popular vendor based certifications in the market (CCNA, CCNP, Hortonworks, Hadoop etc…)
+•	Our marketing & placement team work closely with candidates to ensure faster placements on client projects and also guide candidates to achieve their selected career goals
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+Modules offered by ATEM
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+•	CCNA/CCNP/Cisco /Networking | Hands on Training and Placement | Register Today 
+•	Datacenter Networking | Hands on Training and Placement | Register Today
+•	Network Security | Hands on Training and Placement | Register Today
+•	Comprehensive Big Data (Hadoop) | Online Training & Placement | Register Today 
+•	Big Data (Hadoop/ Hortonworks) Certifications | Online Training & Placement | Register Today","Role- AI/ML Data ScientistLocations- Atlanta, GA (Locals or nearby)Duration- Long TermExp Level- 12+ yrsUSC/GC/H4Job DutiesCollect software requirements from Business and Subject Matter Experts and analyse requirements.Collaborating with data scientists and analysts to understand data requirementsCommunicating technical concepts to non-technical stakeholdersPerform requirement analysis, design, develop/modify, build, and deploy software applications/utility software applications.Monitoring data pipelines for performance and reliabilityTroubleshooting and resolving issues in data pipelinesDeveloping and optimizing data processing algorithmsImplementing parallel processing and distributed computing techniquesPerforming exploratory data analysisDevelop and implement a set of techniques or analytics applications to transform raw data into meaningful information.Source data identification and collectionData extraction from various databases, APIs, and external sourcesData ingestion and integration into data pipelinesData cleaning and preprocessingStructuring Unstructured DataImplementing data quality checks and validationsExperience in programming languages, technologies and Software tools required for this position are :Python, MATLAB, JavaScript, XML, SQL, HTML, Shell, Huggingface, PyTorch, Tensorflow, Pandas, matplotlib, NumPy, d3, dplyr, GitHub, Azure DevOps, GitLab, Jupiter Notebook, Machine Learning, Predictive modelling, MLOps etc..Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.Designing and maintaining data storage systemsDatabase management and optimizationImplementing data security measuresVisualize, interpret, and report data findings. Create dynamic data reports.Creating dashboards and reports for data visualizationImplementing interactive data visualization toolsEstablishing data governance policies and proceduresEnsuring compliance with data regulations and standards",Entry level,AI/ML Data Scientist
+85,2025-03-20,New York,New York,PermitFlow,www.permitflow.com,PermitFlow is the nation's leading permit application and management platform. We help builders across the country to simplify and speed up the process of obtaining construction permits.,"🚀 About PermitFlowPermitFlow’s mission is to streamline and simplify construction permitting in the $1.6 trillion United States construction market. Our software reduces time to permit, supporting permitting end-to-end including permit research, application preparation, submission, and monitoring.We’ve raised a $31m Series A led by Kleiner Perkins with participation from Initialized Capital, Y Combinator, Felicis Ventures, Altos Ventures, and the founders and executives from Zillow, PlanGrid, Thumbtack, Bluebeam, Uber, Procore, and more.Our team consists of architects, structural engineers, permitting experts, and workflow software specialists, all who have personally experienced the pain of permitting.📌About The TeamWe have a lean but mighty engineering team. We’ve done a lot with a little, but there’s much more work to be done to continue our fast-paced growth and we want you to be a part of that growth. You’ll help us get there by owning end-to-end projects, talking with customers, and ultimately supporting the growth of PermitFlow.✅ What You’ll Do: You'll work alongside the CTO and engineering team to develop the first construction permit application and management platform for builders. Our current team consists of engineers from Uber, Amazon, NerdWallet, OnDeck, Harvard, Stanford, and more. We are background and experience agnostic, and we encourage anyone to apply if they are passionate about joining a small team and working to solve a real-world pain point.We are seeking a Machine Learning Engineer to help build intelligent systems that enhance our permit processing, document understanding, and compliance workflows. You will work on LLM-based models, retrieval-augmented generation (RAG) pipelines, and AI-driven automation, leveraging state-of-the-art techniques to extract, analyze, and structure complex permitting data.Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit application workflows. Develop and fine-tune retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval. Experiment with pre-trained models and fine-tune them for permit-related NLP tasks, such as document classification and entity recognition. Build scalable machine learning infrastructure, integrating with backend systems to support AI-driven workflows. Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance. Monitor and improve the performance and scalability of deployed models. Stay updated with the latest research in LLMs, NLP, retrieval systems, and apply best practices to our AI models. Collaborate with engineers, product managers, and legal experts to develop AI-native solutions for complex permitting challenges. 🙌 Qualifications & Fit:3+ years of experience in machine learning engineering, ideally in production environments. Strong understanding of LLMs (e.g., OpenAI GPT, Hugging Face models) and their applications. Hands-on experience with retrieval systems (e.g., Elasticsearch, FAISS, or vector databases). Proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with ML model deployment, monitoring, and scaling in a cloud environment (AWS, GCP, or Azure). Strong problem-solving skills and ability to work in a fast-paced, high-ownership environment. 💙 Benefits📈 Equity packages💰 Competitive Salary🩺 100% Paid health, dental & vision coverage💻 Home office & equipment stipend🍽️ Lunch & Dinner provided via UberEats w/ a fully stocked kitchen🚍 Commuter benefits🎤 Team building events🌴 Unlimited PTOCompensation Range: $190K - $240K",Entry level,"Machine Learning, Software Engineer (Remote)"
+86,2025-03-24,Seattle,WA,Uniblox,https://www.uniblox.io,"Uniblox is a no-code eCommerce platform for carriers to create and distribute insurance products, delight customers with premium experiences, and boost sales with AI insights.
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+Our platform has enabled clients to transform operations, like reducing group medical underwriting from 60 days to achieving 65% same-day decisions. This efficiency leap is on track to boost participation rates by over 10% and save thousands of hours previously lost to manual processes.
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+Launching a pilot with Uniblox is a streamlined, 2-week process requiring just your filed application, rates, and underwriting manual. Connect with us to unlock unprecedented efficiency and growth for your insurance offerings.","Are you passionate about building AI-driven solutions that solve real-world problems? At Uniblox, we are modernizing the insurance industry using cutting-edge AI, NLP, LLMs and machine learning. Our platform processes structured and unstructured data in real time to deliver instant, seamless insurance experiences.As a Machine Learning Engineer, you will play a critical role in developing, deploying, and optimizing machine learning models that power our AI-driven platform. You’ll collaborate with data scientists, software engineers, and product teams to bring intelligent solutions into production and continuously improve model performance.What You’ll DoDesign, develop, and deploy machine learning models, focusing on NLP, predictive analytics, and automation.Build and optimize scalable ML pipelines for data ingestion, feature engineering, training, and inference.Implement, fine-tune, and monitor models in production to ensure efficiency, reliability, and accuracy.Work closely with data scientists to translate research models into production-ready solutions.Develop and maintain APIs to integrate ML models into real-time applications and services.Optimize model performance and scalability through experimentation and continuous improvements.Collaborate with software engineers to ensure seamless deployment and monitoring of ML models.Maintain best practices in ML engineering, including version control, CI/CD pipelines, and cloud deployment.What You’ll Bring3-5 years of hands-on experience in developing and deploying machine learning models in production environments.Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.Strong knowledge of data structures, algorithms, and software engineering best practices.Experience working with cloud platforms (AWS, GCP, or Azure) and deploying ML models in scalable architectures.Hands-on experience with MLOps tools such as MLflow, Docker, Kubernetes, or SageMaker.Solid understanding of NLP, time-series forecasting, or recommendation systems.Experience working with large-scale data processing tools such as Spark, Dask, or Ray.Familiarity with version control (Git), CI/CD workflows, and Agile methodologies.Strong problem-solving skills and the ability to work in a fast-paced, collaborative startup environment.Nice to HaveExperience with Retrieval Augmented Generation (RAG), LLMs, or Generative AI.Knowledge of real-time streaming frameworks like Kafka.Background in insurance or fintech industries.EducationBS/MS in Computer Science, Data Science, Machine Learning, or a related field.",Mid-Senior level,Machine Learning Engineer
+87,2025-03-03,Boston,Massachusetts,"Tagup, Inc.",https://www.tagup.io,"Tagup Inc. was founded in 2017 with a mission to maximize efficiency by using artificial intelligence to optimize equipment, systems, and processes. The company’s core IP and competitive advantage are related to its data pipeline and novel machine-learning techniques. Tagup’s industrial artificial intelligence software is deployed in applications covering a diverse set of capabilities, including maintenance optimization, process optimization, asset lifecycle planning, and inventory optimization. Current system applications range across building systems, military logistics, electric transmission and distribution, power generation, water purification, and renewable energy.","At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient. As a rapidly scaling AI/ML technology company, we are looking to expand our team.Tagup's AI software directly controls large scale industrial equipment and logistics systems, ensuring our customers are running optimally. We are looking for skilled engineers who are interested in helping us scale and automate our infrastructure as we expand our customer base and process more data.As a Machine Learning Engineer, you will work closely with our deployment team to provide innovative analytics and software solutions for our customers. Your primary responsibilities will include building and maintaining various stages of our data processing workflow. This involves ingesting raw customer data, fine-tuning and deploying machine learning models, and presenting the results in client-facing web applications.ResponsibilitiesDevelop and deploy analytic models on industrial dataIntegrate new data sources into our data pipelineBuild and maintain data processing toolsValidate model performance and quantify value creation potential Co-author technical reports on data analysis and model performanceCollaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be requiredDesired SkillsYou are highly technical and analytical, with 4+ years of machine learning experienceYou have experience building and managing large pieces of cloud infrastructure as code, using providers such as AWS, Azure, and GCP, with tools such as Chef, Terraform, Puppet, ansible, cloud formation, and salt stackYou possess strong skills in at least one modern programming language, such as Python (preferred), Ruby, JavaScript, or JavaYou have experience with at least one type of datastore (MySQL, Postgres, InfluxDB, MongoDB)Bonus PointsExperience with PyTorch and/or PyroFamiliarity with KubernetesFamiliarity with Weights and BiasesBackground in variational inference, Gaussian processes, hidden Markov models, and/or time series analysisDirect experience working with enterprise customersAs a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings!Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions.",Not Applicable,Machine Learning Engineer
+88,2025-03-27,Charlotte,NC,Sealed Air Corporation,http://www.sealedair.com,"Sealed Air is in business to protect, to solve critical packaging challenges, and to make our world better than we find it. Our automated packaging solutions promote a safer, more resilient, and less wasteful global food, fluids and liquids supply chain, enable e-commerce, and protect goods in transit from damage.
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+Our globally recognized solution brands include CRYOVAC® food packaging, LIQUIBOX® fluids and liquids systems, SEALED AIR® protective packaging, AUTOBAG® automated packaging systems, BUBBLE WRAP® packaging, SEE Automation™ and prismiq™ digital packaging and printing.
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+Our partnership with customers creates value through sustainable, automated, and digital packaging solutions, leveraging our industry-leading expertise in materials, automation systems, engineering and technology.
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+Our Sealed Air Net Positive Circular Ecosystem is leading the packaging industry in creating a more environmentally, socially, and economically sustainable future. We have pledged to design or advance 100% of our packaging materials to be recyclable or reusable by 2025, with a bolder goal to reach net-zero carbon emissions in our global operations by 2040. Our Global Impact Report highlights how we are shaping the future of the packaging industry. 
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+In 2024, Sealed Air generated $5.4 billion in sales and has approximately 16,400 employees who serve customers in 117 countries/territories. To learn more, visit sealedair.com.","Sealed Air designs and delivers packaging solutions that protect essential goods transported worldwide, preserve food, enable e-commerce and digital connectivity, and help create a global supply chain that is touchless, safer, less wasteful, and more resilient. We strive to foster a caring, high-performance growth culture that will deliver consistent, sustainable profitable growth and accelerate our performance – a culture where accountability is clear and aligned, and where we reward business outcomes and impact. That culture guides everything we do, including how we partner with our customers and suppliers, how we attract and retain top talent, and how we create and deliver value for our stakeholders. In 2024, Sealed Air generated $5.4 billion in revenue and had approximately 16,400 employees distributing products and services to 117 countries/territories around the world. To learn more, visit www.sealedair.com.Position SummaryCome join our team at the Sealed Air Automation & Connectivity Lab! We deliver innovative cloud-based IoT product solutions through our culture of being customer focused and driving business value. You will have the opportunity to collaborate with talented team members across various functions, including software and hardware engineers, product owners, and customer support teams. Our teams work on innovative feature backlogs and drive creative and unique solutions to solve real world customer problems We are seeking a talented and experienced AI/ML Software Engineer to join our innovative team. The ideal candidate will have a strong background in software engineering, data engineering, and cloud-based AI/ML solutions. You will play a crucial role in driving our AI/ML initiatives, applying emerging technologies to IOT and machine data challenges, and building scalable, intelligent systems that enhance our products and processes.Job DescriptionDevelop, and deploy machine learning models and AI solutions in cloud platforms like AWS that leverages IoT data to deliver business valuePerform data preprocessing, feature engineering, and model evaluation to ensure high-quality and accurate results.Apply software development skills to integrate AI/ML models into a cloud-native architecture.Work closely with cross-functional teams, including DevOps engineers, business stakeholders, and product managers, to build robust ML infrastructure and pipelines that address IoT data challenges and translate business needs into scalable AI/ML solutions. Conduct technical design reviews and provide architectural guidance.Contribute to ongoing learning events and activities to continuously enhance skills.Skills NeededBachelor's degree in in Computer Science, Engineering, or a related technical field.A minimum of five years of professional experience in software development with Java or PythonStrong mathematical and computational skills, with a deep understanding of statistics, algorithms and optimization techniquesHands-on experience with ETL pipeline development and large-scale data processing. Experience in data structures, data modeling, and software architecture to design scalable AI/ML solutions.Proactive mindset with the ability to take ownership of challenges, drive technical discussions, a and contribute to decision-making in a collaborative environment.Hands-on experience with relational or NoSQL databases. QualificationsExperience with Cloud platforms (AWS, Azure, or GCP) and their AI/ML services.Proficiency in GEN AI, LLM’s, Open AI, Hugging Face, RAG Models.Experience with big data frameworks such as Apache Spark, Hadoop, and distributed computing. Experience with DevOps/MLOps practices, CI/CD pipelines, and automation tools for AI-ML model deployment. Strong knowledge of API architecture, microservices, and distributed systems for integrating AI models into scalable applications.Familiarity with IoT platforms and handling large volumes of real-time sensor data in an industrial setting. Requisition id: 50910Relocation: NoSealed Air is committed to attracting, selecting, and developing talent that reflects the diversity of the communities and customers we serve. We take pride in our selection process to identify, infuse, and grow talent to align with our culture, values, and norms. Sealed Air prioritizes talent development, fostering a culture of continuous growth and career progression. The company is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state and local laws.Please be cautious of fraudulent recruiting efforts using the Sealed Air name or logo. Sealed Air will never request private information during the application process, such as a Driver's License or Social Security Number. If you have any concerns about information received from SEE during the application process, please reach out to us directly at globalta@sealedair.com.LINK1 MON1",Associate,AI/ML Software Engineer
+89,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+90,2025-01-03,,,Chubb,https://www.chubb.com/,"Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs approximately 40,000 people worldwide.
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+Read our Social Media Guidelines here: https://www.chubb.com/us-en/about-chubb/chubbs-social-media-guidelines.aspx
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+Notre section « À propos » est également disponible en français, ici: https://www.chubb.com/ca-fr/about-chubb-in-canada/a-propos-de-chubb-au-canada.aspx","Job DescriptionThe North America Sales & Distribution Data Analytics team at Chubb is seeking a machine learning engineer with 2-3+ years of industry experience to join our fast-paced, high-energy team.As an MLengineer for North America Data Analytics, you will develop solutions to complex business problems which combine industry standard practices with innovation. This position offers exposure to a wide variety of analytic tools and technologies. Be ready to meet data challenges head-on as you develop and refine data processes to marry data from multiple structured and unstructured data sources which ultimately feed into the evaluation, implementation, and monitoring of predictive models.In This Role You WillBuild, test and deploy Machine Learning/Deep Learning tools and pipelines, to solve internal and external business requirementsTake part in every step of the model creation process from ideation to deploymentCreate and maintain automated and semi-automated data pipelines within on-prem servers as well as in cloud (Azure).Play an active role in model deployment and testing.Create excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups.Effectively communicate with key stakeholders in written, oral and presentation formats.QualificationsEducationBachelor’s degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus).RequiredExcellent and demonstrable programming ability in Python.Significant experience with writing complex SQL queriesExperience deploying solutions as Databricks jobs/ dockerized containersHands-on experience with big data technologies and cloud (Spark, Azure/AWS/GCP).Understanding of LLM functionality and inference techniquesWorking knowledge/familiarity with Git version control.Solid understanding of databases and ETL/ELT best practices.Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion.Ability to multi-task, learn new things quickly, and have excellent problem solving & communication skills.A mindset for collaboration, knowledge sharing and keeping up to date on emerging industry trends.PreferredExperience with at least one other programming language (JavaScript, Java, C++/C)Experience with Azure suite of applications Comfortable with command line (Linux, Windows) scripting.Strong expertise in authoring ETL pipelines and processing data at scale.Nice to haveExposure to technologies such as DBT, Apache AirFlow or Luigi.Working knowledge of containers, specifically Dockerizing APIs.Exposure to CI-CD pipelines.Comfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.).Location:We are open to the following work locations for this position: (Philadelphia, PA - Jersey City, NJ - Whitehouse Station, NJ)Please note there will be limited expected travel to various work locations for in person collaboration and meetings. The pay range for the role is $96,300 to $163,700. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website . The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.About UsChubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.",Entry level,Machine Learning Engineer
+91,2025-01-30,Palo Alto,CA,Escalon Services,https://escalon.services/,"If you’re like us, you’re in business to do what you love—build great products, teams, and customer relationships. Paying bills, generating financial reports, sending invoices, managing taxes, and running payroll are necessary and often urgent - distractions. 
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+At Escalon, we help you focus on what you love by handling your non-core and necessary back-office work. 
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+Escalon was founded in 2006 in Palo Alto, CA, to serve small and medium-sized businesses and non-profits. In 2020, we made a significant stride by acquiring Early Growth, the leading CFO, accounting, and tax services provider to venture-backed startups. This was followed by another milestone in 2022 when we acquired Full Stack Finance, a leading finance and HR services provider to startups and private equity-backed businesses. 
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+The combined companies have provided outsourced finance, accounting, tax, HR, and insurance services to over 20,000 customers in more than 40 countries. ","Department: Recruiting DoneLocation: San FranciscoCompensation: $140,000 - $160,000 / yearDescriptionOur client has built and published award-winning research on the frontier of AI. They have built and worked on deep learning, reinforcement learning, multi-agent systems, economics, robotics, automated experiment design, program synthesis, formal verification, and more. Their mission is to build intelligence to co-invent the future. They envision a future where people and powerful AI agents interact and collaborate in unseen ways to create and discover. To achieve this, they build AI that plans, abstracts, verifies, and discovers new skills and knowledge. They are backed by top-tier investors and partners including Eric Schmidt (former CEO of Google and former Executive Chairman of Alphabet), Caltech, Jeff Dean (Chief Scientist, Google DeepMind and Google Research), and JP Millon.Key ResponsibilitiesWhat you'll doBe a key team member that will help set the course, take ownership, and execute rapidly.Design, train, and evaluate hybrid AI systems that perform well at scale and make optimal trade-offs.Build data processing pipelinesImplement machine learning modelsRun machine learning workloads at scale using distributed computingDefine and apply simple design principles that scale (Occam's Razor)Solve min-max problems: how can we do more with less?Accelerate our work by removing operational and tooling bottlenecks.Skills, Knowledge and ExpertiseWhat we look forYou enjoy and are energized by solving challenging and meaningful real-world problems.You have a track record in a technical domain, e.g., machine learning, computer science, physics, math.You have developed and implemented machine learning algorithms, models, and tools.You have strong programming (Python, C++) and math abilities.You have clear verbal and written communication skillsYou have strong conceptual and structured thinking.You are willing and able to learn quickly.You have team spirit.You can independently structure, plan, prioritize, and get things done.You have a drive for excellence, a sense of urgency, and bias to action.It would be nice to haveOpen-source projects, published research papers, or other examples of experience in using machine learning.Experience with applying deep learning, reinforcement learning, unsupervised learning, and other techniques to large-scale problems.Experience with distributed computing and handling large datasets.BenefitsOur compensation, benefits, and perksCompetitive salaryStock options100% covered premium health, dental, and vision insurance.Wellness benefits (e.g., gym, fitness classes, physical therapy).Retirement 401k: 100% match of your 401k deferrals up to 4% of your compensation.Commuter benefitsDaily meals in the officeTraining and development budget, e.g., for domestic conferences.Flexible working hoursUnlimited PTO (with manager approval)Team-building events and celebrations",Mid-Senior level,Machine Learning Engineer
+92,2024-11-13,,,"Paradyme, a CATHEXIS Company",,,"OverviewParadyme, a CATHEXIS Company is a rapidly growing government technology leader that puts service first, for its customers, its team and the communities it supports. We harness DevSecOps and Agile development processes to deliver exceptional results for digital transformations. With headquarters office in Tysons Corner, VA, our award-winning culture sets it apart through its team’s deep commitment to service and collaboration with its customers, each other and the community. Learn more at www.paradyme.us .ResponsibilitiesParadyme, a CATHEXIS Company is hiring a Data Scientist /ML Engineer to support mission critical programs.DutiesThe Data Scientist /ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Duties include: Research, design, implement, and deploy Machine Learning algorithms for enterprise applications.  Assist and enable federal customers to build their own applications.  Contribute to the design and implementation of new features. Qualifications Master's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields or Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields with one year of r elevant work experience.  Excellent programming skills in Python.  Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).  Strong mathematical background (linear algebra, calculus, probability, and statistics).  Experience with scalable ML (MapReduce, streaming).  Ability to drive a project and work both independently and in a team.  Smart, motivated, can-do attitude, and seeks to make a difference.  Excellent verbal and written communication.  MUST be eligible to obtain a Department of Defense (DoD) Secret or Top Secret clearance. Nice To Have MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.  Real passion for developing team-oriented solutions to complex engineering problems.  Thrive in an autonomous, empowering and exciting environment.  Great verbal and written communication skills to collaborate multi-functionally and improve scalability.  Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment.  Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.  Experience with deep learning, natural language processing, computer vision, or reinforcement learning.  Conveys highly technical concepts and information in written form to technical and non-technical audiences.  The ability to work on multiple concurrent projects is essential. Strong self -motivation and the ability to work with minimal supervision.  Must be a team-oriented individual, energetic, result & delivery oriented, with a keen interest on quality and the ability to meet deadlines.  Ability to work in an agile environment Physical Requirements: These are the essential physical requirements needed to successfully perform the job.Sedentary work.Requires sitting up to 8 hours per day.May require lifting up to 5 pounds unassisted.Fine repetitive motor skills with hands, wrists, and fingers in coordination with eyes.Hearing, speaking, and vision: Adequate to perform job duties and communicate in person, via video, and telephone. Includes reading information from printed sources and computer screens.Other: Work may be performed in an office environment, which may involve frequent contact with staff and the public. Work may be stressful at times. EEO Statement Paradyme, a CATHEXIS Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact HR@paradyme.us",Entry level,Data Scientist / ML Engineer
+93,2025-04-01,San Jose,CA,Zoom,www.zoom.com,"Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom AI-first work platform you know and love. 💙
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+Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, Contact Center and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.
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+We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you'll find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
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+Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home","What You Can ExpectZoom is a leading collaboration platform company pioneering the development of autonomous AI agents and Large Language Models to enhance communication and productivity solutions. We're dedicated to advancing the frontier of AI-powered collaboration tools that can understand, reason, and act autonomously while maintaining security and trust.About The TeamWe're seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.ResponsibilitiesDesign and implement autonomous agent systems with task reasoning, planning, and execution capabilities.Develop prompt engineering frameworks for reliable agent behavior and coordination in multi-agent environments.Build and maintain LLM-powered services using models like GPT-4, Claude, and internal models.Develop efficient prompt management systems and evaluation frameworks for optimizing agent performance.Optimize model infrastructure for low latency, high throughput, and reliable context handling.Deploy agent systems on Kubernetes with monitoring, logging, and scalable microservices architectures.Implement vector storage and retrieval systems for semantic search and efficient memory management.Build robust testing frameworks for agent behavior validation and continuous improvement.Ensure proficiency in LLM APIs, agent frameworks, Python, ML frameworks, distributed systems, and semantic search.What We’re Looking ForAdvanced degree in Computer Science or related fields.3+ years of experience in ML engineeringStrong background in NLP and transformer architecturesExperience with production ML systemsExperience building autonomous agent systemsResearch experience in LLM alignment or safetyContributions to open-source LLM/agent projectsPublications in NLP/ML conferencesMinimumSalary Range or On Target Earnings:$222,400.00Maximum$486,500.00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.We also have a location based compensation structure; there may be a different range for candidates in this and other locations.Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.Our Commitment We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.",Not Applicable,Machine Learning Engineer - AI Agent
+94,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+95,2025-03-03,Boston,Massachusetts,"Tagup, Inc.",https://www.tagup.io,"Tagup Inc. was founded in 2017 with a mission to maximize efficiency by using artificial intelligence to optimize equipment, systems, and processes. The company’s core IP and competitive advantage are related to its data pipeline and novel machine-learning techniques. Tagup’s industrial artificial intelligence software is deployed in applications covering a diverse set of capabilities, including maintenance optimization, process optimization, asset lifecycle planning, and inventory optimization. Current system applications range across building systems, military logistics, electric transmission and distribution, power generation, water purification, and renewable energy.","At Tagup, we use machine learning to make the machines that power the world safer, more reliable, and more efficient. As a rapidly scaling AI/ML technology company, we are looking to expand our team.Tagup's AI software directly controls large scale industrial equipment and logistics systems, ensuring our customers are running optimally. We are looking for skilled engineers who are interested in helping us scale and automate our infrastructure as we expand our customer base and process more data.As a Machine Learning Engineer, you will work closely with our deployment team to provide innovative analytics and software solutions for our customers. Your primary responsibilities will include building and maintaining various stages of our data processing workflow. This involves ingesting raw customer data, fine-tuning and deploying machine learning models, and presenting the results in client-facing web applications.ResponsibilitiesDevelop and deploy analytic models on industrial dataIntegrate new data sources into our data pipelineBuild and maintain data processing toolsValidate model performance and quantify value creation potential Co-author technical reports on data analysis and model performanceCollaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be requiredDesired SkillsYou are highly technical and analytical, with 4+ years of machine learning experienceYou have experience building and managing large pieces of cloud infrastructure as code, using providers such as AWS, Azure, and GCP, with tools such as Chef, Terraform, Puppet, ansible, cloud formation, and salt stackYou possess strong skills in at least one modern programming language, such as Python (preferred), Ruby, JavaScript, or JavaYou have experience with at least one type of datastore (MySQL, Postgres, InfluxDB, MongoDB)Bonus PointsExperience with PyTorch and/or PyroFamiliarity with KubernetesFamiliarity with Weights and BiasesBackground in variational inference, Gaussian processes, hidden Markov models, and/or time series analysisDirect experience working with enterprise customersAs a fast-growing technology company, we offer all members of the team part-ownership through an Employee Stock Option Plan. We also offer health insurance benefits, access to the company 401K plan, and encourage a team-oriented work environment with regular company outings!Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.We offer a competitive salary and benefits package commensurate with experience and qualifications. We are committed to attracting and retaining top talent, and we believe in compensating our employees fairly for their contributions.",Not Applicable,Machine Learning Engineer
+96,2025-04-08,Bengaluru South,Karnataka,VOIZ | voizworks.com,https://www.voizworks.com,"VOIZ is a tele-jobs marketplace. We get tele-jobs done for small, medium and large companies on a fully outsourced model.
+
+VOIZ has 25K active WFH agents and has worked with 300+ clients since inception.","About TennrToday, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster.Tennr is a NYC-based tech company that launched out of Y-Combinator and is backed by Lightspeed Venture Partners, Andreessen Horowitz, Foundation Capital, The New Normal Fund, and other top investors.Key ResponsibilitiesMachine Learning Engineers at Tennr are expected to wear a variety of hats. In the role, you will be expected to do the following:End-to-End Model Development: Architect, train, deploy, and monitor machine learning models, especially open-source LLMs and traditional computer vision models, to deliver tangible value to Tennr’s customers.Data Processing & ML Ops: Build, optimize, and maintain data pipelines and machine learning infrastructure, enhancing our operational capability as data volume and complexity grow.System Integration: Design and implement backend workflows leveraging machine learning to automate critical processes within Tennr’s platform.Custom Model Development: Fine-tune large language models, vision language models, and traditional computer vision models tailored specifically for medical document understanding and related tasks.Product Collaboration: Work closely with sales, customer success, and implementation teams to integrate customer feedback into actionable improvements and innovative solutions.Evaluation and Optimization: Develop robust evaluation frameworks to measure model performance and efficacy within complex, multi-model systems.Qualifications3+ years of professional experience in an applied machine learning engineering role, ideally post-BS/MS.Proven experience deploying and maintaining machine learning models in production environments, preferably within startups or rapidly evolving companies.Practical experience fine-tuning open-source LLMs and/or traditional computer vision models.Familiarity with robust ML Ops stacks, infrastructure management, and operational best practices for machine learning at scale.Comfort working within complex systems that integrate multiple machine learning components, with experience building evaluation frameworks to ensure system performance.Academic background in machine learning, mathematics, or related fields preferred.Up-to-date knowledge of recent advancements in large language models (LLMs) and enthusiasm for tracking rapid developments in the space.Prior startup experience or exposure to environments leveraging state-of-the-art ML models strongly preferred.",Entry level,Machine Learning Engineer
+97,2025-03-26,Toronto,Ontario,Ideogram,https://ideogram.ai/,"Ideogram is defining the future of design in the age of AI. Turn your ideas into stunning graphic designs, in a matter of seconds. It's pronounced eye-dee-oh-gram.","Ideogram’s mission is to help people become more creative. Our thesis is that everyone has an innate desire to create. We are developing state-of-the-art AI tools that will make creative expression more accessible and efficient. We are pushing the limits of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a growing presence in NYC. Read our Ideogram 3.0 and Canvas blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About The RoleAs a Machine Learning Engineer, you will build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.What We're Looking For2+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlowExperience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratchTrack record in machine learning innovation and familiarity with Deep Learning and advanced Machine LearningEnd-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AIAbility to debug machine learning models to iteratively improve model quality and performanceNice to have: Familiarity with kubernetes and dockerOptional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel codeFounding teamOur founding team consists of world-renowned AI experts including Mohammad Norouzi, Jonathan Ho, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, UC Berkeley, CMU, and the University of Toronto. Our fundamental work in AI includes: Imagen: Google’s text-to-image system, Imagen Video for video synthesis, Denoising Diffusion Models, which is the foundation of the recent generative media transformation.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.",Entry level,Machine Learning Engineer
+98,2025-03-13,New York,,Dstillery,https://www.dstillery.com,"Dstillery is the leading AI ad targeting company. We empower brands and agencies to target their best prospects for high-performing programmatic advertising campaigns. Backed by our award-winning Data Science, Dstillery has earned 23 patents (and counting) for the AI technology that powers our precise, scalable audiences. Our newest technology, ID-free®, is patented, privacy-safe behavioral targeting that reaches 100% of ad impressions and can be used with any Dstillery product. Our premier user segment product, Custom AI Audiences, is a just-for-your-brand targeting solution that refreshes hundreds of millions of users every 24 hours to deliver the best performance. 
+
+To learn more, visit www.dstillery.com. For career opportunities, visit dstillery.com/careers.","About DstilleryDstillery is the leading AI ad targeting company. We empower brands and agencies to target their best prospects for high-performing programmatic advertising campaigns. Backed by our award-winning Data Science, Dstillery has earned 24 patents (and counting) for the AI technology that powers our precise, scalable audiences. Our newest technology, ID-free®, is patented, privacy-safe behavioral targeting that reaches 100% of ad impressions and can be used with any Dstillery product. Our premier user segment product, Custom AI Audiences, is a just-for-your-brand targeting solution that refreshes hundreds of millions of users every 24 hours to deliver the best performance.The TeamWe are looking for a software engineer with strong cloud DevOps skills to join our Data Science Department as a Machine Learning Engineer. You will work on automating, building and deploying production machine learning solutions. You will have the opportunity to work alongside Machine Learning Engineers, Researchers and Analysts within our Data Science team who together create solutions that power innovation and drive revenue growth for Dstillery.The Machine Learning Engineering team often tackles greenfield projects and we are in the midst of building exciting new products on top of a modern, cloud based machine learning platform, making it an exciting time to join and help shape our future machine learning products.We believe diverse voices and backgrounds lead to richer perspectives and more innovative products. We strive to be a welcoming, safe and inclusive place to work that takes work life balance seriously and gives you the flexibility and support to be happy and productive. We value a diversity of professional backgrounds, and our colleagues come from various settings such as academia, fintech, adtech, big tech companies, startups, etc.As a Machine Learning Engineer here is what you'll learn and doDevelop our MLOps processes and toolsCollaborate with researchers and other machine learning engineers to build exciting new machine learning productsExplore, build and deploy machine learning infrastructure at scaleWrite production code and data pipelines and conduct code reviewsPromote and exemplify best practices of engineering and data science throughout the organizationYou'll haveA bachelor's degree in a quantitative field (CS, EE, Statistics, Physics, Math, etc.)2+ years of industry software engineering experiencePassion for clean code, building, and automationTechnologies we useDstillery anticipates all candidates will need some sort of on-the-job training and a willingness to learn through collaboration is key. We understand that you may not already be an expert in the various technologies we use, but you should be ready to learn and work with:Google Cloud PlatformPythonMachine learning frameworks such as scikit-learn, TensorFlow, PyTorchAirflow, Spark, SQL, Kubernetes, JenkinsX, TerraformLocationPosition can be based at our New York office or remotely locatedDstillery is an Equal Opportunity Workplace",Entry level,Machine Learning Engineer
+99,2025-04-08,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the skills to own the whole ML life cycle, define projects and drive use of best practices across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Responsibilities:Play a critical role in setting the direction and goals for a sizeable team, in terms of project impact, ML system design, and ML best practicesAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence high engineering standardsBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rule-based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering, or a relevant field. 3+ years of experience if you have a PhDExperience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as PyTorch and TensorFlowMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.",Mid-Senior level,Machine Learning Engineer
+100,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+101,2025-03-20,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.Our Perception team builds the system that ""sees"" the world around the self-driving car. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop complex models and techniques at scale.In this hybrid role, you will report to a Technical Lead Manager.You WillApply machine learning techniques to build multi-modal sensor fusion architectures including object detection and tracking, segmentation, road understanding, flow estimation and future prediction.Design large-scale foundation models trained on our vast dataCreate foundation scale data sets to enable self supervised learning and distillationDevelop data mining, labeling, training and evaluation pipelines to help the Waymo DriverYou HaveBachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience3+ years experience in Computer Vision and/or Machine LearningExperience with PythonWe PreferMS or PhD Degree in Computer Science, Robotics or a similar disciplinePublications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, or PAMIExperience with C++The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$170,000—$216,000 USD",Entry level,"Software Engineer, Machine Learning/Computer Vision"
+102,2025-03-05,Lake Mary,Florida,Alpha,http://www.myalphafund.com,"At AlphaFund, we focus on the dynamic intersection of healthcare, biotechnology, and venture capital, uncovering the insights, trends, and opportunities that drive transformational growth. Our mission is to empower investors, entrepreneurs, and industry leaders with the knowledge and connections needed to navigate and thrive in these rapidly evolving sectors.
+
+What We Offer:
+	•	In-Depth Analysis: Explore expert reports and comprehensive insights on Healthcare, Biotech, Medical Technology, Health IT, and the latest advancements in Life Sciences. Our analyses highlight groundbreaking startups and emerging trends that are shaping the future of care and innovation.
+	•	Spotlight on Innovation: Discover the potential of cutting-edge developments in areas like precision medicine, telehealth, digital therapeutics, and biopharma. AlphaFund sheds light on the startups and technologies revolutionizing healthcare delivery and patient outcomes.
+	•	Exclusive Content: Gain access to interviews with industry pioneers, success stories of venture-backed healthcare startups, and thought leadership that provides unparalleled perspectives on the industry.
+	•	Community Engagement: Join a network of investors, entrepreneurs, and biotech enthusiasts. Participate in thought-provoking discussions, webinars, and events that connect you with key players in the healthcare and biotech ecosystem.
+","About UsWe are building the next generation of Enterprise AI, transforming how organizations integrate machine learning into their workflows. Our platform delivers secure, scalable, and adaptable AI solutions, designed for industries that require high-performance computing, data security, and seamless enterprise integrations. As an early member of our engineering team, you’ll shape the backend architecture, define best practices, and directly impact our product roadmap.Your RoleAs a Founding Backend Engineer, you will be responsible for architecting and developing the core infrastructure that powers our AI-driven platform. You’ll work closely with our machine learning, DevOps, and frontend teams to ensure a robust, scalable, and efficient backend system.What You’ll DoArchitect & Build scalable backend services, APIs, and microservices.Optimize Performance to handle large-scale enterprise workloads efficiently.Ensure Security & Compliance to meet enterprise-grade security standards.Integrate AI & ML Models into backend systems for seamless data processing.Collaborate with Product & AI Teams to drive technical strategy and roadmap.Set Engineering Standards by establishing best practices in coding, testing, and deployment.Scale Infrastructure by designing cloud-native solutions on AWS/GCP/Azure.Lead & Mentor future engineers as we grow the team.What We’re Looking For5+ years of backend development experience, ideally in a high-growth startup or AI/ML-focused company.Deep expertise in Python, Go, or Rust (other modern backend languages are a plus).Strong experience with Cloud Infrastructure (AWS, GCP, or Azure).Proficiency in distributed systems, microservices, and API development.Hands-on experience with databases (PostgreSQL, Redis, or NoSQL alternatives).Knowledge of containerization & orchestration (Docker, Kubernetes).Familiarity with MLOps and AI model deployment (preferred but not required).Ability to thrive in a fast-paced, ambiguity-driven environment.Passion for AI, automation, and pushing the boundaries of enterprise software.Why Join Us?Ground-Floor Impact – You’ll shape the future of enterprise AI from day one.Equity & Competitive Salary – Meaningful ownership in a fast-growing AI company.Cutting-Edge Tech – Work with top engineers, AI researchers, and industry experts.Flexible & Remote Work – We believe in results, not micromanagement.Growth & Leadership – As an early hire, you’ll have the opportunity to lead, mentor, and grow within the company.Ready to build the future of Enterprise AI? 🚀 Apply now or reach out directly!",Mid-Senior level,Machine Learning Engineer
+103,2025-04-02,San Francisco,California,Asana,http://asana.com/,"Asana empowers organizations to work smarter. Asana is the only enterprise work management platform that connects company-wide goals, strategic initiatives, and the execution of work in one place. Asana has over 150,000 customers and millions of users in 200+ countries and territories. Customers like Amazon, Roche, and T-Mobile, rely on Asana to manage everything from goal setting and tracking to capacity planning, to product launches. For more information, visit www.asana.com. ","Asana is seeking an experienced and empathetic Software Engineer to join our AI Retrieval team. Working with the latest AI large language models and search technologies, you’ll work on the Retrieval Augmented Generation (RAG) system that powers Asana AI. You’ll design and implement systems that enable customers to get informative answers about their work stored in Asana, collaborating with other teams building AI features. We’re looking for an engineer who is passionate about AI, curious to learn about everything from vector search to prompt engineering, and willing to share what they learn to help their teammates grow and thrive.About The TeamAI Retrieval built and maintains Asana’s AI retrieval augmented generation system, which is foundational to Asana’s AI features. We harness a wide and growing range of technologies to retrieve data from anywhere in a customer’s Asana domain feed it into features ranging from Smart Chat to AI Studio, our workflow automation platform. Soon we’ll reach into other common SaaS tools to ensure that no matter where our customers store their data, we can give them the answers they seek.About Asana AI StudioAt Asana, we believe AI will fundamentally transform the way we work and live. We’re going beyond chatbots and integrating AI into everyday workflows for some of the biggest companies on the planet. Asana AI Studio is a no-code builder that enables teams to design and deploy AI agents directly within their workflows, automating repetitive tasks and enhancing productivity. Our AI teams move quickly, with a track record of successful launches, and we’re just getting started. If you believe in the potential of AI to make us more creative, effective, and fulfilled in our work, we'd love for you to join us.ResponsibilitiesBe a key contributor to our retrieval augmented generation platform, ensuring complex projects are delivered on-time and with high quality.Collaborate with product and design to create delightful user experiences that maintain Asana’s reputation for power and ease-of-use.Work with the leading LLM providers to leverage the latest AI technologies in order to serve our customers.Share your knowledge and experience with your teammates, fostering strong engineering practices and creating a culture of excellence.Experience growth through opportunities to stretch, learn, and shape the trajectory of AI at Asana.You might thrive in this role if you:Have 2+ years experience, working across the stack within large, well-maintained codebases.Have a track record of working with their team to scope and deliver impactful features..Are comfortable navigating ambiguity and taking on open-ended AI/product challenges.Engage with their teammates in a spirit of openness and curiosity.Find AI fascinating and are eager to use it to transform the way you work.Are an excellent communicator and cross-functional collaborator.At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.What We’ll OfferOur comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.For this role, the estimated base salary range is between $171,000 - $209,000 The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:Mental health, wellness & fitness benefitsCareer coaching & supportInclusive family building benefitsLong-term savings or retirement plansIn-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.About UsAsana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture . With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Asana upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations.",Mid-Senior level,"Software Engineer, AI Retrieval"
+104,2025-03-13,,,Hedra,http://www.hedra.com,"The next generation multimodal content creation platform, powered by Character-3 ✨
+
+careers @ https://jobs.ashbyhq.com/hedra
+","Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence.At the core of Hedra Studio is our Character-3 foundation model, the first omnimodal model in production. Character-3 jointly reasons across image, text, and audio for more intelligent video generation — it’s the next evolution of AI-driven content creation.Note: At Hedra, we’re a team of hard-working, passionate individuals seeking to fundamentally change content and build a generational company together. You should have start-up experience and be a self-starter that is driven to build impactful products that change the status quo. You must be willing to work in-person in either NYC or SF.Overview:We are looking for an ML Engineer with expertise in high-performance computing systems to manage and optimize our computational infrastructure for training and deploying our machine learning models. The ideal candidate will have experience with cloud computing platforms and tools for managing ML workloads at scale, supporting our 3DVAE and video diffusion models.Responsibilities:Design and implement scalable computing solutions for training and deploying ML models, ensuring infrastructure can handle large video datasets. Manage and optimize the performance of our computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed training. Ensure that our infrastructure can handle the resource-intensive tasks associated with training large generative models. Monitor system performance and implement improvements to maximize efficiency, using tools like Kubeflow for orchestration. Collaborate with the team to understand their computational needs and provide appropriate solutions, facilitating seamless model deployment. Qualifications:Bachelor’s degree in Computer Science, Information Technology, or a related field, with a focus on system administration. Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads. Knowledge of containerization tools like Dockerfile and orchestration tools like Kubeflow, crucial for deploying models at scale. Understanding of distributed training techniques and how to scale models across multiple GPUs or machines, aligning with video generation needs. Proficiency in scripting languages like Python or Bash for automation tasks, facilitating infrastructure management. Strong problem-solving and communication skills, given the need to collaborate with diverse teams. This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability.Benefits:Competitive compensation and equity401k (no match)Healthcare (Silver PPO Medical, Vision, Dental)Lunch and snacks at the officeWe encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team.",Entry level,Machine Learning Engineer
+105,2025-04-05,San Francisco,California,Substack,http://substack.com,"Substack is a new media app that connects you with the creators, ideas, and communities you care about most. Founded in 2017, Substack is building a new economic engine for culture by putting publishers in charge and enabling subscribers to support the work they deeply value.
+
+There are more than 5 million paid subscriptions to writers and creators across the Substack network.","OverviewAs a Machine Learning Engineer at Substack, you will play a crucial role in developing and implementing cutting-edge machine learning solutions to enhance our product offerings. You will be part of a small and dynamic team, collaborating closely with software engineers and data scientists, to bring machine learning models into our codebase and integrate them seamlessly into our products. This role offers an exciting opportunity to shape the future of our technology stack and make a significant impact.ResponsibilitiesLead Substack's thinking about ML adoption and integration of ML tools and techniquesCollaborate with cross-functional teams to identify and define machine learning opportunities that align with our product roadmapDevelop, train, and deploy machine learning models using Python and popular ML frameworksLeverage off-the-shelf ML tools and systems to accelerate Substack's ability to incorporate ML functionality into its product and workflows Integrate machine learning models and pipelines into our main TypeScript appOptimize and fine-tune ML models for performance, scalability, and efficiencyDesign and implement data pipelines for data preprocessing, feature engineering, and model trainingDeploy and own integrated product experiences and internal toolsRequirements5+ years of relevant experience with data and ML systemsStrong programming skills in Python and experience with Python libraries commonly used in machine learning (e.g. PyTorch)Solid understanding of machine learning algorithms, deep learning, and statistical modelingIndependent and autonomous. We're too small to micromanage, and expect that every person at the company owns their work and can be a leader.Hold yourself and others to a high standard when working on production systems.Enjoy collaboration with a diverse group of stakeholders while bringing your own unique experience and background to the teamNice to haveProficiency in Node.js for seamless integration of machine learning models into our codebaseFamiliarity with cloud platforms (e.g. AWS or Modal)Experience with consumer web applications at scale Substack's compensation package includes a market-competitive salary, equity, and exceptional benefits. Our cash compensation salary range for this role is $200,00-250,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.Substack is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity or transgender status), age, national origin, veteran or disability status. We're seeking people passionate about enabling independent expression and building a better business model for creators. If you want to see what media, communities, and content can become when unmoored from advertising models, and you have the skills and experience to contribute, we'd love to meet you.Please see our Privacy Notice for details regarding Substack's collection and use of personal information relating to the application and recruitment process by clicking here.",Entry level,Machine Learning Engineer
+106,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+107,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+108,2025-04-01,Palo Alto,CA,Glean,https://glean-it.com/glean,"Work AI for all. 
+
+The Work AI platform connected to all your data. Find, create, and automate anything.","About GleanWe’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work.We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. We’re a diverse team of curious and creative people who want to help each other get big things done—so we can help other teams do the same.We're backed by some of the Valley's leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.RoleGlean is looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems.What You Will Do And AchieveInvent new signals to improve the personalization of our search engineTrain a model to capture interactions between signals in our ranking systemDesign smarter ways to domain-adapt language models to each customer’s corpusDiscover new ways of combining LLMs with search engines to answer complex questionsWrite robust code that’s easy to read, maintain, and testMentor more junior engineers, or learn from battle-tested onesWho You Are2+ years of experienceBA/BS in computer science, math, sciences, or a related degreeExperience working with search, recommendation, natural language processing, or other large systems involving machine learningKey Knowledge And SkillsStrong analytical skills and ability to work with dataProven ability to design, build, and ship production-ready modelsProficiency in your ML framework of choiceStrong coding skills (Python, Go, Java, C++, ...)Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a mustA proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large featuresBenefitsCompetitive compensationMedical, Vision and Dental coverageFlexible work environment and time-off policy401kCompany eventsA home office improvement stipend when you first joinAnnual education stipendWellness stipendHealthy lunches and dinners provided dailyFor California Based ApplicantsThe standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.",Entry level,"Software Engineer, Machine Learning"
+109,2025-04-03,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTeam IntroductionOur Search Engineering Team is responsible for building and owning TikTok's search engine which can provide our users with the best search experience. In TikTok Search Team, you’ll have the opportunity to build full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. This Internship Program Runs For 12 Weeks Beginning In May/June 2025. Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.Online Assessment (Only for RD)Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.ResponsibilitiesThis internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to:Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP , CV and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility and usefulness of search results.QualificationsMinimum Qualifications: Currently pursuing a Bachelors or Masters in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Able to commit to working for 12 weeks during Summer 2025. Experience with coding in Python, Java, Golang, C#, or C++. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.Preferred Qualifications Graduating December 2025 onwards with intent to return to degree-program after the completion of the internship. Demonstrated software engineering or natural language processing, deep learning experience from previous internship, work experience, coding competitions, or publications. High levels of creativity and quick problem-solving capabilities.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $45- $45.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (search-TikTok.US)- 2025 Summer (BS/MS)
+110,2025-03-31,,,Samsung Semiconductor,https://semiconductor.samsung.com/,"Established in 1974 as a subsidiary of Samsung Electronics, we’re proud to be recognized as one of the leading chip manufacturers in the world.
+Using our knowledge in semiconductor technology, our ambition is to spark the imagination of device manufacturers with top-of-the-line building blocks and, through that, enrich the lives of people around the world with transformative solutions.","Please NoteTo provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.Advancing the World’s Technology TogetherOur technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.What You’ll Learn Project Overview: In this internship, the candidate will develop SOTA Parameter Efficient Fine Tuning (PEFT) methods and demonstrate them to work for both time series and computer vision foundation modelsSkills You’ll Learn:Algorithm development for PEFT methodsTest PEFT methods on Time series foundation modelsTest PEFT methods on Computer Vision foundation models What You’ll DoThe team (SDAL) is involved in developing Deep Learning Foundation Models and applying them in Samsung factories for problems related to anomaly detection, classification, segmentation, etc. More specifically, the interest is on two projects: (1) Large Time Series Model (LTM) and (2) Large Vision Model (LVM). The intern will be involved in both projects and will develop novel Parameter Efficient Fine Tuning (PEFT) methods, and demonstrate them to work efficiently on both projects. This will involve applying existing SOTA PEFT methods such as LoRA, SoRA, and to also improve them with novel developments.Location: Onsite at our San Jose, CA headquarters 5 days a weekReports to: Sr. Staff Machine Learning EngineerDevelop PEFT methods and demonstrate them to work efficiently in foundation modelsApply PEFT methods to Large Time Series Models (LTM) and Large Vision Models (LVM)Demonstrate these algorithms to work efficiently for anomaly detection, classification and segmentation and achieve pre-defined project KPIs. These algorithms will later be applied in Samsung’s factory in Korea and will help in improving the yield of production Collaborate with 3-4 other engineers at Samsung SSI’s San Jose, CA campus and the work will involve 5 days per week on-siteAlgorithm development using Python 3, PyTorch, CUDA, etc.Presentation and documentation of work at end of internship period (12 weeks) Complete other responsibilities as assignedWhat You BringPursuing Masters or PhD in Computer Science or Electrical Engineering preferred; other closely-related areas will also be consideredMust have at least 1 academic quarter or semester remainingGood working knowledge of Python 3 and Pytorch requiredPrior experience with training and evaluation of large Deep Learning models such as Transformers requiredPrior experience in LLMs, Vision Transformers, Time Series models or other foundation models preferredPrior publications in top-tier AI/ML conferences such as NeurIPS/CVPR/ICLR/ICML preferredYou’re inclusive, adapting your style to the situation and diverse global norms of our peopleAn avid learner, you approach challenges with curiosity and resilience, seeking data to help build understandingYou’re collaborative, building relationships, humbly offering support and openly welcoming approachesInnovative and creative, you proactively explore new ideas and adapt quickly to changeWhat We OfferThe pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role’s function and location, as well as the individual’s knowledge, skills, experience, education, and training.This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.Relocation Support Live 50+ miles away from your new office? No worries! We'll provide a stipend to help support your move.Housing Stipend Signing a lease on a new place for your summer internship? We'll help you pay your way with a monthly stipend.Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you’ll have support no matter where you are.Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.Hourly Base Pay Rate$28—$62 USDEqual Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.Recruiting Agency PolicyWe do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.Covid-19 PolicyTo help keep our employees, customers, and communities safe, we've developed guidelines for our team. Currently, we encourage vaccination for all employees and may require it depending on job functions (e.g., traveling for business, meeting with customers). While visiting our offices or attending team events, we ask employees to complete a daily health questionnaire and complete a weekly COVID test. Our COVID policies are subject to change depending on public health, regulatory, and business circumstances.Applicant Privacy Policyhttps://semiconductor.samsung.com/us/careers/privacy",Internship,"Intern, Machine Learning Engineer - PEFT"
+111,2025-04-09,Los Angeles,California,FORE Enterprise,https://www.foreenterprise.com,"FORE empowers operations leaders with data and analytics to pinpoint challenges across operations and performance. Then, align with key stakeholders by demonstrating these opportunities with objective, quantifiable reasoning. Skip the IT headache, directly to insights about your company and your competitors.
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+Unlock a goldmine of underutilized workforce data carefully formatted by FORE to drive Workforce decision making. Empower your Operations and People teams with cutting edge AI developed with experts in Operations, Data, and AI from Stanford, Wharton, and Kellogg. Go even further by integrating your organization's People data to more surgically diagnose key challenges and opportunities. Better manage your workforce with a detailed understanding of not only your own organization, but also key competitors, partners, and acquisition targets. 
+
+FORE is useful for Senior Executives, as well as leaders in People, Operations, and Finance. We've found success with clients across a range of industries including Retail, Healthcare and Hospitals, Financial Services, Media, and Education.
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+Let's start with a Pilot to demonstrate the power of the platform and drive initial change on a critical subset of your operations. From there we can expand our partnership and bring the full value of FORE to your entire organization. ","Please Apply HereAbout FOREWe’re a fast-growing, venture-backed startup building cutting-edge AI solutions for Private Equity firms and their portfolio companies across Technology, Media, Fashion, and Sports. Our team moves fast, collaborates closely, and thrives on solving tough problems with real impact.What sets us apart isn’t just the tech we build—it’s how we build it. We work with the latest advancements in AI and LLMs, but more importantly, we have the experience and drive to turn them into real, production-ready solutions. We trust each other, move fast, and take ownership, creating an environment where problem-solvers can thrive, grow, and make an immediate impact. We’ve doubled in size over the past year and are just getting started—now’s the time to join us and help shape what’s next.The RoleWe are seeking a ML Engineer with experience working with synchronized multi-camera systems and training models for action recognition.If you're excited about tackling data-heavy challenges with a flexible mindset, we’d love to hear from you.ResponsibilitiesDesign and develop machine learning models to recognize and classify movements using raw video or 3D skeletal data from multi-camera systemsImplement pipelines for creating training and evaluation datasetsExtract relevant features from skeletal sequences such as joint angles and trajectoriesEvaluate and benchmark hardware camera systems for performance and integration potentialConfigure camera synchronization, calibration, and 3D reconstruction pipelinesCollaborate with internal teams to define requirements for data accuracy, latency, and usabilityRequired QualificationsExperience training models using RNNs (e.g., LSTM/GRU), CNNs, Graph Neural Networks (e.g., ST-GCN), or Transformer-based architectures for time-series or spatial-temporal dataFamiliarity with human pose estimation, motion analysis, or action recognition.Experience with deep learning frameworks such as PyTorch or TensorFlowKnowledge of data preprocessing techniques: normalization, smoothing, augmentation, time alignment.Familiarity with model evaluation metrics relevant to movement classification (e.g., accuracy, F1-score, temporal consistency)Bonus QualificationsExperience calibrating multiple cameras to map to the same 3D coordinate systemFamiliarity with open-source pose estimation libraries (e.g., OpenPose, MMPose, MediaPipe, Anipose)Academic publications regarding action recognition Location, Compensation & BenefitsLocation: We are hiring for fully remote work with quarterly on-sites in Los Angeles (travel provided).Compensation: $75k - $135k, depending on experience.Equity: Opportunity for company equity.Benefits401(k) with employer matchHealth insuranceWhy Join Us?Level Up Your Skills: Work alongside top AI and NLP talent, including researchers from Stanford and Wharton, and tackle some of the most challenging problems in the field.Make an Impact: Take ownership of high-impact projects that solve complex, real-world problems—your work won’t sit on a shelf.Impactful Work: Get hands-on experience with diverse, high-impact projects.Flexible Environment: A small, adaptable team that values problem-solving and autonomy.If you're passionate about ML engineering and want to work on technically engaging projects, apply now!Company WebsiteCompany LinkedIn",Entry level,Machine Learning Engineer
+112,2025-04-09,Dublin,California,Articul8 AI,https://www.articul8.ai,"Articul8 AI is a technology company whose products transform enterprise data and expertise into powerful engines of growth, value and impact. Our full-stack GenAI platform is revolutionizing how enterprises harness their data and expertise to build expert-level Generative AI applications for their mission-critical challenges. Our products deliver enterprise-scale impact with ROI in hours to weeks. General-purpose GenAI models, while necessary, are not sufficient to deliver enterprise-specific decisioning and actioning. Our platform addresses this gap by making it straightforward for companies to build sophisticated, enterprise-scale and expert-level GenAI applications that encode their domain expertise. Our proprietary technology does the heavy lifting through autonomous decisions and actions, automated data intelligence, improved precision and relevance with industry knowledge encoded into Articul8's library of domain and task-specific models. We are purpose-built for regulated industries and meet the highest standards of compliance, data security, privacy and performance, including traceability and auditability at every step. We are trusted by leading global enterprises like AIAA, Itochu Techno-Solutions Corporation, Uptycs, AWS, NIQ, Intel and Franklin Templeton to transform their mission-critical work.
+
+We are the enterprise GenAI platform that simply works! For more information, please visit www.articul8.ai.","About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.Job Description:Artilcul8 seeking a highly motivated and talented Intern Machine Learning Engineer to join our team. As an Intern Machine Learning Engineer, you will have the opportunity to work on cutting-edge AI and machine learning projects, collaborating with our team of experienced engineers and researchers to design, develop, and deploy AI-driven solutions that solve real-world problems.Responsibilities:Design, develop, and deploy machine learning models and AI applications, with a focus on optimizing performance for production environmentsTrain, fine-tune, and optimize deep learning and large language models (LLMs) to achieve state-of-the-art resultsCollaborate with cross-functional teams, including data scientists, software engineers, and product teams, to integrate AI capabilities into applicationsEvaluate and implement new AI/ML algorithms and techniques to improve model accuracy and efficiencyWork with large-scale datasets, ensuring data quality, preprocessing, and feature engineeringOptimize models for cloud and on-prem environments, ensuring low latency and high availabilityDevelop APIs and microservices to serve AI models in productionStay up to date with the latest AI trends, research, and best practices, and apply this knowledge to improve our AI solutionsRequirements:Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, AI, Machine Learning, or a related fieldStrong programming skills in Python or PyTorchExperience with machine learning frameworks, such as TensorFlow or PyTorch, and large language models (LLMs)Familiarity with data preprocessing, feature engineering, and model evaluation techniquesExperience with cloud platforms, such as AWS, GCP, or Azure, and containerization (Docker, Kubernetes)Strong problem-solving and analytical skills, with the ability to break down complex problems into manageable componentsExcellent communication and teamwork skills, with the ability to work effectively in a collaborative environmentNice to Have:Experience with multi-cloud AI deployments and generative AIFamiliarity with distributed computing frameworks, such as Spark or RayExperience with edge AI or AI model compression (quantization, pruning)Prior experience working on AI SaaS platformsWhat We Offer:The opportunity to work on cutting-edge AI and machine learning projects with a talented team of engineers and researchersA collaborative and dynamic work environment that encourages innovation and creativityProfessional development opportunities, including training and education programs, to help you advance your skills and careerA competitive internship package, including a stipend and other benefitsProfessional Attributes:Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer:By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you.In addition to our competitive salary and benefits package, we offer a range of perks and programs designed to help you succeed, including:Professional development opportunities, including training and mentorship programs Flexible work arrangements, including remote work options Access to the latest technologies and tools Regular social events and team-building activities A supportive and inclusive work environment If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.",Internship,Intern - Machine Learning Engineer
+113,2025-03-25,New York,NY,Cadent,http://www.cadent.tv,"Cadent powers the evolution of TV brand advertising. We provide marketers, agencies, operators, and media owners with data-driven solutions for buying and selling TV advertising. By connecting brands with opportunities across national inventory sources—cable, broadcast, and digital media—our technology improves efficiencies and boosts the results of linear, addressable, and cross-screen campaigns. For more information, visit cadent.tv.","Cadent powers the evolution of TV brand advertising. We provide marketers, agencies, operators, and media owners with data-driven solutions for buying and selling TV advertising. By connecting brands with opportunities across national inventory sources—cable, broadcast, and digital media—our technology improves efficiencies and boosts the results of linear, addressable, and cross-screen campaigns. Right now, we are looking for a highly motivated Machine Learning Engineer who will be responsible for powering our Data Science department by scaling, deploying and managing advanced machine learning models. This will entail architecting and implementing big data solutions, data and model governance solutions, and implementing software development best practices. Machine Learning Engineers will collaborate directly with the Business, Product, Data Engineering, Data Science and QA team members to productize AI/ML research to drive business growth. Output from this role will be leveraged by business, engineers and by senior executives to define the future of Cadent.What you will do:Scale, Deploy, Maintain, and Monitor Advanced Machine Learning Models:Transform models provided by data scientists into production-ready products capable of running efficiently on full volume datasets. Leverage tools to automate retraining, deployment, and code quality checks. Establish, implement, and monitor business KPIs of model and infrastructure efficacy.Architect Multi-Cloud Big Data Solutions:Design and develop infrastructure to process and store data at massive scale across GCP and AWS using IaC and SDKs. Analyze and optimize resources to adhere to governance, monitoring, and compliance policies. Work closely with DevOps, CloudOps, NetOps, SRE, and FinOps to implement solutions that are secure, reliable, and cost-effective.Design Data Governance and Model Governance Solutions:Ensure transparency for operations and leadership regarding our data, processes, and models. Design and develop solutions to store, analyze, and report on key metadata for source datasets, derived datasets, and code.Drive Business Impact through Cross-Functional Collaboration:Collaborate with various teams, including software engineers, product managers, data scientists, data engineers, and several operations teams to identify and prioritize machine learning opportunities. Quantify the impact of ML models and drive engineering decisions that maximize business value and operational efficiency.Set and Enforce Development Best Practices using TDD, V&V, and CI:Collaborate with data scientists and engineers to establish standards and guidelines for quality, reliability, and performance of machine learning services. Stay updated on the latest advancements in software engineering, data engineering, ML engineering/ops, and cloud computing to ensure that Cadent keeps pace with evolving technologies. Provide guidance for Sr., mid-level, and associate MLEs on the team.What you will need:Education and Relevant Job Experience:At least 5 years of relevant experience with a M.S. in Statistics, Math, Operations Research, Physics, Finance, Economics, Engineering or similar fields, or 7 years of relevant experience with B.S. in similar fields.Multi-paradigm Programming Expertise:Extensive experience writing object-oriented, imperative, and declarative programs. Advanced proficiency in Python and SQL. Professional experience in a low-level programming language such as Rust, Golang, C++, C#, Java, or Scala is highly preferred.Cloud Infrastructure Expertise:Candidates should have extensive experience in developing and managing cloud-based solutions, particularly on AWS or GCP platforms. Hands-on experience with Terraform or Boto3 and/or Google Cloud Client Libraries for implementing infrastructure as code (IaC) is mandatory. Enthusiasm, Ownership and Curiosity:The ideal candidate is someone who independently seeks solutions to challenges, takes full responsibility for their projects, and continually explores emerging technologies, tools, and practices to stay at the forefront of technological advancements.Verification and Validation Expertise:Accuracy in data and code, along with strict adherence to specified requirements, is crucial. Candidates should be well-versed in Test-Driven Development (TDD) and verification and validation (V&V) best practices.Excellent Communication Skills:Effective communication with a diverse range of stakeholders within the data ecosystem, including product owners, data scientists, and engineers, is crucial. Candidates must be adept at distilling complex technical concepts for non-technical audiences and articulating technical requirements to colleagues across various departments.If the leading edge of media technology is the place you want to be, please contact us today and let’s start the conversation!Cadent is an Equal Opportunity Employer and is committed to supporting all it’s employees when it comes to Inclusion & Diversity. Cadent’s policy is to provide equal opportunity for applicants & employees without regard to race, color, religion, creed, gender, gender identity or expression, sexual identity or orientation, age, national origin or ancestry, citizenship, disability or medical condition (including pregnancy, childbirth, or related medical condition), sexual and reproductive health decisions, genetic information, marital status (including domestic partnerships and civil unions), pregnancy, culture ancestry, familial or caregiver status, military status, veteran status, socioeconomic status, unemployment status, status as a victim of domestic violence or any other basis prohibited by law. and will not discriminate against the basis of disability. This commitment is honored when it comes to decisions on hiring, recruiting, training, promotions, compensations, benefits, transfers and terminations.  Cadent is seeking to actively engage with our employees from a wide variety of cultures and to connect with our clients differently. Our workforce has generational diversity that supports greater innovation when we maximize representation of all diversity. Our active employee resource groups promote engagement across all groups of individuals that are represented within the company and externally",Associate,Machine Learning Engineer
+114,2025-04-01,Sunnyvale,CA,Wanderboat AI,https://www.wanderboat.ai,"Wanderboat AI builds technologies that leverage deep search and generative AI to help people reconnect with the world. Explore, plan and share, your personalized AI companion starts from here!","We're hiring MLE with Search or Feeds/Recommender system background.Job DescriptionWe're looking for engineers with a background in Machine Learning, Deep Learning and Generative AI. They will play a key role in driving algorithmic improvements to search and recommendation systems. They will develop and deliver robust and scalable solutions to continually improve our KPIs to delight our consumers.Key ResponsibilitiesImprove our search and recommendation systems by building production machine learning models.Fine-tune state-of-the-art generative models like Deepseek, Llama, Mistral, and others.Process large amounts of data with strong engineering skills.Find insights from data, be data-driven, produce actionable and trustworthy conclusions.QualificationsBachelor’s or above degree in Computer Science or Computer Engineering.Proven experience as a Machine Learning Engineer or similar role, in search, recommendation or Ads area.Experiences about applying machine learning, deep learning or GenAI technologies on search retrieval, ranking or feed/Ads ranking.In-depth practice in query parsing, content understanding, recall, relevance, ranking, RAG, etc.Experience with Elastic Search is preferable.Have knowledge of LLM fine-tuning and related experience is preferable.Understand machine learning and related algorithms, with the ability to apply technologies such as natural language processing, computer vision to solve complex and challenging problems.Strong programming skills in Python, Go or C++.Strong communication and teamwork abilities.",Entry level,Machine Learning Engineer
+115,2025-02-21,Austin,TX,Outdoorsy,https://www.outdoorsy.com/about/outdoorsy-group,"The Outdoorsy Group is a travel and hospitality company that integrates marketplace technology, insurance, and real estate to create unforgettable outdoor experiences.
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+We're on a mission to restore people's relationship with the outdoors and each other by solving foundational human problems and creating lasting memories through exceptional outdoor experiences.
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+Our lines of business include:
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+Outdoorsy.com, the world's leading outdoor travel marketplace. We connect guests with P2P RV rentals and professionalized businesses offering RVs and campgrounds. We operate globally in 14 countries, with North America as our strategic focus.
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+Our insurance company Roamly.com provides specialty insurance solutions, ensuring peace of mind. Roamly's AI-driven enterprise platform also supports other marketplaces.
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+Outdoorsy Stays owns and operates campgrounds and glamping sites in iconic locations, providing exclusive experiences and seamless integration with Outdoorsy.com.
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+","About Outdoorsy GroupOutdoorsy Group is the leading outdoor travel and digital insurance platform, powering road trips, adventure stays, and innovative insurance solutions. With a profitable business, $3B in gross transactions, and a vision to reach $8B by 2029, we are investing in AI to enhance our marketplace, operations, and customer experiences.About The RoleWe are seeking Machine Learning Engineers and Data Scientists to develop and deploy AI models that drive automation, improve decision-making, and create seamless customer experiences. This role will play a critical part in shaping the AI foundation of Outdoorsy's marketplace and Roamly's digital insurance platform and product solutions.We are prioritizing candidates who currently live in or are willing to relocate to the Austin, TX Metro area to work from our office. While we are focusing on local talent, on rare occasion we may consider exceptional candidates from other locationsRequirementsKey Responsibilities:Design, develop, and deploy machine learning models to enhance search, pricing, fraud detection, personalization, and customer support automationBuild scalable data pipelines and infrastructure to support AI applicationsWork with structured and unstructured data to develop predictive and generative AI modelsCollaborate with product managers, engineers, and business teams to integrate AI solutions into production systemsContinuously optimize models for accuracy, speed, and efficiencyStay current with the latest advancements in AI/ML and apply best practices to our business challengesWhat You Bring:5+ years of experience in machine learning, data science, or a related fieldProficiency in Python, TensorFlow, PyTorch, or other ML frameworksExperience building, training, and deploying ML models at scaleStrong understanding of data engineering, feature engineering, and MLOpsExperience working with large datasets, cloud platforms (AWS, GCP, Azure), and databasesFamiliarity with LLMs, recommendation systems, or predictive analytics is a plusWhy Outdoorsy?Opportunity to apply AI/ML in a fast-growing, profitable marketplace and insurtech businessWork on cutting-edge AI challenges in travel, mobility, and insuranceCollaborate with a passionate team in a high-impact roleCompetitive salary, equity, and benefitsJoin us and help shape the future of AI at Outdoorsy!BenefitsBenefits & Perks:Opportunity to contribute to a high-growth, mission-driven companyCompetitive salary and equity in one of the world's fastest-growing companiesComprehensive health and welfare benefits401(k) match to help secure your futureFlexible PTO to promote work-life balanceSalary: $165,000 - $185,000/yr DOE",Mid-Senior level,Machine Learning Engineer
+116,2025-01-17,San Francisco,CA,Aura Intelligence,https://www.getaura.ai/,"Aura Intelligence is a premier platform for Organizational Decision Intelligence (ODI). We empower organizations to transform fragmented workforce and competitive data into actionable insights, driving smarter, faster, and more effective decisions. By delivering real-time analysis of hiring trends, workforce dynamics, skills evolution, and competitive benchmarks, we enable consulting firms, private equity, and enterprises to optimize strategies, mitigate risks, and achieve superior outcomes.
+
+Founded within Bain & Company and now an independent powerhouse, Aura Intelligence is redefining how businesses leverage workforce analytics to thrive in a rapidly changing world.
+
+Learn more at www.getaura.ai.","We are seeking a skilled Machine Learning Engineer to join our growing MLOps team. In our fast-paced startup environment, you'll work closely with our data scientists and data engineers to productionize models and build robust, scalable classification systems. You will have the autonomy to drive the evolution of our ML infrastructure—from development through deployment—and make a direct impact on our product's success.Key Responsibilities:  Develop and Optimize ML Pipelines:Write efficient, clean, and maintainable Python code to implement machine learning pipelines for various classification projects. Ensure these pipelines meet production-grade standards for performance and scalability. Production Deployment:Deploy and optimize diverse classification models—including cross-encoders, bi-encoders, transformers, and custom PyTorch networks—ensuring effective GPU/CPU resource management, memory optimization, and scalability tuning. End-to-End System Ownership:Take full responsibility for deployed ML systems, including incident response, performance monitoring, and ongoing quality maintenance with minimal supervision. Data Integration and Analysis:Collaborate with the data engineering team to analyze model inputs/outputs, validate predictions, and explore potential feature improvements using SQL. MLOps Infrastructure & CI/CD:Build and maintain robust, extensible, and reproducible MLOps infrastructure. Establish and manage CI/CD pipelines, and set up observability for system metrics, logs, and alerts. Collaboration and Continuous Improvement:Contribute to technical design discussions, help break down implementation tasks, and address technical debt as needed. Work cross-functionally with both engineering and data science teams to continuously refine our deployment processes.Day-to-Day WorkYou'll be responsible for implementing and maintaining the classification systems that form the backbone of our data platform. This includes:Translating research models into production-ready codeDeveloping and optimizing inference pipelinesManaging compute resources and scaling solutionsResponding to and resolving production incidentsCollaborating with data scientists to improve model deployment efficiencyWriting and analyzing SQL queries to monitor model inputs/outputs and validate prediction quality. We're looking for someone who can work independently and take ownership while maintaining high standards. You'll have a real impact in shaping our MLOps practices and building scalable ML systems that matter. If you're passionate about turning ML research into production-ready solutions and care about writing quality code, we'd love to hear from you.RequirementsExperience:5+ years of hands-on experience in ML engineering or related roles with a PhD. 7+ years of experience otherwiseStrong expertise in NLP methods and tools (transformers, BERT, GPT, LLM)Proven track record in entity resolution and large-scale data integration challengesExtensive production experience in MLOps (AWS, Snowflake, or similar cloud platforms)Proficiency in Python, PyTorch, TensorFlow, or equivalent ML frameworksPreferred Qualifications Technical Skills:Strong proficiency in Python and production-grade software developmentSolid understanding of GPU acceleration, resource optimization, and scalable ML inference pipelinesStrong SQL skills and experience with data warehousesFamiliarity with AWS (particularly S3) and broader cloud computing concepts DevOps & Testing:Experience setting up observability (metrics, logging, and alerting) for ML systemsProficiency with CI/CD practices and testing frameworks (pytest for unit, integration, and model evaluation testing)Knowledge of version control (Git) and best practices in documentation Problem-Solving & Communication:Excellent problem-solving skills with a proven ability to debug complex production issuesStrong communication skills to effectively collaborate with both technical and non-technical team membersExperience with containerization (e.g., Docker) and orchestration platforms (e.g., Kubernetes)Familiarity with serverless compute platforms (e.g., Modal) and workflow orchestration tools (e.g., Dagster)Knowledge of additional classification models (e.g., XGBoost, FastText) and broader data engineering conceptsUnderstanding of data versioning, experiment tracking, and model registry practicesExperience with observability platforms (e.g., Datadog) and data warehouses like SnowflakeExperience working with LLMs in production",Mid-Senior level,Machine Learning Engineer - MLOps Team
+117,2025-03-07,New York,NY,Bask Health,https://Bask.Health,"Bask, the platform for telehealth, is a compliant, everyone accessible, no-code, software to launch and scale a direct-to-consumer telehealth business. By default, we provide electronic medical records (EMR), payment processing, pharmacy fulfillment and compounding, a website builder, and a patient management system. We are the Shopify for E-Prescribing. ","Bask Health is at the forefront of the health-tech industry, providing personalized healthcare experiences through advanced, user-friendly technology. Our platform serves as a launchpad for entrepreneurs, doctors, physicians, and influencers in the DTC telehealth sector.RequirementsWe are looking for a skilled Machine Learning Engineer to become a key player on our team. The successful candidate will be passionate about crafting sophisticated machine learning models and AI-powered solutions. In this role, you'll tackle a diverse range of projects, and work closely with cross-functional teams to seamlessly integrate AI into our products and services.BenefitsBask Health is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.",Entry level,Machine Learning Engineer
+118,2025-02-27,San Francisco,CA,Storytime,http://www.storytime.land,Building the future of storytelling,"We're looking for a machine learning expert with significant experience implementing and optimizing generative models to help build and scale Storytime's synthetic media creation tools. You will be responsible for researching, implementing, and improving state-of-the-art methods in machine generation of images, video, speech, and music. You’ll work closely with Storytime’s founders to innovate new approaches to media synthesis and develop clear, achievable technical roadmaps. You'll also work with other engineers and artists at Storytime to make this inspiring technology accessible and fun to use.Preferred ExperienceDeep knowledge of and practical experience with generative models (GANs, VAEs, Transformers, etc.), especially for image/video/audio generation and manipulationFluency in Python and common deep learning software frameworks, esp. PyTorchStrong programming skills and ability to implement methods in research papers accurately and efficientlyBonus PointsMS or PhD in machine learning, computer science, or related field2+ years practical experience with state-of-the-art methods in speech synthesis (e.g, text-to-speech, voice conversion) and/or image generation (VQGAN, StyleGAN, diffusion models)Experience optimizing model inference speed and performance for deployment on compute-restrained GPUs (e.g., mobile devices)Experience developing and maintaining large-scale data-processing pipelinesFamiliarity with cloud-based compute infrastructure, esp. Google Cloud Platform",Entry level,Machine Learning Engineer
+119,2023-11-21,San Francisco,California,Kaedim,https://www.kaedim3d.com,"Kaedim's machine learning and in-house art team combine to deliver production-quality assets in minutes.
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+Kaedim specialises in developing cutting-edge Machine Learning algorithms for transforming images into digital 3D models. Our primary focus is serving game developers, offering a 10x speedup in their 3D asset production pipelines.","Hi there! My name is Konstantina, I’m the founder of Kaedim. The inspiration for starting Kaedim came back in 2019 when I took a 3D modelling and a 3D animation course at university while studying Computer Science. I remember thinking, “How hard can it be?” The answer turned out to be: very.From trying to address my own frustration, fast forward four years later:we are helping hundreds of game, product design, and e-commerce companies accelerate their 3D asset production pipelines in their daily work.We are supporting one of the top 10 games of all times as well as the largest e-commerce platform.we are profitable since 9 months post-launchwe have raised our Series A from tier 1 Silicon Valley investorsThe problem we are working towards solving is incredibly hard, but it’s what makes our work unique and rewarding. We are building Kaedim one day at a time and looking for ambitious people to join our mission. If you're driven and ready to solve complex problems, Kaedim is the place for you!Here is how we work: GitHub link.Check out our recent demo and our website.Please Note: The salary ranges provided above are specific to San Francisco. Below are the corresponding salary ranges for other locations, based on 0-5 years of experience:London: £45k – £80kSingapore: S$80k – S$145kFor Working With Us YouMust be eager to be involved with both AI and product dev.Must have done this before, or be willing to learn fast.Must be customer driven. We think customers first and so should you.Must be driven to go above and beyond.Must be able to explain and communicate clearly.Must be able to work autonomously.Must want to work hard.Must be a strong communicator, capable of justifying decisions, proposing new ideas and explaining ML concepts to the rest of the teamResponsibilitiesComing up with solutions to hard problemsMaking proof of conceptsComing up and implementing improvements on existing ML algorithmsBringing other team members up to speedReport on key ML-related KPIsIterate based on customer feedbackNice to havesExperience with 3D modelling would be a big plus",Entry level,Machine Learning Engineer
+120,2025-03-07,Shenzhen,Guangdong,OPPO,http://www.oppo.com/en,"Founded in 2004, OPPO is one of the world's leading innovators of smart devices. With operations in over 60 countries and regions, OPPO's more than 290,000 points of sales and 1,900 official service centers share the beauty of technology with users all over the world. To forward our vision of a better future, OPPO has established ten smart manufacturing facilities around the world, as well as a global design center in London. Every day, our 40,000 employees put their heart and soul into exploring the possibilities of humanistic technology.
+OPPO is not just a device maker. We are a technology company that combines hardware with software and services. Our software range, built around the ColorOS operating system, makes devices more user-friendly and intelligent for our 500 million users worldwide. The OPPO App Market, OPPO Cloud also deliver smarter, more convenient, and better-connected services.
+Moving forward, OPPO will remain committed to our mission of ""Technology for Mankind, Kindness for the World."" We will continue to pursue innovation in the smart themes of learning, productivity, entertainment, and healthcare to meet the needs of people around the world. Constantly seeking technological breakthroughs. 
+Make your moment with OPPO.","About the Role:Join OPPO's core team to develop industrial-scale machine learning systems impacting millions of users. You'll tackle trillion-scale data challenges while balancing user experience and business monetization goals.Key Responsibilities: Business Impact through Algorithms Optimize recommendation/advertising systems using ML techniques to simultaneously enhance user engagement and revenue growth Conduct rigorous A/B testing and causal inference analysis to validate improvements  Large-Scale Feature Engineering Design and implement feature pipelines processing trillion-scale user behavior data Develop innovative feature representation methods for industrial recommender systems  Deep Learning System Optimization Architect neural network models balancing computational efficiency and predictive performance Innovate in ranking algorithms through model architecture improvements and multi-objective optimizationRequirementsMinimum Qualifications:Pursuing BS/MS in Computer Science, AI, Mathematics, or related technical field Strong understanding of ML fundamentals: bias-variance tradeoff, regularization, ensemble methods Proficiency with Python and ML frameworks (PyTorch/TensorFlow) Experience building data pipelines with SQL/Pandas/SparkPreferred Qualifications:4+ month full-time availability (priority given to candidates available for summer + fall) Hands-on experience with recommender systems through: Industry projects (ranking algorithms, CTR prediction) ML competitions (Kaggle Grandmaster preferred) Research publications (RecSys, KDD, WWW conferences) Familiarity with big data tools: Hadoop, Spark, Yarn BenefitsOPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.The US base salary range for this full-time position is $30-$60/hour. Our salary ranges are determined by role, level, and location.",Internship,2025 Machine Learning Engineer Intern
+121,2025-03-25,West Hollywood,California,Tinder,https://www.lifeattinder.com/,"You've heard of us.
+
+Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 100 billion matches, serving over 47 million users per month in 190 countries and 45+ languages -  a scale unmatched by any other app in the category.
+
+Awards? Check. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, ""It Starts with a Swipe™,"" and eight awards from Comparably, including Best Engineering Teams, Best Product & Design Teams, and Best Career Growth. Rounding out this award-winning year, Built In named us Best Place to Work in the U.S., Los Angeles, and San Francisco. Over the years, we’ve received over 50 company awards for our benefits, diversity, compensation, and career growth opportunities. And we’re proud of that.
+
+Want to know more? Check out available roles and see what your life at Tinder could be: https://www.lifeattinder.com/","Our MissionLaunched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™""Our Values One Team, One DreamWe work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own ItWe take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop LearningWe cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark SolutionsWe’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our DifferencesWe are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high—making the level of impact each engineer gets to have at Tinder enormous.Our ML team is responsible for the development of machine learning algorithms and systems for recommendations at Tinder. Recommendation algorithms directly determine potential matches on Tinder and optimize the entire ecosystem to drive critical business metrics. You'll have a unique opportunity to join a company with a global footprint while working on a team that’s small enough for you to feel the impact each day. Where you'll work: This is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA. Our ValuesOne Team, One Dream: We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission Own It: We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence Never Stop Learning: We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improvingSpark Solutions: We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences: We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our teamIn this role, you will:Apply state-of-the-art machine learning techniques, including deep learning, reinforcement learning, causal inference, and optimization, to enhance our foundational recommendation modelsLeverage your expertise to deliver highly personalized and curated recommendations tailored to our users' preferencesDevelop algorithms that optimize our complex ecosystem to meet multiple disparate objectivesDesign and implement cutting-edge machine learning algorithms using deep learning frameworks and distributed data processing frameworks such as SparkWork with big data (handling 1.6B+ user swipes per day) to improve the accuracy and relevance of recommendationsCollaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectivesYou’ll need:5+ years of professional experience in relevant fieldsHands-on experience in designing and building large-scale recommendation systemsIn-depth knowledge of deep neural networks, particularly in the recommendations domainProficiency in deep learning frameworks such as TensorFlow, Keras, etc.Proficiency in Python, Java, Scala, or similar programming languagesPhD or MS in machine learning, computer science, statistics, or another highly quantitative fieldNice to have: Experience with causal inference and reinforcement learningExperience with solving machine learning problems in multi-sided marketplacesExperience with big data frameworks such as SparkDemonstrable experience in designing and implementing large-scale ML systems with low latency servingA strong record of publications in top conferences such as NeurIPS, ICML, and KDDA deep understanding of the scientific theory behind machine learning techniquesAs a full-time employee, you’ll enjoy:Unlimited PTO (with no waiting period), 10 annual Wellness DaysTime off to volunteer and charitable donations matched up to $15,000 annually Comprehensive health, vision, and dental coverage100% 401(k) employer match up to 10% Employee Stock Purchase Plan (ESPP)100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocationInvestment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional developmentInvestment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidyFree subscription to Tinder GoldCommitment to InclusionAt Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/deiIf you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.#TinderThe salary range for this position is $205,000 - $260,000.  Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.",Mid-Senior level,"Sr. Software Engineer, Machine Learning"
+122,2025-04-07,Brooklyn,NY,Etsy,http://www.etsy.com,"Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. Etsy Inc. employees – whether a team member of Etsy, Reverb, or Depop – tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
+
+Founded in 2005, Etsy is headquartered in Brooklyn, NY with additional offices in Dublin and Mexico City. As of December 31, 2023, our marketplaces connect 9 million active sellers – including 7 million on Etsy.com, 80% of whom are women – and 96 million active buyers in nearly every country in the world. In 2023, we facilitated over $13 billion in transactions.","Company DescriptionEtsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.Salary Range$153,000.00 - $199,000.00What’s the role?Etsy is hiring a Machine Learning Engineer to join the Inventory team. Our team develops custom machine-learning models that can drive product vision and customer impact. We’re a cross-functional group of engineers, machine learning scientists, and product managers, and we interface with a diverse set of staff, ranging from data scientists, designers, product facing engineers, managers, and more! As an engineer on our team, you will play a major role in improving the shopping experience for millions of Etsy buyers and the selling experience for millions of etsy sellers. We are looking for individuals who are product and delivery-driven, and are passionate about using modern ML solutions to improve our understanding of Etsy’s diverse inventory to improve Etsy for both buyers and sellers.This is a fantastic opportunity for someone interested in building state-of-the-art ML systems for a two-sided marketplace with 90+ million buyers, 6+ million sellers, and hundreds of millions of unique, handmade, vintage listings.This is a full-time position reporting to the Engineering Manager, Inventory. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here.What’s this team like at Etsy?Here’s a taste of the problems we’re solving:Inventory UnderstandingWhat are some measurable, scalable, and meaningful proxies for quality?How can we better categorize and tag items to enhance discoverability?How do we measure the uniqueness of our sellers' one-of-a-kind items?How can we understand the level of effort a seller puts into creating their unique products?What role does pricing play in the perceived quality of listings?Etsy Product ExperienceHow can we help our sellers improve their listings, including titles, descriptions, and images?How can we use reviews to quickly identify when product issues arise?How can we enhance the onboarding process for new sellers regarding listing best practices?How can we integrate this new understanding into delivering meaningful improvements to our product experience?What does the day-to-day look like?Collaborate with engineering teams to share ideas and discuss model capabilities with product managers.Implement the latest advancements in machine learning to enhance buyer and seller experiences on Etsy.Develop, optimize, and deploy large-scale machine learning models to achieve key outcomes.Run A/B tests to evaluate the effectiveness of machine learning powered products.Partner with product managers, ML engineers, full-stack engineers, and designers to deliver content to millions of users.This is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.Qualities that will help you thrive in this role are:You collaborate and communicate effectively with teammates and cross-functional partners.You have a proven track record of using machine learning techniques to solve real-world problems, including expertise in fields such as natural language processing, image processing, reinforcement learning, deep learning, multi-modal learning, or large language models.You quickly learn new technologies and strategically integrate them into existing workflows, while also being proficient in databases, SQL, and scripting languages.You have experience in training, deploying, monitoring, debugging, and iterating on production machine learning systems, demonstrating your ability to apply statistical techniques to real-world challenges.You have successfully taken projects from design to delivery, both independently and as part of a team, and you produce clear, testable, and maintainable code.You are mindful of the impact your work has on end users.Additional InformationWhat's NextIf you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.Our PromiseAt Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.",Mid-Senior level,"Machine Learning Engineer II, Inventory"
+123,2025-04-01,Redmond,Washington,Microsoft,https://news.microsoft.com/,"Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. 
+
+Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.","Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.As a Software Engineer on AI and/or ML projects you will develop software, tools, and code to be used in support of design, infrastructure, and technology platforms including large and small language models (LLMs/SLMs). This opportunity will allow you to create and implement extensible and maintainable code and prompts for a product, service, or feature. You will partner with stakeholders to determine user requirements for a feature and consider a variety of feedback channels to incorporate insights into future designs or solution fixes. You will collaborate with others to create a clear and articulated plan for testing, assuring quality of solutions, while applying knowledge of debugging tools, logs, telemetry, and other methods to proactively flag issues. This opportunity will allow you to learn about customer scaling requirements and the application of best practices for meeting scaling needs and performance expectations, while ensuring the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. You will also consider the impact of AI technology, including applying Microsoft’s responsible AI practices.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.Please note this application is only for roles based in our Redmond, Washington office and/or roles that are not tied to a specific Microsoft office location. For roles in other offices in the United States, please see our Careers site. ResponsibilitiesLearns to review and break down work items into tasks with stakeholder collaboration, provide estimations, and escalate delays, while also supporting feature deployments to customers, considering user and service impacts, and adhering to best deployment practices for safety.Collaborates with key stakeholders to define feature requirements, integrates feedback to enhance design, and establishes feedback loops for continuous improvement based on customer metrics.Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions. Specifies or implements AI platform improvements like fine-tuning or training custom ML models.Learns and applies coding standards and best practices through code reviews, developing maintainable and extensible code with guidance. Utilizes debugging tools to proactively and reactively address issues in product features, ensuring code quality and reliability.Supports the identification of dependencies and design documentation for product features, learns about system interactions and back-end dependencies, and contributes to architectural processes under guidance. Produces code to test hypotheses for technical solutions and assist with technical validation efforts. Collaborates on quality assurance plans, augments test cases, and integrates automation into testing, while understanding the implications of security and compliance in system architecture.Contributes to data analysis and feedback integration for product engineering decisions, acting as a Designated Responsible Individual (DRI) for monitoring and restoring system functionality within Service Level Agreement (SLA) timeframe. Participates in live service operations, and supports telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety.Develops and applies best practices for reliable code building, understands global and local regulations, customer scaling requirements, and support communication with key partners across Microsoft for user experience enhancement and partner needs.Ensures compliance with security, privacy, safety, and accessibility standards, leverages developer tools for code creation and debugging, contributes to automation in production and deployment, and proactively seeks knowledge to improve product availability, reliability, efficiency, and performance at scale.Understands and applies Microsoft’s responsible AI practices to ensure systems meet our commitments to our customers.QualificationsRequired QualificationsBachelor's Degree (or currently pursuing a degree) in Computer Science or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.OR equivalent experience. Preferred QualificationsBachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.OR Master's Degree (or currently pursuing a degree) in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.Demonstrated interest in AI/ML technologies. Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $81,900 - $160,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $105,600 - $174,600 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay.Microsoft will accept applications and process offers for these roles on an ongoing basis.Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.",Not Applicable,"Software Engineer - AI/ML, Multiple Locations"
+124,2025-04-05,San Francisco,CA,Lightfield,http://www.lightfield.app,A new kind of CRM.,"About LightfieldLightfield is a new kind of CRM.It's a collaborative system for founders to find, understand, and serve customers faster than anything before it.It captures every customer interaction, generates and performs followup actions, and answers questions about your go-to-market using knowledge obtained in real time.Our system is tuned and customized by a team of experienced sellers, engineers, and researchers. Many of us worked on large-scale products including Llama, Messenger, Instagram, Pinterest, and Linkedin before this.Lightfield.appAbout The RoleLightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers.Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMs.We’re inspired by the challenge of creating innovative new AI products for people doing serious work, and we’re looking to grow our AI/ML team to meet that challenge.What You'll DoCreate and ship magical, highly-differentiated AI experiences that sales teams are eager to useCraft Lightfield's AI/ML strategy in tight collaboration with founders and execsIdentify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutionsPrototype innovative, LLM-powered experiences, and drive their development into robust product featuresHelp build a world class AI/ML engineering team by recruiting and mentoring teammatesWho You AreYou have a BS or MS degree in CS, AI, or applied mathYou have 5+ years of experience building AI/ML based products in NLP domainsYou have a strong understanding of deep learning AI/ML frameworks or cloud servicesYou have hands-on ML Ops experienceBonus PointsExperience leading AI/ML product initiativesPublications in applied AI/ML scientific journalsExperience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)Compensation Range: $180K - $270K",Entry level,Machine Learning Engineer
+125,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOur team is responsible for developing next-generation chatbot and machine translation solutions to improve the TikTok Shopping experience across the world. We are currently looking for talented engineers that have a deep understanding of natural language processing and machine learning, especially ones with solid skills and experience of large language models, machine translation, and conversational AI.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities You will be responsible for developing and optimizing the intelligent customer service of TikTok shopping. This role will work closely with our product and operation teams to understand the intentions of our users, design solutions of experience excellence, and convey these solutions to our users conversationally, with the support of cutting-edge LLMs technology. You will have the chance to develop NLP models (like text classification, machine reading, summarization) and prediction models (like question prediction and chatbot action prediction) to achieve the above goals. You will be responsible for developing and optimizing the machine translation service of TikTok shopping to better support cross-region product listing, buyer-seller communication, and commenting. You will have the chance to develop machine translation models for the conversational environment and text generation models from multi-modality inputs. You will be responsible for developing and optimizing the multi-modal AIGC model for product copywriting, including product title, selling points, description and live broadcast script creation etc. You will have the chance to apply cutting edge AIGC models to save human effort and improve business performance.About The JobResponsible for the NLP-related research and development, mainly including: Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model. Building the prediction model by mapping the shopping journey of our users to chatbot actions, including suggesting common question-answers and transferring the user to human agent, with cutting-edge prediction models (like Boosting, deep CTR). Building the generation model by understanding business requests, exploring proper instructions, developing high-quality data, and finetuning a language model of billions of parameters (e.g., 13B, 60B). Working closely with our product and operation teams to quantitatively understand the impact of our chatbot and continuously bridge the business improvement action to model optimization action.QualificationsMinimum QualificationsCurrently pursuing a master's degree with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines. Large language models, natural language generation, machine translation, question answering, machine reading, information extraction, text mining and classification etc. Work experience in e-commerce or the Internet industry is preferred. Practical experience in NLP (dialogue system, machine translation, nlp-related projects in IR/Ads system, etc.) are preferred. Familiar with at least one computer programming language, including but not limited to go/python/Java. Experience of big data development, including but not limited to hive, spark Candidates who have published high-quality papers are preferred, including but not limited to ACL, EMNLP, COLING, AAAI, IEEE TASLP, etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $112200 - $147000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI) - 2025 Start (MS)
+126,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users. We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTokInternships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 or August/September 2025 (Select May if Summer or August if FallPlease state your availability clearly in your resume (Start date, End date).Summer Start Dates:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23Fall Start Dates:Monday, August 11Monday, August 25Monday, September 8Monday, September 22Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms; Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok; Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently; Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety.QualificationsMinimum Qualifications: Currently pursuing a BS/MS degree in Computer Science, related technical field or equivalent industrial research experience; Experience in one of the following fields: recommendation systems, online advertising, information retrieval, natural language processing, computer vision, machine learning, large-scale data mining, or related fields preferred; Familiar with at least one of the mainstream deep learning frameworks, such as TensorFlow or PyTorch; Passionate about solving complex and challenging problems; Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $60- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (E-commerce-Recommendation) - 2025 Summer/Fall (BS/MS)
+127,2024-08-25,北京市海淀区,北京,Happy Elements,http://www.happyelements.com/,"Happy Elements is a company concentrating on the development and operation of mobile online games, advertising platform, and the original IP, which includes the providing of original IP-based performances, music, animations, derivative products, and IP licensing services as well.
+The company has launched Anipop, Happy Fish, Summer Pop, Tsum Tsum, Ensemble Stars!, Ensemble Stars!! Music, Merc Storia, and other popular games. It has also created the original IP including Ensemble Stars, Anipop Club, etc. Among all these products, Anipop is listed as one of the most popular leisure games in China, while the series of Ensemble Stars is remarked as the most successful male virtual idol game in Japan.
+Besides, Happy Elements has also developed an independent advertising platform, Sigmob, to provide advertising operation and monetization solutions to the mobile content developers.
+With 1,100 staff at offices and research institutions located in Beijing, Shanghai, Shenzhen, Tokyo, Kyoto and San Francisco, this Beijing-based company continues to attract outstanding talents all over the world. Devoted to conveying its products and happiness to every corner of the world, the company aims to “create better cultural entertainments, and convey happiness and joy to more people”.","Full-timeResponsibilitiesBuild, maintain, and improve efficient and reliable data mining and machine learning models.Design, implement and tune machine learning models, and provide performance feedback.Work closely with data engineers to adapt and improve data pipelines for production models.Work closely with software engineers in putting models into production (interface, SLA, scalability).QualificationsStrong academic background required. MS in Computer Science or Machine Learning with 2+ years of industry experience or PhD in related field with 1+ years of industry experience required.Expert in Python, and computation graph toolkits (e.g., Scikit-learn, Tensorflow). Solid experience with Python packages such as Numpy, Panda, and Scikit-learn. Expert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models. Master with SQL or other relational database.Master in building and productionizing end-to-end machine learning systems. Knowledge and experience in cloud computing is a plus. Extensive data modeling and data architecture skills.Advanced math skills (linear algebra, Bayesian statistics, group theory). Ability to consistently exercise independent discretion and judgment on significant matters.Strong analytical, problem-solving and communication skills. Ability to work in a team environment",Entry level,Machine Learning Engineer
+128,2025-04-02,London,,hackajob,https://www.hackajob.com,"The AI driven tech hiring platform loved and trusted by leading tech employers and 900,000+ tech professionals worldwide.
+
+Smart, flexible AI instantly identifies highly relevant, high-intent tech talent based on real skills, experience, and preferences. Not just keywords.
+
+No ghosting. No noise. No irrelevant outreach.
+
+Tech professionals across Software Engineering, Data, DevOps, and 200+ other disciplines create a single profile to get matched with jobs they care about. 
+
+The best part? 
+Job seekers are in control, privately accepting or declining opportunities from companies that might not have found them otherwise.
+
+The result?
+Faster connections, higher-quality matches, and 76% of interview requests accepted by candidates within 24 hours.
+
+That’s what we call enjoyable tech hiring 🤝","hackajob has partnered with a disruptive automotive business that puts innovation at the heart of its new digital products and works with an unrivaled amount of automotive consumer data.Role: Senior Data ScientistLocation: RemoteQualifications and requirements4+ years of experience in the following areas:Python and other languages appropriate for large scale analysis of numerical and textual dataData mining, machine learning, statistical modeling tools and underlying algorithmsData Lake and cloud computing fundamentals, Relational databases, SQLDeliver model suite to optimize marketing investments and drive improvements to conversionDevelop customized Media Mix Model to understand Marketing impact and optimize budget allocationModel site visitor value to improve targeting and maximize return of paid digital channelshackajob is a recruitment platform that will match you with relevant roles based on your preferences and in order to be matched with the roles you need to create an account with us.*This role requires you to be based in the US*",Mid-Senior level,Data Scientist
+129,2025-03-25,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you excited about building high-performance robotic systems that can perceive, learn, and act intelligently? The Vulcan team is creating premier robotic workcells.We are seeking software engineers to help with our initial robotic prototypes and workcell deployments. This includes building computer vision systems, ML and AI models, robotic control and motion planning, and process management. It also includes end-to-end ownership of decision explanation, fault detection, monitoring, A/B testing, large scale model training, simulation, hardware integration, and more. This work spans prototypes in the lab as well as wide-deployment systems. As a software engineer, you will help plan the roadmap, implement, test, and monitor services in our robotic fleet. You will also have the opportunity to learn and be a part of an interdisciplinary team building all parts of the robot hardware and software stack.Key job responsibilities Design and test Machine Learning pipelines for vision systems on robotic platforms. Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap. Work with stakeholders across , science, and operations teams to iterate on design and implementation. Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement. Work directly with customers and partners to test prototypes and incorporate feedback Mentor other engineer team members.A day in the lifeAmazon offers a full range of benefits for you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About The TeamProgram details - https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problemBasic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Experience in machine learning, data mining, information retrieval, statistics or natural language processingPreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Have deployed, tested and optimized machine learning data curation pipelines, worked on ML Ops, data storage and metrics systems.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2923854",Not Applicable,"ML Software Engineer, Robotics AI"
+130,2025-01-08,San Francisco,California,TurbineOne,http://www.turbineone.com,"TurbineOne delivers do-it-yourself Artificial Intelligence & Machine Learning (AI/ML). TurbineOne’s Frontline Perception System (FPS) allows users to build, tune, and deploy computer-powered recognition algorithms without having to code and without requiring a cloud. The FPS is applicable to organizations that are overwhelmed with vast quantities of data from different sensors and need to empower analysts to quickly find what’s important.","ABOUT THE JOBCompany Intro: TurbineOne is the frontline perception company. We deliver decision advantage, better situational awareness, and stronger force protection. Our customers love how we automate the right portions of the military intelligence cycle while keeping them in the loop. The company is a small, fast-moving, and high-performance startup that is backed by the best DefenseTech venture capitalists.Job Title: Machine Learning EngineerReporting to the Machine Learning team lead Geographically flexible for home-office Primary Responsibilities:Designing and developing machine learning systems and infrastructure for training and inference at the edgeMaintain and update the APIs between products and ML features to enable rapid iteration and adoption of new functionalityShipping production grade machine learning features to TurbineOne's Front Line Perception systemBuilding and integrating new data models and user interfaces for gathering user data to enable to new ML-based product solutionsCreating and maintaining reusable functional blocks for machine learning models, such as data loading, inference batching, etc.Productionizing machine learning prototypes, papers and state-of-the-art architectures to solve product problemsMaintain and improve existing TurbineOne machine learning frameworks and librariesDeveloping automation tools for building, testing, packaging and deploying machine learning components and featuresOn a Typical Day You Would:Add/update Vue3 components, GraphQL APIs and database models to gather information from the user, or display model output to the user.Extract re-usable components from multiple models and refactor the machine learning codebase to improve velocity and maintainability.Spend time reading and understanding a paper and codebase describing a state-of-the-art solution to a given product problem and integrate the solution into the Frontline Perception System for user testing.Desired Experience:High standard of ethics, grit, integrity and moral character7+ years of full stack work experienceAbility and confidence to learn what's required to add functionality to the product, from the ML stack to the front end.College degree/certifications in Computer Science or similar fieldDeep curiosity about customer problems and technical solutionsPositive and solution-oriented mindsetExperience in a production software development environment (version control, automated testing, build tools)Knowledge of deep learning algorithm development and experience with ML experimentationExperience with all or some of TensorFlow, PyTorch and Jax.Willingness to embrace the Startup Culture of moving fast, being insatiably curious, celebrating often, embracing uncertainty, and having a personal desire to improve other peoples' livesStartup Culture Expectations:We're a small, fully remote team and everything is our responsibility.Our team thrives on autonomy, trust and solid communication.Everyone on the Team needs to be very comfortable with constant change, moving fast, sharing failures, embracing grit, and building things themselves.Eligibility:Must be eligible to obtain a clearance with the U.S. government",Entry level,Machine Learning Engineer
+131,2025-03-20,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Machine Learning Engineer - RAGThis role involves building the next-gen Retrieval-Augmented Generation (RAG) by demonstrating sophisticated generative AI services, pipelines, and components to drive the development and delivery of Agentforce. You will work on and ship impactful generative AI platforms, applications, and products used by millions of people every day.The RoleYou will play a critical role in integrating artificial intelligence and generative AI into sophisticated RAG technologies, enterprise Knowledge Graphs, and the latest LLM algorithms and technologies to build the next wave of intelligent agents. You will participate in the end-to-end AI product development lifecycle, designing and developing scalable deep learning and generative AI systems and services. You will collaborate with AI Platform Engineers and Software Engineers to define requirements and develop reusable workflows and ML pipelines.What You’ll Do: Design and deliver scalable RAG services that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production. Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring, and root cause analysis. Participate in periodic on-call rotations and be available to resolve critical issues. Collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production. Engage in fun-spirited yet thought-provoking conversations with your team around fun topics, such as: Should the popularity of penguins influence conservation efforts? Is creativity more like a neural network or a heuristic algorithm? How would society evolve if humans communicated through colors as well as words? Brainstorm with Product Managers, Designers, and Engineers to conceptualize and build new features for our large (and growing!) user base. Produce high-quality results by leading or collaborating heavily to large multi-functional projects that have a significant impact on the business. Help other engineers actively own features or systems and define their long-term health, while also improving the health of surrounding systems. Assist our skilled support team and operations team in triaging and resolving production issues. Mentor other engineers and deeply review code. Improve engineering standards, tooling, and processes.Required Skills: 10+ years of proven experience in ML engineering, building AI systems and/or services. Strong proficiency in NLP and machine learning models. Experience with LLMs and prompt engineering. Proven experience building and applying machine learning models to business applications. Proven track record to innovate and deliver results at scale. Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks, such as Kafka, Spark, Docker, and Hadoop. Proven understanding of deep learning and machine learning algorithms. Grit, drive, and a strong sense of ownership, coupled with teamwork and leadership skills. Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala, or Java. Built with common ML frameworks like PyTorch, TensorFlow, Keras, XGBoost, or Scikit-learn. Experience building batch data processing pipelines with tools like Apache Spark, SQL, Hadoop, EMR, MapReduce, Airflow, Dagster, or Luigi. An analytical and data-driven approach, and know how to measure success with complicated ML/AI products. Led technical architecture discussions and helped drive technical decisions within the team. The ability to write understandable, testable code with an eye towards maintainability. Strong communication skills and you are capable of explaining sophisticated technical concepts to designers, support, and other specialists. Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval. A bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or you have equivalent training, fellowship, or work experience.Preferred Skills: Expertise in retrieval systems and search algorithms. Familiarity with vector databases and embeddings. Strong background in a wide range of ML approaches, from Artificial Neural Networks to Bayesian methods. Experience with conversational AI. Excellent problem-solving skills; the ability to take on problems the world has yet to solve. Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams. Knowledge of using multiple data types in RAG solutions including structured, unstructured, and graph.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at  www.equality.com  and explore our company benefits at  www.salesforcebenefits.com . Salesforce  is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce  does not accept unsolicited headhunter and agency resumes. Salesforce  will not pay any third-party agency or company that does not have a signed agreement with Salesforce .Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $172,000 to $384,100.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Machine Learning Engineer, RAG"
+132,2025-01-24,San Francisco,CALIFORNIA,OSARO,http://www.osaro.com,"OSARO delivers best-in-class robotic piece-picking solutions for e-commerce where key challenges include high SKU inventories, complex packaging, and fragile items. In the rapidly evolving world of logistics technology, OSARO offers smarter automation, low-risk business plans, and its signature Hypercare support from exploration to installation. OSARO’s intelligent robots enable goods-to-robot (G2R) use cases, where the greatest gains are yet to be made on the automated warehouse floor. Its AI-driven, machine-learning vision and control software provides the foundation for all its products. 
+
+OSARO employs a diverse & talented team of experts in the specialized field of machine and deep learning. Our core values are integrity, responsibility, focus on continuous learning, speed and determination, and kirei, a Japanese term meaning brilliant. Our team is dedicated to building these core values into our products.","We are searching for a Machine Learning Engineer to help us build upon the intelligence and capabilities of our robots and the machine learning systems that power them. Our products combine state-of-the-art perception algorithms and adaptive decision-making abilities with sophisticated control algorithms to endow industrial robots with the autonomy needed to perform efficiently at scale in several industrial applications.As a Machine Learning Engineer, you will work closely with our robotics, deployment, and sales teams to identify customer needs and conceptualize and build out machine learning solutions to those needs. You will also be responsible for monitoring, training, and validating performance of our deep learning models. We value candidates who are passionate about what they build, feel a strong sense of ownership over their work, and love being continually challenged. Our ideal candidates are those who care deeply about their team and demonstrate both directness and integrity.Examples of the work you will be doingBuilding product features, data pipelines, and tooling for visualizing and understanding machine learning modelsCreating and adapting SOTA model architectures in Tensorflow or PyTorch to solve unique, high-value problemsApplying best practices in data science to help the team draw actionable conclusions from our data and performance resultsWorking with our machine learning team to automate, manage, and validate our data collection pipelines and processesCollecting, organizing, and presenting performance results to stakeholdersTechnologies you will work withPythonRustGoogle Cloud Platform (BigQuery, Cloud Spanner, & Cloud Storage)AirflowKubernetesTerraformgRPCTensorflowCI/CDQualificationsB.S. or higher degree in computer science or related engineering fieldExcellent Python programming skillsExperience with Tensorflow or a similar deep learning frameworkKnowledge of key concepts in machine learning (particularly deep learning) and data science Familiarity with big data and databases (BigQuery)Strong ethic of self-reliance and the initiative to take ownership of projectsStrong communication skillsAbility to determine reasonable timelines and deliver results accordinglyLegal authorization to work in the U.S. is requiredNice to havesStrong theoretical knowledge and practical experience with classical machine learning and deep learning techniquesExperience with 3D scene understanding and object detection/segmentation from visionExperience with robotic manipulation hardware: arms, 3D cameras, force sensorsExperience working independently on large, shared code bases and infrastructureExperience with big data processing tools: Spark/Hive/BigQuery etcMore About OSAROOSARO is a San Francisco-based startup company applying deep learning technology to next-generation robotics applications. Some of Silicon Valley’s leading investors, including Peter Thiel, Jerry Yang, and Scott Banister have backed OSARO. Our vision is to build brains for robots on an industrial scale and we are excited and driven to see the results of our efforts operating in and interacting with the real world. We implement state-of-the-art techniques but constantly strive to build the simplest possible solution. OSARO is technique agnostic and always focused on the goal. We regularly review academic literature and techniques while steering clear of the hype. We’re focused on delighting our customers with systems that work like magic.We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which match well with the global nature of our business. We are naturally curious, love healthy debate, and respect varying points of view. At OSARO, we strive to be champions for equality. We believe we can serve as a model for diversity in the tech industry by emphasizing policies of nondiscrimination and inclusion at every step.We are an equal opportunity employer who offersHealth, dental, vision, and commuter benefits & stipendCatered lunches in a dog friendly office, phone and learning stipendGenerous vacation timeExcellent paid parental leave policy with the option for additional reduced and unpaid leaveThe above full-time position is available immediately. You should be willing to move to the SF Bay Area and physically be in the office. This is not a remote position.Actual compensation is based on various factors, including but not limited to job-related skills, and experience.",Not Applicable,Machine Learning Engineer
+133,2025-03-30,Palo Alto,California,Arc Institute,http://www.arcinstitute.org,"Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development.
+
+Headquartered in Palo Alto, California, Arc is a non-profit organization founded on the belief that many important research programs will be enabled by new academic models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.
+
+As individuals, Arc researchers collaborate across diverse disciplines to study complex diseases, including cancer, neurodegeneration, and immune dysfunction. As an organization, Arc strives to enable long-term research agendas by betting on people rather than projects, and making it easier to invent and deploy new technologies at scale.
+
+Together, our mission is to accelerate scientific progress, understand the root causes of disease, and narrow the gap between discoveries and impact on patients.","About Arc InstituteThe Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:Funding: Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators. Support: Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.Arc scaled to nearly 100 people in its first year. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly to several hundred in the coming years. About the positionWe are searching for an experienced and collaborative machine learning research engineer focused on building biological foundation models. This role will contribute to the development and application of Arc’s frontier DNA foundation model (Evo), Arc’s Virtual Cell Initiative focusing on developing cell biological models capable of predicting the impact of perturbations and stimuli, and other projects in the context of Institute-wide machine learning efforts.About you- You are an innovative machine learning engineer with experience in training and evaluating large deep learning models.- You are excited about working closely with a multidisciplinary team of computational and experimental biologists at Arc to achieve breakthrough capabilities in biological prediction and design tasks.- You are a strong communicator, capable of translating complex technical concepts to researchers outside of your domain.- You are a continuous learner and are enthusiastic about developing and evaluating a model that impacts many biological disciplines.In this position, you will- Contribute to optimization and scaling of state-of-the-art foundation models developed in collaboration with other ML researchers and scientists at Arc with the goal of understanding and designing complex biological systems.- Engineer large-scale distributed model pretraining and pipelines for efficient model inference. Enable robust systematic evaluation of trained models.- Stay up-to-date with the latest advancements in technologies for large-scale sequence modeling and alignment, and implement the most promising strategies to ensure the underlying models remain state-of-the-art.- Work with experimental biologists to ensure that the developed models are grounded in biologically meaningful problems and evaluations.- Publish findings through journal publications, white papers, and presentations (both internal to Arc and external).- Foster internal and external collaborations centered on generative design of biological systems at Arc Institute.- Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others.Job Requirements- B.S, MS or PhD in Computer Science, Machine Learning or a related field.- Minimum of 5-8+ years of relevant experience in machine learning research or ML engineering in an academic (e.g., PhD) or industry research lab.- Well-versed in machine learning frameworks such as PyTorch or JAX.  - Experience with developing distributed training tools such as FSDP, DeepSpeed, or Megatron-LM.- Excellent communication skills, both written and verbal, with a strong track record of presentations and publications.- Ability to communicate and collaborate successfully with biologists and software/infrastructure engineers.- Motivated to work in a fast-paced, ambitious, multi-disciplinary, and highly collaborative research environment.The base salary range for this position is $168,000-$242,500. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.",Entry level,Machine Learning Engineer
+134,2025-04-09,Cambridge,MA,Kensho Technologies,https://www.kensho.com,"Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction. With engineers comprising over 75% of our ~100-person team, Kensho is an engineering-driven culture, laser focused on building products that solve our customers’ complex problems. Kensho is headquartered in Cambridge, Massachusetts. ","Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and more.Kensho is looking for ML Engineer interns to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Extract. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production.Are you looking to leverage your teammates' diverse perspectives to solve hard problems? If so, we would love to help you excel here at Kensho. You will be working on a team with experienced engineers and have an opportunity to learn and grow. We take pride in our team-based, tightly-knit startup Kenshin community that provides our employees with a collaborative, communicative environment that allows us to tackle the biggest challenges in data. In addition, as an intern you will have the opportunity to attend technical and non-technical discussions as well as company wide social events.We value in-person collaboration, therefore interns are required to work out of the Cambridge HQ or our New York City office!Technologies & Tools We UseAgentic systems: Agentic Orchestration, Information Retrieval, LLM code generation, LLM tool utilization, Multi-modal Embeddings, Multi-turn Conversationality, Textual RAG systemsCore ML/AI: DGL, GNNs, HuggingFace, LightGBM, NVIDIA NeMo, PyTorch, SKLearn, Transformers, XGBoostData Exploration and Visualization: Jupyter, Matplotlib, Pandas, Weights & BiasesData Management and Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, Qdrant, S3, SQLiteDeployment & MLOps: Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, Kubernetes, Ray, vLLM, WhyLabsWhat You’ll DoAssist in conducting original work on large proprietary unstructured data and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value.Design, build, and maintain scalable production-ready ML systemsParticipate in the ML model lifecycle, from problem framing to training, deployment, and monitoring in productionPartner with our ML Operations team to deliver solutions for automating the ML model lifecycle, from technical design to implementationWork in a cross-functional team of ML Engineers, Product Managers, Designers, Backend & Frontend Engineers who are passionate about delivering exceptional productsWhat We Look ForOutstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine LearningExperience with advanced machine learning methodsStatistical knowledge, intuition, and experience modeling real dataExpertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)Demonstrated effective coding, documentation, and communication habitsStrong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.Job ID: 307256Posted On: 2024-12-20Location: Cambridge, Massachusetts, United States",Internship,Machine Learning Engineer - Summer Intern 2025
+135,2025-03-20,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
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+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.Our Perception team builds the system that ""sees"" the world around the self-driving car. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop complex models and techniques at scale.In this hybrid role, you will report to a Technical Lead Manager.You WillApply machine learning techniques to build multi-modal sensor fusion architectures including object detection and tracking, segmentation, road understanding, flow estimation and future prediction.Design large-scale foundation models trained on our vast dataCreate foundation scale data sets to enable self supervised learning and distillationDevelop data mining, labeling, training and evaluation pipelines to help the Waymo DriverYou HaveBachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience3+ years experience in Computer Vision and/or Machine LearningExperience with PythonWe PreferMS or PhD Degree in Computer Science, Robotics or a similar disciplinePublications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, or PAMIExperience with C++The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$170,000—$216,000 USD",Entry level,"Software Engineer, Machine Learning/Computer Vision"
+136,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+137,2025-03-24,London,,PhysicsX,https://www.physicsx.ai/,"PhysicsX is a deeptech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. 
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+We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
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+We are currently recruiting for multiple positions, however, please only apply for the role that best aligns with your skillset and career goals.","PhysicsX is a deep-tech company of scientists and engineers building next-generation machine learning tools to supercharge physics simulations and redefine what’s possible in design and engineering.Our technology stems from a foundation in numerical physics and high-performance motorsport, and today powers breakthroughs across Aerospace, Automotive, Semiconductors, Energy, and Advanced Manufacturing. By fusing AI with physics, we help leading innovators compress development cycles, enhance product performance, and unlock radically new design spaces. As a recognised leader in AI-powered simulation, we’re growing fast and expanding our platform to deliver even greater impact across the most complex engineering challenges of our time.We are taking the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning software engineer to join our research team.This is a hybrid role, meaning you'll enjoy the best of both worlds- flexibility and in-person collaboration. We work together in our NYC office to foster innovation, teamwork and problem-solving. If you're in (or ready to move to) New York and want to be part of a dynamic, hands-on environment, we'd love to hear from you!Note: We do not provide visa sponsorship in the US. Please only apply if you have the right to work in the US.What You Will DoWork closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problemsDesign, build and optimize machine learning models with a focus on scalability and efficiency in our application domainTransform prototype model implementations to robust and optimized implementationsImplement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimize model training to large data and multi-GPU cloud computeIdentify the best libraries, frameworks and tools for our modelling efforts to set us up for successOwn Research work-streams at different levels, depending on seniorityDiscuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problemsWork at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and productsFoster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentorWhat You Bring To The TableEnthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineeringAbility to work autonomously and scope and effectively deliver projects across a variety of domainsStrong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quicklyExcellent collaboration and communication skills — with teams and customers alikeMSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following:Scientific computing;High-performance computing (CPU / GPU clusters);Parallelised / distributed training for large / foundation modelsIdeally >1 years of experience in a data-driven role, with exposure to:scaling and optimizing ML models, training and serving foundation models at scale (federated learning a bonus);distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton);cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP);building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications;C/C++ for computer vision, geometry processing, or scientific computing;software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps);container-ization and orchestration (Docker, Kubernetes, Slurm);writing pipelines and experiment environments, including running experiments in pipelines in a systematic wayWhat We OfferBe part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Work sustainably, striking the right balance between work and personal life. Receive a competitive compensation and equity package, in addition to plenty of perks such as generous vacation and parental leave, complimentary office food, as well as fun outings and events Opportunity to collaborate in our lovely Shoreditch office and enjoy a good proportion of time working from home, if desired. Get the opportunity to occasionally visit our customers' engineering sites and experience first-hand how our work is transforming their ways of working Use first-class equipment for working in-office or remotely, including HPC We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.",Not Applicable,"Machine Learning Software Engineer, Research"
+138,2025-03-28,San Francisco,California,Scale AI,https://scale.com,"At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 
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+The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
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+Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. ","At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.Example Projects:Ship tools to accelerate the growth of new qualified contributors on Scale’s labeling platformBuild methodical fraud-detection systems to remove bad actors and keep Scale’s contributor base safe and trusted. Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.Devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy.Build methods to automatically measure, train, and optimally match labelers to tasks based on performanceCreate optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ labelers to complete billions of complex tasksDevelop new AI infrastructure products to visualize, query, and explore Scale dataRequirements:A graduation date in Fall 2024 or Spring 2025 with a Bachelor’s degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out ‘what’ to build and then iteratingPrevious Computer Science/Software Engineering Internship experience Track record of shipping high-quality products and features at scaleExperience building systems that process large volumes of dataExperience with Python, React, typescript and/or MongoDBCompensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$124,000—$145,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.",Entry level,Software Engineer - New Grad
+139,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
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+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
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+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+140,2025-03-23,San Francisco,California,Nextdoor,https://nextdoor.com,"Nextdoor is where you connect to the neighborhoods that matter to you so you can thrive. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services.
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+We believe connecting with others is a universal human need. That truth, and the reality that neighborhoods are among the most important communities in our lives, have been guiding principles for Nextdoor since the beginning.
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+Today, neighbors rely on Nextdoor in more than 340,000 neighborhoods across 11 countries. In the U.S., 1 in 3 households uses the network.
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+Nextdoor is based in San Francisco. For additional information and images: nextdoor.com/newsroom.
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+Nextdoor is free, and it's easy to sign up. Get started at https://nextdoor.com.
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+For media inquiries, email us at press@nextdoor.com.
+
+For customer support, reach us at http://nextdoor.com/support.","#TeamNextdoorNextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.Meet Your Future NeighborsAt Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live.At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees.The Impact You’ll MakeYou will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platformCollect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platformAnalyze datasets and and use important features to build low-latency models for decisions that need to be made quicklyDeploy ML models into production environments and integrate them into the productRun and analyze live user-facing experiments to iterate on model quality by measuring impact on business metricsCollaborate with other engineers and data scientists to create optimal experiences on the platformParticipate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercisesBuild in-person relationships with team members and contribute to Nextdoor’s company cultureWhat You’ll Bring To The TeamB.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field2+ years of industry/academic experience of applying machine learning at scaleExperience of building ML models for advertising productsProven engineering skills. Experience of writing and maintaining high-quality production codeAbility to work with and analyze large amounts of dataAbility to succeed in a dynamic startup environmentRewardsCompensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.The starting salary for this role is expected to range from $190,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.",Mid-Senior level,Machine Learning Engineer - Ads
+141,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+142,2025-03-26,Leeds,England,Morgan King Technology,http://www.morganking.co.uk,"Welcome to Morgan King Technology, your specialist global consultancy for AI, Data, and Engineering talent management.
+
+In today's digital era, industries worldwide are undergoing significant transformations. With the rapid pace of change, companies are seeking to adapt and innovate. This shift demands access to a new breed of talent, creating a pressing need to attract and retain professionals with specialised skill sets.
+
+Enter Morgan King Technology – your recruitment partner equipped to navigate this evolving landscape. We harness cutting-edge technology, driving innovation and empowering change.
+
+We thrive on collaborating with Start-Ups & SMEs, helping them fuel growth and assemble high-performing tech teams. Additionally, we work with some of the leading organisations on a global scale. Operating globally, we provide tailored solutions across diverse sectors and regions.
+
+Specialising in:
+
+Talent Acquisition: From scaling up rapidly to acquiring talent for specific roles, we've got you covered.
+RPO (Recruitment Process Outsourcing): Let us manage your recruitment process efficiently, saving you time and resources.
+Fundraising: Need to raise capital or secure investment? We have the resources and connections to help you succeed.
+No matter how ambitious your goals, Morgan King Technology is uniquely positioned to deliver.
+
+Visit our website to learn more:
+http://www.morganking.co.uk","The Opportunity We’re working with an AI startup in San Francisco that’s pushing the boundaries of generative AI and NLP. Backed by top-tier VCs, they’ve secured major funding and are scaling fast. If you’re looking for a hands-on ML role where you can work on cutting-edge large language models (LLMs), reinforcement learning, and real-world AI applications—this is it.They need an ML Engineer who thrives in a fast-moving startup environment, loves research-driven development, and wants to see their models power real products used by millions.Why You Should Join Build production-level AI models that go beyond academic research Work alongside PhDs and ex-Big Tech ML engineers Get in early—massive equity upside and full ownership of key AI features Solve high-impact LLM and deep learning problems in a practical wayTech Stack: Python, PyTorch, TensorFlow, JAX, Hugging Face, AWS/GCP, Kubernetes, DockerWhat They’re Looking ForStrong experience in building and deploying ML models (LLMs, transformers, CNNs, RNNs)Hands-on with PyTorch or TensorFlow in productionDeep understanding of scalability & optimization (think MLOps, model deployment, inference optimization)Experience with distributed computing (Ray, Spark, Dask) is a plusPrior experience in a startup or fast-moving environmentLocation: California (Remote OK, but strong preference for SF Bay Area)Interested? Let’s chat—this is an exclusive opportunity with an AI team that’s redefining the industry.",Mid-Senior level,Machine Learning Engineer
+143,2025-02-24,Milpitas,California,Inhabitr,https://www.inhabitr.ai,"We merge cutting‐edge technology, operational efficiency, and eco‐conscious, elegant design to create inspiring spaces tailored to your vision. Our streamlined approach to FF&E procurement ensures every project achieves its full potential—delivered on schedule, perfectly aligned with your brand, and within budget. Additionally, Inhabitr also offers affordable furniture rental options to consumers. We are headquartered in San Francisco and Mumbai. 
+
+","About InhabitrInhabitr is a fast-growing furniture tech company revolutionizing the industry. We offer a unique platform where customers can buy or rent furniture, catering to professionals, students, realtors, and homeowners. Our innovative approach combines technology with furniture solutions to provide unparalleled flexibility and convenience.Position OverviewWe are seeking a talented Machine Learning Engineer to join our Data Science and Engineering team. This role offers an exciting opportunity to apply your skills in machine learning, computer vision, and MLOps to drive innovation in the furniture tech industry. The ideal candidate will have a strong foundation in deep learning frameworks and cloud technologies, with a passion for developing and deploying AI-driven solutions.Key ResponsibilitiesDevelop and implement machine learning models, with a focus on computer vision applicationsDesign and maintain scalable data pipelines using cloud technologies (AWS, GCP)Contribute to the end-to-end machine learning lifecycle, from data preparation to model deploymentCollaborate with cross-functional teams to integrate AI solutions into our productsOptimize ML models for performance and scalabilityImplement MLOps best practices to ensure efficient model deployment and monitoringTechnical Skills RequiredStrong proficiency in Python, with expertise in deep learning frameworks (PyTorch, Keras, TensorFlow)Experience with computer vision libraries and techniquesFamiliarity with cloud platforms (AWS, GCP) and big data technologies (Spark)Proficiency in data manipulation and analysis using pandas, numpy, and scikit-learnExperience with data visualization tools (plotly express, seaborn, matplotlib)Knowledge of SQL for data querying and manipulationFamiliarity with version control (Git) and containerization (Docker)Understanding of MLOps principles and practicesAdditional Desirable SkillsExperience with 3D data processing (open3D)Familiarity with MATLABKnowledge of advanced visualization techniques (manim)QualificationsBachelor's or Master's degree in Computer Science, Data Science, or related field3-5 years of experience in machine learning or software engineering rolesDemonstrated experience with deep learning and computer vision projectsRelevant certifications (e.g., Deep Learning Specialization, MLOps Specialization) are a plusPersonal AttributesStrong problem-solving skills and attention to detailExcellent communication skills and ability to work in a collaborative team environmentEagerness to learn and adapt to new technologiesPassion for applying AI to real-world problemsWhat Inhabitr OffersA dynamic and collaborative work environmentOpportunities for professional growth and skill developmentCompetitive salary and benefits packageChance to make a significant impact in a rapidly growing tech companyJoin us in shaping the future of the furniture industry through innovative data solutions!",Entry level,Machine Learning Engineer
+144,2025-02-24,Colorado Springs,CO,"Skyline Products, Inc.",http://www.skylineproducts.com,"Skyline Products manufactures electronic price signs and transportation systems that are Designed to be Bold, Engineered to Last. Since 1970, Skyline has invested heavily in research and development to create the most legible and reliable price signs and transportation systems in the industry. Fully designed and manufactured in Colorado Springs, CO, our industry-exclusive technologies provide superior display feedback, unmatched brightness control, exceptional full-bodied digits, advanced energy efficiency, and military-grade durability. Additionally, Skyline provides customers with price-change confirmation, true message display verification feedback, and the most advanced sign diagnostics on the market. 
+
+Learn more at www.SkylineProducts.com.","At PriceAdvantage, a division of Skyline Products, we have revolutionized the way fuel marketers price fuel by giving them easier access to real-time data, eliminating manual processes, and decreasing the time it takes to execute fuel price changes accurately. With these core competencies, PriceAdvantage has helped fuel retailers across the country increase their profitability significantly.The ideal candidate will have a strong background in machine learning algorithms and data analysis, with experience in developing and deploying machine learning models. This role involves collaborating with cross-functional teams to enhance our data-driven decision-making processes and improve product offerings.We are looking for a Remote Machine Learning Engineer to join our team, where you will play a key role in developing cutting-edge AI and machine learning models that drive innovative solutions across various applications. You will work with cross-functional teams to design, build, and deploy intelligent systems that improve performance, efficiency, and user experiences. Your expertise in AI algorithms, machine learning frameworks, data analysis, and software development will contribute to solving complex business problems and advancing our technological capabilities.Key Responsibilities: Design, develop, and implement AI-driven solutions using machine learning techniques, deep learning, natural language processing (NLP), and computer visionBuild, train, and optimize machine learning models to analyze large datasets and derive actionable insightsDevelop and integrate machine learning algorithms into production systems, ensuring scalability and performanceCollaborate with data scientists, software engineers, and other stakeholders to define system requirements, data pipelines, and performance metricsUtilize big data tools and frameworks to process, analyze, and extract insights from large datasets in various domainsContinuously improve model performance through experimentation, hyperparameter tuning, and model evaluationStay updated with the latest AI and machine learning research trends to apply cutting-edge technologies and techniques. Implement best practices in coding, version control, and continuous integration for AI/ML projects.Required Skills & Qualifications: Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).Troubleshoot and resolve issues related to machine learning models and AI applicationsBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related fieldStrong proficiency in programming languages such as Python, Java, or C++Solid understanding of AI techniques, including supervised and unsupervised learning, reinforcement learning, NLP, and deep learningProficiency in data manipulation and analysis using tools such as Pandas, NumPy, and SQLExperience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML modelsFamiliarity with containerization and orchestration tools (e.g., Docker, Kubernetes)Strong problem-solving and analytical skills, with the ability to work on complex data-driven projectsExcellent communication skills and the ability to work collaboratively in a multidisciplinary teamPreferred Qualifications: Familiarity with data engineering concepts and tools, including ETL processes and data warehousingKnowledge of distributed computing and high-performance computing (HPC) for scaling machine learning modelsFamiliarity with Agile methodologies and version control systems (e.g., Git)Compensation:The compensation for this position ranges from $100,000 - $120,000 depending on experience.Why Join Us? As part of our dynamic team, you will have the opportunity to work on some of the most exciting and impactful AI and machine learning projects in the industry. We foster a collaborative environment where innovation is encouraged, and we provide the tools and resources you need to grow your career in AI and machine learning.Skyline Products is an Equal Opportunity Employer; all decisions are made without regard to race, color, religion, creed, gender, national origin, age, disability, marital or veteran status, sexual orientation, gender identity, or any other legally protected status.Powered by JazzHRWjwSO5Uv66",Mid-Senior level,AI Predictive Machine Learning Engineer
+145,2025-04-05,Oakland,California,Pacific Gas and Electric Company,http://www.pge.com,"Pacific Gas and Electric Company, incorporated in California in 1905, is one of the largest combination natural gas and electric utilities in the United States. Based in San Francisco, the company is a subsidiary of PG&E Corporation.
+
+There are approximately 20,000 employees who carry out Pacific Gas and Electric Company's primary business—the transmission and delivery of energy. The company provides natural gas and electric service to approximately 15 million people throughout a 70,000-square-mile service area in northern and central California.
+
+Fast Facts
+
+* Service area stretches from Eureka in the north to Bakersfield in the south, and from the Pacific Ocean in the west to the Sierra Nevada in the east
+
+* 141,215 circuit miles of electric distribution lines and 18,616 circuit miles of interconnected transmission lines
+
+* 42,141  miles of natural gas distribution pipelines and 6,438 miles of transportation pipelines
+
+* 5.1 million electric customer accounts
+
+* 4.3 million natural gas customer accounts","Requisition ID # 164268Job Category: Administrative / ClericalJob Level: Individual ContributorBusiness Unit: Customer & Enterprise SolutionsWork Type: HybridJob Location: OaklandDepartment OverviewThe Customer Insights, Strategy and Analytics organization leverages qualitative and quantitative data to evaluate the effectiveness of customers’ touchpoints with PG&E. We do this through data analytics, journey mapping, qualitative and quantitative research, process improvement, and program management. We build empathy and advocate on behalf of customers and develop actionable insights to influence strategy and improve customer experience.Position SummaryWe are looking for a Data Scientist Intern to join us and help us better understand customer experience leveraging data. In this role, you will design, develop, and execute scripts, programs, models, algorithms, and processes, using structured and unstructured data across surveys and other disparate sources; this work will produce actionable insights for customer strategy, policy development, process improvement, and product enhancement.Successful candidates will be able to interact with technical and non-technical coworkers to resolve analysis and technical issues and are able to summarize and package findings for presentationYou will play a key role in fundamentally changing how we deliver for our hometowns!PG&E is providing the hourly rate range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual hourly rate paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity.The hourly rate for this position ranges from $22.77 to $36.42.ResponsibilitiesUnderstand and apply statistical and analytical modeling methods and Generative AI (LLM) to identify opportunities for improving customer experienceAnalyze data for trends and patterns and interpret data with clear objectives in mindDevelop expertise with customer demographic data, billing data, and other structured/unstructured dataAppropriately document data sources, methodology, and model evaluation metricsDevelop and present summary presentationsQualificationsMinimum Qualifications:Qualified candidates are pursuing a Master’s degree in Data Science, Computer Engineering, or related field at an accredited UniversityStudents must be continuing their education towards their degree during and/or after the internshipDesired:Took courses in machine learning/statistical learning, coding (python & SQL)Knowledge in generative AI/LLMAbility to work in a team environment and support fellow team membersStrong problem solving and analytical skills Strong communication skills, both oral and writtenTakes initiative and can work independently with minimal direction",Internship,Data Scientist Intern
+146,2024-07-25,San Francisco,CA,Tome,https://tome.app/,"Tome is an AI assistant for enterprise sellers, built to automate manual work and enable more effective conversations throughout the entire sales cycle.
+
+The Tome platform trains custom language models on your company’s sales methodology, value framework, and GTM tech stack, allowing AEs to:
+
+1. Book more qualified pipeline with automated account and persona research, suggested value hypotheses, and personalized outreach messages for the highest priority accounts.
+
+2. Accelerate existing pipeline with detailed meeting prep, generated collateral, AI note taking synced to your CRM, and automated follow-ups.
+
+3. Optimize their sales playbook with insights on which messages, features, and collateral lead to bigger, faster deals.
+
+In this new world, AEs can focus less on work that weighs them down and more on spending time with customers. Sales leaders can ensure quality pipeline creation is maximized, more deals are won, and reps ramp faster. And RevOps leaders are at peace-of-mind knowing their systems and processes are being used to their full potential.","About LightfieldLightfield is a new kind of CRM.It's a collaborative system for founders to find, understand, and serve customers faster than anything before it.It captures every customer interaction, generates and performs followup actions, and answers questions about your go-to-market using knowledge obtained in real time.Our system is tuned and customized by a team of experienced sellers, engineers, and researchers. Many of us worked on large-scale products including Llama, Messenger, Instagram, Pinterest, and Linkedin before this.Lightfield.appAbout The RoleLightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers.Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMs.We’re inspired by the challenge of creating innovative new AI products for people doing serious work, and we’re looking to grow our AI/ML team to meet that challenge.What You'll DoCreate and ship magical, highly-differentiated AI experiences that sales teams are eager to useCraft Lightfield's AI/ML strategy in tight collaboration with founders and execsIdentify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutionsPrototype innovative, LLM-powered experiences, and drive their development into robust product featuresHelp build a world class AI/ML engineering team by recruiting and mentoring teammatesWho You AreYou have a BS or MS degree in CS, AI, or applied mathYou have 5+ years of experience building AI/ML based products in NLP domainsYou have a strong understanding of deep learning AI/ML frameworks or cloud servicesYou have hands-on ML Ops experienceBonus PointsExperience leading AI/ML product initiativesPublications in applied AI/ML scientific journalsExperience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)",Mid-Senior level,Machine Learning Engineer
+147,2025-03-31,Annapolis Junction,MD,Interclypse,https://interclypse.com,"Interclypse is a small business headquartered in Annapolis Junction, Maryland, focused on solving complex problems for customers across the US Intelligence Community and customers in the federal and state government and commercial industries since 2007. We combine world-class engineering talent with proven engineering best practices, domain expertise, and a proven agile management methodology to meet our customers' most critical business and mission objectives.  
+
+The Interclypse team is on a continuous mission to have a positive transformational impact on society, community, industry, and individuals! Our team accomplishes this mission by continuously ""Doing What is Right."" ","DescriptionInterclypse is seeking Data Scientists.The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career.Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.RequirementsEducationDegree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required.Primary ResponsibilitiesEngage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.To succeed in this position; you need to be curious, creative, and tech-savvy.You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms.You must be persistent and have excellent analytical and problem-solving skills.Devise strategies for extracting semantic value from large datasets.Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions.Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.Required Skills/ExperienceExperience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora)Experience with programming in R, Python, JavaExperience with NoSQL databases ( e.g., MongoDB, Accumulo)Experience designing data models and approachesExperience working in a cloud environment ( e.g., AWS, Azure)Experience with LinuxExcellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levelsAbility to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environmentDesired Skills/ExperienceExperience with programming in TensorFlow, PyTorchExperience with Hadoop, MapReduceExperience with TableauExperience with CognosExperience with designing, implementing, and using REST APIsExperience with RDF/OWL, SPARQL, and Semantic Web technologiesExperience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plusExperience with Data catalogs and data managementAbility to help visualize the data for analysis and to display resultsWhy You Might Like This JobYou’re tired of working for a massive organization.You want to work for an established company that values your stable career.You want to work with a team who loves their job and making cool stuff.You want to be part of a team focused on making a positive impact.You want to grow your skills in management or work toward becoming an expert.You want to have the option for career mentorship, both in technology and in business.You value a company with a strong culture of growth and support.BenefitsEmployee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity.Comprehensive time off and leave programs:31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdaysParental Leave: 40 HoursBereavement Leave: 24 hours.Military Reserve Leave (up to 80 hours, see employee handbook for details).Jury Duty Leave 16 hours.Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximumHealth Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details).Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for familiesVision InsuranceDental Insurance includes orthodontics coverageLife InsuranceAccidental Death and Dismemberment InsuranceDisability: Short-term and long-term disability coverageEducational support: reimbursement up to the federal max of $5,250Company apparel: $200 for company apparel each yearSocial events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and moreInterclypse isn’t your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: ""Doing What is Right"". Apply today to see how you can join our winning team and start down the career path that’s right for you!EOE AA M/F/Vet/DisabilityInterclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate’s experience and education/training, internal peer equity, and market and business consideration.",Entry level,Data Scientist - All Levels
+148,2025-04-07,San Jose,CA,PayPal,https://www.paypal.com/us/home,"We're championing possibilities for all by making money fast, easy, and more enjoyable. Our hope is unlock opportunities for people in their everyday lives and empower the millions of people and businesses around the world who trust, rely, and use PayPal every day. 
+
+For support, visit the PayPal Help Center. https://payp.al/help
+
+For employment opportunities, check out our job openings in the 'Jobs' tab. We're an equal opportunity employer that welcomes diversity, and offer generous benefits to help you thrive at work and in your free time.
+","The CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Description Summary:As a machine learning scientist of our team, you will work with Business partner, Product Owners and machine learning engineer building machine learning solutions and improving existing Compliance risk management effectiveness and efficiency. You’ll estimate engineering efforts, prioritize projects, plan implementations, and triage production issues. You need to be dynamic, collaborative and curious, as you’ll work in a fast-paced environment where continuous experimentation and innovation are a given.Job Description:We are seeking an experienced Machine Learning Scientist to work on the development and implementation of cutting-edge machine learning solutions to solve complex business problems.Key Responsibilities:Collaborate with business partners and stake holders to understand the business, identify trends, perform root cause analysis and test hypotheses, come up with the solutions and communicate complex concepts and the results of the models and analyses to technical and non-technical audience. Design, develop and deploy real-time advance machine learning models to solve Compliance business problems, to ensure compliance to regulation, enhance internal risk controls and improve operational efficiency to enable the best user experience, using data science.Required QualificationsM.S. or equivalent degree in Computer Science or engineering field is desiredStrong problem-solving and communication skillsProven track record of building and implementing machine learning solutionsHands on machine learning expertise in Python. Familiar with various Machine Learning algorithms and Statistical methods. Experience in using pytorch or tensorflow.Have a passion for working on big data and professional experience in data mining, statistical analysis, predictive modeling and data manipulation.Ability to deal with large amount of data and fluency with SQL or SQL-like tools. Financial services or eCommerce experience a big plusPayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is $60900 to $147400For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspxCommitment to Diversity and InclusionPayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.Belonging at PayPal:Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please Join our Talent Community.We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.REQ ID R0123302",Not Applicable,Machine Learning Engineer
+149,2025-04-07,New York,NY,Tennr,https://www.tennr.com,"Tennr reads documents from incoming faxes passing through healthcare practices and automates essential tasks like scheduling and qualifying patient visits. By automating that paperwork with Tennr, practices receive more patient referrals and reduce billing errors by 98%, significantly growing revenue. ","About Tennr:Today, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLM™ (7B—trained on 3M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster.Tennr is a NYC-based tech company that launched out of Y-Combinator and is backed by Lightspeed Venture Partners, Andreessen Horowitz, Foundation Capital, The New Normal Fund, and other top investors.Key ResponsibilitiesMachine Learning Engineers at Tennr are expected to wear a variety of hats. In the role, you will be expected to do the following:End-to-End Model Development: Architect, train, deploy, and monitor machine learning models, especially open-source LLMs and traditional computer vision models, to deliver tangible value to Tennr’s customers. Data Processing & ML Ops: Build, optimize, and maintain data pipelines and machine learning infrastructure, enhancing our operational capability as data volume and complexity grow. System Integration: Design and implement backend workflows leveraging machine learning to automate critical processes within Tennr’s platform. Custom Model Development: Fine-tune large language models, vision language models, and traditional computer vision models tailored specifically for medical document understanding and related tasks. Product Collaboration: Work closely with sales, customer success, and implementation teams to integrate customer feedback into actionable improvements and innovative solutions. Evaluation and Optimization: Develop robust evaluation frameworks to measure model performance and efficacy within complex, multi-model systems. Qualifications3+ years of professional experience in an applied machine learning engineering role, ideally post-BS/MS. Proven experience deploying and maintaining machine learning models in production environments, preferably within startups or rapidly evolving companies. Practical experience fine-tuning open-source LLMs and/or traditional computer vision models. Familiarity with robust ML Ops stacks, infrastructure management, and operational best practices for machine learning at scale. Comfort working within complex systems that integrate multiple machine learning components, with experience building evaluation frameworks to ensure system performance. Academic background in machine learning, mathematics, or related fields preferred. Up-to-date knowledge of recent advancements in large language models (LLMs) and enthusiasm for tracking rapid developments in the space. Prior startup experience or exposure to environments leveraging state-of-the-art ML models strongly preferred.",Mid-Senior level,Machine Learning Engineer
+150,2025-04-06,New York,NY,OXMAN,https://oxman.com/,"Envision a future of complete synergy between Nature and humanity, where human-made and Nature-grown become indistinguishable.
+
+OXMAN is a new kind of company fusing design, technology, and biology to invent multi-scale products and environments—allowing design to empower science and science to empower design. As activist designers, we call for a fundamental shift from human-centric design to Nature-centric design. Categorical delineations between climate change and global pandemics, loss of biodiversity and loss of empathy for one another give way to authoring systems that address manifold challenges. Through this shift, we open ourselves up to moving beyond mere maintenance of Nature toward its radical betterment.","OXMANOXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design.At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it.We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments.This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond the mere maintenance toward the advancement of Nature.SummaryOXMAN is seeking a Machine Learning Engineer to join an all-star interdisciplinary team of deep thinkers and brilliant makers, with the aim to leverage artificial learning systems as a tool for mediation between human-made and nature-grown environments. By employing a generative approach and a commitment to process-oriented creation at OXMAN, the Machine Learning Engineer will play a crucial role in a variety of endeavors. These range from design tasks to technological platform advancement, all with the overarching objective to facilitate mediation and dialog and opening opportunities for interactions of combined systems that unite physical, digital, and biological realms.In this position they will design, optimize, and deploy machine learning pipelines using large multimodal datasets containing heterogeneous and complex information related to biology, design, and sustainability. Lead the development of deep generative modeling efforts to explore design spaces and develop real-world deep reinforcement learning methods in biological-artificial hybrid systems. Successful applicants embody stellar technical skills, hold the capacity to navigate and resolve uncertainty, and demonstrate a unique ability to find synergies between biology (wetware), computing (software) and fabrication (hardware). The Machine Learning Engineer will play a key role in researching and developing novel algorithms, models, and methods for solving unique challenges within a variety of biological and bio-inspired systems—from single-celled organisms to whole ecologies and even biotic-abiotic hybrid systems.Core responsibilitiesApply techniques from artificial intelligence and machine learning to research, develop, implement, and evaluate state-of-the-art algorithms for applications related to design, fabrication and biologyResearch and develop methods and frameworks in the area of multi modal machine learning, deep generative modelling and deep reinforcement learning to support OXMANs vision of integrated physical, digital and biological systemsPerform and conduct data gathering and data analysis on environmental and biological data as it relates to OXMANs design goals.Actively seek opportunities to publish work in top-tier journals and other platforms for promoting scientific knowledgeNurture and augment the scientific vision of OXMAN, upholding core design principles and ensuring the highest and most innovative quality of workActively partner with a multidisciplinary team of professionals, including other biologists, engineers, and designers, across scientific and design pursuitsCommunicate ideas, work, and progress clearly, including by engaging in team meetings, presentations, and other creative communication outletsQualifications & CompetenciesPhD or equivalent, with a focus on computer science, artificial intelligence, machine learning, applied data science, bioinformatics, mathematics, physics, or relevant fieldMinimum 4 years of experience with machine learningExperience in one or more of the following: Multi Modal Machine Learning, Deep Generative Modeling, Deep Reinforcement Learning.Portfolio demonstrating out-of-the-box thinking and integration of artificial intelligence methods to other domains.Fluency with programming (e.g., Python, C++, ...)Expert knowledge in Machine Learning Frameworks (Pytorch, JAX, ...)Ability to thrive in a fast-paced entrepreneurial environmentExcellent independence, self-motivation, organizational skills, and attention to detailAn interest in design, biology, architecture, artificial intelligence, and/or sustainability is a plusStrong commitment to the team; maintains positive working relationships with diverse people, including internal team and external partnersEmbodies ethics and integrity in all work, respecting both company and broader community policies in all conductOXMAN does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other legally protected characteristics.NYC Salary Range: $83,000-$225,000Salary is based on a number of factors including job-related knowledge, skills, experience, and other business and organizational needs. Our compensation package also includes variable compensation in the form of year-end bonuses, benefits, immigration assistance, and equity participation.PI267202641",Entry level,Machine Learning Engineer
+151,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+152,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:The Search E-Commerce team spearheads the development of TikTok's advanced search algorithm, crucial for its booming global e-commerce platform. Utilizing state-of-the-art large-scale machine learning, along with cutting-edge NLP, CV, and multi-modal technologies, we are committed to creating a top-tier search engine. Our goal is to deliver the best e-commerce search experience to over a billion monthly TikTok users worldwide. Our mission is to create a world where ""no reasonably priced product is difficult to sell.""We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates globally.Responsibilities: Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales. Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. Promote the robust development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.QualificationsMinimum Qualifications: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Familiar with one or more of the following areas: recommendation systems, machine learning, deep learning, data mining, computer vision, NLP, or multimodal machine learning. Strong proficiency in Python and/or C/C++, and familiarity with a machine learning framework. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (Search E-Commerce - Seattle) - 2025 Start (BS/MS)
+153,2025-03-29,Costa Mesa,CA,Experian,http://www.experianplc.com/,"Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.
+We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.
+We invest in talented people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.","Job Posting - Salary Range: See pay range in the job description belowCompany DescriptionExperian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.comJob DescriptionEmployer: Consumerinfo.com, Inc.Job Title: Data ScientistJob Location: 475 Anton Blvd., Costa Mesa, CA 92626Develop machine learning algorithms with huge data sets to solve challenging business questions; Improve performances of existing algorithms; Discover new data sources and create new input features for ML models; Build end to end data pipeline for ML models; Communicate key analytical results to stakeholders.QualificationsEmployer will accept a Master's degree in Machine Learning, Data Science, Computer Science, Statistics or related field.Position Requires Experience In The FollowingExperience with statistical modeling techniques such as regression, support vector machines, and neural netsExperience with natural language processingExperience with deep learning algorithms such as convolutional neural networks and recurrent neural networks.Experience with API development and comfortable working in a Linux environment.Experience with building end to end scalable ML solutions from data aggregation to model deployment.Experience in Python, R, SQL and SparkSQL. Additional InformationPay range for this role is $96,678.00 - $151,230.00, with actual pay based on work location, job-related skills, experience and education. Role incl. variable pay and comprehensive benefits. To apply please go to https://www.experian.com/careers/.",Entry level,Data Scientist
+154,2025-04-07,Springfield,PA,Gap International,http://www.gapinternational.com/,"Gap International is a global performance consulting company that works with executives and their organizations to produce extraordinary business results in the ever-changing marketplace.
+
+Gap International’s unique approach focuses on changing mindsets to change performance, and growing companies while growing their leaders. With proprietary methods based on the correlation between thinking and performance, Gap International consults with individuals, teams, and organizations to break through existing paradigms and past-based assumptions that keep performance at current levels. When leaders understand and unlock extraordinary thinking, exceptional growth is not serendipitous, it’s predictable and repeatable.
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+Gap International has worked with over 50,000 executives in 1,500 organizations across 65 countries—from CEOs and executives of Fortune 1000 companies to entrepreneurs. Headquartered in Philadelphia, Gap International has experience in every major industry sector, including manufacturing, retail, energy, FMCG, pharmaceuticals, healthcare, technology, telecommunications, and financial services. ","GAP INTERNATIONAL – A unique, purpose-driven, consulting companyABOUT GAP INTERNATIONALGap International is a forward-thinking consulting firm dedicated to leveraging cutting-edge technologies to deliver innovative solutions tailored to our clients' needs. We are a team of passionate problem-solvers committed to excellence and innovation. As part of our growth strategy, we seek an Artificial Intelligence/Machine Learning Engineer to contribute in pushing the boundaries of AI and ML and create innovative solutions for internal as well as client-facing projects within a dynamic, small company environment. This role offers a unique opportunity to contribute to a wide range of transformative projects such as dialog driven learning and knowledge discovery, as well as the acceleration of various business processes.ABOUT THE ROLEYou will be part of a tight-knit, productive, and highly collaborative research and development team. As an AI/ML Engineer, you will be responsible for designing, developing, and deploying machine learning models and AI solutions to solve complex problems and improve operational efficiency within our organization. Your contributions have the chance to create significant impact on our products as well as the scientific community. The role involves working closely with cross-functional teams to understand requirements, explore and visualize data, build predictive models, and integrate effective AI/ML solutions into our internal processes and digital products.RESPONSIBILITIESCollaborate with project stakeholders to define scope, objectives, and requirements for AI and ML-driven projects.Research, design, and implement algorithms and models that can learn from and make predictions or decisions based on data.Collect, clean, and preprocess data from a variety of internal and external sources.Evaluate the efficacy of different models and algorithms using appropriate metrics and statistical methods.Keep abreast of developments in AI/ML to continuously improve and update models and techniques.Prototype, deploy, and maintain AI/ML models in a production environment, ensuring they are scalable, reliable, and efficient.Document the development process, architecture, and standard operating procedures for models and systems.Work closely with IT and software development teams to integrate AI/ML solutions into our internal tools and workflows.Assist in identifying opportunities for leveraging AI/ML to gain competitive advantages in our consulting services.REQUIREMENTSCompleted a PhD degree in Computer Science, Data Science, Artificial Intelligence, or a relevant technical field.Proven experience as an AI/ML Engineer, Data Scientist, or in a similar role, with a track record of designing and implementing machine learning models and algorithms.Strong programming skills in Python or other relevant languages, and familiarity with AI/ML frameworks (e.g., PyTorch, Scikit-learn, as well as various Large Language Models, Prompt Engineering, Retrieval-Augmented Generation, AI agents, just to name a few).In-depth understanding of machine learning algorithms, deep learning architectures, and statistical modeling techniques.Experience with data engineering tools and platforms, and proficiency in handling large, complex datasets.Excellent problem-solving and analytical skills, with an ability to work on complex projects and translate business challenges into AI/ML-driven solutions.Strong communication skills, both verbal and written, with the ability to effectively convey complex technical concepts to non-technical stakeholders.Ability to work independently as well as part of a collaborative team in a fast-paced environment.GAP INTERNATIONAL ASSOCIATESPurposeful people at work impacting companies around the world.People who thrive in a learning environment and enjoy learning, growing, and performing at their best; energized to continually push beyond their comfort zone.Comfortable with ambiguity; eager to take on things they don't know how to do.Curious and flexible when it comes to their own growth and development, as well as receptive to coaching and feedback to maximize their potential.Willing to communicate and contribute thoughts, insights and new ideas to senior leaders both internally and externally.WHAT WE OFFERA role with significant impact and visibility within the company.Opportunities for professional growth and development in a supportive and collaborative environment.Competitive salary commensurate with experience.A dynamic and inclusive company culture.TO APPLYPlease submit your resume which includes a list of publications, a cover letter explaining your interest and how your skills and experience meet the qualifications of the position, and any relevant portfolio or GitHub links showcasing your previous work or projects.Gap International associates are based out of our corporate office in the Philadelphia metropolitan area. In order to be considered for this role, applicants should be legally authorized to work in the US.",Associate,Artificial Intelligence / Machine Learning Research Engineer
+155,2025-04-07,San Francisco,CA,Equilibrium Energy,http://www.equilibriumenergy.com,"Equilibrium is the leader in energy portfolio optimization capabilities and services for the power industry. Equilibrium's Augmented Intelligence Platform (""EQ AI"") leverages AI-powered capabilities to help power companies and corporations unlock the full potential in optimizing their energy portfolios. We're working with our customers to create a cleaner, better world.","About Our CompanyEquilibrium Energy is revolutionizing the clean energy transition by developing innovative grid-scale energy storage solutions. Our technology and market platform helps utilities, independent power producers, and commercial customers optimize their renewable energy assets, improve grid reliability, and accelerate decarbonization. As a fast-growing climate tech company, we're building infrastructure that will shape the future of energy markets and enable a sustainable energy economy.Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We're looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.What we are looking forOur power sector is in the middle of a major transformation. Its increasingly renewable resource mix and demand-side changes require algorithmic management far beyond what was historically required. Because of this, scalable model development and deployment is at the heart of what EQ does. We are looking for experienced ML engineers who are passionate about helping to deliver this scientific platform – to stay at the forefront of AI/ML technology and operationalize those solutions at enterprise scale.What you will doYou will be a member of EQ's Science Platform team. Our Science Platform enables our internal data scientists, as well as external customers, to develop, experiment with, deploy, and monitor forecasting and optimization models at scale. We sit between our data and infra engineers and our scientists - developing frameworks for model development that are both robust and efficient to iterate within. We help bring the algorithmic capabilities of our scientists to a broad range of customer energy applications.Key Responsibilities:Develop and maintain scalable ML pipelines, used to support forecasting and optimization modelsDesign frameworks that support model experimentation, hyperparameter tuning, training, and deploymentCollaborate closely with data scientists to understand new model requirements and together implement solutions that are robust, validated, and scalableIntegrate with data and compute infrastructure to optimize resource utilization and performanceImplement automated testing and monitoring for ML models in productionPartner with our Product and Customer Delivery teams to enable external customers to perform similar tasks to our internal scientists, with minimal code divergence and following security best practicesStay up-to-date with the latest advancements in ML engineering and integrate best practices into the platformThe minimum qualifications you'll needA commitment to clean energy and combating climate changeProficiency in Python software developmentFamiliarity with automated build, deployment, and orchestration tools such as CI/CD, Pants, Docker, Metaflow, and KubernetesStrong understanding of data pipelines, ETL, and data infrastructureExperience with observability tooling like Grafana, Honeycomb, and PrometheusExperience with common machine learning algorithms and libraries (xgboost, sklearn, pytorch, pandas, polars, pandera)Prior experience in operationalizing machine learning workflowsAgility in working with cross-functional teams and adapting to new work methodologiesFamiliarity with agile practices, or a willingness to learnStrong communication skills for collaborating within a remote-first team that works internationally across timezonesNice-to-have additional skillsAn advanced degree in computer science or machine learningExperience in time series forecastingExperience building tools that support data scientistsExperience with Databricks, Spark, and dbtBackground in the energy and power systems sectorNot sure this is the right role for you?We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role.What we offerEquilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. Our experience in the space means we've previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment.Employee benefits include:Competitive base salary and a comprehensive medical, dental, vision, and 401k packageOpportunity to own a significant piece of the company via a meaningful equity grantUnlimited vacation and flexible work scheduleAbility to work remotely from anywhere in the United States, Canada & Europe, or join one of our regional hubs in Boston, SF Bay Area, or LondonAccelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and techEquilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.",Mid-Senior level,Machine Learning Engineer
+156,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $173,000-$259,000 annually.Zone B:The base salary range for this position is $164,000-$246,000 annually.Zone C:The base salary range for this position is $147,000-$220,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 4"
+157,2025-03-27,Washington,DC,The World Bank,http://www.worldbank.org,"The World Bank is a vital source of financial and technical assistance to developing countries around the world. Our vision is to create a world free of poverty on a livable planet.
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+We are not a bank in the common sense; we are made up of two unique development institutions owned by 189 member countries: the International Bank for Reconstruction and Development (IBRD) and the International Development Association (IDA).
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+Each institution plays a different but collaborative role in advancing the vision of inclusive and sustainable globalization. The IBRD aims to reduce poverty in middle-income and creditworthy poorer countries, while IDA focuses on the world's poorest countries.
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+Their work is complemented by that of the International Finance Corporation (IFC), Multilateral Investment Guarantee Agency (MIGA) and the International Centre for the Settlement of Investment Disputes (ICSID).
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+Together, we provide low-interest loans, interest-free credits and grants to developing countries for a wide array of purposes that include investments in education, health, public administration, infrastructure, financial and private sector development, agriculture and environmental and natural resource management.","Data Scientist Job #: req32521Organization: World BankSector: EconomicsGrade: GFTerm Duration: 3 years 0 monthsRecruitment Type: International RecruitmentLocation: Washington, DC,United StatesRequired Language(s): EnglishPreferred Language(s)Closing Date: 4/15/2025 (MM/DD/YYYY) at 11:59pm UTCDescriptionThe World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 120 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. For more information, visit www.worldbank.orgThe Trade Unit (ETIRI) is part of the Prosperity Vice Presidency. In ETIRI, we are responsible for delivering analytic, advisory, financial and convening services in the areas of trade policy, trade facilitation, logistics and connectivity, and regional integration.Considering the fast trend in digitization of trade transactions and supply chains, the Trade unit is ramping up its analytical capacity relying on Big Data and machine learning techniques. These are game changers for knowledge development and policy engagement.ETIRI is hiring a Data Scientist to contribute to analytical and technical assistance engagements at global and country levels on trade-related issues.Duties And ResponsibilitiesThe successful candidate will work to broaden and deepen the World Bank Group’s trade policy program including, but not limited to: Contribute to analytical studies relying on big data, such as the flagship Logistics Performance index (LPI), among others. Contribute to the maintenance and updating of big data sets, including through partnering with external providers. Implement big data pipelines for processing data sets of various types and scales to generate insights for analytical products to guide knowledge development and policy engagement. Support to other trade team members engaged in the production and research in preparing reproducibility packages, and liaison with corresponding team in the research group. Participate in the development of new knowledge products and instruments that can be mainstreamed into country work, including the development of toolkits for analytical work relying on big data and machine learning. Contribute to country level analytics and support regions by engaging in the policy dialogue with client countries and participating in lending projects initiated by country teams. This may involve the preparation of briefs, PowerPoint presentations, and policy notes for both internal and external audiences, reviewing and commenting on key documents, consultations, and stakeholder engagement activities through lending and non-lending activities (i.e., projects, programs, analytical work, etc.). Participate in knowledge sharing and learning activities of the Trade Unit, and organize and contribute to dissemination activities, conferences, workshops and learning programs. Participate in and contribute to knowledge sharing and learning activities of the Data Science & Statistics Community. Participate in and expand the scope of partnerships established with other units and organizations active in big data analytics in relation to trade. Support the Practice Manager and the Global Practice with corporate demands and quality control of deliverables. Present the team’s work at internal and external knowledge exchange and dissemination events.Selection Criteria Masters or Advanced Degree in relevant field (data science, economics, trade), with at least 5 years of relevant professional experience in data science (or PhD degree in relevant field, and at least 2 years of relevant professional experience). Demonstrated professional experience in the analytics of trade-related issues. Strong analytical and organizational skills and proven ability to conduct independent quantitative research. Proficiency in Python and most common packages such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. Familiarity with GIS, and common database languages (e.g. SQL). Proficiency in big data processing and experience with tools such as Databricks, PySpark, or similar stack. Demonstrated experience in using workflow management and code versioning tools such as GitHub. Demonstrated experience with implementation of machine learning techniques including common supervised learning algorithms, unsupervised algorithm, and exposure to neural networks, including for image and language processing. Strong understanding of the data life cycle, the dimensions of data quality, reproducible research practices, and data protection. Demonstrated ability to work in a team environment with multiple priorities and tight deadlines. Excellent communication skills, both written and oral. Experience with data visualization. Demonstrated ability to take leadership and communicate ideas effectively under pressure.World Bank Group Core CompetenciesThe World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.Learn more about working at the World Bank and IFC , including our values and inspiring stories.",Entry level,Data Scientist - req32521
+158,2025-01-22,,,Adapter,https://www.adapter.com,"We are building the next generation of tools that at their core reimagine how real people interact with collaborative and intelligent technologies in their daily lives. We are not focused on the 10% or 20% improvement. We are focused on the reinvention of our collective abilities.
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+We are a team of engineers, scientists, creatives, and innovators who are united in the belief that these technologies can be harnessed to improve the daily lives of people around the world. We are backed by some of the industry’s most respected and accomplished thought leaders, doers, and venture investors.
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+We have been focused on this mission quietly for a while now. Last year, the mass market began engaging with these systems in a meaningful way for the first time. Yet, in a lot of ways this shift took place with an asymmetric benefit to large organizations. We believe that there is no fundamental reason why we as individuals can’t also reap these enormous benefits. Focus, ingenuity, and hard work are all that separate this potentiality from reality.","Our StoryThe widespread adoption of intelligent technologies powered by automation, AI, ML, and knowledge graphs is accelerating. As these technologies become increasingly accessible, our aim is to make their capabilities empowering, trustworthy, and useful to real people in the real world.Adapter was founded in 2022 by Adam Ghetti and Dr. David Bader, with the support of some of the most esteemed Tier 1 Silicon Valley firms and individual entrepreneurs. We are a small but dedicated team, currently working towards solving a significant problem. We recognize the importance of being early movers in this field, and have assembled a well-supported and passionate team to do so.What We Are Looking ForWe are looking for a Machine Learning Engineer who will play a critical role in fine-tuning transformer-based models using automation pipelines and implementing real-time fine-tuning pipelines in production environments.You will partner with a brilliant team of designers, engineers, and innovators and will be at the cutting edge of some of the most interesting consumer use-cases for intelligent technologies.We have established a culture that promotes both remote work and in-person collaboration, with team members currently dispersed between Austin, NYC, and the Bay Area. We believe that the integration of these two elements allows for maximum productivity and creativity as we strive to achieve our goal.ResponsibilitiesUse the latest cutting edge technologies such as LLMS, multimodal models to handle complex problems.Work with large datasets, perform data preprocessing, and engineer relevant features to enhance model performance.Build frameworks that allow us to iterate and evaluate model versions (ranking, accuracy, latency).Deploy Models at Scale: Collaborate with software engineers to deploy machine learning models into production, ensuring seamless integration with existing systems.Monitoring and Maintenance: Implement monitoring solutions to track model performance in real-time and perform regular maintenance and updates as needed.Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and business analysts, to understand requirements and deliver impactful solutions.Research and Innovation: Stay abreast of the latest advancements in machine learning and contribute to the research and development of innovative solutions.QualificationsExperience with optimizing models for size, cost, and latency is a plus.Proficient in designing, developing, and operating fine-tuning pipelines in production environmentsExperience with large-scale data processing and distributed systemsStrong programming skills in Python, and proficiency in machine learning libraries such as PyTorch, Tensorflow etc.Work Experience3+ years of experience in similar role, focus on developing and deploying ML models in production environments Startup experience is a plusBenefitsEarly stage equityComprehensive health insuranceGenerous PTORemote and in person cultures that promote collaborationFull compensation packages are based on candidate experience and certifications.United States - Remote Pay Range: $180,000 USD - $225,000 USD",Not Applicable,Machine Learning Engineer
+159,2025-04-07,Brooklyn,NY,Etsy,http://www.etsy.com,"Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. Etsy Inc. employees – whether a team member of Etsy, Reverb, or Depop – tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
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+Founded in 2005, Etsy is headquartered in Brooklyn, NY with additional offices in Dublin and Mexico City. As of December 31, 2023, our marketplaces connect 9 million active sellers – including 7 million on Etsy.com, 80% of whom are women – and 96 million active buyers in nearly every country in the world. In 2023, we facilitated over $13 billion in transactions.","Company DescriptionEtsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.Salary Range$183,000.00 - $216,000.00What’s the role?Etsy is hiring a Senior Machine Learning Engineer, Risk to join the Risk Engineering organization. Our team keeps Etsy a safe and trusted marketplace by building advanced and scalable ML technologies to detect and prevent risk and fraud. We are looking for passionate individuals that are committed to applying Machine Learning to deliver customer impact.This is a full-time position reporting to the Senior Engineering Manager, Risk ML. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here.What’s this team like at Etsy?Our work tackles pressing, real-world problems, including detection of transactional fraud, fake account creation, collusion fraud, and more. As a member of the product team, this role is an exciting opportunity to collaborate with experienced ML professionals on large-scale projects protecting millions of users.Example ProjectsBuild large-scale graphs of users/listings/transactions, and develop and deploy state-of-the-art graph models for risk/fraud mitigation. Build unsupervised/semi-supervised anomaly detection models to identify emerging patterns with high precision. Implement and compare supervised learning models (GBDT and DNNs), or ensembles of models, to improve key metrics, often with multiple competing objectives.What does the day-to-day look like?Solve customer and business problems (protecting against seller fraud, transactional fraud, account takeover, fake accounts, etc.) using machine learning techniques like deep neural networks, graph ML, and anomaly detection.Take ideas and scale them to millions to users. Develop and implement end-to-end plans, including idea generation, project planning, model development, production model serving, and ownership of model performance.Architect new and improve on existing ML systems, including building data architectures, enabling faster and more robust model development, and improving model serving and orchestration.Conduct A/B experiments to validate the efficiency of ML models and pipelinesCollaborate with team members and cross-team partners for problem identification, technical design/delivery, and product operationalization.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.Qualities that will help you thrive in this role are:You have a Ph.D. degree in a quantitative field (e.g., computer science, industrial engineering, applied math, statistics) and 2+ years of industry experience on ML applications, or a M.S. degree in related fields and 5+ years of industry experience on ML applications.You have focused experience building large scale data infrastructure, especially for graph data processing and storage. You have experience deploying, debugging, and fine-tuning machine learning models in large-scale production systems in public clouds, with experience in Infrastructure as Code.You are comfortable with using GIT, Linux environments, dockers, and other tools for writing robust, production-ready code.Experience building ML models in the fraud/risk management space is a plusGoogle Cloud Platform (GCP) experience is a plusAdditional InformationWhat's NextIf you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.Our PromiseAt Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.",Mid-Senior level,"Senior Machine Learning Engineer I, Risk"
+160,2025-03-22,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
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+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Labeling Platform Team creates data solutions to power groundbreaking research and development during all stages of model training: pretraining, supervised fine-tuning, reinforcement learning, etc. The labeled data that the team produces is used to directly enhance and evaluate the Waymo Driver as well as the vast variety of models that power other parts of the business.You WillBuild a Data Flywheel: Design and implement systems that continuously improve the Waymo Driver. This involves creating a feedback loop where labeled data not only trains models but also informs the next generation of data collection and labeling, leading to iterative improvements in quality and efficiency.Collaborate with ML practitioners on models for perception, behavior prediction and planner to understand their models and help them define data requirement,Develop automation to both produce the labels and/or find problematic label issues within the already produced labeled datasets.Build large scale distributed systems that index and serve the large amount of labeled data to model training pipelines.You HaveBachelor's degree in Computer Science, Engineering, or related field, and 2+ years equivalent experienceExperience in producing and managing large scale ML training datasets.ML Model development experienceExperience in programming C++ or Python.We PreferExperience in developing human + ML interaction schemes to boost productivity and quality of label generation.Experiencing programming using Typescript.Hands-on experience with LLM/GenAI-based products.Experience using open source computer vision models such as YOLO and SAM.This role reports to an Engineering ManagerThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$170,000—$216,000 USD",Entry level,"Machine Learning Engineer, Labeled Data"
+161,2025-01-17,San Francisco,CA,Aura Intelligence,https://www.getaura.ai/,"Aura Intelligence is a premier platform for Organizational Decision Intelligence (ODI). We empower organizations to transform fragmented workforce and competitive data into actionable insights, driving smarter, faster, and more effective decisions. By delivering real-time analysis of hiring trends, workforce dynamics, skills evolution, and competitive benchmarks, we enable consulting firms, private equity, and enterprises to optimize strategies, mitigate risks, and achieve superior outcomes.
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+Founded within Bain & Company and now an independent powerhouse, Aura Intelligence is redefining how businesses leverage workforce analytics to thrive in a rapidly changing world.
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+Learn more at www.getaura.ai.","We are seeking a skilled Machine Learning Engineer to join our growing MLOps team. In our fast-paced startup environment, you'll work closely with our data scientists and data engineers to productionize models and build robust, scalable classification systems. You will have the autonomy to drive the evolution of our ML infrastructure—from development through deployment—and make a direct impact on our product's success.Key Responsibilities:  Develop and Optimize ML Pipelines:Write efficient, clean, and maintainable Python code to implement machine learning pipelines for various classification projects. Ensure these pipelines meet production-grade standards for performance and scalability. Production Deployment:Deploy and optimize diverse classification models—including cross-encoders, bi-encoders, transformers, and custom PyTorch networks—ensuring effective GPU/CPU resource management, memory optimization, and scalability tuning. End-to-End System Ownership:Take full responsibility for deployed ML systems, including incident response, performance monitoring, and ongoing quality maintenance with minimal supervision. Data Integration and Analysis:Collaborate with the data engineering team to analyze model inputs/outputs, validate predictions, and explore potential feature improvements using SQL. MLOps Infrastructure & CI/CD:Build and maintain robust, extensible, and reproducible MLOps infrastructure. Establish and manage CI/CD pipelines, and set up observability for system metrics, logs, and alerts. Collaboration and Continuous Improvement:Contribute to technical design discussions, help break down implementation tasks, and address technical debt as needed. Work cross-functionally with both engineering and data science teams to continuously refine our deployment processes.Day-to-Day WorkYou'll be responsible for implementing and maintaining the classification systems that form the backbone of our data platform. This includes:Translating research models into production-ready codeDeveloping and optimizing inference pipelinesManaging compute resources and scaling solutionsResponding to and resolving production incidentsCollaborating with data scientists to improve model deployment efficiencyWriting and analyzing SQL queries to monitor model inputs/outputs and validate prediction quality. We're looking for someone who can work independently and take ownership while maintaining high standards. You'll have a real impact in shaping our MLOps practices and building scalable ML systems that matter. If you're passionate about turning ML research into production-ready solutions and care about writing quality code, we'd love to hear from you.RequirementsExperience:5+ years of hands-on experience in ML engineering or related roles with a PhD. 7+ years of experience otherwiseStrong expertise in NLP methods and tools (transformers, BERT, GPT, LLM)Proven track record in entity resolution and large-scale data integration challengesExtensive production experience in MLOps (AWS, Snowflake, or similar cloud platforms)Proficiency in Python, PyTorch, TensorFlow, or equivalent ML frameworksPreferred Qualifications Technical Skills:Strong proficiency in Python and production-grade software developmentSolid understanding of GPU acceleration, resource optimization, and scalable ML inference pipelinesStrong SQL skills and experience with data warehousesFamiliarity with AWS (particularly S3) and broader cloud computing concepts DevOps & Testing:Experience setting up observability (metrics, logging, and alerting) for ML systemsProficiency with CI/CD practices and testing frameworks (pytest for unit, integration, and model evaluation testing)Knowledge of version control (Git) and best practices in documentation Problem-Solving & Communication:Excellent problem-solving skills with a proven ability to debug complex production issuesStrong communication skills to effectively collaborate with both technical and non-technical team membersExperience with containerization (e.g., Docker) and orchestration platforms (e.g., Kubernetes)Familiarity with serverless compute platforms (e.g., Modal) and workflow orchestration tools (e.g., Dagster)Knowledge of additional classification models (e.g., XGBoost, FastText) and broader data engineering conceptsUnderstanding of data versioning, experiment tracking, and model registry practicesExperience with observability platforms (e.g., Datadog) and data warehouses like SnowflakeExperience working with LLMs in production",Mid-Senior level,Machine Learning Engineer - MLOps Team
+162,2025-03-31,Annapolis Junction,MD,Interclypse,https://interclypse.com,"Interclypse is a small business headquartered in Annapolis Junction, Maryland, focused on solving complex problems for customers across the US Intelligence Community and customers in the federal and state government and commercial industries since 2007. We combine world-class engineering talent with proven engineering best practices, domain expertise, and a proven agile management methodology to meet our customers' most critical business and mission objectives.  
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+The Interclypse team is on a continuous mission to have a positive transformational impact on society, community, industry, and individuals! Our team accomplishes this mission by continuously ""Doing What is Right."" ","DescriptionInterclypse is seeking Data Scientists.The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career.Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.RequirementsEducationDegree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required.Primary ResponsibilitiesEngage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.To succeed in this position; you need to be curious, creative, and tech-savvy.You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms.You must be persistent and have excellent analytical and problem-solving skills.Devise strategies for extracting semantic value from large datasets.Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions.Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.Required Skills/ExperienceExperience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora)Experience with programming in R, Python, JavaExperience with NoSQL databases ( e.g., MongoDB, Accumulo)Experience designing data models and approachesExperience working in a cloud environment ( e.g., AWS, Azure)Experience with LinuxExcellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levelsAbility to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environmentDesired Skills/ExperienceExperience with programming in TensorFlow, PyTorchExperience with Hadoop, MapReduceExperience with TableauExperience with CognosExperience with designing, implementing, and using REST APIsExperience with RDF/OWL, SPARQL, and Semantic Web technologiesExperience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plusExperience with Data catalogs and data managementAbility to help visualize the data for analysis and to display resultsWhy You Might Like This JobYou’re tired of working for a massive organization.You want to work for an established company that values your stable career.You want to work with a team who loves their job and making cool stuff.You want to be part of a team focused on making a positive impact.You want to grow your skills in management or work toward becoming an expert.You want to have the option for career mentorship, both in technology and in business.You value a company with a strong culture of growth and support.BenefitsEmployee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity.Comprehensive time off and leave programs:31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdaysParental Leave: 40 HoursBereavement Leave: 24 hours.Military Reserve Leave (up to 80 hours, see employee handbook for details).Jury Duty Leave 16 hours.Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximumHealth Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details).Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for familiesVision InsuranceDental Insurance includes orthodontics coverageLife InsuranceAccidental Death and Dismemberment InsuranceDisability: Short-term and long-term disability coverageEducational support: reimbursement up to the federal max of $5,250Company apparel: $200 for company apparel each yearSocial events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and moreInterclypse isn’t your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: ""Doing What is Right"". Apply today to see how you can join our winning team and start down the career path that’s right for you!EOE AA M/F/Vet/DisabilityInterclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate’s experience and education/training, internal peer equity, and market and business consideration.",Entry level,Data Scientist - All Levels
+163,2025-03-26,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize , build, and scale content. It’s a natural extension of the technology Adobe has produced over the past 40 years.At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models and the associated prompt engine. This is an opportunity to reach millions of creatives, helping them recreate the way they work.What You Will Do Develop and optimize machine learning solutions with cutting-edge architectures that impact millions of users across Adobe’s products.  Enhance Firefly’s inferencing pipeline to power generative AI features across multiple platforms, including Firefly Web, Photoshop, Illustrator, Express, and Stock.  Design GPU-optimized, efficient model pipelines that serve diverse modalities such as images, vectors, and 3D assets.  Ensure scalability and reliability of Firefly’s cloud services, incorporating observability, logging, and tracing to enable rapid issue detection and resolution.  Develop key business logic for Firefly services, including usage metering, entitlement checks, quota management, and upsell workflows. What You’ll Need To Succeed PhD or Master’s in Computer Science , Computer Engineering, Computer Vision, Robotics, or a related field—or equivalent experience.  3+ years of hands-on experience developing production-grade machine learning models using PyTorch and Python.  Proven expertise in GPU-intensive ML workloads , including optimization, scaling, and deployment in production environments.  Strong knowledge of model serving and orchestration , including GPU resource management for scalable ML systems.  Deep understanding of Visual Foundation Models (e.g., Transformers, Diffusion) and Multimodal Language Models (e.g., Text-to-Image, Image-to-Text, Text-to-Video), including evaluation methodologies and productization challenges.  Excellent problem-solving skills , with the ability to analyze complex issues and drive solutions with a data-driven approach.  Strong collaboration and communication skills , with a proven ability to work in cross-functional teams. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status.#FireflyGenAIOur compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,"Machine Learning Engineer, Generative AI"
+164,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $173,000-$259,000 annually.Zone B:The base salary range for this position is $164,000-$246,000 annually.Zone C:The base salary range for this position is $147,000-$220,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 4"
+165,2025-02-19,Munich,Bavaria,XPENG Deutschland,https://www.xpeng.com/de,"XPENG is a leading electric vehicle company headquartered in Guangzhou, China with offices in the US and Europe. The company is committed to driving the transformation of smart EVs through technology and shaping the mobility experience of the future. To optimize the mobility experience of its customers, XPENG develops in-house comprehensive technology for advanced driver assistance systems and in-vehicle intelligent operation system, as well as the core systems of the vehicle, including the powertrain and electric/electronic architecture.","XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.We are looking for a full-time Machine Learning Engineer - AI Foundation, with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure for training very large foundation model and accelerating model training/inference. Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.Job ResponsibilitiesDesign, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles. Minimum Skill RequirementsMaster in CS/CE/EE, or equivalent, in industry experience. Good knowledge of PyTorch. Knowledge of model training framework (e.g. PyTorch Lightning) Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models. Experience of using pytorch ddp for distributed training of models. Preferred Skill RequirementsPrevious experience in the autonomous driving industry. Knowledge of Torchscript and Nvidia TensorRT. Being efficiently in solving complex problems collaboratively on larger teams What Do We ProvideA fun, supportive and engaging environment Infrastructures and computational resources to support your work. Opportunity to work on cutting edge technologies with the top talents in the field. Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving Competitive compensation package Snacks, lunches, dinners, and fun activities The base salary range for this full-time position is $148,909 - $252,000 in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.",Entry level,Machine Learning Engineer - AI Foundation
+166,2025-04-07,Fort Lauderdale,FL,INSPYR Solutions,https://www.inspyrsolutions.com,"Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com","Position: Machine Learning EngineerLocation: RemoteDuration: 12 months Compensation: $85/hr. - $95/hr.  Work Authorization: US Citizen, GC Holders or Authorized to Work in the U.S.Job SummaryIn this role you will partner with data scientists and engineers to build and deploy large-scale feature sets for, and collaborate on, a machine-learning model.Responsibilities:Feature engineering and optimization: Acquire new data and conform it to usable model features; develop and maintain pipelines using orchestration and data management tools; develop and deploy scalable streaming and batch data pipelines to support petabyte scale datasets for these features. Model development, deployment and optimization: work together with the data scientists and engineers to build and deploy models in large-scale production environments.Best practices: Maintain existing and establish new development, testing, and deployment standards.Collaboration: identify and define opportunities for data collection, feature development, model development, testing, monitoring, and experimentation..Basic Qualification:Bachelor’s degree in computer science, mathematics, or related fields.5+ years of relevant experienceExperience with data engineering technology and best practicesExperience with building, training, and deploying machine learning modelsExpertise in Python and SQLExpertise in Spark, Snowflake, and dbtExperience working in AWS environmentsExperience working with data subject to privacy, governance, and legal policies.Preferred Qualifications:Proficiency in Databricks and Snowflake in AWS environmentsExperience working in machine learning frameworks such as SparkML, scikit-learn, PyTorch, Keras.Experience with Github, Airflow, Scala, and JavaProficiency in DevOps and CICDExperience with multiple model deployment toolsExperience with MLflow or other tracking toolsExperience working with Agile teamsExperience with data science focused feature storesStrong data analysis and visualization skillsExperience applying mathematical and statistical methods to dataRequired Education:BA/BS Degree Comp Sci/IS/MathOur benefits package includes: Comprehensive medical benefitsCompetitive pay, 401(k)Retirement plan…and much more! About INSPYR SolutionsTechnology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. ",Entry level,Machine Learning Engineer
+167,2025-04-02,New York,New York,Warner Music Group,http://www.wmg.com,"Warner Music Group (WMG) brings together artists, songwriters, entrepreneurs, and technology that are moving entertainment culture across the globe. Operating in more than 70 countries through a network of affiliates and licensees, WMG’s Recorded Music division includes renowned labels such as 10K Projects, 300 Entertainment, Asylum, Atlantic, Big Beat, EastWest, Elektra, Erato, First Night, Fueled By Ramen, Nonesuch, Parlophone, Reprise, Rhino, Roadrunner, Sire, Spinnin’, Warner Records, Warner Classics, and Warner Music Nashville. WMG’s music publishing arm, Warner Chappell Music, has a catalog of over one million copyrights spanning every musical genre, from the standards of the Great American Songbook to the biggest hits of the 21st century. Warner Music Group is also home to ADA, which supports the independent community, as well as artist services division WMX.","Job Description:At Warner Music Group, we’re a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we know that each talent makes our collective bolder and brighter. We are guided by four core principles that underpin everything we do across all our diverse businesses:Music is Everything: Music is our passion, and we can never get enough. Tastes, trends, and tech will change, but great artists and songwriters will always be our driving force.Global Growth, Local Expertise: Music is a global language. Through communication and collaboration, our success can come from anywhere and translate everywhere.Innovation and Insight: Pushing the boundaries requires the best information and the boldest imagination. We use both to create the future.Empowered by People: Like the artists we serve and the music they make, our differences make us stronger. This is a place where every talent can belong and build a career.WMG is home to a wide range of artists, musicians, and songwriters that fuel our success. That is why we are committed to creating a work environment that actively values, appreciates, and respects everyone. We encourage applications from people with a wide variety of backgrounds and experiences.Consider a career at WMG and get the best of both worlds – an innovative global music company that retains the creative spirit of a nimble independent.A little bit about our team:WMG’s Business Intelligence team (BI) works to influence WMG’s strategy and day-to-day operations by developing thoughtful insights & intelligence from its core business practices. The Data Scientist will work with various departments across Warner Music’s Central Functions, Recorded Music, & Music Publishing Divisions to understand the trends and dynamics that drive the constant evolution of our business. Our goal for this role is to strengthen our analytical power and bring improved rigor to the insights we deliver to our family of labels and operators. We work with partners across the company to establish best practices for breaking artists and sustaining catalog repertoire across consumption platforms, gauge the impact of marketing initiatives and campaigns, and work to understand user behavior around the world.Your role:Intelligence is the lifeblood of today’s music business, and in this role you’ll get a chance to apply your creativity and problem-solving skills to help our labels and artists connect with consumers across an array of media and mediums. Because the BI team works closely with departments across the company, the Data Scientist will have the opportunity to see the inner workings and decision-making within a global music company - and the ability to influence those decisions with thoughtful intelligence work. We’re a collaborative team that loves learning new things, sharing ideas, thinking about the future of the music industry – and helping our company get there.Here you’ll get to:Lead data science projects from inception to completion on topics such as consumption and revenue forecasts, digital advertising forecasts, global trends analysis, business performance trends, and more.Apply advanced data analysis and statistical modeling techniques to address complex business challenges. Develop and maintain production-level models, ensuring accuracy and efficiency.Work closely with Business Intelligence, Strategy, Corporate Finance, and operators to understand business needs, and provide actionable insights to a diverse audience across the business.Proactively identify areas where data science can add value by experimenting with different hypotheses and techniques to improve existing processes and techniques within the BI team. Utilize advanced tools and frameworks for data analysis, modeling, and visualization. Promote and participate in a culture of continuous learning within the team by providing feedback, sharing knowledge, and mentoring more junior team members.About you:Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 3-5 years of full-time post-graduation experience in the music, entertainment, sports, or financial services industry. Candidates with a PhD can be considered for this level.Experience and comfort in working with data from globally-trusted third-party sources like the UN, IMF, OECD, and World Bank.Demonstrated ability to lead and execute data science projects with minimal supervision.Proficiency in programming languages such as Python or R for data analysis and model development.Experience with machine learning frameworks and statistical tools.Strong understanding of SQL and working with large datasets.Familiarity with data visualization tools like Tableau or Power BI.Expertise in fundamental data analysis, machine learning, and statistical modeling techniques.Ability to quickly learn and adapt to new techniques and technologies.Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.Strong problem-solving abilities, with a bias towards action and a proactive approach to identifying opportunities and challenges.We’d love it if you also had:Familiarity with the streaming music landscape or other digital mediaExperience building analytical products and dashboards within BI software like Tableau or other environments like Streamlit.About us:As the home to 10K Projects, 300 Elektra, Asylum, Atlantic, East West, FFRR, Fueled by Ramen, Nonesuch, Parlophone, Rhino, Roadrunner, Sire, Warner Records, Warner Classics, and several other of the world’s premier recording labels, Warner Music Group champions emerging artists and global superstars alike. And our renowned publishing company, Warner Chappell Music, represents genre-spanning songwriters and producers through a catalogue of more than one million copyrights worldwide. Warner Music Group is also home to ADA, which supports the independent community, as well as artist services division WMX. In addition, WMG counts film and television storytelling powerhouse Warner Music Entertainment among its many brands.Together, we are Warner Music Group: Music With Vision & Voice.Love this job and want to apply?Click the “Apply” link at the top of the page, or apply directly with your LinkedIn. Applying with LinkedIn will import all of the information you put in your profile, but will still allow you to upload a resume and cover letter.Don’t be discouraged if you don’t hear from us right away. We’re taking our time to review all resumes, and to find the best people for WMG.Thanks for your interest in working for WMG. We love it here, and think you will, too.andEffective October 1st, this position will require being in the office 4 days a week. We believe that an in-office presence is critical for talent development, collaboration and building strong relationships.Salary Range$150,000 - $160,000 AnnuallySalary ranges are included for job postings where required by law. The actual base pay is dependent upon many factors, such as work experience and business needs. The pay range is subject to change at any time dependent on a variety of internal and external factors.WMG is committed to inclusion and diversity in all aspects of our business. We are proud to be an equal opportunity workplace and will evaluate qualified applicants without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law (genetic characteristics or cancer), physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other characteristic protected by applicable federal, state or local law.Copyright © 2025 Warner Music Inc.Links to relevant documents:2025 Benefits At A Glance final.pdfEVerify Participation Poster.pdfRight To Work .pdf",Entry level,Data Scientist
+168,2025-04-07,Remote First,,Coinbase,http://www.coinbase.com,"Founded in June of 2012, Coinbase is a digital currency wallet and platform where merchants and consumers can transact with new digital currencies like bitcoin, ethereum, and litecoin. Our vision is to bring more innovation, efficiency, and equality of opportunity to the world by building an open financial system. Our first step on that journey is making digital currency accessible and approachable for everyone. Two principles guide our efforts. First, be the most trusted company in our domain. Second, create user-focused products that are easier and more intuitive to use.","Ready to be pushed beyond what you think you’re capable of?At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. We're seeking Machine Learning Engineers to revolutionize how we optimize our operations using ML and GenAI. This is a unique opportunity to apply the latest advances in ML and GenAI to real-world problems that directly impact millions of users and the future of digital finance.Our AI teams are dedicated to building intelligent systems that protect our platform while ensuring a seamless experience for legitimate users. We are transforming traditional tasks such as manual document review and risk assessment into an automated, scalable system powered by state-of-the-art machine learning.What you’ll be doing (ie. job duties):Hands-on develop, productionize, and operate Machine Learning models and pipelines at scaleContribute to our ML models and work at the intersection of Blockchain and AI technologiesWork with our senior engineers and collaborate with our product partners to identify and solve new use cases for ML on blockchain What we look for in you (ie. job requirements):2+ yrs of industry experience as a Machine Learning EngineerM.S in ML/CS/EE or BS with equivalent ML experienceSolid software engineering skillsSolid foundation in modern ML techniques (e.g., DNNs, transformers, LLMs, classification)Experience with coding on ML platforms (e.g., Tensorflow, PyTorch)Willingness to learn and adapt to new technologies and challengesNice to Have:Knowledge of crypto/blockchain technology Job ID: GPML04US*Answers to crypto-related questions may be used to evaluate your onchain experience. Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).Pay Range: : $152,405 USD - $179,300 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.Commitment to Equal OpportunityCoinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view the Know Your Rights notice here.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.      ",Entry level,Machine Learning Engineer - (Platform)
+169,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
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+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
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+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+170,2025-03-24,Ridgefield Park,NJ,Samsung Electronics America,http://www.samsung.com/us/,"Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays.
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+We’re committed to keeping co-prosperity at our core through creating human-centric innovation, empowering the next generation and serving the communities where we live and work. As an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, SEA is dedicated to positively impacting the environment through its eco-conscious products, practices and operations. ","Position SummarySamsung Ads is a rapidly growing advanced advertising technology company that focuses on enabling advertisers to connect with audiences through Samsung devices as they are exposed to digital media. We use the industry’s most comprehensive data to build the world’s most innovative advertising platform. Being part of an international company such as Samsung and doing business worldwide means that we get to work on big, complex projects with stakeholders and teams located globally.We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads.At Samsung Ads, we actively explore the latest machine-learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a broad spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. A unique learning culture and a creative work atmosphere will welcome you. This is an exciting and unique opportunity to get deeply involved in envisioning, designing, and implementing cutting-edge machine learning products with a fast-growing team.Location: Mountain View, CAResponsibilitiesRole and ResponsibilitiesLead and deliver production-grade machine learning products from end to end, making Samsung Ads a key player in the mobile ads market.Design, develop, and deploy state-of-the-art, scalable machine learning models to achieve various optimization goals, such as ads click-through rate (pCTR), app-install optimization, return on ad spend (ROAS) optimization, retention, etc.Research the latest machine learning technologies and industry trends, quickly create prototypes of new ML solutions, and deploy these solutions into production.Analyze complex problems involving massive advertising data, identify gaps, and propose and execute technical solutions.Work closely with internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.Collaborate with cross-functional partner teams in global settings to deliver new ML features and solutions that achieve business objectives.Mentor junior engineers and provide technical guidance.Learn quickly and adapt to a fast-paced working environment.Skills And QualificationsExperience RequirementsMaster’s or PhD degree in Computer Science or related fields.4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.Solid theoretical background in machine learning and/or data mining.Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).Hands-on experience with production-grade machine learning solutions.Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).Extensive programming experience in Python, Go, or other OOP languages.Familiarity with data structures, algorithms, and software engineering principles.Proficiency in SQL and databases.Strong communication and interpersonal skills to drive cross-functional partnerships.Preferred Experience RequirementsPublications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).Basic knowledge about Amazon Web Services (AWS).Experience with the advertising industry and real-time bidding (RTB) ecosystem.The salary range for this role, for candidates based in California, is expected to be between $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.Reasonable Accommodations for Qualified Individuals with Disabilities During the Application ProcessSamsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.",Entry level,Samsung Ads - Machine Learning Model Engineer
+171,2025-04-02,Richfield,Minnesota,Best Buy,http://jobs.bestbuy.com,"At Best Buy, our purpose is to enrich lives through technology. We do that by leveraging our unique combination of tech expertise and human touch to meet our customers’ everyday needs, whether they come to us online, visit our stores or invite us into their homes. With over 1,000 stores and more than 90,000 employees in the United States and Canada, we solve key human needs in the areas of productivity, security, health, entertainment, connectivity, and more.
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+We’re a community of courageous change-makers, ambitious collaborators, and inspiring friends. Whether it’s working as a Geek Squad Agent, an in-store advisor, or in our corporate office, we offer each other support and prepare for what might come next.
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+We wake up every morning so we can do our part in shaping the future of a changing world. Together, we raise the bar for what’s possible and dream up new solutions to problems we’ve never encountered. We master innovative skills that we didn’t know were within grasp and turn everyday interactions into human connections built to last.
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+If change motivates you, if technology inspires you — we’re here for you. Tomorrow works here™.","As a Lead Machine Learning Engineer, you’ll be leading technical efforts to research, develop, and applying cutting-edge machine learning systems to build innovative technologies, services, and products that solve the company's hardest problems and accelerate Best Buy's core growth. In this role you will combine your leadership skills with strong software engineering expertise and deep knowledge of ML and AI algorithms to lead technical efforts to architect, develop, and operationalize models, algorithms, and production quality codebases that form the core engines that unleash the next generation of customer experiences and transform the way Best Buy operates day-to-day.This role is hybrid, which means you will work some days on site at a Best Buy location and some days virtually at home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.For this role, you must be located within a drivable distance to our office in Richfield, Minnesota, Atlanta, Georgia or Seattle, Washington.What You’ll DoLeading the design and development of ML solutions as services Mentoring and coaching junior ML Engineers leveraging state-of-the-art machine learning techniques Partner with global cross-functional teams including AI, data, platforms, products, analytics, business and complianceApplying software engineering skills to lead development and deployment of solutions that can scale to millions of requests per second with millisecond latency Work through complex technical and business problems in high pressure scenarios, connecting the larger enterprise goals to teams’ tactical deliverablesBasic QualificationsBachelor’s degree in a highly quantitative field (computer science, engineering, physics, math, operations research or related) or equivalent relevant professional experience6 years of experience building and operationalizing ML/AI products3 years of MLOps or AIOps experience, operationalizing real-time ML/AI models with ultra-low latency and high throughput as resilient, scalable, cloud native services3 years of experience leading end to end design reviews, code reviews and deployment patterns for critical AI applications in one or more of Gen AI, supervised learning, unsupervised learning and reinforcement learning domains3 years of experience with Google Cloud Platform (GCP), building and maintaining ML/AI solutions with production grade pipelinesExpert level understanding of Python ecosystem and common AI/ML frameworks (LangChain, TensorFlow, PyTorch, scikit-learn, Seldon-Core)Expert level coding expertise in Python and SQLExpert level knowledge of MLOps/AIOps concepts and CI/CD pipelinesPreferred QualificationsMaster’s degree or PhD. in a highly quantitative field (computer science, engineering, physics, math, operations research or related) or equivalent relevant professional experienceMulti-cloud and multi-region integration experienceExperience building production grade ML models using one or more Deep Learning frameworks like TensorFlow, PyTorch, JAX or ONNExperience with one or more CI/CD, MLOps, DataOps and Orchestration platforms like KubeFlow, Prefect, Apache Airflow, MLFlow, or Argo for end-to-end model building, training, serving and monitoringOpen-source contributions or robust GitHub portfolioWhat’s In It For YouWe’re committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life.Our Benefits IncludeCompetitive payGenerous employee discountPhysical and mental well-being supportAbout UsAs part of the Best Buy team, you’ll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life — in our stores, online and in customers’ homes.Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We’re committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™Best Buy is an equal opportunity employer.Position Type: Full timePandoLogic. Keywords: Anti Money Laundering Manager, Location: Minneapolis, MN - 55423",Not Applicable,Machine Learning Engineer
+172,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+173,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+174,2025-01-08,,,Pointer Technologies,https://pointer-tech.com/,Pointer Technologies provides mission specific software services aimed at solving our nations toughest technical problems.,"Pointer Technologies is seeking a talented and passionate Software Engineer specializing in Artificial Intelligence and Machine Learning (AI/ML) to join our team. You will collaborate with cross-functional teams to solve challenging problems, develop robust software systems, and deploy AI-powered features into production.The ideal candidate will have a broad technical background, and the ability to design, build, and deploy scalable AI/ML models that align with our mission. This person is diligent, works well with others, inspired to learn, driven by mission and practices effective communication.ResponsibilitiesDevelop and optimize machine learning models for real-world and national security and defense applicationsBuild and maintain scalable data pipelines for model training and deploymentCollaborate with product, engineering, and data teams to understand requirements and translate them into actionable solutionsConduct research to explore new AI/ML techniques and stay updated on the latest industry advancementsEvaluate model performance, troubleshoot issues, and fine-tune solutions for optimal resultsWrite clean, maintainable, and well-documented codeRequirementsBachelor’s or Master’s degree in Computer Science, Machine Learning, or a related fieldStrong proficiency in programming languages like Python, R, or Java, with expertise in ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of algorithms, data structures, and statistical methodsExperience building and deploying machine learning models into production environmentsKnowledge of cloud platforms such as AWS or Azure for AI/ML workflowsFamiliarity with data wrangling, ETL pipelines, and big data tools (e.g., Spark, Hadoop)Nice To HaveExperience with specific AI domains, such as natural language processing (NLP), computer vision, or reinforcement learningUnderstanding of MLOps principles and tools like MLflow or KubeflowContributions to open-source AI/ML projectsPublished research or patents in the AI/ML spaceTechnical leadership experienceClearanceTS/SCI clearance with polygraph requiredAbout UsPointer Technologies is Mission Forward and Employee Owned.We leverage talented engineers and effective technologies to drive success in our nation’s National Security and Intelligence missions. We enable our nation to be capable, modernized, and anticipatory for the fight ahead - seen or unseen.Here are some of our core values:Employee OwnershipAt Pointer Technologies, all employees are eligible to be granted stock, making them a shareholder in the business. We want our employees to be as invested in our success as we are in theirs, and we believe that generously giving our employees a piece of the pie will encourage this. At Pointer, our employees are not only the foundation of our success - they get to share in our success.TransparencySince every employee at Pointer Technologies is a shareholder, we have an open book policy with our team. We hold quarterly all hands meetings where the business reports its contracts portfolio, growth strategy, and even financial health and projections with all employees.TalentAt Pointer Technologies we don't just hire anybody - top tier talent is part of our brand. New candidates will face technical screenings to verify that they uphold our technical standards. Anybody who is offered a position at Pointer can know that they have earned the right to be a part of our team.Meaningful WorkAt Pointer Technologies we support work that is impactful to our nation’s National Security and Intelligence missions. Every single member of the Pointer Technologies team takes pride in knowing that the work that they do matters, and that it is making a positive and meaningful impact on our success as a nation.BenefitsHealth Insurance through Blue Cross Blue ShieldDental, vision, long-term & short-term disability and life insurance10% 401K matching with immediate vesting248 hours of PTO with the ability to flex higher or lowerEducation and training budget of $5,250Paid military leavePaid maternity leaveInternal referral profit sharingEmployee Equity ProgramQuarterly all hands to promote transparencyPaid company lunchesCulture building events and partiesThe best company swag around*Learn more and find additional details on our benefits page.______Pointer Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other state or federal legally protected status.Powered by JazzHRe8ubWRShjc",Entry level,AI/ML Software Engineer
+175,2025-04-01,San Francisco,CA,Material Security,https://material.security/,"Material Security is an automated detection and response toolkit for Google Workspace and Microsoft 365, combining email security, data security, identity protection, and configuration management in a single platform.","As a Machine Learning Engineer at Material Security, you'll be part of a team of experienced, world-class engineers, working to protect our users and their privacy (e.g., inboxes from breaches, targeted phishing, fraud, and lateral account takeover). Your mission is to build, deploy, and maintain high quality models that detect security relevant data and behavior (phishing emails, sensitive data in email and drives).ResponsibilitiesDesign, build, train, and deploy machine learning models to detect sensitive data and malicious threats (phishing emails). Write production-level code to convert your ML models into working pipelines and participate in code reviews to ensure code quality and distribute knowledge. Architect scalable, reliable, and maintainable machine learning pipelines, integrating seamlessly with existing backend systems. Work closely with machine learning engineers, product managers, designers, data scientists, and software engineers to align machine learning initiatives with business goals. Stay ahead of the curve by exploring new algorithms, technologies, and frameworks to enhance our detection models. Contribute to great engineering culture through active participation and mentorship. What We’re Looking ForMust HavesB.S., M.S. or Ph.D. in Computer Science or related technical field or relevant work experience. 8+ years (or Ph.D. with 6+ years) of experience in machine learning, data science, or related fields, with at least 3 years in a senior or staff engineering role. Deep understanding of supervised/unsupervised learning techniques and LLMsStrong experience writing efficient and effective data pipelines. Practical knowledge of how to build efficient end-to-end ML workflows and a strong drive to won the entire process of model development from conception through deployment, to maintenance.. Experience with machine learning libraries (e.g., scikit, Pandas)Nice to HaveExperience in API development on top of a fast APIExperience tracking text embedding modelingStrong knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes). –Material Security is a remote-first workplace with an office in San Francisco, California.By clicking ""Apply for this Job"", you acknowledge that you have read the California Candidate Privacy Notice Regarding Use of Personal Information and hereby agree to its terms.Compensation at Material Security is determined by a range of factors, including but not limited to the individual’s particular combination of knowledge, skills, competencies, and experience. The projected compensation range for this position is $200,000 - $240,000.",Entry level,Machine Learning Engineer
+176,2025-04-08,Singapore,,Crypto.com,https://www.crypto.com,"Crypto.com was founded in 2016 and is the preferred crypto trading platform for over 100 million users worldwide, as well as the trusted industry leader in regulatory compliance, security, and privacy. We’re committed to accelerating the adoption of cryptocurrency through our vision: Cryptocurrency in Every Wallet™","We are seeking a dynamic Growth Data Scientist/Analyst to join our Growth team. The successful candidate will be instrumental in leveraging data to drive strategic decisions, optimize growth initiatives, and enhance user acquisition strategies.ResponsibilitiesDevelop and maintain acquisition and engagement (e.g. influencer/affiliate, organic, VIP, , paid acquisition etc.) dashboards to monitor user growth and campaign effectivenessAssist in building predictive models to guide strategic decisions on acquisition and engagement, encompassing time series, predictive analytics, and recommender systemsAnalyze data to derive actionable insights that drive business decisions and performance improvementsAutomate repetitive tasks and data processes to enhance team efficiencyCollaborate with cross-functional teams to support data-driven decisions and project implementationsEngage in continuous learning to stay ahead of industry trends and leverage new tools and techniques in data analysisRequirementsBachelor’s degree in a quantitative field such as Statistics, Computer Science, Engineering, or related fieldsUp to 3 years of experience in data analysis or a related field. Experience in the crypto industry is a plusFamiliarity with User Acquisition (UA) and/or Customer Relationship Management (CRM) concepts is advantageousProficiency in SQL and familiarity with data visualization tools like TableauExperience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing dataStrong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracyAdept at queries, report writing, and presenting findingsKnowledge of acquisition campaign platforms and tools such as Appsflyer, SensorTower, or similar platformsExcellent verbal and written communication skills",Not Applicable,Growth Data Scientist/ Analyst
+177,2025-03-20,Bethesda,MD,Lockheed Martin,https://www.lockheedmartin.com,"The world relies on what we do. 
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+Headquartered in Bethesda, Maryland, with offices across the U.S. and around the globe, our team delivers solutions that strengthen national security, shape industries and push engineering  and technology to new levels. We collaborate to win. We put our customers first. And we perform with excellence.
+
+The best careers are built at Lockheed Martin. Join us.","Basic Qualifications Bachelor's degree and 2 or more years of professional experience Demonstrated proficiency with at least one modern software language such as C++, C, C#, and/or Java (Preferably C++) Experience with one or more of the following: Python, JavaScript, HTML and Cascading Style Sheet (CSS) Experience with Red Hat Enterprise Linux (RHEL) Proficiency in a Git Version Control SystemJob Code/TitleE1072:Software EngineerJob DescriptionWhat We're DoingAt Lockheed Martin, we are passionate about innovation and integrity. We believe that by applying the highest standards of business ethics and forward-thinking, everything is within our capacity – and yours as a Lockheed Martin employee.Here at Lockheed Martin, we are working on many exciting programs and developing cutting edge products and applications to meet the complex and evolving needs of our customers. We are looking for talented software engineers to join our team, working with other engineering disciplines to help develop best-in-class products and solutions.This position is for a Software Engineer to support training systems development. The successful candidate will be flexible, motivated, dedicated, detail-focused, team oriented, and capable of multi-tasking.This position is located in Hurlburt Field, FL at the Rotary and Mission Systems (RMS) Training and Logistics (TLS), Keeping up-to-date on emerging technologies and tools will be encouraged. We offer a continuous learning environment with strong career growth and advancement opportunities over the long-term.The WorkAs a member of our Software Engineer team you will: Develop software solutions for flight simulators Integrate new technologies into various systems Support analysis of requirements, design, test and implementation of real-time softwareWho We AreWe are a collaborative team of software engineers and interdisciplinary subject matter experts dedicated to analyzing and documenting software requirements in order to design, develop, and integrate training systems solutions. We create unparalleled readiness today and into the future, no matter what the mission may be here at Lockheed Martin Rotary and Mission Systems. Who You AreYou thrive in a collaborative, multidisciplinary engineering environment and are committed to delivering best-in-class products and solutions.A level 2 employee is typically early career-level and has 2 or more years of professional experience. Why Join UsJoin us if you are passionate about saving lives through mission readiness. Be a part of a team that values speed, agility, affordability, and disruptive technologies.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship.Desired Skills Software development in C/C++ in a Linux environment Experience with JIRA and Confluence Continuous integration/ Continuous deployment (CI/CD) experience with Gitlab Experience with Vue Java Script (VueJS) Experience with Fortran and/or Ada Automation with Ansible Experience with any of the following: flight simulation, aerodynamics modelling, weapons, avionics, electronic warfare, radar Active DoD Secret ClearanceOther Important InformationBy applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Ability to work remotelyOnsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.Select the Telework classification for this positionEmployee will work on-site full-timeAbility to TelecommuteNo telecommutingShiftFirstWork Schedule InformationLockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.Work ScheduleNon- standard 40 hour work week as assigned by leaderSecurity Clearance InformationThis position requires a government security clearance, you must be a US Citizen for consideration.Security ClearanceSecretLMCareers Business UnitRMSProgramAir Force Special Operations Command (AFSOC) Air Commando Training Support (ACTS)DepartmentXO1T2B:TLS IE ACS OffsiteJob ClassSoftware EngineeringJob CategoryExperienced ProfessionalCity, StateHURLBURT FIELD-FLCityHURLBURT FIELDZip32544VirtualnoRelocation/Housing Stipend AvailablePossibleReq TypeFull-TimeDirect/IndirectDirect At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.EEOLockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.National Pay StatementPay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $73,400 - $129,260. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.This position is incentive plan eligible.Premium Pay StatementPay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $84,300 - $146,165. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.This position is incentive plan eligible.",Entry level,Software Engineer / Early Career-Level
+178,2025-04-08,London,England,Hamlyn Williams,https://www.hamlynwilliams.com,"Placing Talent that Makes A Difference. 
+
+Talent attraction and retention are critical to our client’s success; Hamlyn Williams’ mission is to support and enable this through the delivery of high-quality staffing solutions.
+
+Founded in 2011, we are a global organisation with local offices across North America and Europe, and over 160 colleagues. We cover the Financial Services, Cyber Security, Professional Services, Technology, Life Sciences and Manufacturing industries. 
+
+Our people are ambitious, we persevere for our customers success, and work with pride. We are investing in our people strategy and have recently relaunched the Hamlyn Williams way (HW way) and Career Pathway, your route to success. There has never been a better time to join Hamlyn Williams. 
+
+Visit www.hamlynwilliams.com for more information.","As a Machine Learning Engineer, you will develop, implement, and optimize machine learning models to analyze complex biological datasets, enhance drug discovery pipelines, and improve diagnostic tools. You will work closely with data scientists, biologists, chemists, and software engineers to integrate AI-driven solutions into our research framework.Key ResponsibilitiesDevelop and deploy machine learning models for biological and biomedical data analysis.Work with large-scale genomic, proteomic, and clinical datasets to extract meaningful insights.Design and optimize deep learning architectures for applications such as drug discovery, medical imaging, and biomarker identification.Collaborate with domain experts to refine algorithms and ensure their applicability to biotech challenges.Implement scalable ML pipelines for data preprocessing, model training, and inference.Stay up to date with the latest advancements in AI and biotechnology and integrate best practices into research workflows.Contribute to the development of software tools and frameworks for machine learning applications in biotech.QualificationsRequired:Master’s or Ph.D. in Computer Science, Machine Learning, Bioinformatics, Computational Biology, or a related field.Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Experience with deep learning architectures (CNNs, RNNs, Transformers) and probabilistic models.Solid understanding of biological data types (genomic sequences, protein structures, medical imaging, etc.).Experience with cloud computing platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).Strong problem-solving skills and the ability to work in a multidisciplinary team.Preferred:Familiarity with drug discovery, systems biology, or computational chemistry.Knowledge of graph neural networks, reinforcement learning, or generative models for molecular design.Experience with big data technologies (Spark, Dask, Hadoop) for handling large-scale biological datasets.Publications or projects in AI-driven biotech applications.",Mid-Senior level,Machine Learning Engineer
+179,2025-03-28,,,Key Technology,www.key-technology.co,"Key Technology is part of the KTS Group, a well-established name in the recruitment sector, originally founded in 1978 in the UK and since expanding into multiple markets globally, driven by a laser focused niche, specialist approach and underpinned by the values of trust, fairness, and hard work.","🚀 Applied Machine Learning Engineer – AI Startup | Hybrid (SF) 📍 San Francisco | 🧠 AI x Real-time Collaboration | 💼 Full-timeWe’re partnering with a fast-growing AI startup building real-time tools that supercharge sales teams using LLMs and automation.They’re hiring their first ML Engineer to design and deploy models powering features like real-time audio detection, GPT-based playbooks, and predictive conversation flows.You might work on: 🎧 Real-time voice classification (human vs. voicemail vs. IVR) 🧠 LLM-powered smart funnels & sales playbooks 🔁 Predictive call modeling & conversation embeddingsWhat they’re looking for: ✅ 3+ years total experience (2+ in production ML) ✅ Strong Python/PyTorch skills ✅ Exposure to LLMs, audio ML, or few-shot learningPerks: 🏢 Hybrid (SF office) | 🌍 Visa support available ⚙️ Stack: Transformers, LLMs, PyTorch, KubernetesSound interesting? Apply today!",Mid-Senior level,Machine Learning Engineer
+180,2024-12-26,Pleasanton,California,XOPS,https://www.xops.io,"We believe in ITOps teams. 
+
+Processes are broken, not people. We clean up the chaos with observability and runbook automation built for ITOps. Merged into a single modern platform, working together to help your team visualize, automate, and manage the complete employee lifecycle. 
+
+Leave the boring work to the software.","XperiencOps Inc. is seeking a talented and experienced Machine Learning Engineer with expertise in graph databases to join our innovative team. As a Machine Learning Engineer, you will play a crucial role in developing and implementing machine learning models and algorithms that drive actionable intelligence.In this role, you will collaborate with cross-functional teams to analyze complex data sets, design and develop machine learning models, and build scalable solutions. You will also be responsible for optimizing and maintaining graph databases, to ensure high performance and efficient data retrieval.Responsibilities:Design, develop, and implement machine learning models and algorithms that leverage graph databases, to solve complex business problemsAnalyze and interpret complex datasets to extract meaningful insights and patterns. Collaborate with cross-functional teams to define project requirements and objectivesOptimize and maintain graph databases, focusing on performance and data retrieval efficiencyEnsure the quality and reliability of machine learning models through rigorous testing and validationStay updated with the latest advancements in machine learning and graph databases and incorporate them into our products and solutionsProvide mentorship and guidance to junior machine learning engineersDocument and communicate research findings, methodologies, and results to internal and external stakeholdersRequirementsPh.D. in Computer Science with expertise in Machine Learning, Graph Theory, and related fields5+ years of experience in designing and implementing machine learning models and algorithms, with a focus on graph analyticsExpertise in graph databases, Neo4j preferred, and their query languages (e.g., Cypher)Proficiency in programming languages such as Python or R, as well as machine learning frameworks like TensorFlow or PyTorchStrong understanding of statistical modeling and data analysis techniquesExperience with big data processing frameworks (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS) is a plusExcellent problem-solving and analytical skillsAbility to work on complex problems and deliver innovative solutionsExcellent communication and collaboration skillsBenefitsOpportunity to work on cutting-edge products and make a real impactCollaborative and fast-paced work environmentChance to be part of a rapidly growing startupCompetitive salary and benefits package (health insurance, dental insurance, vision insurance, paid time off, etc.)",Mid-Senior level,Machine Learning Engineer
+181,2025-02-11,Palo Alto,California,Inference.ai,https://www.inference.ai/,The AI compute ecosystem for future leaders: Inference.ai enables flexible allocation of virtualized GPUs to different tasks and containerized workflows.,"The RoleWe are seeking an experienced Machine Learning Engineer to lead a live, virtual course on Machine Learning. This role requires just 2 hours per week of live instruction, plus minimal time for class preparation since we have an existing framework. The ideal candidate is passionate about teaching, enjoys mentoring aspiring ML professionals, and has hands-on experience deploying machine learning models in production.ResponsibilitiesTeach a live, virtual Machine Learning course for 2 hours per week.Deliver engaging, real-world insights based on your industry experience.Guide students through practical ML concepts, algorithms, and real-world applications.Answer questions, provide mentorship, and support students in their learning journey.Who You AreIndustry Expert: You have 3+ years of hands-on experience as a Machine Learning Engineer or AI Specialist at a top-tier tech company (FAANG or research labs preferred).Passionate Educator: You enjoy sharing knowledge, mentoring others, and breaking down complex ML concepts into digestible lessons.ML Skills: Strong knowledge of supervised/unsupervised learning, deep learning, MLOps, model deployment, and frameworks.Effective Communicator: You can explain ML concepts clearly to a range of learners, from beginners to experienced engineers.Nice-to-HavesExperience in teaching, mentoring, or public speaking.Why Join Us?Flexible & Low Commitment: Just 2 hours per week with minimal prep time.Impactful: Help shape the next generation of ML engineers.Competitive Pay: Earn industry-leading compensation for a part-time role.",,Machine Learning Engineer
+182,2025-03-20,St Petersburg,Florida,EVONA,http://www.evona.com,"We believe in the evolution of knowledge and the progression of people - it is so core to our business, it's the meaning of our name: EVO - to evolve, ONA - people. ​
+
+EVONA Group brings together pioneering talent solutions for today’s most ambitious companies, with a suite of services designed to meet the unique demands of space, defense, and deep tech.
+ 
+FRACTION - www.evonafraction.com - connects VCs, PEs, and founders with fractional executives, bringing high-impact expertise exactly when it’s needed. 
+
+GRAM PARTNERS - www.grampartners.com -  is our white-glove executive search and consulting service, led by former SpaceX and Apple executives, delivering unmatched precision in high-level talent acquisition. 
+
+EVONA - www.evona.com -  is the original, award-winning subscription and direct hire service for VP, director, management, and individual contributor roles, trusted by top companies for a seamless recruitment experience.
+ 
+Our platforms empower you to source talent independently or access curated executive search expertise – and we’ve built a following you can leverage to drive your mission forward.
+
+Call on: +1 202-381-9944 (US) or +44117 2034444 (UK)","Machine Learning EngineerThe Machine Learning Team is focused on developing and implementing advanced machine learning algorithms to solve complex problems in the evolving space economy. These efforts span various domains, including Computer Vision, Edge Processing, Data Fusion, and probabilistic statistical modeling.As a Machine Learning Engineer, you will enhance existing capabilities, incorporate the latest research, implement state-of-the-art algorithms, productionize models, create MLOps solutions, and work with end-users to deploy innovative systems.Key ResponsibilitiesDesign, develop, and validate reliable and scalable algorithmic solutions.Research and implement cutting-edge algorithms for challenging space-based applications.Optimize the runtime performance of existing implementations.Collaborate with end-users and partners in a team-focused, innovative environment.Integrate current and future machine learning solutions into production pipelines.Contribute to team discussions and provide insights to drive innovation across multiple related projects.QualificationsMinimum RequirementsBachelor’s or Master’s degree in Data Science, Machine Learning, or a related technical field, or 4+ years of relevant professional experience.Strong programming skills in Python.Proficiency with one or more of the following frameworks: PyTorch, TensorFlow, JAX.Solid understanding of linear algebra, calculus, statistics, and machine learning principles.Hands-on experience in developing advanced machine learning applications.Proficiency in data analysis, engineering, and exploration techniques.Excellent problem-solving, critical thinking skills, and strong engineering fundamentals.Ability to communicate complex algorithms and concepts effectively.Strong oral and written communication skills.Experience with Linux and shell command-line tools.Willingness to travel for collaboration across teams.Flexibility to work extended hours or weekends occasionally, if necessary.Eligibility to obtain a Secret or TS/SCI security clearance.Preferred Skills and ExperienceProgramming skills in C++.Experience productionizing machine learning solutions.Experience working in cloud environments (AWS, GCP, Azure).Knowledge of areas such as computer vision, uncertainty quantification, signal processing, computational physics, and time series analysis.Familiarity with platforms like Kubeflow, Blender, or Nvidia Omniverse.Additional RequirementsThis role may involve access to technology and software subject to U.S. export controls. Applicants must meet export control compliance criteria, including being a U.S. citizen, lawful permanent resident, refugee, or asylee, or be eligible for required U.S. Department of State authorizations.BenefitsHealth Insurance: Comprehensive medical, dental, and vision coverage.Retirement Plans: Access to a 401(k) plan.Paid Time Off: Generous vacation, personal days, and holidays for a healthy work-life balance.Professional Development: Access to training, workshops, and courses to foster career growth.Team Building: Regular social events, team outings, and company-sponsored activities.Diversity and Inclusion: A welcoming and equitable work environment supported by dedicated initiatives.About UsWe are a forward-thinking company dedicated to shaping the future of space exploration and operations. Our work includes designing cutting-edge spacecraft for space transport, orbital debris removal, and Space Domain Awareness (SDA) to support current and future space missions. We aim to deliver high delta-V per dollar to maximize cost-efficiency in space transportation. Our past successes include the launch of our first satellite in mid-2023, with additional missions planned for 2025.Apply now to join a collaborative and innovative team driving the future of space technology.",Mid-Senior level,Machine Learning Engineer
+183,2025-03-26,Atlanta,Georgia,Tech 42,https://www.tech42consulting.com/,"At Tech 42, we meet you where you're at in your Data and AI/ML journey. From just getting started to scaling existing systems, we can help you take the next step. As an AWS Partner, we have access to the AWS network and can help you deploy workloads on AWS.
+
+Every company has unique needs. We meet with you to understand how your business works, and work backwards from there to develop a data or AI/ML solution that fits your company. ","About the JobTech 42 is a leading AWS Partner based in Atlanta, Georgia, specializing in cutting-edge data, machine learning, and artificial intelligence solutions. As an Advanced Tier AWS Partner, we excel in helping businesses accelerate their AI journey from concept to production scale. Our team of experts is dedicated to understanding our clients’ unique business objectives and designing practical, innovative solutions that deliver measurable results. At Tech 42, you’ll have the opportunity to work on a diverse range of projects, including AI and ML solutions, cloud architecture design, data engineering, and security and compliance. Join us in our mission to empower companies to scale and thrive in the rapidly evolving world of AI and machine learning, creating impactful solutions that drive business success.We are seeking an experienced AWS Machine Learning (ML) Engineer to join our team and help us build cutting-edge AI solutions for our clients. In this role, you will leverage your deep expertise in Amazon Web Services (AWS) with a focus on AI/ML solutions, including Amazon Bedrock, Sagemaker, Retrieval-Augmented Generation (RAG), and fine-tuning large language models (LLMs). You'll be instrumental in designing, developing, and deploying impactful AI and agentic workflows within scalable AWS infrastructure while directly engaging with clients to understand and address their unique needs. Join a dynamic team committed to pushing the boundaries of AI/ML innovation.What You'll Be DoingDesign, develop, and deploy AI/ML solutions using AWS, with a focus on Amazon Bedrock, Sagemaker, and related AI services, ensuring high performance and scalability.Implement and optimize Retrieval-Augmented Generation (RAG) systems to unlock enhanced AI capabilities for various client applications.Implement AI-powered document processing and workflow automation, demonstrating your knowledge in automating structured and unstructured data pipelinesFine-tune large language models (LLMs) for specific business use cases, tailoring models for optimal performance and accuracy within the client's domain.Build and optimize agentic workflows to enable dynamic, task-driven AI agents, streamlining complex processes and automating intelligent decision-making.Architect scalable, secure, and cost-effective AI infrastructure on AWS, ensuring compliance with best practices and optimizing resource utilization.Work closely with clients to understand their requirements and deliver tailored AI solutions that directly address their business challenges.Stay up to date with the latest trends and advancements in AI/ML and AWS technologies, continuously learning and applying new knowledge to improve our solutions.What We Need To SeeStrong understanding of the ML fundamentals and experience with designing end-to-end ML pipelines, from data ingestion to model deployment.Solid knowledge of Retrieval-Augmented Generation (RAG), document processing, LLM fine-tuning techniques, including practical experience in implementing and optimizing these technologies.Experience with text/image embedding and working with vector databases to store vectors such as Pinecone, Weviate or OpensearchExperience in AWS infrastructure and services, including Lambda, Step Functions, ECS, SageMaker, Bedrock, Opensearch, showcasing your ability to build and manage complex cloud environments.Experience with libraries such as scikit-learn, statsmodels, PyTorch, Langchain, LangGraph, Langfuse, demonstrating your proficiency in utilizing these tools to develop and deploy AI/ML solutions.Experience in PythonExperience working in a client-facing role, managing technical discussions, and ensuring client satisfaction, demonstrating your ability to build strong client relationships and deliver high-quality solutions.Ways To Stand Out From The CrowdAWS certifications (e.g., AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect), demonstrating your commitment to continuous learning and professional development.Experience with agent-based AI systems and workflows, showcasing your ability to design and implement intelligent, task-oriented agents.Experience with designing full-stack GenAI applications, including frontend development, showcasing your ability to build complete and user-friendly AI solutions.Experience in Javscript or another similar programming languageBenefitsInsurance - medical, dental, vision (US based)15 days of PTOs + 8 company holidaysPerformance based bonus available",,Machine Learning Engineer
+184,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.Responsibilities - What You'II Do Build industry-leading recommendation system, improving user experience, content ecosystem and platform security; Deliver end-to-end machine learning solution to address critical product challenges; Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.QualificationsMinimum Qualifications Bachelor degree or above in computer science or a related major, with 2+ years of related work experience; Strong software development experience with C++, Python or other programming language; Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product; Strong communication and teamwork skills; Passion about techniques and solving challenging problems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, TikTok Social Recommendation"
+185,2025-03-18,Las Vegas,Nevada,The Venetian Resort Las Vegas,https://vrlv.com/Careers,"The Venetian® Resort Las Vegas is
+an important part of our global company, and
+a standard of luxury and service in the industry.
+We provide the best benefits, opportunity for
+advancement, and the greatest professionals
+with which to work.
+
+Our company culture is the result of our
+commitment to our guests, our Team Members,
+and our community. We are the world’s largest
+integrated resort, and our people make it the
+most successful as well.
+","Position OverviewThe Engineer – Machine Learning (ML) is an expert in developing and implementing machine learning algorithms and models, focusing on solving complex business problems and enhancing technological solutions within the organization. The Engineer - Machine Learning (ML) must demonstrate substantial background and passion for machine learning, AI, and statistical modeling. All duties are to be performed in accordance with departmental and The Venetian Resort’s policies, practices, and procedures.Essential Duties & ResponsibilitiesArchitect and build robust cloud-based pipelines and robust ML framework to train, deploy, infer, and monitor machine learning models at scale.Apply expertise in model design, training, evaluation, validation, implementation, and monitoring.Conduct data preprocessing, feature engineering, and model evaluation.Manage workflows and data pipelines.Implement monitoring systems to track how models are performing.Design, develop, and implement predictive models and algorithms to support business objectives.Conduct exploratory data analysis, descriptive analysis, and deep dives, and examine large datasets to uncover trends, patterns, and opportunities for business improvement.Incorporate visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Formulate infrastructure decisions using understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation.Create and maintain detailed documentation for operational execution.Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.Drive code reviews to help team adhere to general best practices.Provide technical guidance and mentorship to other team members.Innovate with new approaches, staying abreast of current research and latest technologies in the broader ML engineering community.Safety is an essential function of this job.Consistent and regular attendance is an essential function of this job.Performs other related duties as assigned.Company Standards of ConductAll The Venetian Resort Team Members are expected to conduct and carry themselves in a professional manner at all times. Team Members are required to observe the Company’s standards, work requirements and rules of conduct.Minimum Qualifications21 years of age.Proof of authorization to work in the United StatesBachelor's degree in computer science, engineering, data science, statistics, mathematics, or a related field. Master’s degree preferred.Must be able to obtain and maintain Nevada Gaming Control Board registration and any other certification or license, as required by law or policy.A minimum of 2 years of relevant experience.Practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the Google Cloud Platform and Databricks ecosystem.Programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (e.g.: scikit-learn, Keras/Tensorflow, etc.) and optimization (e.g., linear programming) tools.Experience with CI/CD pipelines, and Git version control.Experience with data visualization to convey ML models behavior and business insights.Demonstrated experience in statistical and/or quantitative analysis, forecasting, predictive analytics, multivariate testing, outlier analysis and/or optimization algorithms.Expertise in AI/ML model design and development, frameworks, and libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, NLTK or spaCy, OpenCV or similar.Experience working with large, dynamic data sets and developing code to ingest, cleanse, and evaluate data.Solid understanding of Machine Learning fundamentals and ability to translate business requirements into machine learning solutions.Excellent problem-solving skills and ability to work in a fast-paced environment.Strong communication skills and ability to work well in a team.Sharp analytical, technical, and mathematical / statistical skills.Ability to communicate with people of various technical and business backgrounds, includes explaining difficult technical concepts in simple terms to business users.Ability to communicate clearly and effectively in English, both in spoken and written form.Strong interpersonal skills with the ability to communicate effectively with guests and other Team Members of different backgrounds and levels of experience.Must be able to work varied shifts, including nights, weekends, and holidays.Physical RequirementsMust be able to:Lift or carry 10 pounds, unassisted, in the performance of specific tasks, as assigned.Physically access all areas of the property and drive areas with or without reasonable accommodation.Maintain composure under pressure and consistently meet deadlines with internal and external customers and contacts.Ability to interact appropriately and effectively with guests, management, other team members, and outside contacts.Ability for prolonged periods of time to walk, stand, stretch, bend, and kneel.Work in a fast-paced and busy environment.Work indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, dust, and cigarette smoke.",Associate,Machine Learning Engineer
+186,2025-03-28,The Cloud,,Snowflake,http://www.snowflake.com,"Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.","Build the future of the AI Data Cloud. Join the Snowflake team.The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their ML/AI workload to Snowflake. Our customers want to leverage ML/AI to extract business values from ever increasing data in Snowflake but face several challenges including infrastructure management, scaling, orchestration, performance and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure and scalable to enable end to end ML workflows. We are on an early journey to build the best machine learning and data platform for Snowflake customers without sacrificing the benefits of a single platform and governance.We are looking for a driven engineer who will play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state of the art ML/AI workloads. Join us to design and execute, engage and deliver innovation and unlock the power of AI for thousands of enterprise customers.YOU WILL:Design easy-to-use & intuitive APIs & systems for ML experts and non-experts to accelerate the E2E ML development and production lifecycleDesign and optimize systems to scale up and out ML data and trainingCollaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the customers’ business objectives.Be a strong contributor to the product vision and team planning.Build operational and release rigor with every feature/bug fix deployments.QUALIFICATIONS:Have 2+ years of industry experience designing, building, and supporting machine learning platforms, machine learning services & frameworks or data intensive systems.Working experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow.Fluent in Python. C++, Java, Go experience is a plus.Familiarity with Kubernetes (K8s) for container orchestration and scaling, plus experience setting up and maintaining CI/CD pipelines (e.g., Jenkins, GitLab, GitHub Actions), is a plus.A growth mindset and excitement about breaking the status quo by seeking innovative solutions.BS in Computer Science or related degree; Masters or PhD Preferred.Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.comThe following represents the expected range of compensation for this role: The estimated base salary range for this role is $157,000 - $230,000.Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.",Entry level,Software Engineer - Machine Learning Platform
+187,2025-03-05,,,Protogon Research,https://protogon.ai/,"Protogon Research builds AI models with a deep understanding of the world, and monetizes them through proprietary trading. Our long-term goal is to build superintelligence, which we believe will be the most transformative invention of the 21st century.
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+We believe that trading is a unique test-bed to develop highly intelligent AI systems. Focusing on trading provides us with several key advantages over other approaches. We can:
+- Develop proprietary models using proprietary datasets, which helps us avoid the race-to-the-bottom other AI companies are stuck in.
+- Rapidly translate technological improvements into increased revenue.
+- Focus on building innovative systems without the need for sales, marketing, customer support, or business development.
+- Build models optimized for a true understanding of the world, rather than simply replicating human behavior or generating superficially pleasing outputs.","Protogon Research builds AI models with a deep understanding of the world, monetizing them through proprietary trading. Founded and led by serial entrepreneur Rafael Cosman, the co-founder of Archblock and the DeFi Protocol TrueFi, Protogon Research is building superintelligence.We believe trading is a powerful testbed for developing highly intelligent AI systems, offering unique advantages over other approaches. Backed by top VCs, our highly technical team is on a mission to build the most transformative technology of the 21st century.Why Build AI Trading Systems?Focusing on trading provides several key advantages:Proprietary models and datasets - This helps us avoid the race to the bottom faced by many other AI companies.Fast innovation cycle - Technological advancements directly translate into increased revenue, allowing us to rapidly test and implement improvements.Pure focus on AI development - With no need for sales, marketing, or customer support, we can concentrate on building groundbreaking systems.True understanding, not imitation - We create AI that deeply understands the world rather than just replicating human behavior or generating superficially pleasing outputs.Unlike traditional quant funds, we dont focus on short-term profits but on the long-term success of our AI technology. While we leverage AI for trading, everything from our investors to our culture is aligned with this vision of lasting impact. Moreover, were not just another AI company layering a thin wrapper over existing technologies or burning through resources building models that are quickly commoditized. We focus on doing work every day that is original, proprietary, and defensible.We are a small, dynamic team of six based in Menlo Park, CA, and were seeking talented Machine Learning Engineers to help us build impactful technology and drive innovation. We believe working in person fosters the most fun, engaging, and creative work, so this role will be based at our Menlo Park office.Responsibilities & Expectations:Designing Model Architectures: Core work on improving our model architecture and training, with a focus on achieving measurable gains in model accuracy and reducing training timeEvaluating Model Performance: Working on the training framework to efficiently train and test models, and expanding how we characterize/measure our trained modelsExpanding Data Sources: Finding and integrating more novel data to increase model performance on backtest as well as real-world assessmentsMonitoring and Alerts: Designing monitoring systems to detect and alert the team to anomalies with live trading strategies, aiming to reduce detection and response time, minimize false positives, and improve system reliability.Who You Are:Experienced Machine Learning Engineer: Strong background in ML development with hands-on experience in both theoretical and practical applications. Proficient in deep learning frameworks such as PyTorch, TensorFlow, and Jax, with expertise in feature engineering, model optimization, and evaluating model performance. Minimum of 2 years of experience.AI/Financial Markets Enthusiast: Interested in AI, AGI, and financial markets.Discreet: Able to handle and protect proprietary technology and strategies with the highest level of confidentiality.Takes Ownership: Proactively takes responsibility, drives projects, and contributes effectively within a small, agile team. Nice to Have: Experience in quantitative finance, trading systems, or market modelingStrong programming skills in PythonKnowledge of high-performance computing (HPC) and distributed computing frameworksExperience with cloud platforms (AWS, GCP)What We Offer:Competitive SalaryComprehensive Benefits: Medical, Dental, and Vision coverageAdditional Benefits: 401K, FSA, and HSA optionsFlexible Time Off: Vacation policy, sick days, and holidaysNote: We are open to candidates who are interested in an engineering lead role, involving some recruiting and management responsibilities in addition to significant coding work. Compensation will be based on the scope of responsibilities and level of experience.At this time, we are unable to provide visa sponsorship. Candidates must have authorization to work in the United States without requiring sponsorship, now or in the future.If you are excited to grow with us, push the boundaries of what is possible, and be a part of shaping the future of AI, we'd love to connect!",Not Applicable,Machine Learning Engineer
+188,2025-03-21,Bellevue,Washington,Aditi Consulting,http://www.aditiconsulting.com,"Aditi is a Digital Engineering Services company. We partner with established and emerging enterprises by leveraging borderless talent across three continents to achieve transformative outcomes that will reshape their trajectory.
+
+We are committed to providing extraordinary experiences through all stages of the transformation journey to foster lasting relationships. We deliver tangible results through our broad range of services.
+
+We lead and support our clients’ efforts to discover, design, and deliver the products, systems, and processes required to deliver impact by leveraging deep insights, practical knowledge, and human spirit.
+
+With over 2000 employees, Aditi services 70+ Fortune 500 and emerging clients across three continents. We measure success by the value we create for our stakeholders and by the trust and loyalty we build.","Payrate: $70.00- $75.00/hr. Summary:Seeking a strong System / Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI ResponsibilitiesEngineer, design, implement, and improve highly scalable machine learning systems and tools for enabling researchResponsibilities include developing deep learning libraries that support large-scale distributed training, open sourcing high quality code and reproducible results for the community, and bringing the latest research to products for connecting billions of users. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projectsWrite clean and robust machine learning codeMinimum QualificationsDegree in Computer Science, Computer Engineering or relevant technical field5+ years experience with deep learningExperience developing machine learning algorithms or machine learning infrastructure in Python or C/C++ Preferred QualificationsDemonstrated software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Top 3 Skill Sets:PytorchMachine LearningPython Top 3 Nice to Have:Building Open Source Libraries for Machine LearningDistributed training for ML modelsExperience with Machine Learning Research, publishing papersExperience with python backends and APIsExperience in software design and development Pay Transparency: The typical base pay for this role across the U.S. is: $70.00- $75.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select.  Full-time employees are eligible to select from different benefits packages.  Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacy-policy). Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process.  AI technology is used to gather data only and does not replace human-based decision making in employment decisions.  By applying to this position, you agree to Aditi’s use of AI technology including calls from an AI Voice Recruiter. #AditiConsulting ",Entry level,Machine Learning Engineer
+189,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+190,2025-03-10,Chicago,Illinois,Attain,https://www.attainoutcomes.com,"We’re on a mission to build a more equitable and efficient data sharing ecosystem.
+
+People crave content, online experiences and advertising that’s relevant to them—but not at the expense of their privacy. Our journey is focused on transforming an antiquated system with new technologies to make sharing and using consumer data fair and effective.","About AttainBuilt for consumers and companies, alike. In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising.At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You'll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday.About the roleWe are leveraging machine learning (ML) and data science-based products to take Attain to the next level. To meet the growing needs of our business, we are searching for an experienced Machine Learning Engineer to enhance the development of a machine learning platform that enables data scientists and engineers across the company to easily build and deploy machine learning solutions at scale through a unified platform approach. This person will lead and experience first-hand how we transform machine learning models and algorithms into AI products for our consumers, customers and partners.What a typical week might look likeContribute to the development of our machine learning platform, driving for outstanding executionLead by example and define best practices for robust and efficient machine learning service development that includes data pipeline development and automation, model versioning, deployment, monitoring, feature store and continuous model training, etc.Design and manage CI/CD pipeline for our machine learning product deploymentCollaborate with a cross functional team of data scientists, engineers, product managers, business stakeholders to cost-effectively deliver AI services with quality, efficiency, and security Contribute to the machine learning engineering roadmap and prioritiesYou have4+ years of hands-on experience building and deploying machine learning modelsStrong expertise in developing and deploying offline and online machine learning services in productionSolid understanding of machine learning software and infrastructure developmentProficiency in PythonExperience with cloud computing services or platform (GCP preferred)Strong SQL skillsFamiliarity with version control and peer code review systemsDemonstrated ability to learn and embrace new technologies, applications, and approachesWillingness to roll up your sleeves and sometimes wear multiple hats across the data science team, depending on the needs of the businessStrong written and verbal communication skills and the ability to explain technical topics to both technical and non-technical audiencesWe're excited to hear from you. At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn't match every detail of the job description. If we don't see something that immediately fits, we will keep your resume on file for future opportunities.",Entry level,Machine Learning Engineer
+191,2025-02-20,Little Rock,AR,"Inuvo, Inc",http://inuvo.com/,"The IntentKey Platform — Build, Refine & Activate AI-Powered Audiences That Boost Your Campaigns. 🚀","DescriptionInuvo, Inc. (NYSE American: INUV) is an Artificial Intelligence based technology company that designs, develops, and patents proprietary advertising solutions that it sells through agencies, directly to brands, and integrated into advertising platforms.Inuvo is seeking a highly skilled and motivated Machine Learning Engineer / Data Scientist to join our team. The ideal candidate is a problem solver, detail-oriented, and committed to delivering high-quality solutions. This role requires expertise in data analysis, machine learning, and algorithm design. The ideal candidate needs to have development experience. Candidates should thrive both independently and in collaborative, small-team environments. Salary range for this position: $100-$140k.Primary ResponsibilitiesServe as a member of the Data Science and Machine Learning team, reporting directly to the Director of Data Science.Design, implement, and deploy high-performance, scalable machine learning algorithms.Develop and enhance large-scale data analytics tools and frameworks.Drive innovation by exploring and applying cutting-edge machine learning and data science methodologies.RequirementsPh.D. in Computer Science, Statistics, Engineering, or a related technical field.At least 3 years of software development experience in Java or Python.Minimum 3 years of experience in machine learning, data science, algorithm design, and large-scale statistical analysis.Proficiency in large-scale data processing tools such as Spark or Hadoop.Experience with Large Language Models (LLMs) and Natural Language Processing (NLP) is highly desirable.Strong understanding of data structure optimization and algorithm scalability.Familiarity with AWS and its suite of data analytics/ML tools is a plus.Knowledge of Kafka, Hive, SQL, and shell scripting is an added advantage.Proven track record of working on complex, modular projects with the ability to define designs and test scenarios independently.Strong curiosity and enthusiasm for data exploration and discovery.Proficient in verbal and visual storytelling with data to communicate insights effectively.US work authorization.What We OfferA collaborative and supportive work environment with opportunities to lead and innovate.Engagement in impactful projects with cutting-edge technologies.Opportunities for continuous learning and career growth.Inuvo BenefitsCompetitive health benefits, including medical, vision, dental, and various voluntary benefits. Flexible vacation, holiday, and sick leave. 401(k) Plan with company matching.Offer a hybrid of in-office and remote work. Inuvo is an Equal Opportunity Employer and seeks to foster community, inclusion, and diversity within the organization. We encourage all qualified candidates, regardless of racial, religious, sexual, or gender identity, to apply.",Entry level,Machine Learning Engineer- Data Scientist
+192,2025-03-31,Redmond,Washington,Microsoft,https://news.microsoft.com/,"Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. 
+
+Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.","Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.As a Software Engineer on AI and/or ML projects you will develop software, tools, and code to be used in support of design, infrastructure, and technology platforms including large and small language models (LLMs/SLMs). This opportunity will allow you to create and implement extensible and maintainable code and prompts for a product, service, or feature. You will partner with stakeholders to determine user requirements for a feature and consider a variety of feedback channels to incorporate insights into future designs or solution fixes. You will collaborate with others to create a clear and articulated plan for testing, assuring quality of solutions, while applying knowledge of debugging tools, logs, telemetry, and other methods to proactively flag issues. This opportunity will allow you to learn about customer scaling requirements and the application of best practices for meeting scaling needs and performance expectations, while ensuring the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. You will also consider the impact of AI technology, including applying Microsoft’s responsible AI practices.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.Please note this application is only for roles based in our Redmond, Washington office and/or roles that are not tied to a specific Microsoft office location. For roles in other offices in the United States, please see our Careers site. ResponsibilitiesLearns to review and break down work items into tasks with stakeholder collaboration, provide estimations, and escalate delays, while also supporting feature deployments to customers, considering user and service impacts, and adhering to best deployment practices for safety.Collaborates with key stakeholders to define feature requirements, integrates feedback to enhance design, and establishes feedback loops for continuous improvement based on customer metrics.Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions. Specifies or implements AI platform improvements like fine-tuning or training custom ML models.Learns and applies coding standards and best practices through code reviews, developing maintainable and extensible code with guidance. Utilizes debugging tools to proactively and reactively address issues in product features, ensuring code quality and reliability.Supports the identification of dependencies and design documentation for product features, learns about system interactions and back-end dependencies, and contributes to architectural processes under guidance. Produces code to test hypotheses for technical solutions and assist with technical validation efforts. Collaborates on quality assurance plans, augments test cases, and integrates automation into testing, while understanding the implications of security and compliance in system architecture.Contributes to data analysis and feedback integration for product engineering decisions, acting as a Designated Responsible Individual (DRI) for monitoring and restoring system functionality within Service Level Agreement (SLA) timeframe. Participates in live service operations, and supports telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety.Develops and applies best practices for reliable code building, understands global and local regulations, customer scaling requirements, and support communication with key partners across Microsoft for user experience enhancement and partner needs.Ensures compliance with security, privacy, safety, and accessibility standards, leverages developer tools for code creation and debugging, contributes to automation in production and deployment, and proactively seeks knowledge to improve product availability, reliability, efficiency, and performance at scale.Understands and applies Microsoft’s responsible AI practices to ensure systems meet our commitments to our customers.QualificationsRequired QualificationsBachelor's Degree (or currently pursuing a degree) in Computer Science or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.OR equivalent experience. Preferred QualificationsBachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.OR Master's Degree (or currently pursuing a degree) in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.Demonstrated interest in AI/ML technologies. Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $81,900 - $160,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $105,600 - $174,600 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay.Microsoft will accept applications and process offers for these roles on an ongoing basis.Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.",Not Applicable,"Software Engineer - AI/ML, Multiple Locations"
+193,2024-10-28,Durham,NC,CoVar,http://www.covar.com,"CoVar is a leader in machine learning and artificial intelligence solutions. We create customized algorithms that are revolutionizing problem-solving for defense, healthcare, and industry. See how our machine learning and software technologies can change the paradigm for your organization.","About CoVarCoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.About this positionYou will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.QualificationsApplicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques. Previous experience with DoD customers is a plus.Minimum qualificationsSoftware expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related fieldExcellent technical communication skillsAbility to work in Durham, NC (relocation assistance available)Eligibility for US security clearance (US citizenship is required)Bonus skillsDepartment of Defense project experienceBenefitsCompetitive salary, cash bonus, equity structure, and 401k with employer contributionsExcellent health care coverage, including dental and vision plansFlexible work scheduleTuition supportVisit us: www.covar.com",Not Applicable,Machine Learning Engineer
+194,2025-03-22,Hybrid-remote workplace,,Fetch,https://business.fetch.com,"Fetch, America's Rewards App, empowers consumers to Live Rewarded and helps brands create lifelong customers through the power of Fetch Points. 
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+Fetch has sweeping visibility into what consumers buy, capturing more than $179 billion worth of transactions annually using cutting-edge artificial intelligence and machine learning technologies. To date, Fetch users have submitted more than 5 billion receipts and earned more than $1 billion in rewards. 
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+The app is available to download on the App Store and Google Play Store and has more than 6 million five-star reviews from happy Fetchers. ","What we’re building and why we’re building it. Every month, millions of people use America’s Rewards App, earning rewards for buying brands they love – and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we’ve delivered more than $1 billion in rewards and earned more than 5 million five-star reviews from happy users.It’s not just our users who believe in Fetch: with investments from SoftBank, Univision, and Hamilton Lane, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.Fetch is an equal employment opportunity employer.Meet Fetch EngineeringAt Fetch, our engineering philosophy emphasizes innovation, adaptability, and informed decision making. Our engineers thrive in complex environments, making decisions based on critical thinking and data, even in uncertain situations. We value proactive problem-solving and focus on driving impactful results while maintaining high technical standards. You will work alongside talented engineers who are dedicated to pushing the boundaries of technology and encouraging each other to excel. We understand that Fetch may not be the right fit for everyone, but if you're passionate about solving challenging problems and navigating intricate systems, Fetch could be a great place for you.About The RoleThe ML Engineering team embodies these values and works to enable intelligent systems for end users, internal stakeholders, and external partners. As a Machine Learning Apprentice, you will contribute to this vision and reap the rewards of joining an exciting company in the high growth phase. Among other things, Fetch uses ML/AI to power receipt understanding (digital and physical), fraud detection, and we’re rapidly evolving in the space of ads ranking, recommendation, search, and discovery. Machine learning is core to our product and we’re working to make it an even bigger part of the company.You will work on solving challenging problems at the intersection of developing the models and the infrastructure needed to operationalize them at scale. The ML Team at Fetch is responsible for the full life-cycle of machine learning. This includes data labeling/collection/management, model development, and deploying to large-scale production settings. We work closely with backend, devops and data engineers on focused teams.If you are a connector at heart and love the challenge of breathing life into a product vision by building the predictive tools and models which will propel the experience for our users and insights for our partners to new heights– we’d love to hear from you!In Your Toolbox (Minimum Requirements)Solid foundation of fundamental or object oriented programming skills; we use a lot of Python in this problem space but proficiency in other languages is equally welcome.Experience building and/or training ML models using a Python Framework, such as PyTorch or TensorFlow, in a classroom setting or hands-on environment (e.g. prior work experience, side projects, research, or coding competitions)Experience deploying applications to a public cloud environment (e.g. AWS)Passion for tackling challenging and ambiguous problems in a fast-paced environmentAbility to effectively communicate across a variety of technical and nontechnical audiences Desire to grow your software engineering skills through collaboration, open communication, direct feedback and knowledge sharing Bonus PointsStatistical testing and analysis experience (e.g. A/B testing, experimental design); you understand the math behind what makes these models workExperience with test writing and quality assurance methodologieExperience working with compilers such as ONNX, TensorRT, Triton, or CUDA Experience with search, ranking or adsExperience building fraud detection modelsExperience with model servers like TFServing/TorchServe/TritonExperience collaborating cross-functionally with backend and mobile engineers, devops engineers, data scientists, et al. Program EligibilityAbility to work full-time (40 hours per week) from either the Chicago or Madison Fetch office for a fixed term of 12-16 weeks. While a degree is not required for this position, the apprenticeship program is not intended for students who are actively enrolled in a full-time, degree-seeking program. Due to the short-term nature of this role, we are not able to transfer existing H1Bs or support new applications for the FY 2026 lottery.CompensationFetch software engineering apprenticeship roles pay $50/ hour. Please note: pay for this role is not negotiable.",Internship,"Machine Learning Engineer, Apprentice"
+195,2025-03-31,San Ramon,California,Grid Dynamics,http://www.griddynamics.com,"Grid Dynamics empowers enterprise-scale companies to drive revenue growth, boost efficiency, and maximize the impact of their digital modernization initiatives. 
+
+Our clients span diverse industry verticals such as Retail, Manufacturing and CPG, Insurance, Wealth Management, Banking and Payments, Pharma and Life Sciences, and High-tech. We co-innovate with clients to help them solve complex business challenges and uncover new revenue streams through our technology consulting, platform and product engineering, AI, and advanced analytics services. 
+
+With expertise in simplifying and modernizing business operations, we enable clients to make data-driven decisions and support an evolving digital customer, from initial engagement to post-purchase support, driving efficiency and growth across business operations. 
+
+In addition to our work with enterprise leaders, we serve as a trusted co-innovation partner for startups, helping them address key challenges and transition into young enterprises poised for sustainable growth. By combining our deep technical expertise with a collaborative approach, we empower businesses—from startups to enterprises—to reach new heights.
+
+A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, application modernization, cloud & DevOps, and customer experience. Grid Dynamics offers a range of starter kits to its clients, enabling increased speed-to-market with business driving solutions.  
+
+Grid Dynamics is headquartered in Silicon Valley with a global footprint (Americas, Europe, and India) and a follow-the-sun delivery model bolstered by engineering talent driven by innovation, technical mastery, and resulting in transformational business outcomes.","We are seeking a highly skilled ML Engineer to join our team. You will work on creating robust and scalable systems, enhancing our project code base, and ensuring seamless integration pipelines.Responsibilities : Design and implement complex LLM applications for enterprise-scale solutionsLead LLM quality evaluation initiatives, including developing metrics and automated testing frameworksDrive LLM/VLM fine-tuning projects, including dataset preparation and optimizationDevelop and maintain ML pipelines following MLOps best practicesCollaborate with cross-functional teams to integrate ML solutionsMentor team members on ML engineering best practicesContribute to architectural decisions for ML systemsEvaluate and implement new ML technologies and frameworksDocument technical designs and maintain engineering standardsRequirements: 5+ years of experience in Machine Learning EngineeringDeep expertise in designing and implementing complex LLM applications, including multimodal, RAG, and agent-based systemsProven experience with LLM quality evaluation, including metric design and automation frameworksStrong background in LLM/VLM fine-tuning and distributed training frameworks (Ray or similar)Expert-level Python programming skills with focus on ML/data applicationsSolid understanding of MLOps and LLMOps principles and best practicesExperience with production ML systems and scalable data processing pipelinesMS/PhD in Computer Science, Machine Learning, or related field preferredWhat we offer: Opportunity to work on bleeding-edge projects.Work with a highly motivated and dedicated team.Competitive salary.Flexible schedule.Benefits package - medical insurance, sports.Corporate social events.Professional development opportunities.NB:Placement and Staffing Agencies need not apply. We do not work with C2C at this time.At this moment, we are not able to process H1B transfers. Applicants with CPT and OPT visas are welcome to apply.About Us: Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe.To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.",Mid-Senior level,Machine Learning (ML) Engineer
+196,2025-03-26,New York,NY,Quantitative Systems,http://www.quantitativesystems.com,"Welcome to Quantitative Systems. Quantitative Systems is an executive technology search firm that focuses on finding the best technical talent.  We focus our resources on finding the most talented software engineers in the world across multiple industries.
+
+We are experts at identifying the best software developers in the world.  We are always searching for programmers who are talented in any of the major object oriented languages: such as Java, C++, C#, or Ruby on Rails.
+
+Quantitative Systems has a practice that is dedicated to Quantitative trading.  This particular part of Quantitative Systems focuses on finding software development professionals that have a keen interest and understanding of the financial markets and systematic trading.  Quantitative Trading has been defined as the systematic implementation of trading strategies that human beings create through rigorous research where as systematic is defined as a disciplined, methodological, and/or automated approach.  We support many software and infrastructure related positions throughout the field of finance.
+
+Quantitative Systems also has a dedicated search practice for each Media, Start-ups, and Technology companies.  Since the lines between media, start-up and technology can blur at times, we just make sure we find the best software developers on the planet for our clients.","Machine Learning EngineerRemoteAbout the RoleA fast-growing data infrastructure company is seeking a founding Machine Learning Engineer to lead a new initiative focused on intelligent decision-making and predictive automation. While the platform already enables large-scale customer data activation, the next phase involves embedding intelligence directly into engagement and operational workflows.This is a high-impact, greenfield role for someone who can architect, implement, and scale machine learning systems that drive real-time actions from complex data. You’ll help shape product direction, collaborate with product and engineering leadership, and play a key role in how businesses use data to make timely, automated decisions.What You’ll DoBuild and deploy models that drive intelligent engagement: who to reach, how to engage, and when to act.Translate ambiguous customer problems into practical machine learning systems with measurable outcomes.Architect infrastructure to support model training, inference, and ongoing experimentation.Integrate predictive outputs into existing data pipelines and platform APIs.Collaborate directly with internal teams and select design partners to validate solutions and refine system behavior.Own the development of tools for monitoring, evaluation, and continuous improvement of models in production.What We're Looking For4+ years of experience applying machine learning in a production environment.Proficiency in Python and familiarity with core ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).Solid understanding of modeling techniques for classification, scoring, and behavioral analysis.Hands-on experience working with structured event data or analytics data from SaaS platforms or data infrastructure tools.Background in backend, data engineering, or ML platform design is a strong plus.Strong problem-solving skills, communication ability, and comfort working in fast-moving environments.Why This RoleLead the creation of an intelligence layer from the ground up, with high visibility and strategic impact.Work with real-time, high-volume customer data powering some of the world’s most recognizable brands.Join a team that values pragmatism, technical excellence, and cross-functional collaboration.Opportunity to shape how businesses interact with customer data through automation and intelligence.Remote flexibility, competitive compensation, and the backing of top-tier investors with over $80M raised to date.",Mid-Senior level,Machine Learning Engineer
+197,2025-03-28,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Your team will be a diverse, and collaborative group of machine learning (ML) engineers, software engineers and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. We achieve those goals by jointly modeling the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions, and the full sensor suite including camera, Lidar and radars.To increase the fidelity, scalability and controllability of our simulations,we employ the latest ML technologies such as large language models, foundational world models, and reconstructive methods trained on large-scale datasets with both generative and reconstructive technologies.In this hybrid role, you will report to a Senior Staff Engineering ManagerYou WillJoin our world-class research engineering team and drive innovation in ultra-realistic sensor data and perception simulation for autonomous vehicles. You will develop the latest simulation technologies using foundation models for embodied agents. Apply your deep ML expertise, in Generative AI (GenAI), to push the boundaries of simulation realism and directly influence the advancement of autonomous driving technology. Work in close collaboration with Waymo's foundational AI research team to transfer State-of-The-Art research into scalable and production-ready solutions. You HavePhD in Computer Science, Machine Learning (ML), Robotics, or similar technical field of study, or equivalent practical experience. 2+ years of experience with ML engineering and applied Deep Learning. 2+ years of experience on Multi-modal Generative Models, including diffusion or foundational world models, OR machine learning-based 3D Reconstruction techniques, including 3D Gaussian Splatting (3DGS) and Neural Radiance Fields (NeRF), depth estimation techniques. Fluency in Python, with experience developing ML software using frameworks such as PyTorch, TensorFlow and Jax/Flax We PreferExperience with processing or simulating (Lidar, Camera, or MIMO Radar) sensor data. Experience with autonomous systems including robotics or autonomous vehicles (L4, L3+). Experienced with C++, in integrating ML models into a production system. Experience training large-scale models on GPU/TPU clusters. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$170,000—$216,000 USD",Entry level,"Machine Learning Engineer, Perception and Sensor Simulation"
+198,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesThe TikTok Ads Creative & Ecosystem team's mission is to solve the above dilemma, by building industry-leading tech solutions for ads creative/landing page understanding, production/generation, and optimization, to inspire and empower advertisers, creators, and other 3rd parties in the ecosystem to create and deliver the best engaging creative experiences to the end users. Our work is at the core of TikTok and creator monetization. Examples of our team's work include TikTok video editor, AI-powered smart video generation (we are also exploring AIGC), and TikTok creative exchange (a creative marketplace to connect TikTok advertisers with creators or third-party creative agencies).We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. It Runs For 12 Weeks Beginning In May/June 2025 . Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23Please state your availability clearly in your resume (Start date, End date).Responsibilities: Participate in the development of a large-scale Ads system. Participate in the development and iteration of Ads algorithms by using Machine Learning, including ads query understanding, ads targeting, ads ranking, model serving reliability, etc. Explore, develop and experiment with new features to improve model accuracy. Partner with product managers and the product strategy & operation team to define product strategy and features.QualificationsMinimum Qualifications:Currently pursuing a BS/MS degree in Computer Science, Computer Engineering or other relevant majors. Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. Good analytical thinking capability. Have essential knowledge and skills in statistics. Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.). Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism. Strong communication and teamwork skills. Passion about technologies and solving challenging problems.Preferred Qualifications: Strong understanding of recommender systems, including collaborative filtering, content-based methods, matrix factorization, and deep learning approaches, as well as key metrics (e.g., CTR, CVR, ROI) and personalization techniques in online model prediction. Experience with large-scale data processing and machine learning frameworks (e.g., TensorFlow, PyTorch, Spark, or Hadoop) to build and deploy scalable recommendation models. Proficiency in programming with C++, Python, and Golang to develop high-performance recommendation engines, optimize system performance, and build scalable backend services. Strong data analysis and model debugging abilities, including diagnosing model performance issues, analyzing user behavior data, and improving system effectiveness based on insights from A/B testing and offline evaluation metrics.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $45- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (Creative AI) - 2025 Summer (BS/MS)
+199,2025-03-23,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The Observability Team provides a platform and suite of products that enable Netflix engineers to monitor service behavior in real time, detect system health anomalies, and troubleshoot issues. This role is part of the Monitoring and Alerting team, a crucial part of our Observability engineering group.As Part Of The Team, You Will Work across a suite of observability products including System Health Experience, Alert configuration and management tools and Issue Management Experience.Define and implement a forward-looking strategy for Netflix's AI Ops platform, focusing on the integration of Machine Learning algorithms and cutting-edge Generative AI techniques to enhance application resilience in conjunction with observability platforms. Build Systems that integrate internal Observability data with LLMs for more effective guidance when diagnosing issues.Contribute to a platform that processes billions of data points in real time every minuteProvide mentorship to early career engineers on the team, fostering their growth and development. About You6+ years of experience in high-scale, modern tech-driven companies.You consider yourself an Applied Machine Learning engineer and have experience in both developing backend and applying Machine Learning algorithms at scale for a good part of your career. You act like an owner and have expertise in building and maintaining backend servicesYou are proficient in designing, building, and operating algorithms or leveraging APIs for Monitoring and Alerting applications. You are familiar with the latest techniques and applications of Generative AI.You are proficient in distributed computing frameworks that enable efficient handling, analysis, and processing of large datasets, such as Apache Spark for fast, in-memory data processing, and Apache Kafka for real-time data streaming.You have built, maintained, evolved, and/or sunset a variety of APIs. You can confidently describe the API’s schema, purpose, response types, and up/down-stream services.You are proficient in working with Java (or JVM language) and Python.You are knowledgeable about and are willing to own all areas of the software lifecycle: design, development, test, deploy, operate, and support.You possess exceptional communication and collaboration skills, effectively engaging with a diverse, cross-functional team of stunning colleagues. Capable of working independently, yet excel in a dynamic team environment.Have a product mindset that is deeply empathetic to customer needs, strategic in orientation, and metrics and outcomes-driven.Nice To HaveYou have used or built observability products involving logs, metrics, and traces. Familiar with ML algorithms for detection and classification of system faults, such as Real-time anomaly detection, Outlier detection, time series analysis and forecasting, etc.About NetflixOur culture is unique, and we live by our values, so it’s worth learning more about Netflix culture.Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Applied Machine Learning Backend Engineer (L5), Monitoring & Alerting"
+200,2025-03-24,St Petersburg,Florida,EVONA,http://www.evona.com,"We believe in the evolution of knowledge and the progression of people - it is so core to our business, it's the meaning of our name: EVO - to evolve, ONA - people. ​
+
+EVONA Group brings together pioneering talent solutions for today’s most ambitious companies, with a suite of services designed to meet the unique demands of space, defense, and deep tech.
+ 
+FRACTION - www.evonafraction.com - connects VCs, PEs, and founders with fractional executives, bringing high-impact expertise exactly when it’s needed. 
+
+GRAM PARTNERS - www.grampartners.com -  is our white-glove executive search and consulting service, led by former SpaceX and Apple executives, delivering unmatched precision in high-level talent acquisition. 
+
+EVONA - www.evona.com -  is the original, award-winning subscription and direct hire service for VP, director, management, and individual contributor roles, trusted by top companies for a seamless recruitment experience.
+ 
+Our platforms empower you to source talent independently or access curated executive search expertise – and we’ve built a following you can leverage to drive your mission forward.
+
+Call on: +1 202-381-9944 (US) or +44117 2034444 (UK)","Job Title: Machine Learning EngineerSalary: $140,000 - $170,000Location: Washington D.C (Hybrid/Remote)My client is an expanding start-up who are pioneering the future of space weather intelligence. Their platform leverages cutting-edge science and advanced machine learning to create fully integrated solutions which enhance resilience and mitigate risks from the space environment. They are currently seeking a talented Machine Learning Engineer to join their team and help develop ML models that turn complex data into actionable insights, driving the next generation of space-tech applications.Key Responsibilities:Design and deploy machine learning models to analyze and interpret physics-based data, especially in the areas of space weather, satellite telemetry, and atmospheric dynamics.Implement numerical modeling techniques to simulate physical systems, integrating these with ML approaches for enhanced predictive accuracy.Collaborate with cross-functional teams to understand project requirements and to translate complex, physics-based processes into ML solutions.Optimize model performance and scalability for deployment on cloud platforms (AWS).Implement data preprocessing, feature engineering, and data augmentation techniques to improve model accuracy.Build, maintain, and improve data pipelines, ensuring the seamless flow of data from ingestion to deployment.Monitor and evaluate model performance post-deployment, making updates as needed for continuous improvement.Ensure models adhere to security, privacy, and regulatory standards.Qualifications:Proven experience in developing and deploying machine learning models using Keras, TensorFlow, PyTorch, Jax, or similar modern frameworks.Experience building numerical and ML models of physics-based systems with exposure to large datasets or distributed systems.Strong background in data science, including experience with data preprocessing, feature engineering, and model evaluation.Proficiency in cloud platforms (AWS) for deploying and scaling machine learning models.Familiarity with containerization tools like Docker for model deployment.Solid understanding of statistical methods, algorithms, and performance metrics used in machine learning.Strong problem-solving and communication skills, and the ability to work collaboratively in a fast-paced environment.Preferred Qualifications:Background in physics, atmospheric science, aerospace, electrical engineering, or a related fieldExperience building Physics-Informed ML models (PINN, DeepOnet, FNO/AFNO) using frameworks such as DeepXDE or ModulusKnowledge of MLOps practices, including CI/CD for ML, model versioning, and automated monitoring. Experience putting ML models into production.Relevant certifications in cloud platforms or machine learning frameworks.Experience with real-time data processing (Spark, Flink, Dataflow, Kafka, Pulsar, etc.)Experience debugging and maintaining live production systems on Kubernetes.",Mid-Senior level,Machine Learning Engineer
+201,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+202,2025-04-07,San Jose,CA,PayPal,https://www.paypal.com/us/home,"We're championing possibilities for all by making money fast, easy, and more enjoyable. Our hope is unlock opportunities for people in their everyday lives and empower the millions of people and businesses around the world who trust, rely, and use PayPal every day. 
+
+For support, visit the PayPal Help Center. https://payp.al/help
+
+For employment opportunities, check out our job openings in the 'Jobs' tab. We're an equal opportunity employer that welcomes diversity, and offer generous benefits to help you thrive at work and in your free time.
+","The CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Description Summary:PayPal is seeking a talented Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces including Venmo and PayPal. Your goal will be to optimize the customer journey through personalized, thrilling experiences. With a strong background in Machine Learning and practical experience in building and implementing large scale predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.Job Description:Your day to day Develop and implement advanced ML models, such as graph neural networks and deep learning models, to solve critical business problems related to recommendation of PayPal products, personalizing product experiences including UI flows, and optimizing the lifecycle of the customers on the platform.Design and deploy scalable generative AI solutions as part of the ecosystem.Design and deploy scalable ML/AI solutions that enhance PayPal's ability to provide a seamless customer experience, by working closely with our engineering group and PayPal's Platforms organization.Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise.What do you need to bring:Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 3+ yrs. of relevant industry experience or PhD with 2+ yrs. of relevant industry experienceExperience in any one of Recommendation, Ranking, Product and Marketing domains a big plusProficient in Programming languages such as Python, SQL. Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch. GCP/Hadoop and big data experience – an advantageExperience leading ML projects and great track record delivering solutions with attention to detail and efficiencyExperience shipping Realtime models a big plusFluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insightsPayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is PayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is $84500 to $204600For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspxCommitment to Diversity and InclusionPayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.Belonging at PayPal:Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please Join our Talent Community.We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.Notice to Applicants and Employees who reside within New York city. Click https://careers.pypl.com/Contact-Us/default.aspxto view the notice.REQ ID R0118714",Not Applicable,Machine Learning Engineer
+203,2024-11-26,San Mateo,California,Eve,https://www.eve.legal/,"Eve optimizes your casework from intake to resolution.
+Seamlessly integrate an AI case assistant that optimizes your firm into an AI-native powerhouse - securely and responsibly.","Company Overview:Eve is an industry leader in legal tech, empowering plaintiff attorneys with AI-driven solutions to achieve better outcomes for their clients. Our core values—Excellence, Visionary Innovation, and Elevation—drive everything we do. We are committed to providing tools that transform the legal industry and support our clients' success at every step. Targeting a total addressable market (TAM) of over $500 billion, we are positioned at the forefront of a rapidly expanding industry.Our mission is to re-imagine the way the legal industry operates by creating “AI-native law firms” that are managed, scaled, and operated by software rather than armies of people. Our initial focus is building a platform that empowers plaintiff lawyers in case work, leveraging advanced AI models, thoughtful design, and precise engineering. Our team is composed of industry experts and engineers with experience at innovative companies like Rubrik, Facebook, and Scale.Why Join EveTransformative Mission: We are pioneering the application of AI in the legal industry, crafting solutions that redefine how law firms operateSmall, Talent-Dense Team: Join a flat, agile team of top talent passionate about revolutionizing the legal industryRapid Innovation: Be part of a fast-paced environment where your contributions directly influence the success of our missionWorld-Class Expertise: Work with a team that values expertise, creativity, and impact to build solutions with lasting significanceWhat You Will Accomplish As a Machine Learning EngineerDevelop AI-Powered Solutions: Design and implement AI systems that understand, analyze, and provide intelligent assistance across various legal tasks and queriesOptimize and Integrate Models: Architect and optimize AI systems by combining multiple models and tools, solving real-world legal problems with precision and scalabilityAdvance AI Reasoning: Improve the reasoning capabilities of our AI systems to enhance decision-making and support complex legal domainsBuild Rigorous Evaluation Frameworks: Establish frameworks that rigorously measure and evaluate AI performance, ensuring meaningful, reliable outcomesCollaborate with Domain Experts: Partner closely with legal professionals to translate their expertise into technical requirements, tailoring AI solutions to legal industry needsWhat We Are Looking ForEducational Background: Bachelor’s or Master’s degree in Machine Learning, Artificial Intelligence, Computer Science, or a related fieldExperience in Complex AI Systems: Proven experience developing advanced AI systems, particularly those that deconstruct complex tasks into manageable stepsExpertise in Model Optimization: Proficiency in optimizing and fine-tuning foundational models, with a desire to push AI capabilities forwardAnalytical Skills: Strong ability to measure impactful metrics and build frameworks to assess AI performance effectivelyProblem-Solving Skills: Skilled in integrating various models and tools to create robust solutions for real-world applicationsYou Will Thrive In This Role If You Have:A passion for AI and its potential to transform traditional industries like legalAn eagerness to architect complex AI systems that solve practical, high-impact problemsCuriosity about improving AI reasoning in challenging, multifaceted domainsA collaborative spirit, excited about translating domain expertise into technical innovationsA commitment to measuring and achieving meaningful outcomes, setting high standards for AI performanceBenefits401(k) with Company MatchComprehensive Health, Dental, and Vision InsuranceUnlimited PTO for work-life balanceAn inclusive, collaborative, and innovation-driven work environmentCompensationCompensation at Eve is highly competitive and determined based on experience, seniority, and considerations of both internal and external equity, as well as location. For this position, the base salary range is between $195,000 - $255,000 USD per yearIn addition to a compelling salary and performance-based bonuses, we offer an equity component that provides meaningful ownership and the opportunity to share in the company's long-term successHybrid Work Policy:We meet in our San Mateo office from Monday to Wednesday, working remotely the remainder of the week.",Not Applicable,Machine Learning Engineer
+204,2025-04-02,Newark,California,Lucid Motors,https://www.lucidmotors.com,"We launched Lucid in 2016 to build the world’s best cars and accelerate the shift to clean energy. Our vehicles deliver best-in-class performance *and* efficiency. Equally important, we’re building a world-class team: From our state-of-the-art factory in Arizona to our global headquarters in California’s Silicon Valley, we’re recruiting high-performing people who want to help decarbonize Earth. Join us!","Leading the future in luxury electric and mobilityAt Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.Leading the Future in Luxury Electric and MobilityAt Lucid Motors, we aim to redefine the automotive experience by creating the most captivating, luxury electric vehicles that elevate human experience and push the boundaries of space, performance, and intelligence. Our vehicles are designed to be intuitive, liberating, and engineered for the future of mobility.We are committed to leading this new era of luxury electric mobility by returning to the fundamentals of great design—where every decision we make serves both the individual and the environment. Free from the constraints of convention, we empower you to define your own experience.Join a team of some of the most accomplished minds in the industry. In addition to competitive salaries, we offer a collaborative environment where innovators can make an immediate and meaningful impact. If you are passionate about building a better, more sustainable future, Lucid Motors is the place for you.We are looking for an experienced Perception Machine Learning Algorithm Engineer to join our ADAS/Autonomous Driving team. This position requires a highly skilled professional with a strong background in machine learning, computer vision, and perception algorithms, as well as solid programming expertise.As a member of Lucid’s Perception team, you will research, design, implement, optimize, and deploy state-of-the-art machine learning models that advance perception algorithms for autonomous driving. You will conduct literature reviews, develop and modify models to enhance performance, and contribute to the deployment of these models in production vehicles.Role and Responsibilities Develop and optimize perception algorithms for Level 2/3 autonomous driving systems using camera and LiDAR data. Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning. Research and integrate BEV-based transformer models for perception tasks. Collaborate with cross-functional teams to ensure seamless integration and robust implementation. Test, release, and deploy perception algorithms into Lucid production programs. Support the validation and verification of perception algorithms using prototype and pre-production vehicles. Propose innovative software algorithms to enhance future autonomous driving capabilities.Required Qualifications Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation. Proficient in Python with a focus on clean, efficient, and scalable software development. Comfortable working with large codebases and debugging complex machine learning models. Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet). Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments. Excellent communication skills and a strong team player. Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field. Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a senior position. Advanced degrees are preferred.Preferred Qualifications Experience developing BEV transformer models for perception. Proficiency in C++ with experience writing efficient, maintainable code. Practical, hands-on approach to solving complex problems in autonomous driving. Experience in testing and validating perception systems in real-world conditions. Experience working in agile development teams. Expertise in component and system integration, testing, and verification at the system and vehicle levels.Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)Base Pay Range (Annual)$136,200—$187,330 USDBy Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.",Entry level,Machine Learning Engineer - Autonomous Driving
+205,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+206,2025-04-03,Redmond,Washington,Microsoft Innovation Center,https://www.microsoftinnovationcenters.com,"Microsoft Innovation Center provides students, customers and partners with a comprehensive set of programs and services. The goal of these centers is to foster innovation and growth in local software economies.
+MIC provides access to world-class resources for students, software developers, IT professionals, academic researchers and entrepreneurs.
+
+Primary areas of focus include:
+A.	Building skills and intellectual capital through training courses, employment programs and mentoring experiences. 
+B.	Fostering industry partnerships through programs on how to work successfully with Microsoft, as well as through the cultivation of local and regional industry alliances. 
+C.	Increasing innovation at the local through hands-on engagements, such as labs geared towards the interests of ISVs, startups, partners, students, entrepreneurs.
+MIC partners with local government, academic institutions, industry organizations and software vendors with the ultimate goal of fueling long-term economic growth in the IT industry.
+","OverviewCome build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes .As a Software Engineer on AI and/or ML projects you will develop software, tools, and code to be used in support of design, infrastructure, and technology platforms including large and small language models (LLMs/SLMs). This opportunity will allow you to create and implement extensible and maintainable code and prompts for a product, service, or feature. You will partner with stakeholders to determine user requirements for a feature and consider a variety of feedback channels to incorporate insights into future designs or solution fixes. You will collaborate with others to create a clear and articulated plan for testing, assuring quality of solutions, while applying knowledge of debugging tools, logs, telemetry, and other methods to proactively flag issues. This opportunity will allow you to learn about customer scaling requirements and the application of best practices for meeting scaling needs and performance expectations, while ensuring the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. You will also consider the impact of AI technology, including applying Microsoft’s responsible AI practices.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Please note this application is only for roles based in our Redmond, Washington office and/or roles t hat are not tied to a specific Microsoft office location . For roles in other offices in the United States, please see our Careers site . Responsibilities Learns to review and break down work items into tasks with stakeholder collaboration, provide estimations, and escalate delays, while also supporting feature deployments to customers, considering user and service impacts, and adhering to best deployment practices for safety.  Collaborates with key stakeholders to define feature requirements, integrates feedback to enhance design, and establishes feedback loops for continuous improvement based on customer metrics.  Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions. Specifies or implements AI platform improvements like fine-tuning or training custom ML models.  Learns and applies coding standards and best practices through code reviews, developing maintainable and extensible code with guidance. Utilizes debugging tools to proactively and reactively address issues in product features, ensuring code quality and reliability.  Supports the identification of dependencies and design documentation for product features, learns about system interactions and back-end dependencies, and contributes to architectural processes under guidance. Produces code to test hypotheses for technical solutions and assist with technical validation efforts. Collaborates on quality assurance plans, augments test cases, and integrates automation into testing, while understanding the implications of security and compliance in system architecture.  Contributes to data analysis and feedback integration for product engineering decisions, acting as a Designated Responsible Individual (DRI) for monitoring and restoring system functionality within Service Level Agreement (SLA) timeframe. Participates in live service operations, and supports telemetry data integration for system behavior insights, with a focus on performance, reliability, and safety.  Develops and applies best practices for reliable code building, understands global and local regulations, customer scaling requirements, and support communication with key partners across Microsoft for user experience enhancement and partner needs.  Ensures compliance with security, privacy, safety, and accessibility standards, leverages developer tools for code creation and debugging, contributes to automation in production and deployment, and proactively seeks knowledge to improve product availability, reliability, efficiency, and performance at scale.  Understands and applies Microsoft’s responsible AI practices to ensure systems meet our commitments to our customers. QualificationsRequired Qualifications Bachelor's Degree (or currently pursuing a degree) in Computer Science or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. Preferred Qualifications Bachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. OR Master's Degree (or currently pursuing a degree) in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.  Demonstrated interest in AI/ML technologies. Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $81,900 - $160,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $105,600 - $174,600 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay.Microsoft will accept applications and process offers for these roles on an ongoing basis.Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.",Entry level,"Software Engineer - AI/ML, Multiple Locations"
+207,2025-03-26,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionThe CreativeX RAPID(Real-time Ad Personalization & Insights Development) team is seeking passionate and talented MLE to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods.Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences.Key job responsibilities Quickly acquire knowledge of nouvelle technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain. Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems. Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models. Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2931274",Not Applicable,"Machine Learning Engineer, CreativeX"
+208,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+209,2024-12-21,London,,PhysicsX,https://www.physicsx.ai/,"PhysicsX is a deeptech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. 
+
+We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
+ 
+We are currently recruiting for multiple positions, however, please only apply for the role that best aligns with your skillset and career goals.","PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering.Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, andincreasing the performance of wind turbines.We are a rapidly growing company but prefer to fly under the radar to protect our customers’ confidentiality. We are about to take the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning engineer to join our team. If all of this sounds exciting to you, we would love to talk (even if you don't tick all the boxes).Note: We do not provide visa sponsorship in the US. Please only apply if you have the right to work in the US.What You Will DoWork closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solvingDesign, build and test data pipelines for machine learning that are reliable, scalable and easily deployableExplore and manipulate 3D point cloud & mesh dataOwn the delivery of technical workstreams Create analytics environments and resources in the cloud or on premise, spanning data engineering and science Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoptionWhat You Bring To The TableExperience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings. Experience in ML/Computational Statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouragedA track record of scoping and delivering projects in a customer facing roleSoftware engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly Excellent collaboration and communication skills - with teams and customers alike A background in Physics, Engineering, or equivalentWhat We OfferBe part of something larger: Make an impact and meaningfully shape an early-stage company. Work on some of the most exciting and important topics there are. Do something you can be proud of Work with a fun group of colleagues that support you, challenge you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields and solve truly challenging problems in science and engineering. If you are similarly capable, caring and driven, you'll find yourself at home here Experience a truly flat hierarchy. Voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Work sustainably, striking the right balance between work and personal life. Receive a competitive compensation and equity package, in addition to plenty of perksWe value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.Final salary will be based on experience.",Not Applicable,Machine Learning Engineer
+210,2025-03-28,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Machine Learning Engineer (MLE), Artificial IntelligenceJoin us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.ResponsibilitiesThe responsibilities of this role includeDevelopment of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services. Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.RequirementsKnowledge, Skills, and AbilitiesBachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with model deployment and serving into production environmentsKnowledge of version control systems, especially Git.Knowledge of CI/CD principles and tools.Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.Experience with MLOps platforms such as MLflow or Kubeflow.Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.Problem-solving skills and the ability to troubleshoot complex issues.Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI (FULLY REMOTE, USA)"
+211,2025-03-27,San Mateo,CA,Upstart,http://www.upstart.com/about,"Upstart (NASDAQ: UPST) is the leading AI lending marketplace, connecting millions of consumers to more than 100 banks and credit unions that leverage Upstart’s AI models and cloud applications to deliver superior credit products. With Upstart AI, lenders can approve more borrowers at lower rates across races, ages, and genders, while delivering the exceptional digital-first experience customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload. Founded in 2012, Upstart’s platform includes personal loans, automotive retail and refinance loans, home equity lines of credit, and small-dollar “relief” loans. Upstart is based in San Mateo, California, and also has offices in Columbus, Ohio, and Austin, Texas.
+
+All mortgage lending conducted by Upstart Mortgage, LLC NMLS No. 2443873. Equal Housing Opportunity.","About UpstartUpstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload.Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas.Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!The Team: Upstart’s Machine Learning, Personal Loan Underwriting  team is focused on leveraging machine learning to power Upstart’s underwriting models. This team is responsible for building the underwriting model which determines credit decisioning at Upstart. This model plays a central role in Upstart’s overall performance as a company and includes numerous challenging problems to solve.As a Machine Learning Engineer, PL UW  at Upstart, you will collaborate with our Research Scientists, Data Scientists, and other engineering departments. Your work will impact the team in a number of ways:You will increase ML productivity through better software and infrastructure; and improve how we research, train, deploy, serve and monitor our models. You will reduce the time it takes to go from idea to production, and enable us to test out new ideas. This will all manifest in us delivering on our critical mission of enabling access to credit more effectively.You will design and implement code and algorithms to help improve our model’s predictive powerHow You’ll Make An ImpactBuild repeatable workflows and automation that enables scientists to spend more time on high leverage tasks (methodology, writing, analysis) and less on keeping the lights on or getting things to runDiscover and develop a short and long-term roadmap of engineering improvements on the PL UW teamExplore new algorithms and methodologies for our machine learning modelsInterface cross-functionally with other engineering teams (data engineering, machine learning platform, pricing, and growth software engineering), to provide feedback and requirements, so that we can build high-quality systems end-to-endQualificationsEducation and ExperiencePhd in a quantitative field with 0+ years of relevant experienceMasters in a quantitative field with 2+years of relevant experienceBachelors in a quantitative field with 4+years of relevant experienceExperience in PythonExperience with Machine LearningPosition location This role is available in the following locations: RemoteTravel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.What you'll love: Competitive Compensation (base + bonus & equity)Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savingsEmployee Stock Purchase Plan (ESPP)Life and disability insuranceGenerous holiday, vacation, sick and safety leave Supportive parental, family care, and military leave programsAnnual wellness, technology & ergonomic reimbursement programsSocial activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteeringCatered lunches + snacks & drinks when working in officesAt Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).United States | Remote - Anticipated Base Salary Range$123,200—$170,500 USDUpstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together.If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.comhttps://www.upstart.com/candidate_privacy_policy",Associate,Machine Learning Engineer
+212,2025-03-27,San Francisco,California,Sensor Tower,https://www.sensortower.com,"Sensor Tower is the leading source of mobile app, digital advertising, retail media, and audience insights for the largest brands and app publishers across the globe. 
+
+With a mission to measure the world’s digital economy, Sensor Tower’s award-winning platform delivers unmatched visibility into the mobile app and digital ecosystem, empowering organizations to stay ahead of changing market dynamics and make informed, strategic decisions. 
+
+Founded in 2013, Sensor Tower’s mobile app insights have helped marketers, app, and game developers demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Audience, Retail Media, and Digital Advertising Insights (formerly Pathmatics), helping brands and advertisers understand their competitor’s advertising strategies and audiences across web, social, and mobile. ","About this role:We are seeking an outstanding Machine Learning Engineer interested in working in the hot space of mobile and digital analytics to join the Data Science organization at Sensor Tower. Sensor Tower is the gold standard for the mobile app market and first party data, leveraging a variety of data sources, machine learning algorithms, artificial intelligence, data science methodologies, and software engineering to create market estimates, market insights, and other KPI’s for mobile apps and publishers and beyond. We need self-driven and motivated performers who can take full ownership of the products they work on to join our stellar team. Salary: $120,000 - 150,000What you will focus on:Working with stakeholders to gather requirements, refine product concepts, and implement the data modeling and algorithm development needed to turn them into reality.Supporting advanced customer requests.Helping create, customize, and optimize model, metrics, and implementation pipelines.Writing tests for implementation of machine learning models.Developing the heart of Sensor Tower’s products, current and future.Creating and customizing Sensor Tower models and metrics.Identifying relationships within large and seemingly unrelated data.Analyzing public data that could be used to complement current and future projects.Understanding the entire Sensor Tower system from a data point of view.Working with other Machine Learning Engineers, Data Scientists, Data Analysts, and Software Engineers to deliver high quality data products.Identifying performance bottlenecks and providing optimization solutions.Creating quality indicators and diagnostics tools.Communicating well and clearly with teams and team members across multiple time zones, countries, and job functions.Helping establish cross-functional interactions to increase efficiency of successful deliverables.What we are looking for:A passion for everything to do with data and already have top-level experience working in data modeling and quantitative analysis.4+ years experience performing business intelligence, data modeling, machine learning algorithm development, or quantitative analysis.An ability to solve challenging problems and provide innovative practical solutions quickly and efficiently.Excellent data science and machine learning engineering skills, including a working knowledge of statistics packages and languages (eg. Python or R, Jupyter, SQL), knowledge of common statistical modeling techniques, and the ability to critically analyze data with probing questions and individual research.Experience with data visualization and dashboard tools is a plus, such as Tableau Software.Strong presentation skills. Comfortable explaining data solutions in a business context to multiple stakeholders, e.g. product managers, senior management, etc.Flexible mindset and the ability to prototype and change direction rapidly as research evolves.A strong drive to continue learning and developing.Nice to haves:3+ years work experience performing business intelligence, data modeling, machine learning algorithm development, quantitative analysis for Internet or technology companies. (Experience in financial or medical industries can also be helpful).MS (PhD preferred) in Statistics, Applied Mathematics, Computer Science, Econometrics, Computational Biology or related field.A passion for digital content and mobile apps.Experience with software engineering and writing production-level code.Experience working with mobile market intelligence data.Experience with big data frameworks using Spark.About Sensor TowerSensor Tower cultivates responsibly sourced market intelligence that provides visibility into the trends shaping the global digital economy. Our customers use these insights to help them make better business decisions.Why Sensor Tower?Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Our benefits for full-time positions include:- Flexible time off so employees can shape their time away from work.- Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.- Monthly internet stipend and a one-time $500 home office stipend.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.Fraud warning:It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.To all recruitment agencies:Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.",Associate,Machine Learning Engineer
+213,2025-04-05,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Waymo ML Infrastructure team accelerates Waymo's mission by building the best ecosystem for sustainably innovating and shipping ML-powered intelligence. Our primary stakeholders are Research, Production, and Hardware teams, powering state-of-the-art models in Perception and Planning, core to our autonomous driving software. We provide best-in-class solutions for the entire model development lifecycle, collaborating closely with Google. Developer productivity, scale, and efficiency are core tenets. This role is a limited duration, at-will role to support projects across on the ML Infrastructure team, expected to take approximately 2 years.You WillReport into an Engineering ManagerWork on an exciting roadmap to deliver new Waymo productsBe a core contributor across to Waymo's ML Infra stack, building tooling and systems across the ML development ecosystem, such as data mining, data labeling, data management, ML evaluation, ML resources management, with the ultimate goal of enabling a smoother development experience and faster iteration speedYou HaveBS in Computer Science, Robotics, a similar technical field of study, or equivalent practical experienceHigh customer focus and attention to detailProficiency in C++, Python, or TypeScriptWe Prefer2 years of professional experience on infrastructure projectsBe customer-centric, and be willing to go above & beyond to solve user problemsPassionate about building internal infrastructure or toolingsThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.This position may also be eligible to participate in Waymo’s equity incentive plan and generous Company benefits program, if applicable.Salary Range$136,000—$173,000 USD",Entry level,"Software Engineer, ML Infrastructure, Limited Duration"
+214,2025-04-07,San Diego,CA,Qualcomm,https://www.qualcomm.com/,Delivering intelligent computing everywhere.,"CompanyQualcomm Technologies, Inc.Job AreaEngineering Group, Engineering Group > Modem Technologies SoftwareGeneral SummaryWe are seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team.The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems.Key ResponsibilitiesDesign and implement RAG-based solutions to enhance LLM capabilities with external knowledge sourcesDevelop and optimize LLM fine-tuning strategies for specific use cases and domain adaptationCreate robust evaluation frameworks for measuring and improving model performanceBuild and maintain agentic workflows for autonomous AI systemsCollaborate with cross-functional teams to identify opportunities and implement AI solutionsMinimum Qualifications Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.Required QualificationsBachelor's or Master's degree in Computer Science, or related technical field3+ years of experience in Machine Learning/AI engineeringStrong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)Practical experience with LLM deployments and fine-tuningExperience with vector databases and embedding modelsFamiliarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)Strong understanding of RAG architectures and implementationPreferred QualificationsExperience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)Knowledge of prompt engineering and chain-of-thought techniquesExperience with containerization and microservices architectureBackground in Reinforcement LearningContributions to open-source AI projectsExperience with ML ops and model deployment pipelinesSkills And CompetenciesStrong problem-solving and analytical skillsExcellent communication and collaboration abilitiesExperience with agile development methodologiesAbility to balance multiple projects and prioritiesStrong focus on code quality and best practicesUnderstanding of AI ethics and responsible AI developmentQualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.Pay Range And Other Compensation & Benefits$104,000.00 - $156,000.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.If you would like more information about this role, please contact Qualcomm Careers.3072645",Not Applicable,Machine Learning Engineer - Generative AI
+215,2025-03-14,Palo Alto,California,LVIS,https://www.lviscorp.com,"LVIS is a leader in cutting edge neural information analysis technologies that can decode brain networks and find cures for neurological diseases. LVIS owns patented technologies and our team includes leaders with strong expertise in neuroscience and engineering from Stanford University. LVIS has been selected to be a member of the Stanford StartX community and the NVIDIA inception program. We have an international team with our headquarter located in Palo Alto, California, USA and we have an office in Gangnam, Seoul, South Korea.","Company DescriptionLVIS, through our advanced brain network analysis tools, provides Live Visualization to innovate how neurological diseases are diagnosed and treated. LVIS is a leader in cutting edge neural information analysis technologies that can decode brain networks and find cures for neurological diseases. LVIS owns patented technologies and our team includes leaders with strong expertise in neuroscience and engineering from Stanford University. LVIS has been selected to be a member of the Stanford StartX community and the NVIDIA inception program. We have an international team with our headquarter located in Palo Alto, California, USA and we have an office in Gangnam, Seoul, South Korea. We are looking for talented individuals to join us in transforming the neurology health care industry.LVIS provides an environment where everyone is expected to grow with the company. We are looking for self motivated team members who will be at the leading edge of technology.ResponsibilitiesDevelop and maintain APIs: Deploy machine learning models as APIs and build scalable API servicesOptimize machine learning workloads on the cloud: Improve performance and cost-efficiency of ML models on AWSEnsure operational stability: Design and implement real-time data processing, logging, monitoring, and model performance tracking systemsDeploy ML models in real-world environments: Ensure reliable deployment and management of ML models and data drift in productionUtilize GPU and GPU clusters: Configure and optimize GPU-based environments for model training and inference (on Cloud and on-premise)Build MLOps pipelines on AWS and Kubernetes: Deploy and manage containerized ML workflows in Kubernetes environmentsBasic QualificationsBachelor's degree or higher in Computer Science, Data Science, AI, or related fields3+ years of experience in MLOps or ML EngineeringExperience of ML related programming languages and frameworks (Python, PyTorch, TensorFlow, etc.)Experience deploying and managing ML models using tools like MLflow, TensorFlow Serving, or TorchServeHands-on experience with AWSProficiency in managing and orchestrating containers using Kubernetes and DockerExperience with GPU-based model training and optimizationExperience building large-scale data processing pipelines (Airflow, Kafka, etc.)Preferred QualificationsHands-on experience with CI/CD pipelines (Jenkins, ArgoCD, etc.)Experience in large-scale AI model servingKnowledge of real-time data streaming and batch processingPreferably DevOps experience along with MLOps",Entry level,Machine Learning Operations (MLOps) Engineer
+216,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+217,2025-03-30,New York,NY,S&P Global,http://www.spglobal.com,"S&P Global provides governments, businesses, and individuals with market data, expertise, and technology solutions for confident decision-making. Our services span from global energy solutions to sustainable finance solutions. From helping our customers perform investment analysis to guiding them through sustainability and energy transition across supply chains, our solutions help unlock new opportunities and solve challenges.
+ 
+We are widely sought after by many of the world’s leading organizations to provide credit ratings, competitive benchmarking and data driven analytics in global capital markets, commodity, and automotive markets. Our divisions include S&P Global Market Intelligence, S&P Global Ratings, S&P Global Commodity Insights, S&P Global Mobility, S&P Dow Jones Indices, and the renowned S&P 500 index. Additionally, our S&P Global Sustainable1 brings sustainability benchmarking, analytics, and evaluations together, to help customers achieve their sustainability goals.
+ 
+See the latest research & insights at www.spglobal.com","Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and more.Kensho is looking for ML Engineer interns to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Extract. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production.Are you looking to leverage your teammates' diverse perspectives to solve hard problems? If so, we would love to help you excel here at Kensho. You will be working on a team with experienced engineers and have an opportunity to learn and grow. We take pride in our team-based, tightly-knit startup Kenshin community that provides our employees with a collaborative, communicative environment that allows us to tackle the biggest challenges in data. In addition, as an intern you will have the opportunity to attend technical and non-technical discussions as well as company wide social events.We value in-person collaboration, therefore interns are required to work out of the Cambridge HQ or our New York City office!Technologies & Tools We UseAgentic systems: Agentic Orchestration, Information Retrieval, LLM code generation, LLM tool utilization, Multi-modal Embeddings, Multi-turn Conversationality, Textual RAG systemsCore ML/AI: DGL, GNNs, HuggingFace, LightGBM, NVIDIA NeMo, PyTorch, SKLearn, Transformers, XGBoostData Exploration and Visualization: Jupyter, Matplotlib, Pandas, Weights & BiasesData Management and Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, Qdrant, S3, SQLiteDeployment & MLOps: Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, Kubernetes, Ray, vLLM, WhyLabsWhat You’ll DoAssist in conducting original work on large proprietary unstructured data and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value.Design, build, and maintain scalable production-ready ML systemsParticipate in the ML model lifecycle, from problem framing to training, deployment, and monitoring in productionPartner with our ML Operations team to deliver solutions for automating the ML model lifecycle, from technical design to implementationWork in a cross-functional team of ML Engineers, Product Managers, Designers, Backend & Frontend Engineers who are passionate about delivering exceptional productsWhat We Look ForOutstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine LearningExperience with advanced machine learning methodsStatistical knowledge, intuition, and experience modeling real dataExpertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)Demonstrated effective coding, documentation, and communication habitsStrong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.Job ID: 307256Posted On: 2024-12-20Location: Cambridge, Massachusetts, United States",Not Applicable,Machine Learning Engineer - Summer Intern 2025
+218,2025-03-20,Santa Clara,CA,Tiger Analytics,http://www.tigeranalytics.com,"In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. 
+
+Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. 
+
+If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.","Tiger Analytics is looking for experienced Machine Learning Engineers with LLM / NLP expertise to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:RequirementsHighly Skilled in Python and familiarity with libraries and frameworks TensorFlow, PyTorch, Hugging Face Transformers, etcProven experience designing, develop, and implement machine learning models with a focus on NLP and LLM applications. Extensive experience with NLP techniques and tools such as tokenization, named entity recognition, sentiment analysis, etcExperience with performing data preprocessing, feature engineering, and model training on large datasetsExperience with Fine-tune and optimizing LLMs such as GPT, BERT, or similar architectures for specific use casesHands-on experience with LLMs like GPT, Llama, BERT or similar modelsExperience building & supporting AWS architecture and using AWS services. At least 5 to 6 years of total experience and a minimum of 2 to 3 years of experience with the above skillsFamiliarity with Agile Development principlesExperience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithmsExperience with software engineering tools, such as Eclipse, Git, and othersAble to write clean, maintainable code, and read code created by othersHighly collaborative, fast learner, willing to jump in and help wherever neededEnthusiasm for learning and experimenting with new technologies, tools, and processesBenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.",Mid-Senior level,Machine Learning Engineer (LLM / NLP)
+219,2025-04-05,Incline Village,Nevada,Socure,https://www.socure.com,"Socure is the leading platform for digital identity verification and trust. Its predictive analytics platform applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet to verify identities in real time. The company has more than 2,000 customers across the financial services, government, gaming, healthcare, telecom, and e-commerce industries, including four of the top five banks, seven of the top 10 card issuers, three of the top MSBs, the top payroll provider, the top credit bureau, the top online gaming operator, the top Buy Now, Pay Later (BNPL) providers, and over 250 of the largest fintechs. Marquee customers include Chime, SoFi, Varo, Robinhood, Public, Stash, Gusto, and DraftKings. Socure customers have become investors in the company including Citi Ventures, Capital One Ventures, MVB Bank, and Synchrony. Additional investors include Accel, T. Rowe Price, Bain Capital Ventures, Tiger Global, Commerce Ventures, Scale Venture Partners, Sorenson, Flint Capital, Two Sigma Ventures, and others.
+
+Socure has received numerous industry awards and accolades, including named to the 2021 & 2022 Forbes Cloud 100 List, Forbes’ Fintech 50 List 2021, and Forbes’ America’s Best Startup Employers 2021, being named to CB Insights: The Fintech 250 for the third year in a row, being awarded Best New Technology Introduced Over the Last 12 Months—Data and Data Services at the 2020 American Financial Technology Awards (AFTAs), being ranked number 70 in Deloitte’s Technology Fast 500™, being listed as a Gartner Cool Vendor, being recognized by Forbes as one of the Top 25 Machine Learning Startups to Watch, being awarded Finovate’s Award for Best Use of AI/ML, to name a few. Founder/CEO Johnny Ayers has also been recognized by Goldman Sachs as one of the 100 Most Intriguing Entrepreneurs of 2021 and as an EY Entrepreneur of the Year 2022.","Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies.Listen To Why Some Of The World’s Top Technology Investors See The Enormous, Transformative Potential In Socure’s Mission And Productshttps://www.youtube.com/watch?v=ifM9_jPQCv8OverviewWe are looking for highly motivated and talented Associate Machine learning Engineers to join our growing AI Platform team. This role is ideal for recent graduates from top universities who have demonstrated strong academic performance and hands-on experience with machine learning projects. You will have the opportunity to work on cutting-edge ML infrastructure, model development, and deployment at scale, collaborating with a dynamic team of engineers and data scientists.If you have a strong foundation in machine learning, software engineering, and AI, and are eager to contribute to real-world applications, we encourage you to apply.Role And ResponsibilitiesDevelop and optimize feature engineering strategies to support ML models.Build and maintain scalable ML systems for model training, inference, and deployment.Design and implement end-to-end ML pipelines, including data preprocessing, model training, and evaluation.Collaborate with data scientists, software engineers, and product teams to enhance ML capabilities.Implement best practices in version control, MLOps, and model reproducibility.Work with cloud-based infrastructure to deploy and manage ML models efficiently.Leverage workflow orchestration tools like Apache Airflow and AWS Step Functions to automate and manage ML pipelines.Contribute to research and development efforts to enhance our AI capabilities.Required QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field from a top university.Strong academic record with a high GPA and/or with strong fundamentals in computer science and AI.1-2 years of industry or coop/internship experienceSolid programming skills in PythonExposure/experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Familiarity with cloud platforms such as AWS(preferred), GCP, or AzureUnderstanding of MLOps practices, version control (Git), and model deployment techniques.Exposure/experience with workflow orchestration tools like Apache Airflow or AWS Step Functions for ML pipeline automation.Strong fundamentals in data structures, algorithms, and distributed computing principles.Exposure/experience with database technologies (SQL, NoSQL, or data warehouses like Snowflake or Redshift).Strong analytical and problem-solving skills, with a passion for AI and machine learning.Preferred QualificationsExposure/experience with feature engineering and feature stores.Exposure/experience with big data technologies (Apache Spark, Kafka).Exposure/experience with CI/CD pipelines for ML applications.Exposure/experience with model monitoring and observability tools Exposure/experience with Generative AI (GenAI) techniques, including LLM fine-tuning, prompt engineering, and model deploymentStrong communication skills and ability to work in a collaborative environment.A strong sense of continuous learning mindset and humility with a willingness to seek feedback and improveSalary Disclosure:Base Salary range: $115,000 - $135,000This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job related factors. Socure's compensation and rewards package for full time roles includes a market competitive salary, equity, comprehensive benefits, and, for applicable roles, commissions plans or an annual discretionary performance bonus. Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.We empower excellence by providing great perks and benefits to both our fully remote employees in North America and our hybrid teams in India.To learn more, check out Socure’s Career Page: https://www.socure.com/company/careersSocure is an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.To learn more about how our work is changing the world, check out these articles and videos:Socure is Forbes' 2022 Best Startup Employer: https://bit.ly/3fbNw8SSocure Accelerates Onboarding for 50+ Crypto, Neobanks, and More: https://bit.ly/3dwN2K7Socure's Impact on Financial Inclusion: https://www.youtube.com/watch?v=Y6nBc6s1wsUSocure's Impact on Fraud Prevention: https://www.youtube.com/watch?v=M46UG8QyKe4Archives & Press Releases: https://learn.socure.com/about/press-releasePlease note that we do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Services Agreement, we will not consider, or agree to, payment of any referral compensation or recruiter fee. In the event that a recruiter or agency submits a resume or candidate without a previously signed agreement, we explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.",Internship,Associate Machine Learning Engineer
+220,2025-04-09,Oakland,California,Pacific Gas and Electric Company,http://www.pge.com,"Pacific Gas and Electric Company, incorporated in California in 1905, is one of the largest combination natural gas and electric utilities in the United States. Based in San Francisco, the company is a subsidiary of PG&E Corporation.
+
+There are approximately 20,000 employees who carry out Pacific Gas and Electric Company's primary business—the transmission and delivery of energy. The company provides natural gas and electric service to approximately 15 million people throughout a 70,000-square-mile service area in northern and central California.
+
+Fast Facts
+
+* Service area stretches from Eureka in the north to Bakersfield in the south, and from the Pacific Ocean in the west to the Sierra Nevada in the east
+
+* 141,215 circuit miles of electric distribution lines and 18,616 circuit miles of interconnected transmission lines
+
+* 42,141  miles of natural gas distribution pipelines and 6,438 miles of transportation pipelines
+
+* 5.1 million electric customer accounts
+
+* 4.3 million natural gas customer accounts","Requisition ID # 164712Job Category: Accounting / FinanceJob Level: Individual ContributorBusiness Unit: Electric EngineeringWork Type: HybridJob Location: OaklandDepartment OverviewThe System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E’s Electric Reliability Strategy and initiatives. This team of forward–thinking individuals will be tasked with deploying technology and infrastructure and influencing the organization to achieve the company’s reliability goals. The team is responsible for implementing programs required to modernize the electric grid allowing for safe, resilient and efficient operations. The team participates in a cross functional team of internal and consulting participants being tasked with leading the transition of a project from development and testing to being operational for each phase of each project.This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory.PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.Bay Minimum: $102,000Bay Maximum: $162,000&/ORCA Minimum: $97,000CA Maximum: $154,000This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.Position SummaryWithin the System Performance, Reliability and Resiliency Strategy team, this position reports to the Sr Manage, Predictive Analytics and is responsible for developing industry leading anomaly detection models that will identify pending failures of the electric transmission and distribution grid. In this role the successful candidate will be uniquely positioned at the forefront of utility industry analytics. Working as part of cross functional teams, including data engineers, data scientists, technologist, and subject matter experts – this individual will lead the development of data science capabilities that could lead to paradigm changes in how the utility operates.Job ResponsibilitiesSupports the research and application of knowledge of existing and emerging data science principles, theories, and techniques to inform business decisionsSupports the creation of data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data setsExtracts, transforms, and loads data from dissimilar sources from across PG&E for their machine learning feature engineering.Supports the application of data science/ machine learning//artificial intelligence methods to develop defensible and reproducible predictive or optimization models, Supports the development of mathematical models and AI simulations that represent complex business problemsWrites and documents python code for data science (feature engineering and machine learning modeling) under senior data scientist guidance.Communicates technical information clearly to business. Contributes to the development of summary presentationsSupports peer review exercises QualificationsMinimum:Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.2 years in data science OR no experience, if possess Master’s Degree, as described aboveDesired:Master’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experienceFamiliarity with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them). Knowledge of software engineering, statistics, and machine learning techniques as they apply to data science modeling and deployment.Knowledge of commonly used data science and/or operations research programming languages, packages, and toolsHands-on experience of data science/machine learning models and algorithmsAbility to clearly communicate complex technical details and insights to colleagues and stakeholders.Knowledge of the mathematical and statistical fields that underpin data scienceKnowledgeable of best practices in software engineering, statistics, and machine learning techniques for data science.Knowledge of systems thinking and structuring complex problemsAbility to collaborate and/or work on a team",Entry level,Data Scientist
+221,2025-03-29,Mooresville,NC,"Lowe's Companies, Inc.",https://talent.lowes.com,"Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 20 million customers a week in the United States. Lowe’s and its related businesses operate or service more than 2,200 home improvement and hardware stores and employ over 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. For more information, visit Lowes.com.
+","Your ImpactThe primary purpose of the Data Scientist is to provide analytical capabilities to support data science initiatives. This position solves complex problems with close supervision and direction of senior colleagues and is responsible for the data science support of various company initiatives. Finally, this position supports the development of automated self-service products and solutions for business partners to effectivelyinterpret data and build data products.What You Will Do Mines and extracts data and applies statistics, machine learning, and deep learning algorithms necessary to derive insights and to develop solutions providing a competitive advantage to the business.  Conducts deep statistical analysis, including predictive and prescriptive modeling, to provide a competitive advantage to the business.  Works with more senior level scientists on the team to translate requirements into an analytical approach; asks the right questions to understand the problem.  Contributes to or builds the solution to solve a business problem; helps identify the sources, methods, parameters, and procedures to be used; may also communicate with stakeholders on project scope and timelines.  Gathers and assimilates data according to the project plan; works with the team to discuss analysis and findings.  Prepares final recommendations, ensuring solutions are scalable and implementable in the business.  Executes plan for measuring impact based on discussions with partners and senior team members.  Executes projects with full adherence to enterprise product and project management practices by participating in formal and informal training.  Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies and applies it to projects. Required Qualifications: 2 years of experience executing and deploying data science, machine learning, deep learning, and generative AI solutions, preferably in a large-scale enterprise setting (fewer years may be accepted with a master’s or doctorate degree) 1 year of SQL and programming experience (fewer years may be accepted with a master's or doctorate degree) Bachelor's degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic field (or equivalent work experience in lieu of degree)Preferred Qualifications: 1 year of experience using multiple data systems and sources 1 year of experience working with cross-functional partners Master's degree in mathematics, statistics, physics, economics, engineering, computer science, data, information science, or related quantitative analytic fieldAbout Lowe’sLowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.Pay Range: $75,300.00 - $143,100.00 annually Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.",Entry level,Data Scientist
+222,2024-11-27,San Francisco,,Nudge,nudge.com,"Helping the brain work better with focused ultrasound.
+
+Treating neurological disorders today and enhancing human experience tomorrow.","About NudgeNudge’s goal is to help the brain work better by creating a generalized product that can precisely stimulate and image the brain, entirely non-invasively. We aim to achieve this by developing cutting-edge ultrasound technology to treat neurological and psychiatric disorders, like addiction, and eventually, creating a mainstream consumer device that can modulate mood, focus, sleep, and more.To realize those ambitions, we’re growing a scrappy, multidisciplinary, science and engineering team focused on making the best technology possible for interfacing with the whole brain, and a product that has the potential to improve people’s daily lives more than any other.About The TeamThe engineering team at Nudge works at the intersection of neuroscience, software, machine learning, firmware, electrical engineering, mechanical engineering, and acoustics. Our team includes engineers who have led development of the surgical robot at Neuralink, built augmented-reality hardware at Apple, and designed parts on SpaceX Starlink satellites. We are scrappy, hands-on, and welcome exceptional individuals who are passionate about their craft and energized by working on impactful, technical challenges.About The RoleArchitect models that reconstruct detailed mental states from MRI and ultrasoundDevelop techniques for accurate and performant structural and functional imagingInnovate methods to cleverly accelerate acoustic physics simulation, off-prem and on-deviceAbout You3+ years of experienceCompensation Range$140,000 - $290,000/year + equityWhile this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range.",Mid-Senior level,"Software Engineer, Machine Learning"
+223,2025-04-03,Boston,MA,CodaMetrix,http://www.codametrix.com,"CodaMetrix's cutting-edge, multi-specialty autonomous medical coding platform leverages AI to continuously learn from and act upon the clinical evidence in the EHR. We autonomously translate clinical notes into billing codes that satisfy coding requirements, ensuring claims consistently represent the unique and complete episode of care, reducing human coding workload, while improving the efficiency and optimizing the quality of medical coding.","CodaMetrix is revolutionizing Revenue Cycle Management with its AI-powered autonomous coding solution, a multi-specialty AI-platform that translates clinical information into accurate sets of medical codes. CodaMetrix’s autonomous coding supports improved patient care and drives efficiency under fee-for-service and value-based care models. We are passionate about getting doctors away from the keyboard and back to clinical care.Position OverviewWe are seeking a self-motivated and experienced Machine Learning Engineering Intern to join our team. This role is ideal for someone pursuing or holding a Master’s in Data Science, Computer Science, or a related field — with prior professional experience in Software Engineering or Machine Learning Engineering or Data Engineering.You’ll work closely with Machine Learning engineers, data scientists and application engineers to accelerate experimentation, translate research prototypes into production, and reduce technical debt. You should be able to operate independently, drive progress with minimal oversight, and deliver high-quality contributions in a fast-moving environment.Our team primarily works on Databricks (Spark/Delta Lake) and AWS infrastructure to build scalable and production-grade ML pipelines. This role requires strong cross-functional collaboration, including integrating ML models with data science workflows and application layer services to ensure smooth and reliable end-to-end user experiences.Responsibilities:Partner with researchers to build, evaluate, and productionize Machine Learning artifactsHelp clean up or refactor legacy systems and pipelines to improve maintainability, performance, and cost efficiencyContribute to the development of robust, end-to-end ML workflows on Databricks, including feature engineering, model training, evaluation, and deploymentDesign and maintain scalable data pipelines using Spark and Delta Live TablesSupport monitoring, alerting, and CI/CD workflows for ML systemsWork with AWS services (e.g., S3, Lambda, ECS, Sagemaker, etc.) as needed to integrate ML capabilities into broader systemsCollaborate across engineering, data, and product teams to iterate on prototypes and deliver results in productionPreferred Qualifications:Pursuing or completed Master’s degree in Data Science, Computer Science, or related field2+ years of relevant industry experience in ML engineering, software engineering, or data engineeringProficiency in Python and common ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, spary-nlp)Working knowledge of Spark or distributed compute frameworksHands-on experience with distributed computing, ML experimentation, and pipeline managementStrong communication skills and ability to work independentlyBeneficial Experience:Previous exposure to healthcare data, medical terminology, or regulatory frameworks (e.g., HIPAA)Experience working with EHR data, clinical notes, or coding systems (ICD, SNOMED, CPT, etc.)Building ML models and integrating them into real-time or batch production systemsFamiliarity with ML Ops best practices (e.g., model serving, MLflow)Strong focus on code quality, testing, and long-term maintainabilityFamiliarity with Databricks and AWS services and DevOps tooling (Terraform, Docker, etc.)What CodaMetrix can offer you:Our Internship and Co-op Program is a paid, full-time program for students of all years. From undergrad through PhD programs, we are devoted to helping students grow and develop their skillset in the healthcare-technology space.We want CodaMetrix to be a place where you feel welcomed, challenged, and invigorated. We offer high impact-projects, mentorship, and networking activities to all of our interns and co-ops, such as:Full exposure to the CodaMetrix experience including working with a dedicated team, and attending company-wide meetings and eventsAn assigned reporting manager for impactful professional development and feedbackSelf-driven projects specific to your focus areaProfessional development tips and workshops focused on networking, resume review, and moreMentorship opportunities designed to support your career growth and development during and after your internship/Co-opSocial events to get acquainted and network with other company employees of all levels (entry level through executive)Cohort-specific gatherings to further connect and get to know one anotherInternships will be 14 weeks and Co-ops will be 6 months in length.All Boston-based interns and Co-ops will be asked to be hybrid in our Boston, MA office (2-3 days per week). For those located outside of commuting distance, remote opportunities may still be available. Please apply if you are interested and we can consider your remote interest along with local candidates.Background Check NoticeAll candidates will be required to complete a background check upon acceptance of a job offer.Equal Employment OpportunityOur company, as well as our products, are made better because we embrace diverse skills, perspectives, and ideas. CodaMetrix is an Equal Employment Opportunity Employer and all qualified applicants will receive consideration for employment.Don’t meet every requirement? We invite you to apply anyway. Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At CodaMetrix we are committed to building a diverse, inclusive and authentic workplace and encourage you to consider joining us.Powered by JazzHR80Jd2Ca8F6",Internship,Machine Learning Engineer Intern - Master’s
+224,2024-11-06,Stanford,California,Flair Labs (YC W24),https://flairlabs.ai,"Modern AI for high growth real estate and lending. At Flair Labs, we are revolutionizing the mortgage and real estate industry with AI technology. Our mission is to empower real estate professionals to maximize engagement with clients, identify motivated buyers and sellers, and provide an elevated experience with clients.","Company DescriptionFlair Labs (YC S23) is an AI intelligence company based in Cupertino, CA, focused on revolutionizing the real estate. Their mission is to empower real estate professionals with AI solutions to enhance their interactions, identify motivated buyers and sellers, and maximize outreach. Additionally, Flair Labs analyzes and automates calls, supercharging lead generation.Role DescriptionThis is a full-time role for a Machine Learning Engineer at Flair Labs. The Machine Learning Engineer will be responsible for developing and implementing cutting-edge AI algorithms, neural networks, and statistical models for real estate applications. Additionally, the role involves pattern recognition, algorithm development, and continuous improvement of AI technologies.QualificationsStrong background in Computer Science, Neural Networks, and AlgorithmsProficiency in Pattern Recognition and StatisticsExperience with machine learning frameworks and librariesAbility to analyze and interpret complex data setsExcellent problem-solving skills and attention to detailEffective communication and team collaboration skillsMaster's or PhD in Computer Science, Data Science, or related field",Entry level,Machine Learning Engineer
+225,2025-04-05,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!Adobe Firefly’sGenerative AI Servicesteam is seekingSeniorMachine Learning Engineersfor our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers.Job ResponsibilitiesDesign and evelopmentof core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products. Design and buildML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaboratewith Adobe Research and other model developer teams with a focus on model inference strategies and productization of those modelBuild and optimizeGPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability. Foster a culture of innovation, technical excellence, and continuous improvement across the organization. What You’ll Need To SucceedMS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 5+ years of experience in machine learning, including production-scale deployments. 2+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization). Experience with GenAI frameworks and tools such asPyTorch, CUDA, Triton, TensorRT,Nvidia Dynamo, and Python. Good understanding of generative model architectures, includingdiffusion models, transformers, and GANs. Good communication and leadership skills, with a track record of driving alignment in matrixed organizations. Preferred QualificationsExperience withmodel serving, inference, orchestration, and GPU resource managementin large-scale environments. Hands-on expertise inKubernetes, distributed systems, and MLOps platforms. Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,"Machine Learning Engineer, Adobe Firefly Services"
+226,2025-03-24,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
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+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
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+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2935863",Not Applicable,"Machine Learning Engineer, AGIF | Finetuning"
+227,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Level 5"
+228,2025-03-18,,,Voltai,www.voltai.com,AI models for electronics,"About VoltaiVoltai’s mission is to re-build the physical world through developing super-intelligence to accelerate the pace of hardware innovation. Our focus is to build frontier models that could understand one of the world’s most complex technologies - semiconductor and electronics.About the RoleWe’re looking for a Machine Learning Research Engineer who thinks crazy ideas are normal, doesn’t take ‘No’ as an answer, and thrives on the bursts of dopamine that come with startup responsibilities.As a Machine Learning Research Engineer, your ultimate goal will be to build AI systems that deeply understand and innovate within the semiconductor and electronics domains, serving our customers 🙌.You will be responsible for training and fine-tuning large-scale models, including trillion-parameter neural networks, and designing systems that integrate various modalities. Your work will involve creating and optimizing both open-source and proprietary models, developing advanced search and retrieval algorithms, and building AI systems that solve complex reasoning tasks.Key Responsibilities:Train foundation models from scratch that integrate multiple modalities.Train and fine-tune large language models (LLMs) and multi-modal models (MMMs).Develop and scale trillion-parameter neural networks, along with smaller, specialized models.Design and implement models capable of solving discrete and continuous constraint reasoning tasks and graph-related challenges.Develop and evaluate interconnected systems comprising LLMs, NLP models, and retrieval algorithms.Structure and optimize data for model training, ensuring high performance and efficiency.Create data synthetically and collect it from human interactions for diverse tasks.Build and optimize both open-source and proprietary models, considering various constraints.Design and execute innovative search and retrieval algorithms.Work on building foundation models that drive various products within the electronics and semiconductor sectors.Required Skillsets:Strong software engineering skills, particularly in Pytorch, Python, CUDA, and Triton.Deep expertise in machine learning, including sequence modeling, generative models, and model architecture.Experience in pre-training and fine-tuning large multi-modal models.Proven track record of publications in top AI conferences and competitions.Experience implementing research papers into production code.Familiarity with the latest state-of-the-art techniques, including prompting and inference-time search methods.Experience in developing and managing large-scale machine learning systems.Proficiency in configuring and optimizing hardware and operating systems for maximum performance.Experience building distributed training systems for AI models in high-performance computing (HPC) clusters.Compensation PhilosophyAt Voltai, we believe that exceptional work deserves exceptional rewards. Our compensation structure is designed to reflect the value each team member brings to our pioneering efforts in the semiconductor and AI industries. For this role, we offer a highly competitive market-rate salary, tailored to the candidate's experience, expertise, and potential impact. Our approach ensures that compensation aligns with individual contributions and the long-term success of our mission.Our BenefitsAt Voltai, we believe in taking care of our team so they can focus on pushing the boundaries of innovation. Our benefits package is designed to support your well-being and fuel your professional growth.Unlimited PTO: We trust you to manage your time and know when you need a break. Recharge when you need it, no questions asked.Comprehensive Health Coverage: Your health matters. We offer top-tier medical and dental insurance to keep you and your loved ones covered.Commitment to Your Growth: At Voltai, we’re dedicated to your continuous learning and development. Whether it’s through challenging projects or opportunities for professional advancement, we invest in your journey to becoming a leader in your field.Visa Sponsorship: We support international talent and offer visa sponsorship to help you join our team, no matter where you are in the world.",Mid-Senior level,Machine Learning Research Engineer
+229,2025-03-26,San Francisco,California,EvenUp,https://www.evenuplaw.com,"EvenUp's vision is to help these injury victims get the justice they deserve, irrespective of their income, demographics, or legal representation.","EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.Why We Are Hiring a Machine Learning EngineerAt EvenUp, the Machine Learning Team is pivotal in leveling the playing field in legal disputes. We tackle challenging problems at the intersection of ML, information retrieval, and generative AI to create meaningful impact for plaintiffs and attorneys. As a Machine Learning Engineer, you will contribute to building scalable, innovative solutions in the domain of Document AI, working on complex legal data and leveraging cutting-edge techniques to deliver actionable insights and transformative results.This role provides a unique opportunity to work with a proprietary dataset, solve high-impact problems, and see your contributions lead to real-world justice.This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs.What You'll DoPioneer cutting-edge Document AI systems at the forefront of generative AI innovation, building next-generation models that go beyond traditional document processing to achieve human-level understanding of complex legal and medical documents, intelligently extract key entities and relationships, perform sophisticated multi-document reasoning, and generate contextually-aware documents that transform business workflows.Implement and advance technologies in:Information Extraction (using traditional ML, LLMs, and multi-modal LLMs for entity recognition, relationship extraction, and document structure understanding)Information Retrieval (query understanding, semantic search, hybrid retrieval architectures, and learning-to-rank models)Data Management (schema design, knowledge graphs, distributed data pipelines, and petabyte-scale processing)RAG (Retrieval-Augmented Generation) with advanced techniques like multi-hop reasoning, chain-of-thought prompting, and self-consistency checksPrompt Engineering (few-shot learning, instruction tuning, and context window optimization)LLM fine-tuning (parameter-efficient techniques like LoRA/QLoRA, instruction fine-tuning, and domain adaptation)Collaborate with domain experts (legal, healthcare, etc), product managers, and engineers to translate insights into robust machine learning systems.Create tools that empower internal teams and clients to make data-driven decisions.Mentor junior team members, promoting a culture of excellence and collaboration.What We Are Looking ForWe recognize the breadth of skills required and do not expect candidates to have experience in all areas. We seek talent with a strong foundation in machine learning, information retrieval, or data management, with particular interest in LLM and generative AI technologies.3+ years of experience in machine learning, data science, or similar technical roleStrong software engineering fundamentals and proficiency in PythonDemonstrated expertise in:Classical ML techniques (regression, classification, clustering)Deep learning frameworks (PyTorch, TensorFlow)Natural language processing and information extractionLarge language models and prompt engineeringRAG system design and implementationAdvanced RAG techniques (multi-hop reasoning, self-consistency)Vector databases and embedding techniquesModel evaluation and validation methodsExperience with:LLM fine-tuning (LoRA, QLoRA, instruction tuning)Knowledge graph construction and reasoningProduction ML system deploymentDistributed computing and data processingExcellent communication skills with ability to:Explain complex technical concepts clearlyCollaborate effectively with cross-functional teamsWrite clear technical documentationSound judgment in balancing technical tradeoffs with business needsWhy Join EvenUpBe part of a mission-driven company making a tangible impact in the lives of injury victims.Work at the cutting edge of Document AI, tackling challenging ML and data problems.Collaborate with a diverse team of experts from top tech, legal, and investment firms.Grow with a rapidly scaling company backed by world-class investors and thought leaders.If you’re passionate about solving meaningful problems, advancing ML technologies, and making a difference, we’d love to hear from you!Notice To CandidatesEvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com or @evenup.ai, or no-reply@ashbyhq.com email address.If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & PerksOur goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco, Los Angeles, and TorontoPlease note the above benefits & perks are for full-time employees About EvenUpEvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.",Entry level,Machine Learning Engineer
+230,2025-04-07,Plano,TX,Toyota North America,https://careers.toyota.com/us/en,"At Toyota, we’re known for making some of the highest quality vehicles on the road. But there is more to our story. We believe in putting people first and creating opportunities for our team members to build careers as unique as they are. As one of the world’s most admired brands, we are leading the way to the future of mobility, so everyone can move freely, happily and comfortably. We have big dreams and believe that nothing is impossible. 
+
+Ready to Dream, Do and Grow with us? Visit https://careers.toyota.com/us/en for information on career opportunities at Toyota.
+","Magnit Direct Sourcing on behalf of Toyota is currently hiring for a Machine Learning Engineer role for a temporary, onsite assignment in Plano, TX.This position is a 12-month assignment, with potential to extend. The pay range for this role is between $50.00 - $74.07/Hr. Benefits: Medical, Dental, Vision, 401K.Title: Machine Learning EngineerLocation: Plano, TX.Duration: 12 monthsDescriptionWhat we’re looking forWe are seeking a skilled Machine Learning Engineer to join our team and help transform and modernize critical data science models from legacy code and systems to modern cloud-based solutions using Python, AWS SageMaker, and Snowflake. We are looking for a candidate who excels in writing high-quality Python code that adheres to industry and internal coding standards and is proficient with our modern tech stack.In addition to development, a key focus of this role will be designing and implementing comprehensive testing strategies, including unit, integration, and end-to-end tests. Additional responsibilities will include helping to build, release, and maintain model pipelines and model APIs. This will involve working with our cloud tech stack, CI/CD pipelines, and containers, and collaborating with data scientists, machine learning engineers, DevOps, and InfoSec teams to deploy new projects and ensure the success of model releases and retraining activities.What You’ll Be DoingTransform legacy code into robust, high-quality Python code that complies with internal coding standards and includes comprehensive test coverageWork with the machine learning engineering team to develop and implement robust testing strategies, including unit, integration, and end-to-end testsBuild a maintain scalable machine learning pipelines on AWS cloud platforms using SageMaker and SnowflakeAssist in deploying machine learning models into production environments, ensuring scalability, reliability, and performanceMaintain and monitor existing pipelines and model APIs to ensure optimal functionalityWork closely with data scientists, machine learning engineers, DevOps and InfoSec teams to initiate and manage various releasesTranslate business requirements into technical solutions through effective communicationTranslate technical project details into clear documentation and intuitive diagrams that help integrate information flows with upstream and down stream teamsRequirementsYear of experience – 3 -5 Years of experience.Client is looking for someone with (Software Developer experience (60%)+ Data Science(40%) , AWS skills, (Python, SQL, SAS, Snowflake). If someone has prior SAS experience and can Transform the legacy codes from SAS to Python will be a great fit (Not Mandatory)Graduate degree in a quantitative discipline (or equivalent experience) or will be completed within three months.Proficiency in Python and SQL development.Experience with modern software development practices, including version control systems and infrastructure-as-code.At least one year of relevant work experience is requiredExperience in building and deploying machine learning models in cloud environments (AWS, Snowflake)DesiredHighest degree specifically in: Statistics, Mathematics, Physics, Engineering, Computer Science, Economics / Econometrics, Finance, Data Science, Machine Learning, AI, Financial Engineering, Computational Finance, Operational Research, Industrial Engineering. ""Active AWS Solutions Architect Associate certificationExperience with SAS (statistical analysis) programming languageExperience working with API frameworks (Flask, FastAPI) and Amazon SageMakerAbility to design and implement comprehensive testing strategies.Talented, dedicated people are an integral part of our mission to build the best workforce, working together to create the future of mobility and make the world a better place. We are always on the lookout for diverse, driven, and collaborative talent interested in performing contract work for Toyota.Click here to join our talent network and be the first in line when a new contingent job opportunity opens at Toyota through Magnit Direct Sourcing.Magnit is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.QUALIFICATION/LICENSUREWork Authorization : Green Card, US CitizenPreferred years of experience : 3 yearsTravel required : No travel requiredShift timings : 9 AM to 5 PM",Entry level,Machine Learning Engineer
+231,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $173,000-$259,000 annually.Zone B:The base salary range for this position is $164,000-$246,000 annually.Zone C:The base salary range for this position is $147,000-$220,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 4"
+232,2025-01-14,Birmingham,Alabama,ArcheHealth,www.archehealth.ai,,"We are passionate about leveraging cutting-edge technology and advanced analytics to drive growth and optimize margins for healthcare systems. Founded by a team of seasoned experts in technology, data science, and business strategy, our mission is clear: to empower organizations with the insights and tools they need to thrive in today's competitive landscape.With a relentless focus on innovation, we harness the power of data to uncover hidden opportunities and streamline operations. Whether it's through predictive analytics, machine learning algorithms, or bespoke software solutions, we tailor our approach to meet the unique needs of each client, delivering tangible results and sustainable competitive advantage.What sets us apart is our commitment to partnership and collaboration. We work closely with our clients every step of the way, from initial assessment to implementation and beyond, ensuring that our solutions are not only effective but also seamlessly integrated into existing workflows.Join us on the journey to redefine what's possible in business optimization. Together, let's unlock the full potential of technology and analytics to drive growth, enhance efficiency, and maximize margins.About The RoleWe are seeking a highly motivated Machine Learning Engineer to join a start-up engineering team working in stealth mode. The ideal candidate will have a solid background in machine learning, deep learning, and artificial intelligence, and a strong interest in developing scalable and efficient machine-learning models. As a Machine Learning Engineer, you will be involved in cutting-edge projects aimed at providing data-driven solutions and delivering valuable insights for our organization and customers.What You'll DoDevelop and deploy machine learning models, algorithms, and solutions to solve complex business problems.Collect, preprocess, and analyze data to derive valuable insights and patterns for model training and optimization.Collaborate with cross-functional teams to understand business requirements and translate them into machine-learning solutions.Implement and optimize machine learning pipelines, ensuring scalability, reliability, and efficiency of the models.Experiment with various machine learning algorithms, techniques, and frameworks to improve model performance and accuracy.Stay updated on the latest trends in machine learning, AI technologies, and incorporating innovative approaches into our projects.Conduct thorough model evaluation, testing, and validation to ensure the robustness and effectiveness of the solutions.Document and communicate technical concepts, methodologies, and findings to stakeholders and team members.Describe the specific responsibilities and job functions of the roleQualificationsBachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. 3 to 5 years of experience in machine learning, deep learning, and artificial intelligence roles, with a proven track record of developing and deploying machine learning models.Strong programming skills in Python, R, C, C++, SQL, or Java, with experience using machine learning libraries and frameworks such as TensorFlow, Keras, or PyTorch.Solid understanding of data preprocessing, feature engineering, model evaluation, and optimization techniques.Experience with big data technologies like Apache Kafka, Spark, and cloud computing platforms.Excellent problem-solving skills, analytical thinking, and attention to detail.Strong communication and collaboration skills to work effectively in a team environment.Describe the experience and attributes of the ideal candidateBenefitsCompetitive salary and benefits package for FTEsOpportunities for professional growth and developmentCollaborative and innovative work environment",Entry level,Machine Learning Engineer
+233,2025-03-19,San Francisco,California,Chalk,https://chalk.ai?utm=linkedin,"The data platform for inference.
+
+Build, deploy, and iterate faster with Chalk's feature engine.","We're hiring on-site working in person Monday through Friday in NYC and SFAbout ChalkInstead of relying on dated technologies like Spark, we built Chalk from the ground up to provide a best-in-class experience for our users – the experience we’ve always dreamed of. Chalk makes it simple to integrate new features, backtest changes, and deliver real-time machine learning and generative AI.Chalk's infrastructure is not just about powering decisions; it's about empowering developers. We deeply understand the pain points and workflows that make machine learning challenging, and Chalk was built to ease that pain.About the roleYou are an exceptional software engineer who is able to build bespoke technical solutions and partner with machine learning teams to develop Chalk’s proprietary infrastructure. You will work with customers of Chalk to build efficient feature pipelines for problems in healthcare, finance, and recommendation systems. This role will give you a unique opportunity to work closely with customers, gathering requirements and engineering feature pipelines that support use-cases like cancer detection, fraud prevention, and product recommendation. This is your opportunity to join us in-person as an early employee and make a significant impact at a high growth start-up. THIS IS A 5 DAYS A WEEK IN OFFICE ROLE.What you will doWrite code to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environmentsWork closely with our Engineering and Sales teamsAct as the the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one)Recommend new products to customers as their business evolvesHelp interview and grow the Engineering teamWhat we’re looking forTechnical background including experience writing software or building ML models2+ years experience of professional backend software engineering experienceProficient in Python, SQLAbility to collaborate effectively in teams of technical and non-technical individualsExcellent written and verbal communication, problem-solving, storytelling, and analytical skillsExperience working closely with sales teams and customers is a plus.Bonus pointsPrevious experience working with ML/data products or servicesUnderstanding of Machine Learning Ops/InfrastructurePrevious experience as a forward-deployed engineer in a high-growth startup focusing on Machine LearningBenefits⚕️Comprehensive medical, dental, and vision insurance🏦 Flexible Spending Account (FSA), Health Savings Account (HSA🦮 Expert Healthcare Guidance💵 Retirement savings🎄15 company holidays each year🏖️15 days of personal time off each year🚌 Flex Commuter Benefits🌮 Daily lunch and dinner on Chalk🥤Office is fully-stocked with drinks and snacks to fuel your work day. 🍽️ Staying late? Dinner is on us🚖 Staying even later? Grab an Uber / Lyft home on ChalkCompensationRange: $120K - $220KActual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process.Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk’s growth and us achieving our goals.The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation.InclusivityChalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.",Mid-Senior level,Machine Learning Engineer
+234,2025-04-09,Sunnyvale,CA,Juniper Networks,http://www.juniper.net,"Juniper Networks is leading the revolution in networking, making it one of the most exciting technology companies in Silicon Valley today. Since being founded by Pradeep Sindhu, Dennis Ferguson, and Bjorn Liencres nearly 20 years ago, Juniper’s sole mission has been to create innovative products and solutions that meet the growing demands of the connected world.
+ 
+Juniper Networks [NYSE: JNPR] is headquartered in Sunnyvale, California, with over 9,000 employees in 50 countries and nearly $5 billion in revenue. Our customers include the top 100 global service providers and 30,000 enterprises, including the Global Fortune 100 as well as hundreds of federal, state and local government agencies and higher educational organizations.
+
+At Juniper Networks, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement that the world has ever known. Now more than ever, the world needs network innovation to connect ideas and unleash our full potential. Juniper is taking a new approach to the network — one that is intelligent, agile, secure and open to any vendor and any network environment. 
+ 
+To learn more about Juniper, our products, and our vision for the decade ahead, visit our site at https://www.juniper.net.
+","At Juniper, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement the world has ever known.To achieve real outcomes, we know that experience is the most important requirement for networking teams and the people they serve. Delivering an experience-first, AI-Native Network pivots on the creativity and commitment of our people. It requires a consistent and committed practice, something we call the Juniper Way.Data Science Intern/ AI/ML EngineerAre you interested in applying your data science and machine learning knowledge to real world applications? This provides opportunity for building end-to-end solution using AI/ML – data explorations, identify key data correlations, feature engineering & encoding, building model, assess model and deploy the model.We at Juniper Networks are seeking continuing students who are interested in applying their Data Science & AI/ML skills during Summer 2025 Internships.We’re looking for people who are excited about:Solve real-world problems using data science AI/ML.Learn Service Demand Planning processExplore data to gain insightsModels the data, assesses and rebuildArt of possibilitiesResponsibilities include:Reviewing existing data for feature engineering of various demand and supply attributesDeveloping AI/ML model for forecasting service inventory across global service locations based on features selectedValidating the model, assess model for accuracy and confidenceIntegrating defined model with service logistics process to fulfil customer demandSetting up regular intervals to model learning with new increment dataReleasing the solution to pre-production for further quality assuranceEstablishing a near-real time prediction processThe Successful candidate must:Have either a bachelor’s or master’s degree with a major in data science and/or AI/ML. We will also accept candidates who are pursuing a Master’s degree program in data science and/or AI/ML. All candidates must have an anticipated graduation date from their degree program of December 2025 or laterHave college projects supporting developing AI/ML modelsTechnical Skills: Python, SQL, Data Science AI/ML related librariesPreferred qualifications for this role include:Candidates in Master's degree programs for Data Science and/or AI/MLWorking knowledge of data pipeline for continuous model learning and deploymentAdditional qualities of a successful candidate include (feel free to select from these or add your own):Analytical and problem-solving skills Demonstrated track record of taking initiative and being resourceful Ability to work collaboratively and solve problems Strong communication skills, especially written Leadership experience, whether formal or informal Enthusiasm! Please note the following restrictions for this position:Relocation assistance is not offeredCandidates for this role must possess authorization to work in the United States without need for current or future sponsorship.In addition, you will join our comprehensive University Talent Program that fosters personal as well as professional growth, thoroughly preparing interns for the next step in their careers. Juniper internships are project-based, allowing interns to solve important problems, make lasting impacts on their teams, and contribute to the company’s overall objectives. Interns are mentored by some of the most talented and skillful innovators in the industry; you will connect with transformative thought leaders who promote disruptive ideas in their field. You will also participate in constructive professional workshops, company-wide community service initiatives, and an executive speaker series. You’ll build lasting friendships, expand your network, and connect with colleagues from around the world.At Juniper Networks, you will not only have opportunities to build real-life, hands-on work experience – you’ll also have the chance to learn from the best and lay the groundwork for a successful career.Minimum Salary: $66,560.00Maximum Salary:$120,750.55The pay range for this position is expected to be between $66,560.00 and $120,750.55/year; however, the base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes medical benefits, 401(k) eligibility, vacation, sick time, and parental leave. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.Juniper’s pay range data is provided in accordance with local state pay transparency regulations. Juniper may post different minimum wage ranges for permanent residency petitions pursuant to US Department of Labor requirements.About Juniper NetworksJuniper Networks challenges the inherent complexity that comes with networking and security in the multicloud era. We do this with products, solutions and services that transform the way people connect, work and live. We simplify the process of transitioning to a secure and automated multicloud environment to enable secure, AI-driven networks that connect the world. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on Twitter, LinkedIn and Facebook.WHERE WILL YOU DO YOUR BEST WORK?Wherever you are in the world, whether it's downtown Sunnyvale or London, Westford or Bangalore, Juniper is a place that was founded on disruptive thinking - where colleague innovation is not only valued, but expected. We believe that the great task of delivering a new network for the next decade is delivered through the creativity and commitment of our people. The Juniper Way is the commitment to all our colleagues that the culture and company inspire their best work-their life's work. At Juniper we believe this is more than a job - it's an opportunity to help change the world...INCLUSION AND DIVERSITY AT JUNIPERAt Juniper Networks, we are committed to elevating talent by creating a trust-based environment where we can all thrive together. We know from experience that people from underrepresented groups often do not apply for roles they do not feel they meet all the criteria for. If you think you have what it takes, but do not necessarily check every single box, please consider applying. We’d love to speak with you.Additional Information for United States jobs:ELIGIBILITY TO WORK AND E-VERIFYIn compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.Juniper Networks participates in the E-Verify program. E-Verify is an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of new hires and the validity of their Social Security Numbers.Information for applicants about E-Verify / E-Verify Información en español: This Company Participates in E-Verify / Este Empleador Participa en E-VerifyImmigrant and Employee Rights Section (IER) - The Right to Work / El Derecho a TrabajarE-Verify® is a registered trademark of the U.S. Department of Homeland Security.Juniper is an Equal Opportunity workplace and Affirmative Action employer. We do not discriminate in employment decisions on the basis of race, color, religion, gender (including pregnancy), national origin, political affiliation, sexual orientation, gender identity or expression, marital status, disability, genetic information, age, veteran status, or any other applicable legally protected characteristic. All employment decisions are made on the basis of individual qualifications, merit, and business need.",Mid-Senior level,Data Science Intern/ AI/ML Engineer Intern - Summer 2025
+235,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team IntroductionThe Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly TikTok users around the world. Our mission is to build a world where ""there is no hard-to-sell good-priced product in the world"".We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. This Internship Program Runs For 12 Weeks Beginning In May/June 2025. Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.ResponsibilitiesImprove the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales. Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.QualificationsMinimum Qualifications:Currently pursuing an Master in Computer Science or a related technical disciplineAble to commit to working for 12 weeks during Summer 2025Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.Preferred QualificationsGraduating December 2025 onwards with the intent to return to degree program after the completion of the internship.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $42.75- $42.75.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (Search E-commerce) - 2025 Summer (MS)
+236,2025-04-09,Santa Clara,California,Plus,https://www.plus.ai,"Plus is a global AI-first autonomous trucking software company delivering safe autonomous trucks at scale. Headquartered in Silicon Valley with operations in the United States and Europe, Plus is named by Fast Company as one of the World's Most Innovative Companies. 
+
+Partners including Bosch, DSV, Hyundai Motor Company, Iveco Group, and Scania/MAN/International of the TRATON GROUP are working with Plus to accelerate the deployment of next-generation factory-built autonomous trucks. ","We’re seeking an enthusiastic and driven Simulation/ML Engineer Intern to join our team and work on an exciting project that blends Large Language Models (LLMs) with simulation technology. In this role, you’ll help develop a tool that can generate realistic, scalable simulation scenarios from text and real road data. This is a fantastic opportunity to apply your machine learning and robotics knowledge to real-world challenges, while working on a project that will revolutionize how simulation scenarios are created, with minimal manual effort. You’ll be at the forefront of innovation, helping us expand our capabilities in testing autonomous vehicles using large-scale simulation with LLM-driven solutions.Responsibilities:Gain a strong understanding of our simulation systems and data infrastructureDevelop machine learning models to generate realistic simulation scenarios from text, images and other types of recorded dataCollaborate with the simulation teams to refine and optimize the generated scenariosTest and improve model performance based on ground truth dataContribute to integrating the tool into existing simulation workflowsRequired Skills:Currently pursuing or recently graduated with a degree in Computer Science, Robotics, Machine Learning, AI, or a related field1+ years of experience in machine learning (Deep Learning, NLP, etc.)Experience with simulation frameworks (e.g., Gazebo, V-REP, Unity) and robotics applicationsStrong programming skills in Python and familiarity with machine learning libraries (TensorFlow, PyTorch, etc.)Preferred Skills:Experience working with Large Language Models (LLMs) and multimodal learning (text + images)Familiarity with scenario generation and counterfactual simulation techniquesKnowledge of text-to-image generation and data preparation for machine learning in simulation environments$19 - $65 an hourOur internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.",Internship,Software Engineer Intern - ML Simulation
+237,2025-01-07,San Francisco,CA,FERMÀT,https://fermatcommerce.co/3VYWycn,"Tailor Every Touchpoint. Convert more paid traffic by experimenting & owning your post-click experience.
+
+GET STARTED:
+Book a call with our team here: https://fermatcommerce.co/3VYWycn
+
+HAVE QUESTIONS?
+Drop us a message here: hello@fermatcommerce.com","FERMÀT enables eCommerce brands to transform clicks into conversions with highly-personalized , 1:1 dynamic shopping experiences.We've raised $30M+ to date and are backed by Bain Capital Ventures, Greylock, QED, and other top angels and commerce investors. Located in SF, Austin, NYC, and Bangalore, we're looking to expand our 70+ person team to build the future of eCommerce! After announcing our $17M Series A, FERMÀT is one of the fastest growing companies at this stage in the US.FERMÀT is the leading AI-native funnel management platform built for e-commerce marketers. We empower brands to create and manage delightful customer experiences across multiple channels in minutes. Our platform helps businesses transform their digital presence through intelligent, data-driven funnel creation that strengthens customer acquisition and drives measurable results. With FERMÀT, e-commerce teams can rapidly built, test and iterate on their customer journey while maintaining brand consistency across every touchpoint.About the Role:We’re searching for a visionary Machine Learning Engineer to join FERMÀT as the founding member of our AI/ML team. This is your chance to shape Pierre, FERMÀT's AI Agent, from the ground up—an intelligence engine designed to redefine commerce experiences through cutting-edge personalization, automation, and operational insights. In this role, you’ll have the unique opportunity to architect and implement scalable ML solutions, lead research projects, and stay ahead of the curve by experimenting with the latest advancements in AI, including LLMs and chatbots.As a key contributor to our engineering team, you’ll drive the strategy and hands-on implementation of MLOps pipelines, developing and deploying machine learning models that power AI-driven decision-making across our platform. This role is ideal for someone who thrives in ambiguity, loves tackling complex challenges, and is excited to shape the future of AI-powered commerce. You’ll work in a collaborative, fast-paced environment where your ideas will influence the trajectory of both our product and our company. If you’re passionate about building transformative systems and driving impact at scale, we’d love to hear from you.Responsibilities:Shape FERMÀT's long-term ML/AI strategy and align with the core product roadmapDesign, develop, and maintain end-to-end MLOps pipelines, from data ingestion to model deployment and monitoringProvide technical guidance and feedback on ML projects across the organizationExperiment with innovative machine learning architectures, incorporating LLMs into traditional ML systemsCollaborate closely with Data, Product, and Engineering teams to deploy models into production environmentsEvaluate and optimize model performance, scalability, and effectiveness, implementing necessary updatesRequirements:3+ years of experience in traditional machine learning, with exposure to modeling using LLMs4+ years of professional experience in software engineeringStrong proficiency in Python and Javascript, along with other programming languages commonly used in machine learningExpertise in data structures, data modeling, and data visualization, with strong data handling skillsSolid background in statistical analysis and data analysis for model training and evaluationExcellent communication skills for collaborating with stakeholders and translating technical conceptsExperience in big data processing and feature engineeringPrevious experience in a fast-paced startup environmentSelf-motivated with a strong sense of urgencyExceptional problem-solving skills and an aptitude for exploring novel model architecturesBachelor’s or master’s degree in computer science, data science, or a related fieldBenefitsCompetitive salary + equity packageComprehensive health, dental, and vision insurance for you and all your dependents. 401(k) plan with 4% matching4 months of paid parental leaveUnlimited PTO policy (with minimum 5 days PTO / quarter!)WFH stipendMonthly wellness stipendCompensation Range: $180K - $250K",Mid-Senior level,Machine Learning Engineer
+238,2025-04-07,New York,NY,Berkley Hunt,,"Berkley Hunt is a specialized technology recruitment firm, focused on delivering outstanding results to ambitious firms seeking top-tier talent. Founded in 2024, our commitment is to provide unparalleled recruitment services and expertise in the tech sector.
+ 
+Our team possesses in-depth knowledge and insight into the technology landscape, with a proven track record of delivering on challenging engineering and leadership searches, from niche headhunts to full team build-outs. We collaborate with a diverse range of businesses, from cutting-edge start-ups to established industry leaders, as a true partner in hiring elite-level tech talent capable of driving business success.
+ 
+At Berkley Hunt, we take pride in cultivating enduring relationships with clients and candidates alike. Leveraging our extensive industry network, market expertise, and a uniquely consultative approach, we aim to create lasting value for all stakeholders.
+ 
+Our focus areas are:
+        - Data/AI
+        - Product
+        - Software
+        - Cloud
+       ","ML Engineer | Hybrid – San Francisco or Los Angeles, CA**DUE TO FEDERAL REGULATIONS, CANDIDATES MUST BE US CITIZENS**Berkley Hunt has partnered with an innovative, VC-backed technology company focused on revolutionizing manufacturing engineering through cutting-edge AI solutions. As the demand for intelligent automation grows in manufacturing, they are addressing the complex challenges of integrating AI into real-world systems, from large language models for classification to optimizing cloud infrastructure for production deployment. To support this mission, they are looking for a product-focused AI Engineer to design, build, and deploy high-impact AI features that transform the way engineers work.About the Role:As an ML Engineer, you will work closely with cross-functional teams to shape the AI features that power the platform. You will have ownership over developing and deploying large language models (LLMs), collaborating with engineers to integrate AI capabilities into the platform’s infrastructure, and optimizing performance at scale. This role requires a combination of strong expertise in NLP, MLOps, and a solid understanding of building scalable, production-ready machine learning systems in a cloud environment.Responsibilities:Develop and fine-tune large language models (LLMs) for classifying aerospace engineering text, categorizing, and linking requirements across the platformImplement end-to-end ML features from product requirements to production deployment, including backend infrastructureCollaborate cross-functionally with app engineers, infrastructure, and security engineers to integrate AI capabilities seamlessly into our platformDesign and maintain reproducible training pipelines ensuring model consistency across different environmentsOptimize model training processes, inference performance, and associated cloud infrastructure costsEstablish MLOps best practices for versioning, monitoring, and maintaining AI systems in productionMentor team members on AI concepts and best practices to build organizational knowledgeExpectations:5+ years of professional experience developing AI/ML solutions in production environmentsStrong expertise in NLP, particularly with transformer-based models (BERT, GPT, etc.)Experience taking ML features from concept to production without extensive specialist supportFull-stack development capabilities to build complete AI featuresCross-functional collaboration skills and the ability to communicate complex AI concepts to non-specialistsIndependent problem-solving abilities and resourcefulness when tackling novel AI challengesProduct thinking – ability to translate business requirements into pragmatic AI solutionsExperience with MLOps tools and practices (model versioning, experiment tracking, CI/CD for ML)Demonstrated ability to manage and optimize AWS ML infrastructure costs and performanceExperience with containerization for ML workloads ensuring reproducibility across development and production environmentsBackground in implementing retrieval systems, semantic search, or vector databasesAdaptability and pragmatism – knowing when to use simple solutions versus building complex systems",Mid-Senior level,Machine Learning Engineer
+239,2025-04-09,San Francisco,CA,Airbnb,http://airbnb.com,"Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million Hosts who have welcomed over 1.5 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.","Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Community You Will JoinAirbnb is seeking a Software Engineer (New Grads) to join the Search Feed Team at Airbnb.Engineering at Airbnb is a diverse and dynamic field, with teams working on various aspects of the platform. The engineering department is divided into several teams, each focusing on different areas such as Payments, Relevance and Personalization, and Airbnb.org. Engineering technology that brings people together in the real world is both inspiring and daunting. We're tackling challenges in search relevance, payments, fraud prevention, discrimination, and growth all while maintaining a beautiful experience. We love to contribute to the community, from our work on testing React components to our new Android framework.The Difference You Will MakeAirbnb’s Search Feed team powers the core search experience that helps guests find their perfect stay. We develop highly impactful features, including Guest Favorites and Airbnb Categories, while collaborating closely with partners across design, product management, and data science to deliver experiences used by millions of people.Additionally, we focus heavily on strengthening our technical foundation. Our work includes architecting scalable solutions that support our growing set of search features, addressing critical codebase pain points to boost developer productivity, and building robust infrastructure that enhance performance and reliability of search features.You will play an impactful role in building world-class search experiences for millions of Airbnb users. You'll also solve architectural, performance, and scalability challenges while working with our codebase.A Typical DayWriting and testing code, implementing new features, and fixing bugsParticipating in team meetings, project plannings, and code reviewsCollaborating with product managers, designers, data scientists and other engineers to understand requirements and implementation detailsLearning the company's tech stack, codebase, and internal tools through documentation and mentorshipDocumenting your work and updating task tracking in project management toolsEngaging in regular 1:1s with your manager and working toward career development goalsYour ExpertiseThis opportunity is for recent graduates ONLY (completed Bachelor or Masters May 2023 - present) with less than 2 years of full-time work experienceKnowledge of Computer Science fundamentals including data structures, algorithms, design patterns, etc.Proficient in one or more of the following languages and tools: Java, Scala, Ruby, Ruby on Rails, C++, SQL, HTML/CSS, Javascript, Objective-C, Swift (iOS), Kotlin (Android)Leadership position, community involvement, and or teaching/mentoring experience is a plus!Work authorization for employment in the United States is required (OPT is accepted) - visa sponsorship is unavailable for this role.Your Location:This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & BelongingAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.How We'll Take Care Of YouOur job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.Pay Range$128,000—$139,700 USD",Mid-Senior level,"Software Engineer (New Grad), Search Feed"
+240,2025-04-06,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Content Ecology team aims to leverage AI and machine learning algorithms to build a suite of strategic models and platform solutions that enhance user experience across various sub-businesses under the short video business line.Our Focus Areas Include: TikTok Intelligent Customer Service: Utilizing large language models to address intelligent customer service and commercial customer service challenges. TikTok Local Services: Employing multimodal understanding technologies to solve content understanding and governance issues in local services. TikTok Search: Applying AI capabilities to provide hot event/topic discovery, event extraction, and summarization for the search business line.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to one of the following start dates below: January 13, 2025 February 3, 2025 March 3, 2025 May 19, 2025 June 9, 2025 July 14, 2025 August 11, 2025We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.Responsibilities: Develop and implement machine learning models to enhance user experience across various TikTok sub-businesses. Collaborate with cross-functional teams to integrate AI solutions into existing platforms. Conduct research and stay up-to-date with the latest advancements in AI and machine learning to continually improve our models and solutions.QualificationsMinimum Qualifications: BS/MS Degree in Computer Science or a related major Experienced in programming and algorithmic skills, proficient in languages such as Python, or C++. Deep understanding of one of the following areas: NLP (Natural Language Processing), CV (Computer Vision), LLM (Large Language Models)/MLLM (Multimodal Language Models), or Search. Experienced in one or more of the following topics: TensorFlow, PyTorch, or other machine learning frameworks. Good team communication and collaboration skills.Preferred Qualifications: Experience in building ML model development for large-scale consumer-facing applications. Experience or domain expertise in one or more of the following areas is preferred: NLP, CV, LLM/MLLM, Dialog System, Search, Recommendation Systems, etc. Published papers or hands-on project experience in the fields of NLP, CV, or multimodal technologies.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $119000 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Content Ecology) - 2025 Start (MS)
+241,2025-02-19,Munich,Bavaria,XPENG Deutschland,https://www.xpeng.com/de,"XPENG is a leading electric vehicle company headquartered in Guangzhou, China with offices in the US and Europe. The company is committed to driving the transformation of smart EVs through technology and shaping the mobility experience of the future. To optimize the mobility experience of its customers, XPENG develops in-house comprehensive technology for advanced driver assistance systems and in-vehicle intelligent operation system, as well as the core systems of the vehicle, including the powertrain and electric/electronic architecture.","XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.With this mission, we are looking for passionated machine learning engineers of all levels who will develop robotics technology together with us to shape the new future of humanoid robots. You will work on a lean team without boundaries. Your influence will be on every single product that is shipped, without boundaries as well.Job ResponsibilitiesDevelop and maintain machine learning models (e.g. VLM, VLA, RL, etc.) training and deployment pipelines that could scale to massive production.Work on efficient foundation models (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in humanoid robots.Work on efficient and effective ways to generate/leverage large scale dataset and computational resource.Explore novel ways to generate synthetic data to improve the data diversity & quality.Communicate and align with different teams on product needs across the company.Minimum QualificationStrong python programming skills & software development, and strong experience with any major deep learning framework.Solid background in machine learning, natural language processing, computer vision, speech or data science.Open-minded, collaborative & humble personality.Preferred QualificationDeep understanding of multimodal LLM modern architectures, ""under the hood"" LLM training knowledge, quantization techniques, etc.Record of publications, innovations or leadership.What Do We ProvideA fun, supportive and engaging environmentOpportunities to make a significant impact on the future of transportation and roboticsOpportunity to work on cutting edge technologies with the top talent in the fieldCompetitive compensation package & benefitsSnacks, lunches, and fun activitiesThe base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.",Entry level,"Machine Learning Engineer, Robotics"
+242,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+243,2025-04-03,New York,NY,Imprint,http://www.imprint.co,Come and build the easiest and most rewarding way to pay!,"Who We AreImprint is building a next-generation co-branded credit card company to serve America’s great brands. Some of our partners include H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer. Imprint is backed by Khosla Ventures, Kleiner Perkins, and Thrive Capital. We are focused on building a brilliant team who want to change payments and who embody our Operating Principles.The TeamThe Data Analytics team at Imprint builds the data foundation that powers smarter, faster decision-making. We develop infrastructure and analytics systems that support both daily operations and long-term strategy, enabling high-quality insights into customer behavior, product performance, and business growth. Our work helps teams across Imprint make informed, data-driven decisions at scale.You’ll be part of a high-trust, high-impact team where your work won’t just be seen—it’ll shape how we grow.What You’ll DoApply statistical inference, experimentation, and behavioral analytics to improve LTV/CAC and accelerate feedback loops. Be a champion of A/B testing. Partner with cross-functional teams to design, analyze, and interpret A/B tests correctly, rigorously measuring impact with scalable frameworks and data tooling. Build segmentation frameworks and predictive models to drive targeting and personalization. Translate data into clear narratives that influence product decisions, marketing campaigns, and executive strategy. Support Automation projects as needed—e.g. anomaly detection, partner data reporting, or internal self-serve tools/dashboards. What We Look For6+ years of experience in data science, analytics, or a related field—ideally at a high-growth startup or fintech company. Proven expertise in statistical inference, causal analysis, and experimentation design. Experience with marketing or product analytics (e.g., user segmentation, campaign attribution, experimentation). Strong SQL and Python skills. You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet. A highly analytical mindset with a bias toward action. Ability to clearly communicate complex findings to technical and non-technical audiences alike. Comfortable owning projects end-to-end and collaborating cross-functionally to drive impact. Bonus Points ForExperience building or scaling experimentation infrastructure. Familiarity with dashboarding tools (e.g., Sigma, Looker). Experience in credit, lending, or card products. Exposure to lifecycle marketing or prescreen modeling. Perks & BenefitsCompetitive compensation and equity packagesFlexible vacation policyFully covered, high-quality healthcare including fully covered dependent coverageAdditional health coverage includes access to One Medical and option to enroll in an FSA16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parentsAccess to industry-leading technology across all of our business units — stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivityAnnual salary range: $150k - $250k, and competitive equity packageImprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.Compensation Range: $150K - $250K",Mid-Senior level,Data Scientist
+244,2025-03-27,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The ML Platform team at Waymo provides a set of tools to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, optimization and monitoring to make our Perception, Planner, Research and Simulation teams better. We require your expertise to help us improve compute performance on both cloud and car. You'll work across the entire ML stack from the system perspective, from efficient deep learning models and model compression.You will report to the Senior ManagerYou WillCollaborate with the world-class Waymo ML practitioners in perception, planner, research and simulation to analyze ML workload performance and apply optimization techniques.Support the building of tools for benchmarking and optimizing deep learning modelsContribute to the analysis of ML software stack and model performance.Develop an efficient ML runtime system and optimized ML operator libraries for the diverse hardware options on Waymo's platforms.You HaveB.S. in CS, EE, Deep Learning or a related field2+ years of industry experienceSolid C++ programming skillsExperience developing/using deep learning frameworks (PyTorch, TensorFlow, JAX, etc.)Passion developing and optimizing ML software stacks for modern ML accelerator architectures (framework, runtime library, ML compiler, GPU performance/optimization etc)We PreferM.S. or PhD in CS, EE, Deep Learning or a related field.Experience on ML frameworks, ML compiler and IRs (MLIR, HLO, Triton) or modern ML system architectures and heterogeneous runtime systems/ML inference/serving engine.The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$170,000—$216,000 USD",Entry level,"Machine Learning Engineer, Runtime Optimization"
+245,2025-03-18,Manchester,England,Venturi,http://www.venturi-group.com/,"It’s everything we stand for. Our role is to assemble incredible tech talent.
+The visionaries, disruptors and leaders who make things happen. The
+ones who spark progress and innovation. Without them, ideas, projects
+and strategies never leave the table. We play a vital role. Identifying
+individuals we deem best-in-class and uniting them with progressive
+businesses. Similar to the Venturi effect, which gave us our name, we
+believe businesses are more able to move at speed when they’re under
+less pressure. Like, the pressure of being under-resourced. We alleviate
+that pressure by creating a seamless hiring experience, based on a deep
+understanding of the tech and recruitment landscape. It’s this expertise,
+combined with a people-first approach, that sets us apart from the pack.","Senior/Lead ML Engineer - OCR, PyTorchA Senior/Lead ML Engineer is required to join an industry-leading Series-A startup in New York who are at the cutting-edge of Computer Vision and OCR technology.The company have over 8+ years experience on the market, specializing in Image to Text conversions of everything from handwritten or printed text, PDF documents, and tables, into readable code via their accurate OCR platform. They're specialized in the STEM fields, and have already secured some huge tech clients such as Facebook Research, Chegg, and Anthropic.Tasks:Building, deploying, and fine-tuning end-to-end Computer Vision models with a focus on OCR.Understanding key business requirements to create product roadmaps and timelines.Collaborating with junior engineers to upskill and support their development.Benefits:On top of the competitive salary, you can also expect: Private Equity in the company, a structured 401k plan, and health insurance (health, life, dental, and vision).Lots of upward mobility, including the opportunity to mentor junior colleagues and progress into a leadership role.Constant training and development opportunities to develop your skills.Hybrid-working (2 days on-site, 3 days remote).The opportunity to work with a successful and profitable Series-A startup, where you can take ownership over core products and shape the future of the company.Your Profile:Strong experience with end-to-end Computer Vision / Seq2Seq models.Experience with PyTorch.Cloud experience in either AWS, GCP, or Azure - The company are cloud-agnostic, however primarily use AWS internally.Whilst this is a production-focused role, any research experience would also be beneficial.Any experience in the startup space would also be beneficial.*No sponsorship offered - US Citizens or Green Card holders only*If you're interested in learning more about this role, please apply via the link or reach out to me on LinkedIn.",Mid-Senior level,Senior/Lead Machine Learning Engineer
+246,2025-03-15,San Francisco,CA,Craft.co,https://craft.co,"Craft is the intelligent supply chain resilience platform that enables organizations to make smarter supplier decisions, protect against disruptions; and optimize supply chain strategies. We empower businesses to strengthen their supplier networks and supply chains with the industry's most trusted and comprehensive data fabric and advanced risk mitigation engine. Our easy-to-use platform provides 360-degree visibility to quickly explore and evaluate supplier networks, AI-driven insights to detect and mitigate disruptions, and collaborative tools to optimize supply chain strategies. With Craft, procurement and supply chain professionals can confidently navigate regulatory environments, uphold ethics, and drive business continuity.","About Craft:Craft is the leader in supplier risk intelligence, enabling enterprises to discover, evaluate, and continuously monitor their suppliers at scale. Our unique, proprietary data platform tracks real-time signals on millions of companies globally, delivering best-in-class monitoring and insight into global supply chains. Our customers include Fortune 500 companies, government agencies, SMEs, and global service platforms. Through our configurable Software-as-a-Service portal, our customers can monitor any company they work with and execute critical actions in real-time. We’ve developed distribution partnerships with some of the largest integrators and software platforms globally.We are a post-Series B high-growth technology company backed by top-tier investors in Silicon Valley and Europe, headquartered in San Francisco with hubs in Seattle and London. We support remote and hybrid work, with team members across North America, Canada, and Europe.We're looking for innovative and driven people passionate about building the future of Enterprise Intelligence to join our growing team!About the Role:Craft is looking for an experienced and motivated Machine Learning Engineer to join a team responsible for a key product within the organization. As a core member of this team you will have a great say in how solutions are engineered and delivered.Craft gives engineers a lot of responsibility, which is matched by our investment in their growth and development. We are growing quickly, and the only limits to your future growth with Craft are your dedication and abilities.The team has members in the US and Poland. This is a remote role, but we have a strong preference for candidates based in Eastern or Central time zones due to the current team members’ time zones.What You'll Do: Managing and developing end-to-end data science and machine learning projects, from research and data exploration to model development, validation, deployment, and optimization, such as entity resolution, anomaly detection, and agentic AI workflowsDetermining the right tool for a job - whether that’s utilizing a LLM, developing a new model, using a simple heuristic or a combination of the above. Integrating ML solutions with our data pipelines (Batch & Streaming)Helping to implement and champion an MLOps solution to be used within the company. Designing software that is easily testable and maintainable. Working with Full-Stack, Data, and DevOps Engineers to ensure smooth delivery of new features. Building strong partnerships with business stakeholders and product teams to understand key challenges, define objectives, and translate business needs into data science solutions that drive measurable impact and align with strategic goalsKeeping track of emerging technologies & trends in the Machine Learning world, incorporating latest research and tools at Craft. Who You Are:Production experience with creating and maintaining Machine Learning models. We expect you to be familiar with the entirety of ML Lifecycle and able to implement it by yourself. Experience in identifying anomalies across various data domains, including change point detection, time series anomaly analysis, and unsupervised outlier detection, to uncover irregular patterns, and enhance predictive monitoring. Robust experience using NLP solutions for unstructured data processing, along with a good sense of possibilities and limitations. 3+ years of experience in Python, including PyTorch or other major data science libraries. Experience with data science and software engineering - familiarity with clean code, unit testing and design patterns. Experience with cloud services - preferably AWS and Databricks. Self-starter who likes to take initiative. Experience with at least a part of our technology stack: Python, Polars, Pandas, Pytorch, Pandas, spaCy, transformers, AWS, Sagemaker, S3, Batch, Athena, Lambda, Kinesis, Kafka, RDS/Aurora Postgres, DynamoDB, Neptune, OpenSearch, Glue, Athena, Airflow, TerraformExperience with MLOps tools and best practicesWhat We Offer:Competitive salary starting at $160,000 USD/ year. This starting number can be increased based on levels of expertise, location, cost of living, taxes, market experience, etc. Equity at a well-funded, fast-growing startupUnlimited vacation time so you can take what you need, when you need it99% covered Health + Dental + Vision insurance for employees and dependents401K through Empower with options to invest how you want itA Note to Candidates:We are an equal opportunity employer who values and encourages diversity, equity and belonging at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, caste, or disability status.Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Craft, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!",Entry level,Machine Learning Engineer
+247,2024-12-22,Oakland,CA,Elicit,https://elicit.com/,"Elicit, the AI research assistant, helps you automate time-consuming research tasks like summarizing papers, extracting data, and synthesizing your findings.
+
+We're a public benefit company with a mission to scale up good reasoning. We want machine learning to help as much with thinking and reflection as it does with tasks that have clear short-term outcomes.","About ElicitElicit is the AI research assistant. We use language models to help researchers figure out what's true and make better decisions, starting with common research tasks like literature review.What We're Aiming ForElicit radically increases the amount of good reasoning in the world.For experts, Elicit pushes the frontier forward.For non-experts, Elicit makes good reasoning more affordable. People who don't have the tools, expertise, time, or mental energy to make well-reasoned decisions on their own can do so with Elicit.Elicit is a scalable ML system based on human-understandable task decompositions, with supervision of process, not outcomes. This expands our collective understanding of safe AGI architectures.Our Twitter page shows how Elicit helps researchers today. Our roadmap outlines our vision for how Elicit impacts more than research in the future.About The RoleAs an ML research engineer at Elicit, you will:Compose together tens to thousands of calls to language models to accomplish tasks that we can't accomplish with a single call.Curate datasets for finetuning models, e.g. for training models to extract policy conclusions from papersSet up evaluation metrics that tell us what changes to our models or training setup are improvementsScale up semantic search from a few thousand documents to 100k+ documentsAbout YouTo help us get there:You need to have a strong software engineering background. We want to apply your experience building systems, designing architecture, and thinking about good abstractions. Elicit will need you to do much more than write scripts.You must be familiar with language models (training, fine-tuning, evaluation), or have a comparable machine learning or natural language processing background (e.g. experience with information extraction, semantic search)You'll need a startup mindset. We expect to measure our impact in part by the people whose lives we improve through reasoning and models of the future. We know you care about that too. You’ll want to test lots of ideas, get feedback, and watch yourself learning and growing every day.To get a sense for how some of us look at applications, see this thread. (The short version: Wherever we can we prefer to directly evaluate work.)You can review a longer list of the kinds of ML-related projects you'd be working on here.Location and travelWe have a lovely office in Oakland, CA, but we don't all work from there all the time. It's important to us to spend time with our teammates, however, so we ask that all Elicians spend 1 week out of every 6 with teammates.We have a quarterly team retreat, normally in and around the SF bay area.We have quarterly co-working weeks (offset from the team retreats) in our Oakland office.If you come to the retreats and co-working weeks, you'll meet our expectations for in-person time!There is flexibility around the specifics here: if you're not sure you can make this work, get in touch.Am I a good fit?Consider These QuestionsHow does a transformer work?What is a tokenizer?What is a decorator in Python?What are generic types?Strong applicants will find it easy to answer these questions.BenefitsIn addition to working on important problems as part of a happy, productive, and positive team, we also offer great benefits (with some variation based on work location):Flexible work environment - work from our office in Oakland or remotely as long as you can travel to work in-person for retreats and coworking eventsFully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your familyFlexible vacation policy, with a minimum recommendation of 20 days/year + company holidays401K with a 6% employer match$2,000 device budget to start, with more accumulating for each month of work$500 / year personal development budgetA team administrative assistant that you can delegate personal and work tasks toCommuter benefits, a relocation bonus, and more!You can find more reasons to work with us in this thread.RoleFor all roles at Elicit, we use a data-backed compensation framework to make sure our salaries are market-competitive, equitable, and simple. For this role, we target starting ranges of:Career (L3): $195-235K + equitySenior (L4): $215-250K + equityStaff/Principal (L5): >$250K + significant equityWe're optimizing for a hire who can contribute at a L4/senior-level or above. We'd love to meet staff/principal level contributors as well.Join us!",Entry level,Machine Learning Engineer
+248,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $173,000-$259,000 annually.Zone B:The base salary range for this position is $164,000-$246,000 annually.Zone C:The base salary range for this position is $147,000-$220,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 4"
+249,2025-03-17,,,Hirechain,https://www.hirechain.io/,"Crypto's leading hiring & talent network
+
+Hirechain connects companies with talent they want to hire by curating candidates from referrers, recruiters and communities.","Hirechain are proud to be partnering with a high-growth tech startup that are a leader within the Memecoin space. They’re looking for a Machine Learning Engineer to take ownership of building and deploying data-driven models at scale.🔹 What they’re looking for:Proficiency in Python, SQL, and ML frameworks deployed on GCP or AWS.Strong understanding of machine learning, NLP, and data-driven model deployment.Experience leading projects end-to-end with strong communication skills.Background in a high-growth startup, scale-up, or FAANG-level company.Must be fully office-based in NYC.⭐ Preferred:Experience deploying real-time models at scale.Knowledge or experience in crypto is a plus.💰 Competitive Salary + Equity + Top-Tier Benefits",Mid-Senior level,Machine Learning Engineer
+250,2025-01-29,Santa Clara,CA,Tiger Analytics,http://www.tigeranalytics.com,"In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. 
+
+Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. 
+
+If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.","Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!What You'll Do:Collaborate with cross-functional teams to design and deploy ML models. Develop reusable, scalable code for AI/ML applications. Leverage GCP services to build end-to-end machine learning pipelines. Optimize models for performance and scalability using Vertex AIRequirementsKey Requirements: Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools.  Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI.  Model Development & Deployment: Proven ability to design, build, and productionize machine learning models.  API Development: Skilled in developing robust APIs for seamless integrations.  Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us?Work remotely while contributing to cutting-edge projects. Collaborate with a dynamic team passionate about AI/ML innovation. Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that's shaping the future of AI!BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.",Mid-Senior level,Machine Learning Engineer
+251,2025-04-04,Chandler,ARIZONA,Inherent Technologies,http://www.inherenttechnologies.com,"Inherent Technologies, LLC is an IT consulting and professional services firm located in Chandler, Arizona (USA). The firm endeavors to provide its clients with a wide breadth of services across the Information Technology spectrum. This includes software design, development and implementation; improving business through custom business solutions.
+
+
+Inherent Technologies, LLC. believes that teamwork is the key to success.Together Everyone Achieves More. We have a motivated and well qualified team with relevant experience to handle and provide solutions to a vast variety of applications. 
+
+The Premier Technology Execution Company As the premier technology execution company, we promise you the right expertise and an unrelenting commitment to service. 
+
+Our ability to deploy superior technology expertise is rivaled only by our deep commitment to service and reliability. This commitment isn't just something we talk about; it's part of who we are, and it shows in everything we do. 
+
+At Inherent Technologies®, we seek individuals who are not only technologically proficient, but who also care about teaming with other colleagues and clients. We recruit people with true strength of character and integrity, who genuinely share our values, and we treat every assignment as another step toward building long-term relationships. 
+","Primary ResponsibilitiesDesign machine learning systems to automate predictive models.Develop ML algorithms to analyze historical data to make predictions.Run tests, performing statistical analysis, and interpreting test results.Develop and support data pipelines to extract, transform and load data into Google Data Center data warehouse. Demonstrate ability and willingness to learn quickly and complete large volumes of work with high quality.Demonstrate outstanding collaboration, interpersonal communication and written skills with the ability to work in a team environment.Minimum QualificationsBachelor's degree in a quantitative discipline (e.g., Statistics, Computer Science, Math, Physics, Engineering), or equivalent practical experience.3+ years of experience in analytics or similar fields.Experience with scripting languages (e.g. Python, Perl, etc.).Experience manipulating data sets in SQL and using statistical software (e.g., R, SAS, MATLAB, Numpy/Pandas). Experience in software engineering, including gathering data for analysis, performing data filtering and preparation, and running tests at scale.Preferred QualificationsMasters degree in a quantitative discipline.Experience in machine learning (e.g., supervised learning, clustering).Experience designing data models or table schema.Experience writing and maintaining extract, transform, and load scripts which operate on a variety of structured and unstructured sources.Knowledge of statistics (e.g., probability theory, hypothesis testing, regressions), and experimentation theory",Mid-Senior level,ML & Data Science Engineer
+252,2025-03-27,New York,NY,DBI Staffing,http://www.dbistaffing.com,"Founded in 1999, DBI Staffing is a premier staffing organization dedicated to providing unparalleled service to both our clients and candidates.
+
+At DBI, we have revolutionized the traditional informal ""job search""​ transforming it into a positive and personal career path experience. We understand the emotions involved in hiring a new employee or making the decision to leave your current employer to seek new job opportunities. With that in mind, we take the time to really understand our clients'​ organization, culture and specific hiring needs. Taking the time to meet with each and every one of our applicants, our recruiters discuss previous experiences and background and learn what your desired ""next step""​ may be.
+
+We believe that success is achieved by affecting individuals and organizations through optimal customer service, unmatched industry knowledge and a tireless commitment to our people.
+
+Working with DBI, you will experience the benefits of consulting with our team of recruitment professionals and leverage our intimate knowledge of clients for ideal interview preparation.
+Our clientele ranges from smaller-mid to AMLaw 100 law firms, hospitals to health care organizations, hedge funds to Wall Street Banks and Brokerage firms, retail to insurance companies and is derived from over 20 years of management experience delivering the highest level of candidates and customer service.
+
+We invite you to experience the DBI Difference and look forward to working with you on your next career opportunity!","***US CITIZEN OR GC HOLDERS ONLY. NO THIRD PARTIES PLEASE***THIS POSITION IS HYBRID WITH 2-3 DAYS ONSITE IN MIDTOWN NYCWorking with cross-departmental teams, the Data Engineer will work as a member of the Information Technology team, contributing to the development and support of the data assets. This role is responsible for guiding the Data Science practice to allow for faster, cheaper, consistent, and reliable deployments while enabling transparency and reproducibility of modeling assets.ResponsibilitiesDevelop and deploy new Data/ML Ops/LLM Ops Pipelines to productionPerform Data analysis to generate business insights and convert to compelling visualizations using Power BI.Build data expertise and own data quality for allocated areas of ownershipManage data warehouse models for various pillars and perform data quality checks to ensure compliance.Assist in resolving user queries and issues.Support critical data processes running in productionQualificationsBachelor’s degree in Computer Science/Data Science.2 years of experience in Data / ML Engineering or a related role.Programming knowledge in Python And SQLExperience with data engineering and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, Apache Spark).Knowledge of database systemsCurious, self-driven, analytical, and excited to play with data.Experience in collaborating with individuals and organizations.Compensation varies based on skills, knowledge, and education. We consider factors such as specialized skills, depth of knowledge in the field, and educational background to ensure fair and competitive pay.",Mid-Senior level,Machine Learning Engineer
+253,2025-03-05,Washington,District of Columbia,Oddball,https://www.oddball.io,"Oddball is dedicated to digital modernization of federal citizen-centric services. As a unique digital agency, Oddball supports federal clients from design to deployment of scalable software solutions that are purpose-built for the citizens they serve and the workforces they enable. Experienced teams of full-stack developers, human-centered designers, product managers and project managers offer a proven record of delivery excellence in enterprise devops, cloud migration, user experience, continuous integration, continuous delivery and continuous deployment. ","Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.We are hiring an AI/Machine Learning Engineer  to work on a pivotal Federal program that is making a positive impact on millions of Americans' daily lives.What You'll Be DoingAs an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions. You will collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products. You’ll apply AI/ML expertise to solve meaningful challenges in federal programs, driving innovation in healthcare, veterans’ services, and more.What You’ll Bring7+ years of experience in software and machine learning engineering.3+ years of experience leading cross-functional AI/ML teams.Strong knowledge of natural language processing (NLP) and transformer models.Proficiency in Python and hands-on experience with ML libraries like TensorFlow, PyTorch, or Hugging Face Transformers.Expertise in the full ML pipeline, including data processing, model training, serving, and monitoring.Knowledge of NLP architectural strategies such as Retrieval-Augmented Generation, Knowledge Graphs, and Agentic Graphs.Proven experience building scalable, cloud-based AI/ML solutions on AWS, GCP, or Azure.Familiarity with Agile and DevSecOps methodologies for AI/ML development; AI/ML cybersecurity experience is a bonus.Understanding of ethics in AI, including bias mitigation, fairness, privacy (PII/PHI), and the ability to implement explainable AI techniques to ensure transparency and trust in AI-driven decisions.Experience fine-tuning pre-trained models for specific business use cases.Expertise in MLOps best practices, including Infrastructure as Code (IaC), CI/CD pipelines tailored for ML workflows, model version control, and real-time performance monitoring to ensure scalable and reliable AI/ML systems.Familiarity with NLP metrics and benchmarking utilities such as BERTScore, ROUGE, or METEOR.Familiarity with federal AI governance frameworks and compliance standards (e.g., NIST AI RMF, FedRAMP) is a plus.Strong communication skills for effectively engaging both technical and non-technical stakeholders.Passion for staying up-to-date with industry trends, emerging technologies, and evolving federal government standards.Experience engineering products in federal environments or on government contracts; experience with the Centers for Medicare & Medicaid Services (CMS) is a significant advantage.RequirementsMust be a US Citizen and able to work domestically Must be able to attain low-level security clearance EducationBachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. in a relevant field or equivalent experience is a plus. Preferred certifications: AWS Certified Machine Learning Specialty, TensorFlow Developer Certificate, or similar.BenefitsFully remoteAnnual stipendComprehensive Benefits PackageCompany Match 401(k) planFlexible PTO, Paid HolidaysEqual Opportunity Employer/Protected Veterans/Individuals With DisabilitiesOddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hr@oddball.ioThe contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)CompensationAt Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.United States Wage Range: $140,000 – $170,000",Entry level,AI/Machine Learning Engineer
+254,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users. We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTokInternships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 or August/September 2025 (Select May if Summer or August if FallPlease state your availability clearly in your resume (Start date, End date).Summer Start Dates:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23Fall Start Dates:Monday, August 11Monday, August 25Monday, September 8Monday, September 22Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms; Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok; Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently; Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety.QualificationsMinimum Qualifications: Currently pursuing a BS/MS degree in Computer Science, related technical field or equivalent industrial research experience; Experience in one of the following fields: recommendation systems, online advertising, information retrieval, natural language processing, computer vision, machine learning, large-scale data mining, or related fields preferred; Familiar with at least one of the mainstream deep learning frameworks, such as TensorFlow or PyTorch; Passionate about solving complex and challenging problems; Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $57.75- $57.75.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (E-commerce-Recommendation) - 2025 Summer/Fall (BS/MS)
+255,2025-02-21,New York,NY,North.Cloud,https://www.north.cloud,"North is a financial automation platform that helps companies reduce Cloud spend. 
+
+Leverage automation to create healthy cloud financial operations such as cost allocation, alerting, budgeting & cost governance, with no manual work. 
+
+Discover how North can streamline your Cloud finance at north.cloud.","About North (www.north.cloud)The public cloud is home to $200B+ in annual technology spend, yet 95% of it is still managed with credit cards and spreadsheets. With AI accelerating cloud growth towards $1T by 2030, businesses need better tools to manage, optimize, and scale their cloud investments.At North, we’re building the next-generation cloud spend management platform, giving companies clarity, control, and automation over their cloud finances. Our mission is to help organizations take charge of their cloud costs and maximize efficiency in the AI-driven era.Backed by top-tier investors and trusted by leading customers like Brave, StayNTouch, and DataBiologics, we’re assembling a world-class team to redefine how businesses manage cloud spend. If you’re looking for impact, growth, and the opportunity to shape the future of cloud finance, North is the place to be.About the roleWe’re looking for a Machine Learning Engineer to join our team and play a key role in developing, deploying, and optimizing our AI capabilities. You’ll work directly with our CTO to define and build AI-powered features that will shape Agent North, our customer-facing AI assistant, as well as drive advancements in cost and usage forecasting, financial modeling, and multi-service provider rightsizing.This is a hands-on, senior-level role—perfect for someone who thrives in a fast-moving startup environment, has built ML-powered products before, and is comfortable taking a project from 0 to 1. If you’re a high-energy, motivated engineer passionate about LLMs, cloud infrastructure, and deploying AI systems at scale, we want to hear from you.What you’ll doDesign, build, and deploy ML models for cloud automation and optimizationWork with LLMs, fine-tuning, optimizing, and integrating them into our platformDevelop AI chatbots and customer-facing AI solutions to automate and enhance cloud finance management.Ensure security and compliance in AI model deployment, implementing best practices for secure AI infrastructure.Set up and maintain ML infrastructure across GCP, AWS, and Azure, optimizing for scale and efficiency.Drive ML project development from 0 to 1, making key decisions on architecture, tooling, and implementation.Collaborate with engineering, product, and leadership teams to align AI development with business goals.Experiment with and implement cutting-edge ML techniques, including prompt engineering, model security, continuous evaluation, and monitoring frameworks.Provide thought leadership, driving AI strategy and identifying opportunities to improve and expand North’s AI capabilities.What you’ll need5+ years of hands-on experience in ML, AI model development, and infrastructure deployment.Experience with Terraform and Git for infrastructure management and version control.Strong Python skills (bonus if you’re comfortable with Go, SQL).Proficiency with ML frameworks like PyTorch, Hugging Face, LangChain, vertex databases, and open source models like Llama.Experience deploying ML models at scale (cloud-based, distributed systems, or edge deployments).Security-first mindset—deep understanding of AI security risks and best practices.Ability to move fast and iterate, taking ideas from concept to production.Excellent communication skills, with the ability to clearly convey progress, methodology, solution approach, and results.Strong analytical background, capable of sifting through complex cost patterns and making sense of intricate financial cloud modeling.A proactive, solution-oriented mindset—you’re not just an executor, but a thought leader who can challenge assumptions and improve the product.Nice to havesExperience working in a startupBuilt and deployed ML products or features in a production environmentHands-on implementation experience—we need builders, not just strategistsExperience working with financial cloud data across GCP, AWS, and AzurePast experience in a cloud financial project or roleAWS technical certification (or equivalent cloud certification)Experience deploying models in Amazon Bedrock or on AWSWork locationThis is a hybrid role in our New York office (in West Village). You will work part of the time in the office and part of the time remote / work-from-home. Benefits (for U.S.-based full-time employees)Unlimited PTO.NYC office access—work in West Village as desired.16-week fully paid parental leave (mothers can extend to 20 weeks at 50% pay).Mandatory company-wide breaks: last week of August & Dec 23–Jan 3.Healthcare: Anthem BlueCross Gold PPO, 75% employer-covered. 30-day sabbatical every 4 years.Ramp credit card for approved expenses.CompensationThe base pay for this role is: $160k-$220k per year. Actual compensation may vary and will be based on a candidate's qualifications, skills, experience, and location.Join us!If you’re a ML engineer who loves building AI-powered products, deploying at scale, and shaping the future of cloud financial automation, we’d love to hear from you. Apply today.",,Machine Learning Engineer
+256,2025-04-01,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We're looking for an experienced ML Engineer to help us develop and improve the models that power DoorDash's three- sided marketplace of consumers, merchants, and dashers. Team is responsible for building a leading industry level NLP/LLM system to empower all communication for Doordash Journey, also building recommendation/personalization to provide best experience.About The RoleAs a Machine Learning Engineer you will have the opportunity to identify and prioritize machine learning investments across our conversation AI & personalization ecosystem. You will leverage our robust data and infrastructure to develop natural language processing and personalization models that impact millions of users across our three audiences. You will partner with an engineering lead and product manager to set the strategy that moves the business metrics which help us grow our business.You’re Excited About This Opportunity Because You Will…Lead the development of DoorDash's support chatbot & LLM system: Applying LLM, active learning, semi- supervised learning, weak label generation, documentation embedding/retrieval and data augmentation strategies to improve the consumer, dasher, and merchant support experienceDrive the personalization of DoorDash's issue prediction & resolution policies: Using both personalization, recommendation and dynamic pricing modeling technologies to serve millions of customers on personalized prediction resolution for any issues they might encounter during their journeySpearhead the creation of next-generation LLM AI Agent tools: Building Co-pilot system to evolve how millions of users interact with our support systemApply stratification, variance reduction, and other advanced experiment design techniques to create A/B tests to efficiently measure the impact of your innovations while minimizing risk to the broader systemYou can find out more on our ML blog hereWe’re Excited About You Because You Have…3+ years of industry experience developing optimization models with business impact, including 1+ year(s) of industry experience serving in a tech lead role M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldYou must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New YorkDeep understanding of natural language processing techniques and procedures for efficiently acquiring and validating human-labeled dataGood experience in overall big data analysis, system, backed integration with new ML system/solution. Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inferenceFamiliarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLibExperience productionizing and A/B testing different machine learning modelsFamiliarity with advanced causal inferences techniques and contextual bandit algorithms preferredNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Mid-Senior level,Machine Learning Engineer - Conversation AI
+257,2025-04-03,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.Responsibilities: Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok. Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently. Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. Design and build supporting/debugging tools as needed.QualificationsMinimum Qualifications: Bachelor's degree or higher in Computer Science or related fields. Strong programming and problem-solving ability. Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Experience in Deep Learning Tools such as tensorflow/pytorch. Experience with at least one programming language like C++/Python or equivalent.Preferred Qualifications: Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $184300 - $337250 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - E-commerce Recommendation
+258,2024-12-19,New York,,QuadSci.ai,https://www.quadsci.ai/,"QuadSci.ai is a leading analytics services partner for B2B product and service companies balancing profitable growth & customer experience that today’s market demands. You have great intelligence in your data - QuadSci delivers on its potential.
+
+We started QuadSci to answer 2 fundamental questions:
+1) Customers demand great experiences and require you to lead them in their journey…Why isn’t this easy in the age of AI?  
+2) The Field wants to deliver great experiences but internal processes distract from customers…How can AI & Automation create a performance flywheel for the top & bottom line?   
+
+QuadSci combines telemetry & B2B application data from product analytics, CRMs, support systems, webpages, knowledge bases, and more to fuel our AI products.  Our prescriptive AI insights are deployed via our Intelligent Automation (IA) Libraries which deliver contextualized product experiences, lead your customers in their product adoption journey, automate repetitive processes for your field and provide recommended actions to maximize the financial performance across the top and bottom line for our customers. QuadSci is partnering with Go-To-Market leaders with a remit to deliver profitable growth via higher resource productivity, improved unit economics, and tech-powered automation to add points to the ""Rule of 40"" only orchestrating intelligence can provide.","About QuadSci.ai:QuadSci is an AI product company for software companies. QuadSci AIs are fine-tuned locally across telemetry and customer data to determine churn, contraction, and growth signals as far as 12 months in advance. We started QuadSci to answer 2 fundamental questions:Customers demand great experiences from software vendors and require you to lead them in their journey…Why isn’t this easy in the age of AI?  Software companies want to deliver great customer experiences but internal processes distract from Customers…How can AI & Orchestrated Action create a performance flywheel for the top & bottom line?   QuadSci is empowering Go-To-Market (GTM, Sales, Customer Success, Services, etc.) leaders to scientifically manage customer lifecycle, GTM performance and ARR predictability to add points to the ""Rule of 40"" only QuadSci can provide.About the DataML Engineer role:You are an expert at finding patterns and explaining insights from application & event data using supervised and unsupervised ML approaches to customers. Our AI insights & signals are the source of powering orchestrated actions (next-best action) that improves GTM performance of customer-centric organizations. You will be accountable for the development & packaging, fine-tuning and performance monitoring of QuadSci's AI products (Cohorts AI & Growth AI). A summary of your responsibilities is below: Field deployed AI/ML Engineer working across 1 - 5 customersAnalyzing diverse and dynamic data sets across application telemetry, CRM, Support, Accounting / Billing, Website Analytics and other common enterprise data sources.Utilize our auto and sem-auto feature engineering assets focused on large telemetry data sets (TBs to PBs)Deploy, train, test and monitor AI products at scale within a Customers’ operating architecture in platforms such as Vertex AIEngage with other QuadSci deployed colleagues on the explanation of data insights, confirmation of design requirements, root cause analysis, etc. Work with Customers on AI feature roadmaps (incl. GenAI applications) for their models and ongoing performance management of deployed AI models Collaborate with QuadSci colleagues, Customer Cloud Ops and Partners on ML ops, integrations and performance management Contribute to QuadSci codebase for auto-feature engineering, AI product packaging, next best action logic and moreBasic Qualifications - Must have:Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics or other related field 3+ years of relevant experience in data science or product development Experience with data science and cloud computing environments like VertexAI, Sagemaker or similar toolDemonstrated success in the use of clustering, classification, regression, decision trees etc to deliver transformative insightsStrong experience in building, training, and tuning predictive machine learning, especially in the domains of next best offer or recommended action based on time-series type data sets Experience in Natural Language Processing (NLP) for sentiment analysis and behavioral modeling Hands on experience with Pandas, Polars and / or Dask for data transformation & feature engineeringAdvanced Qualifications - Nice to have:Masters degree in Computer Science, Data Science, Applied Statistics or a related fieldDeployment architecture experience for MLOps optimization using technologies like Dagster or similar toolExperience in the use of Large Language Models (LLMs, both Open Source & Proprietary), Embeddings algorithms,Vector DBs and APIs to create GenAI applicationsFamiliarity with technologies and/or data architectures such as: Pendo, Salesforce and Open Telemetry Direct experience in the use of AI/ML to automate essential business processes that have an impact to Field teams or Customers ",,Machine Learning Engineer
+259,2025-03-27,London,,techire ai,http://www.techire.ai,"Techire AI - Your Gen AI Hiring Partner.
+ 
+We provide staffing & hiring solutions for companies building R&D / Research and Applied AI teams in Generative AI (Speech/Audio, Language/LLM, Vision), Agentic AI, Conversational AI / Language & Dialog Systems.
+ 
+Our niche focus allows us to identify, attract, and recruit the best people who build this tech. From Deep Learning Scientists, Machine Learning Engineers, VP AI’s, CTO’s and more. 
+
+Specifically in the areas of:
+
+Generative Speech / Audio - Text-to-speech (TTS) / Speech Synthesis / Speech Generation, Audio Synthesis / Audio Generation, Music Synthesis / Music Generation, Voice Cloning, Voice Conversion, Singing Synthesis
+
+Generative Vision - Lipsync, Faceswap, Video Generation / Video Synthesis, Image Generation / Image Synthesis, Neural Rendering (NeRF, Gaussian splatting), Talking heads, Digital twins/ AI Avatars, Text to Video (txt2vid), Video to Video (vid2vid), Text to image (txt2img)
+
+LLMs - LLMs, Multimodal LLM (text & image), LVMs
+
+Speech & Audio - ASR, Speech recognition, Speech-language processing, Speech/Audio processing, Speech to text
+
+Natural language - NLP, NLU, NLG 
+
+AI Agents - LLM Agents, Multi-agent Reinforcement Learning
+
+Deep Learning, Machine Learning, Diffusion, GANs, VAE (Encoders, Vocoders), Transformers
+
+Whether you are an emerging start-up building the next generation of AI or an established player looking to reinforce your team with leading Generative AI talent. Techire AI helps assemble high-performing technical teams poised to lead the industry forward. 
+ 
+We take pride in our work - because for us, this is far more than just recruiting. We focus on building quality partnerships to connect the right talent with the right teams.
+
+Want to find out more? Get in touch!
+","Build secure, deployable AI systems for industries where precision mattersWant to implement cutting-edge AI solutions for high-stakes industries? This role combines ML engineering expertise with real-world impact in aerospace, healthcare, manufacturing and defence.You'll join a small but fast-growing engineering team at a well-funded startup transforming how regulated industries leverage AI. Founded by successful entrepreneurs with billion-dollar exits, they've secured $20M and are already working with Fortune 500 clients where standard AI approaches fall short.This role offers a unique chance to work on AI challenges with meaningful real-world impact, with access to abundant compute resources for complex development. You'll help shape technical direction as an early team member, balancing practical implementation with cutting-edge ML research across multiple high-value industries in a no-ego culture focused on building working solutions.As an ML Engineer, you'll bridge the gap between research and practical implementation, ensuring sophisticated AI models work reliably in mission-critical environments.Your focus:Implementing and optimizing models for specific client needs across regulated industriesBuilding models (NLP or Computer Vision - depending on your background)Working with LLMs, such as API integrations, fine-tuning and promptingDeveloping client-specific models and adapting solutions using transfer learningConducting evaluations and handling customer data onboardingCollaborating with the Applied AI team to operationalize research breakthroughsYou should have:5+ years of experience in ML or software engineering with ML focusGood practical experience in PyTorch or TensorFlowExperience deploying ML models in production environmentsSolid AWS knowledge (or comparable cloud platform expertise)Python proficiency and familiarity with ML deployment challengesNice to have:Computer vision or NLP expertiseExperience in regulated industries (healthcare, aerospace, defence)Experience with KubernetesPrior work with MLOps tooling and practicesScience/engineering degree (Masters preferred)They offer:Competitive salary ($180k-$225k depending on experience) plus bonus potentialSignificant equity packageComprehensive healthcare (medical, dental, vision)401k contributions20 days vacation and flexible working arrangementsYou'll need to be based in the US – Seattle or Miami (attractive relocation package provided for Florida).If building secure, practical AI systems for industries where decisions truly matter appeals to you, reach out for a confidential conversation. All applicants will receive a response.",Mid-Senior level,Machine Learning Engineer
+260,2024-11-08,San Francisco,,Magic,https://magic.dev/,"Magic is working on frontier-scale code models to build a coworker, not just a copilot. Come join us: http://magic.dev","Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.About the role:As a Software Engineer working on our post-training data infrastructure, you write efficient and robust data pipelines and work with the research and Applied teams to devise strategies for gathering and maintaining specific, diverse datasets at scale.What you might work on:Develop creative ways to obtain post-training datasets teaching the model targeted capabilities. Develop creative ways to reliably generate synthetic datasetsIterate on filtering and scoring heuristics for a post-training datasetContribute to our data infrastructure by implementing, maintaining and testing data pipelines serving workloads across scales from gigabytes to 100s of petabytesWhat we’re looking for:Extreme attention to detail and commitment to data quality. Ability to write reliable, well-tested code and quickly learn new tools, programming languages or frameworks needed for a given job. Versatility in end-to-end data pipelines, from scraping to processing. High intellectual agility and grit to tackle tough challenges. Magic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience.Our culture:Integrity. Words and actions should be alignedHands-on. At Magic, everyone is building Teamwork. We move as one team, not N individualsFocus. Safely deploy AGI. Everything else is noiseQuality. Magic should feel like magicCompensation, benefits and perks (US):Annual salary range: $100K - $550KEquity is a significant part of total compensation, in addition to salary401(k) plan with 6% salary matchingGenerous health, dental and vision insurance for you and your dependentsUnlimited paid time offVisa sponsorship and relocation stipend to bring you to SF, if possibleA small, fast-paced, highly focused team",Entry level,Software Engineer - Post-training Data
+261,2025-04-07,San Jose,CA,PayPal,https://www.paypal.com/us/home,"We're championing possibilities for all by making money fast, easy, and more enjoyable. Our hope is unlock opportunities for people in their everyday lives and empower the millions of people and businesses around the world who trust, rely, and use PayPal every day. 
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+For support, visit the PayPal Help Center. https://payp.al/help
+
+For employment opportunities, check out our job openings in the 'Jobs' tab. We're an equal opportunity employer that welcomes diversity, and offer generous benefits to help you thrive at work and in your free time.
+","The CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Description Summary:PayPal is seeking a talented Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces including Venmo and PayPal. Your goal will be to optimize the customer journey through personalized, thrilling experiences. With a strong background in Machine Learning and practical experience in building and implementing large scale predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.Job Description:Your day to day Develop and implement advanced ML models, such as graph neural networks and deep learning models, to solve critical business problems related to recommendation of PayPal products, personalizing product experiences including UI flows, and optimizing the lifecycle of the customers on the platform.Design and deploy scalable generative AI solutions as part of the ecosystem.Design and deploy scalable ML/AI solutions that enhance PayPal's ability to provide a seamless customer experience, by working closely with our engineering group and PayPal's Platforms organization.Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise.What do you need to bring:Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 3+ yrs. of relevant industry experience or PhD with 2+ yrs. of relevant industry experienceExperience in any one of Recommendation, Ranking, Product and Marketing domains a big plusProficient in Programming languages such as Python, SQL. Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch. GCP/Hadoop and big data experience – an advantageExperience leading ML projects and great track record delivering solutions with attention to detail and efficiencyExperience shipping Realtime models a big plusFluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insightsPayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is PayPal is committed to fair and equitable compensation practices.Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.The U.S. national annual pay range for this role is $84500 to $204600For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspxCommitment to Diversity and InclusionPayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.Belonging at PayPal:Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please Join our Talent Community.We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.Notice to Applicants and Employees who reside within New York city. Click https://careers.pypl.com/Contact-Us/default.aspxto view the notice.REQ ID R0118714",Not Applicable,Machine Learning Engineer
+262,2025-02-24,New York,New York,TVADS.ai,https://tvads.ai,"At TVADS.ai, we are building the industry’s first holistic marketing solution that makes it easy for DTC and e-commerce brands to run performance ad campaigns on Streaming TV - leveraging their best brand, product & social content.
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+Our AI-driven platform connects the dots between performance TV creative, advanced targeting, and digital measurement to drive real performance for KPIs like website visits and purchases (CPA), as well as lift across existing search, social & other digital marketing channels.","About UsAt TVAds.ai, we are building the industry’s first holistic marketing solution that makes it easy for DTC and e-commerce brands to run performance campaigns on Streaming TV - in a way that leverages their best brand, product & social content.Our AI-driven platform connects the dots between performance TV creative, advanced targeting, and digital measurement to drive real performance for KPIs like website visits and purchases (CPA), as well as lift across existing search, social & digital marketing channels.Job DescriptionWe are seeking a highly skilled Machine Learning Engineer with extensive experience in TensorFlow, PyTorch, Google Colab, reinforcement learning, generative AI, and image and video processing to join our dynamic team. The ideal candidate will have a strong background in machine learning and deep learning, with a passion for developing and deploying state-of-the-art models. You will be working on a greenfield project leveraging cutting-edge Generative AI for streaming video advertising.Key ResponsibilitiesDesign, develop, and implement machine learning models using TensorFlow and PyTorch.Conduct research and experiments to advance the state-of-the-art in reinforcement learning and generative AI.Develop and optimize algorithms for image and video processing tasks.Collaborate with cross-functional teams to integrate machine learning solutions into production systems.Utilize Google Colab for prototyping and rapid development.Perform data preprocessing, augmentation, and analysis to improve model performance.Stay current with the latest research and advancements in machine learning and AI.Write clean, maintainable, and efficient code.Participate in code reviews and knowledge sharing with the team.Document methodologies, experiments, and results.QualificationsProven experience as a Machine Learning Engineer or similar role.Strong proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.Experience with reinforcement learning and generative AI techniques.Expertise in image and video processing algorithms and techniques.Proficiency in using Google Colab for developing and testing models.Familiarity with Google Cloud Platforms for deploying machine learning models.Strong understanding of data structures, algorithms, and software design principles.Excellent problem-solving skills and attention to detail.Strong communication and teamwork skills.Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.Preferred QualificationsExperience with other machine learning frameworks and libraries (e.g., Keras, Scikit-learn).Knowledge of advanced statistical methods and data visualization tools.Experience with natural language processing (NLP).Familiarity with containerization and orchestration tools like Docker and Kubernetes.Experience in deploying machine learning models in production environments.Experience with video, streaming, advertising, demand side platforms, and real-time advertising exchangesWhat We OfferCompetitive salary and benefits package.Flexible work hours and remote work options (2 days per week in office).Opportunities for professional growth and development.A collaborative and inclusive work environment.The chance to work on an exciting and innovative startup.Work with a very seasoned team of experienced, serial entrepreneurs.How To ApplyIf you are passionate about machine learning and want to be part of a dynamic team, we would love to hear from you. Please send your resume and a cover letter detailing your experience and why you are a good fit for this role to hiring@tvads.ai.TVAds.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.",Entry level,Machine Learning Engineer
+263,2025-04-09,Sunnyvale,CA,Juniper Networks,http://www.juniper.net,"Juniper Networks is leading the revolution in networking, making it one of the most exciting technology companies in Silicon Valley today. Since being founded by Pradeep Sindhu, Dennis Ferguson, and Bjorn Liencres nearly 20 years ago, Juniper’s sole mission has been to create innovative products and solutions that meet the growing demands of the connected world.
+ 
+Juniper Networks [NYSE: JNPR] is headquartered in Sunnyvale, California, with over 9,000 employees in 50 countries and nearly $5 billion in revenue. Our customers include the top 100 global service providers and 30,000 enterprises, including the Global Fortune 100 as well as hundreds of federal, state and local government agencies and higher educational organizations.
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+At Juniper Networks, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement that the world has ever known. Now more than ever, the world needs network innovation to connect ideas and unleash our full potential. Juniper is taking a new approach to the network — one that is intelligent, agile, secure and open to any vendor and any network environment. 
+ 
+To learn more about Juniper, our products, and our vision for the decade ahead, visit our site at https://www.juniper.net.
+","At Juniper, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement the world has ever known.To achieve real outcomes, we know that experience is the most important requirement for networking teams and the people they serve. Delivering an experience-first, AI-Native Network pivots on the creativity and commitment of our people. It requires a consistent and committed practice, something we call the Juniper Way.Data Science Intern/ AI/ML EngineerAre you interested in applying your data science and machine learning knowledge to real world applications? This provides opportunity for building end-to-end solution using AI/ML – data explorations, identify key data correlations, feature engineering & encoding, building model, assess model and deploy the model.We at Juniper Networks are seeking continuing students who are interested in applying their Data Science & AI/ML skills during Summer 2025 Internships.We’re looking for people who are excited about:Solve real-world problems using data science AI/ML.Learn Service Demand Planning processExplore data to gain insightsModels the data, assesses and rebuildArt of possibilitiesResponsibilities include:Reviewing existing data for feature engineering of various demand and supply attributesDeveloping AI/ML model for forecasting service inventory across global service locations based on features selectedValidating the model, assess model for accuracy and confidenceIntegrating defined model with service logistics process to fulfil customer demandSetting up regular intervals to model learning with new increment dataReleasing the solution to pre-production for further quality assuranceEstablishing a near-real time prediction processThe Successful candidate must:Have either a bachelor’s or master’s degree with a major in data science and/or AI/ML. We will also accept candidates who are pursuing a Master’s degree program in data science and/or AI/ML. All candidates must have an anticipated graduation date from their degree program of December 2025 or laterHave college projects supporting developing AI/ML modelsTechnical Skills: Python, SQL, Data Science AI/ML related librariesPreferred qualifications for this role include:Candidates in Master's degree programs for Data Science and/or AI/MLWorking knowledge of data pipeline for continuous model learning and deploymentAdditional qualities of a successful candidate include (feel free to select from these or add your own):Analytical and problem-solving skills Demonstrated track record of taking initiative and being resourceful Ability to work collaboratively and solve problems Strong communication skills, especially written Leadership experience, whether formal or informal Enthusiasm! Please note the following restrictions for this position:Relocation assistance is not offeredCandidates for this role must possess authorization to work in the United States without need for current or future sponsorship.In addition, you will join our comprehensive University Talent Program that fosters personal as well as professional growth, thoroughly preparing interns for the next step in their careers. Juniper internships are project-based, allowing interns to solve important problems, make lasting impacts on their teams, and contribute to the company’s overall objectives. Interns are mentored by some of the most talented and skillful innovators in the industry; you will connect with transformative thought leaders who promote disruptive ideas in their field. You will also participate in constructive professional workshops, company-wide community service initiatives, and an executive speaker series. You’ll build lasting friendships, expand your network, and connect with colleagues from around the world.At Juniper Networks, you will not only have opportunities to build real-life, hands-on work experience – you’ll also have the chance to learn from the best and lay the groundwork for a successful career.Minimum Salary: $66,560.00Maximum Salary:$120,750.55The pay range for this position is expected to be between $66,560.00 and $120,750.55/year; however, the base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes medical benefits, 401(k) eligibility, vacation, sick time, and parental leave. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.Juniper’s pay range data is provided in accordance with local state pay transparency regulations. Juniper may post different minimum wage ranges for permanent residency petitions pursuant to US Department of Labor requirements.About Juniper NetworksJuniper Networks challenges the inherent complexity that comes with networking and security in the multicloud era. We do this with products, solutions and services that transform the way people connect, work and live. We simplify the process of transitioning to a secure and automated multicloud environment to enable secure, AI-driven networks that connect the world. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on Twitter, LinkedIn and Facebook.WHERE WILL YOU DO YOUR BEST WORK?Wherever you are in the world, whether it's downtown Sunnyvale or London, Westford or Bangalore, Juniper is a place that was founded on disruptive thinking - where colleague innovation is not only valued, but expected. We believe that the great task of delivering a new network for the next decade is delivered through the creativity and commitment of our people. The Juniper Way is the commitment to all our colleagues that the culture and company inspire their best work-their life's work. At Juniper we believe this is more than a job - it's an opportunity to help change the world...INCLUSION AND DIVERSITY AT JUNIPERAt Juniper Networks, we are committed to elevating talent by creating a trust-based environment where we can all thrive together. We know from experience that people from underrepresented groups often do not apply for roles they do not feel they meet all the criteria for. If you think you have what it takes, but do not necessarily check every single box, please consider applying. We’d love to speak with you.Additional Information for United States jobs:ELIGIBILITY TO WORK AND E-VERIFYIn compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.Juniper Networks participates in the E-Verify program. E-Verify is an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of new hires and the validity of their Social Security Numbers.Information for applicants about E-Verify / E-Verify Información en español: This Company Participates in E-Verify / Este Empleador Participa en E-VerifyImmigrant and Employee Rights Section (IER) - The Right to Work / El Derecho a TrabajarE-Verify® is a registered trademark of the U.S. Department of Homeland Security.Juniper is an Equal Opportunity workplace and Affirmative Action employer. We do not discriminate in employment decisions on the basis of race, color, religion, gender (including pregnancy), national origin, political affiliation, sexual orientation, gender identity or expression, marital status, disability, genetic information, age, veteran status, or any other applicable legally protected characteristic. All employment decisions are made on the basis of individual qualifications, merit, and business need.",Mid-Senior level,Data Science Intern/ AI/ML Engineer Intern - Summer 2025
+264,2025-03-23,Mountain View,CA,Nuro,https://www.nuro.ai,"Nuro exists to better everyday life through robotics.
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+Founded in 2016, Nuro is a leading AI Robotics company with fully autonomous vehicles on road today in California and Texas. The company’s core technology is the Nuro Driver™, an integrated autonomous driving system consisting of state-of-the-art, AI-first software and automotive grade L4 sense and compute hardware. The first commercial application of the Nuro Driver™ is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.","Who We AreNuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver™ is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver™ is one of the few driverless autonomous technologies on public roads today.Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We’ve partnered with some of the world’s most respected brands including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven.About The RoleThe Mapping team in Nuro takes a machine learning first path to unblock geographic capability with lower costs. This team plays a crucial role in the advancement of autonomous driving systems by creating and improving different components in the full lifecycle of ML models for multiple teams in this organization. We are searching for an engineer with experience building reliable and scalable machine learning infrastructure and a strong desire to contribute to the future of robot navigation for logistics and transportation.About The WorkMainly focus on building and improving data and machine learning systems.Build model training infra for L&M model training by leveraging and improving existing internal frameworks.Engage with other L&M teams to help identify issues and establish long-term relationships that include knowledge sharing.Provide valuable feedback loops to model training teams backed by data and metrics.Contribute to engineering a high-performance system through architectural design, algorithmic optimization, and performance tuning.About You3+ years of hand-on experience in building scalable backend systems for training and evaluation of machine learning models.Understanding of machine learning, distributed systems, reliability and scalability, cloud platform, and common storage solutions.Ability to efficiently develop, debug, and support new technologies in a changing environment.Strong problem-solving skills and ability to write production-quality clean code.At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $138,225 and $207,575 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.",Mid-Senior level,"Software Engineer, Map ML Platform"
+265,2024-06-27,,,FORDER I.T.,www.forder-it.com,"FORDER I.T. only works with the most desirable and greatly anticipated AI & ML start-ups. 
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+We hand pick clients that have a long term vision to become the best in their field. But also create the best working environment, benefits and growth plans for their members of staff.   ","We are currently seeking a talented and innovative Machine Learning Developer to join our clients dynamic team. In this role, you will collaborate closely with our researchers to leverage your expertise in machine learning and software engineering. As a Machine Learning Developer, you will play a key role in the design, development, and maintenance of systems dedicated to high-performance, large-scale knowledge discovery in financial data. Responsibilities:Design, implement, test, and document modules for all stages of the pipeline, from data processing to predictions.Assemble modules into end-to-end systems, ensuring seamless integration and functionality.Collaborate with researchers to facilitate highly productive experimentation, model construction, and validation.Contribute to the continuous improvement of our machine learning systems by staying abreast of advancements in software engineering and machine learning.Qualifications:Strong knowledge of software engineering principles.Proficiency in machine learning and familiarity with open-source machine learning ecosystems.Demonstrated track record of building and applying high-performance machine learning systems.Effective communication skills and the ability to collaborate with cross-functional teams.Flexibility to work in a fast-paced and dynamic environment.Preferred Qualifications:Impressive record of academic achievement (a plus, but not mandatory).Welcoming outstanding candidates from diverse academic disciplines and backgrounds.If you are passionate about pushing the boundaries of machine learning in the financial domain and thrive in a collaborative and challenging environment, we invite you to apply for this exciting opportunity. Apply online or to oliver@forder-it.com",Mid-Senior level,Machine Learning Engineer
+266,2025-03-26,San Francisco,California,EvenUp,https://www.evenuplaw.com,"EvenUp's vision is to help these injury victims get the justice they deserve, irrespective of their income, demographics, or legal representation.","EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.Why We Are Hiring a Machine Learning EngineerAt EvenUp, the Machine Learning Team is pivotal in leveling the playing field in legal disputes. We tackle challenging problems at the intersection of ML, information retrieval, and generative AI to create meaningful impact for plaintiffs and attorneys. As a Machine Learning Engineer, you will contribute to building scalable, innovative solutions in the domain of Document AI, working on complex legal data and leveraging cutting-edge techniques to deliver actionable insights and transformative results.This role provides a unique opportunity to work with a proprietary dataset, solve high-impact problems, and see your contributions lead to real-world justice.This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs.What You'll DoPioneer cutting-edge Document AI systems at the forefront of generative AI innovation, building next-generation models that go beyond traditional document processing to achieve human-level understanding of complex legal and medical documents, intelligently extract key entities and relationships, perform sophisticated multi-document reasoning, and generate contextually-aware documents that transform business workflows.Implement and advance technologies in:Information Extraction (using traditional ML, LLMs, and multi-modal LLMs for entity recognition, relationship extraction, and document structure understanding)Information Retrieval (query understanding, semantic search, hybrid retrieval architectures, and learning-to-rank models)Data Management (schema design, knowledge graphs, distributed data pipelines, and petabyte-scale processing)RAG (Retrieval-Augmented Generation) with advanced techniques like multi-hop reasoning, chain-of-thought prompting, and self-consistency checksPrompt Engineering (few-shot learning, instruction tuning, and context window optimization)LLM fine-tuning (parameter-efficient techniques like LoRA/QLoRA, instruction fine-tuning, and domain adaptation)Collaborate with domain experts (legal, healthcare, etc), product managers, and engineers to translate insights into robust machine learning systems.Create tools that empower internal teams and clients to make data-driven decisions.Mentor junior team members, promoting a culture of excellence and collaboration.What We Are Looking ForWe recognize the breadth of skills required and do not expect candidates to have experience in all areas. We seek talent with a strong foundation in machine learning, information retrieval, or data management, with particular interest in LLM and generative AI technologies.3+ years of experience in machine learning, data science, or similar technical roleStrong software engineering fundamentals and proficiency in PythonDemonstrated expertise in:Classical ML techniques (regression, classification, clustering)Deep learning frameworks (PyTorch, TensorFlow)Natural language processing and information extractionLarge language models and prompt engineeringRAG system design and implementationAdvanced RAG techniques (multi-hop reasoning, self-consistency)Vector databases and embedding techniquesModel evaluation and validation methodsExperience with:LLM fine-tuning (LoRA, QLoRA, instruction tuning)Knowledge graph construction and reasoningProduction ML system deploymentDistributed computing and data processingExcellent communication skills with ability to:Explain complex technical concepts clearlyCollaborate effectively with cross-functional teamsWrite clear technical documentationSound judgment in balancing technical tradeoffs with business needsWhy Join EvenUpBe part of a mission-driven company making a tangible impact in the lives of injury victims.Work at the cutting edge of Document AI, tackling challenging ML and data problems.Collaborate with a diverse team of experts from top tech, legal, and investment firms.Grow with a rapidly scaling company backed by world-class investors and thought leaders.If you’re passionate about solving meaningful problems, advancing ML technologies, and making a difference, we’d love to hear from you!Notice To CandidatesEvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com or @evenup.ai, or no-reply@ashbyhq.com email address.If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & PerksOur goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco, Los Angeles, and TorontoPlease note the above benefits & perks are for full-time employees About EvenUpEvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.",Entry level,Machine Learning Engineer
+267,2025-03-24,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2935863",Not Applicable,"Machine Learning Engineer, AGIF | Finetuning"
+268,2025-01-14,Birmingham,Alabama,ArcheHealth,www.archehealth.ai,,"We are passionate about leveraging cutting-edge technology and advanced analytics to drive growth and optimize margins for healthcare systems. Founded by a team of seasoned experts in technology, data science, and business strategy, our mission is clear: to empower organizations with the insights and tools they need to thrive in today's competitive landscape.With a relentless focus on innovation, we harness the power of data to uncover hidden opportunities and streamline operations. Whether it's through predictive analytics, machine learning algorithms, or bespoke software solutions, we tailor our approach to meet the unique needs of each client, delivering tangible results and sustainable competitive advantage.What sets us apart is our commitment to partnership and collaboration. We work closely with our clients every step of the way, from initial assessment to implementation and beyond, ensuring that our solutions are not only effective but also seamlessly integrated into existing workflows.Join us on the journey to redefine what's possible in business optimization. Together, let's unlock the full potential of technology and analytics to drive growth, enhance efficiency, and maximize margins.About The RoleWe are seeking a highly motivated Machine Learning Engineer to join a start-up engineering team working in stealth mode. The ideal candidate will have a solid background in machine learning, deep learning, and artificial intelligence, and a strong interest in developing scalable and efficient machine-learning models. As a Machine Learning Engineer, you will be involved in cutting-edge projects aimed at providing data-driven solutions and delivering valuable insights for our organization and customers.What You'll DoDevelop and deploy machine learning models, algorithms, and solutions to solve complex business problems.Collect, preprocess, and analyze data to derive valuable insights and patterns for model training and optimization.Collaborate with cross-functional teams to understand business requirements and translate them into machine-learning solutions.Implement and optimize machine learning pipelines, ensuring scalability, reliability, and efficiency of the models.Experiment with various machine learning algorithms, techniques, and frameworks to improve model performance and accuracy.Stay updated on the latest trends in machine learning, AI technologies, and incorporating innovative approaches into our projects.Conduct thorough model evaluation, testing, and validation to ensure the robustness and effectiveness of the solutions.Document and communicate technical concepts, methodologies, and findings to stakeholders and team members.Describe the specific responsibilities and job functions of the roleQualificationsBachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. 3 to 5 years of experience in machine learning, deep learning, and artificial intelligence roles, with a proven track record of developing and deploying machine learning models.Strong programming skills in Python, R, C, C++, SQL, or Java, with experience using machine learning libraries and frameworks such as TensorFlow, Keras, or PyTorch.Solid understanding of data preprocessing, feature engineering, model evaluation, and optimization techniques.Experience with big data technologies like Apache Kafka, Spark, and cloud computing platforms.Excellent problem-solving skills, analytical thinking, and attention to detail.Strong communication and collaboration skills to work effectively in a team environment.Describe the experience and attributes of the ideal candidateBenefitsCompetitive salary and benefits package for FTEsOpportunities for professional growth and developmentCollaborative and innovative work environment",Entry level,Machine Learning Engineer
+269,2025-04-01,Boston,Massachusetts,Publicis Sapient,http://publicissapient.com/,"Publicis Sapient is a digital business transformation company. We partner with global organizations to help them create and sustain competitive advantage in a world that is increasingly digital. We operate through our expert SPEED capabilities: Strategy and Consulting, Product, Experience, Engineering and Data, which combined with our culture of curiosity and deep industry knowledge, enables us to deliver meaningful impact to our clients’ businesses through reimagining the products and experiences their customers truly value. Our agile, data-driven approach equips our clients’ businesses for change, making digital the core of how they think and what they do. Publicis Sapient is the digital business transformation hub of Publicis Groupe with 20,000 people and over 50 offices worldwide. For more information, visit publicissapient.com.","Job DescriptionYour Impact:Publicis Sapient is seeking an AI Machine Learning Engineer to strengthen our Data Science division. As a key member of the team, you ll lead the development of data-driven solutions powered by cutting-edge learning algorithms, with a special focus on integrating advanced AI methodologies into our workflow. Your role involves implementing conceptual models for problem-solving within the machine learning domain and translating organizational objectives into actionable data-driven strategies. Thriving amidst diverse datasets globally, you ll have the chance to work with state-of-the-art technology and witness firsthand how your insights translate into tangible business results.This position plays a crucial role in advancing the application of machine learning as a foundational tool for addressing real-world business challenges. Leveraging your expertise in advanced AI techniques alongside traditional methodologies, you ll contribute to solving complex business problems across various areas, including Demand Forecasting, Customer Profiling, Operational Optimization, Recommendation Systems, Propensity Modeling, Conversational AI and Risk Analysis.Join us in driving innovation and delivering true business value to our customers through the strategic application of cutting-edge AI and data-driven solutions.QualificationsYour Experience:Experience across public clouds (AWS, GCP, Azure, Snowflake)Fine tuning experience of large models (LLMs, VLLMs, or Vision model)Distributed training or inference experience (distributed, ray, vllm, openllm, bentoML etc).Deployment experience or hosting experience of large models (LLMs, VLLMs, or Vision model)Optimized hosting of model s (vllms, tgi etc)Vector database experience (weaviate, milvus, HNSE, FAISS)Agentic Framework (Metagpt, Agent)Experience with prompt engineeringPassionate and informed on Data Science, AI and knowledgeable on advancements and market trendsExperience with open-source modelsBS/MS in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative or computational field. Advanced degrees preferredStrong written and verbal communication skillsArticulation skillsCollaborative and open to new ways of learningSelf-starter who thrives in an autonomous environmentAbility to prioritize and manage multiple tasksProcess oriented with the ability to define and set up processesAdditional InformationThe pay range: $123,000-153,000. The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.Working Here: Flexible vacation policy: time is not limited, allocated, or accrued 16 paid holidays throughout the year Generous parental leave and new parent transition program Tuition reimbursement Corporate gift matching program As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicissapient.com or you may call us at +1-617-621-0200.Company DescriptionPublicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.",Mid-Senior level,AI Machine Learning Engineer
+270,2025-03-27,Mountain View,California,Moveworks,https://moveworks.ai/?utm_source=soc&utm_medium=li,"Moveworks unifies every business system with natural language, giving employees one place to go to find information, automate tasks, and be more productive, increasing employee efficiency and satisfaction by streamlining everyday tasks.
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+Powered by a pioneering agentic AI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, Moveworks understands employee requests, devises intelligent plans, and executes actions to complete tasks across application boundaries in over 100 languages.
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+More than 350 brands, such as Toyota, Spotify, GitHub, Marriott, Snowflake, Unity, Databricks, Broadcom, Hearst, and Palo Alto Networks, trust Moveworks to automate menial tasks and power a universal search interface across business applications.
+
+Learn more at moveworks.com.","What will you do?Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.Build abstractions to automate various steps in different ML workflows.Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features.Leverage your experience to drive best practices in ML and data engineering.What do you bring to the table?Significant academic background in ML and/or industry experience in Machine Learning, Infrastructure or related fields.Expertise in Python and Golang.Experience with building end-to-end machine learning systems.Experience building scalable micro services and ETL pipelines.Experience with deep learning framework such as Pytorch or Huggingface.A love of research publications in the machine learning and software engineering communities.Effective communicator with experience collaborating cross-functionally with other teams.Nice to have:Experience with ML Inference framework such as TensorrtLLM or Nvidia Triton.Experience with distributed training frameworks such as Deepspeed.Base salary compensation range: $160,000-190,000Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.Moveworks Is An Equal Opportunity EmployerMoveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.Who We AreMoveworks is the universal AI copilot for search and automation across all your business applications. We give employees one place to go to find information and get support while reducing costs for your business. The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them. It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees.The world’s most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminate repetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team. In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year. We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024!Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.Come join one of the most innovative teams on the planet!",Mid-Senior level,Machine Learning Engineer - LLM
+271,2025-04-01,San Francisco,CA,Baseten,https://www.baseten.co/,"At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently. 
+
+Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models.
+
+We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic.
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+Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature.","About BasetenJoin our dynamic team at Baseten, where we’re revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by premier investors such as IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading enterprises and AI-driven innovators—including Descript, Bland.ai, Patreon, Writer, and Robust Intelligence—to deliver top-tier performance, security, and reliability for their production workloads. With our recent $75 million Series C funding, we’re poised to accelerate our mission to make AI accessible across all products. If you’re passionate about tackling impactful challenges and building transformative solutions from the ground up, we invite you to join us on this exciting journey!THE ROLEAs a Machine Learning Engineer specializing in Fine-Tuning at Baseten, you'll create exceptional value for customers by leveraging our world-class infrastructure to fine-tune large language models and/or other modalities, working directly with customers to achieve their specific goals. You'll build scalable pipelines, implement parameter-efficient techniques, and ensure a seamless transition to inference. This customer-facing role requires both technical expertise in foundation model adaptation and the ability to translate customer needs into effective solutions. You'll also help shape our product roadmap by identifying common patterns in customer requirements and working with product teams to develop reusable components and features , reducing the need for custom services and streamlining the fine-tuning process for everyone.ResponsibilitiesDesign comprehensive fine-tuning strategies that translate customer requirements into effective technical approaches—finding the optimal combination of data preparation, training techniques, and evaluation methods to deliver solutions that precisely address customer needsDevelop tools to enable non-ML experts to fine-tune models effectivelyDesign and implement scalable fine-tuning pipelines for large language models and other AI modalitiesWork directly with customers to understand requirements and guide technical implementationServe as the technical point of contact for customers throughout their fine-tuning journeyUtilize state-of-the-art parameter-efficient fine-tuning methods (LoRA, QLoRA)Build systems for efficient data preparation, evaluation, and deployment of fine-tuned modelsResearch and apply cutting-edge techniques in instruction tuning and model customizationCreate frameworks to evaluate fine-tuned model performance against base modelsImplement best-in-class distributed training techniques like FSDP and DDP across various hardware configurationsRequirementsBachelor’s degree in Computer Science, Engineering, or related field3+ years of experience in ML engineering with focus on model training and fine-tuningExperience with advanced fine-tuning frameworks such as Axolotl, Unsloth, Transformers, TRL, PyTorch Lightning, or Torch Tune, enabling efficient model adaptation and optimizationHands-on experience fine-tuning or pre-training LLMs or other foundation modelsExcellent communication skills for explaining complex concepts to varied audiencesNICE TO HAVEExperience working with customers to deliver technical solutionsTrack record of delivering ML projects to enterprise customersKnowledge of distributed training systems and efficiency optimization techniquesExperience with advanced alignment and adaptation techniques including RLHF, DPO, constitutional AI, prompt tuning, reinforcement learning with execution feedback, PPO, or other emerging alignment methodsKnowledge of prompt engineering and domain adaptation methodsContributions to open-source fine-tuning projects or toolsExperience building user-friendly interfaces for fine-tuning workflowsExperience with cloud platforms (AWS, GCP, Azure) and containerization technologiesBenefitsCompetitive compensation package (Flexible PTO, covered healthcare premiums for you and your dependents)A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our eraAn inclusive and supportive work culture that fosters learning and growthExposure to a variety of ML startups, offering unparalleled learning and networking opportunitiesApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.Compensation Range: $150K - $225K",Not Applicable,Machine Learning Engineer - Fine Tuning
+272,2025-03-21,Princeton,New Jersey ,Compunnel Inc.,http://www.compunnel.com,"Compunnel, Inc., founded in 1994 and headquartered in New Jersey, is at the forefront of providing customized workforce and digital transformation solutions, enhancing the total experience for our valued business allies. Our approach integrates innovative technologies with a human-centric dialogue, exceeding the needs of our customers, employees, partners, and key growth contributors and delivering exceptional value.  
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+With a strategic presence across the United States through over 30 local service delivery centers and global support from our centers in Canada, India, and the UK, Compunnel proudly serves over 200 clients, including 23% of Fortune-listed enterprises. Our expertise is trusted by various clients, from global corporations to various federal, state, and local agencies seeking premier talent solutions.  
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+An 12-time honoree by Inc. 5000 as one of the Fastest-Growing Private Companies in the US, Compunnel facilitates businesses in multiple sectors to secure top-tier talent and cutting-edge technology solutions. We specialize in Software Development, Cloud Services, Data Analytics, AI & Machine Learning, Cybersecurity, and  Recruitment Solutions in IT, Non IT & for Public Sector. Our AI-powered, intelligent solutions are at the core of our digital offerings, driving smarter decision-making and empowering organizations to bridge the gap between their current and desired states with precision, speed, and  a measured approach. For over three decades, we have been the leading choice of more than 23% of Fortune 500 companies for their technology and talent needs.   
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+As a recognized Minority Business in the US and Canada, we champion diversity and inclusivity, ensuring equal opportunities for talent from diverse backgrounds. Our robust partnerships with technology leaders like AWS, Microsoft, UiPath, and Google Cloud reflect our commitment to pioneering AI-driven innovations and establishing centers of excellence for our Fortune 500 clients worldwide.  
+
+ ","Machine Learning Engineer - W2 roleRequirements:Bachelor's or Master's degree in Computer Science, Engineering, or a related fieldMinimum of 5-7 years of experience in ML Ops, DevOps, or related rolesStrong knowledge of AWS services and tools related to ML Ops, such as SageMaker, Step Functions, Lambda, and CloudFormationHands-on experience building and deploying ML models in production using AWSProficiency in Python and/or other programming languages commonly used in ML, such as R, Java, or ScalaFamiliarity with containerization technologies such as Docker and KubernetesExcellent problem-solving skills and attention to detailAbility to work independently as well as in a team environmentStrong communication skills and ability to explain technical concepts to non-technical stakeholders",Mid-Senior level,Machine Learning Engineer
+273,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.AboutThe Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where """"there are no hard-to-sell, overpriced products.""""Responsibilities Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition. Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow. Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.QualificationsMinimum Qualifications Bachelor or advanced degree in computer science or a related technical discipline. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.Preferred Qualifications 3+ years of work experience in machine learning. Good product sense with a focus on user experience. Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $112000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer, Search Recommendation"
+274,2025-03-26,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged.Our TeamThe Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.Ads Inventory Management & Forecasting team builds state-of-art realtime inventory forecasting solution leveraging ML models and high performance ad server simulations. The team also builds systems that enable publisher inventory management solutions, which supports various monetization strategies such as dynamic pricing, rate card management, product packaging, inventory split and yield optimization.Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.Skills & Experience We’re SeekingExperience in building end-to-end ML model deployment and inference infra for low-latency real-time ad systems.Experience in handling data at extremely large volumes with big data tools like Spark.Productionized predictive models to forecast the effectiveness of advertising campaigns, including metrics like impressions, reach, clicks, conversions, and ROI.Building Scalable Simulation solution to model different inventory scenarios, including demand fluctuations, pricing strategies, and inventory allocation.Familiar with ads budgeting and pacing systems, models, and algorithmsGeneral understanding of the advertising marketplace and landscape, with a focus on publisher side challenges like optimizing fill rates and maximizing revenue in the context of inventory management.Collaborate with cross-functional stakeholders from science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scaleNice To HavesGood understanding of Lucene index and had experience building Lucene index with large volume of data.Familiar with publisher-side ad tech systems including ad servers, bidders, yield optimizers, and their demand-side counterparts (SSPs/DSPs)Experience in yield optimization, product recommendation and dynamic allocation of direct/programmatic guaranteed and non-guaranteed inventoryContributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, working group etc.Familiarity with legal compliance and changing landscape of ads regulations around the world.Experience working in the CTV space and knowledge of its unique constraintsOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.Netflix is a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Machine Learning Engineer (L5 - Senior) , Ads Inventory Management & Forecasting"
+275,2025-04-01,New York,,Quantix Search,,"Quantix Search is a specialised talent acquisition firm dedicated exclusively to AI and Data Science hiring across the US market. 
+
+We partner with forward-thinking technology companies to build high-performing teams, delivering bespoke talent solutions and invaluable market insights.
+
+Our approach is deeply relationship-driven, focusing on building lasting, successful partnerships with our clients. We are committed to adding value at every step of the recruitment process, ensuring that we understand and align with your unique needs and goals.
+
+In the complex and rapidly evolving fields of AI and Data Science, attention to detail and a deep understanding of market trends are crucial. We are committed to excellence, delivering precise, high-quality matches that meet your unique needs. Our partnerships range from innovative start-ups to large corporations, each benefiting from our strategic advantage and deep market intelligence.
+
+Email: greg.evans@quantixsearch.com","🚀 Machine Learning Engineer 📍 San Francisco, CA (On-site) 💵 $150k - $240k + EquityAbout the Company:Our client is an exciting AI startup working to solve a critical problem in the industry: transforming complex, unstructured documents such as PDFs and spreadsheets into LLM-ready inputs with exceptional accuracy. Their technology is already being used by hundreds of companies, from startups to Fortune 10 enterprises, processing millions of pages each month.With a rapidly growing team and a focus on innovation, the company is scaling their product offerings and looking for talented Machine Learning Engineers to join their founding team. If you are passionate about machine learning and want to make a real impact on the future of AI, this is the opportunity for you!About the Role:As a Machine Learning Engineer, you will play a key role in shaping the development of the company’s core technology. Your responsibilities will include:Training and deploying state-of-the-art models for parsing and interpreting unstructured data.Experimenting with novel techniques to improve the accuracy of LLMs.Building data pipelines, evaluating model performance, and integrating models into the product.Working closely with the founding team and customers to shape the product direction and engineering strategy.What We’re Looking For:2-5 years of experience in machine learning engineering, with a focus on training, fine-tuning, and evaluating models used in production systems.Exceptional skills in Python and experience with computer vision and vision-language models (VLMs).Experience in API integration and building your own tools (e.g., quick apps like Streamlit to test hypotheses or create datasets).A quantitative approach to product development, with the ability to debug, experiment, and iterate quickly.High standards for quality and the ability to take ownership of projects from ideation to shipping.Bonus Points If You:Have founding experience or have worked at an early-stage startup, helping shape products at their core.Stay up to date with the latest developments in ML/AI.Are highly ambitious and driven, passionate about working with great people and creating great products.If you're looking for an exciting opportunity to work on complex machine learning problems and make an impact from day one, apply today!",Mid-Senior level,Machine Learning Engineer
+276,2025-04-01,Mountain View,CA,Contextual AI,https://contextual.ai,"Contextual AI is the leader in retrieval-augmented generation (RAG). Founded by the pioneers of RAG, Contextual AI’s mission is to change the way the world works through AI. 
+
+The Contextual AI platform empowers enterprises to build specialized RAG agents for expert knowledge work. Fortune 500 companies, such as HSBC and Qualcomm, rely on Contextual AI to boost productivity for thousands of their subject-matter experts. 
+
+You can learn more and explore open roles at contextual.ai","About the roleAs a Member of Technical Staff specializing in Applied Research, you will work on state of the art research and applying that to production systems for RAG 2.0 (Contextual Language Models + Fine Tuning + Alignment).What you'll doWork on and do research in state-of-the-art retrieval augmented language models as well as fine tuning and preference alignment. Collaborate closely with ML researchers, product managers, and designers to understand requirements and translate them into technical solutions.Integrate this research into the product through Software Development. Architect and build scalable and efficient backend services, APIs, and databases to support the platform's functionality and performance requirements. Ensure seamless integration with machine learning models and pipelines, enabling efficient model deployment and management. Collaborate with cross-functional teams to continuously improve the platform's functionality, usability, and user experience. Stay up-to-date with industry best practices, emerging technologies, and advancements in machine learning and software development. Mentor and provide technical guidance to junior team members, promoting knowledge sharing and professional growth. What we're seekingBachelor's degree in Computer Science, Software Engineering, or a related field. Master's or PhD preferred. Detailed knowledge of machine learning concepts and frameworks. Language Models and NLP experience is a plus. Strong Proficiency in programming languages such as Python, JavaScript, or Java and in backend software development. Experience with cloud platforms, such as AWS, Azure, or GCP, and familiarity with deploying applications on the cloud. Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. Excellent communication and interpersonal skills, with the ability to work closely with cross-functional teams. Location: Mountain View, CASalary Range for California Based Applicants: $150,000 - $400,000 + equity + benefits (actual compensation will be determined based on experience, location, and other factors permitted by law).Equal EmploymentContextual AI provides equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, physical or mental disability, military or veteran status, genetic information, or any other protected classification. Equal employment opportunity includes but is not limited to, hiring, training, promotion, demotion, transfer, leaves of absence, and termination. Contextual AI takes allegations of discrimination, harassment, and retaliation seriously, and will promptly investigate when such behavior is reported.",Entry level,Machine Learning Engineer
+277,2025-03-18,San Francisco,California,Stream,http://www.stream.claims,"Stream's revolutionizes the $50B workers' compensation industry through AI-powered solutions that reduce time, cost, and error in medical document management. Our products, built by former claims adjusters and insurance professionals, empower healthcare professionals, insurers, and attorneys to streamline manual document workflows.","Stream’s Mission: Cut the time, cost, and hassle of managing 10B+ medical documents in workers’ comp, so professionals can focus on results, not paperwork.We’re growing fast and are looking to bring on a Machine Learning Engineer to scale our platform and elevate our product, ensuring top-notch service for our customers.Before ApplyingWe are in-person and work from the office 4 days a week in the Mission districtAs an early-stage startup, Stream offers you unmatched autonomy and ownership. You’ll need to make quick decisions with minimal guidance, often stepping into roles like product manager, engineer, or even sales and ops as we grow.We’re a team in our 30s, not college dropouts, and we care about work-life balance. That said, the startup life means going beyond 9-5 when the situation calls for it—which happens often.The Job: As a Machine Learning Engineer you are expected to develop and deploy machine learning models to production on a regular basis, contributing to our mission of streamlining medical document management in the workers' compensation industry. You will also play a key role in shaping our AI strategy and processes as we grow.In This Role, You WillDesign and implement machine learning solutions to process and extract insights from medical documentsIntegrate these models into our existing backend infrastructureStay current with the latest advancements in machine learning and AI to continuously improve our productOur Tech Stack IncludesServerless computing with AWS Lambdas and Fargate (Python)CDK and GitHub actions for CI/CDDynamoDB and Redshift for data storageSvelt (Typescript) + SST for web applicationsVarious large language models (LLMs), embedding models, and traditional AI modelsBenefits: In addition to health/dental/vision insurance and 401k benefits, we provide daily lunch, monthly outings, and a group of extremely passionate, curious and smart people to work with",Entry level,Machine Learning Engineer
+278,2025-01-29,Santa Clara,CA,Tiger Analytics,http://www.tigeranalytics.com,"In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. 
+
+Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. 
+
+If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.","Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!What You'll Do:Collaborate with cross-functional teams to design and deploy ML models. Develop reusable, scalable code for AI/ML applications. Leverage GCP services to build end-to-end machine learning pipelines. Optimize models for performance and scalability using Vertex AIRequirementsKey Requirements: Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools.  Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI.  Model Development & Deployment: Proven ability to design, build, and productionize machine learning models.  API Development: Skilled in developing robust APIs for seamless integrations.  Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us?Work remotely while contributing to cutting-edge projects. Collaborate with a dynamic team passionate about AI/ML innovation. Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that's shaping the future of AI!BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.",Mid-Senior level,Machine Learning Engineer
+279,2025-04-02,Huntington Beach,California,Layup Parts,www.layupparts.com,Layup manufactures composite parts and the tooling to make those parts.  We are developing tools that will put parts in our customers hands faster than has previously been possible.  Our goal is to ship parts faster than our competition can return a quote.,"Layup Parts is a startup that manufactures composite parts and the tooling to make those parts. Our mission is to ship parts faster than our competition can return a quote.We utilize the latest technology to reshape the composites industry by manufacturing high quality composite parts faster and more affordably than anyone else. Our customers are developing tomorrow's high tech products, and we are building technology to accelerate their success using scalable automation.We are also a team of experienced founders, product leaders, and engineers who have built and supported some of the fastest-growing brands in the US. We have raised funding from advisors and institutional investors, including Founders Fund, Lux Capital and Haystack.About the Role:We are looking for highly motivated fresh graduate, preferably with a CS major, to join our team as a key member of our growing engineering function. This individual will partner closely with our CTO and other founders and work directly with team members, and advisors.This is a high-impact role that presents a unique opportunity to make decisions that shape the technical trajectory of Layup. You are an ideal candidate if you are looking to join an exceptional team and play a significant role in the growth and success of an early-stage startup.What you will do:Build out our factory operating systemDesign interfaces for production machinery to capture real time dataCollaborate and create new features for our customer portalDevelop internal tools and improving manufacturing processes with automationRequired:Being awesome! Be the kind of person you want to work with!Very strong engineer with exceptional ability driven by engineering fundamentalsAbility to quickly understand and navigate complex systems and established code basesPreferred:Experience with Go, React TS or RustExperience designing software related to 3D part representations or manipulation in a CAD/CAM program or similarFamiliarity with customer facing software applicationsExperience regarding manufacturing or part design (especially composites)Good understanding of the mechanical and manufacturing worldEquity & Benefits",Not Applicable,Software Engineer (New Grad)
+280,2024-09-14,New York,,Output Biosciences,https://outputbio.com,Output is pioneering Biologically-Aware Generative AI to finally understand complex biological systems and generate breakthrough medicines.,"The RoleJoin us in creating biological reasoning and building foundational models for systems biology, harnessing generative AI to revolutionize our understanding and programming of biology from molecules to organisms. As a Machine Learning Engineer, you'll work alongside our founders and team members to develop and implement cutting-edge AI systems capable of complex biological reasoning across multiple scales.You will design and implement advanced machine learning algorithms to enhance model performance and biological understandingYou will develop and fine-tune generative models for biological applications, exploring innovative architectures to capture the complexities of multi-scale biological systemsYou will work on distributed training systems to scale our models to billions of parameters, optimizing for performance and efficiency across multi-GPU and multi-node setups while handling large-scale biological datasetsYou will engineer efficient data pipelines to manage and process massive biological datasets, addressing challenges in data loading, splitting, and memory optimizationYou will develop and implement robust evaluation frameworks for complex biological models, ensuring data integrity and preventing leakage across dataset splitsWho We're Looking ForYou have a Bachelor's in Computer Science, Machine Learning, or a related technical fieldYou have 3+ years of experience in developing and implementing machine learning modelsYou are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX)You have experience with deep learning and generative architectures such as transformers, diffusion models and autoencodersYou are skilled in working with large-scale datasets and distributed computing environmentsYou are skilled in scaling models and working with large-scale datasets and distributed computing environments, including experience with AWS for training, inference and deploymentYou have a strong understanding of machine learning fundamentals, including various model architectures, optimization techniques, and evaluation metricsYou have experience in designing and implementing efficient data pipelines for processing and managing large datasetsYou are experienced in developing robust evaluation frameworks and ensuring data integrity in machine learning projectsYou are experienced in code organization, version control, and collaborative software development practicesYou have excellent problem-solving skills and the ability to quickly adapt to new challengesYou exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving themYou have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertaintyYou have excellent communication skills and can clearly articulate complex technical conceptsYou are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativityBonus pointsYou have experience applying machine learning to biology or chemistryYou have contributed to open-source machine learning projects or published research papers in the field of AI/MLYou have experience optimizing machine learning models for high-performance computing environmentsYou are familiar with ML-Ops practices and tools for managing ML experiments and deploymentsOur Values❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of our patients and the broader community.📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.🎮 Fun: We believe that life is too short to not have fun. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling.What We OfferWe encourage new and different ideas, creativity and contrarian thinking. We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark!You own your day-to-day management. We don't care when or where you work, we care if we all hit our milestones.Competitive salary and equity in a growing, well-funded startupExcellent medical, dental, and vision coverageHealthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you",Entry level,Machine Learning Engineer
+281,2025-03-21,Foothill Ranch,California,"Gatekeeper Systems, Inc.",http://www.gatekeepersystems.com,"Gatekeeper Systems’ expanded product suite of intelligent cart solutions offers solutions for EVERY retailer’s needs to minimize merchandise loss and reduce asset and labor expenditures.
+Gatekeeper’s loss prevention and cart containment solutions utilize patented locking technology to put an end to cart-based shoplifting, shopping cart loss, and uninformed decision-making. Cart management solutions increase safety and reduce labor costs by maximizing productivity while simultaneously resulting in a positive store image.
+Intelligent pushout theft prevention solutions stop thieves and their cart full of unpaid merchandise from leaving the store. Customizable technology allows retailers to defend their entire store or just a high loss department based on the store’s unique layout.
+Business Intelligence solutions provide increased visibility for informed decision making. Increase efficiency, optimize fleet size, and perfect the entire customer shopping experience with store and enterprise-level analytics.
+
+Contact 888.808.9433 or info@gatekeepersystems.com to learn more.
+","Gatekeeper Systems stands proudly as the foremost global leader in retail loss prevention, operations management, and analytics, with our headquarters based in Foothill Ranch, California. We maintain a strong presence across the globe, with offices in the UK, Australia, China, Hong Kong, Germany, France, and Canada, fostering a diverse team of 450 talented employees. Over the past 25 years, Gatekeeper Systems has been at the forefront of the industry, demonstrating our commitment to excellence through cutting-edge technologies and unparalleled customer service. Join us on our journey as we continue to revolutionize the retail sector, providing innovative solutions and services that redefine industry standards.POSITION SUMMARY:We are looking for a highly skilled Machine Learning and Artificial Intelligence Engineer to design, develop, and implement AI-driven solutions that enhance our products and services in the Retail Theft Prevention domain. The ideal candidate should have a strong background in machine learning, with expertise in both supervised and unsupervised methodologies. A solid understanding of traditional machine learning techniques such as decision trees and SVNs, as well as deep learning approaches, is highly preferred.A key advantage would be the ability to optimize machine learning models for efficient deployment on edge devices, ensuring performance and scalability in real-world environments. Additionally, experience in data transformation and preprocessing is desirable, particularly the ability to structure and adapt data for seamless integration with machine learning models.This role offers the opportunity to work on cutting-edge AI solutions that drive innovation in computer vision, anomaly detection, and predictive analytics within the retail security landscape.WHAT WE OFFER…Join the team at Gatekeeper Systems and watch your career grow! We offer competitive compensation and benefits packages that include:Attractive Total Compensation Package, including annual bonusComprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options.401(k) Plan with Employer MatchGenerous Paid Time Off (PTO) policyObservance of 11 paid company holidays Various Employee Engagement EventsExciting Growth OpportunitiesPositive Company CultureESSENTIAL JOB FUNCTIONS; but not limited to:Design and implement real-time object detection, tracking, and classification solutions using machine learning and computer vision techniques.Optimize models for real-time processing on various platforms, including edge devices, cloud-based systems, and embedded hardware, ensuring low-latency performance.Develop and manage end-to-end machine learning pipelines to automate and optimize data curation, preprocessing, and model training workflows.Implement automation tools and monitoring frameworks to track model performance, detect anomalies, and streamline updates.Design, develop, and deploy unsupervised machine learning models to identify anomalies and irregular patterns in system operations, data streams, or user behaviorDesign and implement models to detect, diagnose, and resolve system issues.QUALIFICATION REQUIREMENTS The requirements listed below are representative of the knowledge, skill and/or ability required.Strong knowledge of algorithm development and data structures.Proficiency in TensorFlow Lite and model quantization.Ability to thrive in a fast-paced environment and handle complex, evolving requirements.Track record of innovative problem-solving and a willingness to explore unconventional approaches.Exemplifies professionalism in all aspects of day-to-day duties and responsibilities.Self-aware and open to learning about personal effectiveness in the workplace.Exhibits a positive attitude toward the vision, policies, and goals of Gatekeeper Systems.Constantly strives to improve performance and effectiveness of the team and the company.EDUCATION AND/OR EXPERIENCEMaster’s degree (preferred) in CS, CE, ML or related field experience3+ years of building models for edge deployment for camera-based object detection and classificationExperience programming in Python (preferred) or C/C++Experience with deep learning frameworks like PyTorch or TensorFlow.Experience working with MobileNetV2 and YOLOv8 models.Experience with Google Cloud Platform and cloud-based AI workflows.PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Repetitive motions and routine use of standard office equipment such as computers, telephones, copiers/scanners and filing cabinets.Ability to see, speak, walk, hear, stand, use of hand/fingers to handle or feel; climb stairs, stoop, carry/lifting up to 5O lbs.Ability to sit at a desk.Specific vision abilities required include close vision, color vision, peripheral visions, depth perception and the ability to adjust focus.DISCLAIMERThis Job Description is a general overview of the requirements for the position. It is not designed to contain, nor should it be interpreted as being all inclusive of every task which may be assigned or required. It is subject to change, in alignment with company/department needs and priorities.Gatekeeper Systems, Inc., is an equal opportunity employer. We are committed to developing a diverse workforce and cultivating an inclusive environment. We value diversity and believe that we are strengthened by the differences in our experiences, thinking, culture, and background. We strongly encourage applications from candidates who demonstrate that they can contribute to this goal. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any protected basis.",Mid-Senior level,AI & Machine Learning Engineer
+282,2025-04-08,Santa Clara,California,AMD,http://www.amd.com,"We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 
+AMD together we advance_ ","WHAT YOU DO AT AMD CHANGES EVERYTHINGWe care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.AMD together we advance_Sr. Development Engineer -- ML Training and PerformanceThe RoleWe are looking for a Machine Learning Engineer to join our Models and Applications team. If you are excited by the challenge of distributed training of large models on a large number of GPUs, and if you are passionate about improving training efficiency while innovating and generating new ideas, then this role is for you. You will be part of a world class team focused on addressing the challenge of training generative AI.The PersonThe ideal candidate should have experience with distributed training pipelines, be knowledgeable in distributed training algorithms (Data Parallel, Tensor Parallel, Pipeline Parallel, ZeRO), and be familiar with training large models.Key ResponsibilitiesTrain large models to convergence on AMD GPUs.Improve the end-to-end training pipeline performance.Optimize the distributed training pipeline and algorithm to scale out.Contribute your changes to open source.Stay up-to-date with the latest training algorithms.Influence the direction of AMD AI platform. Collaborate across teams with various groups and stakeholders.Preferred ExperienceExperience with ML frameworks such as PyTorch, JAX, or TensorFlow.Experience with distributed training and distributed training frameworks, such as DeepSpeed.Experience with LLMs or computer vision, especially large models, is a plus.Excellent Python programming skills, including debugging, profiling, and performance analysis.Experience with ML pipelines.Strong communication and problem-solving skills.Academic CredentialsA Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.LOCATION:San Jose, CAAt AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.",Mid-Senior level,Machine Learning Engineer
+283,2025-04-05,San Jose,California,Roku,https://www.weareroku.com/,"With the #1 platform for streaming television in the U.S., Roku wants to revolutionize the way the world watches TV. 
+
+Our Roku-branded TVs, Roku TV models, Smart Home system, streaming players, audio equipment, and the purpose-built operating system that powers it all can turn any home into a home theater, with seamless integration of hardware and software. Our commitment to our users extends to our brand studio, which creates innovative Roku Originals exclusively for The Roku Channel, a free channel that reaches approximately 80 million households in the U.S. and Mexico.   
+
+Join us and you'll have the chance to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. Be a part of shaping the future of streaming at weareroku.com. ","Teamwork makes the stream work.Roku is changing how the world watches TVRoku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.  About the teamThe Core Analytics Team is a centralized function to provide data-driven insights to business and products. We collaborate closely with our Product and Engineering teams to deliver the best experiences to our customer and maximize the value proposition for the business. About the role Roku is looking for a Sr. Data scientist to join the Core Analytics team to support our experimentation platform. This individual will be responsible for helping to scale Roku’s experimentation capabilities, exploring and implementing scalable and robust statistical methods that can apply to a broad range of experimentation problems. The successful candidate will help build tooling for engineers, product managers, and marketers to self-serve their own experiments and establish experimentation best practices across Roku. This individual will work closely with product management and data engineering and software engineer to identify opportunities to create new features, drive their adoption. This individual will investigate and develop solutions to track, monitor and improve our Experimentation ecosystem. The successful candidate is quantitatively driven, well versed in experimentation and advanced statistical methods, detail-focused, and possesses an elevated level of problem-solving expertise. For California Only - The estimated annual salary for this position is between $132,000-$254,000 annually.  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.  This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.Roku will be accepting applications for this position until May 27, 2025 [or until the position filled].What you'll be doing Help shape the roadmap to drive experimentation at Roku Define the standard for statistical analysis across varying types of experiments and units of analysis ensuring robust results with minimal bias Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like bayesian inference and causal methods to optimize complex strategies Develop necessary data pipelines to power automation, validation and reporting Collaborate with stakeholders to align data science initiatives with organizational goals and strategy Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback   We're excited if you have 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, Computer Science, or other quantitative field)  Strong statistical acumenHands on experience on experimental design, A/B testing, causal inference and statistical modeling/forecasting Expertise in SQL, SAS, R, Python or other programming languages to query data and perform analysis Hands on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment The ability to effectively communicate with technical and non-technical business partners alike, and who are interested in building strong cross-functional relationshipsA desire to question the status quo and promote innovative solutions to challenging problems  BenefitsRoku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku CultureRoku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.",Mid-Senior level,"Senior Data Scientist, Experimentation"
+284,2025-04-06,Mountain View,California,Codeium,codeium.com,"At Codeium, we're rewriting the future of software development. As the creators of Windsurf, the first agentic IDE, we're using cutting-edge AI to build the modern coding superpower.
+
+We believe there are too many parts of the traditional coding workflow that are boring, tedious, or downright frustrating. From regurgitating boilerplate to poring through StackOverflow, we know YOU deserve better. 
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+So, our mission is clear: empower developers to dream bigger. Beyond manual tasks, we're creating seamless flows to turn your ideas into code, all within an AI-collaborative environment. Ready to unlock your coding potential?","We're looking for an ML research-focused software engineer to join us on our mission to build AI superpowers for developers.About UsFeatured on the Forbes AI 50 list, Windsurf (formerly Codeium) has risen to become a leader in the AI developer tools space in just over a year, giving hundreds of thousands of users around the world code autocomplete, in-editor chat assistants, and more. our IDE plug-in span 70+ programming languages and 40+ editors. Our state-of-the-art proprietary language models and custom inference stack allow us to deliver the best experience possible to our users. We've achieved substantial revenue and enterprise traction as proof of the quality and usefulness of our tools.We're one of the fastest growing AI startups, focused on product, revenue, and customer experience. We work hard, and we operate with a high degree of trust, agency, and ownership.What You'll DoTrain and fine-tune large language modelsNavigate high levels of uncertainty and prioritize high-value ML experiments to maximize product impactDemonstrate initiative and the ability to start and make progress on projects independentlySwiftly design, track, and analyze experiments results. Meticulously document findings, conduct ablation studies, and synthesize data into actionable insights.Participate in the ML reading group and level up the team's knowledge of LLM training and infrastructureAbout YouStrong software engineering skills. There are no pure research scientists at the company.Strong grasp of the feasibility frontier of CS, AI, and LLMs, from H100 bandwidth to GPT-4 capabilities to vector database performance.Deep curiosity about the code generation problem. Willingness to constantly re-examine priors in the face of new discoveries.Skilled in transforming successful experimental outcomes into robust, scalable features for the core product offeringExperience training and iterating on large production neural networks in any domain (self-driving, language models, etc.) is a strong plusFamiliarity with AI-powered developer tools like Windsurf, Copilot, ChatGPT, and others is a strong plusWhat We BelieveOur best work is done in person. The team goes in 5 days a week into our office in downtown Mountain View, CA (within walking distance of the Caltrain station).Research is in service of a better product. While we read many papers, we won't have time to write them. The best AI researchers have excellent software engineering skills and know that infrastructure and evaluation work are critical.Recent projectsSome of the things that our research-focused software engineers have worked on recentlyRegularly deploying an autocomplete and chat product that scales to hundreds of thousands of daily active users.Instruction and edit fine-tuned models for Windsurf Plugin Command.Realtime context retrievalCodebase fine-tuning",Entry level,"Software Engineer, ML Research"
+285,2025-03-25,Palo Alto,California,LandingAI,http://landing.ai,LandingAI provides a cutting-edge software platform that enables computer vision easy for a wide range of applications across all industries.,"LandingAI™ delivers cutting-edge Visual AI solutions that empower customers to unlock the value of visual data. With visual data sets, companies realize the value of AI and move AI projects from proof-of-concept to production. Guided by a data-centric AI approach, LandingAI’s flagship product, LandingLens™ is a Visual AI platform that enables users to build, iterate, and deploy Visual AI solutions quickly and easily. With data quality being key to the success of production AI systems, LandingLens™ allows users to achieve optimal data accuracy and consistency. Additionally, LandingAI is a pioneer in the field of Large Multimodal Models (LMM) which enhance the ability to process and understand visual data at scale, making sophisticated Visual AI tools more accessible and efficient. Founded by Andrew Ng, co-founder of Coursera, founding lead of Google Brain, and former chief scientist at Baidu, LandingAI is uniquely positioned to lead the development of AI from a technology that benefits a few to a technology that benefits all.As a key member of our collaborative team, you will work on developing AI-driven solutions within our VisionAgent and LandingLens products. Your responsibilities will include staying up-to-date with the latest research in the field, testing new techniques, and potentially integrating cutting-edge advancements into our products. Additionally, you will be involved in constructing and curating datasets, testing machine learning models and agentic frameworks, and fine-tuning these frameworks to improve performance and effectiveness.What You’ll Do:Apply Machine Learning: Work with machine learning models, algorithms, and data to solve real-world problems related to computer vision and other AI tasks.Collaborate with Teams: Partner with engineers, data scientists, and other stakeholders to ensure smooth integration of AI solutions into our products.Backend Development: Contribute to building backend systems, including working with databases, APIs, and other backend services, ensuring they support our AI systems effectively.Continuous Learning: Stay updated with the latest advancements in machine learning and contribute ideas for improving our solutions.Support the Team: Assist senior team members in the development, testing, and optimization of machine learning models and systems.What We’re Looking For:Education: A degree in Computer Science, Engineering, Data Science, or a related field and 2-3 years of work experience.Machine Learning Knowledge: Solid understanding of machine learning concepts, including having worked on machine learning models or taken related courses.Software Engineering Skills: Experience with coding (preferably in Python or similar languages), basic backend systems, and databases. Familiarity with web services or APIs is a plus.Collaboration & Communication: Strong interpersonal skills and the ability to collaborate effectively with team members. Comfortable discussing technical ideas and learning from others.Curiosity & Problem-Solving: A passion for learning and a desire to work on complex, impactful problems.Location & Work Environment: Must be located in the Bay Area and available to work from our Palo Alto office at least three days a week.Why Join Us?Impactful Mission: Be at the forefront of a transformative industry, shaping the future of Visual AI.Cutting-Edge Work: Work on challenging, high-impact problems with the latest advancements in AI research.Collaborative Culture: Join a team that values innovation, growth, and making a meaningful difference for our customers.Leadership Opportunity: Lead and grow an exceptional team, driving the next generation of AI solutions.Landing AI Benefits: Health: Our people and their dependents* are covered by comprehensive medical, dental, and vision plans.Wellness: We offer a fitness stipend to be used on well-being and fitness programs.Lifelong learning: With an education stipend, you are encouraged to keep learning and growing.PTO: We provided generous paid time off* so you can strive toward a balanced lifestyle.Retirement: We offer a 401k matching plan to help you plan for your future!Events: We love having fun! We set up regular virtual and in-person events to connect with each other.Global Citizen: Our people reside in North America, Latin America, and Asia. Come and join our global network!*Subject to country of employmentSalary Range:$155,000 - $175,000 a yearOur salary ranges are determined by role, level, and location, and your recruiter can provide specific details during the hiring process.We are headquartered in Palo Alto CA. While we are open to remote workers in the U.S. as long as you are GMT -8/PT time zone, local and active presence is a significant plus (SF Bay Area or Seattle/Bellevue preferred).",Mid-Senior level,Machine Learning Engineer
+286,2025-04-09,London,England,Orbis Group,http://www.weareorbis.com,"We are Orbis Group. 
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+We work with brands that are passionate about tech, diversity, community and change. 
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+Our vision is to be the premier source for identifying and connecting excellence across financial services, life sciences and technology.
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+We are people specialists. Our mission is to continuously define and identify excellence; refined to exact requirements through the rewarding experience of better partnerships.
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+This is connecting excellence.
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+Email: info@weareorbis.com
+London: 0203 854 0024
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+To view live roles and to register with us, visit www.weareorbis.com","AI/Machine Learning (ML) Engineer – New York (Hybrid) – Competitive Salary + Equity + Opportunity to work with an Ambitious, Rapidly-Growing Start-UpThis young, early-stage start-up challenger are currently looking for Founding AI/ML Engineers to join their small team and help drive the business forwards. This is an excellent opportunity for an experienced AI/ML Engineer with founding/small start-up experience to take that next step into an exciting position with a very well-run and ambitious organisation in an innovative, exciting space.This young and agile company are building cutting-edge AI platforms. They are in a unique space where there is an opportunity for them to gain significant market share very quickly.  About the Company: This very young company who were founded less than 2 years ago have taken big strides in their space already!With their ambitious product vision in AI and ML, you will tackle interesting technical challenges that push the boundaries of what’s possible. There is the opportunity to work within a complex codebase, own entire product points, and build new features end-to-end.They work on building GenAI software to help accelerate organizations.Everything they do is entrenched in achieving engineering excellence.They are a meritocratic, mission-driven organization focused on technical excellence, practical innovation, and meaningful impact with the aim of solving real problems through cutting-edge AI technology.Their culture is not corporate, and they like to trust their employees to take on a lot of responsibility and have input into the shape of growth of the organisation. About the AI/Machine Learning (ML) Engineer Vacancy:As an AI Software Engineer, you will be at the forefront of developing AI solutions.You will architect and implement the core AI systems that power their platform, from sophisticated documentation automation to intelligent workflow optimization.Key Responsibilities:• Design and implement production-scale AI systems with a focus on reliability and realworld performance• Lead technical architecture decisions for our AI/ML infrastructure• Build and optimize LLM-powered features using state-of-the-art techniques including RAG and custom fine-tuning• Develop robust evaluation frameworks and monitoring systems for AI model performance• Collaborate with domain experts to translate complex clinical requirements into technical solutions• Design and maintain data pipelines for model training and inference• Implement and maintain production ML systems with high reliability requirementsIdeal Requirements for the AI/Machine Learning (ML) Engineer Vacancy:Core AI/ML Expertise:• Strong theoretical foundation in machine learning algorithms and deep learning architectures• Several years of software engineering experience, with some of that specifically in AI/ML development• Deep expertise in Transformer models (BERT, GPT) and their practical applications• Extensive experience with RAG (Retrieval-Augmented Generation) systems• Strong background in prompt engineering and LLM optimization• Proven track record of implementing and scaling production AI systems• Expertise in Python and major ML frameworks (TensorFlow, PyTorch)• Experience with model evaluation, A/B testing, and establishing robust evaluation frameworksSoftware Engineering & Infrastructure:• Strong experience with Cloud platforms (AWS, GCP, Azure) and their AI/ML services• Expertise in building and maintaining Data Pipelines• Experience with containerization (Docker, Kubernetes) and Microservices Architecture• Strong background in API design and development• Proficiency with SQL (Postgres) and NoSQL databases• Experience with monitoring and observability tools (e.g., Datadog, CloudWatch)Product & Domain Knowledge• Regulated industry experience is a major plus• Understanding of Compliance and Data Security requirements• Strong product sense and ability to scope features based on impact and feasibility• Experience working in fast-paced environments with evolving requirements What Makes You Stand Out:• Experience deploying AI systems • Open source contributions to AI/ML projects• Background in data systems• Experience with MLOps and production ML system maintenance• Track record of mentoring other engineersApply to the Role: Roles like these are snapped up very quickly, so act now if you do not want to miss out! Reply to this advert or email your CV to richard@weareorbis.com",Mid-Senior level,"AI/Machine Learning (ML) Engineer – New York (Hybrid) – Competitive Salary + Equity + Opportunity to work with an Ambitious, Rapidly-Growing Start-Up"
+287,2025-03-31,San Francisco,CA,Instacart,https://www.instacart.com,"Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop. The company partners with more than 1,500 national, regional, and local retail banners to facilitate online shopping, delivery and pickup services from more than 85,000 stores across North America on the Instacart Marketplace. Instacart makes it possible for millions of people to get the groceries they need from the retailers they love, and for approximately 600,000 Instacart shoppers to earn by picking, packing and delivering orders on their own flexible schedule. The Instacart Platform offers retailers a suite of enterprise-grade technology products and services to power their e-commerce experiences, fulfill orders, digitize brick-and-mortar stores, provide advertising services, and glean insights. With Instacart Ads, thousands of CPG brands – from category leaders to emerging brands – partner with the company to connect directly with consumers online, right at the point of purchase. With Instacart Health, the company is providing tools to increase nutrition security, make healthy choices easier for consumers, and expand the role that food can play in improving health outcomes. For more information, visit www.instacart.com/company. ","We're transforming the grocery industryAt Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.OverviewAbout the Role:As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart's ads systems. You will use machine learning to devise and refine solutions in crucial areas such as ads selection, ranking, auction, and pricing across all of Instacart’s consumer facing pages like Search, storefront, aisle, pre and post checkout experiences, among many others. You will actively contribute to initiatives, assisting in all stages from the initial concept, through prototyping and experimentation, to final implementation.About The TeamThe Ads Response Prediction team owns all systems, algorithms and ML models to ensure a relevant and engaging Ads experience to customers of all the platforms powered by Instacart. This includes search and exploration retrieval systems, sequential modeling and generative retrieval systems for next interaction recommendations, LLM integrations, relevance models, pCTR models, bidding models and incrementality models. The team optimizes for an efficient marketplace to ensure customers see ads that help them try new products/brands, advertisers boost their product sales for a good return on investment, and instacart generates the deserving revenue as well.About The JobDesign, develop, and deploy machine learning solutions including data pipelines, model architectures and serving integrations to tackle practical challenges in the ads organization.Collaborate closely with product managers, data scientists, and infrastructure engineers to deeply understand business needs and create impactful ML applications.Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.About YouMinimum Qualifications:Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, recommendation systems or equivalent self study and experienceHave strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and Machine Learning (scikit-learn, XGBoost) and Deep Learning (Torch, Keras/Tensorflow) tools. Acquaintance or willing to learn GoLang.Have strong analytical skills and problem-solving abilityAre a strong communicator who can collaborate with diverse stakeholders across all levelsPreferred QualificationsHave 1-2 years of industry experience using machine learning to solve real-world problems with large datasetsKnowledge of sequential modeling, Transformer architecture and generative retrievalFamiliarity with LLM integrations, prompt engineering and productivity toolingExperience in building large scale online recommendation systemsInstacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.For US based candidates, the base pay ranges for a successful candidate are listed below.CA, NY, CT, NJ$179,000—$199,000 USDWA$172,000—$191,000 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$165,000—$183,000 USDAll other states$149,000—$165,000 USD",Entry level,Machine Learning Engineer II - Ads Response Prediction
+288,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Level 5"
+289,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+290,2025-03-23,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team IntroductionOur team is pioneering the future of large language model-based applications with a focus on developing long-term memory capabilities and delivering personalized chat, search, and recommendation experiences. We're leveraging our deep expertise in artificial intelligence to create advanced AI algorithms that can understand, learn, and predict, dramatically enhancing user interactions. Our mission is to revolutionize how we engage with machines, making them more intuitive and human-like than ever. With a relentless commitment to excellence and a profound understanding of AI, we are setting new standards and pushing the boundaries of what language model-based applications can achieve.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.Responsibilities Responsible for the design and implementation of a global-scale machine learning system for chat bot, feeds, ads and search ranking models Responsible for leveraging large language models in applications, and improving them via techniques like SFT and RLHF Responsible for improving the workflow of model training and serving, data pipelines and resource management Responsible for connecting cutting edge academic research with user-facing next generation productsQualificationsMinimum Qualifications Currently pursuing a BS/MS in Software Development, Computer Science, Computer Engineering, or a related technical discipline Proficient in C/C++/Python/Golang, and have exceptional programming skills (expert with algorithms and data structures). Familiarity with deep learning frameworks like TensorFlow/PyTorch Exceptional problem-solving skills with the ability to think critically and creatively Knowledge, passion, curiosity, and exposure to areas in Machine Learning / Artificial intelligence Experience, research, internship, or coursework related in Large Language Models or related fields Ability to work independently and complete projects from beginning to end and in a timely manner Strong teamwork and communication skills. Any hands-on experience or group projects in relevant technical scenarios will be a plus!Preferred Qualifications Experience in big data frameworks (e.g., K8s/Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems, experience in building solutions with AWS, GCP, Azures, OCI, AliCloud or other cloud services Strong background in one of the following fields: High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for SystemsTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $116000 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (Large Language Models & Generative AI-US) - 2025 Start (BS/MS)
+291,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+292,2025-04-03,Palo Alto,CA,HP,http://www.hp.com,"We believe growth and fulfillment through technology is the Future of Work. Our vision is to deliver intelligent solutions that enable growth and more fulfilling work experiences wherever work gets done.
+
+Our technology – a product and service portfolio of personal systems, printers, and 3D printing solutions – was created to inspire our vision and we are doing everything in our power across climate action, human rights, and digital equity to make it so.
+
+We believe thoughtful ideas can come from anyone, anywhere, at any time. And all it takes is one to change the world.
+","Location: HoustonSPONSORSHIP: This opportunity is intended for conversion to a full-time role that will not offer work authorization sponsorship in the future (full-time conversion pending performance evaluation post internship and available headcount). Interested candidates must be currently eligible to work in the US AND must not require work authorization sponsorship in the future. HP, Inc. will not provide any assistance or sign documentation in support of immigration sponsorship including Curricular Practical Training (CPT) or Optional Practical Training (OPT).Candidates who identify with a group that is historically underrepresented in the technology sector including by not limited to, African American, Latino, Native American, individuals with disabilities and Veterans are encouraged to apply.About UsInnovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe.HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze.The ProgramOur future success depends on the innovation and fresh ideas students bring to HP, inc. We are hiring students with a diverse set of skills and experiences to join us, across the different organizations that make us HP, inc. Our intern program is intended to enhance your overall learning experience, give you an opportunity to make an impact, have some fun, and meet great people along the way.Join us for a 12-week paid summer internship designed to let you apply your classroom learnings to real world challenges. Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun!Job ResponsibilitiesCollaborate with a dynamic team to design, develop, and implement data-driven strategies and solutions for various business challenges.Assist in the analysis of large datasets to identify trends, patterns, and actionable insights to guide decision-making processes.Work with machine learning models and algorithms to enhance predictive analytics and automate data processes.Help optimize data workflows, ensuring scalability and efficiency across multiple systems and platforms.Conduct data cleaning, data wrangling, and preprocessing to prepare datasets for analysis and modeling.Assist in visualizing data insights through reports, dashboards, and presentations to communicate findings to stakeholders.Support the development and improvement of data infrastructure and pipelines, ensuring they are robust and well-maintained.Education And Experience Required (Objective Minimum Qualifications)Currently enrolled in a Master’s program and expected to graduate in December 2025.Proficiency in programming languages such as Python or R for data analysis and machine learning.Preferred MajorsData ScienceComputer ScienceArtificial IntelligencePreferred Knowledge And Skills (Preferred Qualifications)Experience with machine learning frameworks and libraries (e.g., Keras, PyTorch).Familiarity with big data tools and technologies (e.g., Hadoop, Spark).Knowledge of data visualization tools (e.g., Tableau, Power BI).Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).Understanding of statistical analysis and hypothesis testing methods.Passion for staying up-to-date with emerging trends in data science and machine learning.We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today— we are eager to learn more about you.HP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225The pay range for this position is $35-38 per hour (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.BenefitsHP offers a comprehensive benefits package for US Interns working at least 20 hours weekly, including:Health insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including;4-12 weeks fully paid parental leave based on tenure13 paid holidays15 days paid time off (US benefits overview)Available hours are pro-rated based on hire date and scheduled hoursThe compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.Explore HP",Internship,Data Scientist Intern
+293,2025-03-25,San Francisco,CA,Lyft,https://www.lyft.com/,"Whether it’s an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app — for a more connected world, with transportation for everyone.","At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.With over half a billion rides and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Trust & Safety, Growth and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building next-generation platform for low-cost, ultra-immersive transportation to improve people’s lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.If you are a critical thinker with experience in machine learning workflows, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.As a machine learning engineer, you will be developing and launching the algorithms that power the platform’s core services and impactful products. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, economics, forecasting, mapping, safety, personalization, and adaptive control. We are hiring motivated experts in each of these fields. We’re looking for someone who is passionate about solving problems with data, building reliable ML systems, and is excited about working in a fast-paced, innovative, and collegial environment.Responsibilities:Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impactPerform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problemsDevelop statistical, machine learning, or optimization modelsWrite production quality code to launch machine learning models at scaleEvaluate machine learning systems against business goalExperience:B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience5+ years of Machine Learning experiencePassion for building impactful machine learning models leveraging expertise in one or multiple fields.Proficiency in Python, Golang, or other programming languageExcellent communication skills and fluency in EnglishStrong understanding of Machine Learning methodologies, including supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed banditsBenefits:Great medical, dental, and vision insurance options with additional programs available when enrolledMental health benefitsFamily building benefitsChild care and pet benefits401(k) plan to help save for your futureIn addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligibleSubsidized commuter benefitsLyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership ProgramLyft is an equal opportunity employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #HybridThe expected base pay range for this position in the San Francisco area is $162,8000 - $203,500. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.",Mid-Senior level,"Senior Machine Learning Engineer, Recommendations"
+294,2025-03-20,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Machine Learning Engineer - RAGThis role involves building the next-gen Retrieval-Augmented Generation (RAG) by demonstrating sophisticated generative AI services, pipelines, and components to drive the development and delivery of Agentforce. You will work on and ship impactful generative AI platforms, applications, and products used by millions of people every day.The RoleYou will play a critical role in integrating artificial intelligence and generative AI into sophisticated RAG technologies, enterprise Knowledge Graphs, and the latest LLM algorithms and technologies to build the next wave of intelligent agents. You will participate in the end-to-end AI product development lifecycle, designing and developing scalable deep learning and generative AI systems and services. You will collaborate with AI Platform Engineers and Software Engineers to define requirements and develop reusable workflows and ML pipelines.What You’ll Do: Design and deliver scalable RAG services that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production. Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring, and root cause analysis. Participate in periodic on-call rotations and be available to resolve critical issues. Collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production. Engage in fun-spirited yet thought-provoking conversations with your team around fun topics, such as: Should the popularity of penguins influence conservation efforts? Is creativity more like a neural network or a heuristic algorithm? How would society evolve if humans communicated through colors as well as words? Brainstorm with Product Managers, Designers, and Engineers to conceptualize and build new features for our large (and growing!) user base. Produce high-quality results by leading or collaborating heavily to large multi-functional projects that have a significant impact on the business. Help other engineers actively own features or systems and define their long-term health, while also improving the health of surrounding systems. Assist our skilled support team and operations team in triaging and resolving production issues. Mentor other engineers and deeply review code. Improve engineering standards, tooling, and processes.Required Skills: 10+ years of proven experience in ML engineering, building AI systems and/or services. Strong proficiency in NLP and machine learning models. Experience with LLMs and prompt engineering. Proven experience building and applying machine learning models to business applications. Proven track record to innovate and deliver results at scale. Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks, such as Kafka, Spark, Docker, and Hadoop. Proven understanding of deep learning and machine learning algorithms. Grit, drive, and a strong sense of ownership, coupled with teamwork and leadership skills. Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala, or Java. Built with common ML frameworks like PyTorch, TensorFlow, Keras, XGBoost, or Scikit-learn. Experience building batch data processing pipelines with tools like Apache Spark, SQL, Hadoop, EMR, MapReduce, Airflow, Dagster, or Luigi. An analytical and data-driven approach, and know how to measure success with complicated ML/AI products. Led technical architecture discussions and helped drive technical decisions within the team. The ability to write understandable, testable code with an eye towards maintainability. Strong communication skills and you are capable of explaining sophisticated technical concepts to designers, support, and other specialists. Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval. A bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, or you have equivalent training, fellowship, or work experience.Preferred Skills: Expertise in retrieval systems and search algorithms. Familiarity with vector databases and embeddings. Strong background in a wide range of ML approaches, from Artificial Neural Networks to Bayesian methods. Experience with conversational AI. Excellent problem-solving skills; the ability to take on problems the world has yet to solve. Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams. Knowledge of using multiple data types in RAG solutions including structured, unstructured, and graph.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at  www.equality.com  and explore our company benefits at  www.salesforcebenefits.com . Salesforce  is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce  does not accept unsolicited headhunter and agency resumes. Salesforce  will not pay any third-party agency or company that does not have a signed agreement with Salesforce .Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $172,000 to $384,100.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Machine Learning Engineer, RAG"
+295,2025-04-01,Worldwide,,Deloitte,http://www.deloitte.com/,"Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. 
+
+Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.
+
+The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.","Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.Work You'll Do/ResponsibilitiesWork with data science techniques and libraries to show data's applicability to the clients' business problems.Perform exploratory data analysis to define analytical models.Develop advanced quantitative models using Python, PySpark, and associated libraries to support predictive assessments.Explain analytics model behavior/results in business-friendly language.Build, test, validate, and demonstrate analytical models through various relevant error metrics and calibration techniques.Apply algorithms that require multiple models/methods to be used in an ensemble.Utilize SQL to query, manipulate and extract data to drive business insightsDeploy models into production with Airflow.Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operationalThe Team As a part of the US Strategy & Analytics Offering Portfolio, the AI & Data offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.QualificationsRequired5+ Years experience as a Data Scientist5+ Years experience conducting Time-Series Analysis and Anomaly Detection5+ Years experience using the following tools: SQL, Tableau, and PythonBachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experienceLimited immigration sponsorship may be availableMust be able to sit onsite in Cupertino, CAAbility to travel 10%, on average, based on the work you do and the clients and industries/sectors you servePreferredA background in marketing analytics, market research, or sales analyticsAnalytical/ Decision Making ResponsibilitiesAnalytical ability to manage multiple projects and prioritize tasks into manageable work productsCan operate independently or with minimum supervisionExcellent Written and Communication SkillsAbility to deliver technical demonstrationsFor individuals assigned and/or hired to work in California, Colorado, Hawaii, Jersey City, Nevada, New York state, and Washington State, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California, Colorado, Hawaii, Jersey City, Nevada, New York state, and Washington state and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $109,000 to $170,000.Additional RequirementsInformation for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html",Not Applicable,Data Scientist
+296,2025-04-02,New Brunswick,NJ,Johnson & Johnson,http://www.jnj.com,"At Johnson & Johnson, we believe health is everything. As a focused healthcare company, with expertise in Innovative Medicine and MedTech, we’re empowered to tackle the world’s toughest health challenges, innovate through science and technology, and transform patient care.  ​
+
+All of this is possible because of our people. We’re passionate innovators who put people first, and through our purpose-driven culture and talented workforce, we are stronger than ever. ​
+
+Learn more at https://www.jnj.com. Community Guidelines: http://www.jnj.com/social-media-community-guidelines","At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.comJob FunctionData Analytics & Computational SciencesJob Sub FunctionData ScienceJob CategoryScientific/TechnologyAll Job Posting Locations:Beerse, Antwerp, Belgium, Spring House, Pennsylvania, United States of America, Toledo, SpainJob DescriptionAI/ML Senior Scientist in Drug Discovery Data SciencesNext Generation Automation refers to the bidirectional coupling between automated lab equipment and Artificial Intelligence (AI). Through successive iterations, such closed-feedback loop systems facilitate the AI-driven design, execution and analysis of experiments and utilize a wealth of in silico methodologies including active learning, multi-parametric dynamic optimization, model predictive control, Model-based Design of Experiments, and others.Within the Drug Discovery Data Sciences organization of Johnson & Johnson Innovative Medicine we have an open position for a senior scientist that will play a pivotal role in our strategic effort to transition automation into the next generation. To do so, the new member will collaborate within interdisciplinary teams comprising biologists, medicinal chemists, data scientists, computational chemists and IT experts across all therapeutic areas. They are expected to utilize their expertise and know-how to bridge the gap and close the loop between existing automation and in silico solutions and develop new modeling suites according to the needs of each project.Role And ResponsibilitiesCo-develop system engineering plans for closed loop automation projects from PoC to production. Develop and productionize the in silico suites by using AI/ML and other appropriate modelling methodologies. Actively participate in evaluation of third-party solutions. Work closely with IT, engineering and Lab-tech to implement solutions. Communicate results in audiences with heterogeneous background. RequirementsA PhD with an AI/ML publication track record. Previous experience with Process or Lab Automation. Familiarity with Model Predictive Control and DOEs or similar mathematical capabilities. Knowledge of Python development and affinity with AWS (or similar cloud environments). Strong interpersonal, organizational and communication skills. Motivation to be part of a team that celebrates diversity and offers an inclusive working environment where creativity and innovation can thrive.",Not Applicable,"Data Scientist, AI/ML Drug Discovery"
+297,2025-04-04,Ann Arbor,Michigan,Voxel51,https://voxel51.com,"Build better visual AI faster with FiftyOne by Voxel51. We empower AI builders to understand and improve visual datasets and evaluate their models, leading to more accurate results and streamlined workflows. Unlock the power of your visual data.","First and most importantly: our mission is to bring transparency and clarity to the world's data.Our platform, FiftyOne, is where AI work happens. Our enterprise platform is the mission critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies, including dozens from the Fortune 500.We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 3 million downloads to-date.Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture, we are at the thrilling center of real-world AI advancement’s next wave.And we’re built on three key tenets:We are all human beings: we strive to be a “human-first” organization and treat everyone with the respect, care, and flexibility that all people deserve. We are distributed: we believe in getting autonomy and power into the hands of people actually doing the work.We believe in the power of community.Our fully distributed team is located across North America today.About your roleAs a Machine Learning Engineer here at Voxel51, you’ll collaborate with a team that delivers innovative features to support dataset curation, model analysis, and integrations that span the entire machine learning lifecycle, with a current emphasis on Visual AI. You’ll build powerful and extensible methods that users interact with via both API and no-code workflows, and you’ll solve unique challenges that arise when working with unstructured data (images,video, point-clouds, and meshes). Additionally, you will have the opportunity to contribute to a thriving open source community while also emphasizing enterprise-grade engineering for our commercial products.Every member of our fully-remote team is empowered to own their work and play an active role in advancing our mission to democratize data-centric ML.What you will doPush the boundaries of open-source data-centric AI with an emphasis on innovating new capabilities for our users to effectively work with unstructured datasets and building state of the models.Scale data-centric AI approaches for the world’s largest enterprises to world scale, with billions of samples across continually learning models.Work with UX designers and core software engineers to bring these state-of-the-art AI capabilities to life in production software ecosystems.Play an active role in the discussion to inform company technical strategy as we build the software refinery that brings transparency and clarity to the world’s data.What you should bring3+ years of professional software engineering experience developing ML products and software systemsBS or MS in computer science or a related fieldExpertise with Python and a passion for elegant softwareExpertise with machine learning and scientific computing libraries (PyTorch, NumPy)Familiarity with NoSQL databases (MongoDB, DocumentDB, Elasticsearch)Experience maintaining or contributing to open source projects (or the passion to start!)Ability to work in a remote-first, cooperative environment using collaborative development tools (GitHub, Slack)Initiative and radical candor to constructively collaborate with your new teammates and our large user-baseThe cash compensation for this person is in the $180K - $240K range (we know this is broad - it depends on the individual's experience and skillset). In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.",Mid-Senior level,Machine Learning Engineer
+298,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
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+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+299,2025-02-19,Munich,Bavaria,XPENG Deutschland,https://www.xpeng.com/de,"XPENG is a leading electric vehicle company headquartered in Guangzhou, China with offices in the US and Europe. The company is committed to driving the transformation of smart EVs through technology and shaping the mobility experience of the future. To optimize the mobility experience of its customers, XPENG develops in-house comprehensive technology for advanced driver assistance systems and in-vehicle intelligent operation system, as well as the core systems of the vehicle, including the powertrain and electric/electronic architecture.","XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.Job ResponsibilitiesFine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc. Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars. Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production. Work on efficient and effective ways to leverage large scale dataset and computational resource. Explore novel ways to generate synthetic data to improve the data diversity & quality. Communicate and align with different teams on product needs across the company Minimum Skill RequirementsPh.D in Computer Science or related fields. Solid background in machine learning, natural language processing (NLP), computer vision,speech or data.Experience in working with LLMs Strong python programming skills & software development, and strong experience with anymajor deep learning framework. Open-minded, collaborative and excellent communication skillsPreferred Skill RequirementsDeep understanding of language model modern architectures, ‘under the hood’ LLM training knowledge, quantization techniques, etc. Familiarity of large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc. Record of publications, innovations or leadership. What Do We ProvideA fun, supportive and engaging environment Opportunity to make significant impact on transportation revolution by the means ofadvancing autonomous drivingOpportunity to work on cutting edge technologies with the top talent in the field Competitive compensation package Snacks, lunches, and fun activities The base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.",Mid-Senior level,"Machine Learning Engineer - LLM, AI & Robotics"
+300,2025-03-21,San Francisco,California,Notion,https://notion.com,"Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes? With Notion, they're all in one place, and totally customizable to meet the needs of any workflow. It's the all-in-one workspace for you, your team, and your whole company. 
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+We humans are toolmakers by nature, but most of us can't build or modify the software we use every day — arguably our most powerful tool. Our team at Notion is on a mission to make it possible for everyone to shape the tools that shape their lives.","About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.About The RoleYou’ll join a team of talented engineers who will design and own foundational data capabilities that are key to the company’s business and product. Notion’s data platform and infrastructure are vital to both empowering every team at Notion to make decisions using data and experimentation, and enabling our product features, like search, user notifications, workspace analytics and Notion AI. We are hiring engineers across multiple levels.What You'll AchieveYou'll work cross-functionally with partners from the Data Science, Data Engineering, AI, Product, Go-to-Market, Legal and Finance organizations to deliver short- and long-term impactYou’ll help in influencing / executing the roadmap for data infrastructure and systems to power high volume product features using Notion’s data.You'll play a pivotal role in the development of tools and infrastructure that democratize data access and enable analytics capabilities across the organizationYou'll determine the best ways to handle Notion's unique data model and usage patterns to derive insights and bring intelligence to product features like search and discovery.Skills You'll Need To BringYou have experience with big data ingestion, compute, and storage systems based on Spark, Kafka, Flink, and data lake and data warehouse technologies.You have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house).You've experienced the challenges of scaling and re-architecting data platforms and infrastructure through orders of magnitude of growth and scaling data volume.Nice To HavesYou've built out data infrastructure from, or nearly from, scratch at a fast-growing startup.You've led a Data Platform / Infrastructure / Data Engineering Team.You have experience building MLOps and ML serving infrastructure.Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $220,000 - $298,000 per year.By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.",Not Applicable,"Software Engineer, Data Platform"
+301,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.We are the Ads Core Team from TikTok Global Monetization Technology. Our core mission is to generate revenue and optimize the user experience on the world's leading short-form video platform.Within the global monetization and advertising landscape, we are responsible for accelerating TikTok revenue growth through advanced machine learning technology and delivering optimal user experience solutions.You will be part of a team that's optimizing ads format and ranking strategies, and you will be responsible for bringing a better return on investment for advertisers.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities: Research and develop a global advanced advertising delivery system through frontier technologies, including ML/DL, RL, LLM and also scaling law in ads recommendation. Optimize efficiency across the entire advertising funnel, including Recall&Rough-sort, Fine-sort(ctr/cvr), format/creative personalization and system resource allocation. Design and set up system framework and standard to continuously improve overall modeling efficiency. Build the delivery pipeline, including modeling, bidding, traffic strategy, optimizing organic video recommendation systems, adapting to a variety of vertical business needs. Influence overall user experience and revenue targets, positioning us as a core component of the entire organization.QualificationsMinimum Qualifications: Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. Good theoretical grounding in machine learning/deep learning/algorithm concepts and techniques. Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet), familiar with its architecture and implementation mechanism. Good analytical thinking capability.Preferred Qualifications: Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative)TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Ads Core Global) - 2025 Start (BS/MS)
+302,2025-04-02,Suwon-Si,Gyeonggi-Do,Samsung Electronics,http://www.samsung.com,"Samsung Electronics is a global leader in technology, opening new possibilities for people everywhere. Through relentless innovation and discovery, we are transforming the worlds of TVs, smartphones, wearable devices, tablets, digital appliances, network systems, medical devices, semiconductors and LED solutions. Samsung is also leading in the Internet of Things space through, among others, our Smart Home and Digital Health initiatives. 
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+Since being established in 1969, Samsung Electronics has grown into one of the world’s leading technology companies, and become recognized as one of the top 10 global brands. Our network now extends across the world, and Samsung takes great pride in the creativity and diversity of its talented people, who drive our growth.  To discover more, please visit our website at www.samsung.com and our official newsroom at news.samsung.com","Senior Machine Learning Model Engineer – Samsung AdsPosition SummarySamsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe.We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team.ResponsibilitiesLead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market.Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.Mentor junior engineers and provide technical guidance.Learn quickly and adapt to a fast-paced working environment.Experience Requirements:Master’s or PhD degree in Computer Science or related fields.4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.Solid theoretical background in machine learning and/or data mining.Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).Hands-on experience with production-grade machine learning solutions.Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).Extensive programming experience in Python, Go or other OOP languages.Familiarity with data structures, algorithms and software engineering principles.Proficiency in SQL and databases.Strong communication and interpersonal skills to drive cross-functional partnerships.Preferred Experience Requirements:Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).Basic knowledge about Amazon Web Services (AWS).Experience with the advertising industry and real-time bidding (RTB) ecosystem.CALIFORNIA ONLYSalary Range Pay Transparency: Compensation for this role, for candidates based in Mountain View, CA is expected to be between $190,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.",Mid-Senior level,Senior Machine Learning Model Engineer
+303,2025-03-31,Fort Worth,Texas,Koddi,http://www.koddi.com,"Koddi is the leading commerce media technology for enterprises. Leveraging AI and first-party data, Koddi builds retail and commerce media networks for the biggest companies in the world. With more than a decade of experience and powering billions of media spend, the company is leading the fast-growing rise of commerce media. We offer the industry’s most flexible, interoperable, and full-funnel approach. We partner to provide self-serve buying and reporting for display, native, video, sponsored products, offsite, and on premise – all in one place. 
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+Whether you’re a franchise looking to launch tailored multi-channel marketing, an enterprise brand looking to leverage precise marketing management, or a commerce media network looking to maximize your on-site, off-site, and in-store opportunity, Koddi has a solution for you. Koddi works with retail, auto, travel, real estate, home services, quick serve restaurants, financial services, and more. Our technology is designed to grow and change with you, ensuring your business thrives no matter your industry or objectives. For more information, please visit koddi.com.
+","Koddi builds advertising marketplaces where publishers can monetize their inventory and advertisers can achieve their performance marketing objectives while prioritizing the customer experience.We’re seeking a highly skilled Machine Learning Engineer to join our Data Science team. Come play a pivotal role in developing and deploying innovative models at scale.This role requires prior experience deploying complex models in high throughput, low-latency situations. Other elements for success in this role are a strong foundation in ML algorithms, a passion for delivering measurable results, and the ability to thrive in a fast paced environment.What You Will DoWork closely with data scientists, software engineers, and business stakeholders to understand company goals and objectives. Translate that understanding into machine learning solutions that address business challenges and opportunities.Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.Deploy machine learning models into production environments, collaborating with software engineering teams to ensure scalability, reliability, and maintainability.Monitor model performance and behavior in production, proactively identifying and addressing issues to maintain optimal performance and accuracy.Stay current with advances in machine learning research and technologies, exploring new approaches and methodologies to enhance model capabilities and effectiveness.Document methodologies, processes, and findings, sharing insights and best practices with the broader team to foster knowledge sharing and collaboration.What Skills And Experience You BringBachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's or Ph.D. degree preferred.Minimum of 3 years of experience in machine learning engineering or related roles, with a strong track record of developing and deploying machine learning models in production environments. Knowledge developing and debugging in Python, GoLang, Perl. Familiarity with ML development and deployment tools and platforms such as Databricks, MLFlow, Kubeflow Pipelines, Airflow, TensorRT or similar.Experience with data preprocessing, feature engineering, and model evaluation techniques.Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes).Strong understanding of software engineering principles, including version control, testing, and deployment pipelines.Excellent problem-solving skills and attention to detail, with the ability to analyze complex datasets and derive actionable insights.Effective communication and collaboration skills, with the ability to work across teams and communicate technical concepts to non-technical stakeholders.Experience in Agile/Scrum methodologies and working in interdisciplinary teams is a plus.Preferred: Experience implementing complete model lifecycle from inception to deployment to automated retraining for a complex model such as Contextual Bandit, Deep Neural Network, or similar. About KoddiKoddi is a global technology company with software and services that help top digital marketplaces effectively monetize their first-party audiences through industry-leading commerce media technology and strategy. Our enterprise platforms leverage first-party data to drive marketplace revenue and profit by improving user experience and target shoppers throughout the purchase path. Koddi’s platforms enable any advertiser, any marketplace, in any industry to increase awareness, generate demand, and drive revenue.We are committed to driving innovation and growth in the commerce media space. As part of that commitment, we’ve launched Koddi Academy—a learning platform designed to provide expert knowledge, competitive insights, and practical strategies for thriving in this fast-growing industry. Explore our latest certification course, Commerce Media Foundations, to deepen your expertise and stay ahead in the evolving world of commerce media. You can also sign up for our waiting list to be notified when new courses are released. Get started today at  Koddi Academy.",Mid-Senior level,Machine Learning Engineer
+304,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+305,2025-03-28,The Cloud,,Snowflake,http://www.snowflake.com,"Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.","Build the future of the AI Data Cloud. Join the Snowflake team.The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their ML/AI workload to Snowflake. Our customers want to leverage ML/AI to extract business values from ever increasing data in Snowflake but face several challenges including infrastructure management, scaling, orchestration, performance and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure and scalable to enable end to end ML workflows. We are on an early journey to build the best machine learning and data platform for Snowflake customers without sacrificing the benefits of a single platform and governance.We are looking for a driven engineer who will play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state of the art ML/AI workloads. Join us to design and execute, engage and deliver innovation and unlock the power of AI for thousands of enterprise customers.YOU WILL:Design easy-to-use & intuitive APIs & systems for ML experts and non-experts to accelerate the E2E ML development and production lifecycleDesign and optimize systems to scale up and out ML data and trainingCollaboratively build and execute a vision for incorporating new advances in machine learning in ways that best achieve the customers’ business objectives.Be a strong contributor to the product vision and team planning.Build operational and release rigor with every feature/bug fix deployments.QUALIFICATIONS:Have 2+ years of industry experience designing, building, and supporting machine learning platforms, machine learning services & frameworks or data intensive systems.Working experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow.Fluent in Python. C++, Java, Go experience is a plus.Familiarity with Kubernetes (K8s) for container orchestration and scaling, plus experience setting up and maintaining CI/CD pipelines (e.g., Jenkins, GitLab, GitHub Actions), is a plus.A growth mindset and excitement about breaking the status quo by seeking innovative solutions.BS in Computer Science or related degree; Masters or PhD Preferred.Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.comThe following represents the expected range of compensation for this role: The estimated base salary range for this role is $157,000 - $230,000.Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.",Entry level,Software Engineer - Machine Learning Platform
+306,2025-03-27,Broomfield,Colorado,DigitalOcean,https://www.digitalocean.com,"DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean helps developers at startups and growing digital businesses rapidly build, deploy and scale, whether creating a digital presence or building digital products. DigitalOcean combines the power of simplicity, security, community and customer support so customers can spend less time managing their infrastructure and more time building innovative applications that drive business growth.","We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems.Key ResponsibilitiesDevelop, test, and implement predictive models and machine learning algorithms to solve business challenges.Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools.Design and execute experiments (A/B testing, causal inference, etc.) to measure the impact of business initiatives.Collaborate with stakeholders to translate business questions into data science problems and communicate findings effectively.Build and maintain data pipelines and ETL processes to ensure data quality and availability.Present data-driven recommendations to executives and cross-functional teams in a clear and actionable manner.Stay updated on the latest advancements in data science, machine learning, and AI.QualificationsMaster’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.3+ years of experience in data science, analytics, or a similar role.Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.Solid experience with SQL for querying and managing structured data.Knowledge of machine learning, statistical modeling, and optimization techniques.Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.Ability to communicate complex findings to non-technical stakeholders in a clear, concise manner.Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).Familiarity with business intelligence, marketing analytics, or financial forecasting is a plus.Preferred SkillsExperience in causal inference, econometrics, or Bayesian methods.Hands-on experience with ML Ops, model deployment, or data engineering workflows.Understanding of business metrics, growth strategies, and financial modeling.Ability to work in a fast-paced, cross-functional environment.Why You’ll Like Working for DigitalOceanWe innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.We reward our employees. The salary range for this position is $181,500 - $214,500 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.This is a remote role",Entry level,Data Scientist
+307,2025-01-16,Los Angeles,CA,Keeling Labs,https://www.keelinglabs.com,"Founded in 2022, Keeling Labs was started as a place to develop and apply machine learning to solve the world's biggest problem—climate change. Our current priority is getting the grid to run on 100% clean energy, which is currently limited by battery storage (specifically, the algorithms that control them).
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+We're redefining these algorithms to unlock gigawatts of untapped energy storage capacity, enabling the grid to run on more clean energy from wind and solar.
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+Learn more about our work on our website: www.keelinglabs.com","Our MissionFounded in 2022, Keeling Labs was started as a place to develop and apply machine learning to solve the world's biggest problem—climate change. Our current priority is getting the grid to run on 100% clean energy, which is currently limited by battery storage (specifically, the algorithms that control them).We're redefining these algorithms to unlock gigawatts of untapped energy storage capacity, enabling the grid to run on more clean energy from wind and solar. You can learn more about us here:Our WorkCompanyWriting Code for a Cleaner GridProgress and TractionSince 2022, we:Went through Y Combinator (W23 batch)Built our first ML model for energy trading, which is a proving ground for our battery optimization problem (learn more here)Achieved regulatory certification as a grid participant in California (CAISO) in fall of 2023Raised a $3M seed round to bring that model to a real electricity marketExpanded the teamSuccessfully deployed our model to trade energy in California in 2024We're live in the grid, earning revenue with our machine learning model, and gearing up for growth.What's Next In 2025With our core tech validated in a real market, we're now laser focused on two things:Scaling our ML-based energy trading to more grid markets in the U.S. (we're in 1 of 7 ISOs)Building our larger, more complex model to operate giant physical batteries in the grid (learn more here)To do this, we're looking to expand the team and bring on ambitious, mission-driven engineers that want to make a serious difference in the climate change problem with their work. The code you write at Keeling Labs will directly impact emissions, control physical infrastructure, and help scale climate solution.About the Role:We're hiring for an ambitious, experienced machine learning engineer to help us scale our technology and impact in the grid. We're looking for someone with experience developing and deploying real-world ML in production applications—ideally in energy, automative, aerospace, self-driving, or other physical applications.Overall, you'll be a Swiss Army Knife across the entire ML stack at Keeling Labs.What You’ll Be Responsible For:Solve challenging problems to bridge ML theory and real-world applicationBuild efficient simulation environments for reinforcement learning (RL) modelsOptimize training & inference runtime, performance, and costWork with our researchers to implement new ideas to improve our ML modelsDevelop profiling and monitoring tools to oversee production performanceRequirements:3+ years experience applying ML to physical, real-world applications in a production environmentStrong coding background (Python/PySpark/Terraform/JAX or other ML frameworks)Experience building training architectures on cloud / strong overall cloud background (AWS)Strong problem-solving abilities in the ML spaceB.S., MSc, or PhD in engineering, physics, or computer science (or equivalent industry experience)Mission-driven, collaborative attitudeBenefits:We offer full health, dental, and vision insurance to all employees, along with unlimited PTO.Compensation Range: $130K - $165K",Entry level,Machine Learning Engineer
+308,2025-03-22,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for candidates who brave difficulties, share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Key Responsibilities Participate in the development of a large-scale Ads system Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc Participate in the development and iteration of Ads algorithms by using Machine Learning. Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering Research and develop Ads pacing algorithms, ads traffic control, etc Partner with product managers and product strategy & operation team to define product strategy and featuresQualificationsMinimum Qualifications Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environmentPreferred Qualifications Experience in and a good understanding of one of the following domains: Search, Ads, Recommendation, Monetization Products, Shopping Products.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Search Ads) - 2025 Start (BS/MS)
+309,2025-04-04,Dallas,Texas,Verily,http://www.verily.com,"Verily is an Alphabet company combining a data-driven, people-first approach to bring the promise of precision health to everyone, every day. We are focused on generating and applying evidence from a wide variety of sources to change the way people manage their health and the way healthcare is delivered - shifting the paradigm from “one size fits all” medicine to one focused on a more comprehensive view of the individual that leads to a more personalized path forward. For more information, please visit verily.com.
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+Verily is hiring! Check out what's available globally at verily.com/careers.","Who We AreVerily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.DescriptionThe Verily precision health platform is the comprehensive and patient-centered engine that accelerates the evidence generation needed for safer, more effective treatments and care decisions, helping people live longer, healthier lives. Our cloud-first approach, advanced analytics and AI expertise enable us to collect, organize, enrich and activate petabytes of data aligned with our customers' unique needs and delivered at just the right time. As a member of the Precision Health Platform engineering organization, you will build modular, composable, and interoperable platform components including development and maintenance of software for ML applications (data science, computer vision and LLMs).Our team is responsible for integrating and combining data from a variety of sources (e.g. EHR, ePROs, Digital Biomarkers, devices), building ML pipelines in order to provide curated data sets with ML insights that can contribute to clinical and research goals. In addition to research we are building AI tools for our care products to improve patient experience. Be at the forefront of innovation and tackle exciting challenges within a collaborative and dynamic work environment.ResponsibilitiesDesign, and develop high-quality AI/ML software solutions to meet project requirements, ensuring scalability and performance.Collaborate with cross-functional teams and technical leads to define and refine technical specifications, taking ownership of design oversight, scoping and project deliverables.Maintain a growth mindset and stay informed about the latest trends and advancements in AI/ML and software engineering to contribute to a culture of continuous learning and growth.Participate in code reviews to maintain code quality and uphold best practices, promoting a culture of excellence.Investigate, troubleshoot, and resolve complex technical issues to ensure the reliability and stability of our systems.QualificationsMinimum QualificationsBachelor's degree in Computer Science or a related field.1+ years of experience in SW, cloud engineering or ML engineering with a BS degree.Proficiency in at least one major programming language (e.g., Python, Java, Go).Proven track record of delivering high-impact, production-quality software in the cloud.Experience with ML tools and platforms such as notebooks, VertexAI.Preferred QualificationsExperience with CI/CD and Infrastructure tools like Terraform, GitHub.Proficiency in Go or Python.Experience in building model training and deployment environments in the cloud.Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.The US base salary range for this full-time position is $111,000 - $157,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus or benefits.",Entry level,"Software Engineer II, ML Platform"
+310,2025-03-25,Los Angeles,CA,SHEIN Technology LLC,http://www.sheingroup.com,"SHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry.","About SHEINSHEIN is a global online fashion and lifestyle retailer, offering SHEIN branded apparel and products from a global network of vendors, all at affordable prices. Headquartered in Singapore, with more than 15,000 employees operating from offices around the world, SHEIN is committed to making the beauty of fashion accessible to all, promoting its industry-leading, on-demand production methodology, for a smarter, future-ready industry.Position SummaryWe're seeking a full-time Machine Learning Engineer (actual title Machine Learning Engineer I) for our Seattle WA, based corporate office. Shein Technology is looking for a Machine Learning Engineer with a solid engineering background to enhance our fraud capabilities. This role focuses on the practical application of machine learning techniques in developing and optimizing models that protect against fraud, and it prioritizes the protection of sensitive data of US Customers. You are expected to spend most of the time to work on fraud detection by translating ideas into practical solutions.This role is an exciting opportunity to work with global partners, including those in the APAC region, to bring innovative technologies to life. As an international company, Shein values flexibility, and this position requires adaptable working hours to support cross-border collaboration. We seek individuals who thrive in a dynamic environment and embrace the challenges and rewards of international teamwork.Job ResponsibilitiesDevelop and enhance machine learning models to fulfill business goals including fraud prevention, malicious login or identity thefts.Develop key metrics to track online performance and collaborate with cross-functional teams including engineering, business, user experience and product teams to achieve business goals.Improve the machine learning infrastructure and pipeline, data table and deployment processesParticipate in the full development cycle: design, development, deployment, experiment and analysisExplore the applications of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and LLM agents in anti-fraud projects.Job RequirementsA master’s degree or above in Data Science, Computer Science or related fields.Ability to write production-level code for data science or machine learning projects, and experience in delivering related products.1+ years of hands-on experience in data engineering or machine learning.Development and ideally production experience with xgboost, lightGBM, other traditional machine learning models and deep learning models.Experience with SQL and at least one cloud platform (AWS/Azure/GCP).Nice to haveBonus and RSU eligibleExperience in e-commerce companies in fraud / risk control functions.3+ years of industry experience in data engineering or machine learning.Experience collaborating with product, operations and engineering teams.Excellent communication skills and ability to work with stakeholders or end customers.Experience with Hive, Dolphin Scheduler and Kafka.Mandarin proficiency and strong communication skills are strongly preferred for cross-border collaboration.Proficiency in Python (sklearn, pyspark etc.) is required while programming languages such as C++Experience in launching production system from ground up.Benefits And PerksBonus and RSU eligible Healthcare (medical, dental, vision, prescription drugs) Health Savings Account with Employer Funding Flexible Spending Accounts (Healthcare and Dependent care) Company-Paid Basic Life/AD&D insurance Company-Paid Short-Term and Long-Term Disability Voluntary Benefit Offerings (Voluntary Life/AD&D, Hospital Indemnity, Critical Illness, and Accident) Employee Assistance Program Business Travel Accident Insurance 401(k) Savings Plan with discretionary company match and access to a financial advisor Vacation, paid holidays, floating holiday and sick days Employee discounts Free weekly catered lunch Dog-friendly office (available at select locations) Free gym access (available at select locations) Free swag giveaways Annual Holiday Party Invitations to pop-ups and other company events Complimentary daily office snacks and beverages Pay Range: $135,600 USD - $235,300 USD",Not Applicable,Machine Learning Engineer
+311,2025-04-02,Costa Mesa, CA,The Law Offices of Daniel Kim,https://www.usaccidentlawyer.com/,"At The Law Offices of Daniel Kim, we strive to ensure that all motor vehicle accident victims get the compensation they deserve. We are 100% dedicated to assisting our clients in their personal injury cases.
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+Other firms see personal injury law as a quick paycheck. We view it as an opportunity to help rebuild a life. Daniel Kim and his legal team provide personalized, one-on-one legal services. We take the time to truly get to know each client, treating them like part of our family. 
+
+At The Law Offices of Daniel Kim, we fully prepare every case for trial in the event a settlement cannot be reached prior. This preparation empowers us to recover maximum compensation for our clients, and it puts us in a strong position if a trial becomes necessary.
+
+Daniel Kim, alongside his wife, and their multi-lingual team have recovered hundreds of millions in settlements and verdicts on behalf of their clients.
+
+For those who have been injured in either auto, truck, rideshare (Uber/Lyft), bicycle, pedestrian, or motorcycle accidents, our California personal injury law firm is here to fight for you. If you are looking for the #1 rated personal injury attorney, contact our personal injury law firm for a free consultation today. You pay nothing until you win.","Data & Machine Learning Engineer - Costa Mesa, CA (On-Site/Hybrid)Company Overview Law Offices of Daniel Kim is the leading personal injury law firm in Orange County, known for its commitment to excellence and strong track record of success. The firm is dedicated to growing its client base through strategic generation and marketing initiatives, making this role essential for its continued expansion.Role OverviewThe ideal candidate is a detail-oriented and analytical Data & ML Engineer with experience in handling large datasets and deriving meaningful insights. This role focuses on developing predictive models, analyzing business trends, and supporting automation initiatives through advanced data techniques.Compensation$150,000 - $200,000, depending on experienceWhat You’ll DoGather data from diverse sources, cleaning, transforming, and structuring data for machine learning model training.Extract, clean, and analyze data to generate insights that support business strategies.Develop and deploy predictive models to enhance marketing, lead generation, and operational efficiency.Create dashboards and reports that effectively communicate data-driven insights.Identify inefficiencies and recommend data-backed solutions for business growth.Work closely with cross-functional teams to integrate data science solutions into company operations.What We’re Looking ForStrong experience in extracting, cleaning, and analyzing data to generate actionable insights.Proficiency in designing, using, and integrating both relational and columnar databases for data warehousing, business intelligence, and machine learning.Proven ability to develop and deploy predictive models to enhance marketing, lead generation, and operational efficiency.Experience creating impactful dashboards and reports using tools( e.g. Power BI, Looker, Tableau).Ability to identify inefficiencies and recommend data-driven solutions for business growth.Experience working closely with cross-functional teams to integrate data science solutions into operations.Proficiency in Python or R, with experience using data science libraries (e.g., pandas, NumPy, scikit-learn).Nice to HaveExperience with data warehousing systems Snowflake, Redshift), data pipelines (Apache Kafka, Spark), and distributed computing platforms (Hadoop, AWS EMR)Knowledge of advanced statistical methods and machine learning frameworks like TensorFlow or PyTorch.Understanding of ETL processes and data pipeline architectures.Background in marketing analytics, customer segmentation, and lead generation strategies.Proficiency in designing and analyzing experiments to test hypotheses (A/B Testing).Experience in the legal industry or with legal data.Familiarity with scripting and automation to streamline data workflows.BenefitsOpportunities for growth and advancementCompetitive pay, based on experienceFirm-paid Dental and Vision InsuranceFirm-paid Life InsuranceMedical InsuranceFree Parking401kPTOLaw Offices of Daniel Kim is committed to being an equal employment opportunity provider in accordance with all applicable laws and regulations.",Mid-Senior level,Machine Learning Engineer
+312,2025-04-01,,,Reducto,https://reducto.ai,Reducto converts complex documents into structured data for any workflow,"About The RoleAbout UsThe vast majority of enterprise data — from financial statements to health records — are locked in unstructured file formats like PDFs and spreadsheets. Reducto is the most accurate way to parse and extract data from complex documents.Today we power ingestion pipelines for hundreds of leading AI teams, ranging from popular startups to Fortune 10 enterprises. We’ve grown incredibly quickly (0→7 fig in ARR in 6 months), are loved by customers (>300M pages parsed), and are well funded by tier 1 investors.We Would Love To Meet You If YouPhilosophy: You are your own worst critic. You have a high bar for quality and don’t rest until the job is done right—no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them.Experience: You have 2 to 5 years of experience with training, fine tuning, and evaluating ML models used in production systemsLanguage/Skills: You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMsTools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users.The Core Work Will IncludeTraining and deploying new state of the art models for parsing and interpreting unstructured dataExperimenting with novel techniques to improve LLM accuracyBuild data pipelines, evaluate model performance, and integrate models into the productWorking directly with the founders and customers to shape the product direction and engineering strategyBonus Points If YouHave prior experience founding a company or building products at early stagesAre ambitious and driven, and care a lot about doing great work with great peopleKeep up with the latest developments in ML/AIThis is an in person role at our office in SF. We’re an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.About ReductoNearly 80% of enterprise data is in unstructured formats like PDFsPDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to dozens of wasted hours every week.Traditional approaches fail at reliably extracting information in complex PDFsOCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.Reducto Breaks Document Layouts Into Subsections And Then Contextually Parses Each Depending On The Type Of Content. This Is Made Possible By a Combination Of Vision Models, LLMs, And a Suite Of Heuristics We Built Over Time. Put Simply, We Can Help YouAccurately extract text and tables even with nonstandard layoutsAutomatically convert graphs to tabular data and summarize images in documentsExtract important fields from complex forms with simple, natural language instructionsBuild powerful retrieval pipelines using Reducto’s document metadataIntelligently chunk information using the document’s layout dataBenefits at ReductoAt Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:Unlimited PTO: We believe great work requires recharging.Lunch: Receive a free lunch to eat with your teammates daily at the officeReimbursed Transportation: Provide us with your receipts and we’ll take care of the costsInsurance: Generous health insurance covering medical, dental, and vision.Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.Parental Leave: Work with us to build a leave schedule that works for you and your familyReducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.",Mid-Senior level,Machine Learning Engineer
+313,2025-04-01,San Francisco,CA,Baseten,https://www.baseten.co/,"At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently. 
+
+Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models.
+
+We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic.
+
+Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature.","About BasetenJoin our dynamic team at Baseten, where we’re revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by premier investors such as IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading enterprises and AI-driven innovators—including Descript, Bland.ai, Patreon, Writer, and Robust Intelligence—to deliver top-tier performance, security, and reliability for their production workloads. With our recent $75 million Series C funding, we’re poised to accelerate our mission to make AI accessible across all products. If you’re passionate about tackling impactful challenges and building transformative solutions from the ground up, we invite you to join us on this exciting journey!THE ROLEAs a Machine Learning Engineer specializing in Fine-Tuning at Baseten, you'll create exceptional value for customers by leveraging our world-class infrastructure to fine-tune large language models and/or other modalities, working directly with customers to achieve their specific goals. You'll build scalable pipelines, implement parameter-efficient techniques, and ensure a seamless transition to inference. This customer-facing role requires both technical expertise in foundation model adaptation and the ability to translate customer needs into effective solutions. You'll also help shape our product roadmap by identifying common patterns in customer requirements and working with product teams to develop reusable components and features , reducing the need for custom services and streamlining the fine-tuning process for everyone.ResponsibilitiesDesign comprehensive fine-tuning strategies that translate customer requirements into effective technical approaches—finding the optimal combination of data preparation, training techniques, and evaluation methods to deliver solutions that precisely address customer needsDevelop tools to enable non-ML experts to fine-tune models effectivelyDesign and implement scalable fine-tuning pipelines for large language models and other AI modalitiesWork directly with customers to understand requirements and guide technical implementationServe as the technical point of contact for customers throughout their fine-tuning journeyUtilize state-of-the-art parameter-efficient fine-tuning methods (LoRA, QLoRA)Build systems for efficient data preparation, evaluation, and deployment of fine-tuned modelsResearch and apply cutting-edge techniques in instruction tuning and model customizationCreate frameworks to evaluate fine-tuned model performance against base modelsImplement best-in-class distributed training techniques like FSDP and DDP across various hardware configurationsRequirementsBachelor’s degree in Computer Science, Engineering, or related field3+ years of experience in ML engineering with focus on model training and fine-tuningExperience with advanced fine-tuning frameworks such as Axolotl, Unsloth, Transformers, TRL, PyTorch Lightning, or Torch Tune, enabling efficient model adaptation and optimizationHands-on experience fine-tuning or pre-training LLMs or other foundation modelsExcellent communication skills for explaining complex concepts to varied audiencesNICE TO HAVEExperience working with customers to deliver technical solutionsTrack record of delivering ML projects to enterprise customersKnowledge of distributed training systems and efficiency optimization techniquesExperience with advanced alignment and adaptation techniques including RLHF, DPO, constitutional AI, prompt tuning, reinforcement learning with execution feedback, PPO, or other emerging alignment methodsKnowledge of prompt engineering and domain adaptation methodsContributions to open-source fine-tuning projects or toolsExperience building user-friendly interfaces for fine-tuning workflowsExperience with cloud platforms (AWS, GCP, Azure) and containerization technologiesBenefitsCompetitive compensation package (Flexible PTO, covered healthcare premiums for you and your dependents)A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our eraAn inclusive and supportive work culture that fosters learning and growthExposure to a variety of ML startups, offering unparalleled learning and networking opportunitiesApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.Compensation Range: $150K - $225K",Not Applicable,Machine Learning Engineer - Fine Tuning
+314,2025-04-04,New York,NY,American Express,https://www.americanexpress.com/,"At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. 
+ 
+These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more.  
+ 
+For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together. 
+
+Learn more about us at: 
+https://www.americanexpress.com/careers
+https://www.americanexpress.com/
+https://www.facebook.com/AmericanExpressUS
+https://www.instagram.com/americanexpress/
+https://twitter.com/americanexpress
+https://www.youtube.com/user/AmericanExpress
+
+See our community guidelines at: 
+https://www.americanexpress.com/en-us/company/community-guidelines/
+
+If you have a customer service issue or question, please visit www.americanexpress.com/contactus
+
+","Master’s degree in Data Science, Mathematics, Computer Science, Engineering, Information Systems, or related STEM fields3+ years full lifecycle product development and engineering leadership in highly available, highly scalable, and high throughput systemsExperience in deploying out-of-the box LLMs and Generative AI solutions including setting up Vector DBs, Graph-RAG and extensive testing of LLMs. Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies. Must demonstrate deep knowledge of testing frameworks for Generative AIDemonstrated experience with knowledge graphsExperience in building and owning data science solutions and pipelines within the MLOps ecosystem in Vertex AIHands-on expertise with handling distributed (multi-tiered) systems and automated testing – unit and performance testingDemonstrated experience in building and deploying a diverse set of Machine Learning (GLM, GBM, Neural Networks), Time series forecasting models and NLP solutions at scaleProficiency and Hands-on Experience with Git, CI/CD tools, Elasticsearch, and a solution in each category: Orchestration, Container, Model Serving, Observability, and Feature StoreStrong proficiency in programming with Python, Machine Learning libraries and APIs (TensorFlow, Keras, PyTorch, ScikitLearn, H20.ai, XGBoost)Experience in data visualization and observability with a focus on real time serving and monitoring of time series data with alertsStrong project management skills and effective stakeholder management skills, coupled with a continuous improvement mindsetExcellent presentation and communication skills, capable of explaining complex technical choices in simple terms to a diverse audienceExperience in Financial Services industry is preferredThorough understanding of enterprise infrastructure technologies (Compute, Storage, Network, Mainframe) to inform model development is preferred.",Mid-Senior level,Senior Data Scientist
+315,2025-03-30,Santa Monica,CA,BuildOps,http://buildops.com,"BuildOps is the only all-in-one management software built specifically for the modern commercial specialty contractor. Focusing on trade contractors, BuildOps combines service, project management, and more into a single SaaS platform.
+
+BuildOps enables subcontractors to run their entire business on one software solution that manages their invoicing & billing, scheduling, estimates, proposals, payments, workflows, custom forms, financial reporting, and more. Our industry leading cloud-based solution allows commercial service contractors to increase cash flow, boost profit margins, and impress their customers.
+
+Founded in 2018, privately held, and veteran-owned, BuildOps is backed by large institutional firms including Founders Fund, Next47 (Siemens), Global Founders Capital, and other world-class institutional investors. Visit BuildOps.com to learn more.","At BuildOps, we’re building a groundbreaking software solution designed to support today’s commercial contractors. From managing service departments to project management, we’re breaking the mold and building a team that’s invested in our mission. We thrive on hiring driven, self-motivated individuals with tech start-up experience who excel in fast-paced environments. Could you be our next hire?This role offers the opportunity to join a well-funded, fast-growing technology startup and help build out a critical function for the company.As an AI/ML Engineer, your primary focus will be implementing and enhancing AI/ML features in our industry-leading platform. We’re looking for someone who is passionate about delivering practical, high-quality software and can collaborate effectively in a distributed team environment.What you will do:Build and deploy machine learning models using Python (e.g., PyTorch) on platforms like AWS SageMakerDevelop backend and client-side code to integrate with cloud-based LLM APIs (e.g., Bedrock, ChatGPT APIs).Manage monitoring (Wandb.ai, MLFlow, etc), deployment, and assist with hyperparameter tuningImplement your own ML endpoints in our various React/NodeJS applicationsCollaborate with data scientists and cross-functional teams to deliver impactful and practical AI solutionsWork in tandem with the quality engineering team to ship high-availability softwareBuild and maintain automated unit tests: unit, integration and UIParticipate in PR reviews and ensure proper implementation of ML tooling across our stackCommunicate effectively with engineers, product managers, customers, partners, and other leaders.Stay up-to-date on the latest AI technologies and trends to help other areas of the company find leverage in new advancementsWhat We Look For:2+ years of experience in developing AI solutions preferably with LLMs5+ years of experience in Full Stack software development 5+ years of experience in Python3+ years of experience in Javascript/Typescript, Node.jsFamiliar with MLOps/deployment best practices (Sagemaker experience is a plus)Familiarity with vector databases and text embeddingsProven ability to manage/deploy machine learning modelsExperience with AI/ML frameworks such as TensorFlow, PyTorch, numpy or scikit-learnStrong communication and technical writing skills.Familiarity with unit testing, debugging, profiling and performance monitoring in AWS environment.Prior experience with Node.js, building features using REST and/or GraphQL APIs using Apollo preferredPrior knowledge or ability to quickly learn developing in a MLOps environment (MLflow or similar) preferred.Ability to work a hybrid schedule - Monday/Friday WFH, Tuesday - Thursday, in office.What we offer:Base Salary range $125,000 - $170,000 + bonusGenerous equity grant, become an owner in our company!A comprehensive benefits package.Flexible PTO and hybrid work schedules.Work from Home Stipend.Hubs in Los Angeles, Toronto, and Raleigh with hybrid work schedules with lunch provided for in-office days.Company events like BBQs and team-building activities, both in-person and virtual.Fast-paced, collaborative, and dynamic work environment.Opportunities for growth and career advancement.Chance to work with cutting-edge technology and innovative solutions.The chance to get in on the ground floor and build something truly groundbreaking for ourselves and our amazing customers.About BuildOps:BuildOps is a fast-paced, high-growth start-up committed to transforming a $300B+ industry through an innovative all-in-one SaaS platform. Leveraging the latest technology, we’re taking Commercial Specialty Contractors from the world of pen and paper to cloud-based, data-driven operations. Our leadership team has deep experience in both the Construction and SaaS technology industries, as well as a resume that includes Stanford, Harvard, Wharton, Cornell, Microsoft, and multiple successful start-up exits.BuildOps has more than doubled year-over-year while raising over $140 million in total funding (including a recent round in Feb 2024). Top-tier investors like Founders Fund, Siemens, B Capital Group (BCG's venture arm), 01 Advisors, and more have backed BuildOps! Also, Dick Costolo, former CEO of Twitter, just joined our board, adding to an impressive group of investors/advisors including former President of Salesforce, Gavin Patterson; CAA founder Michael Ovitz; NFL legend Joe Montana; former heavyweight champion Mike Tyson, and Boost Mobile CEO Stephen Stokols.Forbes Magazine“BuildOps is unique because it addresses the problem of efficiency in construction for an often-overlooked audience. Rather than focusing on large projects, or catering to owners, they look to the needs of technician-heavy subcontracting firms working in the commercial space.”TechCrunch“The new financing will be used to support the company’s continued growth. BuildOps sells software that integrates scheduling, dispatching, inventory management, contracts, workflow and accounting into a single software package for commercial real estate contractors with staff ranging from a few dozen to several hundred employees.”CrunchbaseIn a statement, [former NFL superstar] Joe Montana noted that his firm (Liquid 2 Ventures) has an investment thesis in supporting America’s working class… “I just love the idea of making their lives far easier and better,” he said. With BuildOps, “you have one solution that does it all and talks seamlessly to every single part of their business from parts to ordering to inventory and more.”",Entry level,Machine Learning Engineer
+316,2025-04-02,San Francisco,CA,Gametime,https://gametime.co/,"Gametime sells last-minute tickets to the most popular events in sports, music, and theater in more than 50 cities across the U.S. and Canada. We’re passionate about enabling incredible shared experiences, so we build technology that gets people out into the real world together. 
+
+With a bias for spontaneity, we’re focused on making the process simple and smooth while you’re on the move. We eliminated the need for printing tickets and built a better way to access the best live experiences right from your phone – so you can skip the hassle and enjoy the moment. 
+","About UsLive experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.The RoleThe Machine Learning Platform team is responsible for building the core components necessary to support and accelerate the full machine learning lifecycle. In this role, you will work closely with ML Engineers and Data Scientists as well as the Data Platform and Backend Engineering teams to maximize the impact of ML. At Gametime, the modeling teams are expected to work full-stack and end-to-end. This requires reliable, powerful infrastructure and abstractions provided by the Machine Learning Platform team. This is an opportunity to join as a founding member of the team and help shape its future direction.Above & Beyond: The Impact You'll Make:Collaborate with Machine Learning Engineers and Data Scientists to understand their platform needs and translate them into powerful, generalized solutionsOwn existing platform systems and develop the next generation of tools (e.g. training platform, feature platform, inference platform)Architect a platform that boosts overall model iteration speed and allows Machine Learning Engineers and Data Scientists to work in a self-serve mannerImprove the reliability around all components of an ML platform capable of powering critical product features used by millions of usersAlways Be Curious: Skills You've Learned Along The Way:Technical SkillsProven track record in designing and implementing mission-critical, high-reliability systems with rapid deploymentOutstanding programming proficiency, with particular expertise in PythonStrong working knowledge of AWS or equivalent cloud platformsHands-on experience with industry-standard tools and technologies (e.g., Kafka, Docker, gRPC, DynamoDB, Redis, Temporal, Snowflake, Airflow, SQL)Keen interest in machine learning and its associated technologies (such as PyTorch, Scikit-Learn, XGBoost, Jupyter), preferably with some practical experienceInterpersonal SkillsAbility to collaborate effectively across teams and communicate with key stakeholdersProblem-Solving And Decision-MakingA proactive self-starter with a strong ability to learn quickly and work independently, demonstrating the desire and readiness to manage an increasing level of responsibilityOne Team, One Dream: What We Need To Work Together:Experience: 5+ years of industry experiencePreferred QualificationsEducation: Bachelors in Computer Science or similarAt Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.United States - Pay Range$195,000 - $230,000 USDGametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.",Mid-Senior level,"Machine Learning Engineer, Platform"
+317,2025-03-31,Odessa,Florida,Funnel Leasing,http://www.funnelleasing.com,"More than a CRM — a business transformation tool.
+
+Funnel houses all renter-facing interactions in a simplified connected platform, from inquiry through renewals — creating a consistent, “ecommerce” apartment shopping experience that delights renters and leasing teams.","Position: Software Engineer (Entry to Mid-Level)⌛ Employment Type: Full-TimeLocation: Remote (Work from anywhere in the U.S.) Compensation: $80,000 - $110,000 base + EquityPlease noteWe are not engaging with external recruiters or third-party agencies for this role.Must be located in the U.S. - Visa sponsorships are not available for this position.About The RoleWe're looking for an Entry to Mid-Level Software Engineer to help build and maintain our software products. You'll work closely with experienced engineers, product managers, and designers to develop your skills and contribute to impactful projects. If you have a strong foundation in computer science, a passion for learning, and problem-solving skills, we'd love to hear from you.What You'll DoWrite code to develop new features for Funnel's software products.Write unit tests and end-to-end tests to ensure software reliability and quality.Fix bugs and contribute to improving software performance.Participate in code reviews and design discussions to improve your skills.Collaborate with cross-functional teams to deliver high-quality software.What We're Looking ForBachelor's degree in Computer Science, Software Engineering, or related experience.0-2 years of software engineering experience.Professional experience in Python (Django) for backend development and JavaScript (React) for frontend development.Understanding of web technologies (REST APIs, HTTP, HTML, CSS).Strong communication, collaboration, and problem-solving skills.Eagerness to learn and grow in a fast-paced environment.Why Funnel?We are a 'work from anywhere' in the U.S. SaaS company that centers our services on the renter experience. We develop amazing software that has revolutionized the #proptech industry. And did we mention we have an amazing team that is on #FunnelFire!? Oh, did we forget to tell you we have unlimited PTO, benefits that begin on your first day of employment, P.I.N.K. core values that ROCK, and our team puts the FUN in Funnel!Employees may be eligible for various benefits. Generally, we provide employee access to:Health insuranceDental and Vision insuranceCompany paid Life/AD&DLong-term Disability insuranceShort-term Disability insuranceTerm Life insuranceFlexible Spending Account (FSA)Health Savings Account (HSA)Retirement Plan - 2% company matchEAPIn Addition To These Benefits, We Also OfferRemote-first; work from anywhere within the US company cultureUncapped Discretionary Time offSick Leave13 paid holidaysOne time remote work stipendEmployee recognition programEmployee-led Groups (ELG's)Who is Funnel Leasing?Have you ever rented an apartment and wished the process could be better? At Funnel we do too. We know we need to make the process of renting an apartment as easy as purchasing socks on Amazon. We've created cloud-based marketing and leasing software that delivers the ultimate rental experience for everyone involved in the process. We're in the process of transforming the real estate industry through cutting-edge technology built, sold, and supported by the most passionate people you'll meet.Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Funnel, we are committed to building a proptech company that is as diverse as the multifamily industry we serve, and that means to not only live our inclusivity, but also to support and encourage it among all of society. If you are excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may just be the right candidate for this or other roles.Equal Employment OpportunityFunnel provides equal employment opportunities to all qualified individuals without regard to race, creed, color, citizenship, religion, national origin, age, sex, familial or marital status, pregnancy, military or veteran status, sexual orientation, gender identity or expression, genetic information, disability, or any other legally-protected status in accordance with applicable local, state, and federal laws, regulations, and ordinances.Americans With Disabilities ActEmployees must be able to perform all essential job functions, with or without reasonable accommodation.Job ResponsibilitiesThe above statements reflect the general duties, responsibilities and competencies considered necessary to perform the essential duties and responsibilities of the job and should not be considered as a detailed description of all the work requirements of the position. Funnel may change the specific job duties with or without prior notice based on the needs of the organization.",Entry level,Software Engineer (Entry to Mid-Level)
+318,2025-03-28,Austin,Texas,NetBounce Global,https://netbounceglobal.com/,"Netbounce Global provides offshore staffing solutions to CPA and small accounting firms in the U.S. and Canada. We help you hire skilled and experienced offshore staff at a cost-effective price. We have served 50+ firms streamline their operations, reduce staffing costs by up to 60%, and improve efficiency with dedicated offshore teams they can rely on. We have our headquarters in Austin, Texas and an offshore delivery center in India.
+
+At Netbounce, we don’t just hire offshore staff—we build sustainable, high-performing teams that drive your business growth. We hire professionals who understand where their contribution fits and how it impacts your success. Through our rigorous recruitment process, we handpick individuals with strong academic backgrounds, sharp analytical skills, and a problem-solving mindset.
+
+To fuel your growth, we also offer marketing services—including SEO, social media, content creation, design, and website development—helping you build a stronger digital presence while we handle your back-office operations.
+
+From bookkeepers, accountants, tax preparers, payroll managers, and VAs to dedicated marketing staff, we provide you with a team that strengthens both your back-office operations and digital presence—helping your firm scale with efficiency and confidence.
+
+","Job Overview:As a Machine Learning Engineer at [Netbounce Global], you will work on designing, developing, and deploying machine learning models and systems to solve complex real-world problems. You will collaborate closely with data scientists, software engineers, and product managers to build robust, scalable, and efficient ML solutions.Key Responsibilities:Develop and implement machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer vision.Analyze large datasets to derive actionable insights and build data-driven solutions.Collaborate with cross-functional teams to integrate machine learning models into production environments.Optimize machine learning algorithms for speed, accuracy, and scalability.Conduct performance evaluations and fine-tuning of models to ensure they meet business objectives.Keep up to date with the latest developments in machine learning, AI, and related technologies, and integrate these innovations into the team's workflow.Provide mentorship and guidance to junior engineers and team members.Write clean, maintainable, and efficient code while following industry best practices.Required Qualifications:Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.Proven experience (0-4 years) working as a Machine Learning Engineer or in a similar role.Strong proficiency in programming languages such as Python, R, or Java.Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.Solid understanding of machine learning concepts including supervised/unsupervised learning, deep learning, and reinforcement learning.Strong knowledge of algorithms, data structures, and software engineering best practices.Experience with data wrangling, preprocessing, and feature engineering.Familiarity with cloud computing platforms (AWS, GCP, Azure) for ML model deployment.Knowledge of SQL and experience working with large datasets.Experience with version control systems (e.g., Git).Preferred Qualifications:Masters in Computer Science, Artificial Intelligence, or a related field.Experience with deploying machine learning models in a production environment.Knowledge of containerization technologies such as Docker and Kubernetes.Familiarity with big data technologies such as Hadoop, Spark, or Kafka.Strong analytical, problem-solving, and communication skills.Benefits:Competitive salary and performance-based bonuses.Health, dental, and vision insurance.401(k) with company matching.Generous paid time off and holiday schedule.Opportunities for professional development and continuing education.Collaborative and dynamic work environment.",Entry level,Machine Learning Engineer
+319,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+320,2025-01-29,Santa Clara,CA,Tiger Analytics,http://www.tigeranalytics.com,"In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. 
+
+Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. 
+
+If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.","Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!What You'll Do:Collaborate with cross-functional teams to design and deploy ML models. Develop reusable, scalable code for AI/ML applications. Leverage GCP services to build end-to-end machine learning pipelines. Optimize models for performance and scalability using Vertex AIRequirementsKey Requirements: Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools.  Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI.  Model Development & Deployment: Proven ability to design, build, and productionize machine learning models.  API Development: Skilled in developing robust APIs for seamless integrations.  Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us?Work remotely while contributing to cutting-edge projects. Collaborate with a dynamic team passionate about AI/ML innovation. Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that's shaping the future of AI!BenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.",Mid-Senior level,Machine Learning Engineer
+321,2024-10-14,Fort Worth,Texas,ConGlobal,http://www.conglobal.com,"ConGlobal is North America’s leading operator of intermodal, finished vehicle, and depot service terminals.  With operations in over 120 locations across the US, Mexico, and Costa Rica and over 50 years of industrial experience, ConGlobal serves as the industry’s go-to expert in terminal operations.  ConGlobal's service and product offerings anchor on complementing specialized industrial equipment operations with advanced, technology-enabled systems and processes.  ","OverviewConGobal, the go-to expert for multimodal, industrial terminal operations, is seeking to hire a Machine Learning Engineer.ConGlobal has been firmly planted in the intermodal industry for more than half a century. From the time Malcom McLean brought the shipping container to the world, we’ve kept our finger on the pulse of the industry and the needs of our customers. The result is an ever-growing list of services and technology to meet ever-evolving needs. We have a passion for innovation and continue to lead out in developing products that enhance our operations, unlock new markets, and disrupt the status quo. Multi-modal expertise. Operations across the U.S., Mexico, and Costa Rica. The largest depot terminal network in North America. Industrial operations insights. Specialized technology. We bring these assets together to unlock value, increase operational efficiency, and drive down costs.We are seeking a machine learning engineer who is well-versed in NVIDIA products, specifically in the areas of TAO, DeepStream and RIVA. This is an exciting opportunity to join our dynamic team and contribute to the development of cutting-edge solutions leveraging NVIDIA's advanced technologies.The main objective of the machine learning engineer is work in collaboration with the engineering team to plan, develop, and apply your knowledge of machine learning and computer vision to help create solutions based on client requirements. This position requires you to be involved in the full machine learning development cycle from data gathering to deployment and maintenance.As a machine learning engineer specializing in TAO, DeepStream and RIVA, your primary responsibility will be to design, develop, and deploy innovative solutions that harness the power of NVIDIA's platforms for various applications. You will collaborate closely with cross-functional teams, including software engineers, data scientists, and product managers, to create high-performance and scalable solutions that meet our clients' requirements. This position will be hybrid in our Fort Worth, TX or Tampa, FL offices. Responsibilities Collaborate with the sales and business development teams to understand customer requirements, participate in pre-sales activities, and provide technical expertise during client engagements.  Design and implement end-to-end solutions that involve data ingestion, preprocessing, model inference, and visualization using NVIDIA's hardware and software stack.  Proficiency in programming languages such as Python and C++ for developing applications on NVIDIA platforms.  Collaborate with software engineers and data scientists to integrate AI/ML models into DeepStream and RIVA pipelines, ensuring optimal performance and accuracy.  Experience training and diagnosing computer vision and/or conversational AI models.  Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues.  Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.  Self-motivated and eager to learn, with a passion for staying up-to-date with the latest advancements in AI, machine learning, and NVIDIA technologies. Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.  Strong experience and in-depth knowledge of NVIDIA TAO, DeepStream and RIVA, including familiarity with their architectures, APIs, and tools.  Proficiency in programming languages such as Python abd C++ for developing applications on NVIDIA platforms.  Demonstrated experience in designing and developing real-time video analytics solutions, preferably using DeepStream and RIVA.  Solid understanding of computer vision, NLP, and deep learning concepts, along with practical experience in integrating AI/ML models into video analytics pipelines.  Experience with deploying and optimizing solutions on NVIDIA GPU-accelerated hardware, such as NVIDIA Jetson or NVIDIA GPU clusters.  Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues.  Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.  Self-motivated and eager to learn, with a passion for staying up-to-date with the latest advancements in AI, machine learning, and NVIDIA technologies. #PR",Entry level,Machine Learning Engineer
+322,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+323,2025-03-22,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.AboutThe Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where """"there are no hard-to-sell, overpriced products.""""Responsibilities Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition. Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow. Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.QualificationsMinimum Qualifications Bachelor or advanced degree in computer science or a related technical discipline. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.Preferred Qualifications 3+ years of work experience in machine learning. Good product sense with a focus on user experience. Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $137750 - $237500 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Search Recommendation"
+324,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $173,000-$259,000 annually.Zone B:The base salary range for this position is $164,000-$246,000 annually.Zone C:The base salary range for this position is $147,000-$220,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 4"
+325,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+326,2025-03-21,Columbia,MD,Omm IT Solutions,https://ommincorp.com,"Omm IT Solutions (Omm) is a Columbia, Maryland based  8(a) certified Women Owned Small Business (WOSB), providing Information Technology (IT) consulting and contracting services on Federal,  State government and commercial contracts .  We provide custom solutions and services while keeping focus on the goals and objectives of our clients in mind.  Omm specializes in  modern & niche technologies such as  Machine Learning, Natural Language Processing, Full Stack Web Development using React.js, Node.js, Angular.js, AI, Data Science & Analytics, and Private & Public Cloud consulting, to name a few. Our team consists of leaders who provide a unique balance of expertise, vision and humility. At Omm, we strongly believe in what we do and how we do it, consistently delivering results with integrity, focus, teamwork, and respect.  
+
+Additionally, Omm is a ISO 9001:2015 certified, MDOT certified Minority and Small Business Enterprise (MBE, SBE, DBE).
+
+Please visit the following link for our current career opportunities: https://www.dice.com/company/90934554
+
+
+","Clearance:  Active TS/SCI and Full Scope Polygraph Clearance Required (Expired within 18 Months is also acceptable) Job Description: A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.Responsibilities: Produce data visualizations that provide insight into dataset structure and meaning.  Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs).  Incorporate SME input into feature vectors suitable for analytic development and testing.  Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.  Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.  Develop statistical tests to make data-driven recommendations and decisions. RequirementsRequired Education & Years of Experience:  Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.  A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience analyzing datasets and developing analytics, and one (1) year of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.  In lieu of a Bachelor’s Degree, an additional four (4) years of relevant experience may be substituted for a total of eight (8) years of relevant experience analyzing datasets and developing analytics, and two (2) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.",Executive,Data Scientist Level 1
+327,2025-04-01,Palo Alto,,BitGo,http://bitgo.com,"BitGo is the leading infrastructure provider of digital asset solutions, offering custody, wallets, staking, trading, financing and settlement out of regulated cold storage. Founded in 2013, BitGo is the first digital asset company to focus exclusively on serving institutional clients. 
+
+BitGo is dedicated to advancing a digital financial services economy that is borderless and accessible 24/7. With multiple Trust companies around the world, BitGo is the preferred security and operational backbone for more than 1,500 institutional clients in 50 countries, including many of the world’s top brands, cryptocurrency exchanges and platforms. BitGo also secures approximately 8% of all on-chain Bitcoin transactions by value and is the largest independent digital asset custodian. For more information, please visit www.bitgo.com.
+","BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.This role will require being full-time onsite at our Toronto office to support collaborative team dynamics and innovative problem-solving.BitGo is looking for a Software Engineer to join our Onboarding team and help us build an API-first platform for businesses and developers to launch crypto products.Responsibilities:Design and build scalable, well abstracted, and robust APIs, libraries, and services to empower our API-first platformOwn functionality and scalability features by taking responsibility from inception to deployment and customer integrationExpose and document functionality to the UI, third-party developers, and our internal and external toolingCollaborate with cross-functional teams to define, design, and ship new featuresWrite clean, maintainable, and efficient codeEnsure the performance, quality, and responsiveness of applicationsIdentify and correct bottlenecks and fix bugsContinuously discover, evaluate, and implement new technologies to maximize development efficiencyParticipate in code reviews and contribute to a culture of continuous improvementWork closely with product managers, designers, and other engineers to understand and refine product requirementsProvide mentorship to your peers in the broader engineering team through code reviews and education on best practicesSkills & Experience: We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.RequiredAt least 3+ years of proven experience of back-end and server-side developmentGreat at algorithm design, problem solving, and complexity analysisStrong experience with of TypeScript, Node.js and ExpressStrong experience with Node.js, TypeScript, PostgreSQL and MongoDBStrong experience with RESTful API designExperience with microservices and service-oriented architecturesExperience with unit and functional testing and debuggingExperience in Git/GitHub and branching methodologies, code review tools, CI tools, etc.Ability to move quickly and adjust course as needed in a fast-paced environmentBachelor’s degree in computer science, applied mathematics, or another technical discipline from a top universityUnderstanding of and strong interest in cryptocurrencies and blockchainPreferredExperience developing consumer-facing crypto productsProven experience building public-facing APIs in a production environmentAbility to work full-stack and familiarity with React Experience working with clients and/or business partnersFamiliarity with any of the following: digital wallets, clearing and settlement, lending, trading, accounting systems, etcWhy Join BitGo?Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $180,000 - $220,000 CAD base salary. Equity and an annual performance bonus are also a part of this role's package.Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you’ll be able to look back and say you were part of the team that transformed investing.",Mid-Senior level,Software Engineer - Onboarding
+328,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our teams develop a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, vertical solutions, creative solutions, and business integrity.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. It Runs For 12 Weeks Beginning In May/June 2025 . Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23Please state your availability clearly in your resume (Start date, End date).Responsibilities: Participate in the development of a large-scale Ads system. Participate in the development and iteration of Ads algorithms by using Machine Learning, including ads query understanding, ads targeting, ads ranking, model serving reliability, etc. Explore, develop and experiment with new features to improve model accuracy. Partner with product managers and the product strategy & operation team to define product strategy and features.QualificationsMinimum Qualifications:Currently pursuing a BS/MS degree in Computer Science, Computer Engineering or other relevant majors. Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. Good analytical thinking capability. Have essential knowledge and skills in statistics. Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.). Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism. Strong communication and teamwork skills. Passion about technologies and solving challenging problems.Preferred Qualifications: Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB). Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).General Hire: If you see the “general hire” in the title of this position, it means that the position is for multiple departments. After applying for this role, your profile will be considered for multiple openings across the department; team-matching will be conducted by hiring managers based on your interview results.The department this position is considered for include but not limited to: Global Monetization Product and Technology-Web Ads and E-Commerce Technology-Closed-loop Monetization TechnologyTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job InformationAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,(General Hire) Machine Learning Engineer Intern (Ads Interface) - 2025 Summer (BS/MS)
+329,2025-04-07,Brentwood,Essex,Impax Recruitment,http://www.impaxrecruitment.com,"𝐖𝐡𝐨 𝐰𝐞 𝐚𝐫𝐞?
+Since 2021, we’ve been the go-to recruitment partner for Web3, blockchain, and AI companies, connecting top talent with the most innovative organisations in the space. As these industries evolve at lightning speed, we help businesses secure the right people to drive growth, innovation, and long-term success.
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+𝐖𝐡𝐚𝐭 𝐰𝐞 𝐝𝐨...
+We specialise in Web3, blockchain, and AI recruitment, sourcing top engineers, developers, marketers, and business development professionals for both start-ups and established tech companies. Our tailored approach ensures the perfect match between high-calibre talent and businesses shaping the future of decentralisation, AI, and emerging technology.
+
+𝐖𝐡𝐲 𝐢𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬!
+Recruitment in Web3, blockchain, and AI isn’t just about filling roles—it’s about building the teams that will define the future. We focus on long-term success, ensuring both businesses and candidates find the right fit to thrive. With a deep network, industry expertise, and a people-first approach, we create stronger teams, more resilient companies, and a lasting impact on these industries.
+
+📲 Follow us for more insights & job opportunities!
+
+🔹 X – @ImpaxRecruit
+🔹 Instagram – @Impaxrecruitment
+🔹 TikTok – @Impax.recruitment","ML Infrastructure EngineerWe are building AI physics models that don't just predict, but understand cause and effect within climate.What You’ll DoArchitect and operate distributed training clusters (e.g. 12+ nodes, 8 GPUs per node) using GKE, Kubernetes, and cloud-native infraDesign scalable, efficient data pipelines for petabyte-scale datasetsImplement and optimize model/data/pipeline parallelism across foundation modelsDeploy, monitor, and debug large-scale multi-node GPU training jobs using DDP, FSDP, and DeepSpeedTune low-level system components (e.g. CUDA, NCCL, network interfaces) for max throughputBuild cluster observability tools: failure detection, logging, monitoring, and autoscalingCollaborate with research and modeling teams to productionize experiments at scaleYou’d Be Great If YouHave deep hands-on experience with distributed training frameworks (FSDP, DeepSpeed, DDP)Know how to set up and debug Kubernetes/GKE GPU clusters, from CUDA to networkingAre fluent in PyTorch and familiar with its performance quirks (e.g., dataset loading, sampler design)Have worked on ML infra at scale (multi-node, multi-GPU setups, 100B+ param models)Understand sampling techniques, data sharding, and performance tuning across the ML stackCan spot a NCCL timeout from a mile away and know how to fix itValue rapid iteration, ownership, and scaling up ambitious systems with a lean team",Not Applicable,Machine Learning Engineer
+330,2025-03-27,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
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+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace of consumers, merchants, and dashers. The Forecasting Platform provides a unique opportunity to have a broad impact on the business ensuring we can quickly respond to a rapidly changing operational environment. The team supports projects across all of our major pillars (e.g. supply / demand, auto-scaling infrastructure, support optimization) as well as the development of an internal decision platform for time series.About The RoleAs a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers.You’re Excited About This Opportunity Because You Will…Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotionsOwn the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilitiesResearch new tools within the Forecasting space (e.g. TimeGPT, LLM extensions)You can find out more on our ML blog post hereWe’re Excited About You Because…High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double downYou’re an owner — driven, focused, and quick to take ownership of your workHumble — you’re willing to jump in and you’re open to feedbackAdaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth settingDesire for impact — ready to take on a lot of responsibility and work collaboratively with your teamExperienceM.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in productionDemonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etcDeep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting Experience of shipping production-grade ML models and optimization systemsNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Mid-Senior level,"Machine Learning Engineer, Forecast Platform"
+331,2025-04-01,Chicago,Illinois,Northwestern Medicine,http://www.nm.org,"Northwestern Medicine is the collaboration between Northwestern Memorial HealthCare and Northwestern University Feinberg School of Medicine around a strategic vision to transform the future of healthcare. It encompasses the research, teaching, and patient care activities of the academic medical center. Sharing a commitment to superior quality, academic excellence and patient safety, the organizations within Northwestern Medicine comprise a combined workforce of more than 30,000 among clinical and administrative staff, medical and science faculty and medical students. Northwestern Medicine is comprised of more than 100 locations throughout the region, with five Northwestern Medicine hospitals ranked among “America's Best” by U.S. News & World Report, 2023 – 2024, our legacy of better medicine continues. What makes us better, makes you better.","Company DescriptionAt Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?Job DescriptionThe Senior Machine Learning Engineer, reflects the mission, vision, and values of NM, adheres to the organization’s Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards.Northwestern Medicine Information Services drives innovative, high-value solutions to transform health care.We are committed to supporting the relentless pursuit of better medicine by providing exceptional service to our patients and guests as well as internal clients across the organization. To ensure excellence, our team goes to extraordinary lengths to ensure that our systems work together seamlessly.Northwestern Medicine understands that technology plays an integral role in shaping the future of health care. Information Services strategically supports the organization by:Enabling digital solutions by leveraging capabilities such as AI, automation, and rollout of advanced cyber controls that support digital transformation strategiesImplementing advanced technologies in clinical and administrative areasFurther develop end user support model to help enhance modern infrastructureResponsibilities:This role is dedicated to the Canning Thoracic Institute. As a leader of the Machine Learning Engineering team, you will work with technical and nontechnical stakeholders to design, build, and manage the infrastructure, platforms, and tools that power advanced technology solutions to enhance medical training, improve quality of care, and enable timely interventions for pulmonary and thoracic patients. QualificationsRequired:Master’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related fieldAt least 5 years of experience developing, scaling, or deploying machine learning modelsProfessional experience with AWS, Azure, or GCPAbility to drive software engineering best practices and share learnings about theoretical and technical developments in ML engineering with team membersExperience providing technical expertise in the design and development of end-to-end technical solutionsDemonstrable experience leading the development of reusable common frameworks, models, or components that can be leveraged to solve common ML problemsBasic understanding of computer architecture and how it affects software performanceDemonstrable experience with version control in a team environmentProficiency in SQL, Python, and a deep learning framework (e.g. TensorFlow, PyTorch)Demonstrable professional experience with CI/CD and RESTful APIsBasic understanding of MLOps and associated tools (e.g. MLflow)Hands-on experience with containerization (Docker preferred)A commitment to writing readable, tested, and well-documented codeDeep understanding of fundamental computer science concepts, including data structures, algorithms, automated testing, and object-oriented programmingDemonstrable experience working independently and managing multiple prioritiesComfortable communicating clearly and succinctly with audiences of varying technical backgroundsMotivated by a curiosity for understanding how complex systems workAbility to teach and mentor othersPreferred:PhD in Computer Science, Engineering, Mathematics, or a related fieldHealth care data integration experience (PHI/HIPAA, HL7 FHIR)Familiarity with FDA regulation for software as a medical deviceProduction experience with Databricks, Spark, and/or KubernetesKnowledge of audio processing workflows and modelsKnowledge of computer vision workflows and modelsFamiliarity with asynchronous programming patternsFamiliarity with GitHub or Azure DevOpsHands-on experience with TerraformExperience with C, C++, C#, or GoHealthcare experienceEpic experienceAdditional InformationNorthwestern Medicine is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.If we offer you a job, we will perform a background check that includes a review of any criminal convictions. A conviction does not disqualify you from employment at Northwestern Medicine. We consider this on a case-by-case basis and follow all state and federal guidelines.",Not Applicable,"Senior Machine Learning Engineer, Full-time, Days"
+332,2025-04-01,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.Machine Learning/Artificial Intelligence powers numerous aspects of the Consumer Experience, including innovation in content discovery and personalization for members, identifying and attracting new members to our product, optimizing our payment processing, and many more.The OpportunityThe Consumer ML Model Compute & Serving Systems team provides the foundation for model computation, inference, and serving for all ML/AI innovation across the various Consumer ML domains. The team is responsible for developing all the building blocks required to run ML models at scale. These building blocks include a model serving platform, an event-driven model compute framework, a compute orchestration engine, and many more.We are looking for strong software engineers for this team, which is a central focus of our business. You will play a highly cross-functional role, partnering with other engineers, product management, machine learning, and data teams to take Netflix’s ML/AI initiatives to the next level.If you have a passion for building scalable, robust systems, are interested in pushing the envelope in applying ML algorithms, and operate in a critical part of the stack that strongly influences what our customers see on their screens, then we want to talk to you.You May Enjoy Working With Us IfYou strive to embrace best practices and are curious about discovering new and better ways to solve problems.You are self-driven and highly motivated to deliver top-tier solutions while learning from and collaborating with Stunning Colleagues.You are strongly motivated to pick up new domains and ship high-quality, well-tested code.You are excited to work in a multidisciplinary environment (engineering, algorithms, data engineering/science, product experimentation).You are comfortable working in a majority-remote team with partners distributed across (US) geographies & time zones.We Would Love To Work With You IfYou have experience building high-traffic distributed systems and ML infrastructure. You have experience supporting large-scale ML models with a direct impact on the customer experience with high availability, throughput, and performance.You are adept at building applications in an object-oriented programming language. We work with Java primarily, so an interest in learning and coding in Java is required.You have strong DevOps experience including performance tuning and optimizations, managing deployments, and capacity planning for large applications.You are experienced working with the public cloud like AWS, Azure, or GCP.You are a proactive, effective communicator and have a strong bias towards action.You have a BS/MS in Computer Science, Applied Math, Engineering, or a related field.Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.Netflix is a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Software Engineer L4/L5, Model Serving Systems, Machine Learning Platform"
+333,2025-03-12,El Segundo,California,"Liquid Advertising, Inc.",http://www.liquidadvertising.com,"Liquid Advertising is an independent global full-service agency specializing in gaming clients and targeting the gaming demographic. Founded by industry veterans and staffed by the next generation of pioneers, we offer clients a rare partnership of perspective and innovation. ","First, a little about us:Born in 2000 as an ad agency for the video game, entertainment, and technology communities90 teammates strong across the US, LATAM, and European marketsOur employee turnover has historically been :8% annuallyAd agency partner for Bethesda Softworks, Square Enix, CD Projekt Red, Riot Forge, Capcom, Sega, and other top gaming and entertainment partners. See our work at www.liquidadvertising.com This is a remote position, based in MichiganWhat's this position about?We run dozens of digital advertising campaigns, spending millions of dollars, daily on behalf of our clients—some of the most successful videogame publishers in the industry. Our analytics team helps ensure that we're investing those advertising dollars in the most effective and efficient way possible. This can result in analytics projects that vary widely in complexity, using datasets with millions of rows of data. As the successful candidate, you'll build the software that enables our analytics tools.This position will work on complex, challenging software development projects, delivering solutions for both the analytics team and non-technical end users. Our software connects data pipelines that transform millions of lines of data to front-end web applications that enable technical and non-technical end-users better ways to interact with internal and external data.Our tech stack is a Python backend, Javascript front-end, and PostgreSQL database hosted on AWS.We consistently allow for team members to take on additional projects where they find interest and have been able to provide immense value to the agency this way.RequirementsWhat do we look for?You will have a technical degree (bachelors level or better) including significant coding projects, and preferably with professional coding experience. Your technical skills will include—Core qualifications include strength with Python coding and experience with SQL and other data-focused scriptingPreferred candidates will also have an understanding of Flask, JavaScript, and/or other web toolsYou'll have developed software projects from beginning to end either independently or with a broader team (please provide evidence of this in your application -- github, website, or code samples from a class project)BenefitsThe perks we offerBase salary for this role is in the $50-$65k range DOE. You'll also be eligible for a generous annual bonus plan.Our people also enjoy fully paid premiums for comprehensive health insurance, generous paid time off plans, and a match on 401k savings.Our stanceLiquid Advertising is committed to creating an anti-racist, anti-sexist environment. We're building an ad agency where committed and creative people from all backgrounds can do their best work.No agencies, please. This is a pretty good representation of this position's responsibilities but is not a comprehensive job description. Duties, clients, and team assignments may change as assigned. We regret we cannot consider applicants outside of the United States or those requiring visa sponsorship at this time.",Associate,Jr. Software Engineer - Python
+334,2025-04-03,London ,England,SIBLING,http://www.siblingrecruitment.com,"We are Sibling, a modern IT Technology Recruitment Agency servicing Clients across Europe and the USA. We provide permanent, contract, and retained recruitment services. With over 20 years of combined recruitment experience, we’re on the pulse of modern technology.
+
+Our Sectors:
+✔️Data Science/Data Engineering
+✔️DevOps/SecOps/MLOps
+✔️Cyber Security
+✔️Software Development
+✔️Embedded Software
+
+Our Candidate services:
+✔️Information on market salaries/rates and skills/technical trends.
+✔️Upfront salary and package details.
+✔️Detailed job descriptions, company info, and further technical insights. 
+✔️Insights into working environment, company culture, and career prospects.
+✔️CV and Interview advice. 
+
+Speak to us: 
+📞+44 203 865 7392
+📧 hello@siblingrecruitment.com
+
+Find out more:
+🌐www.siblingrecruitment.com ","Machine Learning Engineer – Generative AILocation: Charlotte, NC, USA (Hybrid) - 1/2 days a week on siteEmployment Type: Full-timeAI + Fintech = The Future. Want in?Sibling is seeking a GenAI Engineer to help build game-changing AI solutions for a cutting-edge fintech in Charlotte. Experience in TensorFlow, RAG, and LLMs is highly sought. What’s being offered:Work with state-of-the-art AI in a high-growth fintech.Competitive salary + strong benefits.Hybrid setup – work from home & collaborate in Charlotte.What you’ll be doing:Building and fine-tuning LLMs for real-world fintech applications.Implementing RAG, vector databases (FAISS, Pinecone, Weaviate) & embeddings.Deploying AI solutions using TensorFlow, PyTorch, or JAX.Optimizing AI-powered decision-making for financial services.Scaling AI with MLOps, APIs, and cloud What we’re looking for:Proven experience with GenAI, NLP, & deep learning.Hands-on with model deployment & cloud AI stacks.Fintech background? Advantageous Please get in touch",Director,Machine Learning Engineer
+335,2025-03-24,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2935863",Not Applicable,"Machine Learning Engineer, AGIF | Finetuning"
+336,2025-03-28,San Francisco,CA,Hightouch,http://www.hightouch.com,"Hightouch is a data and AI platform for marketing and personalization. Find insights, run campaigns, and build AI agents with all of your data. ","About HightouchHightouch’s mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust Hightouch to power their growth.We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With Hightouch, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.Our team focuses on making a meaningful impact for our customers. We approach challenges with a first-principles mindset, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.What else? We’re based in San Francisco but have team members all over the world. Our Series C put us at a $1.2B valuation, and we are backed by leading investors such as Sapphire Ventures, Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.About The RoleWe’re looking to hire a machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.Some of the problems we’ll be working on include:Personalization and Product Recommendation: There are often many options for what content a company could message a user with, including which products to show from catalogues. Given this large state space, how can Hightouch help personalize messages with the most relevant content for each user?Automated Experimentation: Helping companies intelligently navigate and automate experiments across the extensive number of options for messaging customers.Predictive Audiences: Building models to predict which users are most likely to convert, churn, or take desired actions.Content Generation: Particularly with recent advances in LLMs, how can we help marketers generate text, images, and creatives that are compelling to their customers?Budget Optimization: Helping companies assess which marketing spend is driving the most incremental conversions, and where the marginal CAC is lowest.As an early machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $200,000 - $260,000 USD per year, which is location independent in accordance with our remote-first policy.Interview ProcessOur interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.Intro Call [15-30m]: Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.System Design Screen [45m]: Designing a data processing feature end-to-end.Machine Learning Modeling Interview [90m]: Designing a predictive model end-to-end, including data collection and preparation, model training and evaluation, and what systems would be needed to run the model in production.System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.",Mid-Senior level,"Machine Learning Engineer, AI Decisioning"
+337,2025-03-30,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.About The Team:The Data-Search-TikTok-Local Services team enhances local services by improving user discovery of hospitality, dining, and leisure experiences while driving ecosystem growth. They leverage large-scale machine learning to refine search and recommendation systems, focusing on personalized relevance, CTR/CVR prediction, and optimized conversion efficiency for billions of users.Responsibilities: Support the local video service business to enhance user discovery of life services such as hospitality, dining, and leisure. Improve the search experience in local services and promote ecosystem growth. Utilize large-scale machine learning techniques in search and recommendation scenarios with billions of users to: Improve user shopping experiences & Enhance conversion efficiency. Design and implement local services search algorithms across the full stack, including: Query analysis, relevance, recall, coarse ranking, fine ranking, and blended ranking. Personalized behavior modeling for relevance computation.CTR (Click-Through Rate) prediction, CVR (Conversion Rate) prediction. Vector recall and value blending.QualificationsMinimum Qualifications Excellent analytical and problem-solving skills. Strong foundation in machine learning and deep learning, with experience in: NLP (Natural Language Processing).Personalization. Exceptional coding skills with solid knowledge of data structures and algorithms. Proficiency in Linux development environments.Preferred Qualifications Prior experience in search, recommendation, or advertisement algorithms. Familiarity with local life services and e-commerce businesses.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please submit a request at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineering Graduate (ML Engineer - Local Services Search) - 2025 Start (BS/MS)
+338,2025-04-08,Austin,Texas,webAI,https://linktr.ee/thewebai,"webAI is designed to streamline the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices. Our goal is to revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI).
+
+By approaching AI execution in a heterogeneous manner, we aim to create scalable AI products that are industry leading. Our platform is dedicated to enhancing the performance and accessibility of AI technologies, making them more efficient and user-friendly for both businesses and individuals.","About UsWe are establishing the first distributed Al infrastructure dedicated to personalized Al.The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.About The RoleWe're seeking an experienced AI Software Engineer to join our engineering team. As an AI Software Engineer at our company, you'll be at the intersection of cutting-edge AI research and software engineering. You'll work on transforming state-of-the-art ML models into highly efficient, production-ready systems that can operate at scale. This role combines the precision of systems engineering with the innovation of AI development, requiring both strong software engineering fundamentals and ML expertise. You'll collaborate with our research teams to implement novel AI architectures while ensuring our systems maintain high performance, reliability, and efficiency. This is an opportunity to shape the future of AI infrastructure while working on problems that push the boundaries of what's possible in machine learning.Key ResponsibilitiesBuild, document, optimize, and maintain (through CI/CD and testing) AI related software packages and servicesDesign and implement efficient, production-ready AI/ML systemsCollaborate closely with research, engineering, and product teams to understand requirementsIntegrate and optimize AI/ML algorithms and research derived by R&D into platform packages and servicesDebug complex issues within our AI stackQualificationsBachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related fieldMinimum of 5 years of experience in software engineering with a focus on AI/ML.Strong proficiency in C++ and Python for software developmentExperience binding C/C++ into Python (binding in other languages a bonus)Proficiency with C++ build systems like CMakeProven experience with PyTorch; familiarity with MLX is a plusStrong understanding of computer science fundamentals and algorithmsFamiliarity with AI/ML concepts, including LLM and computer vision model architecturesFamiliarity with distributed systems and parallel computing conceptsPreferred Skills And ExperienceExperience with CUDA programming and GPU driven compute accelerationKnowledge of ML model quantization and optimization techniquesFamiliarity with MLOps tooling and practicesContributions to open-source ML projectsExperience developing software within distributed systemsExperience contributing to AI frameworksWe At WebAI Are Committed To Living Out The Core Values We Have Put In Place As The Foundation On Which We Operate As a Team. We Seek Individuals Who Exemplify The FollowingTruth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.BenefitsCompetitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFlexible work weekFree parking, for in-office employeesUnlimited PTOParental, Bereavement LeaveSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.",Entry level,AI Software Engineer
+339,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our team is responsible for providing TikTok search users with first-class search experience by building a strong and robust infrastructure and platform to support product fast iteration and key feature development. In our team, you'll have the opportunity to take part in developing the key features on TikTok Search, understand how TikTok Search could be evolved to be a multi-billion-user product and first-handed experience how user request varies on this giant from time to time. We also build a search inspiration recommendation system for creators, providing them with insights based on real users' search queries. This key capability enriches both the quality and quantity of TikTok's search content ecology and enhances users' search experiences. We promote a culture of self-driven innovation, intellectual curiosity, openness, and problem-solving.Responsibilities Support business development of TikTok Search, provide the best search experience for TikTok users and further enable content growth. Leverage modern machine learning, LLM and recommendation/search/ads experience to improve search products. Build search inspiration recommendation system, and develop algorithms to improve recommendation quality.QualificationsMinimum Qualifications Hands-on experience of leading the development of one or more of Search, Recommendation, Ads, NLP, LLM and large-scale distributed systems. Proficiency in one or more programming languages, including Python, C/C++, Golang, Java or Scala.Preferred Qualifications Bachelor's or advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. 2 years of machine learning related industry experience Experience in search/recommendation/ads and machine learning systems. Ability to apply machine learning algorithms to real business products and drive business growth. Enthusiastic about building a product from scratch or keeping iterating a product.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - TikTok Search Business
+340,2025-03-12,Leeds,England,Strativ Group,http://www.strativgroup.com,We are a multi award-winning team that does talent solutions. We live for innovation and work with ambitious businesses that make the world a better and safer place.,"Machine Learning Engineer - Applied LLMs**4+ years' commercial AI/ML Engineering experience requiredWe are currently partnered with a fast-growing VC-backed seed-stage startup on a mission to transform GTM with a cutting-edge AI Agent. Their product is used by some of the world's fastest-growing companies like Rippling, Docker, Drata etc.Their technology helps sales teams optimize data, scale their outreach, engage leads more effectively, and drive revenue faster. They are looking for a Machine Learning Engineer (someone who bridges the gap between Machine Learning and Software Engineering) to help shape the future of AI-powered GTM automation. You will be responsible for the design, build, and deployment of AI models to power the autonomous sales agent, and will develop and optimize LLM pipelines for real-time, personalized outreach. You'll also work closely with the product and engineering teams to integrate AI capabilities into the platform and will lead prompt engineering, fine-tuning, and multi-agent architectures.Key experience;4+ Years' commercial exp. in AI / Machine LearningExperience building and shipping AI/ML models (e.g., LLMs, RAG pipelines, NLP applications)Proficiency in Python and frameworks such as PyTorch or TensorFlowExperience with vector databases and tools like LangChain or LlamaIndexStrong problem-solving skills and a builder’s mindsetExperience in a startup or fast-paced environment is a plusWe are looking for people with a track record of building and shipping quickly, and who have experience working in dynamic startups.Please apply for more info.",Mid-Senior level,Machine Learning Engineer - LLMs
+341,2025-02-12,Stamford,Connecticut,Point72,http://www.point72.com/,"Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.","A Career with Point72's Technology TeamAs Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.What you’ll doDevelop and maintain scalable AI/ML architectures and systems. Collaborate with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products.Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems. Stay abreast of the latest advancements in AI/ML technologies and methodologies. Ensure compliance with industry standards and best practices in AI/MLWhat’s RequiredBachelor's or Master's degree in Computer Science, Engineering, or a related field. 3-7 years of experience in AI/ML engineering, with a proven track record of successful project delivery. Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit- learn).Proficiency in programming languages such as Python, Java, or C++. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.Commitment to highest ethical standards.We take care of our peopleWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:Fully-paid health care benefitsGenerous parental and family leave policiesMental and physical wellness programsVolunteer opportunitiesNon-profit matching gift programSupport for employee-led affinity groups representing women, minorities and the LGBTQ+ communityTuition assistanceA 401(k) savings program with an employer match and moreAbout Point72Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.The annual base salary range for this role is $175,000-$275,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.",Entry level,"Machine Learning Engineer, GenAI Technology"
+342,2024-08-19,Cambridge,MA,Arena BioWorks,http://www.arenabio.works,"Arena BioWorks is a biomedical research institute focused on uncovering the mechanisms of human disease to identify opportunities for therapeutic intervention. The Institute's private funding model allows Arena to advance novel therapeutics by forming and supporting biotech companies up to early clinical / Series B stage. To learn more, visit arenabioworks.com. ","Arena BioWorks, located in Cambridge, MA, is a new biomedical research institute focused on uncovering the mechanisms of human disease to identify opportunities for therapeutic intervention. The Institute's private funding model allows Arena to advance novel therapeutics by forming and supporting biotech companies up to the early clinical/series B stage.As a machine learning engineer you will work with a team developing generative ML models for synthetic protein design. You will develop infrastructure and code for implementation of large language models applied to biomolecule design. The research team is investigating the tuning of DNA and protein language models for development of therapeutically relevant DNA sequences and enzymes. The machine learning engineer will, in addition to model implementation, will be involved in developing training data curation pipelines, and working closely with lab scientists generating high-throughput experimental data for model evaluation and fine tuning.The candidate is expected to thrive in a multidisciplinary and highly collaborative environment. The desired candidate is passionate about developing and implementing machine learning models for development of therapeutic molecules. They also strongly value collaborating with scientists across teams and scientific areas and enjoy continuously learning from the expertise of their peers and colleagues.Specific Responsibilities:Work with the computational infrastructure team to optimize model training and inference environmentsAdapt and implement protein and DNA language models for synthetic protein designConsult with experimental scientists to evaluate data quality and optimize lab proceduresCurate, preprocess and manage training datasets from public and internal sourcesDocument code and communicate findings to cross-functional scientific teams and to the broader scientific community through written reports, publications, and/or internal and external research presentations Qualifications:Degree in computer science, bioinformatics, mathematics or related2+ years of experience implementing machine learning models in an academic or industry setting.Proficiency in deep learning model development in Python and relevant ML libraries: (e.g. TensorFlow, PyTorch).Ability to work independently and as a team memberStrong interpersonal and communication skills Excellent analytical and critical thinking skills, both scientifically and in the ability to prioritize tasks, set deadlines, and adapt to shifting priorities Preferred Skills:Experience working with molecular biology data (e.g. DNA sequence, functional genomics)",Entry level,Machine Learning Engineer
+343,2025-04-03,Los Angeles,CA,Northwood,https://www.northwoodspace.io,"Northwood was founded in 2022 by Bridgit Mendler, Griffin Cleverly, and Shaurya Luthra with the mission to expand access to space by transforming satellite backhaul infrastructure. We are building an advanced, scalable ground network powered by phased array technology to deliver enhanced connectivity and resilience for space operations. Our innovative approach is designed to rapidly scale and improve the efficiency of satellite communication networks. The first Northwood sites are set to deploy in 2025. Check out our open roles: https://www.northwoodspace.io/careers","OverviewApplicationAbout NorthwoodNorthwood is on a mission to transform connectivity between Earth and space, bringing the benefits of space to the masses through innovations in space communications technologies. If you're passionate about building quickly and seeing your work deployed globally with real impact, we want you at Northwood.Job LevelThe level of this position will be determined based on the qualifications and experience of the successful candidate. We are open to considering candidates of varying experience levels, from mid-career to principal engineers.RoleAs a Software Engineer at Northwood, you will be pivotal in designing, implementing, and optimizing the global service that delivers connectivity to our customers. You will have ownership over key areas - ranging from control of our antenna systems to the customer APIs that enable booking time on our network. An ideal candidate is someone who likes to work across areas of responsibility and can dive deep into high priority challenges.Northwood Is a Full-stack Company, With Software Development Spanning Everything From Manufacturing To Global Data Transfer. We Seek Versatile Candidates Who Want To Contribute Across Multiple Areas While Having a Solid Foundation In One Or Two Core Areas Of Focus. Key Areas Of Focus Include—but Are Not Limited To—the Following (new Team Members Will Have The Opportunity To Work Across These Areas, They Aren’t Expected To Own Everything Listed)Edge systems (ground station)Design and implement control systems for our ground station hardware, you will write software that interacts with everything from embedded systems to RF modemsHigh bandwidth data movementArchitect and optimize data pipelines for efficient movement of data between ground stations and various end environmentsEnsure low-latency and high-throughput data distribution across different platforms, with an end goal of building Northwood’s Software Defined Wide-Area-Network (SD-WAN) capabilitiesCloud orchestration & distributed systems designLead the design and architecture of distributed systems which orchestrates our global ground network across both cloud and on-premises environmentsStack design & inter-service communication: Develop the entire stack design, focusing on inter-service communication protocols to ensure seamless integration and operationAPI, database & front end developmentDesign and build robust APIs for customer and internal interactionsDevelop intuitive front-end interfaces using modern web technologiesBuild a scalable data backend - integrating into ETL pipelines to help make data more actionableMonitoring & alerting systemsCreate comprehensive monitoring and alerting solutions for software and infrastructureImplement tools to ensure continuous uptime and rapid issue resolutionGlobal telemetry capabilities Transform our telemetry data into actionable insights, enabling predictive diagnostics to address issues before they arise; keep our customers informed about relevant operations in real timeInfrastructure, security & pipelinesA global network requires global deployments, and Northwood is committed to building a secure, reliable, and stable pipeline. This infrastructure empowers our developers to deploy changes continuously—without the risk of disrupting the system or relying on 'testing in prod.'Production line software & testingDevelop software for production line bring-up and testingAutomate testing procedures to ensure hardware and software reliabilityWorking alongside mechanical/RF/EE/FPGA and SW engineers to ensure system correctness, performance, and reliability before leaving our manufacturing lineSimulation & orchestration softwareCreate simulations that model satellite and network designCreate simulation tools for testing and validating system performance Design and implement software that orchestrates our global antenna network and data plane Basic Qualifications1+ years of professional software development experience (this doesn’t have to be from a full-time role—there are many ways to gain valuable experience, and we’d love to hear about yours - tell us about internships, projects out of the classroom, or any personal projects)Completed bachelor’s degree in Computer Science, Computer Engineering, Math or other related major (soft-requirement, tell us why you didn't pursue a degree, and what you've done in it's place)Preferred QualificationsWhile we don’t expect you to have every skill listed below, we do expect you to take ownership of one or more areas and drive decisions and implementations where your strengths lie.Programming Languages (General):Proficiency in one or more of the following:Rust, Golang, Haskell, C/C++Open to other languages that are suitable for distributed systems and/or high-performance computing and interested in strong opinions on the right language for various applicationsStrong problem-solving abilitiesExcellent communication and collaboration skillsAbility to work in a fast-paced, dynamic environmentDomain Specific SkillsDistributed Systems & Cloud Computing:Experience designing and implementing distributed systemsKnowledge of cloud services (AWS, Azure, Google Cloud) and orchestration toolsFamiliarity with microservices architecture and serverless computingHardware Interaction & FPGA:Experience with hardware control systemsFamiliarity with FPGA programming and orchestrationUnderstanding of embedded systems development (FreeRTOS, Zephyr)Data Movement & Networking:Proficiency in architecting data pipelines for high-throughput environmentsUnderstanding of network programming and IP protocolsExperience with high-speed communications (10GigE+)API & Front-End Development:Experience in building RESTful APIsProficiency with front-end technologies:JavaScript/TypeScriptFrameworks: Angular, React, or similar.Knowledge of UI/UX best practicesMonitoring & Alerting Tools:Experience with monitoring solutions (Prometheus, Grafana, ELK Stack)Familiarity with alerting systems and incident responseInfrastructure & Security:Proficiency with Infrastructure as Code tools (Terraform, Ansible)Understanding of security best practices and compliance requirementsExperience managing CI/CD pipelines (Jenkins, GitLab CI/CD)Databases & Data Processing:Experience with time-series databases (InfluxDB, TimescaleDB)Proficiency with relational databases (PostgreSQL, MySQL)Knowledge of data processing frameworksSimulationExperience designing/implementing simulations for physical models (think satellite orbits) or network movementOrchestration:Experience designing/implementing orchestration engines for distributed nodes (think robotics, long running jobs, data pipelines, etc…)Testing & Automation:Experience with automated testing frameworksFamiliarity with production line testing softwareCompensation And BenefitsCompensation is determined by role, level, location, and alignment with market data. Individual base pay is determined case-by-case and may vary based on job-related skills, education, experience, and technical capabilities. In addition to a competitive base salary, Northwood offers long-term incentives such as company stock, stock options, cash awards, and discretionary performance bonuses. Benefits include equity, healthcare, unlimited vacation, retirement savings, and professional development opportunities.Additional InformationTo conform to the U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be:A U.S. citizen or lawful permanent resident of the U.S.A protected individual as defined by 8 U.S.C. 1324b(a)(3).Eligible to obtain the required authorizations from the U.S. Department of State.Equal Opportunity EmployerNorthwood is an Equal Opportunity Employer. Employment with Northwood is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.How To ApplyIf you're excited about this role and Northwood's mission, we'd love to hear from you. Please submit your detailing your relevant experience and why you're a great fit for this position.______Join us at Northwood and be a part of transforming space communications technologies, bringing the benefits of space to everyone.",Entry level,Software Engineer – General (new grad / early career)
+344,2025-03-25,Southfield,MI,Stefanini North America and APAC,http://www.stefanini.com/en/,"Stefanini Group is a multinational company with a broad portfolio of technological solutions. Our global presence spans 41 countries and 44 languages. Motivated by a shared entrepreneurial spirit, we help our clients transform their business through digital innovation, working in an agile manner and co-creating for a better future.
+We believe technology can revolutionize a company and that innovation is essential to foster development and competitiveness. We also value new ideas and the power of an open mind, so we recognize every talent is essential to the quality of our projects and especially to our progress. We are big enough to invest in new technology while small enough to be both flexible and adapt to our clients’ needs. Driven by our entrepreneurial mindset, we help customers transform their business through digital innovations by working in an agile mode and co-creating for a better future.
+
+
+We offer a broad portfolio of solutions, combining innovative consulting, marketing, mobility, personalized campaigns and artificial intelligence services with traditional solutions such as service desk, field service, and outsourcing (BPO). We maintain our excellence by investing in technological innovations, the best partnerships, acquisitions of companies worldwide, and the hiring of highly trained professionals.
+
+","Details:Job DescriptionStefanini Group is hiring!Stefanini is looking for a Machine Learning Engineer (Google Cloud Platform), Dearborn, MI (Hybrid) For quick apply, please reach out anmol.tyagi@stefanini.com /+1 248-263-8628 We are looking for a Software Engineer to help build and drive the development of generative AI applications that will transform the future of mobility. In this role, you will work in a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers. You will be responsible for developing cutting-edge generative AI applications and systems that can be deployed across various domains, enabling smarter decision-making, enhancing customer experiences, and optimizing operations.Responsibilities Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems.Maintain and mange current CI/CD ecosystem and toolsFind ways to automate and continually improve current CI/CD processes and release processesExamine, inspect codes / scripts and resolve issuesHelp innovate standardize machine learning development practices.Experiment, innovate and share knowledge with the team.Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.Leverage latest ML / Gen AI / GCP / Kubernetes technologiesJob RequirementsDetails:Experience Required3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.2+ years of experience with Cloud Engineering / ServicesExperience with ML workflow orchestration tools: Airflow, Kubeflow etc.Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++Experience/understanding in MLOPs and Gen AIExperience in DevOps: Jenkins/Tekton etc.Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc.Experience in container management solution: Kubernetes, DockerExperience in scripting language: Bash, PowerShell etc.Experience with Infrastructure as code: Terraform etcExperience PreferredMaster focused in Computer Science / Machine Learning or related fieldExperience working with Google Cloud platform(GCP) - specifically Google Kubernetes engine, Terraform, and infrastructureExperience in programming concepts such as Paired Programming, Test Driven Development, etc.Knowledge of coding and software craftsmanship practices.Must be a quick learner and open to learning new technology.Experience applying agile practices to solution delivery.Must be team-oriented and have excellent oral and written communication skills.Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.Experience and good understanding of GCP, DevOPs, AI/ML and GEN AIEducation Required:A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline.Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.About Stefanini GroupThe Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMMI Level 5 company.",Mid-Senior level,Machine Learning Engineer (Google Cloud Platform)
+345,2025-03-21,Meudon,Île-de-France,Thales,http://www.thalesgroup.com/,"Thales (Euronext Paris: HO) is a global leader in advanced technologies specialized in three business domains: Defence & Security, Aeronautics & Space, and Cybersecurity & Digital identity. It develops products and solutions that help make the world safer, greener and more inclusive.
+
+The Group invests close to €4 billion a year in Research & Development, particularly in key innovation areas such as AI, cybersecurity, quantum technologies, cloud technologies and 6G.
+
+Thales has close to 81,000 employees in 68 countries. In 2023, the Group generated sales of €18.4 billion.","Location: San Jose, United States of AmericaThales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.This is a hybrid full-time position in San Jose, California.Position SummaryA Software Engineer holding this position contributes to and influences the design of new features, continuously keeps abreast of features being rolled out in major new releases on Linux and Windows and works in the area of machine learning and data science, NLP, anomaly detection, LLMs for cloud security. This position will contribute to the new product development and enhancements to existing products that are called for while addressing customer requirements, keeping up with technology advances, achieving established product quality goals, and meeting time-to-market requirementsKey Areas of ResponsibilityDesign and train machine-learning models for data discovery and related applications.Design and implement prediction interface for pre-trained models across platforms.Design and implement trainable models and training workflows.Build and maintain scalable ML pipelines including MLops.Enhancing data collection procedures to include information that is relevant for building ML systemsProcessing, cleansing, and verifying the integrity of data used for ML model training and predictionWork with the system test team to define test plans, troubleshoot and resolve software defects.Investigations of relevant standards (e.g. data classification, data governance, UEBA) and technologies (such as NER, LLM, knowledge graphs) and design products that integrate seamlessly into the emerging ecosystems and conform to standardsBasic QualificationsBS Statistics, Mathematics, Computer Science, or equivalent2+ years of industry experience with data scienceHands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural networks, support vector machines, anomaly detection, and natural language processing.Expertise in modern advanced analytical tools and programming languages such as Python, Scala, and/or Java.Experienced in SQL, Hive, SparkSQL. Java and Scala programming experience a plus.Experience with building end-to-end reusable pipelines from data acquisition to model output delivery.Knowledge and passion for solid software engineering practices, release processes and project life cycles.Excellent communications skills, both verbal and written. Must be able to write clear functional specifications and design documents and engage with stake holders in technical discussions.Self-directed; requires minimal supervision on work productsStrong team player. Willingness to proactively interact with the team and achieve results in a dynamic small company environmentAdditional preferred experience/training including:MS in Statistics, Mathematics, Computer Science, or equivalent fields.Innovative thinker in all areas of system design and debugging.Proven ability to initiate original and creative technical efforts.Ability to multitask, and work effectively in fast paced environment.Familiarity with security software is a plusCloud platforms for GenAI such as GCP, AWS etcPhysical Demands Typical office environment. No special physical requirementsSpecial Position RequirementsCore Business Hours Monday-FridayWhat We OfferThe anticipated TTC range for this role is 113,574.83 - 189,291.38 USD Annual. The Company reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s status protected by local, state, or federal law.Thales provides an extensive benefits program for all full-time employees working 30 or more hours per week and their eligible dependents, including the following: Elective Health, Dental, Vision, FSA/HSA, Voluntary Life and AD&D, Whole Group Life w/LTC, Critical Illness, Hospital Indemnity, Accident Insurance, Legal Plan, Identity Theft, and Pet Insurance. Retirement Savings Plan after 30 days of employment with a company contribution and a match, and with no vesting period. Company paid holidays and Paid Time Off. Company provided Life Insurance.Why Join Us?Say HI and learn more about working at Thales click hereThis position will require successfully completing a post-offer background check. Qualified candidates with [a] criminal history will be considered and are not automatically disqualified, consistent with federal law, state law, and local ordinances.Thales champions inclusion and we believe diversity strengthens the fabric of our culture. Thales is an Equal Opportunity Employer, including disability/veterans.If you need an accommodation or assistance in order to apply for a position with Thales, please contact us at talentacquisition@us.thalesgroup.com.The reference Total Target Compensation(TTC) market range for this position, inclusive of annual base salary and the variable compensation target, is betweenThis reflects how companies in a similar industry and geographic region generally pay for similar jobs. This range helps the Company make pay decisions as one data point among many. Where a position falls within this range is also dependent on other factors including – but not limited to – the employee’s career path history, competencies, skills and performance, as well as the company’s annual salary budget, the customer’s program requirements, and the company’s internal equity. Thales may offer additional benefits and other compensation, depending on circumstances not related to an applicant’s status protected by local, state, or federal law.(For Internal candidate, if you need more information, please reach out to your HR Shared Service, 1st Point)Thales provides an extensive benefits program for all full-time employees working 30 or more hours per week and their eligible dependents, including the following:Elective Health, Dental, Vision, FSA/HSA, Voluntary Life and AD&D, Whole Group Life w/LTC, Critical Illness, Hospital Indemnity, Accident Insurance, Legal Plan, Identity Theft, and Pet InsuranceRetirement Savings Plan after 30 days of employment with a company contribution and a match, and with no vesting periodCompany paid holidays and Paid Time OffCompany provided Life Insurance, AD&D, Disability, Employee Assistance Plan, and Well-being Program",Not Applicable,Software Engineer (Machine Learning)
+346,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+347,2025-03-24,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.TikTok Content Ecology Algorithm Team leverages multimodal, LLM/MLLM, NLP & CV, and recommendation technologies to provide platform-level algorithmic capabilities for various business lines, including local services, search, main architecture, PGC (Professionally Generated Content), and UG (User Growth).Our work spans short video content understanding, global trending event detection, intelligent customer service, and inspiration recommendation.There are over a hundred languages here, presenting multilingual challenges for NLP/LLM technologies.With a vast amount of short video content, MLLM and multimodal technologies have more application scenarios. The platform has a large user base, with hundreds of millions of creators, providing rich application scenarios for inspiration recommendation technologies.All business lines are in a period of rapid growth, with overall DAU and revenue increasing rapidly, offering vast development opportunities.Welcome to join us！About The TeamThe Content Ecology Algorithm Team drives TikTok’s AI innovations in LLMs, NLP, Computer Vision (CV), multimodal learning, and recommendation algorithms. We develop cutting-edge AI capabilities that power multiple business lines, including Local Services, Search, Core Video Architecture, Professional Content (PGC), and User Growth (UG).Our Work Includes: Short Video Content Understanding – Building multimodal AI models to analyze video, text, and speech. Global Trending Event Detection – Developing real-time AI systems to detect viral trends worldwide. Intelligent Customer Service – Implementing chatbot and automation solutions using LLMs. AI-Driven Content Discovery – Enhancing personalized content recommendations through advanced algorithms.With millions of daily users, our work directly impacts TikTok’s growth and user engagement.Responsibilities Develop and optimize LLM, NLP, CV, and recommendation models to improve TikTok’s content ecosystem. Implement multimodal AI solutions, integrating video, text, and speech understanding. Optimize LLM-powered search, discovery, and content recommendation systems for better user engagement. Train and fine-tune deep learning models using TensorFlow, PyTorch, or other ML frameworks. Deploy and scale machine learning solutions in a distributed computing environment. Work closely with AI researchers, software engineers, and business teams to apply AI technologies effectively.QualificationsMinimum Qualifications: Strong programming skills in Python, C++, or similar languages. Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Solid understanding of machine learning, NLP, CV, or recommendation algorithms.Preferred Qualifications: Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field, OR a Bachelor’s degree with exceptional research or industry experience. 2+ years of research or industry experience in LLMs (GPT-style models), multimodal learning, or large-scale ML systems. Experience with distributed computing and optimizing AI models for real-world applications. Ability to apply machine learning techniques to enhance business and user experiences. Publications in top AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.) or strong contributions to open-source AI projects.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - TikTok Content Ecology
+348,2025-04-08,Boston,Massachusetts,Publicis Sapient,http://publicissapient.com/,"Publicis Sapient is a digital business transformation company. We partner with global organizations to help them create and sustain competitive advantage in a world that is increasingly digital. We operate through our expert SPEED capabilities: Strategy and Consulting, Product, Experience, Engineering and Data, which combined with our culture of curiosity and deep industry knowledge, enables us to deliver meaningful impact to our clients’ businesses through reimagining the products and experiences their customers truly value. Our agile, data-driven approach equips our clients’ businesses for change, making digital the core of how they think and what they do. Publicis Sapient is the digital business transformation hub of Publicis Groupe with 20,000 people and over 50 offices worldwide. For more information, visit publicissapient.com.","Job DescriptionYour Impact:Publicis Sapient is seeking an AI Machine Learning Engineer to strengthen our Data Science division. As a key member of the team, you ll lead the development of data-driven solutions powered by cutting-edge learning algorithms, with a special focus on integrating advanced AI methodologies into our workflow. Your role involves implementing conceptual models for problem-solving within the machine learning domain and translating organizational objectives into actionable data-driven strategies. Thriving amidst diverse datasets globally, you ll have the chance to work with state-of-the-art technology and witness firsthand how your insights translate into tangible business results.This position plays a crucial role in advancing the application of machine learning as a foundational tool for addressing real-world business challenges. Leveraging your expertise in advanced AI techniques alongside traditional methodologies, you ll contribute to solving complex business problems across various areas, including Demand Forecasting, Customer Profiling, Operational Optimization, Recommendation Systems, Propensity Modeling, Conversational AI and Risk Analysis.Join us in driving innovation and delivering true business value to our customers through the strategic application of cutting-edge AI and data-driven solutions.QualificationsYour Experience:Experience across public clouds (AWS, GCP, Azure, Snowflake)Fine tuning experience of large models (LLMs, VLLMs, or Vision model)Distributed training or inference experience (distributed, ray, vllm, openllm, bentoML etc).Deployment experience or hosting experience of large models (LLMs, VLLMs, or Vision model)Optimized hosting of model s (vllms, tgi etc)Vector database experience (weaviate, milvus, HNSE, FAISS)Agentic Framework (Metagpt, Agent)Experience with prompt engineeringPassionate and informed on Data Science, AI and knowledgeable on advancements and market trendsExperience with open-source modelsBS/MS in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative or computational field. Advanced degrees preferredStrong written and verbal communication skillsCollaborative and open to new ways of learningSelf-starter who thrives in an autonomous environmentAbility to prioritize and manage multiple tasksProcess oriented with the ability to define and set up processesAdditional InformationThe pay range: $123,000-153,000. The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.Working Here: Flexible vacation policy: time is not limited, allocated, or accrued 16 paid holidays throughout the year Generous parental leave and new parent transition program Tuition reimbursement Corporate gift matching program As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicissapient.com or you may call us at +1-617-621-0200.Company DescriptionPublicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.",Entry level,AI Machine Learning Engineer
+349,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Level 5"
+350,2024-06-21,San Jose,California,WeRide,http://www.weride.ai,"Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days. On October 25, 2024, WeRide was officially listed on the Nasdaq Global Select Market under the ticker symbol ""WRD"", and became the world's first publicly listed universal autonomous driving company and the first publicly listed Robotaxi company.
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+WeRide aims to develop safe and reliable driverless solutions to make mobility and transportation safer, more affordable, and accessible. As the pioneer in autonomous driving technologies and applications, WeRide has developed a comprehensive portfolio, including Robotaxi, Robobus, Robovan, Robosweeper, and advanced driver-assistance system (ADAS), with application scenarios spanning smart mobility, smart logistics, and smart sanitation.
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+With a rich experience in autonomous driving R&D, commercialization, and operation, WeRide has formed partnerships with renowned global OEMs and Tier1 including Renault-Nissan-Mitsubishi Alliance, Yutong Group, GAC Group, BOSCH, etc.
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+WeRide earned a prestigious position among the top ten on Fortune Magazine’s “2023 Change the World” list and was named to Fortune Magazine’s 2024 “The Future 50” list.","Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days.At WeRide, we are dedicated to developing efficient autonomous driving algorithms and evaluation systems to enhance and optimize our autonomous driving technology. As end-to-end models become increasingly mature, we aim to integrate more model techniques and end-to-end capabilities into the autonomous driving domain. This includes tasks such as path planning, scene generation, and scene reconstruction based on large-scale autonomous driving data.We are seeking experienced algorithm engineers to join our team. This role will focus on the development and optimization of Multi-Agent Planning, 3D Reconstruction, and World Model tasks. The ideal candidate should have extensive experience in algorithm development within the autonomous driving or related fields, along with strong skills in model design, programming, and innovation.What you will do:Multi-Agent Planning: Design and optimize path planning algorithms for road participants to ensure the creation of realistic and logical movement trajectories. This includes modeling interactions between multiple agents to form rich and diverse complex environments3D Reconstruction: Develop and improve 3D reconstruction algorithms to create high-precision 3D environmental models from various sensor data sourcesWorld Model: Create and maintain the vehicle's world model by integrating sensor data to enhance the end-to-end simulation capabilities of autonomous drivingCollaboration: Work closely with cross-functional teams including perception, control, and software engineering to drive project progressPerformance Analysis and Optimization: Conduct performance analysis and optimization of algorithms to ensure high efficiency and reliability in real-world applicationsResearch and Innovation: Keep abreast of the latest research and technological developments in the field, continuously improving and innovating our systemsRequirements:Master’s or PhD in Computer Science, Electrical Engineering, Robotics, or a related fieldAt least 5 years of relevant experience, particularly in autonomous driving, robotics, or related model development fieldsProficiency in programming languages such as C++ and Python, with strong capabilities in algorithm design and implementationIn-depth understanding and practical experience in path planning, 3D reconstruction, and environmental modelingFamiliarity with deep learning, reinforcement learning, and other machine learning techniques, and the ability to apply them to real-world problemsStrong foundation in mathematics and statistics, capable of performing complex algorithm analysis and optimizationTeam-oriented with excellent communication skills, able to work effectively with colleagues from diverse backgroundsInnovative mindset, capable of proactively proposing new solutions and improvementsPlus:Publications in top-tier academic conferences or journals in related fieldsExperience with frameworks such as ROS, TensorFlow, or PyTorchPractical project experience or participation in autonomous driving competitionsSalary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $150,000 - $220,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.WeRide.ai offers competitive salary depending on the experience. Employee benefits include:Premium Medical, Dental and Vision Plan (No cost from employees or their families)Free Daily Breakfast, Lunch and DinnerPaid vacations and holidays401K plan",Not Applicable,Machine Learning Engineer
+351,2025-03-20,New York,New York,PermitFlow,www.permitflow.com,PermitFlow is the nation's leading permit application and management platform. We help builders across the country to simplify and speed up the process of obtaining construction permits.,"🚀 About PermitFlowPermitFlow’s mission is to streamline and simplify construction permitting in the $1.6 trillion United States construction market. Our software reduces time to permit, supporting permitting end-to-end including permit research, application preparation, submission, and monitoring.We’ve raised a $31m Series A led by Kleiner Perkins with participation from Initialized Capital, Y Combinator, Felicis Ventures, Altos Ventures, and the founders and executives from Zillow, PlanGrid, Thumbtack, Bluebeam, Uber, Procore, and more.Our team consists of architects, structural engineers, permitting experts, and workflow software specialists, all who have personally experienced the pain of permitting.📌About The TeamWe have a lean but mighty engineering team. We’ve done a lot with a little, but there’s much more work to be done to continue our fast-paced growth and we want you to be a part of that growth. You’ll help us get there by owning end-to-end projects, talking with customers, and ultimately supporting the growth of PermitFlow.Ideally, you’re based in NYC or willing to relocate for hybrid work. We’re currently hybrid in-person 3 days/week in our NYC office.✅ What You’ll Do: You'll work alongside the CTO and engineering team to develop the first construction permit application and management platform for builders. Our current team consists of engineers from Uber, Amazon, NerdWallet, OnDeck, Harvard, Stanford, and more. We are background and experience agnostic, and we encourage anyone to apply if they are passionate about joining a small team and working to solve a real-world pain point.We are seeking a Machine Learning Engineer to help build intelligent systems that enhance our permit processing, document understanding, and compliance workflows. You will work on LLM-based models, retrieval-augmented generation (RAG) pipelines, and AI-driven automation, leveraging state-of-the-art techniques to extract, analyze, and structure complex permitting data.Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit application workflows. Develop and fine-tune retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval. Experiment with pre-trained models and fine-tune them for permit-related NLP tasks, such as document classification and entity recognition. Build scalable machine learning infrastructure, integrating with backend systems to support AI-driven workflows. Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance. Monitor and improve the performance and scalability of deployed models. Stay updated with the latest research in LLMs, NLP, retrieval systems, and apply best practices to our AI models. Collaborate with engineers, product managers, and legal experts to develop AI-native solutions for complex permitting challenges. 🙌 Qualifications & Fit:3+ years of experience in machine learning engineering, ideally in production environments. Strong understanding of LLMs (e.g., OpenAI GPT, Hugging Face models) and their applications. Hands-on experience with retrieval systems (e.g., Elasticsearch, FAISS, or vector databases). Proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with ML model deployment, monitoring, and scaling in a cloud environment (AWS, GCP, or Azure). Strong problem-solving skills and ability to work in a fast-paced, high-ownership environment. 💙 Benefits📈 Equity packages💰 Competitive Salary🩺 100% Paid health, dental & vision coverage💻 Home office & equipment stipend🍽️ Lunch & Dinner provided via UberEats w/ a fully stocked kitchen🚍 Commuter benefits🎤 Team building events🌴 Unlimited PTOCompensation Range: $190K - $240K",Mid-Senior level,"Machine Learning, Software Engineer"
+352,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+353,2025-04-05,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!Adobe Firefly’sGenerative AI Servicesteam is seekingSeniorMachine Learning Engineersfor our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers.Job ResponsibilitiesDesign and evelopmentof core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products. Design and buildML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaboratewith Adobe Research and other model developer teams with a focus on model inference strategies and productization of those modelBuild and optimizeGPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability. Foster a culture of innovation, technical excellence, and continuous improvement across the organization. What You’ll Need To SucceedMS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 5+ years of experience in machine learning, including production-scale deployments. 2+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization). Experience with GenAI frameworks and tools such asPyTorch, CUDA, Triton, TensorRT,Nvidia Dynamo, and Python. Good understanding of generative model architectures, includingdiffusion models, transformers, and GANs. Good communication and leadership skills, with a track record of driving alignment in matrixed organizations. Preferred QualificationsExperience withmodel serving, inference, orchestration, and GPU resource managementin large-scale environments. Hands-on expertise inKubernetes, distributed systems, and MLOps platforms. Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Entry level,"Machine Learning Engineer, Adobe Firefly Services"
+354,2025-03-27,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for candidates who brave difficulties, share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.What You'll Do Participate in the development of a large-scale Ads system Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc Participate in the development and iteration of Ads algorithms by using Machine Learning. Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering Research and develop Ads pacing algorithms, ads traffic control, etc Partner with product managers and product strategy & operation team to define product strategy and featuresQualifications BS degree in Computer Science, Computer Engineering or other relevant majors. Excellent programming, debugging, and optimization skills in general purpose programming languages Ability to think critically and to formulate solutions to problems in a clear and concise way.Preferred Qualifications Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python. Good understanding in one of the following domains: ad fraud detection, risk control, quality control, adversarial engineering, and online advertising systems. Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at TiktokOps.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - Search Ads
+355,2025-03-30,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We're looking for an experienced ML Engineer to help us develop and improve the models that power DoorDash's three- sided marketplace of consumers, merchants, and dashers. Team is responsible for building a leading industry level NLP/LLM system to empower all communication for Doordash Journey, also building recommendation/personalization to provide best experience.About The RoleAs a Machine Learning Engineer you will have the opportunity to identify and prioritize machine learning investments across our conversation AI & personalization ecosystem. You will leverage our robust data and infrastructure to develop natural language processing and personalization models that impact millions of users across our three audiences. You will partner with an engineering lead and product manager to set the strategy that moves the business metrics which help us grow our business.You’re Excited About This Opportunity Because You Will…Lead the development of DoorDash's support chatbot & LLM system: Applying LLM, active learning, semi- supervised learning, weak label generation, documentation embedding/retrieval and data augmentation strategies to improve the consumer, dasher, and merchant support experienceDrive the personalization of DoorDash's issue prediction & resolution policies: Using both personalization, recommendation and dynamic pricing modeling technologies to serve millions of customers on personalized prediction resolution for any issues they might encounter during their journeySpearhead the creation of next-generation LLM AI Agent tools: Building Co-pilot system to evolve how millions of users interact with our support systemApply stratification, variance reduction, and other advanced experiment design techniques to create A/B tests to efficiently measure the impact of your innovations while minimizing risk to the broader systemYou can find out more on our ML blog hereWe’re Excited About You Because You Have…3+ years of industry experience developing optimization models with business impact, including 1+ year(s) of industry experience serving in a tech lead role M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldYou must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New YorkDeep understanding of natural language processing techniques and procedures for efficiently acquiring and validating human-labeled dataGood experience in overall big data analysis, system, backed integration with new ML system/solution. Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inferenceFamiliarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLibExperience productionizing and A/B testing different machine learning modelsFamiliarity with advanced causal inferences techniques and contextual bandit algorithms preferredNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - Conversation AI
+356,2025-03-28,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOur team is responsible for developing next-generation chatbot and machine translation solutions to improve the TikTok Shopping experience across the world. We are currently looking for talented engineers that have a deep understanding of natural language processing and machine learning, especially ones with solid skills and experience of large language models, machine translation, and conversational AI.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities You will be responsible for developing and optimizing the intelligent customer service of TikTok shopping. This role will work closely with our product and operation teams to understand the intentions of our users, design solutions of experience excellence, and convey these solutions to our users conversationally, with the support of cutting-edge LLMs technology. You will have the chance to develop NLP models (like text classification, machine reading, summarization) and prediction models (like question prediction and chatbot action prediction) to achieve the above goals. You will be responsible for developing and optimizing the machine translation service of TikTok shopping to better support cross-region product listing, buyer-seller communication, and commenting. You will have the chance to develop machine translation models for the conversational environment and text generation models from multi-modality inputs. You will be responsible for developing and optimizing the multi-modal AIGC model for product copywriting, including product title, selling points, description and live broadcast script creation etc. You will have the chance to apply cutting edge AIGC models to save human effort and improve business performance.About The JobResponsible for the NLP-related research and development, mainly including: Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model. Building the prediction model by mapping the shopping journey of our users to chatbot actions, including suggesting common question-answers and transferring the user to human agent, with cutting-edge prediction models (like Boosting, deep CTR). Building the generation model by understanding business requests, exploring proper instructions, developing high-quality data, and finetuning a language model of billions of parameters (e.g., 13B, 60B). Working closely with our product and operation teams to quantitatively understand the impact of our chatbot and continuously bridge the business improvement action to model optimization action.QualificationsMinimum Qualifications: Bachelor and above with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines. Large language models, natural language generation, machine translation, question answering, machine reading, information extraction, text mining and classification etc. Work experience in e-commerce or the Internet industry is preferred. Practical experience in NLP (dialogue system, machine translation, nlp-related projects in IR/Ads system, etc.) are preferred. Familiar with at least one computer programming language, including but not limited to go/python/Java. Experience of big data development, including but not limited to hive, spark Candidates who have published high-quality papers are preferred, including but not limited to ACL, EMNLP, COLING, AAAI, IEEE TASLP, etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $104500 - $139650 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI) - 2025 Start (BS/MS)
+357,2025-03-24,San Francisco,,Unity,https://unity.com/,"Unity (NYSE: U) is the world’s leading platform for creating and operating real-time 3D (RT3D) content. Creators, ranging from game developers to artists, architects, automotive designers, filmmakers, and others, use Unity to make their imaginations come to life. Unity is the foundation upon which the world’s most powerful digital content is created. Specifically, Unity’s platform provides a comprehensive set of software solutions to create, run and monetize interactive, real-time 2D and 3D content for mobile phones, tablets, PCs, consoles, and augmented and virtual reality devices. 
+In the fourth quarter of 2021, Unity had, on average, 3.9 billion monthly active end users who consumed content created or operated with its solutions. The applications developed by these creators were downloaded, on average, five billion times per month in 2021. For more information, please visit www.unity.com. 
+
+Download Unity: http://unity3d.com/get-unity
+We're hiring! Visit our careers site: https://careers.unity.com
+For support, please email: support@unity3d.com
+
+Check us out on our other social channels: 
+Twitter: https://twitter.com/unity
+Facebook: https://www.facebook.com/unity3d/
+Instagram: https://www.instagram.com/unitytechnologies/","The opportunityWe’re seeking a Senior Machine Learning/MLOps Engineer to join our Data Services and Moderation team within Unity Ads! In this role, you’ll focus on transforming ML workflows and ETL pipelines into scalable, production-ready systems that support ad moderation efforts. You’ll collaborate with teams of data scientists, software engineers, and product managers to design, develop, and deploy various deep learning and LLM/RAG solutions, and ensure their integration into our Unity Ads infrastructure. If you're looking for an exciting and challenging role, that helps app developers drive meaningful monetization, we’d love to hear from you!What you'll be doingDesign, develop, and maintain cloud machine learning pipelines in production for real-time processing and batch processing.Influence and craft the direction of a highly scalable machine learning pipeline.Collaborate with data scientists to explore, design, and build pre/post-processing ETL pipelines.Translate product requirements into a technical design and implement solutions using all resources available to you.Build, monitor, and maintain CI/CD workflows for internal software/tools.What we're looking forProficient and strong knowledge in Python, Terraform, cloud platforms (GCP/AWS), Docker, K8, Kafka, Github Actions, serverless, and SQL.Familiar with Numpy, Tensorflow, Pytorch, vector DB, neural networks, computer vision, LLM, RAG and general ML concepts.Rich experience in building large-scale streaming ETL pipelines, API endpoints, and serverless apps.Proficiency in data manipulation and analysis using tools like SQL, BigQuery, Pandas, and/or Spark, along with experience in data visualization and dashboarding.Strong interpersonal and communication skills, with successful experience collaborating with distributed teams to deliver complex solutions.You might also haveExperience with distributed computing libraries such as Ray or Dask.Experience in A/B testing and statistical analysis.Experience with ML monitoring solutions (Prometheus, Grafana, etc) in a public cloud environment (GCP, AWS, Azure).Additional informationRelocation support is not available for this positionLife at UnityUnity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.",Mid-Senior level,Senior Machine Learning/MLOps Engineer
+358,2025-03-27,Brighton,MA,Harvard Business Publishing,http://www.harvardbusinesspublishing.org,"At Harvard Business Publishing, we believe in the power of leadership to inspire, to transform, and to advance the global good. We empower leaders with breakthrough ideas that solve problems, that elevate performance, and that unlock the leader in everyone. We help leaders move the world forward.
+
+Harvard Business Publishing (HBP) was founded in 1994 as a not-for-profit, independent corporation that is an affiliate of Harvard Business School. We inform and inspire professionals, corporations, educators, and students around the world with the best in management thinking and practice. Through our articles, books, case studies, simulations, videos, learning programs, and digital tools, we reach thousands of organizations and millions of subscribers and social media followers.
+
+With over 600 employees located in Boston (HQ), New York City, Australia, France, India, Mexico, the Netherlands, Singapore, the United Arab Emirates, and the United Kingdom, we serve as a bridge between academia and enterprises around the globe. 
+
+Our three market units—Education, Corporate Learning, and Harvard Business Review Group—produce a variety of media including print and digital (Harvard Business Review, Harvard Business Review Press books, Harvard Business School cases), events (participant-centered learning seminars, custom events, webinars), digital learning (Harvard ManageMentor, HMM Spark), blended learning, and campus experiences. Through these platforms, HBP is able to influence real-world change by maximizing the reach and impact of its essential offering—ideas.
+
+Working at Harvard Business Publishing brings you into a global, dynamic organization that’s constantly discovering—new markets, new technologies and media platforms, and new groundbreaking ideas. You’ll find your co-workers intellectually curious and highly engaged. We collaborate. We experiment. We are always learning. 
+","Harvard Business Publishing (HBP) – the leading destination for innovative management thinking. We reach lifelong learners to improve the practice of management in a changing world. This mission inspires each of us to unlock the leader in everyone – including you!The opportunity:The Machine Learning Engineer position is responsible for delivering an enterprise-grade recommendations engine, LLM integrations, and other ML solutions for our Learning Products. This role will collaborate with data scientists and engineers to influence the short and long-term ML usage strategy for the company. The ideal candidate will excel at helping HBP deliver innovative learning experiences while demonstrating both creativity and attention to detail.What You'll DoCollaborate with technical staff and product managers to strategize and build a next generation content recommendation engine and GenAI integration tools that offer personalized experiences. Contribute hands-on code and ensure product architecture is adaptable the changing needs of the business.Advise on how ML can affect other upstream (content development, content tagging, taxonomy) and downstream services (search, data storage, analytics). Develop high-level design specifications with particular attention to system integration and feasibility.Investigate new and developing technologies in the industry and determine how to leverage these new technologies in our software applicationsBuild efficient and reliable data pipelines using behavioral data and analyticsParticipate in the design, development, and deployment to production of GenAI applications that use modern LLMs (OpenAI, Anthropic, etc.)What You’ll Bring3-5+ years of proven experience in an ML/AI architect role with a focus on GenAI, data analysis, and machine learning algorithms and modelsPractical experience in developing ML models using Python (knowledge of Java and Spring/Hibernate a huge plus)Experience with common ML/AI libraries (e.g. scikit-learn, TensorFlow, PyTorch) and current LLMs (OpenAI, Anthropic, Llama)Hands-on working experience with RAG architectural approachExperience and understanding of application containerization and services (Docker, AWS ECS, AWS ECR)Experience applying system monitoring tools (e.g., New Relic, Splunk)You’ll stand out if you haveExperience with automated testing frameworksWhat we offer:As a mission-driven global company, Harvard Business Publishing is committed to fostering a culture of inclusion, trust, and engagement where everyone is welcome, valued, respected, and feels they belong. In addition to a competitive compensation and benefits package, we offer meaningful programs focused on career development and employee wellness, such as education reimbursement and early-release Summer Fridays!HBP is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.$120,000 - $150,000Above is the annualized pay range for this position. In addition, this position includes the opportunity to earn our annual Performance Based Variable Pay Program. Actual salary will be set based upon a range of factors, including external benchmark market data, individual knowledge, skills, experience, location and internal equity.Above is the annualized pay range for this position. In addition, this position includes the opportunity to earn our annual Performance Based Variable Pay Program. Actual salary will be set based upon a range of factors, including external benchmark market data, individual knowledge, skills, experience, location and internal equity.",Mid-Senior level,Machine Learning Engineer
+359,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems. Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions. Deploy and maintain scalable recommendation models for real-time query handling and product suggestions. Analyze complex datasets to derive insights that guide strategic decisions. Stay up-to-date with the latest machine learning developments, incorporating them into your work.QualificationsMinimum Qualifications: Master's degree in Computer Science, Engineering, Operations Research, or related fields. Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline Thorough understanding understanding of data structures and algorithms, with excellent problem-solving ability. Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineeringPreferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications Internship experience or research experience, especially in e-commerce, recommendation, search engine Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI. Curiosity toward new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilitiesTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2025 Start (MS)
+360,2025-04-02,New York City,NY,Actively AI,https://www.actively.ai,"Custom AI that replicates the depth of your best sellers to increase qualified pipeline and revenue. Founded by Stanford AI researchers and loved by scale-ups and enterprises like Ramp, Verkada, Navan, and Ironclad.
+
+Precision over volume.","About Actively AIOur thesis is that businesses of the future will be powered by agentic human-in-loop-machines that make every business function 10x more efficient.Actively AI is building that machine for sales & marketing, focused on accelerating pipeline generation. We power the day-to-day for outbound teams at dozens of companies like Ramp, Verkada, Ironclad, and Justworks.In addition to top-notch customers that love our product, our team is incredibly high caliber - the co-founders are former Stanford AI researchers and the engineering team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We're also backed by top investors, including First Round Capital (seed investors in Uber, Square, Roblox, Clearbit), Lachy Groom, and Stanford AI faculty.We have a very ambitious product and scaling roadmap, there’s strong market interest in what we are doing, and it’s time to put the foot on the gas. If you get excited by the thought of working really hard on these kinds of problems with a high caliber team, then Actively AI is the right place for you.The roleAs the first Data Scientist at Actively AI, you’ll own the definition and delivery of analytics that power our success. This includes designing and implementing internal metrics to optimize our GenAI-enabled intelligence pipelines, as well as building client-facing dashboards that provide value to hands-on users managing daily workflows, and to executive stakeholders evaluating ROI.Your work will directly influence Actively AI’s ability to scale, helping customers see the impact of our technology while improving our internal processes. It’s a unique opportunity to shape the analytical foundation of a fast-growing company and define how we use data to inform decisions and deliver results.Joining Actively AI means being part of a passionate, high-performing team working on the cutting edge of agentic AI. You’ll enjoy the autonomy to innovate, the opportunity to grow, and the satisfaction of seeing your work make a tangible difference for our customers and the company.Who You AreThe following are some attempts to define what the ideal candidate could look like for this role, but this would be our first Data Scientist hire, and we’d love to hear from you if you think you could be a great fit regardless of how many of the items below you meet!Analytical powerhouse. You have strong SQL and Python analytics skills, enabling you to wrangle, analyze, and visualize complex datasets. You’re equally adept at diagnosing performance bottlenecks and uncovering key insights.Metrics and storytelling specialist. You’re passionate about using data to tell compelling stories. Whether it’s pipeline metrics for our team or client-facing dashboards, you can craft narratives that drive understanding and action.Skilled dashboard creator. You’ve built interactive, intuitive dashboards using tools like Tableau, Looker, or Retool, or even directly using Python or R libraries. You think deeply about user experience and can tailor insights for both day-to-day operators and C-suite executives.High ownership and scrappiness. You’re autonomous and thrive in environments where you can take the reins. You love to iterate quickly and deliver pragmatic solutions that solve real problems.Business-savvy analyst. You excel at quickly developing a deep understanding of new businesses or domains, using that knowledge to inform and guide your analyses. Your insights are always grounded in the context of the organization’s goals and challenges.Fast learner with a growth mindset. You’re excited about working with cutting-edge technology and are eager to deepen your expertise in analytics, AI, and LLMs. You thrive in environments where you can continuously learn and adapt.Excited to build something from scratch. You’re energized by the opportunity to shape the analytics and data strategy of a growing company. You’re not afraid to roll up your sleeves and figure things out as you go.Ideally: You have at least 2-4 years of experience in analytics, data science, or a similar role.Ideally: You’ve worked with internal and external stakeholders to deliver impactful data products.Ideally: You have experience at a fast-growing startup or tech company.Ideally: You have built metrics or analyses of LLM outputs, or even built your own LLM-based analysis pipelines.What You’ll DoOwn metrics and analyses. Define, measure, and track internal pipeline metrics to drive efficiency and effectiveness.Create impactful dashboards. Design client-facing dashboards that provide actionable insights for both hands-on users and executive stakeholders.Collaborate cross-functionally. Work closely with engineering, product, and customer success teams to ensure analytics align with Actively AI’s business goals.Solve real-world problems. Use data to uncover trends, identify opportunities, and deliver actionable recommendations that drive results.The base salary range for this full-time position based in New York is: $120,000 - $160,000. This position is eligible for incentive stock options, subject to the terms of Actively AI's applicable plans. Actively AI offers the following benefits for this position, subject to applicable eligibility requirements: health, dental and vision insurance, retirement benefits, and unlimited PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please discuss with your recruiter for more information.Note on Pay Transparency:Actively AI provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Actively AI factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Actively AI leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Actively.ai reserves the right to modify this information at any time, subject to applicable law. Actively AI is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Actively AI is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation",Not Applicable,Data Scientist
+361,2025-03-29,Irving,Texas,McKesson,https://bit.ly/3xadvB0,"Welcome to the official LinkedIn page for McKesson Corporation. We're an impact-driven healthcare organization dedicated to “Advancing Health Outcomes For All.”
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+As a global healthcare company, we touch virtually every aspect of health. Our leaders empower our people to lead with a growth mindset and deliver excellence for our customers, partners, and the wellbeing of people, everywhere. We work with biopharma companies, care providers, pharmacies, manufacturers, governments, and others to deliver insights, products and services that make quality care more accessible and affordable. Delivering better health outcomes for our employees, our communities, and our environment. Every day, we strive to inspire and enable people to reach their full potential.
+
+To learn more about how #TeamMckesson helps improve care in every setting, visit: https://bit.ly/3xadvB0","McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.Current Need:The Machine Learning Engineer will support the development of an Enterprise MLOps Platform, designed to support, and streamline machine learning projects across various business units. This role involves leading the integration and engineering of state-of-the-art machine learning models, including large language models (LLMs) and pretrained models for text, image, video, and audio data. The successful candidate will provide expert consulting to business units, helping to deploy scalable and efficient AI solutions that drive significant business value.Responsibilities:Implement scalable and reliable systems to handle model inference at scale.Deploy and manage machine learning models in production environments.Work on containerization and orchestration solutions for model deployment. Participate in fast iteration cycles, and adapting to evolving project requirementsCollaborate with ML scientists, software engineers, data engineers and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and automated model deploymentCollaborate with Engineering/DevOps teams to optimize infrastructure for machine learning workloads.Manage and monitor machine learning infrastructure, ensuring high availability and performance. Implement robust monitoring and logging solutions for tracking model performance and system health.Monitor real-time performance of deployed models, analyze performance data, and proactively identify and address performance issues to ensure optimal model performance.Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability in a timely and efficient manner.Implement security best practices for machine learning systems.Ensure compliance with data protection and privacy regulations.Collaborate with DevOps engineers to effectively manage cloud compute resources for ML model deployment, monitoring, and performance optimization.Participate in the development of documentation, standard operating procedures, and guidelines related to MLOps processes, tools, and best practices.Minimum RequirementsDegree or equivalent and typically requires 4+ years of relevant experience.Critical SkillsAbility to work across the full stack and move fluidly between programming languages and MLOps technologies (e.g.: Python, Spark, R, DataBricks, Github, MLFlow, Airflow)Understanding of Azure stack like Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Kubernetes Service, Azure Monitor etc.Experience with cloud-based ML services like AutoMLExperience with visualization technologies (e.g.: RShiny, Python DASH, Tableau, PowerBI) and familiarity with data privacy standards, methodologies, and best practices Experience in developing and maintaining APIs (e.g.: REST)Experience in development, deployment and operations of AI/ML modelling of complex datasetsExpertise in Unix Shell scripting and Dependency driven job schedulers.Additional SkillsExcellent communication and interpersonal skills, with the ability to engage and influence with technical teams, business leaders, and external partners.Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale.Experience specifying infrastructure and Infrastructure as a code (e.g.: docker, Kubernetes, Terraform) Experience with data in the drug supply chain and commercial domain within healthcare, pharma is a plusTeams up and collaborates for speed, agility, delivery excellence and innovation Strong negotiation and decision-making skillsEducation:Bachelor’s or master’s degree in computer science, Data Science, Information Technology, or a related field OR equivalent experienceCandidate must be authorized to work in the U.S, now or in the future, without the support from McKesson. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.Our Base Pay Range for this position$119,600 - $199,400McKesson is an Equal Opportunity EmployerMcKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.Join us at McKesson!",Mid-Senior level,Machine Learning Engineer
+362,2022-12-20,New York,NY,OXMAN,https://oxman.com/,"Envision a future of complete synergy between Nature and humanity, where human-made and Nature-grown become indistinguishable.
+
+OXMAN is a new kind of company fusing design, technology, and biology to invent multi-scale products and environments—allowing design to empower science and science to empower design. As activist designers, we call for a fundamental shift from human-centric design to Nature-centric design. Categorical delineations between climate change and global pandemics, loss of biodiversity and loss of empathy for one another give way to authoring systems that address manifold challenges. Through this shift, we open ourselves up to moving beyond mere maintenance of Nature toward its radical betterment.","OXMANOXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design.At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it.We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments.This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond the mere maintenance toward the advancement of Nature.SummaryOXMAN is seeking a Machine Learning Engineer to join an all-star interdisciplinary team of deep thinkers and brilliant makers, with the aim to leverage artificial learning systems as a tool for mediation between human-made and nature-grown environments. By employing a generative approach and a commitment to process-oriented creation at OXMAN, the Machine Learning Engineer will play a crucial role in a variety of endeavors. These range from design tasks to technological platform advancement, all with the overarching objective to facilitate mediation and dialog and opening opportunities for interactions of combined systems that unite physical, digital, and biological realms.In this position they will design, optimize, and deploy machine learning pipelines using large multimodal datasets containing heterogeneous and complex information related to biology, design, and sustainability. Lead the development of deep generative modeling efforts to explore design spaces and develop real-world deep reinforcement learning methods in biological-artificial hybrid systems. Successful applicants embody stellar technical skills, hold the capacity to navigate and resolve uncertainty, and demonstrate a unique ability to find synergies between biology (wetware), computing (software) and fabrication (hardware). The Machine Learning Engineer will play a key role in researching and developing novel algorithms, models, and methods for solving unique challenges within a variety of biological and bio-inspired systems—from single-celled organisms to whole ecologies and even biotic-abiotic hybrid systems.Core ResponsibilitiesApply techniques from artificial intelligence and machine learning to research, develop, implement, and evaluate state-of-the-art algorithms for applications related to design, fabrication and biologyResearch and develop methods and frameworks in the area of multi modal machine learning, deep generative modelling and deep reinforcement learning to support OXMANs vision of integrated physical, digital and biological systemsPerform and conduct data gathering and data analysis on environmental and biological data as it relates to OXMANs design goalsActively seek opportunities to publish work in top-tier journals and other platforms for promoting scientific knowledgeNurture and augment the scientific vision of OXMAN, upholding core design principles and ensuring the highest and most innovative quality of workActively partner with a multidisciplinary team of professionals, including other biologists, engineers, and designers, across scientific and design pursuitsCommunicate ideas, work, and progress clearly, including by engaging in team meetings, presentations, and other creative communication outletsQualifications & CompetenciesPhD or equivalent, with a focus on computer science, artificial intelligence, machine learning, applied data science, bioinformatics, mathematics, physics, or relevant fieldMinimum 4 years of experience with machine learningExperience in one or more of the following: Multi Modal Machine Learning, Deep Generative Modeling, Deep Reinforcement LearningPortfolio demonstrating out-of-the-box thinking and integration of artificial intelligence methods to other domainsFluency with programming (e.g., Python, C++, ...)Expert knowledge in Machine Learning Frameworks (Pytorch, JAX, ...)Ability to thrive in a fast-paced entrepreneurial environmentExcellent independence, self-motivation, organizational skills, and attention to detailAn interest in design, biology, architecture, artificial intelligence, and/or sustainability is a plusStrong commitment to the team; maintains positive working relationships with diverse people, including internal team and external partnersEmbodies ethics and integrity in all work, respecting both company and broader community policies in all conductOXMAN does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other legally protected characteristics.NYC Salary Range: $83,000-$225,000Salary is based on a number of factors including job-related knowledge, skills, experience, and other business and organizational needs. Our compensation package also includes variable compensation in the form of year-end bonuses, benefits, immigration assistance, and equity participation.",Not Applicable,Machine Learning Engineer
+363,2025-03-21,Chicago,IL,LaSalle Network,https://www.thelasallenetwork.com,"LaSalle Network is a national staffing, recruiting and culture firm with business units that specialize in accounting and finance, administrative, call center, executive search, healthcare revenue cycle, human resources, management resources, marketing, sales, supply chain and technology.
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+Since inception in 1998, LaSalle has worked with thousands of clients and placed more than 80,000 candidates in temporary, temporary-to-permanent and permanent positions.
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+LaSalle Network has been listed on the Inc. 5000 “Fastest-Growing Privately Held Companies in America” list for 12 years, Inc. magazine’s “50 Best Workplaces,” Forbes’ ""America’s Best Professional Recruiting Firms"" list, Fortune's ""Best Small & Medium Companies to Work For,"" “Best Workplaces in Consulting and Professional Services"", and ""Best Workplaces in Chicago"", and Crain’s Chicago Business’ “Best Places to Work” list.
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+For more information, please call 312-419-1700 or visit www.lasallenetwork.com.","Our client is an innovative leader in AI-driven solutions, leveraging machine learning and advanced analytics to drive business transformation. They are committed to fostering a collaborative and inclusive work environment, empowering employees to push the boundaries of AI technology. Our client is seeking a Machine Learning / AI Engineer to join their team in Nashville, TN in a hybrid role. This is an exciting opportunity for a skilled engineer to work on cutting-edge AI and machine learning solutions, driving innovation and solving complex problems across various domains. The pay range for this role is $135,000-$170,000 depending on experience.  Machine Learning / AI Engineer Responsibilities:Design, develop, and deploy AI/ML models for real-world applicationsCollaborate with cross-functional teams to integrate ML solutions into existing systemsPerform data preprocessing, feature engineering, and model optimization to enhance performanceImplement and maintain scalable machine learning pipelines for training and inferenceConduct rigorous testing and validation of AI models to ensure reliability and accuracyMonitor and improve model performance using real-time data and feedback loopsStay up to date with the latest advancements in AI, deep learning, and machine learning technologiesWork with large datasets, leveraging cloud platforms and distributed computing for efficiency Machine Learning / AI Engineer Requirements:3+ years of experience in AI/ML engineering, data science or related fieldsStrong knowledge of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and statistical modelingProficiency in Python, R, or Julia for AI/ML developmentExperience with cloud platforms such as AWS, Azure, or GCPHands-on experience with MLOps, CI/CD for machine learning, and containerization tools (Docker, Kubernetes)Familiarity with natural language processing (NLP), computer vision, or reinforcement learning is a plusStrong problem-solving skills and the ability to translate business needs into AI-driven solutionsExcellent communication skills and the ability to work in a collaborative team environmentExperience with large-scale data processing frameworks such as Apache SparkBackground in time-series forecasting, anomaly detection, or predictive analyticsPrevious experience in healthcare, finance, or manufacturing industries is a plus Machine Learning / AI Engineer Benefits:Health, dental, and vision insurance401(k) with company matchingFlexible hybrid work schedulePaid time off and company holidaysOpportunities for professional growth and development  This is a hybrid role based in Nashville, TN, offering the opportunity to work remotely while also collaborating in-person with a talented team of engineers and data scientists.  If you are interested in this opportunity and meet the qualifications, please apply today!  Thank you,  Abby Meeks Senior Project Manager LaSalle Network LaSalle Network is an Equal Opportunity Employer m/f/d/v. LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Marketing, Technology, Supply chain, Healthcare Revenue Cycle, Call Center, Human Resources and Executive Search. LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries. LaSalle Network is the premier staffing and recruiting firm, earning over 100 culture, revenue and industry-based awards from major publications and having its company experts regularly contribute insights on retention strategies, hiring trends and hiring challenges, and more to national news outlets. LNPW",Mid-Senior level,Machine Learning / AI Engineer
+364,2025-01-09,,,Hugging Face,https://huggingface.co,The AI community building the future.,"At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the RoleGradio is the most widely used library to build and share machine learning demos, with more than 6m monthly downloads on PYPI. It is maintained by the Gradio team within Hugging Face. We are currently working on a suite of AI tools to help users quickly understand and write Gradio code.The first is the Playground: a code editor on our website which can generate or update complete Gradio demos based on a user's query. The main objective for a Machine Learning Engineering intern will be to expand this effort. We can leverage :500k Gradio spaces and thousands of existing prompts from users to build a sophisticated model pipeline with the proper context of how Gradio works. More and more developers are relying on LLMs for assistance in writing code, but these LLMs often do not have proper context on how Gradio works. Gradio has evolved from a library to an ecosystem for machine learning developers, with custom components contributed from our community, Python and JS clients, and Gradio Lite. To advance these efforts and as Gradio's usage and developer community grows, it's important to invest in tools that can help users learn, build and contribute to Gradio.About YouYou're passionate about open source and making advanced ML tools accessible. You are someone who stays up to date with the latest machine learning trends and models. You love experimenting and have a high bias for action and results. Some of our requirements for this role : Experience using modern deep learning libraries and LLM APIs and understanding tradeoffs between different models and APIs Knowledge of how to fine-tune LLMs, create retrieval-augmented generation pipelines, and use re-rankers for two-stage retrieval You're comfortable exploring and contributing to a codebase consisting of Python and Svelte-flavored JavaScript You have a ""product mindset"" -- like experimenting with different user interfaces to build products that are useful to to hundreds of thousands of users  If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.RequirementsPlease provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.",Internship,"Machine Learning Engineer Internship, Gradio - US Remote"
+365,2025-04-04,Los Angeles ,,Lumicity,http://www.lumicity.io,"Solutions Led, Results Driven.
+
+Founded in 2016 as the US entity of the G2V Group off the back of increased US demand, Lumicity is a technical staffing agency that strives to provide world class talent solutions within emerging technologies across the United States, placing the best resource across Engineering, Life Sciences, Technology & Energy. We provide expert, consultative solutions on a direct hire or contract basis and provide a contingent, retained & executive search service to our clients.
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+We are located in Los Angeles, San Diego, Houston, Miami & Chicago with plans for further expansion. Meteoric growth has been achieved through expert market knowledge, excellent standards and exceptional customer care to both clients and candidates; we are one of the most respected recruiters within the industry. 
+
+Our team of experts listen to your recruitment needs and only prescribe solutions of the highest standard. By dividing our consultants into vertical market areas within your industry, you can rest assured that you are only ever working with a technical expert who understands the terminology and nuances that you do not get with most other agencies.
+
+We are proud to be providing solutions to some of the most innovative technology start-ups across, as well as serving some of the most established brands throughout the US.",Senior Machine Learning Engineer (Deep Learning) - Bay AreaExciting stealth-mode AI startup creating state-of-the-art climate models.QualificationsProficient in C++ and PythonExpertise in deep learning architecturesExperience working in a start-up environmentExperience with climate modeling (not required),Mid-Senior level,Machine Learning Engineer
+366,2025-04-07,Menomonee Falls,Wisconsin,Kohl's,http://careers.kohls.com,"Kohl’s is a leading omnichannel retailer with more than 1,100 stores in 49 states.
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+Kohl's business is built on a solid foundation of more than 60 million customers, an unmatched brand portfolio, industry-leading loyalty and Kohl's Card programs, a convenient and accessible nationwide store footprint, and large digital business on Kohls.com and the Kohl's mobile app.","About The RoleIn this role you will work with a data science team and cross-functional partners to solve business challenges in the area of price optimization, promoting data-driven decision making with advanced data analysis, causal inference and machine learning.What You’ll DoAssist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlationsConduct exploratory data analysis to cull actionable insights using analytical rigor and statistical methodsCollaborate with stakeholders to understand business requirements and translate them into technical solutionsDevelop and implement statistical and machine learning models to solve business problems within a cross-functional teamCollaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models and algorithmsDocument projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metricsIdentify and drive continuous improvement of key business metrics within the balanced teamRemain current on the latest trends and developments in data science and technology through self-learning and training opportunitiesAdditional tasks may be assignedRequiredWhat Skills You HaveExperience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver valueExperience using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.Strong problem-solving skills with an emphasis on product developmentExperience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on resultsEffective communication and collaboration skillsBachelor’s of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field2+ years of progressively complex data science or analytics experiencePreferredMaster’s degreeRetail experienceExperience with causal inference concepts and modeling techniquesUnderstanding of econometrics and price elasticity modelingExperience supporting and enhancing live production models",Not Applicable,Data Scientist I (Remote)
+367,2025-04-04,Houston,TEXAS,"Sira Consulting, an Inc 5000 company",http://www.siraconsultinginc.com,"SiRA Consulting is a Certified MBE consulting company that was founded in 2012. As the business world continues to grow and develop, new technologies are appearing in order to help keep up with demand. These technologies can change as rapidly as the rest of the business landscape and it can sometimes feel hard to keep up with.
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+Our IT services can help smooth the path between technology and business, helping to keep companies competitive without being forced to hire an expensive in-house team, or waste the valuable time of staff that are trained to perform other jobs. We offer reliable solutions that are more than just a few technology experts on staff to help you get through software upgrades. We can help you increase efficiency, minimize costs, and add in new technologies without compromising on time or quality. Our expert knowledge can point you to a path that you may not otherwise have taken, and will help reduce costs and increase efficiency.","Job DescriptionML Engineer – Generative AI Terms: 1+ year contract Location: Malvern, PA Work schedule details: Hybrid 3 days a week onsite    UPDATES:Looking for an expert engineer/developer with a year or two experience with generative AI (genAI is only a few years old from the perspective of the user). Details: Responsibilities:Develop, test, and deploy AI/ML solutions to address various business needsCollaborate with data scientists, product managers, and other stakeholders to understand requirements and deliver solutionsOptimize and maintain existing AI/ML models to ensure they perform efficiently and accurately  Required Qualifications:Expertise with SQL and the Python programming languageExperience with a variety of Python’s frameworks and libraries for AI/ML development (e.g. anthropic, TensorFlow, scikit-learn, etc.)Experience building AI/ML solutions on AWSFamiliarity with data engineering practices such as time series data and fact-based data and tools such as Python’s Polars package",Associate,Machine Learning Engineer
+368,2025-02-12,New York,New York,Bombora,http://bombora.com,"Bombora is the leading provider of Intent data for B2B sales and marketing. Bombora's data aligns marketing and sales teams, enabling them to base their actions on the knowledge of which businesses are actively researching what products, and the intensity of that research. 
+
+Using this information, marketers can drive more qualified demand through the funnel, while sales teams can better prioritize accounts and have higher quality conversations. 
+
+The source of this data is the first co-operative of 5,000+ premium B2B media companies. Members contribute content consumption and behavioral data about their audiences that are aggregated into over 10,000+ Intent topics. In turn, they can better understand their audiences, serve advertisers and monetize their inventory.","The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a kind Data Cooperative—enabling a holistic view of an account's research and consumption behavior. From this data, Bombora derives actionable insights that make it possible for brands, agencies, and publishers to identify, understand, and reach their prospects and customers, throughout the buyer and user experience, across the activation platforms of choice.Bombora is continually recognized by analyst firms as a leader in Intent data powering GTM data solutions.As our Machine Learning Engineer, you will play a key role in building and deploying cutting-edge ML and NLP solutions that drive real business impact. You will work on high-scale, production-grade ML pipelines using GCP, Python, and SQL, collaborating closely with data scientists, engineers, and product leaders to bring models from research to deployment. This role offers a unique opportunity to work on complex deep learning challenges, optimize models for real-world performance, and contribute to a growing, high-impact ML ecosystem.We thrive on innovation, collaboration, and end-to-end ownership—every engineer has the autonomy to experiment, build, and deploy solutions that shape key business decisions. If you're looking for a fast-paced, highly technical, and impact-driven environment, this is the perfect place to grow your ML expertise and make a tangible differenceYou will…Implement end-to-end ML workflows on GCP (preferred), integrating data pipelines and model deployment.Work with SQL / PL SQL to clean, transform, and prepare large datasets for ML models.Write efficient Python code, optimize model inference, and develop APIs for model integration.Apply statistical methods to evaluate and improve model performance.Work closely with data engineers, software teams, and product managers to bring ML solutions into production.Implement model monitoring, retraining pipelines, and troubleshooting workflows to keep models accurate over timeTune hyperparameters, optimize inference speed, and ensure models are cost-effective at scaleYou have…4+ years experience in developing ML applications and ML models on Cloud (GCP preferred) Proficiency in Python for ML model development, data manipulation, and automation.Hands-on experience with frameworks like TensorFlow, PyTorch, or Hugging Face.Ability to build and integrate ML models with APIs (e.g., Flask, FastAPI, or cloud-based endpoints).Solid understanding of probability, hypothesis testing, and model evaluation techniques.Prior experience shipping ML models into production at scaleFamiliarity with Git, Docker, and ML CI/CD pipelines for automated testing and deploymentAbility to design ML systems that handle high-throughput, real-time, or batch processing workloads efficientlyBonus points for...Experience with CI/CD for ML models, model monitoring, and orchestration tools like Kubeflow or AirflowKnowledge of distributed computing frameworks (e.g., Spark, Dask) for large-scale ML processing.Understanding of LLMs and vector search for enhancing NLP applicationsPerks and BenefitsHealth / Dental / VisionFlexible Spending / Health Spending AccountsFlexible Vacation / Paid Holidays / Summer FridaysEducation / Tuition Assistance / Annual Learning Stipend401K / MatchGenerous Parental Leave (16 weeks primary/12 secondary)Commuter BenefitsOn Demand Learning (Udemy)Team Lunches / Outings / Events (Yes! We found a way to do virtually!)Compensation PackageThe salary range for this position is $155,000 to $170,000. Actual compensation may vary and will be based on a candidate's qualifications, skills, experience, and location.EquityAt Bombora, we embrace diversity because it breeds innovation. Bombora is an equal-opportunity employer and participates in E-Verify. Employment offers are contingent upon completion of successful background checks.",Entry level,Machine Learning Engineer
+369,2025-03-27,,,Sony Interactive Entertainment,,,"Why PlayStation?PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.Machine Learning Engineer IISan Francisco, CADo you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? The work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning systems.We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams-across Engineering and Product. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.You Will:Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations.Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of recommendation systems.Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.Collaborate with cross-functional teams of technical members and non-technical members in architecture, design and code reviews.Analyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologiesProduce reusable code according to standard methodologies in PythonYou Bring:Masters degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent experienceExperience with Python, and ideally also Scala or JavaExperience in developing ML models for structured data, and ideally also unstructured dataIndustry work experience in designing and implementing large-scale machine learning-based solutions that ideally include: recommender systems, personalization, and A/B testing.Strong machine learning, and statistical knowledgePreferred Qualifications:Proficient with Machine learning frameworks such as Tensorflow, PyTorch, MLlibExperience with Databricks, Spark, Tecton, Kubernetes, Helm, JenkinsFamiliarity with standard methodologies in large-scale DL training/InferenceExperience with reducing model serving latency, memory footprintExperience in cloud-based environments, such as AWSExperience working with custom ML platformsPlease refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.The estimated base pay range for this role is listed below.$182,000—$273,000 USDEqual Opportunity Statement:Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.",Not Applicable,Mid-Career Machine Learning Engineer - Recommendation Systems
+370,2025-03-26,Tampa,Fl,Kforce Inc,https://kfrc.co/4cjVXax,"Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers industry-leading companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise.
+
+Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®","ResponsibilitiesKforce has a client that is seeking a Lead Machine Learning Engineer in the following locations: NJ, DE Eastern PA, Eastern MD, NYC and Northern VA. Summary: As a Machine Learning/Python Lead Software Engineer, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. They are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Responsibilities: Learn about and understand our supported businesses in order to drive practical and successful solution Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Create secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contribute to software engineering communities of practice and events that explore new and emerging technologies Add to team culture of diversity, equity, inclusion, and respectRequirements Formal training or certification on software engineering concepts and 5+ years applied experience Proficient in coding in one or more languages Advanced experience in Python and distributed computing frameworks such as PySpark Experience in setting up Machine Learning platform infrastructure and deploying to the cloud to develop and train machine learning models Hands-on experience and solid understanding of machine learning methods and MLOps, deploying and scaling ML and AI Models on Public cloud services Hands-on experience with AWS cloud-based application development and infrastructure - EC2, EKS Experience in designing and building AWS data pipelines using Lambda, SQS, SNS, Athena, Glue, EMR, S3 to facilitate ML training Experience analyzing and evaluating the ongoing performance of developed models Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Hands-on practical experience in system design, application development, testing, and operational stability Overall knowledge of the Model Development Life Cycle Preferred qualifications, capabilities, and skills: Practical cloud native experience  In-depth knowledge of the financial services industry and their IT systemsThe pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.This job is not eligible for bonuses, incentives or commissions.Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.",Associate,Lead Machine Learning Engineer - Python
+371,2025-04-07,St Petersburg,Florida,EVONA,http://www.evona.com,"We believe in the evolution of knowledge and the progression of people - it is so core to our business, it's the meaning of our name: EVO - to evolve, ONA - people. ​
+
+EVONA Group brings together pioneering talent solutions for today’s most ambitious companies, with a suite of services designed to meet the unique demands of space, defense, and deep tech.
+ 
+FRACTION - www.evonafraction.com - connects VCs, PEs, and founders with fractional executives, bringing high-impact expertise exactly when it’s needed. 
+
+GRAM PARTNERS - www.grampartners.com -  is our white-glove executive search and consulting service, led by former SpaceX and Apple executives, delivering unmatched precision in high-level talent acquisition. 
+
+EVONA - www.evona.com -  is the original, award-winning subscription and direct hire service for VP, director, management, and individual contributor roles, trusted by top companies for a seamless recruitment experience.
+ 
+Our platforms empower you to source talent independently or access curated executive search expertise – and we’ve built a following you can leverage to drive your mission forward.
+
+Call on: +1 202-381-9944 (US) or +44117 2034444 (UK)","Machine Learning EngineerThe Machine Learning Team is focused on developing and implementing advanced machine learning algorithms to solve complex problems in the evolving space economy. These efforts span various domains, including Computer Vision, Edge Processing, Data Fusion, and probabilistic statistical modeling.As a Machine Learning Engineer, you will enhance existing capabilities, incorporate the latest research, implement state-of-the-art algorithms, productionize models, create MLOps solutions, and work with end-users to deploy innovative systems.Key ResponsibilitiesDesign, develop, and validate reliable and scalable algorithmic solutions.Research and implement cutting-edge algorithms for challenging space-based applications.Optimize the runtime performance of existing implementations.Collaborate with end-users and partners in a team-focused, innovative environment.Integrate current and future machine learning solutions into production pipelines.Contribute to team discussions and provide insights to drive innovation across multiple related projects.QualificationsMinimum RequirementsBachelor’s or Master’s degree in Data Science, Machine Learning, or a related technical field, or 4+ years of relevant professional experience.Strong programming skills in Python.Proficiency with one or more of the following frameworks: PyTorch, TensorFlow, JAX.Solid understanding of linear algebra, calculus, statistics, and machine learning principles.Hands-on experience in developing advanced machine learning applications.Proficiency in data analysis, engineering, and exploration techniques.Excellent problem-solving, critical thinking skills, and strong engineering fundamentals.Ability to communicate complex algorithms and concepts effectively.Strong oral and written communication skills.Experience with Linux and shell command-line tools.Willingness to travel for collaboration across teams.Flexibility to work extended hours or weekends occasionally, if necessary.Eligibility to obtain a Secret or TS/SCI security clearance.Preferred Skills and ExperienceProgramming skills in C++.Experience productionizing machine learning solutions.Experience working in cloud environments (AWS, GCP, Azure).Knowledge of areas such as computer vision, uncertainty quantification, signal processing, computational physics, and time series analysis.Familiarity with platforms like Kubeflow, Blender, or Nvidia Omniverse.Additional RequirementsThis role may involve access to technology and software subject to U.S. export controls. Applicants must meet export control compliance criteria, including being a U.S. citizen, lawful permanent resident, refugee, or asylee, or be eligible for required U.S. Department of State authorizations.BenefitsHealth Insurance: Comprehensive medical, dental, and vision coverage.Retirement Plans: Access to a 401(k) plan.Paid Time Off: Generous vacation, personal days, and holidays for a healthy work-life balance.Professional Development: Access to training, workshops, and courses to foster career growth.Team Building: Regular social events, team outings, and company-sponsored activities.Diversity and Inclusion: A welcoming and equitable work environment supported by dedicated initiatives.About UsWe are a forward-thinking company dedicated to shaping the future of space exploration and operations. Our work includes designing cutting-edge spacecraft for space transport, orbital debris removal, and Space Domain Awareness (SDA) to support current and future space missions. We aim to deliver high delta-V per dollar to maximize cost-efficiency in space transportation. Our past successes include the launch of our first satellite in mid-2023, with additional missions planned for 2025.Apply now to join a collaborative and innovative team driving the future of space technology.",Mid-Senior level,Machine Learning Engineer
+372,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, your impact can be huge:We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What you will be doing:Develop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice to have:Expertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+373,2025-03-28,Princeton,New Jersey ,Compunnel Inc.,http://www.compunnel.com,"Compunnel, Inc., founded in 1994 and headquartered in New Jersey, is at the forefront of providing customized workforce and digital transformation solutions, enhancing the total experience for our valued business allies. Our approach integrates innovative technologies with a human-centric dialogue, exceeding the needs of our customers, employees, partners, and key growth contributors and delivering exceptional value.  
+
+With a strategic presence across the United States through over 30 local service delivery centers and global support from our centers in Canada, India, and the UK, Compunnel proudly serves over 200 clients, including 23% of Fortune-listed enterprises. Our expertise is trusted by various clients, from global corporations to various federal, state, and local agencies seeking premier talent solutions.  
+
+An 12-time honoree by Inc. 5000 as one of the Fastest-Growing Private Companies in the US, Compunnel facilitates businesses in multiple sectors to secure top-tier talent and cutting-edge technology solutions. We specialize in Software Development, Cloud Services, Data Analytics, AI & Machine Learning, Cybersecurity, and  Recruitment Solutions in IT, Non IT & for Public Sector. Our AI-powered, intelligent solutions are at the core of our digital offerings, driving smarter decision-making and empowering organizations to bridge the gap between their current and desired states with precision, speed, and  a measured approach. For over three decades, we have been the leading choice of more than 23% of Fortune 500 companies for their technology and talent needs.   
+
+As a recognized Minority Business in the US and Canada, we champion diversity and inclusivity, ensuring equal opportunities for talent from diverse backgrounds. Our robust partnerships with technology leaders like AWS, Microsoft, UiPath, and Google Cloud reflect our commitment to pioneering AI-driven innovations and establishing centers of excellence for our Fortune 500 clients worldwide.  
+
+ ","Updated Must Haves-Strong project experience in Big Data platform with Amazon Web Services and Cloudera Data Platform is must.Strong experience with REST API development using Python frameworks (Django, Flask etc.) is must.Micro Services/Web service development experience using Spring framework is must.4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.Good project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive",Mid-Senior level,Machine Learning Engineer
+374,2025-03-20,,,Top AI Start up,,,"ML Engineer at a top AI start upRequirements:Experience from a start-up, or from an AI/ML engineering background Bachelors degree from top 50 Computer Science schoolResponsibilities:Create datasets, benchmark models, and define evaluation metrics for various tasks in voice agent platform.Train / Fine-tune various audio & LLM models for accuracy, latency, and domain specific knowledge.Work with engineers to integrate, monitor, and optimize models in production.Setup and manage a scalable human evaluation pipeline.Stay updated on cutting-edge AI advancements and experiment with / benchmark new models.Create scalable ML infrastructure & deployment within the system.",Mid-Senior level,AI/ML Software Engineer
+375,2025-03-28,San Francisco,California,Scale AI,https://scale.com,"At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 
+
+The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
+
+Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. ","The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.We are building a large hybrid human-machine system in service of ML pipelines for Federal Government customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.You will:Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers. Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines Work with massive datasets to develop both generic models as well as fine tune models for specific products Build the scalable ML platform to automate our ML service Be a representative for how to apply machine learning and related techniques throughout the engineering and product organizationBe able, and willing, to multi-task and learn new technologies quickly This role will require an active security clearance or the ability to obtain a security clearance.Ideally You’d Have:Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment Solid background in algorithms, data structures, and object-oriented programming Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch Nice to Haves:Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience with generative AI models Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$224,400—$293,250 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$201,960—$263,925 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.",Entry level,"Machine Learning Engineer, Public Sector"
+376,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+377,2025-03-20,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems. Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions. Deploy and maintain scalable recommendation models for real-time query handling and product suggestions. Analyze complex datasets to derive insights that guide strategic decisions. Stay up-to-date with the latest machine learning developments, incorporating them into your work.QualificationsMinimum Qualifications: Master's degree in Computer Science, Engineering, Operations Research, or related fields. Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline Thorough understanding understanding of data structures and algorithms, with excellent problem-solving ability. Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineeringPreferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications Internship experience or research experience, especially in e-commerce, recommendation, search engine Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI. Curiosity toward new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilitiesTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2025 Start (MS)
+378,2025-03-24,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced senior machine learning engineer to help us develop the cutting-edge Computer Vision models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Applied Machine Learning expert to join our team. As a Computer Vision expert, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the computer vision system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph and inventory information more accurate and real time, as well as help Dasher efficiency. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve consumer vision problems such as entity recognition, entity resolution, attribute extraction, object detection, segmentation, metric learning, and category classification, image classification.Collaborate with cross-functional leaders across engineering, product, and business strategy to help shape a product roadmap driven by machine learning, accelerating the growth of a multi-billion-dollar retail delivery ecosystem.Explore and harness diverse data sources, leveraging intuitive models and fostering a culture of flexible experimentation. Your goal will be to continuously improve the shopping and dashing experiences, delivering solutions that are not only effective but also scalable and user-centric.Drive impact and enjoy ample room for both personal and professional growth. This includes opportunities for deep technical development and leadership as you work within a growing team that is actively unlocking new markets for the company.Innovate and experiment with cutting-edge technologies and methodologies in AI and ML. You’ll have the freedom to explore emerging technologies, test new ideas, and drive technical innovation in the computer vision space, directly shaping the future of our retail and delivery solutions.We’re Excited About You Because You Have…Industry experience developing machine learning models with business impact, and shipping ML solutions to production. You have successfully shipped ML solutions to production and understand the nuances of transitioning models from development to real-world environments.Deep expertise in applied Computer Vision, with hands-on experience solving challenging vision-related problems and implementing solutions that drive customer value. Your knowledge extends to solving complex tasks such as object detection, classification, and segmentation.Strong machine learning and programming skills, particularly in Python, with experience in key ML frameworks such as PyTorch, TensorFlow, or Spark. You’re able to implement scalable models and optimize performance for production systems.You must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New YorkM.S., or PhD. in Computer Vision, Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field is a plusFamiliarity with causal inference and experimentation techniques, enabling you to design and evaluate experiments that validate the effectiveness of ML models and ensure the product’s continuous improvement.Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,"Machine Learning Engineer, Computer Vision"
+379,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services.We use AIGC large model, deep learning, machine learning and other technologies to establish a safe and trusted connection between billions of active users and the company's commercial products (advertising, e-commerce, live broadcast, etc.). By building a highly concurrent and highly reliable risk control system, we can perceive and deal with the risks of commercial products in real time. By building an end-to-end deep learning model and machine learning system, we can understand the content of commercial products and automatically review tens of millions of content in a short time.We are a technical team distributed in Beijing, the Bay Area of the United States, Singapore and other places. We sincerely invite you to join us and build the most advanced risk control system in the industry.Responsibilities: Responsible for understanding content of advertisements, including titles, images, videos, OCR texts, ASR texts, etc. Responsible for the construction of models, such as AIGC model, semantic matching model, classification model, etc. Responsible for the construction of text-related strategies, including keyword mining, rule mining, etc. Participate in basic NLP capacity building, such as long/short text classification, seq2seq, NER, keyword mining, attention mechanism and other related technologies.Qualifications Excellent algorithm foundation and programming ability, familiar with mainstream programming languages such as python/c++. Familiar with NLP-related tasks, and have practical experience and technical accumulation in one or more fields of NLP. Familiar with the theory of deep learning and machine learning, such as Bert, Transformer, Electra, LSTM, LR, SVM, HMM, CRF, Decision Tree, Random Forest, etc. Familiar with model training frameworks, such as tensorflow, pytorch, mxnet, etc. Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills. Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability. Experience in AIGC models is preferred.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $117000 - $210960 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer - NLP, TikTok Business Integrity"
+380,2025-03-10,Toronto,Ontario,Ideogram,https://ideogram.ai/,"Ideogram is defining the future of design in the age of AI. Turn your ideas into stunning graphic designs, in a matter of seconds. It's pronounced eye-dee-oh-gram.","Ideogram’s mission is to help people become more creative. Our thesis is that everyone has an innate desire to create. We are developing state-of-the-art AI tools that will make creative expression more accessible and efficient. We are pushing the limits of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a small presence in NYC. Read our Canvas and Ideogram 2.0 blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About The RoleAs a Machine Learning Engineer, you will build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.What We're Looking For2+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlowExperience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratchTrack record in machine learning innovation and familiarity with Deep Learning and advanced Machine LearningEnd-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AIAbility to debug machine learning models to iteratively improve model quality and performanceNice to have: Familiarity with kubernetes and dockerOptional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel codeFounding teamOur founding team consists of world-renowned AI experts including Mohammad Norouzi, Jonathan Ho, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, UC Berkeley, CMU, and the University of Toronto. Our fundamental work in AI includes: Imagen: Google’s text-to-image system, Imagen Video for video synthesis, Denoising Diffusion Models, which is the foundation of the recent generative media transformation.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.",Mid-Senior level,Machine Learning Engineer
+381,2025-04-05,San Francisco,CA,Lightfield,http://www.lightfield.app,A new kind of CRM.,"About LightfieldLightfield is a new kind of CRM.It's a collaborative system for founders to find, understand, and serve customers faster than anything before it.It captures every customer interaction, generates and performs followup actions, and answers questions about your go-to-market using knowledge obtained in real time.Our system is tuned and customized by a team of experienced sellers, engineers, and researchers. Many of us worked on large-scale products including Llama, Messenger, Instagram, Pinterest, and Linkedin before this.Lightfield.appAbout The RoleLightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers.Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMsWe’re inspired by the challenge of creating innovative new AI products for people doing serious work, and we’re looking to grow our AI/ML team to meet that challenge.Key ResponsibilitiesLead the development of ML product development infrastructure, focusing on scaling and innovating in areas of collaboration and versioning, particularly in the context of LLM model training and promptingCreate and maintain a platform that will be used by multiple teams working on ML products, ensuring its scalability, efficiency, and user-friendliness. Collaborate closely with internal teams to integrate ML solutions and define best practices for software engineering in an AI-driven development landscape. Help build a world-class AI/ML engineering team by recruiting and mentoring teammatesAddress and solve open-ended technological challenges in software engineering at scale, especially in the context of AI-driven systems. Who You AreYou have a BS or MS degree in CS, Engineering, AI or a related field. 6+ years experience in software engineering with a focus on ML infrastructure. You have a strong understanding of deep learning AI/ML frameworks or cloud servicesExperience with the integration of software engineering with large language models. Ability to navigate and solve open-ended technological challenges in a fast-evolving AI landscape. Excellent collaboration skills, with the ability to work effectively with both internal teams and external partners. Strong problem-solving skills and the ability to handle complex, cross-functional projects. Bonus PointsPublications in applied AI/ML scientific journalsExperience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc)Compensation Range: $180K - $270K",Mid-Senior level,"Machine Learning Engineer, GenAI Platform"
+382,2025-03-15,New York,New York,ITE Management,http://www.itemgmt.com/,"ITE Management L.P. is a privately held, SEC-registered, alternative investment firm focused on transportation infrastructure. We seek to generate stable risk-adjusted returns for investors through a highly diversified portfolio of critical, income-generating transportation assets.","ITE Management, a leading investment manager and private equity firm specializing in the acquisition of transportation equipment and asset operating platforms in the infrastructure sector, is seeking an Accounting Manager to join their Finance & Accounting team in New York. Founded in 2014, ITE targets real asset investment opportunities that are cash yielding with downside protection, and benefit from a team with deep, longstanding relationships and financial and operating expertise. Today, the firm manages over $9bn of assets globally across rail, intermodal, aviation, and emerging technology strategies with office locations in NYC, Chicago and St. Louis.We are seeking a highly skilled Data Scientist to join our growing team of data scientists at ITE. As a Data Scientist you will play a critical role in driving data-driven decision-making across our investment strategies, portfolio management, and risk platform. You will work closely with our verticals, business intelligence analysts, data engineers, and other stakeholders to design, develop and deploy data-driven solutions that drive investment decisions and facilitate improved operational outcome at our portfolio companies. You will have the opportunity to bring your ideas to life by building on a foundation of strong internal support, clear vision, engaged users and bright, kind teammates.Analytical Insights: Conduct in-depth analysis of internal or portfolio company data for deep understanding of underlying linear (and non-linear) dynamical structures. Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues. Risk Analysis and Management: Work closely risk team to develop and apply data-driven risk models ML Ops: Collaborate with data engineers and engineers to design and implement data pipelines, design infrastructure, and enable continuous delivery of high-performing models in production. Product Management: Work with vertical teams and portfolio company users to identify and concisely describe issues to solve, and subsequently translate and document these in terms of scope and functional requirements. Collaboration and Communication: Work closely with cross-functional teams, enabling clear communication and broad understanding of models applied and interpretation of results. Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis. RequirementsEducation: Bachelor's degree in relevant STEM field (e.g., Physics, Mathematics, Data Science, Computer Science); Master's degree preferred. Experience: At least 3-7 years of experience in a data science role Skills: Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models Strong programming skills in Python (or R or Julia) and SQL Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.) Working knowledge bringing models to production Experience with data modeling, data warehousing, and ELT processes Excellent communication and presentation skills Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) - and associated ML platforms (e.g., SageMaker, Vertex) Nice to HaveMonte Carlo Simulation: Experience building Monte Carlo models for time series simulation; experience with VAR or similar a plus. Domain Expertise: Experience with the analysis or application of data in finance or economics - specific experience with real assets a plus Salary Range:Estimated base salary range for this position is: $135,000-$215,000. Employees may also be eligible for an annual discretionary incentive compensation award. Actual base salary may vary based upon, but not limited to, relevant skills, experience, qualifications, and geographic locationBenefitsHealth Care Plan (Medical, Dental & Vision)Retirement Plan (401k, IRA)Life Insurance (Basic, Voluntary & AD&D)Paid Time Off (Vacation, Sick & Public Holidays)Family Leave (Maternity, Paternity)Short Term & Long Term DisabilityTraining & DevelopmentHybrid Workplace Free Food & SnacksWellness Resources",Entry level,Data Scientist
+383,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.AboutThe Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where """"there are no hard-to-sell, overpriced products.""""Responsibilities Elevate search recommendation services and models for TikTok E-commerce, driving heightened e-commerce search traffic on both TikTok and TikTok Mall, while enhancing user search and purchasing cognition. Optimize the recommender system, focusing on hyperscale machine learning models. This involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow. Push the boundaries of short text and general recommendation technology, with a specific emphasis on the interaction between recommendation and NLP technology.QualificationsMinimum Qualifications Bachelor or advanced degree in computer science or a related technical discipline. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.Preferred Qualifications 3+ years of work experience in machine learning. Good product sense with a focus on user experience. Domain knowledge or working experience in any of these areas: modern Recommendation, Search, Advertisement, E-commerce.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $112000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer - Search Recommendation, E-commerce"
+384,2025-04-09,Seattle,Washington,Edo,https://www.edoenergy.com/,"Edo is a leading provider of innovative energy efficiency and demand flexibility solutions. We partner with utilities to transform commercial buildings into efficient, reliable contributors to the electric grid. Utilities rely on Edo’s virtual power plants and AI-driven technology to optimize thousands of buildings and aggregate distributed energy resources. Edo’s technology and expertise improve energy consumption, reduce costs, and cut carbon emissions for a sustainable future. ","Edo partners with utilities to transform commercial buildings into efficient contributors to the electric grid. We have a bold vision: a future where clean energy is reliable, affordable, and empowers communities everywhere. The energy sector is undergoing its most dramatic transformation in decades, with the U.S. power grid being reimagined to meet evolving technological, environmental, and economic needs. Edo develops innovative energy efficiency and demand flexibility solutions that help utilities and building owners navigate this shift while ensuring grid reliability and operational efficiency. Let’s shape the future of energy together.The Opportunity with EdoWe are looking for a Machine Learning Engineer to join Edo’s R&D team, where you will develop tools to optimize energy use in buildings and implement novel control sequences to shift and shed electrical load in buildings. You will work closely with Edo’s Software Development team to deploy trained models into production; and you will work closely with Edo’s Operations team to evaluate building performance trends and identify measures to improve energy efficiency and occupant comfort.Ideally, you will have industry experience developing production-ready machine learning models and a strong theoretical understanding of machine learning concepts (statistics, time series analysis and forecasting, and optimization). Exceptional candidates will also have experience evaluating energy use in commercial buildings, including HVAC sequences of operation and onsite distributed energy resources (DERs).Our solutions operate on large streaming data sets, and you will gain experience deploying models in the cloud and on edge devices. You will also work closely with domain experts to build a deep understanding of the electricity grid, commercial building optimization, and opportunities for developing sustainable energy systems.What we want you to do:Develop and extend frameworks for time-series analysis and fault detection.Develop and improve machine learning algorithms for energy forecasting and optimal control.Develop automated methods for tuning machine learning models and retraining as necessary.Develop and extend inhouse python visualizations libraries for evaluating the performance of machine learning models.What we would like to see from you:Degree in Engineering, Physics, Computer Science, or a closely related quantitative field.Two or more years of experience conducting timeseries data analysis and developing machine learning models.Experience with machine learning techniques, including: data cleaning and imputation, feature selection, hyperparameter tuning, ensemble modeling, and error analysis.Experience deploying machine leaning models to production using Azure, Amazon Web Services, or similar.Excellent communication skills with the ability to engage both technical and non-technical audiences.Strong Python programming skills.What we’d like to see (but not required):Experience with SQL and/or time series databases.Experience with data visualization in python.Experience using AzureML to train, deploy and evaluate machine learning model performance at scale.Experience with physics-informed machine learning.Experience modeling energy use and/or controls in commercial buildings.PeopleFirst BenefitsWhen it comes to the basics, we have you covered:Competitive pay401(k) with employer match and profit-sharing planPaid time off and holidaysComprehensive medical, prescription, dental, and vision with low or zero deductible options and low out of pocket maximumsPeople come first at Edo, and we go beyond the basic benefits with:Family formation benefits, including adoption and IVF assistanceUp to 16 weeks paid parental leaveTransgender inclusive benefitsCommuter benefitsPet insurance“Building Good” paid community service timeLearning and advancement opportunities via McKinstry UniversityMcKinstry Moves onsite gyms or reimbursement for remote workersSee benefit plan documents for complete details.If you’re driven by our vision to build a thriving planet together, Edo is the place to build your career.The pay range for this position is $102,600 - $164,700 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Base pay information is based on market location. A bonus may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.Edo is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and qualified applicants without regard to sex, gender identity, sexual orientation, age, race, color, creed, marital status, national origin, disability, veteran status, genetic information or any other basis protected by law. This policy applies to all terms and conditions of employment including, but not limited to employment, advancement, assignment, and training. This commitment to Equal Employment Opportunity is made equally as a social responsibility and as an economic and business necessity. Edo is a drug-free workplace. Employment is contingent upon successfully passing a pre-employment drug and alcohol test, complying with the requirements of the Immigration Reform and Control Act and a Confidentiality Agreement, in addition to successful outcomes of background and reference checks. Applicants for this role will only be considered if they possess current US Work Authorization, and do not require employer-sponsored VISA support to begin or remain in this role.",Not Applicable,Machine Learning Engineer
+385,2025-04-01,Tampa,Florida,Gerdau North America,http://www.gerdau.com,"In North America, Gerdau manufactures merchant bar, structural steel, piling, special bar quality and rebar products for the agricultural, automotive, civil construction, distribution, energy, industrial, and mining markets.","Empowering people who build the future.BASIC FUNCTION (Primary Purpose)Build models and perform analysis with advanced Analytics techniques delivering models and extract relevant data to solve analytical problems. Good understand of descriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, Optimization, Data visualization, Pattern, cluster, segmentation analysis.Primary Duties & Responsibilities%Description Of Duty/responsibility80%Performs research, analysis, and modeling on organizational data.Ensure Analytics model quality assurance and validate them (peer validation)Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questionsDefine model monitoring criteriaProvides findings and analysis for use in decision making20%Develop Analytics best practices (models, standards, tools) Manage Analytics project pipeline and track Analytics impact on businessMonitor marketManage idea generation for patent developmentScopeMines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making. design, build and implement analytical solutions. Work closely with project teams and act as a Data Science & Advanced Analytics expert. Overall role in helping to drive global improvements based on qualitative data and by investigating various topics and sharing insights to a broader audience.Qualifications And Educational Requirement(s)Bachelor’s degree in a related area and 3 years of experienceExtensive knowledge of industry perspective and ability to translate business needs into dataAnalytical skillsDescriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, Optimization, Data visualization, Pattern, cluster, segmentation analysisExperience with analytical tools and languages - E.g. Python, SageMaker, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, PowerBI, Alteryx, Qlikview, Rapid Miner, Visual Basic, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, SQL language or SQL-likeGerdau believes in equal employment opportunity related to all employees and applicants for employment. It is the policy of Gerdau that there will be no discrimination against any employee or applicant for employment on the basis of race, religion, color, national origin, citizenship, marital status, sex, age, sexual orientation, genetic information, gender identity, veteran status, disability, or other legally protected status. All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship. If you are vision-impaired or have some other disability under the Americans with Disabilities Act / Accessible Canada Act or a similar law, and you wish to discuss potential accommodations related to applying for employment at Gerdau, please contact our Talent Acquisition Team at (866)-788-2798 or recruiting@gerdau.com",Entry level,Data Scientist
+386,2025-04-05,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.SMB engineering team is responsible for developing software to empower all small and medium businesses to succeed by building scalable platforms, seamless products and comprehensive solutions. In the next few years, while SMB revenue will be the significant portion of total ads business, as an engineering team, we also dedicate ourselves to solving challenging but interesting problems in a more scalable and innovative way through advanced software architecture, engineering practice and cutting-edge algorithms. At the same time, we closely work with strategies, data scientists, product managers, operations and sales teams. Diversity in skills, culture and background is our source of power.We are looking for machine learning engineers who are passionate about innovating, creating and evolving scalable and reliable software, architecture and technical solutions to systematically and aggressively enable our SMB customers' success and grow our company's revenue. You will work on many different challenging problems, such as creative recommendation, ads delivery, personalized coupons, LLM-based customer support, etc.Responsibilities: Responsible for building the growth algorithm of TikTok Monetization, including the acquisition, conversion, and resurrection of advertisers. Participate in the optimization of TikTok Monetization delivery system, including targeting, recall, and ranking. Responsible for the construction of TikTok Monetization intelligence service, exploring the application of large language models.QualificationsMinimum Qualifications: Master's degree in Computer Science, Engineering, Mathematics, or a related field. Experience with machine learning, in either an academic or industrial setting. Strong knowledge of machine learning algorithms and techniques, including natural language processing, computer vision, click-through rate prediction, etc. Proficiency in programming languages such as Python, C++, Go, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, or scikit-learn). Experience with big data technologies, such as Hadoop, Spark, or Hive. Strong analytical and problem-solving skills, with the ability to develop creative solutions to complex problems. Very strong teamwork skills (e.g. communication, collaboration, ownership, empathy, honesty).Preferred Qualifications: PhD in Computer Science, Engineering, Mathematics, or a related field. Have relevant experience in Growth, Search, Advertising, Recommendation and AIGC industries.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $129960 - $194750 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, SMB"
+387,2025-04-06,San Francisco,CA,Stitch Fix,https://stitchfix.com,"Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. 
+
+Stitch Fix is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. 
+
+Through our team of expert stylists and best-in-class AI and recommendation algorithms, we leverage our assortment of exclusive and national brands to meet each client’s individual tastes and needs, making it convenient for our clients to express their personal style without having to spend hours in stores or sifting through endless choices online. 
+
+Stitch Fix, which was founded in 2011, is headquartered in San Francisco.  ","About Stitch Fix, Inc.Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco.About The TeamAt Stitch Fix, our data science teams combine machine learning algorithms with expert human judgment to deliver personalized recommendations, transforming how clients discover their preferred styles. The Foundational Models team focuses on developing the core recommender system, which not only personalizes the client experience but also informs merchandising strategies. The team’s goal is to enhance business outcomes by improving model performance while ensuring optimal latency, uptime, and cost efficiency. Additionally, the team collaborates closely with partner teams to refine feedback mechanisms and playback initiatives.About The RoleIn this role, you will be building the next generation ML systems that transform the way people find what they love. As a Machine Learning Engineer, your focus will be on building, production-izing and scaling of machine learning models, and promoting engineering excellence. You will have the opportunity to work with data scientists and engineers, as well as lead work cross-functionally with Strategy, Product, Merchandising, Marketing, and Engineering partners to build and enhance those capabilities.You're Excited About This Opportunity Because You Will…Bring your engineering excellence to improve how we serve real time recommendations in production at scale.Make a substantial impact on personalization across multiple dimensions by creating the infrastructure that allows us to build the next generation of recommendation systemsCollaborate with data scientists on a variety of sophisticated machine learning algorithmsWork closely with partners in ML Platform Eng, Engineering, Product and Merchandising teamsBe empowered to take initiative and follow your innate curiosityWe’re Excited About You Because…You have experience building, deploying and maintaining high performing, resilient, and scalable real time machine learning systemsYou are familiar with the fundamentals of ML in at least one of these areas: supervised learning, recommendation systems, or deep learning.You are familiar with Python and modern ML frameworks such as PyTorch or TensorFlow.You are a clear communicator who can get buy-in from partners and you are excited to be part of a teamYou are curious, inspired to take on new challenges and calculated risks.You’re happiest as a team player, able to balance time against multiple systems and work streams with defined objectivesWhy you'll love working at Stitch Fix...We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.We cultivate a community of diverse perspectives— all voices are heard and valued.We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. We win as a team, commit to our work, and celebrate grit together because we value strong relationships.We boldly create the future while keeping equity and sustainability at the center of all that we do. We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.We offer comprehensive compensation packages and inclusive health and wellness benefits.Compensation And BenefitsThis role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.Salary Range$153,700—$226,000 USDThis link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policyRecruiting Fraud Alert:To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.You can read more about Recruiting Scam Awareness on our FAQ page here: https://support.stitchfix.com/hc/en-us/articles/1500007169402-Recruiting-Scam-Awareness",Mid-Senior level,Machine Learning Engineer - Foundational Models
+388,2025-04-07,.,.,Evolve Group,http://www.evolvegrp.io,"Uncovering alpha in Quant Talent.
+
+Evolve is a strategic talent partner to several of the highest performing hedge funds, investment banks and asset managers globally. We are their go to force multiplier for Quantitative and trade technology talent. 
+
+By solving one of the hardest challenges of today - Talent -  we create a competitive advantage for our clients. Leveraging best in class tools, tech and outreach we discover and secure some of the best technical minds in the world. 
+
+We provide Search, Multi-hire and TaaS solutions globally. We believe the key to success lies in building great teams hence - People is our strategy. 
+
+
+Specialisms: High-Frequency Trading, Quantitative Development, Quantitative Research, Systematic Trading, Low Latency infrastructure, Algorithmic Trading, Fintech, Hedge Funds, Prop Trading, Electronic Trading, Market Making, Quantitative Development, Quantitative Research, C++, Low-Level, FX, Futures, Fixed Income, Equities, Commodities.","Machine Learning EngineerTech start-upSan Fransisco basedWe’ve partnered with one of the most ambitious and technically rigorous AI research labs in the world. Based in San Francisco, this team is building foundation models entirely from scratch.They are now hiring ML Infrastructure Engineers to design and scale the systems that power large-scale, distributed model training. If you’ve built infrastructure that runs across hundreds of GPUs, thrive under technical complexity, and want to work side-by-side with elite AI researchers — this is the role.Key Responsibilities:Build and scale distributed training systems for large-scale model training across LLMs, vision, and robotics.Set up and run large-scale training across many GPUs using tools like Kubernetes, DeepSpeed, and FSDP.Troubleshoot system issues (GPU errors, network problems) and build tools to monitor and recover from failures.Optimize PyTorch pipelines, sharding, and sampling strategies.Collaborate closely with researchers to support novel model training at scale.Requirements:5–15 years in ML infrastructure, systems, or research engineering roles.Proven experience scaling distributed training for large models.Strong with PyTorch, CUDA, NCCL, Kubernetes.Familiar with setting up distributed training clusters.Deep understanding of PyTorch dataloaders, data sharding, and sampling.Strong communicator with a collaborative, mission-driven mindset.This is a fully in-person role based in San Francisco, it's ideal for engineers excited to build at the edge of what's possible in AI.",Mid-Senior level,Machine Learning Engineer
+389,2025-04-09,,,LogicMatrix,,"Become part of a thriving community of creators. Join the 10,000+ developers building with LogicMatrix AI. hashtag#CodingCommunity hashtag#SoftwareCreators hashtag#LogicMatrixAI","Data Scientist (Python) - Minimum 5 years of experience is required.Candidates must be authorized to work in the United States full-time.Who You Are: You are a mid-level data scientist with 3+ years of experience in Python. You have expertise in machine learning and data analysis.What You Will Do:Develop and implement machine learning models.Analyze large datasets and extract insights.Conduct data exploration and visualization.Collaborate with engineers and product managers.Communicate findings and recommendations.Stay up-to-date with the latest data science trends.Build and maintain data pipelines.Requirements:5+ years of experience in data science.Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn).Experience with machine learning algorithms and techniques.Knowledge of data visualization tools (Matplotlib, Seaborn).Strong analytical and problem-solving skills.Good communication and presentation skills.",Not Applicable,Data Scientist (Python)
+390,2025-03-24,Burbank,California,Zest AI,http://zest.ai,"Since 2009, Zest AI has been pioneering and perfecting AI technology with a mission to broaden access to lending using smarter, more efficient AI. 
+Serving more than $5.6T in managed assets with over 600 active models, Zest AI has been a proven partner to banks, credit unions, and specialty lenders, helping them decrease risk and boost growth opportunities throughout the lending process. 
+
+Zest AI leads the industry, powering thriving lending ecosystems with innovative, intelligent solutions across marketing, underwriting, fraud detection, lending intelligence, and more. With over 50 issued and pending patents across automation, accuracy, performance, and model explainability, this US-based technology-as-a-service company serves its clients from its headquarters in Los Angeles, California, and across the country.","Founded in 2009, Zest AI has been pioneering innovative AI technology with a mission to expand credit access to create opportunities for more Americans to pursue their financial goals. Zest AI is transforming the $17 trillion US consumer credit market by delivering AI technology that helps lenders identify creditworthy borrowers overlooked by traditional methods, while leveling the playing field so financial institutions of all sizes can harness AI to provide better lending experiences.With over 50 issued and pending patents across automation, accuracy, performance, and model explainability, Zest AI is a leader in financial technology, providing financial institutions with AI tools that create a more resilient US financial system and a stronger U.S. economy. With over 600 active AI models, financial institutions rely on Zest AI's comprehensive suite of solutions spanning marketing, underwriting, fraud detection, lending intelligence, and more to make smarter lending decisions while improving profitability. This US-based technology as a service company is headquartered in Los Angeles, California.Machine Learning Engineers at Zest AI build software that enables our customers to quickly create, adopt, and operate machine learning models in production. For example, some work might be focused on scale (automating model builds/deployments), while other work might be addressing a specific capability (better model power, clearer model explainability, more desirable fairer model alternatives).In this role you will: Lead end-to-end development efforts for complex ML/AI-powered solutions—from ideation through deployment—ensuring scalability, reliability, and maintainability.Design experiments/prototypes with cutting-edge techniques aimed at advancing both internal capabilities (e.g., automation pipelines) as well as customer-facing products.Collaborate cross-functionally with product management, sales/engagement management teams, data scientists/researchers—and provide thought leadership on how best-in-class ML technologies can address business challenges.Mentor junior engineers by providing guidance on technical design reviews/code quality standards/best practices.Build sophisticated internal tooling frameworks enabling seamless integration between analytics platforms & operationalized models used across departments/customers.Stay ahead-of-the curve regarding emerging trends within artificial intelligence/machine-learning research fields actively applying them where appropriate toward innovation opportunities aligned w/business objectivesWe are looking for: MS or PhD in a quantitative field (Computer Science, Engineering, Physics, etc.).2+ years of professional hands-on experience, with strong fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required.Familiar with ML/AI frameworks (Pandas, XGBoost, Scikit-learn, etc.), and modular/modern OOP software design practices.Good development practices/ability regarding memory, disk I/O, and CPU/GPU management.History of research publications and/or implementations of state of the art techniques - preferably viewable through open source channels (arXiv, GitHub, etc.).Passionate about ML/AI and how it can improve the world.Perks and benefits:All Zestys experience:The opportunity to join a mission-focused companyPeople – the best part of ZestRobust medical, dental and vision insurance plansAnnual bonus plan participation401(k) with generous matchEmployee Awards and Recognition11 company holidaysWinter break (office closed between Christmas and New Year's Day)Unlimited vacation timeEmployee Resource GroupsGenerous family leave policy (12 week maternity leave / 6 week paternity leave)Phone, internet, wellness, and professional development allowancesEmployee gatherings, including Town Hall meetingsAdditionally, our Burbank, CA area, hybrid model Zestys enjoy:Beautiful, modern, dog-friendly office with lounge areas, video games, and gigantic jigsaw puzzlesDaily catered lunches from LA’s best restaurants and a fully stocked kitchenComplimentary manicures, pedicures, and mindfulness sessionsCompany happy hours, social events, outings, and much more!About Zest AI:Creating a diverse and inclusive culture where all are welcomed, valued, and empowered to achieve our full potential is important to who we are and where we’re headed in the future. We know that unique backgrounds, experiences, and perspectives help us think bigger, spark innovation, and succeed together. Zest is committed to diversity, equity, and inclusion and encourages professionals from underrepresented groups in technology and financial services to apply.Our core values are Communication, Collaboration, Bias for Action, Client-centricity, and Heart. Learn more at Zest.ai, follow us on LinkedIn (linkedin.com/company/zest-ai/) or Twitter @Zest_AI, or check out our Insights blog (https://www.zest.ai/cms/insights).",Mid-Senior level,Senior Machine Learning Engineer
+391,2025-03-24,San Francisco,California,Latent,https://latenthealth.com,"At Latent, we're building medical language models to tackle the trillions of operational overhead weighing down healthcare. Our flagship product streamlines insurance authorization by analyzing EHR records and surfacing the most relevant data.
+
+We work with some of the largest health systems in the US.","Latent is working on unsolved problems concerning the robust and reliable integration of Medical Intelligence. Health systems across the US trust our multi-modal search platform to answer highly sensitive questions over patient data. Additionally, we offer next-generation question answering, pushing the boundaries of SOTA in medical QA. By analyzing EHR records, our flagship product surfaces the most relevant data, reducing operational overhead in healthcare.You Might Work On These Types Of ProblemsFine-tuning large OSS models with novel QA techniquesExtractive highlighting over patient notesMulti-modal clinical embeddingsTake a model from inception → training → validation → serving at scale and speed!This role is full-time and onsite in our SF office.QualificationsMasters or PhD in Computer Science OR an adjacent STEM degree OR equivalent experience with research & deploying language modelsExperience with Python and ML frameworks like PyTorch and TensorflowExperience fine-tuning LLMsExperience taking ML systems from training to productionBonus: Experience working in small, fast-paced environments and contributions to ML research papersWhat We ValueA demonstrated history of excellence in your personal and/or professional endeavorsRobust experience delivering impactful software projects that involve engineering skills across the stackCollaboration and excellent communication skills driven by logical coherence, openness, and curiosityA proactive approach to identifying & solving problems with minimal oversightAn extremely strong work ethic and a commitment to quality and detailWhy You Should Join UsStrong backing from investors like General Catalyst, Conviction and YCBest-in-class technical team that is deeply mission alignedHave a huge impact on a small team with lots of green space for growthWe're contracted with the nation’s top hospital systemsCompetitive salary and equity compensationExcellent benefits and versatile health, dental, and vision coverage plansPaid parental leaveUnlimited PTO",Entry level,Machine Learning Engineer
+392,2025-04-09,Santiago,Chile,NotCo,https://tech.notco.com/,"We are a Food-Tech that develop AI technology to create elevated food with unique tastes, functional &/or nutritional benefits.  We also leverage our technology for external CPG clients to create market-winning product innovation, formulations and flavors. 
+","Hi! This is NotCo.We are a group of people united by a very strong purpose.We want you to get to know us, and Giuseppe, our very own artificial intelligence.We love good food, but above all, we love the planet, and that's why, to protect it, we reinvent the food industry, one delicious bite at a time, elevating what we eat, through our technology and based on plants.Our recipe has three super important components: science, technology and of course, disruptive talents who work daily to create a better future.At NotCo we are not and do not seek to be the perfect company, but rather the right one. We've built a new AI that transforms the way people and companies create food.We are currently looking for a Machine Learning Engineer VI. This position is located in the San Francisco area.As a Machine Learning Engineer, you will be part of the NotCo AI group. You will work with a multifaceted team of ML & Software Engineers, UI/UX Designers, Experimental Chefs, and Food Scientists to revolutionize the way plant-based and sustainable foods are created. Our tech platform utilizes predictive & generative models, optimization algorithms, as well as in-house data warehousing infrastructure that allows us to relate nutritional, physicochemical, and molecular data to find new discoveries for novel plant-based products.Role & Responsibilities:Research, develop, and deploy machine learning systems onto the Giuseppe platform for food science & technology applications.Brainstorm with Experimental Chefs & Food Scientists to find data and ML-driven solutions for problems arising with new product development. We develop products ranging from plant-based milks to plant-based meats, so there are always engaging challenges to solve.Lead new machine learning initiatives end-to-end, from proposal to deployment. This requires having strong research, project management & communications skills and the potential to lead a small team.Analyze and debug issues with currently deployed models & suggest improvements to data, algorithms, or workflows.Identify new datasets that could help improve the performance of current algorithms.Read & implement recent ML papers that are relevant to our scope of work (e.g. implement a self-supervised algorithm proposed in a 2020 ICML paper).Dive into the domain of food science: be interested in learning about proteins, volatile molecules & the food industry in general.Contribute in general to department and organization projects.Requirements:BS/MS in Computer Science or a related field with a focus on machine learningML-focused Bioengineers or Analytical Chemistry backgrounds are also urged to apply5+ years of working experience in an Applied Machine Learning groupStrong data science analytical skills with a traditional data science and Deep Learning stack (Python, PyTorch, Pandas, NumPy, SciPy, Scikit-learn, Jupyter, Matplotlib, Hugging Face, LangChain, Polars, etc.)Strong background in software engineering, unit & functional testing (Python, unittest, nose)Prior experience with implementing & training Deep Learning models; prior experience with training models on cloud infrastructure on GPU/TPUFamiliarity with model packaging & deployment (Docke, Kubernetes, Google Cloud Platform)In-depth knowledge in one or several of the following areas preferred: Representational Learning, Generative Models, Transformers, bandit algorithms & convex optimizersAuthorization to work in the U.S. required.NotCo is committed to fair and equitable compensation practices. The pay range for this role is $150,000 - $200,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.If you share our vision and are eager to contribute to a transformative journey, we invite you to apply. Join us and make a difference!The million-dollar question: Are you hungry to change the world? Because there are plenty of reasons to make the decision and say: WHY NOT!Today you can start making a difference for the planet, without changing everything you love.We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.",Mid-Senior level,Machine Learning Engineer VI
+393,2025-03-11,Honolulu,Hawaii,AEP Hawaii,http://www.aephawaii.com,"AEP Hawaii specializes in building elite teams of executive, technology, finance & cleared professionals in Hawaii and the West Coast.
+
+Our goal is to build a better future for Hawaii's economy by creating higher paying jobs for our talent community.
+
+We are known for bringing Kama'aina back home to Hawaii, and have proven success partnering with start-ups, enterprise organizations, federal contractors, and state agencies.
+
+AEP serves as the bridge for the next generation in the Hawaii market. 
+
+Executive & Retained Search
+Cleared Staffing & Subcontracting
+Consulting Solutions
+Project & Program Management
+Diversity Hiring
+
+AEP is a certified Minority Business Enterprise (MBE) 
+
+NAICS 561312
+
+Reach out directly at 808-349-1611 or talent@aephawaii.com to find talent or explore careers.","AEP Hawaii is hiring a remote Senior Machine Learning Engineer to join our early-stage SaaS startup client. This is a critical role focusing on building machine learning solutions for customer retention within a SaaS environment. 180-200K base salary + equity Required Experience7+ years of professional experience developing production ML systems, including model deployment, monitoring, and maintenance in production environments.Strong background in statistical analysis and mathematical modelingAdvanced proficiency in R, including expertise with packages such as data.table, glmnet, xgboost, randomForest, ggplot, and other advanced data manipulation and modeling libraries.Experience with Python ML ecosystem (pandas, NumPy, SciPy, scikit-learn).Deep understanding of, and experience with software engineering best practices (version control, CI/CD, testing)Proficiency with cloud platforms (AWS, GCP)ResponsibilitiesArchitect, develop, and optimize advanced machine learning solutions within our frameworkLead the unification of disparate ML components into a cohesive ecosystemDesign and implement scalable ML pipelines that meet production requirementsDevelop sophisticated statistical models using R for data analysis and predictive modelingCollaborate with cross-functional teams to understand business requirements and translate them into technical solutionsEducationPh.D. in Computer Science, Statistics, Applied Mathematics, or related field requiredExceptional candidates with a Master's degree and outstanding experience will be consideredPreferred QualificationsContributions to R packages or the R ecosystemExperience with systems integration and API designHistory of technical leadership in previous rolesIntangiblesDriven to deliver results; mature understanding of tradeoffs necessary to meet deadlines.Exceptional problem-solving abilities and attention to detail.Excellent written and verbal communication skills, with the ability to explain complex concepts to technical and non-technical stakeholdersSelf-motivated with the discipline to work effectively in a remote environmentComfort with ambiguity; ability to make decisions with incomplete information",Mid-Senior level,Machine Learning Engineer
+394,2025-04-03,New York,,Hinge,http://hinge.co,"Hinge is the dating app designed to be deleted. In today’s digital world, singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and going on dates. Hinge is on a mission to change that by designing the most effective app experience. We want to create a less lonely world by inspiring intimate, in-person connections. Relationships are at the core of everything we do. And not just the romantic kind. We can't accomplish really hard things alone - so we make great relationships the foundation of our teamwork. 
+
+We believe these three core values are what it takes to build those great relationships: Authenticity, we share - never hide - our words, actions, and intentions. Courage, breakthroughs require a willingness to take risks and embrace lofty goals and tough challenges. Empathy, we're all humans first. So we deeply consider the perspectives of others, listen openly, and speak with care. 
+
+We're mission-driven. While most apps think about boosting sessions and time on app, we think strategically about meaningful end results (dates and relationships). 
+
+We're culture-first. We believe in great people over process.  Decisions are pushed to the front lines, with feedback and coaching provided by our leaders.","Hinge is the dating app designed to be deletedIn today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.About the Role: The Dating Outcomes group is responsible for ensuring people see their most compatible matches, helping them better present themselves, and even starting a conversation when they match with someone. In short, we help people go on dates!We are hiring ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data. You can expect to work on recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users' experience. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge.ResponsibilitiesOwn and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelinesContribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models)Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementallyCollaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment processMentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scalePerform other job-related duties as assignedWhat We're Looking ForStrong programming skills: Proficiency in languages like Python, Java or C++System design & architecture: Proven track record of training and deploying large scale ML models specially DNNs. Good understanding of distributed computing for learning and inferenceCloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plusML knowledge: Deep understanding of DNN architectures, track record of building, debugging and fine tuning models. Familiarity with PyTorch, TF, knowledge distillation, recommender systems are a plusDev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Kubenetes and TerraformData engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and AirflowCollaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.Strong written communication: The ability to communicate complex ideas and technical knowledge through documentationSoftware leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes3+ years of experience, depending on education, as an MLE2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes1+ year of experience leading projects with at least 1 other team member through completion2+ years of experience for designing and developing online and production grade ML systemsA degree in computer science, engineering, or a related fieldAs a member of our team, you’ll enjoy:401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.Professional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible.Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community.At Hinge, our core values are…Authenticity: We share, never hide, our words, actions and intentions.Courage: We embrace lofty goals and tough challenges.Empathy: We deeply consider the perspective of others.Diversity inspires innovationHinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge",Not Applicable,Machine Learning Engineer
+395,2025-03-21,New York,,Baselayer,Baselayer.com,"Baselayer empowers over 2,000 financial institutions and government agencies to trust the small and medium-sized businesses they serve. 
+
+We use proprietary machine learning to search government records, the web, and private databases to answer questions about Compliance, Risk, or Fraud about any business in the United States.
+
+Our solution suite includes tools for identity verification (Know Your Business), enhanced due diligence, fraud prevention, risk profiling, lien filing, and portfolio monitoring. Our platform also offers unique credit stacking capabilities and an advanced repeat fraud prevention system.
+
+Baselayer is integrated into companies with over 30 million accounts, rating and verifying real-time applications. 
+
+Baselayer.com","About Baselayer: With experience across far-ranging banks, Fortune 500 tech co’s, fintech unicorns 🦄, and AI experts, Baselayer is built by financial institutions, for financial institutions. Started in 2023 by experienced founders Jonathan Awad and Timothy Hyde, Baselayer has raised $20 Million and hit $2 Million in ARR faster than any other identity company in history. Today more than 2,000 Financial Institutions and Government Agency customers later, Baselayer is revolutionizing the way businesses approach fraud prevention and compliance. 🏆Check out their press release here → https://baselayerhq.com/press/About You: You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win—you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions.You have 1-3 years of experience in machine learning development, working with Python and building ML modelsYou're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systemsYou have a strong foundation in AI/ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniquesYou prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYBYou have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performanceYou thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstractionProblem-solver who navigates the unknown confidentlyProactive self-starter who thrives in dynamic settingsIncredibly intelligent and clever. You take pride in your modelsHighly feedback-oriented. We believe in radical candor and using feedback to get to the next levelResponsibilitiesModel Development & Integration: Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM spaceML System Design: Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use casesData Processing & Feature Engineering: Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional dataAdvanced ML Techniques: Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity spaceML Infrastructure: Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued innovationModel Governance & Compliance: Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulationsPerformance Optimization: Implement optimizations for model inference and training, ensuring ML services can efficiently process identity data while maintaining reliabilityExperimentation & Evaluation: Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use casesBenefitsHybrid in SF. In office 3 days/weekFlexible PTOHealthcare, 401KSmart, genuine, ambitious teamStart date: JuneSalary Range: $150k – $225k + Equity - 0.05% – 0.25%",Entry level,Machine Learning Engineer
+396,2024-12-03,Menlo Park,California,Pathway,https://www.pathway.com,"Pathway is building live AI systems that think and learn in real-time as humans do. Underpinned by the fastest data processing engine on the market and an AI framework, it lays the foundations for an organization’s full and evolving AI transformation journey without the need for re-platforming. Pathway is trusted by the likes of NATO, La Poste and Formula 1 racing teams. 
+
+Headed by co-founder & CEO, Zuzanna Stamirowska, the team’s leading AI experts include co-founder & CTO Jan Chorowski, co-author of the Nobel Prize winner, Geoff Hinton. Pathway is backed by Business Angel Lukasz Kaiser, who co-authored Transformers (the “T” in ChatGPT) and is the key researcher behind GPT o1 from OpenAI.","About PathwayPathway is an enabler for Live AI, allowing organizations to run contextualized ML models connected to ever-changing enterprise data. In addition to being an infrastructure provider delivering an AI framework, we are working to advance the state-of-the-art.This is an R&D position in attention-based models. Pathway is VC-funded, with some amazing BAs (such as Lukasz Kaiser, co-inventer of Transformers). Pathway's CTO has co-authored papers with Goeff Hinton and Yoshua Bengio. We have just raised a $10M+ seed, with exciting developments ahead. The management team includes growth leaders who have scaled companies with multiple exits, and who have built online communities reaching millions of users.Out client portfolio is focused around mobility, IoT data, logs and transactions, and also includes larger actors such as NATO and national postal services. We have a vibrant community centered around our developer frameworks, with almost 10,000 stars on GitHub.Our offices are in Menlo Park, CA, as well as Paris, France and Wroclaw, Poland.The OpportunityWe are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research.This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum.You Willperform (distributed) model traininghelp improve/adapt model architectures based on experiment resultsdesign new tasks and experimentsoptionally: oversee activities of team members involved in data preparation. The results of your work will play a crucial role in the success of the project. RequirementsCover letterIt's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that.You are expected to meet at least one of the following criteria:You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU'sYou have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA)You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School. You Are A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply)Interested in improving foundational architectures and creating new benchmarksExperienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow) Have a good understanding of GPU architecture, memory design, and communicationHave a good understanding of graph algorithmsHave some familiarity with model monitoring, git, build systems, and CI/CD Respectful of others Fluent in English Bonus PointsKnowledge of approaches used in distributed trainingFamiliarity with TritonSuccessful track-record in algorithms & data science contestsShowing a code portfolioWhy You Should ApplyJoin an intellectually stimulating work environment Be a pioneer: you get to work with a new type of ""Live AI"" challenges around long sequences and changing dataBe part of one of an early-stage AI startup that believes in impactful research and foundational changesBenefits Type of contract: Full-time, permanent Preferable joining date: January 2025. The positions are open until filled - please apply immediately Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan Location: Remote work. Possibility to work or meet with other team members in one of our offices: Menlo Park, CA, Paris, France, or Wroclaw, Poland. As a general rule, permanent residence will be required in the EU, UK, US, or CanadaIf you meet our broad requirements but are missing some experience, don't hesitate to reach out to us.",Mid-Senior level,Machine Learning Researcher / Engineer (Foundational Models)
+397,2025-03-22,New York,NY,S&P Global,http://www.spglobal.com,"S&P Global provides governments, businesses, and individuals with market data, expertise, and technology solutions for confident decision-making. Our services span from global energy solutions to sustainable finance solutions. From helping our customers perform investment analysis to guiding them through sustainability and energy transition across supply chains, our solutions help unlock new opportunities and solve challenges.
+ 
+We are widely sought after by many of the world’s leading organizations to provide credit ratings, competitive benchmarking and data driven analytics in global capital markets, commodity, and automotive markets. Our divisions include S&P Global Market Intelligence, S&P Global Ratings, S&P Global Commodity Insights, S&P Global Mobility, S&P Dow Jones Indices, and the renowned S&P 500 index. Additionally, our S&P Global Sustainable1 brings sustainability benchmarking, analytics, and evaluations together, to help customers achieve their sustainability goals.
+ 
+See the latest research & insights at www.spglobal.com","Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and more.Kensho is looking for ML Engineer interns to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Extract. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production.Are you looking to leverage your teammates' diverse perspectives to solve hard problems? If so, we would love to help you excel here at Kensho. You will be working on a team with experienced engineers and have an opportunity to learn and grow. We take pride in our team-based, tightly-knit startup Kenshin community that provides our employees with a collaborative, communicative environment that allows us to tackle the biggest challenges in data. In addition, as an intern you will have the opportunity to attend technical and non-technical discussions as well as company wide social events.We value in-person collaboration, therefore interns are required to work out of the Cambridge HQ or our New York City office!Technologies & Tools We UseAgentic systems: Agentic Orchestration, Information Retrieval, LLM code generation, LLM tool utilization, Multi-modal Embeddings, Multi-turn Conversationality, Textual RAG systemsCore ML/AI: DGL, GNNs, HuggingFace, LightGBM, NVIDIA NeMo, PyTorch, SKLearn, Transformers, XGBoostData Exploration and Visualization: Jupyter, Matplotlib, Pandas, Weights & BiasesData Management and Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, Qdrant, S3, SQLiteDeployment & MLOps: Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, Kubernetes, Ray, vLLM, WhyLabsWhat You’ll DoAssist in conducting original work on large proprietary unstructured data and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value.Design, build, and maintain scalable production-ready ML systemsParticipate in the ML model lifecycle, from problem framing to training, deployment, and monitoring in productionPartner with our ML Operations team to deliver solutions for automating the ML model lifecycle, from technical design to implementationWork in a cross-functional team of ML Engineers, Product Managers, Designers, Backend & Frontend Engineers who are passionate about delivering exceptional productsWhat We Look ForOutstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine LearningExperience with advanced machine learning methodsStatistical knowledge, intuition, and experience modeling real dataExpertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)Demonstrated effective coding, documentation, and communication habitsStrong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.Job ID: 307256Posted On: 2024-12-20Location: Cambridge, Massachusetts, United States",Not Applicable,Machine Learning Engineer - Summer Intern 2025
+398,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The App Ads and Gaming team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering application ads on TikTok. Our mission is to push the boundaries of large-scale ads delivery systems and lead the innovations of TikTok's personalized online advertising. Hence, you'll have a chance to get deeply involved in our large-scale distributed systems and state-of-the-art machine-learning algorithms. As a Machine Learning Engineer on the App Ads & Gaming team, you will make efforts to develop novel machine learning solutions for ranking, build scalable foundations, and launch various products that maximize the efficiency of deep funnel app ads delivery.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Key Responsibilities Work on developing a large-scale App Ads delivery system to improve accuracy. Explore multi-stage ranking models, conduct data analysis, and develop feature engineering. Participate in the innovations of core App Ads systems using machine learning models, ranking algorithms, etc. Partner with product managers, data scientists, and product strategy & operation team to launch new App Ads, products, and features.QualificationsMinimum Qualifications: BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages, including but not limited to Go, C/C++, and Python. Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics. Curiosity toward new technologies and entrepreneurship.Preferred Qualification Experience with recommender system projects. Experience with applying machine learning methods for ranking.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $112000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (App Ads and Gaming Team) - 2025 Start (BS/MS)
+399,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate Data-Search - TikTok.US - San Jose) - 2025 Start (BS/MS)
+400,2025-03-21,San Francisco,California,Notion,https://notion.com,"Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes? With Notion, they're all in one place, and totally customizable to meet the needs of any workflow. It's the all-in-one workspace for you, your team, and your whole company. 
+
+We humans are toolmakers by nature, but most of us can't build or modify the software we use every day — arguably our most powerful tool. Our team at Notion is on a mission to make it possible for everyone to shape the tools that shape their lives.","About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.About The RoleYou’ll join a team of talented engineers who will design and own foundational data capabilities that are key to the company’s business and product. Notion’s data platform and infrastructure are vital to both empowering every team at Notion to make decisions using data and experimentation, and enabling our product features, like search, user notifications, workspace analytics and Notion AI. We are hiring engineers across multiple levels.What You'll AchieveYou'll work cross-functionally with partners from the Data Science, Data Engineering, AI, Product, Go-to-Market, Legal and Finance organizations to deliver short- and long-term impactYou’ll help in influencing / executing the roadmap for data infrastructure and systems to power high volume product features using Notion’s data.You'll play a pivotal role in the development of tools and infrastructure that democratize data access and enable analytics capabilities across the organizationYou'll determine the best ways to handle Notion's unique data model and usage patterns to derive insights and bring intelligence to product features like search and discovery.Skills You'll Need To BringYou have experience with big data ingestion, compute, and storage systems based on Spark, Kafka, Flink, and data lake and data warehouse technologies.You have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house).You've experienced the challenges of scaling and re-architecting data platforms and infrastructure through orders of magnitude of growth and scaling data volume.Nice To HavesYou've built out data infrastructure from, or nearly from, scratch at a fast-growing startup.You've led a Data Platform / Infrastructure / Data Engineering Team.You have experience building MLOps and ML serving infrastructure.Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $220,000 - $298,000 per year.By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.",Not Applicable,"Software Engineer, Data Platform"
+401,2025-03-24,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2935863",Not Applicable,"Machine Learning Engineer, AGIF | Finetuning"
+402,2024-11-26,,,Hugging Face,https://huggingface.co,The AI community building the future.,"At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the RoleHugging Face maintains a large collection of open source machine learning libraries, including transformers, diffusers, and datasets, just to name a few. However, these are all implemented in Python, meaning they aren't as easily accessible to JavaScript/TypeScript developers. So, in order to grow the Hugging Face ecosystem, we decided to build projects like transformers.js and huggingface.js with the primary goal of bridging the gap between web development and machine learning. WebML (Web Machine Learning) unlocks a range of new possibilities for building web applications by enabling models to run locally in the browser. Combining on-device machine learning with the plethora of APIs that browsers provide, empowers developers to create low-latency, interactive, and privacy-focused applications that can scale and reach users without them needing to install anything! This internship operates at the intersection of software engineering, machine learning, and open-source community building. The focus will be to expand the Hugging Face ecosystem to web developers through the creation and maintenance of easy-to-use JS/TS machine learning libraries. By the end of the internship, the candidate will have touched on many aspects of web machine learning, including: converting and optimizing models for in-browser inference (ONNX, quantization), enabling models to run in-browser at near-native speeds (WebGPU, WebNN, WASM), building demo applications to showcase new features, and fostering a collaborative open-source community.About YouIf you love open-source but also have an eye for art and creativity, are passionate about making complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application!If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact.More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.",Internship,"Machine Learning Engineer Internship, WebML - US Remote"
+403,2025-04-09,San Francisco,California,Nextdoor,https://nextdoor.com,"Nextdoor is where you connect to the neighborhoods that matter to you so you can thrive. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services.
+
+We believe connecting with others is a universal human need. That truth, and the reality that neighborhoods are among the most important communities in our lives, have been guiding principles for Nextdoor since the beginning.
+
+Today, neighbors rely on Nextdoor in more than 340,000 neighborhoods across 11 countries. In the U.S., 1 in 3 households uses the network.
+
+Nextdoor is based in San Francisco. For additional information and images: nextdoor.com/newsroom.
+
+Nextdoor is free, and it's easy to sign up. Get started at https://nextdoor.com.
+
+For media inquiries, email us at press@nextdoor.com.
+
+For customer support, reach us at http://nextdoor.com/support.","#TeamNextdoorNextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.Meet Your Future NeighborsAt Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live.At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid and remote employment experience, providing a flexible experience for our valued employees.The Impact You’ll MakeYou will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platformCollect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platformAnalyze datasets and and use important features to build low-latency models for decisions that need to be made quicklyDeploy ML models into production environments and integrate them into the productRun and analyze live user-facing experiments to iterate on model quality by measuring the impact on business metricsCollaborate with other engineers and data scientists to create optimal experiences on the platformParticipate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercisesBuild in-person relationships with team members and contribute to Nextdoor’s company cultureWhat You’ll Bring To The TeamB.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field1 - 3 years of industry experience in applying machine learning at scale Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is requiredExperience building ML models for consumer-facing productsProven engineering skills, with experience in writing and maintaining high-quality production codeAbility to work with and analyze large amounts of dataAbility to succeed in a dynamic startup environmentRewardsCompensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.The starting salary for this role is expected to range from $195,000 to $251,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.",Mid-Senior level,Machine Learning Engineer - Product
+404,2025-03-24,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2935863",Not Applicable,"Machine Learning Engineer, AGIF | Finetuning"
+405,2025-03-13,Boston,MA,Lendbuzz,http://www.lendbuzz.com,"Lendbuzz is an AI-based auto finance platform that helps consumers obtain fair access to credit when purchasing a car. Powered by alternative data and machine-learning algorithms, Lendbuzz can assess the creditworthiness of consumers whose credit scores range from good to non-existent—a group totalling some 100 million people—yet despite their massive numbers are underserved by traditional loan processes. Lendbuzz supports the success of their dealership partners through consumer loans that help those dealers reach a more diversified client base, together with competitive floorplanning options that help them grow their businesses. Lendbuzz is headquartered in Boston, Massachusetts and was founded in 2015.
+
+All loans are made by Lendbuzz Funding, LLC.
+NMLS ID #1636296","At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.We’re looking for a Machine Learning Engineer who excels in building and maintaining robust systems that deliver real value to users. You’re skilled at turning functional logic into scalable code and integrating systems across teams. You embrace continuous learning, stay updated on new technologies, and drive process improvements.At Lendbuzz, you’ll work closely with infrastructure teams to design and deploy end-to-end pipelines, collaborate on ML model integration, and ensure high-quality releases. You take pride in your craft and push the team to maintain high standards in both development and testing.Key Responsibilities:Build machine learning and deep learning models based on financial and other modalities like images and textDevise new research methods to solve bleeding edge problems and get a chance to work on publishable outcomeConduct in-depth analysis of machine learning models and pioneer research methodologies to address cutting-edge challengesCollaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systemsDesign and develop robust, ML pipelines and systemsImplement end-to-end solutions, including architecture design, business logic, and deploymentDrive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releasesStay updated with advancements in machine learning and related technologies to continuously improve our solutionsRequirements:Masters (M.S.) with 3+ years of full time experience in industryStrong knowledge in Computer Vision, Deep Learning, Linear Algebra, Probability, Data Structures and AlgorithmsStrong knowledge of numpy, scipy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning is a mustStrong grasp of CS and ML foundation and core conceptsExperience designing and implementing APIsIntimate familiarity with Python, PostgreSQL, FLASK, REST and LinuxAble to convert functional logic into code is a mustFluency on the Linux command-line, including utilities (grep, find, etc.) and use of gitWe believe:Diversity is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.Compassion is a strength. We care about our customers and look to build long-term relationships with them.Simplicity is a key feature. We work hard to make our forms and processes as painless and intuitive as possible.Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions.Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity.If you believe these things too then we would love to hear from you!",Not Applicable,Machine Learning Engineer (Boston)
+406,2025-04-09,Seattle,WA,Weyerhaeuser,https://www.weyerhaeuser.com,"We manage forests and manufacture products that make the world a better place. We’re serious about safety, driven to achieve excellence, and proud of what we do. With multiple business lines in locations around the world, we offer a range of exciting careers opportunities for smart, talented people who are passionate about making a difference.
+
+Be sure to follow us on Twitter and Instagram: @Weyerhaeuser","At Weyerhaeuser, we are the world’s premier timber, land, and forest products company.Sustainability is the founding concept of our business and our values drive every decision to ensure we continue to lead the forestry industry in sustainability practices.And we know about sustainability – we led it in the forestry industry when we planted our first seedling by hand in 1938.We recognize that our success is dependent on the success of our people.For over 125 years, our Weyerhaeuser team has been making a difference in the world – from the seedlings we plant, to the forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride.That’s the Weyerhaeuser way.Grasp the opportunity to apply data science to the physical world of manufacturing!We are looking for a data scientist, with previous experience in manufacturing, who is passionate about opportunities to improve the manufacturing process, including increased reliability and product quality for our Wood Products manufacturing mills.We have a large manufacturing presence in North America with lumber, OSB, plywood, and engineered lumber products mills in Canada and the United States.Our Weyerhaeuser brand and scale of operations make us a major player in the wood products business.You would be partnering with our manufacturing mills to identify, analyze, and solve complex problems related to production quality, equipment reliability, and preventative maintenance.Your work would directly impact operational efficiency, improved product quality, and mill uptime.You have a high attention to detail, but are good at seeing the big picture, and aren’t afraid to think outside the box, and champion your ideas. You have experience articulating opportunity, as well as creating and successfully managing projects. You are effective at communicating timely and relevant information to business leaders and internal partners.The position is part of our central Data & Analytics team and will be located in Seattle, WA.Key FunctionsCollaborate with manufacturing engineers, maintenance teams, and operations leaders to understand challenges and opportunities of our manufacturing processes.Analyze manufacturing process data, sensor/IoT data, and quality metrics to uncover actionable insights.Design and develop predictive models and identify the appropriate machine learning algorithms to forecast equipment failures, optimize maintenance schedules, and improve the quality of our wood products. Design and implement statistical process control methods and anomaly detection techniques to proactively address quality issues in the manufacturing process.Implement and optimize machine learning models, including retraining and deployment, to ensure continuous improvement and accuracy. Evaluated model effectiveness through rigorous testing and performance metrics.Present compelling, validated stories to all levels of our organization, including peers, senior management, and internal customers that communicate opportunities and drive strategic business initiatives.Create innovative insights and develop/maintain impactful reports, dashboards, and model outputs.JobInformation TechnologyPrimary LocationUSA-WA-SeattleScheduleFull-timeJob LevelIndividual ContributorJob TypeExperiencedShiftDay (1st) Strong proficiency in programming environment and languages, specifically Python (e.g pandas, scikit-learn, etc) and R.  Strong understanding of machine learning techniques, statistical analysis, and time series forecasting.  Experience utilizing data visualization tools such as Power BI  Experience working with large datasets of manufacturing, quality, and sensor/IoT data  Excellent problem-solving skills and ability to translate business problems into data science solutions.  Cloud computing experience such as AWS, Azure, or Snowflake  Communicate findings clearly to both technical and non-technical stakeholders, providing recommendations that drive measurable improvements. Required Master's or Ph.D. in Data Science, Engineering, Physics, Computer Science, Machine Learning or related areas.  3+ years of experience solving problems through statistical modeling, applied machine learning and data analysis. What We OfferCompensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $106,900-$160,400 based on your level of skills, qualifications, and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 15% of base pay. Potential plan funding may range from zero to two times that target.Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. For those eligible, we offer a pre-tax Health Savings Account option which includes a company contribution based on your participation. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career.Retirement: Employees are able to enroll in our company’s 401(k) plan, which includes a paid company match on a per pay period basis. In addition, the company makes a retirement savings contribution of 5% of eligible earnings into the 401(k) Plan.Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours.About WeyerhaeuserWe sustainably manage forests and manufacture products that make the world a better place. We’re serious about safety, driven to achieve excellence, and proud of what we do. With multiple business lines in locations across North America, we offer a range of exciting career opportunities for smart, talented people who are passionate about making a difference.We know you have a choice in your career. We want you to choose us.Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: wy.com/applicantsWeyerhaeuser is an equal opportunity employer. Inclusion is one of our five corevalues, and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.",Entry level,Data Scientist - Manufacturing
+407,2025-04-04,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace of consumers, merchants, and dashers. The Forecasting Platform provides a unique opportunity to have a broad impact on the business ensuring we can quickly respond to a rapidly changing operational environment. The team supports projects across all of our major pillars (e.g. supply / demand, auto-scaling infrastructure, support optimization) as well as the development of an internal decision platform for time series.About The RoleAs a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers.You’re Excited About This Opportunity Because You Will…Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotionsOwn the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilitiesResearch new tools within the Forecasting space (e.g. TimeGPT, LLM extensions)You can find out more on our ML blog post hereWe’re Excited About You Because…High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double downYou’re an owner — driven, focused, and quick to take ownership of your workHumble — you’re willing to jump in and you’re open to feedbackAdaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth settingDesire for impact — ready to take on a lot of responsibility and work collaboratively with your teamExperienceM.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in productionDemonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etcDeep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting Experience of shipping production-grade ML models and optimization systemsNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,"Machine Learning Engineer, Forecast Platform"
+408,2025-03-09,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+409,2025-04-02,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We're looking for an experienced ML Engineer to help us develop and improve the models that power DoorDash's three- sided marketplace of consumers, merchants, and dashers. Team is responsible for building a leading industry level NLP/LLM system to empower all communication for Doordash Journey, also building recommendation/personalization to provide best experience.About The RoleAs a Machine Learning Engineer you will have the opportunity to identify and prioritize machine learning investments across our conversation AI & personalization ecosystem. You will leverage our robust data and infrastructure to develop natural language processing and personalization models that impact millions of users across our three audiences. You will partner with an engineering lead and product manager to set the strategy that moves the business metrics which help us grow our business.You’re Excited About This Opportunity Because You Will…Lead the development of DoorDash's support chatbot & LLM system: Applying LLM, active learning, semi- supervised learning, weak label generation, documentation embedding/retrieval and data augmentation strategies to improve the consumer, dasher, and merchant support experienceDrive the personalization of DoorDash's issue prediction & resolution policies: Using both personalization, recommendation and dynamic pricing modeling technologies to serve millions of customers on personalized prediction resolution for any issues they might encounter during their journeySpearhead the creation of next-generation LLM AI Agent tools: Building Co-pilot system to evolve how millions of users interact with our support systemApply stratification, variance reduction, and other advanced experiment design techniques to create A/B tests to efficiently measure the impact of your innovations while minimizing risk to the broader systemYou can find out more on our ML blog hereWe’re Excited About You Because You Have…3+ years of industry experience developing optimization models with business impact, including 1+ year(s) of industry experience serving in a tech lead role M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fieldYou must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New YorkDeep understanding of natural language processing techniques and procedures for efficiently acquiring and validating human-labeled dataGood experience in overall big data analysis, system, backed integration with new ML system/solution. Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inferenceFamiliarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLibExperience productionizing and A/B testing different machine learning modelsFamiliarity with advanced causal inferences techniques and contextual bandit algorithms preferredNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - Conversation AI
+410,2025-03-10,Toronto,Ontario,Ideogram,https://ideogram.ai/,"Ideogram is defining the future of design in the age of AI. Turn your ideas into stunning graphic designs, in a matter of seconds. It's pronounced eye-dee-oh-gram.","Ideogram’s mission is to help people become more creative. Our thesis is that everyone has an innate desire to create. We are developing state-of-the-art AI tools that will make creative expression more accessible and efficient. We are pushing the limits of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a small presence in NYC. Read our Canvas and Ideogram 2.0 blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About The RoleAs a Machine Learning Engineer, you will build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.What We're Looking For2+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlowExperience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratchTrack record in machine learning innovation and familiarity with Deep Learning and advanced Machine LearningEnd-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AIAbility to debug machine learning models to iteratively improve model quality and performanceNice to have: Familiarity with kubernetes and dockerOptional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel codeFounding teamOur founding team consists of world-renowned AI experts including Mohammad Norouzi, Jonathan Ho, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, UC Berkeley, CMU, and the University of Toronto. Our fundamental work in AI includes: Imagen: Google’s text-to-image system, Imagen Video for video synthesis, Denoising Diffusion Models, which is the foundation of the recent generative media transformation.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.",Mid-Senior level,Machine Learning Engineer
+411,2025-04-09,Boston,Massachusetts,DataRobot,https://www.datarobot.com,DataRobot delivers the industry-leading AI applications and platform that maximize impact and minimize risk for your business.,"Job Description:DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.The Junior Data Science Engineer role in the Customer Engineering team is an exciting opportunity to work at the intersection of AI/ML engineering, solution development, and go-to-market strategy. We are looking for a highly coachable, ambitious data science engineer who thrives in hands-on problem-solving and is eager to grow into a well-rounded AI/ML engineer.Your work will focus on building reusable, production-ready AI solutions that accelerate customer adoption of the DataRobot platform. This means:Developing scalable, productionizable AI assets that customers can confidently integrate into their workflows.Ensuring AI solutions are resilient, maintainable, and easy to deploy, minimizing operational friction.Engaging with early-adopter customers and internal teams to refine and validate solutions.Collaborating with product, sales, marketing, and enablement teams to drive solution awareness and usage at scale.Beyond developing and refining AI solutions, you will also help prioritize future investments by identifying high-impact opportunities and gathering customer feedback to refine existing assets.This role is ideal for a highly motivated, coachable data scientist eager to work hands-on with Python, pandas, and modern AI tooling while making a real impact on customer success and AI adoption. If you thrive in a fast-paced, highly autonomous environment, enjoy solving complex problems, and want to build AI solutions that truly scale, we’d love to hear from you!Key Responsibilities:Develop reusable, production-ready assets that accelerate AI/ML adoption for customers—ranging from demo environments to deployable templates.Prototype and experiment with AI/ML workflows using Python, pandas, and modern AI tooling, ensuring they are scalable and customer-ready.Implement and refine engineering best practices to improve performance, scalability, and maintainability of AI/ML solutions.Work within existing infrastructure to support scalable AI deployments, including CI/CD automation, API integrations, and containerized environments (Docker, Kubernetes).Contribute to, create, and maintain automated tests for AI/ML workflows.Collaborate cross-functionally with product, sales, and marketing teams to scale high-impact solutions.Work on real-world deployment challenges, including monitoring, logging, and improving reliability in AI/ML workflows.Support customer engagements by working directly with users to validate solutions, improve adoption, and ensure real-world impact.Stay ahead of industry trends, continuously refining our approaches and advocating for best practices in AI/ML engineering.Work closely with enablement teams to scale adoption of our solutions through documentation, content, and training materials.Knowledge, Skills and Abilities:Strong Python ecosystem knowledge with the ability to experiment, iterate quickly, and troubleshoot real-world ML workflows using libraries like pandas, NumPy, scikit-learn, and web server tools like FastAPI.1-5 years of experience in data science, machine learning, or AI development (or a top-tier CS/DS graduate with strong fundamentals).Highly coachable, adaptable, and eager to learn—we prioritize raw ability, curiosity, and work ethic over specific years of experience.Experience with ML model development, deployment, and evaluation—you should be comfortable turning data into insights and working with predictive models.Some familiarity with data engineering best practices, including working with structured/unstructured data, feature engineering, and optimizing ML pipelines.Proficiency in writing efficient, maintainable, and well-structured code, with an emphasis on reusability, scalability, and production readiness.Experience with software engineering best practices, including containerization (Docker), CI/CD automation, and cloud-based ML deployment.Ability to implement logging, monitoring, and debugging strategies to ensure the reliability and performance of AI/ML applications in production.Strong foundation in Computer Science fundamentals, including object-oriented design, data structures, and algorithmic problem-solving.Experience with APIs, SDK development, or ML platform integrations is a plus.Customer-facing or project-based experience is a plus, but we’ll help develop these skills.Self-motivated, driven, and eager to take on challenges—we’re looking for someone who thrives in a fast-moving, high-growth, and high-autonomy environment. Nice to Have:Experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployment.Some working knowledge of automated testing and test-driven developmentFamiliarity with CI/CD pipelines and DevOps practicesBasic knowledge of generative AI solutions like RAG, finetuning, etc.Masters’ degree in Data Science or Software EngineeringThe talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!DataRobot Operating Principles:Wow Our CustomersSet High StandardsBe Better Than YesterdayBe RigorousAssume Positive IntentHave the Tough ConversationsBe Better TogetherDebate, Decide, CommitDeliver ResultsOvercommunicateResearch shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.All applicant data submitted is handled in accordance with our Applicant Privacy Policy.",Mid-Senior level,Junior Data Science Engineer
+412,2025-04-09,Seattle,Washington,Edo,https://www.edoenergy.com/,"Edo is a leading provider of innovative energy efficiency and demand flexibility solutions. We partner with utilities to transform commercial buildings into efficient, reliable contributors to the electric grid. Utilities rely on Edo’s virtual power plants and AI-driven technology to optimize thousands of buildings and aggregate distributed energy resources. Edo’s technology and expertise improve energy consumption, reduce costs, and cut carbon emissions for a sustainable future. ","Edo partners with utilities to transform commercial buildings into efficient contributors to the electric grid. We have a bold vision: a future where clean energy is reliable, affordable, and empowers communities everywhere. The energy sector is undergoing its most dramatic transformation in decades, with the U.S. power grid being reimagined to meet evolving technological, environmental, and economic needs. Edo develops innovative energy efficiency and demand flexibility solutions that help utilities and building owners navigate this shift while ensuring grid reliability and operational efficiency. Let’s shape the future of energy together.The Opportunity with EdoWe are looking for a Machine Learning Engineer to join Edo’s R&D team, where you will develop tools to optimize energy use in buildings and implement novel control sequences to shift and shed electrical load in buildings. You will work closely with Edo’s Software Development team to deploy trained models into production; and you will work closely with Edo’s Operations team to evaluate building performance trends and identify measures to improve energy efficiency and occupant comfort.Ideally, you will have industry experience developing production-ready machine learning models and a strong theoretical understanding of machine learning concepts (statistics, time series analysis and forecasting, and optimization). Exceptional candidates will also have experience evaluating energy use in commercial buildings, including HVAC sequences of operation and onsite distributed energy resources (DERs).Our solutions operate on large streaming data sets, and you will gain experience deploying models in the cloud and on edge devices. You will also work closely with domain experts to build a deep understanding of the electricity grid, commercial building optimization, and opportunities for developing sustainable energy systems.What we want you to do:Develop and extend frameworks for time-series analysis and fault detection.Develop and improve machine learning algorithms for energy forecasting and optimal control.Develop automated methods for tuning machine learning models and retraining as necessary.Develop and extend inhouse python visualizations libraries for evaluating the performance of machine learning models.What we would like to see from you:Degree in Engineering, Physics, Computer Science, or a closely related quantitative field.Two or more years of experience conducting timeseries data analysis and developing machine learning models.Experience with machine learning techniques, including: data cleaning and imputation, feature selection, hyperparameter tuning, ensemble modeling, and error analysis.Experience deploying machine leaning models to production using Azure, Amazon Web Services, or similar.Excellent communication skills with the ability to engage both technical and non-technical audiences.Strong Python programming skills.What we’d like to see (but not required):Experience with SQL and/or time series databases.Experience with data visualization in python.Experience using AzureML to train, deploy and evaluate machine learning model performance at scale.Experience with physics-informed machine learning.Experience modeling energy use and/or controls in commercial buildings.PeopleFirst BenefitsWhen it comes to the basics, we have you covered:Competitive pay401(k) with employer match and profit-sharing planPaid time off and holidaysComprehensive medical, prescription, dental, and vision with low or zero deductible options and low out of pocket maximumsPeople come first at Edo, and we go beyond the basic benefits with:Family formation benefits, including adoption and IVF assistanceUp to 16 weeks paid parental leaveTransgender inclusive benefitsCommuter benefitsPet insurance“Building Good” paid community service timeLearning and advancement opportunities via McKinstry UniversityMcKinstry Moves onsite gyms or reimbursement for remote workersSee benefit plan documents for complete details.If you’re driven by our vision to build a thriving planet together, Edo is the place to build your career.The pay range for this position is $102,600 - $164,700 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Base pay information is based on market location. A bonus may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.Edo is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and qualified applicants without regard to sex, gender identity, sexual orientation, age, race, color, creed, marital status, national origin, disability, veteran status, genetic information or any other basis protected by law. This policy applies to all terms and conditions of employment including, but not limited to employment, advancement, assignment, and training. This commitment to Equal Employment Opportunity is made equally as a social responsibility and as an economic and business necessity. Edo is a drug-free workplace. Employment is contingent upon successfully passing a pre-employment drug and alcohol test, complying with the requirements of the Immigration Reform and Control Act and a Confidentiality Agreement, in addition to successful outcomes of background and reference checks. Applicants for this role will only be considered if they possess current US Work Authorization, and do not require employer-sponsored VISA support to begin or remain in this role.",Not Applicable,Machine Learning Engineer
+413,2025-03-25,Southfield,MI,Stefanini North America and APAC,http://www.stefanini.com/en/,"Stefanini Group is a multinational company with a broad portfolio of technological solutions. Our global presence spans 41 countries and 44 languages. Motivated by a shared entrepreneurial spirit, we help our clients transform their business through digital innovation, working in an agile manner and co-creating for a better future.
+We believe technology can revolutionize a company and that innovation is essential to foster development and competitiveness. We also value new ideas and the power of an open mind, so we recognize every talent is essential to the quality of our projects and especially to our progress. We are big enough to invest in new technology while small enough to be both flexible and adapt to our clients’ needs. Driven by our entrepreneurial mindset, we help customers transform their business through digital innovations by working in an agile mode and co-creating for a better future.
+
+
+We offer a broad portfolio of solutions, combining innovative consulting, marketing, mobility, personalized campaigns and artificial intelligence services with traditional solutions such as service desk, field service, and outsourcing (BPO). We maintain our excellence by investing in technological innovations, the best partnerships, acquisitions of companies worldwide, and the hiring of highly trained professionals.
+
+","Details:Job DescriptionStefanini Group is hiring!Stefanini is looking for a Machine Learning Engineer (Google Cloud Platform), Dearborn, MI (Hybrid) For quick apply, please reach out Pawan Rawat at 248-213-3605/pawansingh.rawat@stefanini.com We are looking for a Software Engineer to help build and drive the development of generative AI applications that will transform the future of mobility. In this role, you will work in a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers. You will be responsible for developing cutting-edge generative AI applications and systems that can be deployed across various domains, enabling smarter decision-making, enhancing customer experiences, and optimizing operations.Responsibilities Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company.Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems.Maintain and mange current CI/CD ecosystem and toolsFind ways to automate and continually improve current CI/CD processes and release processesExamine, inspect codes / scripts and resolve issuesHelp innovate standardize machine learning development practices.Experiment, innovate and share knowledge with the team.Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.Leverage latest ML / Gen AI / GCP / Kubernetes technologiesJob RequirementsDetails:Experience Required3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.2+ years of experience with Cloud Engineering / ServicesExperience with ML workflow orchestration tools: Airflow, Kubeflow etc.Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++Experience/understanding in MLOPs and Gen AIExperience in DevOps: Jenkins/Tekton etc.Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc.Experience in container management solution: Kubernetes, DockerExperience in scripting language: Bash, PowerShell etc.Experience with Infrastructure as code: Terraform etcExperience PreferredMaster focused in Computer Science / Machine Learning or related fieldExperience working with Google Cloud platform(GCP) - specifically Google Kubernetes engine, Terraform, and infrastructureExperience in programming concepts such as Paired Programming, Test Driven Development, etc.Knowledge of coding and software craftsmanship practices.Must be a quick learner and open to learning new technology.Experience applying agile practices to solution delivery.Must be team-oriented and have excellent oral and written communication skills.Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.Experience and good understanding of GCP, DevOPs, AI/ML and GEN AIEducation Required:A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline.Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.About Stefanini GroupThe Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMMI Level 5 company.",Mid-Senior level,Machine Learning Engineer (Google Cloud Platform)
+414,2025-04-09,,,LogicMatrix,,"Become part of a thriving community of creators. Join the 10,000+ developers building with LogicMatrix AI. hashtag#CodingCommunity hashtag#SoftwareCreators hashtag#LogicMatrixAI","Data Scientist (Python) - Minimum 5 years of experience is required.Candidates must be authorized to work in the United States full-time.Who You Are: You are a mid-level data scientist with 3+ years of experience in Python. You have expertise in machine learning and data analysis.What You Will Do:Develop and implement machine learning models.Analyze large datasets and extract insights.Conduct data exploration and visualization.Collaborate with engineers and product managers.Communicate findings and recommendations.Stay up-to-date with the latest data science trends.Build and maintain data pipelines.Requirements:5+ years of experience in data science.Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn).Experience with machine learning algorithms and techniques.Knowledge of data visualization tools (Matplotlib, Seaborn).Strong analytical and problem-solving skills.Good communication and presentation skills.",Not Applicable,Data Scientist (Python)
+415,2025-04-07,St Petersburg,Florida,EVONA,http://www.evona.com,"We believe in the evolution of knowledge and the progression of people - it is so core to our business, it's the meaning of our name: EVO - to evolve, ONA - people. ​
+
+EVONA Group brings together pioneering talent solutions for today’s most ambitious companies, with a suite of services designed to meet the unique demands of space, defense, and deep tech.
+ 
+FRACTION - www.evonafraction.com - connects VCs, PEs, and founders with fractional executives, bringing high-impact expertise exactly when it’s needed. 
+
+GRAM PARTNERS - www.grampartners.com -  is our white-glove executive search and consulting service, led by former SpaceX and Apple executives, delivering unmatched precision in high-level talent acquisition. 
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+EVONA - www.evona.com -  is the original, award-winning subscription and direct hire service for VP, director, management, and individual contributor roles, trusted by top companies for a seamless recruitment experience.
+ 
+Our platforms empower you to source talent independently or access curated executive search expertise – and we’ve built a following you can leverage to drive your mission forward.
+
+Call on: +1 202-381-9944 (US) or +44117 2034444 (UK)","Machine Learning EngineerThe Machine Learning Team is focused on developing and implementing advanced machine learning algorithms to solve complex problems in the evolving space economy. These efforts span various domains, including Computer Vision, Edge Processing, Data Fusion, and probabilistic statistical modeling.As a Machine Learning Engineer, you will enhance existing capabilities, incorporate the latest research, implement state-of-the-art algorithms, productionize models, create MLOps solutions, and work with end-users to deploy innovative systems.Key ResponsibilitiesDesign, develop, and validate reliable and scalable algorithmic solutions.Research and implement cutting-edge algorithms for challenging space-based applications.Optimize the runtime performance of existing implementations.Collaborate with end-users and partners in a team-focused, innovative environment.Integrate current and future machine learning solutions into production pipelines.Contribute to team discussions and provide insights to drive innovation across multiple related projects.QualificationsMinimum RequirementsBachelor’s or Master’s degree in Data Science, Machine Learning, or a related technical field, or 4+ years of relevant professional experience.Strong programming skills in Python.Proficiency with one or more of the following frameworks: PyTorch, TensorFlow, JAX.Solid understanding of linear algebra, calculus, statistics, and machine learning principles.Hands-on experience in developing advanced machine learning applications.Proficiency in data analysis, engineering, and exploration techniques.Excellent problem-solving, critical thinking skills, and strong engineering fundamentals.Ability to communicate complex algorithms and concepts effectively.Strong oral and written communication skills.Experience with Linux and shell command-line tools.Willingness to travel for collaboration across teams.Flexibility to work extended hours or weekends occasionally, if necessary.Eligibility to obtain a Secret or TS/SCI security clearance.Preferred Skills and ExperienceProgramming skills in C++.Experience productionizing machine learning solutions.Experience working in cloud environments (AWS, GCP, Azure).Knowledge of areas such as computer vision, uncertainty quantification, signal processing, computational physics, and time series analysis.Familiarity with platforms like Kubeflow, Blender, or Nvidia Omniverse.Additional RequirementsThis role may involve access to technology and software subject to U.S. export controls. Applicants must meet export control compliance criteria, including being a U.S. citizen, lawful permanent resident, refugee, or asylee, or be eligible for required U.S. Department of State authorizations.BenefitsHealth Insurance: Comprehensive medical, dental, and vision coverage.Retirement Plans: Access to a 401(k) plan.Paid Time Off: Generous vacation, personal days, and holidays for a healthy work-life balance.Professional Development: Access to training, workshops, and courses to foster career growth.Team Building: Regular social events, team outings, and company-sponsored activities.Diversity and Inclusion: A welcoming and equitable work environment supported by dedicated initiatives.About UsWe are a forward-thinking company dedicated to shaping the future of space exploration and operations. Our work includes designing cutting-edge spacecraft for space transport, orbital debris removal, and Space Domain Awareness (SDA) to support current and future space missions. We aim to deliver high delta-V per dollar to maximize cost-efficiency in space transportation. Our past successes include the launch of our first satellite in mid-2023, with additional missions planned for 2025.Apply now to join a collaborative and innovative team driving the future of space technology.",Mid-Senior level,Machine Learning Engineer
+416,2025-04-04,San Francisco,California,Imbue,https://imbue.com/,"We're rekindling the dream of personal computing by making reliable software creation accessible to all. Our mission is to empower humans in an age of AI by creating powerful computing tools for people. 
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+Our first product, Sculptor, is a coding agent environment that suggests and generates fixes to your code in a safe sandbox, enabling real-time improvements while you write. Our research focuses on improving our ability to verify the correctness of LLM-generated code, so that anyone can trust the software they make is reliable and robust.
+
+We envision a future where AI serves as a genuine tool — one that empowers us to pursue our own goals in this era of powerful AI.","SummaryAs a machine learning engineer, you’ll work very closely with a senior member of our research team on cutting-edge deep learning research, infrastructure, and tooling towards the goal of creating general human-like machine intelligence.This role can be either fully in-person or remote.Example projects Understand and implement papers to improve areas of interest, such as automatically generating and iteratively refining code, outputting reasoning traces, and verifying or debugging code Devise scientifically rigorous experiments to analyze the failure modes and benefits of different techniques Contribute to our data generation pipeline for creating instruction-tuning and evaluation data Develop infrastructure for making fine-tuning and experimentation simpler, faster, and less error-prone Work with our data and product engineers to identify areas of improvement from model results Leverage our existing framework to perform hyperparameter sweeps, and maintain and contribute new features to the sweep codeYou are Very comfortable writing Python Familiar with PyTorch and training deep neural networks Passionate about engineering best practices Self-directed and independent Excellent at getting things doneCompensation And Benefits Work directly on creating software with human-like intelligence Flexible working hours Time and budget for learning and self improvement Compensation packages are highly variable based on a variety of factors. If your salary requirements fall outside of the stated range, we still encourage you to apply. The range for this role is $140,000–$350,000 cash, $10,000–$5,000,000 in equityHow To ApplyAll submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas.We try to reply either way within a week or two at most (usually much sooner).Learn more about our full interview process here.About UsImbue builds AI systems that reason and code, enabling AI agents to accomplish larger goals and safely work in the real world. We train our own foundation models optimized for reasoning and prototype agents on top of these models. By using these agents extensively, we gain insights into improving both the capabilities of the underlying models and the interaction design for agents.We aim to rekindle the dream of the *personal* computer, where computers become truly intelligent tools that empower us, giving us freedom, dignity, and agency to pursue the things we love.",Not Applicable,"Software Engineer, Machine Learning"
+417,2025-03-20,,,Top AI Start up,,,"ML Engineer at a top AI start upRequirements:Experience from a start-up, or from an AI/ML engineering background Bachelors degree from top 50 Computer Science schoolResponsibilities:Create datasets, benchmark models, and define evaluation metrics for various tasks in voice agent platform.Train / Fine-tune various audio & LLM models for accuracy, latency, and domain specific knowledge.Work with engineers to integrate, monitor, and optimize models in production.Setup and manage a scalable human evaluation pipeline.Stay updated on cutting-edge AI advancements and experiment with / benchmark new models.Create scalable ML infrastructure & deployment within the system.",Mid-Senior level,AI/ML Software Engineer
+418,2025-04-05,California,94086,Intuitive,http://www.intuitive.com,"Intuitive (Nasdaq: ISRG), headquartered in Sunnyvale, Calif., is a global technology leader in minimally invasive care and the pioneer of robotic-assisted surgery. At Intuitive, we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.","Company DescriptionAt Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.Job DescriptionRoleWe are looking for a talented individual to join our growing machine learning and data science team to help provide creative ways to develop new technology focused on surgical workflow and performance for next generation robotic surgery platforms.ResponsibilitiesAs a Machine Learning Engineer, you will work at the intersection of machine learning and engineering (i.e., MLOps) to contribute to innovative digital solutions leveraging Surgical AI/ML technologies. Immediate projects and responsibilities may include:Integrating machine learning into digital products and services by working cross-functionally across engineering, data science, and machine learning teamsDeveloping automated workflows and tools to curate datasets and facilitate training of deep learning modelsWorking closely with Machine Learning and Data/Software Engineering teams to develop efficient processes for model development/deployment for various applications.Help support and manage a growing cloud infrastructure for MLOpsQualificationsWhat you’ll need to be successful:M.S. or Ph.D. in computer science, electrical and computer engineering, or related fields.Minimum 3 years of industry experience developing productionized code in machine learning, data engineering, or related field for AI applicationsExcellent communication skills both written and verbalA desire to work in a high-energy, focused, small-team environment with a sense of shared responsibility and shared rewardInterest in early research and development through to product roll-out in the fields of surgical AI and surgical roboticsHands-on experience with ML frameworks, such as PyTorch, Tensorflow, or similarKnowledgeable about MLOps platforms and/or ML CI/CD workflows to manage datasets and model training, deployment, and monitoringExperience with MLOps tools like MLFlow, KubeFlow, W&B, etcKnowledgeable about kubernetesExperience with cloud compute environments such as AWS, GCP, etcExperience with both edge and cloud deployments, focused on automation, scalability, and robustnessExperience with Python and SQLExperience with Git e.g github, gitlab, bitbucket, etcAbility to travel domestically and internationally (5-10%)Additional Desirable ExperienceExperience with successfully launching ML models into productionExperience supporting large multi-modality dataset including image/videoExperience within healthcareExperience with federated learningAdditional InformationDue to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.Mandatory NoticesWe will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.Base Salary Range Region 1: $161,500 USD - $232,500 USDBase Salary Range Region 2: $137,400 USD - $197,700 USDShift: DayWorkplace Type: Purposeful Onsite - This job requires being onsite for leader-defined events and activities which could be monthly/annually. Onsite frequency may increase based on business need.",Mid-Senior level,Machine Learning Engineer
+419,2025-04-03,Dearborn,Michigan,Food and Beverage Industry Solutions,https://www.pmcorp.com/Industries/FoodandBeverage.aspx,"Tecnomatix®  Plant Simulation Food and Beverage Library allows planners to investigate planning options and make informed decisions before incurring heavy design, engineering and investments costs.","Duration: 3+ yearsLocations: Multiple LocationsRole Title: Machine Learning EngineerThis role is to work with the Data Science team to develop and deploy machine learning solutions of the enterprise application and data landscape.Over eight (8+) years of data science and analytics design and development with good business skillsThe following functions are the responsibility of the ML Engineer within Data Science Team.Position ResponsibilitiesResponsibilities includes, but are not limited to the following:Design, build, deploy, monitor and support production deployment of data science solutionsResearch and implement ML algorithms and tools as a proof-of-concept and move it to the production-ready stateSelect appropriate datasets and data representation methodsOptimize and transform data science prototypes/solutions for speed, reliability, and scaleImplementing parallelization using spark, Kubernetes, etcTesting different platform stacks for performance and efficiencyProviding scalability by planning, designing and deploying on the appropriate CPU/GPU clustersCollaborate cross-functionally with domain experts to identify gaps and structural problemsPresent findings and discuss project results with business unitsAnalyzing, extracting, and optimizing relevant information from large amounts of data to help drive business decisions on product features and operational efficiencySQL knowledge is mustCompetenciesKnowledge of 7 + years of PythonData mining experienceDeep knowledge of statistics and practical implementations of computational statisticsPredictive modeling and algorithmsKnowledge of in reporting and data visualization",Entry level,Machine Learning Engineer
+420,2025-03-21,New York,,Baselayer,Baselayer.com,"Baselayer empowers over 2,000 financial institutions and government agencies to trust the small and medium-sized businesses they serve. 
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+We use proprietary machine learning to search government records, the web, and private databases to answer questions about Compliance, Risk, or Fraud about any business in the United States.
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+Our solution suite includes tools for identity verification (Know Your Business), enhanced due diligence, fraud prevention, risk profiling, lien filing, and portfolio monitoring. Our platform also offers unique credit stacking capabilities and an advanced repeat fraud prevention system.
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+Baselayer is integrated into companies with over 30 million accounts, rating and verifying real-time applications. 
+
+Baselayer.com","About Baselayer: With experience across far-ranging banks, Fortune 500 tech co’s, fintech unicorns 🦄, and AI experts, Baselayer is built by financial institutions, for financial institutions. Started in 2023 by experienced founders Jonathan Awad and Timothy Hyde, Baselayer has raised $20 Million and hit $2 Million in ARR faster than any other identity company in history. Today more than 2,000 Financial Institutions and Government Agency customers later, Baselayer is revolutionizing the way businesses approach fraud prevention and compliance. 🏆Check out their press release here → https://baselayerhq.com/press/About You: You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win—you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions.You have 1-3 years of experience in machine learning development, working with Python and building ML modelsYou're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systemsYou have a strong foundation in AI/ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniquesYou prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYBYou have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performanceYou thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstractionProblem-solver who navigates the unknown confidentlyProactive self-starter who thrives in dynamic settingsIncredibly intelligent and clever. You take pride in your modelsHighly feedback-oriented. We believe in radical candor and using feedback to get to the next levelResponsibilitiesModel Development & Integration: Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM spaceML System Design: Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use casesData Processing & Feature Engineering: Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional dataAdvanced ML Techniques: Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity spaceML Infrastructure: Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued innovationModel Governance & Compliance: Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulationsPerformance Optimization: Implement optimizations for model inference and training, ensuring ML services can efficiently process identity data while maintaining reliabilityExperimentation & Evaluation: Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use casesBenefitsHybrid in SF. In office 3 days/weekFlexible PTOHealthcare, 401KSmart, genuine, ambitious teamStart date: AprilSalary Range: $150k – $225k + Equity - 0.05% – 0.25%",Entry level,Machine Learning Engineer
+421,2025-03-22,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Machine Learning Engineer to join our team. You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment and catalog system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You will report to the engineering manager on our New Verticals ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building.Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Mid-Senior level,Machine Learning Engineer - New Verticals
+422,2025-04-01,Tampa,Florida,Gerdau North America,http://www.gerdau.com,"In North America, Gerdau manufactures merchant bar, structural steel, piling, special bar quality and rebar products for the agricultural, automotive, civil construction, distribution, energy, industrial, and mining markets.","Empowering people who build the future.BASIC FUNCTION (Primary Purpose)Build models and perform analysis with advanced Analytics techniques delivering models and extract relevant data to solve analytical problems. Good understand of descriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, Optimization, Data visualization, Pattern, cluster, segmentation analysis.Primary Duties & Responsibilities%Description Of Duty/responsibility80%Performs research, analysis, and modeling on organizational data.Ensure Analytics model quality assurance and validate them (peer validation)Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questionsDefine model monitoring criteriaProvides findings and analysis for use in decision making20%Develop Analytics best practices (models, standards, tools) Manage Analytics project pipeline and track Analytics impact on businessMonitor marketManage idea generation for patent developmentScopeMines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making. design, build and implement analytical solutions. Work closely with project teams and act as a Data Science & Advanced Analytics expert. Overall role in helping to drive global improvements based on qualitative data and by investigating various topics and sharing insights to a broader audience.Qualifications And Educational Requirement(s)Bachelor’s degree in a related area and 3 years of experienceExtensive knowledge of industry perspective and ability to translate business needs into dataAnalytical skillsDescriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, Optimization, Data visualization, Pattern, cluster, segmentation analysisExperience with analytical tools and languages - E.g. Python, SageMaker, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, PowerBI, Alteryx, Qlikview, Rapid Miner, Visual Basic, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, SQL language or SQL-likeGerdau believes in equal employment opportunity related to all employees and applicants for employment. It is the policy of Gerdau that there will be no discrimination against any employee or applicant for employment on the basis of race, religion, color, national origin, citizenship, marital status, sex, age, sexual orientation, genetic information, gender identity, veteran status, disability, or other legally protected status. All external applicants must be legally eligible to immediately work in the country of hire without current or future sponsorship. If you are vision-impaired or have some other disability under the Americans with Disabilities Act / Accessible Canada Act or a similar law, and you wish to discuss potential accommodations related to applying for employment at Gerdau, please contact our Talent Acquisition Team at (866)-788-2798 or recruiting@gerdau.com",Entry level,Data Scientist
+423,2025-03-22,"Provo, UT and Seattle, WA",,Qualtrics,https://www.qualtrics.com/,"At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 19,000 clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. That’s where we come in. 
+
+Founded in 2002, our company has spent over 21 years working with the industries that impact you every day. From retail to government to healthcare, we’ve been on a mission to bring humanity, connection, and empathy back to business. It’s a mission that thousands of Qualtricians across the globe think is work worth doing.
+
+Mission: At Qualtrics, our mission is to build technology that closes experience gaps.","At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.Machine Learning Engineer IIWhy We Have This RoleWe are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!How You’ll Find SuccessWork in a supportive environment enables individual growth and achievement of team goalsCollaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customersDevelop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning modelsImplement new features and optimize existing ones to delight our customersHow You’ll GrowWork in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing businessBuild and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.Things You’ll DoWork closely with, and incorporate feedback from other specialists, tech-ops, and product managersLead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacityAttend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customersFinding quick ways to prototype and test possible solutions to large problemsWhat We’re Looking For On Your ResumeBachelor’s degree in Computer Science or related fields.2-5 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.Strong Computer Science fundamentals in algorithm design, complexity analysis, and performanceExperience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented designExperience with applied machine learning models and large-scale ML systemsWhat You Should Know About This TeamThe Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines. This team builds core machine learning infrastructure and services.Our Team’s Favorite Perks And Benefits$1800 Experience bonus to be used for an “Experience” of your choosingUnlimited Sick DaysAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection ActQualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.Washington State Annual Pay Transparency Range$127,000—$240,000 USD",Mid-Senior level,Machine Learning Engineer II
+424,2025-04-08,Mountain View,California,Moveworks,https://moveworks.ai/?utm_source=soc&utm_medium=li,"Moveworks unifies every business system with natural language, giving employees one place to go to find information, automate tasks, and be more productive, increasing employee efficiency and satisfaction by streamlining everyday tasks.
+
+Powered by a pioneering agentic AI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, Moveworks understands employee requests, devises intelligent plans, and executes actions to complete tasks across application boundaries in over 100 languages.
+
+More than 350 brands, such as Toyota, Spotify, GitHub, Marriott, Snowflake, Unity, Databricks, Broadcom, Hearst, and Palo Alto Networks, trust Moveworks to automate menial tasks and power a universal search interface across business applications.
+
+Learn more at moveworks.com.","Location: Based in our Mountain View or San Francisco office. Hybrid 2-3x a weekIn this role you’ll lead the full-stack Data Science function for all our Sales stakeholders as we grow Moveworks business from $100M to $1B ARR over the next few years. You will collaborate directly with Sales Operations, Sales Leadership, and Business Strategy teams to continuously enhance our role-specific sales dashboards and execute deep analyses to inform day-to-day sales execution tactics as well as longer term sales strategy.You will partner with your fellow Data Scientists on the Marketing and Customer Success side to continue to jointly develop our best-in-class GTM data infrastructure.You’re someone who enjoys the constant combination of deep technical data science work with direct first-hand exposure to business context. You’re motivated by proactively finding data insights that make an immediate tangible impact on our Sales results.This role is part of our centralized GTM Operations team and reports to Sr. Director of GTM Operations.What Will You Do?Build and maintain dashboards for all Sales audiences (AEs, Sales Leaders, SDRs, SDR Managers, Presales, etc.)Analyze sales performance to identify levers that move the needle in increasing our pipeline generation, conversions, win rates, and overall revenue targets.Work with Sales Leadership and Sales Operations to develop and implement new sales metrics as our business continues to evolve.Proactively identify opportunities to improve stakeholder dashboards and data quality.Build and improve ETL pipelines to deliver new metrics and visualizations.Contribute to analytics working sessions to empower stakeholders to own their analysis.What You Bring To The Table4+ years of experience in analytics.Experienced in BI tools such as Tableau or Mode Analytics.Strong collaboration skills, business intuition, attention to detail, and natural curiosity.Experienced in SQL and Python.Experienced in data modeling principles and ETL.Experience in building and maintaining data pipelines.Experienced in causal inference and predictive analytics. *Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans. Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.Moveworks Is An Equal Opportunity Employer*Moveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.Who We Are Moveworks is the universal AI copilot for search and automation across all your business applications. We give employees one place to go to find information and get support while reducing costs for your business. The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them. It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees.  The world’s most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminate repetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team. In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year. We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024! Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.Come join one of the most innovative teams on the planet!",Mid-Senior level,"Data Scientist, Sales"
+425,2025-02-13,Monmouth Junction,NJ,First Soft Solutions LLC,http://www.firstsoftsolutions.net,"When you hire First Soft Solutions, you're hiring a strategic technology consulting partner committed to helping you meet your unique business and technology objectives on time, on budget and with an optimal experience. We apply the expertise of our global community of technology experts, an unmatched portfolio of proven solutions, flexible delivery and a laser focus on the Microsoft enterprise platform to help you increase revenue, reduce costs and reinvest in innovation for competitive advantage. And we bring unique connections with our clients and Microsoft, enhancing our ability to deliver effective mission-critical solutions for organizations across all industries. When selecting an First Soft Solutions solution, you'll receive the best of our thinking and experience. Based on engineered, tested and reusable technology assets, our solutions are proven to help customers streamline operations, create new products and services, optimize collaboration across all groups and boundaries, and serve their customers better.","We are actively hiring for Principal Machine Learning EngineerFull time positionRequired SkillsetExperience required 12-21 yearsStrong expertise in Machine Learning & AI (Supervised & Unsupervised Learning).Proficiency in Python, TensorFlow, SQL, and Jupyter Notebooks.Deep understanding of time-series modeling, anomaly detection, and risk analytics.Experience with big data processing and financial data pipelines.Ability to deploy scalable ML models in a cloud environment.Machine Learning for Exception Classification (MLEC): Working codes & documentationMissing Value Imputation: Implementation & validation reportsEarly Warning Signals: Data onboarding & anomaly detection modelsModel Surveillance: Fully documented monitoring frameworkSecurities Lending: Clustering algorithms for financial marketsAdvanced Data QC: Development of a general-purpose QC library",Mid-Senior level,Machine Learning Engineer
+426,2025-03-27,Broomfield,Colorado,DigitalOcean,https://www.digitalocean.com,"DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean helps developers at startups and growing digital businesses rapidly build, deploy and scale, whether creating a digital presence or building digital products. DigitalOcean combines the power of simplicity, security, community and customer support so customers can spend less time managing their infrastructure and more time building innovative applications that drive business growth.","We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems.Key ResponsibilitiesDevelop, test, and implement predictive models and machine learning algorithms to solve business challenges.Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools.Design and execute experiments (A/B testing, causal inference, etc.) to measure the impact of business initiatives.Collaborate with stakeholders to translate business questions into data science problems and communicate findings effectively.Build and maintain data pipelines and ETL processes to ensure data quality and availability.Present data-driven recommendations to executives and cross-functional teams in a clear and actionable manner.Stay updated on the latest advancements in data science, machine learning, and AI.QualificationsMaster’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.3+ years of experience in data science, analytics, or a similar role.Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.Solid experience with SQL for querying and managing structured data.Knowledge of machine learning, statistical modeling, and optimization techniques.Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.Ability to communicate complex findings to non-technical stakeholders in a clear, concise manner.Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).Familiarity with business intelligence, marketing analytics, or financial forecasting is a plus.Preferred SkillsExperience in causal inference, econometrics, or Bayesian methods.Hands-on experience with ML Ops, model deployment, or data engineering workflows.Understanding of business metrics, growth strategies, and financial modeling.Ability to work in a fast-paced, cross-functional environment.Why You’ll Like Working for DigitalOceanWe innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.We reward our employees. The salary range for this position is $165,000 - $195,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.This is a remote role",Mid-Senior level,Data Scientist
+427,2025-03-21,Menlo Park,California,Robinhood,http://www.robinhood.com,"Trade. Invest. Earn. 
+
+rbnhd.co/social_media_disclosures","Join a leading fintech company that’s democratizing finance for all.Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.With growth as the top priority...The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.About the team + roleThe mission of the Applied Machine Learning team is to provide scalable data and model driven decision making solutions to the various business functions at Robinhood. We aim to create a personalized experience for our users, by helping them discover & engage with the right products & features within Robinhood that they might find most valuable. To accelerate progress, we are also building an accessible model development platform to democratize machine learning practices throughout the company. As we embark on this exciting journey, we are looking for a Senior Machine Learning Engineer to join us to make this vision a reality.What You'll DoAs a Machine Learning Engineer on our team, your primary focus will be on the implementation and evaluation of machine learning algorithms through rigorous experimentation and testing methodologies. Your responsibilities will include:Model Development and Implementation: Develop and implement scalable machine learning models focusing on advanced ranking and recommendation systems, including expertise in Collaborative Filtering, Content-Based Filtering, and Hybrid models, alongside proficiency in Learning to Rank (LTR) techniques for effective prioritization. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation.A/B Testing and Experimentation: Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance, and analyzing results.Data Analysis and Insight Generation: Analyze experimental data to extract actionable insights. Use statistical techniques to validate the findings and ensure their relevance and accuracy.Cross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Present results to different stakeholders.Tooling and Documentation: Build reusable libraries for common machine learning practices. Offer support and guidance to the usage of these tools. Maintain comprehensive documentation of libraries, models, experiments, and findings. .What You Bring5+ years of applied ML experience productionizing ML models with 2+ years focused on recommendations, ranking or personalization projects.A fervent interest in exploring and applying AI and ML technologies.Strive to solve sophisticated engineering problems that drive business objectives.Solid technical foundation enabling active contribution to the design and execution of projects and ideas.Familiarity with architectural frameworks of large, distributed, and high-scale ML applications.Proven experience in ML with a focus on ranking, recommendation systems, multi-objective optimization, and reinforcement learning.Proficiency in Python, SQL, XGboost, PyTorch/TensorFlow.Experience with Spark, Kafka, and Kubernetes is also desirable.Ideally you have experience in the Finance sector.What We OfferMarket competitive and pay equity-focused compensation structure100% paid health insurance for employees with 90% coverage for dependentsAnnual lifestyle wallet for personal wellness, learning and development, and more!Lifetime maximum benefit for family forming and fertility benefitsDedicated mental health support for employees and eligible dependentsGenerous time away including company holidays, paid time off, sick time, parental leave, and more!Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefitsWe use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.Please see the independent bias audit report covering our use of Covey here.Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$187,000—$220,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$165,000—$194,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$146,000—$172,000 USDClick here to learn more about available Benefits, which vary by region and Robinhood entity.We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.",Mid-Senior level,"Senior Machine Learning Engineer, Applied ML"
+428,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Ads/Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our teams develop a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, vertical solutions, creative solutions, and business integrity.This channel serves as the entry point for our general hiring process: you will go through two to three rounds of technical interviews and then proceed to team matching. Your profile will be reviewed by multiple teams within Monetization Technology, which is a great benefit!We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Key Responsibilities Participate in the development of a large-scale Ads system. Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the TikTok ads monetization ecosystem. Work with product and business teams on product vision.QualificationsMinimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, or other relevant majors. Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python. Experience with deep learning and machine learning. Ability to think critically and to formulate solutions to problems in a clear and concise way.Preferred Qualification Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (Advertisement Team) - 2025 Start (BS/MS)
+429,2025-02-11,Cambridge,MA,Pickle Robot Company,http://www.picklerobot.com,"We believe the best working experience is one where machines do the heavy lifting and people do the problem solving. Our robots work with people in the messy world of warehouse loading docks, reducing the real physical pain of unloading trucks and containers radically amplifying what each person can accomplish. 
+
+Founded by an exceptional cast of robotics and machine learning experts, Pickle creates robots that work alongside people in the very messy world of the loading dock, reducing the backbreaking human effort that goes into getting your online orders to your door. 
+","About this role:Pickle is on the hunt for a dynamic and driven Senior Machine Learning Engineer to push the boundaries of robotic AI and machine learning in industrial automation. This role is deeply R&D-focused, working on prototyping, developing, and refining machine learning models that power our next-generation robotic unloading solutions. You will explore, design, and implement cutting-edge AI/ML algorithms for robotic perception, decision-making, and adaptive control in warehouse automation environments.What you'll Accomplish:Research, prototype, and develop AI-driven models for robotic manipulation, grasping, and object interactionDesign and optimize Classical ML / deep learning and reinforcement learning (RL) models for robotic control and decision-makingDevelop simulation-driven ML pipelines, integrating synthetic data, real-world sensor data, and reinforcement learningWork with different learning models, including Large Language Models (LLMs), transformer-based architectures, and generative AI to enhance robotic intelligenceCollaborate with robotics engineers, software developers, and mechatronics teams to integrate ML models into real-world robotic systemsDesign and implement scalable ML frameworks for real-time robotics applicationsConduct model evaluation, benchmarking, and performance tuning to improve accuracy, robustness, and generalizationDevelop and maintain data pipelines, including sensor data collection, annotation, and preprocessing for AI model trainingExperiment with foundation models and generative AI for robotics applicationsWork with physics-based simulators (Isaac Sim, Mujoco, PyBullet, Gazebo, DRAKE) to train and validate ML modelsWho you are:5+ years of experience in machine learning, deep learning, or reinforcement learning for roboticsHands-on experience with robotic perception, motion control, and adaptive decision-making modelsStrong background in ML model development, training pipelines, and real-world deploymentExperience in R&D environments, rapidly prototyping and iterating on AI modelsFamiliarity with robotics simulation environments and synthetic data generationStrong understanding of multi-modal sensor fusion (LiDAR, depth cameras, IMUs) and time-series modelingExperience working with different AI models, including LLMs, generative AI, diffusion models, and reinforcement learning algorithmsProgramming: Proficiency in Python, C++, and experience with robotics frameworks (ROS2, PyTorch, TensorFlow, JAX, OpenCV).ML Techniques: Deep learning (CNNs, Transformers), reinforcement learning (PPO, SAC, DDPG), and self-supervised learningSimulation & Modeling: Experience with physics-based simulation tools (Isaac Sim, Mujoco, Gazebo, PyBullet).Data Processing: Expertise in large-scale dataset curation, sensor fusion, and distributed ML pipelinesOptimization & Deployment: GPU acceleration, CUDA, TensorRT, and real-time model optimizationExperience with edge AI and deploying ML models on embedded robotics platformsBackground in multi-agent reinforcement learning (MARL) for robotic coordinationUnderstanding of generative AI (Diffusion Models, Transformers) applied to robotic environmentsExperience with foundation models and fine-tuning large-scale pretrained ML models for roboticsPassionate about AI for robotics and solving hard, real-world problemsStrong R&D mindset, excited about prototyping and pushing AI innovationSelf-driven, curious, and thrives in an experimental, fast-paced environmentEffective collaborator, able to work cross-functionally with robotics and software teamsWilling to work onsite at our Cambridge,MA office atleast 3 days a week About Pickle RobotPickle Robot is a pioneer in Physical AI for supply chain applications. Today Pickle robots autonomously unload trucks, trailers, and import containers at human-scale or better performance. The alternative is manual work that is difficult, dirty, sometimes dangerous, and increasingly hard to staff at distribution centers around the globe. Pickle Robot is laser focused on automating truck unloading using generative AI, machine learning, computer vision, advanced sensors, and industrial robotics to deliver engineered products customers rely on. Pickle Robot Unload Systems work alongside people on loading docks to make the work safer, faster, and more efficient. Pickle robots are physical AI that unload trucks.Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive.",Not Applicable,Senior Machine Learning Engineer
+430,2025-03-11,.,.,Evolve Group,http://www.evolvegrp.io,"Uncovering alpha in Quant Talent.
+
+Evolve is a strategic talent partner to several of the highest performing hedge funds, investment banks and asset managers globally. We are their go to force multiplier for Quantitative and trade technology talent. 
+
+By solving one of the hardest challenges of today - Talent -  we create a competitive advantage for our clients. Leveraging best in class tools, tech and outreach we discover and secure some of the best technical minds in the world. 
+
+We provide Search, Multi-hire and TaaS solutions globally. We believe the key to success lies in building great teams hence - People is our strategy. 
+
+
+Specialisms: High-Frequency Trading, Quantitative Development, Quantitative Research, Systematic Trading, Low Latency infrastructure, Algorithmic Trading, Fintech, Hedge Funds, Prop Trading, Electronic Trading, Market Making, Quantitative Development, Quantitative Research, C++, Low-Level, FX, Futures, Fixed Income, Equities, Commodities.","Machine Learning EngineerTrading FirmNew York City$350,000 - $750,000 total compWe're currently working on behalf of a world leading trading firm who are looking for experienced Software Engineers with strong experience building ML systems and infrastructure to work along side the research team to implement cutting-edge ML algorithms into their trading strategies.They're looking for engineers with experience building systems from scratch in Python and building data pipelines for large amounts of real time data. As an engineer, you will be working with a dynamic team that includes some of the brightest minds in the field of quantitative trading.This is an exciting opportunity to work with a company that values talent, innovation, and autonomy. You will be challenged with new and exciting problems daily and given the opportunity to work with some of the best engineers in the industry.Required experienceBachelor's degree or higher in Computer Science, Mathematics or a related field with strong academic performance5+ years experience working on distributed systems in PythonExperience building ML infrastructure and data pipelinesPrevious experience building from scratch and the ability to take a project from start to finish with autonomyExcellent communication skills and the ability to work with cross functional teamsStrong problem-solving skills and the ability to work autonomously in a fast-paced environmentThe ability to mentor and guide, and develop junior Engineers",Mid-Senior level,Machine Learning Research Engineer
+431,2025-04-02,Beaverton,OR,Nike,nike.com/careers,"NIKE, Inc. is a purpose-driven organization energized by a shared commitment to move the world forward through the power of sport. We champion diversity and amplify individual passions to bring inspiration and innovation to every athlete* in the world.  
+
+Here, every teammate has a role to play. We work together, embracing our differences and pushing boundaries, to achieve collective success. For more information on how you can contribute to a world-class team, visit our career site at nike.com/careers and join our talent community at https://nikeats.avature.net/niketalentcommunity. ","Software Engineer - NIKE. Inc. - Beaverton, OR. Contributes to system design, capacity planning, operations, maintenance, implementation and sustainment activities across development, staging and production environment; provides support of our applications including escalation and system performance of production platforms, and perform systems analysis and tuning to ensure optimal operating systems response for multi-user applications; leads technical development of Digital Product(s) that meets the consumer needs as defined by product managers and aligns with architectural standards; develops, codes/configures, tests programs/systems and solutions problems in order to meet defined digital product specifications and direction; assesses a well-defined problem and leads the development of a technical solution that meets the needs of the business and aligns with architectural standards; manages small- to moderate-sized solutions, or plays a key role on larger teams, working within the parameters of two to three sprints; provides direction to team members and/or vendors; advises product owners on discrete technology-related business problems; formulates options, including assessing their relative merits and risks; and works with product owners to determine the best solution. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.Must have a Bachelor’s degree in Computer Science, Physics or Management Information Systems and Five (5) years of progressive post baccalaureate experience in the job offered or related computer occupation.Experience Must IncludeTeradata Snowflake AWS cloud infrastructure Unix/Linux PL/SQL, ANSI SQL, Teradata SQL, and Teradata SPL Informatica ETL Tableau and Cognos reporting JIRA project management Unix shell scripting ServiceNow incident and change management tool Data warehouse query performance tuning Apply at www.jobs.nike.com (Job# R-47110)We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.",Entry level,Software Engineer
+432,2025-03-27,Broomfield,Colorado,DigitalOcean,https://www.digitalocean.com,"DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean helps developers at startups and growing digital businesses rapidly build, deploy and scale, whether creating a digital presence or building digital products. DigitalOcean combines the power of simplicity, security, community and customer support so customers can spend less time managing their infrastructure and more time building innovative applications that drive business growth.","We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems.Key ResponsibilitiesDevelop, test, and implement predictive models and machine learning algorithms to solve business challenges.Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools.Design and execute experiments (A/B testing, causal inference, etc.) to measure the impact of business initiatives.Collaborate with stakeholders to translate business questions into data science problems and communicate findings effectively.Build and maintain data pipelines and ETL processes to ensure data quality and availability.Present data-driven recommendations to executives and cross-functional teams in a clear and actionable manner.Stay updated on the latest advancements in data science, machine learning, and AI.QualificationsMaster’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.3+ years of experience in data science, analytics, or a similar role.Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.Solid experience with SQL for querying and managing structured data.Knowledge of machine learning, statistical modeling, and optimization techniques.Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.Ability to communicate complex findings to non-technical stakeholders in a clear, concise manner.Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).Familiarity with business intelligence, marketing analytics, or financial forecasting is a plus.Preferred SkillsExperience in causal inference, econometrics, or Bayesian methods.Hands-on experience with ML Ops, model deployment, or data engineering workflows.Understanding of business metrics, growth strategies, and financial modeling.Ability to work in a fast-paced, cross-functional environment.Why You’ll Like Working for DigitalOceanWe innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.We reward our employees. The salary range for this position is $165,000 - $195,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.This is a remote role",Mid-Senior level,Data Scientist
+433,2025-03-27,San Francisco,California,Together AI,https://together.ai,"Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models. We believe open and transparent AI systems will drive innovation and create the best outcomes for society.","RoleTogether AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and effectively at scale. If you are passionate about AI inference, PyTorch, and developing high-performance systems, we want to hear from you. This position offers the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solutions. Join us in shaping the future at Together AI!ResponsibilitiesDesign and build the production systems that power the Together AI inference engine, enabling reliability and performance at scale.Develop and optimize runtime inference services for large-scale AI applications.Collaborate with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.Conduct design and code reviews to ensure high standards of quality.Create services, tools, and developer documentation to support the inference engine.Implement robust and fault-tolerant systems for data ingestion and processing.Requirements3+ years of experience writing high-performance, well-tested, production-quality code.Proficiency with Python and PyTorch.Demonstrated experience in building high performance libraries and tooling.Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale.Preferred: Knowledge of existing AI inference systems such as TGI, vLLM, TensorRT-LLM, OptimumPreferred: Knowledge of AI inference techniques such as speculative decoding.Preferred: Knowledge of CUDA/Triton programming.Nice to have: Knowledge of Rust, Cython and compilers.About Together AITogether AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society. Together, we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI. Our team has been behind technological advancements such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey to build the next-generation AI infrastructure.CompensationWe offer competitive compensation, startup equity, health insurance, and other competitive benefits. The US base salary range for this full-time position is $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level, and role. Individual compensation will be determined by experience, skills, and job-related knowledge.Equal OpportunityTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunities to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.Please see our privacy policy at https://www.together.ai/privacy",Entry level,Machine Learning Engineer - Inference
+434,2025-04-09,Frisco,TX,Ho2 Systems LLC,http://www.ho2systems.com,"Ho2 Systems provide consultants to organizations seeking to augment its information technology staff, offer corporate and career-focused computer software training courses.","Job Summary:We are seeking a highly skilled Data Scientist (Big Data Engineer) to support the implementation of a Fraud Analytics roadmap. This individual will play a key role in establishing new data engineering practices, collaborating with data scientists and analysts, and building scalable, reliable data pipelines that drive analytical insights and fraud detection capabilities.The ideal candidate will be a senior-level data engineering expert with a strong foundation in Python and SQL, and hands-on experience working in cloud environments—preferably Databricks on Azure.Responsibilities:Design, build, and maintain robust, scalable, and high-performance data pipelines and workflows.Collaborate with data analysts and data scientists to support their data and modeling needs.Implement best practices in data integration, transformation, and storage.Support the development and deployment of analytics models used in fraud detection.Optimize data solutions for performance, scalability, and reliability in a cloud-based environment.Provide guidance and leadership in standing up new data engineering practices across the team.",Mid-Senior level,Data Scientist (Big Data Engineer)
+435,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+436,2025-02-25,Seattle,Washington,Common Room,https://commonroom.io/?utm_source=linkedin,"Common Room helps GTM teams know who to target, when to engage, and how to convert through sophisticated signal capture, person and account identification and enrichment, and AI-powered activation agents. ","About UsCommon Room is the customer intelligence platform that captures every buying signal, giving companies superpowers with AI enrichment and automation to reach the right person with the right context at the right time.Despite an explosion of buyer signals, companies are left struggling with siloed point solution vendors, bloated tech stacks, and unactionable ""intent"" data. Common Room brings together all the buying signals you care about in one place so you can track the entire customer journey, match signals to real people and accounts, take action and automate.We’ve raised over $50 million from top-tier investors including Greylock, Index, and Madrona to build the world's first customer intelligence platform for modern B2B companies. And we’re backed by 25+ operators from the fastest-growing companies in the world such as Figma, Stripe, Airtable, Slack, Notion, Loom, and more.You + Common Room? You’d be joining a team that revels in asking hard questions, collaborating gladly, and making decisions quickly—a team that values simplicity, passion, trust, each other, and our customers above all.So hello! Please, knock on our door. We'd love to meet you.Why we need you:Your ability to work at the intersection of data science and software engineering while collaborating directly with customers and their data is your superpower. You’re able to leverage your strong statistical foundation to understand business needs, and to help derive meaningful insights from large amounts of data. You’re comfortable running one-off data assessments or building ML-based scoring models using data - customer obsessions is your north star as you dive deep into problems and propose novel solutions.Outside of this, you also identify and participate in important company-building initiatives that a fast growing startup needs.You would enjoy being a member of our team if you:Have 3+ years of experience building data or/or ML-based models leveraging industry best practices. Have exceptional SQL skills and experience with large-scale data transformation. Can shape the future of Common Room’s data capabilities by integrating data science into our product development process. Partner with customers to solve unique data challenges to optimize their workflows, and validate methodologies to develop pragmatic, scalable solutions for customers. Partner with the product team to convert data insights into product improvementsDon’t hesitate to dive into unfamiliar data and shape it to a familiar form that can be manipulated and reasoned on, and capable of making high quality technical and non-technical tradeoffsOperate independently, but don’t hesitate to seek help and support from those around you to get your job doneRevel in your craft, are excited by and capable of owning large projects primarily in the front-end domainBring your authentic self to work, and engage in candid + respectful feedbackBuild sustainably, and are capable of managing your time and priorities as best suits your needsEnjoy the journey as much as the destination, but never lose sight of the destinationDemonstrate pride, ownership, and accountability for your work, and expect the same from those you work withOur current tech stack:We choose tools that help solve the problem at hand efficiently. For our current set of problems, we prefer to primarily use TypeScript with Node.js. We use TypeGraphQL for our API endpoints, Kafka for event processing, Apollo/Express as our web server, and Postgres (hosted on RDS) + ClickHouse as our database. We use React for front-end, and AWS for our infrastructure needs. Our data is house in Snowflake, and use Python for data related work. We have infrastructure capable of running ML-models on AWS SageMaker or other platforms.Our values:Be Customer-centric - We work backwards from the needs of our customers. The crisp articulation of customer value guides our decisions. Strive for Simplicity - We choose simplicity over complexity whenever possible. We seek to identify and understand the essential quality of what we are building. Make it Happen - We are quick to take the first step, and prioritize decisiveness over fear of making a mistake. We don’t confuse motion for movement and we measure ourselves on impact over actions. We’re In this Together - We measure personal success by the success of our customers and teammates. Relationships matter, and the strongest ones are built on the foundations of trust, enablement, and transparency. Our benefits:Our investment in caring for our employees and their families is a key part of our values and culture at Common Room:Competitive base compensation with meaningful equity ownershipHealth insurance including medical, dental, and vision, HSA and FSAWe pay 100% of your employee premium and 50% of your premium for any dependentsUnlimited Paid Time OffPaid Company HolidaysWork from home policy including a laptop and support for your home office needsMonthly Remote Stipend401(k) self contributionPaid Family LeaveOpportunity to join a diverse, passionate, and fun team at a pivotal time in the company’s lifecycleCommon Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.",Entry level,Data Scientist / Engineer
+437,2025-04-03,Somerset,New Jersey,Smart IT Frame LLC,http://www.smartitframe.com,"Smart IT Frame stands as a leading NMSDC-certified IT Solutions and Servicing company, founded in 2012 with headquarters in Somerset, New Jersey. Our commitment to promoting Diversity, Equality, and Inclusion (DEI) values is unwavering. With our expertise, we support client initiatives by offering innovative IT solutions and services to leading System Integrators in the private and public sectors.
+
+Specializing in a comprehensive range of end-to-end services, including Artificial Intelligence (AI), Machine Learning (ML), IT Innovation and solutions, Cloud-based solutions, robotics process automation (RPA), cybersecurity, Identity Access Management (IAM), and more, to ensure cutting-edge solutions for our clients.
+
+Since our establishment, we've dedicated ourselves to providing exceptional services globally. Our success stories span across various industries, including banking and finance, insurance, healthcare, retail, telecommunications, manufacturing, and more.
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+Collaborating with Smart IT Frame ensures expert, top-notch services and dedicated support from a team committed to driving your success. We strive to exceed client expectations, fostering long-term relationships built on trust, reliability, and exceptional results.","ML Ops EngineerAustin, TX - (Hybrid) (3-4 days Onsite a week) FTE Only Contractor will provide suitable personnel to perform the ML Engineer role: • 10+ years’ experience• Work and collaborate with data science and engineering teams to deploy and scale models and algorithms. • Operationalize complex machine learning models into production including end to end deployment.• Understand standard Machine Learning algorithms (Regression, Classification) & Natural Language processing concepts (sentiment generation, topic modeling, TFIDF) .• Working knowledge of standard ML packages like scikit learn, vader sentiment, pandas, pyspark.• Design, Develop and maintain adaptable data pipelines to maintain use case specific data.• Integrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.• Develop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversight's model review cadence.• Support the operationalized models and develop runbooks for maintenance.",Mid-Senior level,Machine Learning Engineer
+438,2025-03-31,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Machine Learning Engineer to join our team. You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment and catalog system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You will report to the engineering manager on our New Verticals ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building.Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - New Verticals
+439,2025-04-01,London,,LumaBio Partners,www.Lumabiopartners.com,"Your trusted partner for life sciences talent. 
+
+LumaBio Partners provides bespoke recruitment strategies exclusively for the biotechnology sector, covering every phase of drug development. 
+
+With over a decade of recruitment experience placing candidates in over 26 countries, Joseph Emmott founded LumaBio Partners to enhance global health by connecting innovative biotech companies with exceptional talent. 
+ 
+LumaBio Partners does this by offering recruitment services that have been developed to support the evolving culture and ever-changing landscape of dynamic biotechs. We collaborate with organisations as an extension of HR and talent acquisition teams, immersing ourselves in your culture and providing comprehensive strategies that drive success.  
+ 
+We go beyond traditional recruitment approaches and provide you with the insights and support needed to secure high-quality talent at every level. 
+","We are currently building a Global Data Science team for a Global Infectious Disease company. We are looking for 1 Data Science Contractor to help support the project.You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.ResponsibilitiesAnalyze raw data: assessing quality and cleansingDesign accurate and scalable prediction algorithmsCollaborate with engineering team to bring analytical prototypes to productionGenerate actionable insights for business improvementsQualificationsBachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)At least 2 - 3 years' of experience in quantitative analytics or data modelingDeep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithmsFluency in a programming language (Python)Familiarity with Big Data frameworks and visualization tools.",Mid-Senior level,Data Scientist
+440,2024-12-11,San Francisco,California,sync.,https://synclabs.so/,"We’re a team of artists, engineers, and researchers building controllable AI video editing tools to unbound human creative potential.
+
+Our research team builds AI video models to understand and affect fine-grained, controllable edits on any human in any video. Our product team makes these models accessible to everyone from everyday people, professional editors and animators, developers, and businesses large or small to reach new audiences and tell outstanding stories.
+
+Our technology is used to automate lip-dubbing in localization processes in entertainment, create dynamic marketing campaigns personalized to individuals or communities, animate new characters to life in minutes instead of days, fix mistakes in post-production by making word-level edits to avoid rerecording entire scenes, and more – this is just the beginning.
+
+In the last 12 months we graduated at the top of our YC batch (W24), raised a $5.5M seed backed by GV, won the AI grant from Nat Friedman and Daniel Gross, scaled to millions in revenue – and we're only just getting started.
+
+For more information, visit https://synclabs.so/","About Sync.sync. is a team of artists, engineers, and scientists building foundation models to edit and modify people in video. Founded by the creators of Wav2lip and backed by legendary investors, including YC, Google, and visionaries Nat Friedman and Daniel Gross, we've raised 6 million dollars in our seed round to evolve how we create and consume media.Within months of launch our flagship lipsync API scaled to millions in revenue and powers video translation, dubbing, and dialogue replacement workflows for thousands of editors, developers, and businesses around the world.That's only the beginning, we're building a creative suite to give anyone Photoshop-like control over humans video – zero-shot understanding and fine-grained editing of expressions, gestures, movement, identity, and more.Everyone has a story to tell, but not everyone's a storyteller – yet. We're looking for talented and driven individuals from all backgrounds to build inspired tools that amplify human creativity.About The RoleWe're seeking an exceptional ML Engineer to expand the boundaries of what's possible with AI video manipulation. You'll work with the creators of Wav2lip to build and extend computer vision pipelines giving users unprecedented control over humans in video.What You'll DoCreate novel CV features that unlock new forms of video manipulationBuild ML pipelines that understand and modify humans in videoTransform research breakthroughs into production capabilitiesDesign systems that make complex AI feel like magic to usersPioneer new approaches to fine-grained video controlWhat You'll Need5+ years implementing computer vision and ML systems that users loveDeep expertise in PyTorch and video processing pipelinesTrack record of shipping novel ML features from concept to productionAbility to bridge cutting-edge research with practical applicationsStrong collaboration skills across research and engineering teamsPreferred QualificationsExperience with face/human detection and trackingBackground in generative AI or video understandingHistory working with large-scale video datasetsOpen source contributions to CV/ML projectsOur goal is to keep the team lean, hungry, and shipping fast.These Are The Qualities We Embody And Look For[1] Raw intelligence: we tackle complex problems and push the boundaries of what's possible.[2] Boundless curiosity: we're always learning, exploring new technologies, and questioning assumptions.[3] Exceptional resolve: we persevere through challenges and never lose sight of our goals.[4] High agency: we take ownership of our work and drive initiatives forward autonomously.[5] Outlier hustle: we work smart and hard, going above and beyond to achieve extraordinary results.[6] Obsessively data-driven: we base our decisions on solid data and measurable outcomes.[7] Radical candor: we communicate openly and honestly, providing direct feedback to help each other grow.",Entry level,Machine Learning Engineer
+441,2025-04-07,San Francisco,CA,Instacart,https://www.instacart.com,"Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop. The company partners with more than 1,500 national, regional, and local retail banners to facilitate online shopping, delivery and pickup services from more than 85,000 stores across North America on the Instacart Marketplace. Instacart makes it possible for millions of people to get the groceries they need from the retailers they love, and for approximately 600,000 Instacart shoppers to earn by picking, packing and delivering orders on their own flexible schedule. The Instacart Platform offers retailers a suite of enterprise-grade technology products and services to power their e-commerce experiences, fulfill orders, digitize brick-and-mortar stores, provide advertising services, and glean insights. With Instacart Ads, thousands of CPG brands – from category leaders to emerging brands – partner with the company to connect directly with consumers online, right at the point of purchase. With Instacart Health, the company is providing tools to increase nutrition security, make healthy choices easier for consumers, and expand the role that food can play in improving health outcomes. For more information, visit www.instacart.com/company. ","We're transforming the grocery industryAt Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.OverviewWe are looking for economists and machine learning engineers to join our fast-moving team. The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making.There is tremendous opportunity in front of us, and joining now gives you a chance to grow your career and interests as we succeed.About The RoleThe ideal candidate for this role will bring a combination of experience in both economics and machine learning. This might be a recent economics PhD graduate with relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to machine learning coursework and applications. We are also interested in candidates with industry experience in the creation, deployment, and maintenance of machine learning models at scale, especially if they have some background or experience in economics or an economics-adjacent field. More senior candidates are also welcome to apply. About The TeamThe Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.About The JobYou will help design and build end-to-end machine learning solutionsYou will be working in small and cross-functional product teams, with great opportunities for growth and ownership of projectsYou will be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and research across many domainsYou will develop high impact solutions to support Instacart's ambitious growth plansYou will work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experimentsYou will have the freedom to suggest and drive organization-wide initiatives ABOUT YOU This section must have two lists: Minimum & PreferredMinimum QualificationsGraduate-level research experience on data-intense problems or 1+ years of industry experience in machine learning or economics-focused roles.A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.Expertise in causal inference with observational and experimental data.Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality.Willing and able to travel internationally based on job requirementsSelf-motivation and a strong sense of ownershipPreferred QualificationsPhD in Economics with focus on data-intense problems or 3-5 years of industry experience in machine learning or economics-focused roles.A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one.Expertise in causal inference with observational and experimental data.Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality.Willing and able to travel internationally based on job requirementsSelf-motivation and a strong sense of ownershipNice to have: Experience with training large-scale models and model deployment on cloud services (Docker, AWS/GCP/Azure).Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.For US based candidates, the base pay ranges for a successful candidate are listed below.CA, NY, CT, NJ$179,000—$199,000 USDWA$172,000—$191,000 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$165,000—$183,000 USDAll other states$149,000—$165,000 USD",Entry level,"Machine Learning Engineer II, Economist"
+442,2025-04-01,Houston,Texas,Tekmetric,https://www.tekmetric.com/,"Tekmetric, a leading auto repair technology company, improves auto repair shops through the relentless pursuit of innovation. Tekmetric’s cloud-based shop management solution, including a shop management system, integrated payments, technology integrations and real-time data, empowers auto repair shops nationwide. With Tekmetric, shop owners can create transparency, enhance productivity, increase profitability, and deliver a superior customer experience for vehicle owners. ","About TekmetricTekmetric is a cloud-based auto-repair shop management system with an easy-to-use workflow and a modern approach to customer care. Tekmetric champions transparency, integrity, innovation—and above all—a service-mentality that puts customers first.Founded in Houston, Texas in 2015, Tekmetric has been providing reliable, fast customer service to shops from day one. Our team is growing quickly, but our service philosophy of listening to customers still remains a core value.We’re looking for hungry candidates to help us strengthen our industry-leading team. We’re building our software to be more intuitive. We’re building more integrations that make our customers’ lives easier. We’re building better internal processes to make our globally distributed organization run more smoothly. We’re building stronger relationships with the best and brightest partners in our industry.Our customers love our products. We love serving them. And we love the journey we’re on together.Come build with us!What You’ll DoWe are looking for a Machine Learning Engineer specializing in NLP, document classification, and large-scale data processing. You will work on applying LLMs, NLP, and ML techniques to categorize and process extracted data. Your work will power an intelligent search system and help organize massive amounts of structured and unstructured information.Develop and train NLP & ML models for document classification, text extraction, and entity recognition.Experiment with LLMs (GPT, Llama, Claude, etc.), embeddings, transformers, and vector databases.Build pipelines that combine rule-based methods with ML models for classification.Apply OCR techniques to extract structured data from PDFs and scanned documents.Fine-tune and optimize models for scalability, latency, and cost-efficiency.Deploy ML models in production using Kubernetes, AWS (SageMaker, Lambda, EMR), and Airflow.Collaborate with data engineers to integrate ML models into search APIs and data pipelines.Utilize Spark (EMR) or distributed computing for large-scale ML processing.What You’ll Bring3+ years of experience in Machine Learning & NLP.Strong Python skills and experience with ML/NLP frameworks like Hugging Face, spaCy, NLTK, TensorFlow, PyTorch etc.Familiarity with transformer-based architectures (BERT, GPT, T5, etc.).Experience with text classification, embeddingsKnowledge of OCR (Tesseract, Amazon Textract, or OpenCV-based techniques).Hands-on experience with AWS services, Kubernetes, and workflow orchestration (Airflow).Strong understanding of information retrieval, search ranking, and ElasticSearch/OpenSearch.Nice to HaveExperience fine-tuning LLMs for domain-specific applications.Experience with RAG and vector databases (FAISS, Pinecone, Weaviate, Vespa, etc.).Working knowledge of knowledge graphs, embeddings, or multimodal ML.Experience optimizing ML models for real-time processing in production environments.Who You AreSuccessful candidates will also demonstrate many of the characteristics that our core values represent:Build things that matter: You have a love of building something new or improving on current processes and care about making a positive difference.We’re all entrepreneurs: You love learning new things and are comfortable working in a startup-like, dynamic environment -- moving quickly, even in the face of ambiguity. You are a self-directed leader who can jump in, structure their own work, and figure out how best to execute a plan yourself and with others. At Tekmetric our leaders are all players and coaches.Yes before no: You keep an open mind and are excited about new ideas and helping others actualize their ideas. You are intellectually curious and analytical in a strategic context.We matter to each other: You care about people and see the success of one is success for us all. You are a highly ethical individual with unquestioned integrity and the experience, confidence, and stature to protect confidential information in a growing company.What We OfferHealthcare Insurance and Leave:Flexible and remote work opportunitiesGenerous PTOExceptional leave programs for all of life’s moments: maternity, paternity and parental bonding, as well as medical leave to care for yourself or loved onesExcellent Medical, Dental, Vision and Prescription Drug CoverageFinancial Benefits401(k) Retirement Savings Plan with a 6% MatchEmployer covered STD, LTD, Life and AD&D Insurance ProgramsUp to $60 monthly for wellness expenses and activitiesEducation Assistance- includes undergraduate/graduate courses and continuing educationMost importantly, we have a stellar team of coworkers, a really cool office, and lots of fun activities!Tekmetric is an equal opportunity employer. We hire hard working individuals, regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status. We know that when our employees feel appreciated and included, they can be more creative, innovative and successful.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.",Entry level,Machine Learning Engineer
+443,2025-04-08,Mclean,VA,Technology Ventures,http://www.tventures.net,"Technology Ventures is a leading technology services company delivering a broad portfolio of business and technology solutions and staffing to help its clients improve their business performance. Our core portfolio comprises information-technology staffing, software applications and business process outsourcing services to clients in the financial services, healthcare, communications, consumer and retail industries and to governments.","Focused on manipulating data in a software engineering capacity. Some of that data might live in relational systems, but its increasingly moving towards NoSQL systems and data lakes. Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information. Construct datasets that are easy to analyze and support company requirements. Combine raw information from different sources to create consistent and machine-readable formats. Skills: This IT role requires a significant set of technical skills, including a deep knowledge of SQL, data modeling, and tools like Spark/Hive/Airflow. Education/Work Experience: 1) Bachelor degree in Computer Science, Information Systems or related field 2) Post-graduate degree desired 3) Professional certification(s) desired 10+ years relevant experience",Mid-Senior level,Machine Learning/AI Engineer
+444,2025-04-01,Deerfield,IL,Walgreens,http://www.walgreens.com,"Walgreens (www.walgreens.com) is included in the U.S. Retail Pharmacy Segment of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global leader in retail pharmacy. As America’s most loved pharmacy, health and beauty company, Walgreens purpose is more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving approximately 9 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with platforms bringing together physical and digital, supported by the latest technology to deliver high-quality products and services in local communities nationwide.","Job SummaryAs a Senior Machine Learning Engineer, you will play a pivotal role in driving the development, deployment, and scaling of machine learning models and systems. You will be involved in complex machine learning initiatives, mentor junior and intermediate engineers, and collaborate closely with engineering, product, and data science teams. With your deep expertise in ML engineering and a focus on best practices, you’ll ensure that our solutions are robust, scalable, and aligned with business goals. You will also drive improvements in deployment practices, including API integration, CI/CD pipelines, and container orchestration using modern technologies.Job ResponsibilitiesDevelops software that processes, stores and serves data and machine learning models for use by others.Develops large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and intelligence to support business needs.Writes ETL (Extract / Transform / Load) or ELT processes, designs data stores and develops tools for real-time and offline analytic processing on premise or on cloud infrastructure.Develops and maintains optimal data pipelines into the ML and advanced analytics platform, including design of data flows, procedures, and schedules. Ensures that optimal data pipelines are scalable, repeatable and secure.Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.Anticipates and prevents problems and roadblocks before they occur.Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.Collaborates with AI/ML scientists and data scientists to prepare data for model development, and to deploy models to production.About WalgreensFounded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations, and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni-channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients’ care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions.Bachelor's degree and at least 4 years of experience in machine learning, software engineering, or data engineeringDeep knowledge of SQLSignificant experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or JavaExperience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.Experience presenting to all levels of an organizationAt least 2 years of experience contributing to financial decisions in the workplaceAt least 2 years of direct leadership, indirect leadership and/or cross-functional team leadershipWilling to travel up to 10% of the time for business purposes (within state and out of state).Graduate degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering.Strong experience designing and implementing monitoring and alerting systems for cloud-based applications, including log management and analysis tools (e.g., ELK stack, Splunk).Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services, as well as deploying ML models at scale in production using open-source tools (e.g., Kubeflow, Seldon).Proficiency in CI/CD practices for AI/ML model development and deployment, with experience using tools such as Azure DevOps, Tekton, or GitHub Actions.Experience with Infrastructure as Code (IaC) tools, particularly Terraform.Familiarity with DAG-based workflow orchestration systems (e.g., Airflow, Prefect) and data processing pipelines using Apache Spark or Databricks.Experience working with ML registries (e.g., MLFlow) and deploying event-driven or reactive ML applications.Strong background in deploying and maintaining ML systems for both batch and streaming data.Expertise in troubleshooting distributed systems, optimizing performance, and reducing costs in cloud environments.Proficient in writing and deploying production-grade Python applications and libraries.Experience with REST API development and configuring Kubernetes in multi-tenant environments.We will consider employment of qualified applicants with arrest and conviction records.$127500 - $204000 / SalariedBasic QualificationsBachelor's degree and at least 4 years of experience in machine learning, software engineering, or data engineeringDeep knowledge of SQLSignificant experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or JavaExperience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.Experience presenting to all levels of an organizationAt least 2 years of experience contributing to financial decisions in the workplaceAt least 2 years of direct leadership, indirect leadership and/or cross-functional team leadershipWilling to travel up to 10% of the time for business purposes (within state and out of state).Preferred QualificationsGraduate degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering.Strong experience designing and implementing monitoring and alerting systems for cloud-based applications, including log management and analysis tools (e.g., ELK stack, Splunk).Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services, as well as deploying ML models at scale in production using open-source tools (e.g., Kubeflow, Seldon).Proficiency in CI/CD practices for AI/ML model development and deployment, with experience using tools such as Azure DevOps, Tekton, or GitHub Actions.Experience with Infrastructure as Code (IaC) tools, particularly Terraform.Familiarity with DAG-based workflow orchestration systems (e.g., Airflow, Prefect) and data processing pipelines using Apache Spark or Databricks.Experience working with ML registries (e.g., MLFlow) and deploying event-driven or reactive ML applications.Strong background in deploying and maintaining ML systems for both batch and streaming data.Expertise in troubleshooting distributed systems, optimizing performance, and reducing costs in cloud environments.Proficient in writing and deploying production-grade Python applications and libraries.Experience with REST API development and configuring Kubernetes in multi-tenant environments.We will consider employment of qualified applicants with arrest and conviction records.",Not Applicable,Senior Machine Learning Engineer I
+445,2025-03-09,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is seeking AI Software Engineers to join. The ideal candidate will have industry experience working on computer vision and NLP related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist in our era. We are hiring in multiple locations.Software Engineer, Computer Vision Responsibilities:Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiencesAssist in goal setting related to project impact, AI system design, and ML rigorDrive large efforts across multiple teamsMentor other AI Engineers and improve the quality of AI work in the broader teamDevelop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approachesApply in-depth knowledge of how the machine learning system interacts with the other systems around itMinimum Qualifications:Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, Machine Learning or artificial intelligenceBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or PythonPreferred Qualifications:Experience with distributed systems or on-device algorithm developmentExperience in deep learning and PyTorchExperience in language guided vision systemsAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Computer Vision"
+446,2025-04-09,Mountain View,CA,Google,https://goo.gle/3DLEokh,"A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
+
+Check out our career opportunities at goo.gle/3DLEokh","This role may also be located in our Playa Vista, CA campus.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Chicago, IL, USA; Mountain View, CA, USA; New York, NY, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.Minimum qualifications:Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.Experience with data science tech stack (e.g., Python) and database languages (e.g. SQL).Preferred qualifications:PhD degree in Computer Science, Statistics, or other relevant quantitative disciplines, or an equivalent amount of machine learning experience.Familiarity with reporting solutions, and visualization/dashboarding tools.Proven ability to translate ambiguous business needs into clear technical requirements for impactful data products.Ability to take initiative with excellent leadership and communication skills.Comfortable with engineering best practices, including developing BRDs/PRDs/Design Docs, code reviews, etc., ensuring analytical accuracy.About The JobWe are a data science team that use AI/ML to enable Google’s people analytics strategy. We build AI solutions that empower people analysts and leaders to make data-driven decisions, and inspire People Analytics to be on the cutting-edge. We achieve this through a culture of continuous learning, sharing, and growth.This is a unique opportunity at Google to be at the forefront of applying AI/ML to solve complex people-analytics challenges at a global scale. In this role, you'll leverage Google's people data and cutting-edge technology to develop and deploy innovative solutions that directly impact Googlers' lives. You'll also play a crucial role in shaping the future of people analytics by collaborating with cross-functional teams, upskilling colleagues in AI/ML, and fostering a data-driven culture within people operations. This role offers the chance to make a real difference in the lives of Googlers while contributing to the advancement of AI/ML in the HR domain.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .ResponsibilitiesDesign and implement robust data pipelines to collect, process, and transform complex and large data sets from various data sources.Develop various types of machine learning models, conducting model evaluation, and collaborating with engineering teams to deploy the models into a production environment.Develop and apply Natural Language Processing (NLP) models (such as sentiment analysis, topic modeling, etc.) to extract insights from unstructured text data.Collaborate with cross-functional teams within POps and HR Engineering organizations to understand the business problem, define project scope, gather the requirements, and develop ML solutions that address the problem effectively.Communicate technical concepts and findings to both technical and non-technical audiences, enabling POps stakeholders to make informed decisions about Googlers.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .",Not Applicable,"Business Data Scientist, AI Analytics"
+447,2025-04-01,Palo Alto,California,AI Fund,https://www.aifund.ai/,"Who is AI Fund? 
+
+We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence. 
+
+Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock.
+
+How Are We Different? 
+
+We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge. 
+
+We believe the best way to help entrepreneurs is  by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most. 
+
+Why Work With AI Fund? 
+
+Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success.
+
+We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.","About BasetenJoin our dynamic team at Baseten, where we’re revolutionizing AI deployment with cutting-edge inference infrastructure. Backed by premier investors such asTHE ROLEAs a Machine Learning Engineer specializing in Fine-Tuning at Baseten, you'll create exceptional value for customers by leveraging our world-class infrastructure to fine-tune large language models and/or other modalities, working directly with customers to achieve their specific goals. You'll build scalable pipelines, implement parameter-efficient techniques, and ensure a seamless transition to inference. This customer-facing role requires both technical expertise in foundation model adaptation and the ability to translate customer needs into effective solutions. You'll also help shape our product roadmap by identifying common patterns in customer requirements and working with product teams to develop reusable components and features , reducing the need for custom services and streamlining the fine-tuning process for everyone.ResponsibilitiesDesign comprehensive fine-tuning strategies that translate customer requirements into effective technical approaches—finding the optimal combination of data preparation, training techniques, and evaluation methods to deliver solutions that precisely address customer needsDevelop tools to enable non-ML experts to fine-tune models effectivelyDesign and implement scalable fine-tuning pipelines for large language models and other AI modalitiesWork directly with customers to understand requirements and guide technical implementationServe as the technical point of contact for customers throughout their fine-tuning journeyUtilize state-of-the-art parameter-efficient fine-tuning methods (LoRA, QLoRA)Build systems for efficient data preparation, evaluation, and deployment of fine-tuned modelsResearch and apply cutting-edge techniques in instruction tuning and model customizationCreate frameworks to evaluate fine-tuned model performance against base modelsImplement best-in-class distributed training techniques like FSDP and DDP across various hardware configurationsRequirementsBachelor’s degree in Computer Science, Engineering, or related field3+ years of experience in ML engineering with focus on model training and fine-tuningExperience with advanced fine-tuning frameworks such as Axolotl, Unsloth, Transformers, TRL, PyTorch Lightning, or Torch Tune, enabling efficient model adaptation and optimizationHands-on experience fine-tuning or pre-training LLMs or other foundation modelsExcellent communication skills for explaining complex concepts to varied audiencesNICE TO HAVEExperience working with customers to deliver technical solutionsTrack record of delivering ML projects to enterprise customersKnowledge of distributed training systems and efficiency optimization techniquesExperience with advanced alignment and adaptation techniques including RLHF, DPO, constitutional AI, prompt tuning, reinforcement learning with execution feedback, PPO, or other emerging alignment methodsKnowledge of prompt engineering and domain adaptation methodsContributions to open-source fine-tuning projects or toolsExperience building user-friendly interfaces for fine-tuning workflowsExperience with cloud platforms (AWS, GCP, Azure) and containerization technologiesBenefitsCompetitive compensation package (Flexible PTO, covered healthcare premiums for you and your dependents)A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our eraAn inclusive and supportive work culture that fosters learning and growthExposure to a variety of ML startups, offering unparalleled learning and networking opportunitiesApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.",Mid-Senior level,Machine Learning Engineer - Fine Tuning
+448,2025-03-17,San Diego,California,BICP,http://www.bicp.com/,"BICP is a technology agnostic and vendor neutral consulting firm focused on helping large enterprise customers derive the maximum business value from Advanced Analytics, Data Science and Innovation Platform investment. In a world of constant innovation and associated product hype it’s often a challenge to discern what solution is ‘real’ and which offers a quantifiable competitive advantage for your line of business. With our deep experience across a wide array of platforms, data management tools and business applications; coupled with our expertise supporting a variety of large cloud, on premise and hybrid environments, we have the required technical knowledge and product ambiguity to recommend and deliver an integrated solution aligned to your critical business data needs. ","BICP, a leader in the delivery of advanced, innovative AI & ML data products for large enterprise customers, is looking to hire a hyper-motivated AI/ML Data Engineer with at least 1 year of experience in Data Engineering, along with hands-on experience in Databricks and experience with at least 1 AI/ML project. This role is ideal for someone who is passionate about designing, building, and optimizing data pipelines for AI-driven applications.We are looking for an engineer that has experience in model serving/training across DBX/Azure/Bedrock with an understanding of LLM deployment at scale. This individual will showcase proficiency in model selection & deployment with a focus on observability and templatization of workflows. Engineer will understand how to deploy local models on DBX as well as integrate serving API endpoints for external models within the platform.As part of our team, you will work closely with Data Scientists, AI Engineers, and Software Developers to build scalable and efficient data infrastructure, enabling machine learning model development and deployment. Our long standing client is one of the largest, most iconic, fashion and apparel brands globally and is currently making substantial investments in industry defining technologies which you will be right in the center of.What you will supportDesign, develop, and optimize ETL/ELT pipelines to support AI/ML workloads.Implement data processing workflows on Databricks, leveraging Apache Spark for large-scale data transformations.Collaborate with Data Scientists to prepare and serve high-quality data for model training and inference.Develop and maintain data lakes, warehouses, and feature stores for AI applications.Ensure data reliability, security, and compliance with industry best practices.Optimize ML model deployment pipelines for scalability and efficiency.Work with cloud platforms like AWS, Azure, or GCP to integrate and manage AI/ML workloads.What you bring to the table1+ year of Data Engineering experience (ETL, Data Pipelines, SQL, Spark).Hands-on experience with Databricks/DBX (at least 1 project).Experience with AI/ML projects (Azure AI preferred), at least 1 project & understanding of ML workflows, feature engineering, and model deployment.Familiarity with TerraformPrior experience with JenkinsHands-on experience with Amazon BedrockStrong programming skills in Python Familiarity with SQL for data querying and optimization.Experience with cloud data services (AWS, Azure, or GCP).Nice-to-HaveKnowledge of MLOps tools and CI/CD pipelines for ML models.Experience with feature stores and model serving frameworks (MLflow, Kubeflow).Exposure to real-time data processing (Kafka, Spark Streaming).Experience with containerization (Docker, Kubernetes).Why Join Us?Opportunity to work on cutting-edge AI/ML applications.Hands-on experience with the latest cloud and big data technologies.A collaborative environment with opportunities for growth and mentorship.Competitive salary and career development programs.If you are eager to apply your data engineering skills in AI/ML and grow in a dynamic environment, we’d love to hear from you!*** Please note: We require candidates with the ability to be onsite in Beaverton, OR Monday – Friday. Accepting only candidates local or willing to relocate at their own expense.About BICPBICP is a consulting firm focused on delivering leading-edge AI/ML solutions to our customers. With deep experience across a diverse ecosystem of analytical products and cloud-based platforms we have the required product ambiguity and expertise to deliver best in breed solutions tailored to our client’s critical business data needs.BICP is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.",Associate,AI/ML Data Engineer
+449,2025-03-29,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamsE-commerce - Recommendation and MarketingE-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and research scientists that focus on E-commerce recommendations. We are responsible for building up and scaling our recommendation system to provide the most stable and best shopping experience for our TikTok users.E-commerce - AllianceThe E-commerce Alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.E-commerce - SearchThe Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world. Our mission is to build a world where ""there is no hard-to-sell good-priced product in the world"".E-commerce - Search GrowthThe Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where ""there are no hard-to-sell, overpriced products.""What You Will Do Responsible for the build and design of optimization algorithm strategies for large-scale (10 million to 100 million products or creators' contents) e-commerce recommendation algorithm pipeline Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently. Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. Design and build supporting/debugging tools as needed.QualificationsQualifications Bachelor above degree in computer science or relevant areas. 3+ years of experience with a solid foundation in data structure and algorithm design, and be proficient in using one of the programming languages such as Python, Java, C++, R, etc.; Familiar with common machine/deep learning, causal inference, and operational optimization algorithms, including classification, regression, clustering methods, as well as mathematical programming and heuristic algorithms; Familiar with at least one framework of TensorFlow / PyTorch / MXNet and its training and deployment details,as well as the training acceleration methods such as mixed precision training and distributed training; Familiar with big data related frameworks and application, those who are familiar with MR or Spark are preferredPreferred Qualifications Experience in recommendation systems, online advertising, ranking, search, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Recommendation - E-Commerce"
+450,2025-04-02,,,Altea Healthcare,http://alteahc.com,"ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. With a patient-centric approach, ALTEA Healthcare strives to enhance patient outcomes and improve the overall healthcare experience. ALTEAs expertise lies in connecting the various silos within outpatient healthcare, fostering collaboration, and integrating data for better coordination and streamlined workflows.
+
+ALTEA Healthcare offers a comprehensive range of services, including provider services, medical directorship, and advanced technology solutions tailored specifically for outpatient facilities and clinics. By combining skilled professionals, innovative technology, and a commitment to quality care!","Machine Learning Engineer, GenAIThis position requires candidates to work in-office at our Houston, TX location.ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. We are seeking a Machine Learning Engineer to join our team. The ideal candidate will have a strong background in deploying scalable GenAI models. As an important member of the AI team, this person will contribute significantly to designing, implementing, and deploying various AI/ML product features to improve care delivery and quality for post-acute patients.Responsibilities:Develop and deploy production-ready AI/ML models, with a focus on scalability and monitoring across a broad range of applications within healthcareWrite efficient, maintainable, and scalable Python codeCollaborate with machine learning scientists, data engineers, front end, back end developers to write production-ready codeSet up and maintain end-to-end pipelines including data ingress, egress, model inference, and model retrainingIncorporate feedback from cross-functional teams and refine the ML-driven applications through quick iteration cyclesMaintain best software engineering and MLOps practices within the healthcare industryDocument the system architecture, design decisions, and codebase to facilitate future maintenance and enhancementsKey Responsibilities and Qualifications:Proven experience in deploying, scaling, integrating, and maintaining generative AI applications.Strong understanding and experience in software engineering and MLOps best practicesExperience with unit testing and regression testing to ensure quality and stability.Preferred: Experience working with Azure DevOps, Azure App Services, and Azure Functions.Preferred: Experience with fine-tuning and pre-training language models and embedding models.Note: This role is specifically focused on the deployment and integration of generative AI applications. It is not intended for data scientists, individuals primarily focused on building dashboards, or those with experience limited to traditional ML models and model development.Other Requirements:Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent experienceAt least 1-2 years of relevant experience as an ML Engineer or software engineerExperience writing production-ready code, troubleshooting and bug fixingStrong proficiency in LangChain, vectorDB and cloud platforms (Azure)Experience with MLOps, monitoring, and CI/CDExperience with transformer-based models,NLP, LLM models, preferably for biomedical/healthcare applicationsStrong interest in healthcare, with preferred experience working with healthcare dataBonus: experience with RAG and AgentsAbility to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelinesCandidates should be able to articulate why they are looking to leave their current role and what they are seeking in a new opportunity.Visa and Sponsorship Information:Please note that Altea Healthcare does not offer sponsorship for work visas, visa transfers, or Corp-to-Corp (C2C) arrangements. Applicants must be authorized to work in the United States without sponsorship.Job Type: Full-timePay: Competitive pay, benefits, and extremely valuable startup stock optionsSchedule: Full TimeBenefits:Dental insuranceHealth insuranceVision insurance",Mid-Senior level,Machine Learning Engineer
+451,2025-04-09,Miami,Florida,Hut 8,https://hut8.com/,"Hut 8 Corp. (NASDAQ, TSX: HUT) is an energy infrastructure platform integrating power, digital infrastructure, and compute at scale to fuel next-generation, energy-intensive use cases such as Bitcoin mining and high-performance computing. 
+
+We take a power-first, innovation-driven approach to developing, commercializing, and operating the critical infrastructure that underpins the breakthrough technologies of today and tomorrow. Our platform spans 1,020 megawatts of energy capacity under management across 15 sites in the United States and Canada: five Bitcoin mining, hosting, and Managed Services sites in Alberta, New York, and Texas, five high performance computing data centers in British Columbia and Ontario, four power generation assets in Ontario, and one non-operational site in Alberta.","About Hut 8Imagine the ultimate destination for those who want to work at the cutting edge of technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the world’s largest data centers for next-generation computing workloads, including AI, Colocation, Cloud, and Bitcoin Mining. We are proud to offer interesting and challenging opportunities for individuals who want to build teams, solve problems, and make an impact from day one. If you’re an ambitious individual looking for a career that is as rewarding as it is challenging, you’ve come to the right place.About The RoleAs a Data Scientist, you will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights and support data-driven decision-making. You will work closely with cross-functional teams to develop machine learning models, algorithms, and statistical analyses to solve business problems and optimize processes. Additionally, you will be involved in data cleaning, data preprocessing, and data visualization tasks to ensure data quality and communicate findings effectively to stakeholders.Some of the key responsibilities you should expect are the following:Collect and preprocess data from various sources to ensure data quality and integrity. Develop and implement machine learning models, algorithms, and statistical analyses to extract insights and solve business problems. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.Conduct exploratory data analysis to identify trends, patterns, and outliers in the data. Communicate findings and recommendations to non-technical stakeholders through data visualization, reports, and presentations. Stay updated with the latest trends and advancements in data science and machine learning techniques.About YouMaster's degree in Computer Science, Statistics, Mathematics, or a related field (or a bachelor's degree with several years of work experience). Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Experience with machine learning algorithms, data mining, and statistical analysis. Excellent communication and teamwork abilities. Ability to work in a fast-paced and dynamic environment.About The Work EnvironmentThis role is in office at our corporate headquarters in the Brickell area of Miami, Florida. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.What Makes Hut 8 a Great Place To WorkHut 8 offers a benefits and wellness program that includes medical, dental, vision, life, and short-term and long-term disability insurance, as well as paid time off. We are proud to invest in building the best team in the industry. At all levels of the organization, we are driven by an entrepreneurial spirit, radical transparency, and relentless growth mentality.At Hut 8, You Will Have The Opportunity To▶ Work with bright, driven peers from a range of educational and professional backgrounds including software development, energy, engineering, entrepreneurship, investment banking, private equity, and management consulting▶ Design and pitch new products, services, and other initiatives to a leadership team consisting of serial entrepreneurs and seasoned executives and backed by a board of directors consisting of industry veterans of energy, finance, and government▶ Debate ideas and alternatives in a truly meritocratic setting where the learning curve is steep and the lessons come from both senior and junior members of the team▶ Build a lifelong network of friends and professional connections at the cutting-edge intersection of technology, energy, and infrastructure",Entry level,Data Scientist
+452,2025-04-03,Plantation,Florida,Chewy,http://careers.chewy.com,"At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. 
+
+We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
+
+We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
+
+At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
+
+Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
+
+We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
+
+We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.","Our OpportunityChewy is growing! The Enterprise People Analytics team at Chewy is building advanced AI and machine learning solutions to redefine HR decision-making. As a Machine Learning Engineer (MLE) focused on AI product development, you will design and deploy innovative machine learning models, mentor junior Team Members, and drive the production of scalable AI solutions that empower Chewy’s HR function.This role blends deep technical expertise, critical thinking, and a passion for solving complex HR challenges with machine learning and AI. You’ll collaborate with data scientists, engineers, and business intelligence guides to transition research into robust, business-aligned AI products. With a strong focus on unstructured data, dynamic graph analysis, and LLM-backed text analytics, this position offers the opportunity to make a relevant impact on how Chewy attracts, develops, and retains talent. Does this sound like you? We'd love to hear from you!Key ResponsibilitiesDevelop and Deploy AI Solutions: Design, implement, and deploy advanced machine learning models to address HR-specific challenges, including talent management, workforce planning, and employee engagement.Scalable AI Product Development: Create and maintain long-term development roadmaps for AI solutions, ensuring scalability, maintainability, and alignment with business priorities.Research to Production: Collaborate with data scientists, machine learning engineers, and business intelligence engineers to transition research and visualization prototypes into production-grade applications.Unstructured Data Analysis: Lead research projects involving unstructured data, including natural language processing (NLP), dynamic graph data, and LLM-backed text analytics to uncover actionable insights.Mentorship and Leadership: Provide technical mentorship to junior data scientists, fostering their growth in both technical expertise and discernment.Model Evaluation and Monitoring: Implement thorough model evaluation processes and monitoring pipelines to ensure deployed models remain accurate, fair, and reliable over time.HR Collaboration: Partner with HR leaders and business teams to align AI efforts with organizational goals and deliver important, actionable insights.QualificationsTechnical Expertise: Sophisticated knowledge of machine learning, statistical modeling, and AI methodologies, with hands-on experience in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Experience with Unstructured Data: Strong experience working with unstructured data, including text and dynamic graph datasets.Product Development: Track record of design and deploy production-grade AI systems, including scalability and maintainability considerations.Cloud and MLOps: Experience with cloud-based environments and familiarity with MLOps tools for model deployment, versioning, and monitoring.Eye For Business: Ability to align AI solutions with organizational priorities, translating technical capabilities into business value.Mentorship Skills: Consistent track record to mentor junior Team Members, enhancing their technical skills and critical thinking.Preferred SkillsExperience with LLMs and text analytics frameworks.Proficiency in dynamic graph analytics tools such as NetworkX or Neo4j.Familiarity with monitoring and observability tools for AI pipelines (e.g., MLflow, Prometheus, or Grafana).Knowledge of security standard methodologies in AI and ML deployments.The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.We offer different types of insurance, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.Salaried-exempt team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.Pay Range$125,000—$199,500 USDChewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.If you have a question regarding your application, please contact HR@chewy.com.To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.",Entry level,Machine Learning Engineer II
+453,2025-04-08,West Chester,Pennsylvania,Lensa,https://lensa.com,"What if we could take the search out of job search? This is the question
+Lensa has been answering since launching in San Francisco, California in
+August 2016. Using machine learning, we instantly provide companies with
+candidates and match professionals with positions that fit their skills,
+goals, personalities, and needs.
+How does it work? Lensa applies complex algorithms that identify the
+skills needed to succeed on a given job. Candidates can play computer
+games that assess their work style, thus gaining insight into their strengths
+while unlocking career opportunities.
+The result: job search that puts people first while reducing the time and
+cost of talent acquisition.
+
+Lensa passed 10 million job seeker registrations in 2019, making the com-
+pany one of the premier career platforms.
+
+With teams in multiple U.S. locations and a 60-strong crew of developers
+and data scientists at its R & D headquarters in Europe, Lensa is working
+every day to share its transformative career technology with the world.","Lensa is the leading career site for job seekers at every stage of their career. Our client, Apple, is seeking professionals in Sunnyvale, CA. Apply via Lensa today!Machine Learning Engineer, Ai & Data PlatformSunnyvale, California, United States Corporate FunctionsSummaryPosted: Mar 05, 2025Weekly Hours: 40Role Number: 200588535The people here at Apple don’t just build products — we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. A passion for product ownership and track record will prove critical to success on our team. Be ready to make something extraordinary when here. Multifaceted, encouraging people and innovative, industry-defining technologies are the norm at Apple. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day to day basis? Join the AI & Data Platform (AiDP) team and empower Apple's business groups with cutting-edge ML, data, and analytics solutions. This position is an extraordinary opportunity for a competent, experienced, and results-oriented machine learning engineer to define and build some of the best-in-class machine learning platforms and products that drive business outcomes across Retail, iTunes, Marketing, and more.DescriptionOur Machine Learning Engineers work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.Minimum QualificationsStrong proficiency in programming languages like Java or Python Solid understanding of Data Structures and Algorithms. 3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring, and model refresh management. 1+ years experience working with NLP and GenAI frameworks (LangChain, LlamaIndex, etc.) Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes). Preferred QualificationsExperience handling large-scale datasets and data-driven applications. Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs. Excellent communication and experience working with multi-functional teams Pay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)Apple FooterApple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.",Entry level,"Machine Learning Engineer, Ai & Data Platform"
+454,2025-04-04,Plantation,Florida,Chewy,http://careers.chewy.com,"At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. 
+
+We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
+
+We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
+
+At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
+
+Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
+
+We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
+
+We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.","Our OpportunityChewy is growing! The Enterprise People Analytics team at Chewy is building advanced AI and machine learning solutions to redefine HR decision-making. As a Machine Learning Engineer (MLE) focused on AI product development, you will design and deploy innovative machine learning models, mentor junior Team Members, and drive the production of scalable AI solutions that empower Chewy’s HR function.This role blends deep technical expertise, critical thinking, and a passion for solving complex HR challenges with machine learning and AI. You’ll collaborate with data scientists, engineers, and business intelligence guides to transition research into robust, business-aligned AI products. With a strong focus on unstructured data, dynamic graph analysis, and LLM-backed text analytics, this position offers the opportunity to make a relevant impact on how Chewy attracts, develops, and retains talent. Does this sound like you? We'd love to hear from you!Key ResponsibilitiesDevelop and Deploy AI Solutions: Design, implement, and deploy advanced machine learning models to address HR-specific challenges, including talent management, workforce planning, and employee engagement.Scalable AI Product Development: Create and maintain long-term development roadmaps for AI solutions, ensuring scalability, maintainability, and alignment with business priorities.Research to Production: Collaborate with data scientists, machine learning engineers, and business intelligence engineers to transition research and visualization prototypes into production-grade applications.Unstructured Data Analysis: Lead research projects involving unstructured data, including natural language processing (NLP), dynamic graph data, and LLM-backed text analytics to uncover actionable insights.Mentorship and Leadership: Provide technical mentorship to junior data scientists, fostering their growth in both technical expertise and discernment.Model Evaluation and Monitoring: Implement thorough model evaluation processes and monitoring pipelines to ensure deployed models remain accurate, fair, and reliable over time.HR Collaboration: Partner with HR leaders and business teams to align AI efforts with organizational goals and deliver important, actionable insights.QualificationsTechnical Expertise: Sophisticated knowledge of machine learning, statistical modeling, and AI methodologies, with hands-on experience in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Experience with Unstructured Data: Strong experience working with unstructured data, including text and dynamic graph datasets.Product Development: Track record of design and deploy production-grade AI systems, including scalability and maintainability considerations.Cloud and MLOps: Experience with cloud-based environments and familiarity with MLOps tools for model deployment, versioning, and monitoring.Eye For Business: Ability to align AI solutions with organizational priorities, translating technical capabilities into business value.Mentorship Skills: Consistent track record to mentor junior Team Members, enhancing their technical skills and critical thinking.Preferred SkillsExperience with LLMs and text analytics frameworks.Proficiency in dynamic graph analytics tools such as NetworkX or Neo4j.Familiarity with monitoring and observability tools for AI pipelines (e.g., MLflow, Prometheus, or Grafana).Knowledge of security standard methodologies in AI and ML deployments. Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.If you have a question regarding your application, please contact HR@chewy.com.To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.",Mid-Senior level,Machine Learning Engineer II
+455,2025-03-30,Palo Alto,California,AI Fund,https://www.aifund.ai/,"Who is AI Fund? 
+
+We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence. 
+
+Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock.
+
+How Are We Different? 
+
+We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge. 
+
+We believe the best way to help entrepreneurs is  by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most. 
+
+Why Work With AI Fund? 
+
+Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success.
+
+We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.","Palo Alto, CALanding AI – Engineering /Full time /HybridLandingAI™ delivers cutting-edge Visual AI solutions that empower customers to unlock the value of visual data. With visual data sets, companies realize the value of AI and move AI projects from proof-of-concept to production. Guided by a approach, LandingAI’s flagship product, LandingLens™ is a Visual AI platform that enables users to build, iterate, and deploy Visual AI solutions quickly and easily. With data quality being key to the success of production AI systems, LandingLens™ allows users to achieve optimal data accuracy and consistency. Additionally, LandingAI is a pioneer in the field of Large Multimodal Models (LMM) which enhance the ability to process and understand visual data at scale, making sophisticated Visual AI tools more accessible and efficient. Founded by Andrew Ng, co-founder of Coursera, founding lead of Google Brain, and former chief scientist at Baidu, LandingAI is uniquely positioned to lead the development of AI from a technology that benefits a few to a technology that benefits all.As a key member of our collaborative team, you will work on developing AI-driven solutions within our VisionAgent and LandingLens products. Your responsibilities will include staying up-to-date with the latest research in the field, testing new techniques, and potentially integrating cutting-edge advancements into our products. Additionally, you will be involved in constructing and curating datasets, testing machine learning models and agentic frameworks, and fine-tuning these frameworks to improve performance and effectiveness.What You’ll Do:Apply Machine Learning: Work with machine learning models, algorithms, and data to solve real-world problems related to computer vision and other AI tasks.Collaborate with Teams: Partner with engineers, data scientists, and other stakeholders to ensure smooth integration of AI solutions into our products.Backend Development: Contribute to building backend systems, including working with databases, APIs, and other backend services, ensuring they support our AI systems effectively.Continuous Learning: Stay updated with the latest advancements in machine learning and contribute ideas for improving our solutions.Support the Team: Assist senior team members in the development, testing, and optimization of machine learning models and systems.What We’re Looking For:Education: A degree in Computer Science, Engineering, Data Science, or a related field and 2-3 years of work experience.Machine Learning Knowledge: Solid understanding of machine learning concepts, including having worked on machine learning models or taken related courses.Software Engineering Skills: Experience with coding (preferably in Python or similar languages), basic backend systems, and databases. Familiarity with web services or APIs is a plus.Collaboration & Communication: Strong interpersonal skills and the ability to collaborate effectively with team members. Comfortable discussing technical ideas and learning from others.Curiosity & Problem-Solving: A passion for learning and a desire to work on complex, impactful problems.Location & Work Environment: Must be located in the Bay Area and available to work from our Palo Alto office at least three days a week.Why Join Us?Impactful Mission: Be at the forefront of a transformative industry, shaping the future of Visual AI.Cutting-Edge Work: Work on challenging, high-impact problems with the latest advancements in AI research.Collaborative Culture: Join a team that values innovation, growth, and making a meaningful difference for our customers.Leadership Opportunity: Lead and grow an exceptional team, driving the next generation of AI solutions.Landing AI Benefits: Health: Our people and their dependents* are covered by comprehensive medical, dental, and vision plans. Wellness: We offer a fitness stipend to be used on well-being and fitness programs. Lifelong learning: With an education stipend, you are encouraged to keep learning and growing. PTO: We provided generous paid time off* so you can strive toward a balanced lifestyle.Retirement: We offer a 401k matching plan to help you plan for your future! Events: We love having fun! We set up regular virtual and in-person events to connect with each other.Global Citizen: Our people reside in North America, Latin America, and Asia. Come and join our global network! *Subject to country of employment$155,000 - $175,000 a yearOur salary ranges are determined by role, level, and location, and your recruiter can provide specific details during the hiring process.Must be located in the Bay Area and available to work from our Palo Alto office at least three days a week.",Entry level,Machine Learning Engineer
+456,2025-03-21,Boston,Massachusetts,PathAI,http://www.pathai.com,"PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. 
+
+We are a company of diverse employees with a wide range of backgrounds and experiences. Our world class team is passionate about solving challenging problems and making a huge impact. Our office is located in the heart of Fenway. PathAI was recently voted one of BBJ's Best Places to Work!
+","Who We ArePathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.Where You FitWe are seeking experienced Machine Learning Engineers to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. The Machine Learning Engineer will work closely with teams across biomedical data science, product development, translational research MLOps and platform engineering to develop and deploy the machine learning models for our AI products and services.What You’ll DoIndependently lead the planning and execution of machine learning model development for research and product development projects with ML best practicesContributes towards internal product and translational research experiment design, ideation, analysis, documentation and experimental plansUnderstands product requirements in their biological and clinical context and proposes changes to model design, product requirements, or analysis plan to ensure market fitDemonstrates mastery of established and state-of-the-art ML methods and upholds ML Team’s best practices for ML research and product developmentEngaged within team governance of standards via supporting initiatives (e.g. Guild of TLs, ML Stewards, WiML, Journal Club, Maintaining and creation of documentation)Identify technical gaps, propose and initiate new projects by articulating rationale and experimental plans that translate technical improvements into business impactActively participate in and propose improvements to team processes and supporting initiatives, including but not limited to: project processes, technical design reviews, knowledge sharing, hiring and onboarding.Actively support scientific strategy with abstract submissions to conferences, manuscript preparation, and creation of marketing and other materials for external audiencesYou will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals. Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes.What You BringTo be successful in this role with us, you'll at least need:Master’s degree plus 3-4 years of professional experience or Ph. D. in Computer Science, Computational Biology or related field, preferably with a focus on artificial intelligence and machine learning3-4 years of experience in developing and deploying state-of-the art machine learning models in productsExcellent proficiency in Deep Learning frameworks (Pytorch/Tensorflow), Python (including Scipy, Numpy, Pandas) and software engineering skills. Strong analytical and quantitative skillsStrong track record with the overall machine learning and computer vision model development process including data pipelines, model training, evaluation and deployment.Publications or research in fields related to artificial intelligence and biomedical science is strongly preferredStrong communication skills. Intellectual curiosity and the ability to learn quickly in a complex spaceWe Want To Hear From YouAt PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.",Mid-Senior level,Machine Learning Engineer III
+457,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
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+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
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+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+458,2025-03-24,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is a diverse group of world-level researchers and engineers, who develop and support the production recommendation systems that drive product impact. The team is fast-paced, collaborative and impact-driven.Responsibilities - What You'II Do Develop recommendation systems that improve user experience and platform content ecosystem. Build machine learning systems and pipelines to address critical product challenges. Own a complex part(s) of the system, lead its development, support, and improvements. Collaborate with cross functional teams to design product strategies and build solutions to grow TikTok in the US market.QualificationsMinimum Qualification Bachelor degree or above in computer science or a related major, with 2+ years of related work experience. Proficient in C/C++, Python and have a deep understanding of data structure and algorithm design. Practical experience using these languages building production systems. Solid knowledge and practical experience developing and training models with at least one popular deep learning framework (e.g., PyTorch, TensorFlow). Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product. Good written and verbal communication skills.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"(General Hire) Machine Learning Engineer, TikTok Recommendation"
+459,2025-03-28,New York,New York ,Cedar,http://www.cedar.com,"Cedar is the leading financial experience platform for healthcare providers who prioritize patients. Cedar delivers healthcare’s top patient financial experience platform for modern revenue cycle teams. Starting with consumer-grade technology, we offer the only platform that integrates a patient’s billing and benefits information in one simple payment experience. Our platform is a must-have for finance leaders to increase patient payments while boosting patient loyalty. ","Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S.Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. Background:Cedar is a patient payment and engagement platform that leverages advanced analytics, machine learning, and consumer-centric design and technology to improve the healthcare experience for patients. The AI/ML team (within the Product Engineering org) plays a critical role in achieving Cedar’s vision. We aim to proactively identify opportunities for personalization, and train models to optimize engagement and financial outcomes. By building ML-based algorithms and embedding them into our products, we deliver tailored experiences for patients that differentiate Cedar’s product offerings with hard-to-replicate competitive advantages.We don’t do this alone–we closely partner with the other Makers teams (Data Science, Product, Design, and User Research) to maximize our impact. We also work with Commercial teams to evangelize our vision to clients and incorporate market feedback, ensuring our machine learning innovations drive real-world value.The Role:Cedar is scaling rapidly and the demand for machine learning expertise is increasing. We are seeking a Machine Learning Engineer III to join our team and build machine learning solutions that optimize the performance of Cedar’s product. You will conduct deep analyses of data to develop a thorough understanding of our product features and how patients utilize them, along the way becoming an expert in Cedar data. You will design, develop, and iterate on ML-powered product features to support and differentiate Cedar’s product offerings, and closely measure and monitor the performance of these ML models to identify and drive opportunities for continuous improvement. As Cedar’s ML capabilities evolve, you will have the opportunity to expand your scope and influence key decisions about how ML is utilized in Cedar’s products. Responsibilities:Develop a deep understanding of Cedar patients and our product, including the mechanisms of Cedar’s platform and Cedar’s dataBuild and optimize pipelines for data extraction, processing, and transformation; perform in-depth data analysis, data cleaning, and feature engineering on (mostly) structured, tabular data Design, build, and deploy scalable and maintainable machine learning solutions that solve key problems for our patients and customersRigorously evaluate the effectiveness of machine learning models by analyzing their performance, and identify opportunities for iteration and improvementCollaborate closely with data engineers and product engineers to productionize pipelines and ML solutionsPresent and clearly communicate findings and underlying methodology to partners across all levels of the organization, and present externally to Cedar clientsWork cross-functionally to identify and evaluate opportunities where machine learning can drive business impact and competitive advantageTake ownership of end-to-end machine learning projects, from ideation to deployment, with increasing autonomy as you grow in the roleSkills and Experience:5+ years of experience working with data, with 3+ years of experience in machine learning in an industry settingExpertise in both SQL and Python is requiredExpertise in machine learning techniques such as regression, classification, clustering, and ensemble methods; not only in training performant models, but also how to use them successfully for business impact and how to employ effective guardrails Experience productionizing models and knowledge of cloud platforms such as AWSExcellent communication and collaboration with stakeholders, acting as a thought-partner for other data scientists and cross-functional teamsStrong analytical ability and an understanding of statistical methods Understanding of software engineering principles A mindset focused on growth and learning, with a desire to take on new challenges and expand your impact over timeProblem-solving ability, with the interest to further grow this skillset and apply strategic thinking to make key decisions relating to Cedar’s ML product featuresExperience working with healthcare data or payments/billing data is a plus, but not requiredThis role offers hybrid from New York City or is fully remote. Applicants must be currently authorized to work in the United States on a full-time basis. Compensation Range and BenefitsSalary/Hourly Rate Range*: $170,000 - $200,000 This role is equity eligibleThis role offers a competitive benefits and wellness package What do we offer to the ideal candidate?A chance to improve the U.S. healthcare system at a high-growth company! Our leading healthcare financial platform is scaling rapidly, helping millions of patients per yearUnless stated otherwise, most roles have flexibility to work from home or in the office, depending on what works best for youFor exempt employees: Unlimited PTO for vacation, sick and mental health days–we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to workDiversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians) Competitive pay, equity (for qualifying roles) and health benefits that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month)Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensationAccess to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personallyAbout usCedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. ""Over the past several years, we've raised more than $350 million in funding & have the active support of Thrive and Andreessen Horowitz (a16z). As of November 2024, Cedar is engaging with 30 million patients annually and is on target to process $3.5 billion in patient payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Novant Health, Allina Health and Providence.",Mid-Senior level,Machine Learning Engineer III
+460,2025-04-04,London,,Alexander Chapman,http://www.alexanderchapmanltd.com,"Alexander Chapman is a leading global search firm specializing in comprehensive staffing and talent management solutions tailored to the unique needs of local, regional, national, and international businesses. With a dedicated focus on niche recruiting expertise and expert project management, Alexander Chapman excels in providing innovative solutions within the Finance sectors.
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+","Revolutionize AI with Cutting-Edge AI CompanionsWe’re on a mission to build lifelike computers that collaborate with us through natural voice companions. We’re looking for Machine Learning Engineers, Research Engineers, and Research Scientists to join our team. In this role, you’ll focus on advancing the post-training and fine-tuning of models, utilizing techniques like reinforcement learning, rewarding strategies, tokenization, and alignment tuning to make AI systems more conversational, emotionally aware, and adaptive.What You’ll DoFine-tune LLMs and AI companions using reinforcement learning, preference optimization, and post-training techniques.Enhance AI’s ability to engage in empathetic, context-aware conversations, personalize interactions, and retain memory.Implement continuous learning to ensure AI systems are goal-driven, adaptive, and aligned with user preferences.Collaborate with top AI researchers to bring cutting-edge advancements into real-world applications.What We’re Looking ForExpertise in reinforcement learning, fine-tuning, deep learning, and NLP.Proficiency in Python, PyTorch, TensorFlow, and modern AI frameworks.Experience deploying scalable AI models in cloud environments (AWS, GCP, Azure).A passion for advancing AI and solving complex challenges.Why Join Us?Work with a world-class team, leaders from Apple, Meta, Microsoft, and Google.Offices in San Francisco, Bellevue, and New York—flexible work options available.Competitive benefits: 401k, 100% employer-paid health, vision, and dental insurance, and unlimited PTO.Play a key role in shaping the future of AI and voice technology.Ready to help us build AI that truly comes alive? Apply now to join our team!",Mid-Senior level,Machine Learning Engineer
+461,2025-04-03,Philadelphia,,Fliff Inc,https://getfliff.com,"Fliff is the home of social sports gaming.  Our social and promotional games offer a new way to have skin-in-the-game that is simpler, interactive, and free to play.
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+By pairing the social treasures of sports gaming with loyalty rewards and promotions, sports fans can sweat the game without sweating the losses. Fliff combines the best of social gaming, fantasy sports, and sports betting into a fun and easy to use experience.","Fliff unpacks sports gaming into social, free-to-play games for all types of sports fans. We've built a social sports gaming experience that allows users to compete for leaderboard positioning, to achieve badges and build their status within the game.We are pioneering play-for-fun sports gaming, with our flagship social sportsbook experience that includes sweepstakes promotions and loyalty rewards. We provide sports fans with fun, engaging, and free-to-play alternatives to real money gaming.We are seeking a skilled and experienced Data Scientist to join our team. You will be responsible for analyzing large datasets, developing predictive models, and providing insights that drive business decisions, reporting directly to the executive team and company stakeholders.The ideal candidate should be able to work independently and collaborate with cross-functional teams to deliver high-quality work in a fast-paced environment.ResponsibilitiesConduct data analysis and modeling to identify trends, patterns, and insights that can be used to improve our platform.Develop predictive models and algorithms that can forecast outcomes for sports events and improve the accuracy of our predictions.Work closely with the product and engineering teams to integrate models and algorithms into our platform.Collaborate with other data scientists, analysts, and business stakeholders to ensure that our models and algorithms are accurate, reliable, and scalable.Monitor the performance of our models and algorithms and continuously improve them based on feedback and new data.RequirementsBachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.Preferably at least 2-3 years of experience in data science, ideally in the sports gaming industry.Passion for sports and sports gaming.Strong programming skills in Python and experience working with libraries such as Pandas, NumPy, and Scikit-learn.Knowledge of SQL and experience working with databases and data warehouses.Experience with machine learning algorithms and statistical models, including supervised and unsupervised learning, regression, classification, and clustering.Strong problem-solving and analytical skills, with the ability to think creatively and outside the box.Excellent communication and collaboration skills, with the ability to work effectively in a team environment.BenefitsTop tier compensation + benefits packageFlexibility to work remotelyOpportunity for professional growth in a dynamic and international environmentInformal, friendly and knowledge-sharing environmentAn interesting and challenging job that allows you to explore paths to creating successful software solutions$60,000 - $100,000 a yearWe are a multinational company with our headquarters based in Philadelphia, and offices in New York, Austin, and Sofia, Bulgaria. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is welcoming and friendly, and the work that we do is always interesting and rewarding. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is:Welcoming and FriendlyWe want to reflect the diversity of the cities we serve. By creating an inclusive culture where everyone can thrive, we’ll make Fliff better for employees and customers alike.Lively and CreativeWe respect and value each other’s ideas, experience and expertise. There is no such thing as a bad idea; only ideas that are executed and ideas that are discarded after consideration.Stimulating and RewardingWe know bright minds love a challenge, and we understand your desire to see your hard work pay off. We’ll make sure your daily tasks align with your career ambitions as we grow together.Apply for this job",Entry level,Data Scientist
+462,2025-03-28,,,Altos Labs,http://www.altoslabs.com,"Altos Labs is a biotechnology company focused on restoring cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. The company comprises a community of leading scientists, clinicians, and leaders from academia and industry working together towards this common mission. 
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+Altos operates in the San Francisco Bay Area, San Diego and Cambridge, UK.
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+Note: Altos Labs will not ask you to download a messaging app for an interview or spend your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate or a practice within our organization.","Our MissionOur mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.For more information, see our website at altoslabs.com.Our ValueOur Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.What You Will Contribute To AltosAltos Labs is building high-performance, scalable, quantitative solutions for biomedical image analysis and integration with multi-Omics data. The team work at multiple scales including data from Electron/Light Microscopy, Digital Histology and Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups.ResponsibilitiesEvaluate state of the art and Retrain AI models across the full spectrum of imaging including: de novo protein design, structure identification and dynamics in single particle CryoEM ; light microscopy and multi-omics data integration and cross domain mapping of data collected in situ and in vivo.Demonstrate software engineering skills to develop reliable, scalable, performant distributed systems in a cloud environment.Develop efficient data loading strategy and performance tracking to train large models with distributed training across multiple nodes Build, deploy, and manage multi modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework.Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and software engineers.Bridge the communication gap between experimental scientists, algorithm developers and software deployers.Who You AreMinimum QualificationsBS/MS in Computer Science/Biomedical Engineering or related quantitative field.Candidates should have 2-5 years of relevant industry and/or academic experience.Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorfllow, Pytorch Lightning etc.Previous experience with Machine Learning at scale: Large Language Models and Self-Supervised/Contrastive/Representation Learning for Computer Vision applications and multi modal integration. Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics.Demonstrated track record of hands-on technical leadership and scientific contributions such as papers or conference communications.Excited to design and implement technical and cultural standards across scientific and technical functions.Preferred QualificationsBioinformatics data processing and analysis.Multi source data Integration.Experience with cloud computing and containerization.Knowledge of genetics/human geneticsThe salary range for Redwood City, CA:Machine Learning Engineer I: $144,500 - $195,500Machine Learning Engineer II: $170,000 - $230,000The salary range for San Diego, CA:Scientist I, Machine Learning: $141,950 - $192,050Scientist II, Machine Learning: $160,650 - $217,350Exact compensation may vary based on skills, experience, and location.For UK applicants, before submitting your application: Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice) This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.What We Want You To KnowWe are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation.Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/",Mid-Senior level,Machine Learning Engineer
+463,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+464,2025-04-05,San Jose,California,Roku,https://www.weareroku.com/,"With the #1 platform for streaming television in the U.S., Roku wants to revolutionize the way the world watches TV. 
+
+Our Roku-branded TVs, Roku TV models, Smart Home system, streaming players, audio equipment, and the purpose-built operating system that powers it all can turn any home into a home theater, with seamless integration of hardware and software. Our commitment to our users extends to our brand studio, which creates innovative Roku Originals exclusively for The Roku Channel, a free channel that reaches approximately 80 million households in the U.S. and Mexico.   
+
+Join us and you'll have the chance to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. Be a part of shaping the future of streaming at weareroku.com. ","Teamwork makes the stream work.Roku is changing how the world watches TVRoku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.  About the teamThe Core Analytics Team is a centralized function to provide data-driven insights to business and products. We collaborate closely with our Product and Engineering teams to deliver the best experiences to our customer and maximize the value proposition for the business. About the role Roku is looking for a Sr. Data scientist to join the Core Analytics team to support our experimentation platform. This individual will be responsible for helping to scale Roku’s experimentation capabilities, exploring and implementing scalable and robust statistical methods that can apply to a broad range of experimentation problems. The successful candidate will help build tooling for engineers, product managers, and marketers to self-serve their own experiments and establish experimentation best practices across Roku. This individual will work closely with product management and data engineering and software engineer to identify opportunities to create new features, drive their adoption. This individual will investigate and develop solutions to track, monitor and improve our Experimentation ecosystem. The successful candidate is quantitatively driven, well versed in experimentation and advanced statistical methods, detail-focused, and possesses an elevated level of problem-solving expertise. For California Only - The estimated annual salary for this position is between $132,000-$254,000 annually.  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.  This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.Roku will be accepting applications for this position until May 27, 2025 [or until the position filled].What you'll be doing Help shape the roadmap to drive experimentation at Roku Define the standard for statistical analysis across varying types of experiments and units of analysis ensuring robust results with minimal bias Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like bayesian inference and causal methods to optimize complex strategies Develop necessary data pipelines to power automation, validation and reporting Collaborate with stakeholders to align data science initiatives with organizational goals and strategy Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback   We're excited if you have 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering, Computer Science, or other quantitative field)  Strong statistical acumenHands on experience on experimental design, A/B testing, causal inference and statistical modeling/forecasting Expertise in SQL, SAS, R, Python or other programming languages to query data and perform analysis Hands on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment The ability to effectively communicate with technical and non-technical business partners alike, and who are interested in building strong cross-functional relationshipsA desire to question the status quo and promote innovative solutions to challenging problems   BenefitsRoku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku CultureRoku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.",Mid-Senior level,"Senior Data Scientist, Experimentation"
+465,2025-03-30,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace of consumers, merchants, and dashers. The Forecasting Platform provides a unique opportunity to have a broad impact on the business ensuring we can quickly respond to a rapidly changing operational environment. The team supports projects across all of our major pillars (e.g. supply / demand, auto-scaling infrastructure, support optimization) as well as the development of an internal decision platform for time series.About The RoleAs a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers.You’re Excited About This Opportunity Because You Will…Build time-dependent statistical and ML models that solve product needs across our verticals - e.g. matching supply / demand, predicting support needs, providing insights to our internal platforms (ads, experiments, merchant), auto-scale infrastructure and optimize business processes such as promotionsOwn the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance Contribute to the development of our in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to uplevel our capabilitiesResearch new tools within the Forecasting space (e.g. TimeGPT, LLM extensions)You can find out more on our ML blog post hereWe’re Excited About You Because…High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double downYou’re an owner — driven, focused, and quick to take ownership of your workHumble — you’re willing to jump in and you’re open to feedbackAdaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth settingDesire for impact — ready to take on a lot of responsibility and work collaboratively with your teamExperienceM.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in productionDemonstrated expertise with object-oriented programming and ML Libraries, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etcDeep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting Experience of shipping production-grade ML models and optimization systemsNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Mid-Senior level,"Machine Learning Engineer, Forecast Platform"
+466,2025-04-02,Fremont,California,PETADATA,http://petadatasoftware.com/,"PETADATA is an Information Technology & Services company that specializes in delivering technology solutions to meet the needs of our clients. PETADATA  maintains a fundamental commitment to excellence that is evident in everything we do. Our mission is to understand and meet the needs of both our clients and consultants by delivering quality, value-added solutions.
+
+PETADATA  is a leading provider of Information Technology services and business solutions. The company has international offices in America and, as well as offshore development centers in India. We provide services to large and mid-sized organizations in banking, financial services, insurance, retail, healthcare, manufacturing, and independent software vendors sectors.
+
+PETADATA  services include application development, support & maintenance, enterprise application implementation, integration, infrastructure management, and quality assurance & testing.
+
+Quality
+
+We consistently provide the right fit, high-quality services, and products that best match our clients'​ needs. We are highly sensitive to clients'​ goals, delivering on our promises and offering superior services for the life of the project and beyond.
+
+Honesty
+
+We follow honest and ethical business practices.
+
+Integrity
+
+We do what's right and follow through on our commitments. We are accountable for our actions and services.
+
+Teamwork
+
+We are motivated by results and value teamwork. We are committed to and truly care about our coworkers, clients, consultants, and strategic partners. 
+
+With a relentless focus on quality & processes, we have set international benchmarks in execution excellence that have translated into measurable business benefits for our customers. We offer our clients the advantages of:
+360-degree solution.
+
+https://www.petadatasoftware.com","Job Title: Machine Learning Engineer with Generative AILocation: Las Vegas, NV - REMOTEEXPERIENCE: 12+ YRSJob Type: W2/C2CPETADATA is currently hiring for the position of Machine Learning Engineer with Generative AI for one of their clients.Job OverviewWe seek a forward-thinking Machine Learning Engineer with a deep focus on Generative AI technologies within the Azure ecosystem. This pivotal role is dedicated to pioneering AI-driven solutions, mainly to deploy a state-of-the-art chatbot crafted through the Retrieval-Augmented Generation (RAG) technique to analyse and interpret customer reviews. The successful candidate will also craft an insightful analytical dashboard powered by Azure OpenAI. The successful candidate will be instrumental in harnessing the power of generative AI to revolutionize our customer interaction and data analysis methodologies.Core ResponsibilitiesGenerative AI Chatbot Development: Spearheaded the creation of an advanced chatbot utilizing the RAG methodology to deliver nuanced interactions based on customer reviews.Insightful Dashboard Engineering: Architect and develop an analytical dashboard, employing Azure OpenAI to unearth and present deep insights from complex datasets.Expertise in Prompt Engineering: Masterfully apply prompt engineering strategies to optimize the quality and relevance of generative AI outputs.Advanced Sentiment Analysis: Implement sophisticated sentiment analysis to deeply understand the emotional layers within customer feedback, refining the chatbot's empathetic engagement.Essential Technical ProficienciesAzure Generative AI Integration: Proven expertise in integrating and leveraging Azure cloud services, strongly emphasizing Azure Databricks and Azure OpenAI for generative AI applications.Proficient in Python and Spark: Exceptional skills in Python for AI development, complemented by expertise in using Spark for large-scale data processing and analytics.Foundation in Machine Learning and NLP: A robust foundation in machine learning principles and natural language processing, with a particular focus on generative AI technologies and techniques. Data Pipeline Design: Demonstrated ability to design and operationalize scalable data pipelines within Databricks, optimized for generative AI workflows.Desired AttributesA proven innovator in deploying generative AI to enhance customer interactions and analytical insightsCreative problem-solving abilities, capable of translating intricate customer needs into tangible, cutting-edge AI solutions.Exceptional analytical aptitude, meticulous attention to detail, and a commitment to excellence in all aspects of AI development and deployment.This oppotunity is designed for a visionary engineer eager to define the future of AI applications in customer service and analytics, pushing the envelope of what's possible with generative AI and machine learning technologies.Educational QualificationBachelor's/Master's degree in Computer Science, Engineering, or a related field.We offer a professional work environment and are given every opportunity to grow in the Information technology world.NoteCandidates must attend Phone, Video, or in-person interviews, and after the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.Please email your resume to anandinik@petadata.coAfter carefully reviewing your experience and skills, one of our HR team members will contact you to discuss the next steps.",Mid-Senior level,Machine Learning Engineer with Generative AI
+467,2024-09-08,,,Hugging Face,https://huggingface.co,The AI community building the future.,"At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.Transformers in NLP pushed forward the computational requirements and the trend started to expand to other modalities such as Computer Vision and Speech which are actively adopting Transformer architectures to build the latest state-of-the-art models.About the RoleHugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models.If you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations: we should talk!We are looking for talented people to join the Hugging Face Special Ops team, focusing on: Bridging 🤗 transformers models with state-of-the-art AI hardware Ensuring the above models meet the expected performance Designing easy to use and proficient Developer Experience for our users Deploying these models in the most efficient and scalable way This is an exciting opportunity to work at the edge of AI on both model architectures and hardware technologies! As additional material, you may want to take a look at the recent announcement about the collaboration with GraphCore on IPUs to get a better sense of what it means in practice 🤗.About YouYou'll enjoy working in this team if you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations. At the intersection of software engineering and machine learning, you would be in charge of integrating the latest features from our hardware partners in Python/C++, designing rich and easy Python APIs in the continuity of what Hugging Face did with transformers, tokenizers, and the datasets library with a strong focus on performances. Linux or embedded devices experience would be a great plus for the job.More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.",Associate,Machine Learning Engineer in the Optimization team - US Remote
+468,2025-04-04,San Antonio,Texas,Victory Capital,https://www.vcm.com,"Victory Capital is a diversified global asset management firm. The Company employs a next-generation business strategy that combines boutique investment qualities with the benefits of a fully integrated, centralized operating and distribution platform.
+
+Victory Capital provides specialized investment strategies to institutions, intermediaries, retirement platforms and individual investors. With 12 autonomous Investment Franchises and a Solutions Business, Victory Capital offers a wide array of investment products and services, including mutual funds, ETFs, separately managed accounts, alternative investments, third-party ETF model strategies, collective investment trusts, private funds, a 529 Education Savings Plan, and brokerage services.
+
+Victory Capital is headquartered in San Antonio, Texas, with offices and investment professionals in the U.S. and around the world. To learn more please visit www.vcm.com.
+
+Important disclosures: https://investor.vcm.com/social-media-guidelines-and-disclosures
+Mutual funds distributed, and brokerage services provided, by Victory Capital Services, Inc. (VCS).
+Advisory Services offered by Victory Capital Management Inc., an affiliate of VCS.
+","About Victory CapitalVictory Capital is a diversified global asset management firm and employs a next-generation business strategy that combines boutique investment qualities with the benefits of a fully integrated, centralized operating and distribution platform.Victory Capital provides specialized investment strategies to institutions, intermediaries, retirement platforms and individual investors. With 11 autonomous Investment Franchises and a Solutions Business, Victory Capital offers a wide array of investment products and services, including mutual funds, ETFs, separately managed accounts, alternative investments, third-party ETF model strategies, collective investment trusts, private funds, a 529 Education Savings Plan and brokerage services.Victory Capital is headquartered in San Antonio, Texas, with offices and investment professionals in the U.S. and around the world. To learn more please visit www.vcm.com or follow Victory Capital on Facebook, Twitter, and LinkedIn.General Summary And PurposeVictory Capital Management is committed to leveraging data to drive strategic decisions and innovation. We are seeking a Data Scientist to join our expanding Data and Analytics team. The ideal candidate will have a strong background in artificial intelligence, machine learning, data mining, and information retrieval to design, prototype, and build advanced analytics engines and services. You will collaborate with the broader team to implement machine learning algorithms that support our business units, design data experiments, and develop efficient models that drive revenue and enhance our decision-making processes.You will report to the Data Science Manager and play a key role in transforming our data initiatives while working independently on projects from conception to deployment.You WillIdentify appropriate uses of machine learning and use open source and AWS packages (including pandas, scikit-learn, and SageMaker) to write and deploy models to solve business problems.Demonstrate strong analytical problem-solving skills to translate ambiguous business questions into data science solutions.Own projects end-to-end, from problem definition through deployment and monitoring.Collaborate with team members to develop novel solutions using cutting-edge techniques and tools in our git-based workflow.Communicate complex technical concepts to non-technical stakeholders and explain the analytics approach and its benefits.Advocate and educate on the value of data-driven decision-making across the organization.Integrate analytical approaches into applications and tools with cross-functional teams.Develop scalable, interpretable models incorporated into data products.Engineer features by combining diverse data sources and transforming datasets.Share your passion for Data Science within the broader enterprise community and contribute to developing long-term processes and standards.Stay connected with external sources of ideas through conferences and community engagements.You Have1-4 years of hands-on modeling experience required.Bachelor's degree in Computer Science, Engineering, Statistics, Information Technology, Informatics, or a related field.Proficiency in Python (working with DataFrames, pandas) and SQL.Experience working in an Agile team environment with git version control.Hands-on experience with hypothesis testing and machine learning for solving clustering, classification, regression, anomaly detection, simulation, or optimization problems on large datasets.Ability to clean, merge, and transform datasets to create new features.Experience with developing models on AWS or other cloud platforms (particularly AWS SageMaker).Experience in the deployment, monitoring, maintenance, and enhancement of models.Proficiency with data visualization tools such as PowerBI, Plotly, Seaborn, or Matplotlib.Excellent communication skills to explain complex technical concepts to non-technical stakeholders.Strong collaboration skills and ability to work effectively in a small team environment.Demonstrated ability to work independently and manage multiple projects simultaneously.Additional QualificationsMaster’s or Ph.D. in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline.Experience with Generative AI technologies (e.g., LangChain, LLMs, AWS Bedrock) to develop and implement advanced AI applications.Experience with NLP techniques and libraries such as spaCy, NLTK, or BERT for text analysis and processing.Experience in building and deploying recommender systems.Expertise in financial modeling, financial services, or the investment management industry.Proficiency in advanced statistical techniques such as Bayesian inference, time series analysis, or survival analysis.Relevant certifications such as AWS Certified Machine Learning, TensorFlow Developer Certificate, or other recognized industry credentials.Proven track record of developing innovative solutions to complex data problems.Our BenefitsVictory Capital Management offers excellent Medical, Dental, Vision plans, Flexible PTO, Family Medical and Disability Leaves, Education Tuition Reimbursement and a 401k plan with a generous employer match.Target CompensationThe target base salary range for this position is $93,500 - $ 110,000.Salaries are determined based on internal equity, internal salary ranges, market data/ranges, applicant’s skills and prior relevant experience, certain degrees, and certifications.Victory Capital Management operates a pay-for-performance compensation philosophy and total compensation may vary based on role, location, department and individual performance.Victory Capital Management’s total compensation package includes the opportunity for annual compensation bonuses and/or commissions and a generous benefits package.We are committed to equal employment opportunity without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, height, weight, hair texture or a hairstyle historically associated with race to include braids, locks, or twists; or any other characteristic protected by applicable federal, state, or local laws and ordinances.",Entry level,Data Scientist
+469,2024-06-26,Palo Alto,CA,Entefy,https://www.entefy.com,"Entefy is an enterprise AI software and automation company. Entefy's multisensory AI technology delivers on the promise of the intelligent enterprise, at unprecedented speed and scale (think 15,000x performance improvement to Entefy customers).
+ 
+Entefy products and services help organizations transform their legacy systems and process—everything from knowledge management to workflows, cybersecurity, data privacy, customer engagement, forecasting, and more.
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+Entefy’s customers vary in size from SMEs to $100+ Billion US and global public companies across a number of industries including financial services, health care, retail, and manufacturing.
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+With 250,000 hours invested in advanced R&D (including contributions from more than 100 scientists and engineers), Entefy has created a rich IP portfolio spanning 100s of trade secrets and patents combined.
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+Get started at www.entefy.com.","Entefy’s Machine Learning Engineer is a highly visible position internally and externally. This is where your deep experience and great insights intersect with an amazing opportunity to shape the future of communication and digital interaction.Skills and Experience:We’re not looking for “good.” Entefy is on a mission for best. The success of this mission depends on its team members to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.Requirements5+ years of experience in Machine Learning tools and algorithms specially in unstructured data classification and clusteringDemonstrable expertise in MATLABProficient knowledge of and experience with AI systemsDemonstrable expertise in multiple programming languages such as Python, C++, Java, etcFluency in English and, at least, 1 other languageMasters or PhD in Computer Science in Machine Learning or related field preferredProficiency in Machine Learning open source toolsProficiency in Machine TranslationProficiency in Social Text MiningProficiency in SQL and non-SQL databaseProficiency in Data Visualization toolsVisit www.entefy.com and www.entefy.com/blog",Not Applicable,Machine Learning Engineer (Remote Position)
+470,2025-04-09,Birmingham,AL,TPI Global Solutions,http://www.tpiglobalsolutions.com,"TPI Global started in 1998, providing technical professionals to businesses scrambling to fix the Y2K bug. We met those challenges head-on and established ourselves as an IT talent and services firm that could be counted upon.
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+Since then we’ve grown. We continue to connect employers with tough-to-find IT expertise and help technical professionals find jobs that match their career goals. Now we are doing the same with engineering, finance and accounting professionals from our Birmingham, Atlanta and Charlotte offices.
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+As one of the top engineering and IT recruiting firms in the country, we know what it takes to find the right people for the job. Building a talent network from professionals nationwide – people with tons of skills and experience in information technology, engineering, accounting & finance and more. 
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+It’s hard to tell what a job will be like from a few words in an online job posting. Speak with a TPI recruiter to discuss your career goals. TPI provides the data – about the position and the corporate culture of our employers – so you can make intelligent career decisions. TPI has recruiting professionals dedicated to your success.","Title: Machine Learning EngineerPosition Type: Contract 6 MonthsLocation: Plano, TX from Day 1st 100% OnsiteMachine Learning EngineerLooking for someone with (Software Developer experience (60%)+ Data Science(40%) , AWS skills, (Python, SQL, SAS, Snowflake). Someone who has prior SAS experience and can Transform the legacy codes from SAS to Python will be a great fit.Proficiency in Python and SQL development.Experience with modern software development practices, including version control systems and infrastructure-as-code.At least one year of relevant work experience is requiredExperience in building and deploying machine learning models in cloud environments (AWS, Snowflake)""Highest degree specifically in: Statistics, Mathematics, Physics, Engineering, Computer Science, Economics / Econometrics, Finance, Data Science, Machine Learning, AI, Financial Engineering, Computational Finance, Operational Research, Industrial Engineering. ""Active AWS Solutions Architect Associate certificationExperience with SAS (statistical analysis) programming languageExperience working with API frameworks (Flask, FastAPI) and Amazon SageMaker Ability to design and implement comprehensive testing strategies.",Mid-Senior level,Machine Learning Engineer
+471,2025-04-07,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join usAbout The TeamThe Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology： Combat any kinds of risks/violations issues in E-commerce scenarios. Build an E-commerce ecosystem and improve platform service capabilitiesWe are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities: Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products. Responsible for mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators. Responsible for optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering. Responsible for data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain. Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.What You Will Do: Optimize various basic algorithms such as NLP, vision, multimodal, search, graph, LLM, etc. to provide support for governance business, explore cutting-edge technologies, and apply them to e-commerce business scenarios. Streamline the optimization and iteration process for computer vision models in e-commerce settings, including fine-grained classification of product images, product object recognition, product subject recognition, feature extraction, logo detection, brand recognition, etc. Optimize video classification, multimodal content mining, and multimodal content understanding of e-commerce short videos and live broadcasts, and optimize the e-commerce short video shopping experience. Optimize the risk identification model related to text content in e-commerce scenarios, such as product copywriting, picture text, and voice descriptions. Optimize the risk mining algorithm for comments, reports, and other public opinion content related to products/short videos/live broadcasts, and improve the platform governance effect. Responsible for the research of large-scale multimodal (vision, speech, natural language, etc.) algorithms and their implementation in e-commerce scenarios. Extract extensive data from various entities, such as content in e-commerce live broadcasts, products, merchants, and influencers. Model large-scale networks to support business scenarios like content understanding, multimodal representation, and community mining for problem-solving purposes. Participate in the construction of a large-scale graph storage and graph learning platform, supporting the basic ability of graph learning with billions of nodes and edges.QualificationsMinimum Qualification: Bachelor's degree or above in computer science or related field Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++ Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM Excellent analytical and problem-solving skills, passionate about challenging problems Good team spirit and strong communication skills Experience in platform governance/audit/risk control/content security or overseas internet/e-commerce business is preferred Fluent English listening, speaking, reading, and writing skills are preferred Experience studying, working, or living overseas is preferred.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $112200 - $129600 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer (CV/NLP/Multimodal/LLM) Graduate (E-Commerce Governance) - 2025 Start (BS/MS)
+472,2025-03-23,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
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+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced senior machine learning engineer to help us develop the cutting-edge Computer Vision models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Applied Machine Learning expert to join our team. As a Computer Vision expert, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the computer vision system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph and inventory information more accurate and real time, as well as help Dasher efficiency. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve consumer vision problems such as entity recognition, entity resolution, attribute extraction, object detection, segmentation, metric learning, and category classification, image classification.Collaborate with cross-functional leaders across engineering, product, and business strategy to help shape a product roadmap driven by machine learning, accelerating the growth of a multi-billion-dollar retail delivery ecosystem.Explore and harness diverse data sources, leveraging intuitive models and fostering a culture of flexible experimentation. Your goal will be to continuously improve the shopping and dashing experiences, delivering solutions that are not only effective but also scalable and user-centric.Drive impact and enjoy ample room for both personal and professional growth. This includes opportunities for deep technical development and leadership as you work within a growing team that is actively unlocking new markets for the company.Innovate and experiment with cutting-edge technologies and methodologies in AI and ML. You’ll have the freedom to explore emerging technologies, test new ideas, and drive technical innovation in the computer vision space, directly shaping the future of our retail and delivery solutions.We’re Excited About You Because You Have…Industry experience developing machine learning models with business impact, and shipping ML solutions to production. You have successfully shipped ML solutions to production and understand the nuances of transitioning models from development to real-world environments.Deep expertise in applied Computer Vision, with hands-on experience solving challenging vision-related problems and implementing solutions that drive customer value. Your knowledge extends to solving complex tasks such as object detection, classification, and segmentation.Strong machine learning and programming skills, particularly in Python, with experience in key ML frameworks such as PyTorch, TensorFlow, or Spark. You’re able to implement scalable models and optimize performance for production systems.You must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New YorkM.S., or PhD. in Computer Vision, Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field is a plusFamiliarity with causal inference and experimentation techniques, enabling you to design and evaluate experiments that validate the effectiveness of ML models and ensure the product’s continuous improvement.Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,"Machine Learning Engineer, Computer Vision"
+473,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.TikTok's immersive experience, global presence, and high engagement makes it the ideal destination for brands, big and small, to showcase their unique identity, connect with their consumers, and build strong lasting relationships over time. Our Brand Ads team focuses on enabling brands to grow and succeed on TikTok by creating cutting-edge monetization products that empowers users, creators, and advertisers.The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting.We are looking for seasoned engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment.What You'll Do Create innovative monetization products that drive engagement and revenue. Participate in the development of a large-scale Ads system. Participate in the development and iteration of Ads algorithms by using Machine Learning Work on NLP and CV related technology for content understanding and taxonomy. Contribute to the success of a rapidly growing and evolving organization with speediness and quality.QualificationsQualifications: BS degree in Computer Science, Computer Engineering or other relevant majors, with 3+ years of related work experience Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python. Ability to think critically and to formulate solutions to problems in a clear and concise way. Relevant professional experience with machine learning, data mining, data analysis, distribution system Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting. Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack Good product sense and experience designing and implementing product features.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at yichen.zhang@tiktok.com.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer, TikTok Branding Ads"
+474,2025-03-27,Broomfield,Colorado,DigitalOcean,https://www.digitalocean.com,"DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean helps developers at startups and growing digital businesses rapidly build, deploy and scale, whether creating a digital presence or building digital products. DigitalOcean combines the power of simplicity, security, community and customer support so customers can spend less time managing their infrastructure and more time building innovative applications that drive business growth.","We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems.Key ResponsibilitiesDevelop, test, and implement predictive models and machine learning algorithms to solve business challenges.Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools.Design and execute experiments (A/B testing, causal inference, etc.) to measure the impact of business initiatives.Collaborate with stakeholders to translate business questions into data science problems and communicate findings effectively.Build and maintain data pipelines and ETL processes to ensure data quality and availability.Present data-driven recommendations to executives and cross-functional teams in a clear and actionable manner.Stay updated on the latest advancements in data science, machine learning, and AI.QualificationsMaster’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.3+ years of experience in data science, analytics, or a similar role.Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.Solid experience with SQL for querying and managing structured data.Knowledge of machine learning, statistical modeling, and optimization techniques.Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.Ability to communicate complex findings to non-technical stakeholders in a clear, concise manner.Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).Familiarity with business intelligence, marketing analytics, or financial forecasting is a plus.Preferred SkillsExperience in causal inference, econometrics, or Bayesian methods.Hands-on experience with ML Ops, model deployment, or data engineering workflows.Understanding of business metrics, growth strategies, and financial modeling.Ability to work in a fast-paced, cross-functional environment.Why You’ll Like Working for DigitalOceanWe innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.We reward our employees. The salary range for this position is $165,000 - $195,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.This is a remote role",Entry level,Data Scientist
+475,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:The E-Commerce Risk Control (ECRC) team's mission is : To protect TikTok e-commerce users, including and beyond buyer, seller, creator; To make Tiktok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform; Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders.The ECRC team works to prevent and detect any risk attempts in Tiktok e-commerce platforms (e.g. TikTok Shop) and to mitigate the negative impact on our customers and Selling Partners (Sps), covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc.We achieve our mission by a) developing state-of-art Machine Learning (ML) solutions to prevent customers, SPs, and Tiktok from being impacted by bad actors’ actions and practices to gain unfair business advantages; b) empowering Tiktok teams, both internal to GNE and external, to reduce risk attempts by utilizing our mechanisms.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms. Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams. Collaborate with multidisciplinary teams to enhance current automation processes. Build efficient data querying infrastructure for real-time and offline analysis. Identify opportunities to strengthen risk defense solutions. Define risk control metrics and promote data-driven practices. Align teams and stakeholders on numeric goals for risk control. Document technical processes and effectively communicate results through writing, visualizations, and presentations.QualificationsMinimum Qualifications: Master's degree in Computer Science, Engineering, Operations Research, or related fields. Current or recent graduate with a background in Computer Science, Computer Engineering, or a related technical discipline Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning. Experience with Python, SQL/Hive, and Hadoop Strong understanding of data structures and algorithms, with excellent problem-solving ability Detail oriented, effective time management, and strong analytical skillsPreferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications Internship experience or research experience, especially in e-commerce, risk control domian Curiosity towards new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilitiesTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2025 Start (MS)
+476,2024-12-11,San Francisco,California,sync.,https://synclabs.so/,"We’re a team of artists, engineers, and researchers building controllable AI video editing tools to unbound human creative potential.
+
+Our research team builds AI video models to understand and affect fine-grained, controllable edits on any human in any video. Our product team makes these models accessible to everyone from everyday people, professional editors and animators, developers, and businesses large or small to reach new audiences and tell outstanding stories.
+
+Our technology is used to automate lip-dubbing in localization processes in entertainment, create dynamic marketing campaigns personalized to individuals or communities, animate new characters to life in minutes instead of days, fix mistakes in post-production by making word-level edits to avoid rerecording entire scenes, and more – this is just the beginning.
+
+In the last 12 months we graduated at the top of our YC batch (W24), raised a $5.5M seed backed by GV, won the AI grant from Nat Friedman and Daniel Gross, scaled to millions in revenue – and we're only just getting started.
+
+For more information, visit https://synclabs.so/","About Sync.sync. is a team of artists, engineers, and scientists building foundation models to edit and modify people in video. Founded by the creators of Wav2lip and backed by legendary investors, including YC, Google, and visionaries Nat Friedman and Daniel Gross, we've raised 6 million dollars in our seed round to evolve how we create and consume media.Within months of launch our flagship lipsync API scaled to millions in revenue and powers video translation, dubbing, and dialogue replacement workflows for thousands of editors, developers, and businesses around the world.That's only the beginning, we're building a creative suite to give anyone Photoshop-like control over humans video – zero-shot understanding and fine-grained editing of expressions, gestures, movement, identity, and more.Everyone has a story to tell, but not everyone's a storyteller – yet. We're looking for talented and driven individuals from all backgrounds to build inspired tools that amplify human creativity.About The RoleWe're seeking an exceptional ML Engineer to expand the boundaries of what's possible with AI video manipulation. You'll work with the creators of Wav2lip to build and extend computer vision pipelines giving users unprecedented control over humans in video.What You'll Do Create novel CV features that unlock new forms of video manipulation Build ML pipelines that understand and modify humans in video Transform research breakthroughs into production capabilities Design systems that make complex AI feel like magic to users Pioneer new approaches to fine-grained video controlWhat You'll Need 5+ years implementing computer vision and ML systems that users love Deep expertise in PyTorch and video processing pipelines Track record of shipping novel ML features from concept to production Ability to bridge cutting-edge research with practical applications Strong collaboration skills across research and engineering teamsPreferred Qualifications Experience with face/human detection and tracking Background in generative AI or video understanding History working with large-scale video datasets Open source contributions to CV/ML projectsOur goal is to keep the team lean, hungry, and shipping fast.These are the qualities we embody and look for:[1] Raw intelligence: we tackle complex problems and push the boundaries of what's possible.[2] Boundless curiosity: we're always learning, exploring new technologies, and questioning assumptions.[3] Exceptional resolve: we persevere through challenges and never lose sight of our goals.[4] High agency: we take ownership of our work and drive initiatives forward autonomously.[5] Outlier hustle: we work smart and hard, going above and beyond to achieve extraordinary results.[6] Obsessively data-driven: we base our decisions on solid data and measurable outcomes.[7] Radical candor: we communicate openly and honestly, providing direct feedback to help each other grow.Compensation Range: $145K - $225K",Mid-Senior level,Machine Learning Engineer
+477,2025-04-07,Basking Ridge,New Jersey,Collabera,http://www.collabera.com,"In our relentless pursuit of greatness, we are dedicated to developing individuals, creating exceptional teams, and cultivating a unique culture of unity and care. As providers of digital talent solutions, we aim to positively impact businesses and communities globally. We would be honored to be your trusted and uncommon partner on this journey.","About Collabera:Collabera is a leading global technology services and solutions provider committed to delivering high-quality, innovative solutions to our clients. Our diverse, global talent helps clients transform every aspect of their business and achieve exceptional results. We achieve success through collaboration and the use of our digital platforms. With AI, our extensive talent network and in-depth learning solutions on the newest technologies, we provide the best Talentforce for today, tomorrow, and the next ERA.Location: Charlotte NC, Hybrid - 3 days a week onsite, 2 days remoteAbout the Role:Join our innovative team as a AI Machine Learning//LLM Engineer, you will be responsible for designing, developing, and deploying scalable AI solutions. You will work with a team of skilled professionals to create and optimize AI models, leveraging state-of-the-art technologies in cloud-native architectures and generative AI frameworks. Your expertise in API development, real-time data streaming, and distributed computing will be crucial in delivering high-performance AI applications.Key Responsibilities:Develop and implement APIs using FastAPI, Unicorn, and Swagger to support AI and machine learning applications.Design cloud-native architectures for scalable and efficient deployment of AI models.Utilize generative AI frameworks such as LLaMA and Mistral to create innovative solutions.Optimize and deploy AI models on GPU clusters, leveraging parallel processing for deep learning and generative AI applications.Implement multi-GPU training and distributed computing frameworks like TensorFlow Distributed, PyTorch Distributed, and Horovod to enhance AI/ML workloads.Configure and manage NVIDIA GPU and Google Cloud Platform (GCP) resources, including TPUs and GPU instances.Utilize Apache Spark (PySpark) and Kubernetes for distributed data processing and orchestration.Implement real-time data streaming solutions using Apache Kafka.Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.Qualifications:Proven experience in AI/ML engineering, with a focus on large language models (LLMs) and generative AI.Strong proficiency in Python and experience with frameworks like Django.Hands-on experience with distributed computing frameworks and multi-GPU training.Knowledge of cloud platforms, especially GCP, and experience configuring GPU and TPU instances.Familiarity with Apache Kafka for real-time data streaming.Experience in optimizing AI models for performance and scalability.Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.Preferred Qualifications:Experience with Apache Spark (PySpark) and Kubernetes.Familiarity with Unicorn and Swagger for API development.Previous experience with LLaMA, Mistral, or similar generative AI frameworks.Why Join Us?Be part of a high-impact team at the forefront of technology and finance transformation.Opportunity to work on cutting-edge engineering projects with top-tier tools and frameworks.Collaborate with a team of experts passionate about driving innovation in financial technology.How to Apply:If you're passionate about machine learning and Generative AI, and you're looking to make a significant impact in a forward-thinking financial institution, we'd love to hear from you. Please submit your resume and a cover letter detailing your relevant experience and interest in the role.",Mid-Senior level,Machine Learning Engineer - Gen AI
+478,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safetyQualificationsMinimum Qualifications: Current or recent graduates with a background in Computer Science, related technical field or equivalent industry experience Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Experience in Deep Learning Tools such as tensorflow/pytorch Experience with at least one programming language like C++/Python or equivalent Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employmentTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $177000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (eCommerce Recommendation) - 2025 Start (BS/MA)
+479,2025-04-02,Manorville,New York,Talent Vine,http://talent-vine.io,"Founded on integrity, Talent Vine is the “anti-agency” recruiting firm empowering early and growth stage companies with the support needed to find the right talent for the right role at the right time.","Software Engineer (Full Stack) – Early CareerAbout the CompanyOur client is a venture-backed startup transforming how the government and private sector collaborate to solve some of the world’s most complex challenges—starting with national security. Their AI-powered platform streamlines government contracting by surfacing the most relevant grants, awards, and opportunities for innovative companies. Backed by top-tier investors and recently selected for a strategic partnership by the Defense Innovation Unit, they’re growing quickly and hiring early-career engineers to help build the next generation of tools in this space.About the RoleOur client is seeking a full stack engineer who’s excited to own meaningful projects from day one. This is an ideal opportunity for a new grad or someone with 1–3 years of experience who’s eager to work in a fast-paced, mission-driven environment.As an engineer, you’ll work across the stack to build and iterate on features used by real customers—including engineers, operators, and business leaders navigating the world of public sector technology. You’ll also engage with the founding team, interface directly with users, and have a clear path to impact.What You’ll DoDevelop and ship full-stack features across the frontend, backend, and infrastructureWrite production-level code primarily in Python and ReactCollaborate closely with the engineering team and company leadershipInterface with customers to understand pain points and improve the productBuild tools to process, analyze, and display large datasetsContribute to the design of scalable, intuitive software systemsOperate with autonomy in a startup environment where speed and ownership matterWhat We’re Looking For0–3 years of professional experience (new grads welcome)Strong proficiency in Python and ReactFamiliarity with tools like Django, AWS, Spark, or similar frameworksSolid fundamentals in software engineering and CS principlesGreat communication skills and ability to collaborate across teamsStrong sense of initiative and ownershipU.S. citizenship (required)Willingness and ability to work on-site in BostonBonus Points ForExperience with ML, LLMs, or building data pipelinesPersonal or open-source projects that demonstrate curiosity and technical abilityExperience working in startups or early-stage environmentsWillingness to travel occasionally for user engagementWhy Apply?This is a unique opportunity to help build software that directly supports national priorities—while growing your career in a fast-moving, high-ownership engineering environment. You’ll work side-by-side with experienced engineers and founders, with real room for growth and impact.",Entry level,Software Engineer (Early Career)
+480,2025-03-30,Pittsburgh,Pennsylvania,Gecko Robotics,http://www.geckorobotics.com/,"Gecko Robotics is the pioneer of AI + Robotics [AIR technology], transforming how the world builds, operates, and maintains its most critical infrastructure for a more reliable and sustainable future. Using fixed sensors and robots that climb, crawl, swim, and fly, we combine first-order data layers with the predictive power of AI into a single source of truth for the physical world. Cantilever® is our operating platform, powered by AIR technology, that empowers teams to achieve operational excellence through actionable data for immediate and long-term planning.
+
+Improve operations. Optimize capital outlay. Extend asset life. That's our promise.","What We DoGecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role at a Glance As a Machine Learning Engineer at Gecko, you will be working with Gecko’s unique dataset to develop and deploy machine learning models to solve critical business problems. You will work deeply on problems such as: classifying valid vs. invalid signals; taking accurate measurements from valid signals; and identifying damage mechanisms such as cracks, corrosion, or laminations across a large collection of signals. Gecko owns a growing repository of mechanical integrity data, including large volumes of ultrasonic, imagery, and other data points concerning the integrity of critical infrastructure assets worldwide.Gecko is expanding our Machine Learning team to better leverage the vast data store we have collected over time. This is a chance to be one of the first dedicated engineers in an area we expect to grow significantly over the next few years, within a space that is ripe for innovation and solving problems in a way they haven’t been attempted before.What You Will DoDevelop novel (supervised and unsupervised) ML models to help solve important business problems, becoming an expert in unique domains like ultrasonic digital signal processing for non-destructive testing.Roll out models to production by developing integrations with mission critical analytical tools and building the necessary ML Ops infrastructure to support high quality iteration.Help Gecko identify new problems we could tackle with AI/ML (such as defect detection, automated repair planning, and more) and help cultivate necessary training sets to start solving those problems.Technologies We UsePython, PyTorch, NumpyDocker, GCP, Cloud Run, Batch, CollabUltrasonic DSPWe use a variety of technologies, but our Software teams primarily operate using Python, React, and Typescript with Google Cloud Platform (GCP) as our cloud provider. This is a non-exhaustive list and we are tech agnostic in our interview process, so we encourage you to apply regardless of your background.About YouRequired Skills 5+ years of engineering experience, with at least 3+ years in a dedicated machine learning rolePractical knowledge of machine learning algorithms and frameworks suitable for time-series analysis and anomaly detection in signal dataAbility to read and implement ML papersKnowledge of at least 1 machine learning framework (i.e. PyTorch) and has seen at least one ML model in productionFamiliarity with MLOps conceptsA strong sense of intellectual curiosity, and the desire to dive deep into exploratory projects alongside production ready deploymentsPreference for projects with high ownership, and the ability to work effectively both autonomously and on teamsDesire to have a high impact at a fast-moving startup as a key contributor on a new project and fast-growing teamExceptional communication skills and commitment to receiving and providing continuous feedbackBachelor’s degree in Computer Science or closely related field (or equivalent experience)Preferred SkillsExperience with PyTorchExperience with MLOps tools such as MLFlowKnowledge of signal processing techniquesMachine Learning work in ultrasonic signals, audio signals, or another unconventional domain Evidence of clear impact and growth in a fast-growing startup environmentWho We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off.Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.",Mid-Senior level,Machine Learning Engineer
+481,2025-03-06,San Francisco,CA,Corelight,https://www.corelight.com,"Corelight transforms network and cloud activity into evidence so that data-first defenders can stay ahead of ever-changing attacks.
+
+Delivered by our open NDR platform, Corelight’s comprehensive, correlated evidence gives you unparalleled visibility into your network. This evidence allows you to unlock new analytics, investigate faster, hunt like an expert, and even disrupt future attacks.
+
+Our on-prem and cloud sensors go anywhere to capture structured, industry-standard telemetry and insights that work with the tools and processes you already use. Corelight’s global customers include Fortune 500 companies, major government agencies, and research universities.
+
+Get started >> https://www.corelight.com/contact","Do you want to help make the world safe from cyber attack?At Corelight, we believe that the best approach to cybersecurity risk starts with the network. Attackers can evade endpoint detection, firewalls and many other technologies - but they can't avoid leaving digital footprints on the networks they traverse. Built on open-source innovations from Zeek, Suricata and YARA and refined through years of real-world use, Corelight transforms network footprints from physical, virtual and cloud networks into actionable insights. Our customers use these insights to speed incident response and proactively hunt for threats.We are building a world class and uniquely targeted team to drive research through data science and security expertise. The ideal candidate will use their strong analytic skills and awareness of network and cloud security data to drive novel, durable, and effective threat detection. Corelight can define the data our sensors generate, you will have the opportunity to contribute to how we extend the data itself to enable new types of analysis asneeded. You will be able to look back a year from now and say two things with pride: first, ""I helped to build that."" and second, ""We are generating insights that no one else in the world has achieved.""As a Machine Learning Engineer within Corelight Labs, you will work closely with data scientists and network security experts to explore, design, build and deliver machine learning solutions for challenging network security problems. You will play a crucial role in the exploration and development of the ML capabilities powering our product offerings.ResponsibilitiesContribute to the full range of stages of AI/ML projects, from early explorations to productization and maintenance.Work closely with data scientists and network security experts to design and implement scalable ML pipelines for large datasets.Design and implement strategies to deploy LLMs and for fine-tuning.Conduct experiments, analyze results and resource consumption using various metrics and visualization techniques.Drive adoption of ML development best practices in code health, quality, test stability and maintainability.Participate in technical discussions within the Labs team and collaborate with other teams across the organization.Work in an Agile development team focused on exploring and delivering ML use cases.Minimum QualificationsStrong appreciation for our core values: low ego results, tireless service, and applied curiosity.3+ years experience developing, optimizing, troubleshooting, and maintaining large-scale machine learning systems.Experience in DevOps and/or MLOps: continuous integration and delivery, automation of ML workflows, and deployments to production environments.Understanding of data preprocessing, feature engineering and machine learning algorithms.Understanding of model testing and validation techniques for ensuring model quality and performance.Experience in Python and data science libraries (Pandas, Scikit-Learn, Keras, PyTorch, Tensorflow).Experience using Docker and/or Kubernetes, and containerized applications.Excellent communication skills to work effectively in a team.Degree in Computer Science or related fields, or equivalent experience.Preferred QualificationsExperience adopting and using Agile development tools and methodologies, and working in a distributed team.Experience with local deployments and fine-tuning of LLMsFamiliarity with the network security domain.Experience using feature stores and ML frameworks like Kubeflow, Cortex, Seldon, or BentoML.Experience in designing and implementing data pipelines using Apache Spark.Experience with cloud computing, especially Databricks and AWS Services (EC2, S3, Cloudwatch)Experience with experiment tracking and reproducibility tools.Fueled by investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight, Corelight is the fastest growing network detection and response platform in the industry. Our customers trust us to protect mission-critical assets in leading enterprises, government, and research institutions worldwide. We are leading the way with AI-assisted workflows, machine learning models, cloud security and SaaS-based solutions to arm defenders with the tools and knowledge they need to disrupt cyber attacks. Our team of passionate innovators are dedicated to solving some of the toughest challenges in cybersecurity, while fostering a collaborative, inclusive, and growth-oriented culture. Corelight is committed to a geographically distributed yet connected employee base with employees working from home and office locations around the world. At Corelight, we are proud of our diversity of background and thought, and we're united by our strong shared culture and values.We are looking forward to meeting you. Check us out at www.corelight.comNotice of Pay Transparency:The compensation for this position may vary depending on factors such as your location, skills and experience. Depending on the nature and seniority of the role, a percentage of compensation may come in the form of a commission-based or discretionary bonus. Equity and additional benefits will also be awarded.Compensation Range$153,000—$188,000 USD",Entry level,Machine Learning Engineer
+482,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team IntroductionThe Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly TikTok users around the world. Our mission is to build a world where ""there is no hard-to-sell good-priced product in the world"".We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. This Internship Program Runs For 12 Weeks Beginning In May/June 2025. Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.ResponsibilitiesImprove the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales. Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.QualificationsMinimum Qualifications:Currently pursuing an Master in Computer Science or a related technical disciplineAble to commit to working for 12 weeks during Summer 2025Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.Preferred QualificationsGraduating December 2025 onwards with the intent to return to degree program after the completion of the internship.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2",Internship,Machine Learning Engineer Intern (Search E-commerce) - 2025 Summer (MS)
+483,2025-04-04,San Francisco,CA,Docusign,http://www.docusign.com,"Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign IAM, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).				","Company OverviewDocusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).What you'll doDocusign is excited to offer an AI Platform Engineering Internship to a driven and innovative junior college student. The intern will be able to work alongside experienced professionals and contribute to real-world projects that drive our business forward. This position will introduce the intern to various AI/ML technologies, including document understanding, natural language processing, prompt engineering, intelligent search systems, industry-leading LLMs, Python, and Azure, and provide a platform for prototyping and productizing solutions for real business use cases at scale.This role is not eligible for CPT, OPT or sponsorship.This position is an individual contributor role reporting to the Senior Director of Engineering.ResponsibilityCollaborate with Applied Science, Product, and other engineers across multiple offices and time zones to create and deliver new machine learning products and features on timeContribute to the development of AI infrastructure by building highly scalable gRPC-based services to enable offline and online machine learning pipelines, ensuring enterprise-grade security and reliabilityWrite clean, maintainable, efficient code compliant with Docusign standards and best practicesParticipate in code and design reviews, ensuring the quality and maintainability of our codebaseTroubleshoot and resolve issues in our dev, test, and production environmentsDocument code, write technical specifications, and contribute to our internal knowledge baseWork closely with mentors and other team members to achieve project goals and meet deadlinesEngage actively in continuous learning and development in emerging technologies and platformsJob DesignationHybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.What you bringBasicCurrently pursuing a Bachelor’s degree in Computer Science, Information Systems, or a related fieldJunior standing graduating in December 2025, May/June 2026PreferredFamiliarity with scripting languages such as PythonBasic understanding of AIStrong problem-solving abilities and eagerness to tackle complex challengesExcellent communication and interpersonal skillsEnthusiasm for learning and working with different technologies, including AI/MAbility to work effectively in a collaborative team environmentSelf-motivated with a strong work ethic and a desire to learn and growAbility to receive and give feedbackWage TransparencyPay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.Based on applicable legislation, the below details pay ranges in the following locations:Washington, New Jersey and New York (including NYC metro area): $31.00/hour - $38.00/hourLife at DocusignWorking hereDocusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.AccommodationDocusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.Applicant and Candidate Privacy NoticeStates Not Eligible for EmploymentThis position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.Equal Opportunity EmployerIt's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.EEO Know Your Rights poster",Internship,AI Platform Software Engineer Intern
+484,2025-03-19,Alexandria,VA,Whitespace,http://inthewhitespace.com,"We’re a human-centric company known for our data-centric solutions. Our team is on a mission to share the data, techniques, and technology needed to bring the most complex security, risk, and intelligence questions within reach. As perpetual learners, we emphasize training and exposure to new challenges as the keys to unlocking growth, wisdom, and human potential.
+
+OUR PHILOSOPHY: Keep people, technology, and the pursuit of wisdom at the heart of everything we do.
+OUR MISSION: Empower our clients with practical solutions for understanding human activity anywhere in order to advance human security everywhere.
+OUR VALUES: Bold vision guides us. Positive impact drives us. Integrity grounds us. Wear your heart on your sleeve, take ownership, speak up, practice respect, and support each other. Always take your work seriously, but never yourself.
+
+THE FUTURE OF HUMAN SECURITY IS DATA-DRIVEN","At GeoDelphi Inc., we harness the power of commercial data to drive innovation and deliver cutting-edge solutions. As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and expert-machine teaming. Join us in transforming data into actionable intelligence that keeps pace with world events. Learn more about our mission at inthewhitespace.com.We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT. The Tactical Surveillance, Reconnaissance, and Tracking (TacSRT) program leverages commercial satellite imagery and advanced analytics to provide timely situational awareness and operational planning products to combatant commanders. Your expertise will help support this mission by uncovering hidden activities within data and delivering actionable information. Our ideal team member will have mathematical and statistical expertise as well as an inquisitive and creative mind. As you mine, interpret, and clean the data, we will rely on you to ask questions, connect the dots, and uncover opportunities for TacSRT and their mission. In this role, you will collaborate closely with the TacSRT team, contributing to a shared vision and making a tangible impact on national security and operational effectiveness.Remote/Hybrid Work Arrangement:If you reside within the DMV (DC, Maryland, Virginia) area: This position requires you to work in our Alexandria VA office 2-3 days a week. The remaining days can be worked remotelyIf you reside outside of the DMV area: This position is 100% remoteTravel: Up to 10% travel may be required to locations such as Los Angeles, CA, Colorado Springs, CO, or the DMV areaOn Call: There may be occasional weekend requests from the client. Our team member must be willing to be on call for weekend requirements.The candidate MUST be a US citizen and reside in the contiguous United States. The candidate must be a W2 employee of GeoDelphi, Inc. No 3rd party applications.RequirementsRESPONSIBILITIESCollect and analyze statistics and information from multiple sources to identify trends and gain maximum insight that can give the client a competitive advantage and communicate informed conclusions and recommendations across an organization's leadership structureStrategize and identify unique opportunities to locate and collect new dataExplore and mine data from many angles and determine what it meansCommunicate data findings to the customer to provide critical information that will assist their approach and meet the business challenges of an evolving customer base and changing marketplace, using strong business acumenCollaborate with the engineering and research & development teams to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issuesIdentify and recommend new uses for existing data sources; design, modify, and build new data processesImplement new or enhance existing software designed to access and handle data more efficientlyConduct scalable data research on and off the cloudBuild large and complex data setsExperienceA minimum of 5 years of experience in data science with a focus on geospatial data analysisConducts statistical modeling and experimental design, tests, and validates predictive modelsExperience with data visualization tools to deliver interactive, mission-critical products to internal and external stakeholders and clientsDesired SkillsExperience with Geographic Information Systems such as QGIS or ArcProExperience with Python geospatial data analysis tools such as GeoPandasKnowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysisSpecialized training from any intelligence collection and analysis school or certification to include GEOINT Professional Certification, Activity Based Intelligence CertificationBenefitsMedical, Dental, and Vision plansUnlimited PTOFederal Holiday Paid Leave12 weeks of paid Parental LeaveEmployer paid STD/LTDEmployer Paid Life Insurance401K plan and Employer MatchProfessional Development AssistanceEquity Incentive Plan Who we are:GeoDelphi, Inc. dba Whitespace is building an Agentic AI, Iris, for global leaders. Recognized as the most innovative company in the Geospatial Industry, Whitespace exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming. Our answers are rooted in truth data about human activity, delivering reliable decision advantage that keeps pace with world events. Whitespace is headquartered in Alexandria, Virginia. For further information, visit: http://www.inthewhitespace.com.GeoDelphi Inc.. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, pregnancy, gender identity, national origin, disability, or Veteran status.",Mid-Senior level,Data Scientist
+485,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.TikTok's immersive experience, global presence, and high engagement makes it the ideal destination for brands, big and small, to showcase their unique identity, connect with their consumers, and build strong lasting relationships over time. Our Brand Ads team focuses on enabling brands to grow and succeed on TikTok by creating cutting-edge monetization products that empowers users, creators, and advertisers.The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting.We are looking for seasoned engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with a globalized engineering and product teams in a high-impact and fast-paced environment.What You'll Do Create innovative monetization products that drive engagement and revenue. Participate in the development of a large-scale Ads system. Participate in the development and iteration of Ads algorithms by using Machine Learning Work on NLP and CV related technology for content understanding and taxonomy. Contribute to the success of a rapidly growing and evolving organization with speediness and quality.QualificationsQualifications: BS degree in Computer Science, Computer Engineering or other relevant majors, with 3+ years of related work experience Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python. Ability to think critically and to formulate solutions to problems in a clear and concise way. Relevant professional experience with machine learning, data mining, data analysis, distribution system Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting. Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack Good product sense and experience designing and implementing product features.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations during our recruitment process. If you need assistance or an accommodation, please reach out to us at yichen.zhang@tiktok.com.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $137750 - $237500 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, TikTok Branding Ads"
+486,2025-03-21,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for a skilled machine learning engineer to help us develop the cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Applied Machine Learning engineer to join our team. As a Machine Learning Engineer, you will conceptualize, design, implement, and validate algorithmic improvements to the catalog system and our product knowledge graph, which is at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams.You will report into the engineering manager on our New Verticals, Catalog ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve catalog building and quality problems such as entity recognition, entity resolution, attribute extraction, category classification, and image classification.Partner with engineering, product, and business strategy leaders to help shape our ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in building product knowledge graphs.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Mid-Senior level,Machine Learning Engineer - New Verticals Catalog
+487,2025-04-09,New York,NY,Venmo,http://www.venmo.com,"At Venmo, we’re working to build a payment experience that's simple, delightful and connected. Since our founding in 2009, we’ve quickly grown from an idea hatched by two college roommates who wanted a better way to pay each other back to the go-to digital wallet that’s known and loved by millions. What started off as a simple SMS platform to send and receive money has evolved into a social payments app allowing people to pay, split and share their experiences.","The CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Description Summary:Meet Your Team PayPal is transforming global commerce. Our Engineering team is the heart of this transformation. We’re building innovative solutions that delight customers and drive business growth. Join our dynamic engineering team at PayPal, where you’ll have the opportunity to collaborate with talented peers and work on high-impact projects in an agile environment. We're not just building systems; we're creating scalable, high-performance solutions that make a real difference in global commerce. We prioritize code quality, customer focus, and rapid iteration. Our engineers work closely with design, product, and QA teams to deliver world-class experiences.Job Description:Your way to impactAt PayPal, Backend Software Engineers are the architects of our global payment platform. You'll design, develop, and optimize core systems that power millions of transactions daily, directly impacting our customers' experiences and our company's success.Your day-to-dayAs a Software Engineer, Backend Python you'll contribute to building robust backend systems. You'll collaborate closely with experienced engineers to learn and grow your skills.Develop and maintain backend components.Write clean, efficient code adhering to coding standards.Participate in code reviews and provide feedback.What Do You Need To BringBachelor's degree in Computer Science or related field.2+ years of backend development experience. Strong foundation in programming concepts and data structures.Proficiency in at least one backend language (Python)Proficiency in backend development using Python frameworks, with experience in technologies such as frameworks like Django and Flask.Strong understanding of web services and Service-Oriented Architecture (SOA) standardsExperience with databases (SQL, NoSQL)Preferred QualificationsExperience with large-scale, high-performance systems.Knowledge of the payment processing industry and relevant regulations.Experience with cloud platforms (AWS, GCP, Azure).Contributions to open-source projects.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspxCommitment to Diversity and InclusionPayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.Belonging at PayPal:Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please Join our Talent Community.We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.Notice to Applicants and Employees who reside within New York city. Click https://careers.pypl.com/Contact-Us/default.aspxto view the notice.REQ ID R0124673",Not Applicable,"Associate Software Engineer, Backend Python"
+488,2025-03-19,Mountain View,California,Applied Intuition,https://www.appliedintuition.com,"Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines.
+
+Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market.
+
+18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo.","About Applied IntuitionApplied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: this is not applicable for EpiSci roles).About The RoleWe are looking for a software engineer with expertise in perception for autonomous vehicles or mobile robots. Your contributions will focus on building out key capabilities of perception modules within an autonomous vehicle stack. You will also drive the design and development of computer vision and machine learning techniques to enable self-driving vehicles to navigate.In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!We are hiring for all levels.At Applied Intuition, you will:Design and implement capabilities and workflows for cutting-edge real-world perception systemsWork closely with our sensor simulation team to ensure we build the best range of multi-fidelity simulation modelsWork closely with our infrastructure team to provide the best enterprise software for engineering, testing, and customer product teamsWe're looking for someone who has:Passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systems3+ years of experience building software components or (sub) systems that address real-world perception challengesHands-on experience with more than one domain relevant software frameworks or tools, such as middleware, benchmarking suites, data sets and related pipelines, or algorithmic librariesDeep understanding of the concepts and methods behind any frameworks or libraries that they worked withExperience working with production level ML and DL perception algorithms for autonomous vehiclesNice to have:MSc or PhD in perception or closely related fieldDeep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, computational geometry, numerical analysis, or distributed systemsExperience building and shipping software frameworks or toolsThe salary range for this position is $65,000 USD to $400,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.",Entry level,ML Perception Software Engineer
+489,2025-04-09,Boston,MA,The TalentHaus,www.thetalenthausinc.com,"The TalentHaus specializes in developing innovative and streamlined people solutions that empower organizations of all sizes to scale on demand. We recognize that the talent acquisition process can often be expensive, complex, and time-consuming. To address these challenges, we’ve implemented a range of tailored delivery approaches designed to maximize results while minimizing risk and cost.
+
+Our comprehensive solutions include, but are not limited to:
+•	Recruiting for Recruiters (R4R)
+•	Recruitment Process Outsourcing (RPO)
+•	Sourcing Engine
+•	Contingency and Retained Search
+•	Start-Up Consulting
+
+We pride ourselves on offering flexible contracts that adapt to the unique needs of each client, ensuring a seamless and effective partnership. At The TalentHaus, we are committed to helping you achieve your hiring goals efficiently and cost-effectively.
+
+Founded in 2018 as Prevision Personnel, we quickly established ourselves as a premier talent acquisition partner. We have collaborated with companies across numerous verticals to help meet diverse hiring goals. In 2022, we chose to rebrand our company as “The TalentHaus” to incorporate our candidate-centric segment, Talenthaus University. In order to deliver top talent, we provide candidates with the tools and assistance needed to illuminate their backgrounds in the best light and prepare them for the competitive interview process. Our business is built off a shared obsession to consistently deliver results for our customers and candidates. We love building companies the right way and strive to partner with companies that share the same passion for their business and people! We are a one-stop shop for candidates and clients looking to find the right match.
+","Our client is an exciting Generative AI Start-Up at the forefront of innovation, transforming industries with cutting-edge AI solutions. Leveraging advanced machine learning and artificial intelligence, they are redefining how businesses operate by building next-generation AI applications that drive automation, efficiency, and customer engagement. They are seeking a Machine Learning Engineer to enhance their AI capabilities and contribute to groundbreaking advancements in Generative AI.What do we need? We are looking for a highly skilled Machine Learning Engineer with deep expertise in Generative AI models, AI/ML frameworks, and cloud-based infrastructure. The ideal candidate will have at least five years of experience developing, training, and deploying machine learning models in production, with a strong emphasis on generative models, transformers, and AI-driven applications.This role requires a strategic thinker and hands-on developer who can translate business challenges into GenAI-powered solutions. The Machine Learning Engineer will be instrumental in designing scalable ML pipelines, optimizing generative models, and driving continuous innovation in AI applications.What will you do? Generative Model Development: Design, develop, and fine-tune Generative AI models (e.g., transformers, diffusion models, GANs, VAEs) to create innovative AI applications.Algorithm Optimization: Enhance model accuracy, efficiency, and scalability through advanced tuning, feature engineering, and data preprocessing.Data Pipeline & Infrastructure: Build and maintain scalable data pipelines to support large-scale model training, real-time inference, and multimodal AI applications.Model Deployment & Integration: Deploy and integrate Generative AI models into production systems, ensuring high performance and minimal latency.AI Tool Utilization: Leverage cutting-edge AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, and LangChain to accelerate development and optimize model performance.Performance Monitoring & Continuous Improvement: Monitor AI model performance in production and implement iterative improvements for enhanced accuracy and efficiency.Cross-Functional Collaboration: Work closely with AI researchers, software engineers, and product teams to build and deploy state-of-the-art GenAI applications.Research & Innovation: Stay ahead of advancements in Generative AI, exploring novel architectures and methodologies to enhance business impact.Who you are Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.5+ years of experience in machine learning, AI, or deep learning, with a strong focus on Generative AI.Strong proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, Hugging Face, and Scikit-learn.Expertise in transformers, large language models (LLMs), generative adversarial networks (GANs), diffusion models, and multimodal AI.Proven experience deploying GenAI models in production (e.g., OpenAI, Stable Diffusion, LangChain, or similar).Strong background in cloud platforms (AWS, Azure, Google Cloud) and scalable ML infrastructure.Experience with NLP, computer vision, and multimodal AI applications.Excellent problem-solving and analytical skills, with a track record of turning AI research into real-world applications.Strong communication and collaboration skills, with the ability to work across teams.Why Join?Be at the forefront of Generative AI innovation, working with cutting-edge technologies and AI experts.Shape the future of AI-driven applications within a fast-growing, high-impact company.Work on real-world AI challenges that push the boundaries of automation and intelligence.Competitive compensation package with performance-based incentives.Career growth opportunities in a dynamic and fast-growing AI company.If you are passionate about Generative AI and eager to create impactful AI-driven applications, we encourage you to apply!",Mid-Senior level,Machine Learning Engineer
+490,2025-03-26,San Mateo,California,Guidewire Software,https://www.guidewire.com,"Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. More than 570 insurers in 42 countries, from new ventures to the largest and most complex in the world, rely on Guidewire products. With core systems leveraging data and analytics, digital, and artificial intelligence, Guidewire defines cloud platform excellence for P&C insurers.
+
+We are proud of our unparalleled implementation record, with 1,700+ successful projects supported by the industry’s largest R&D team and SI partner ecosystem. Our marketplace represents the largest solution partner community in P&C, where customers can access hundreds of applications to accelerate integration, localization, and innovation.
+
+For more information, please visit https://www.guidewire.com/.","SummaryAt Guidewire, we offer a combination of good working conditions, an excellent market opportunity, a rational and meritocratic company culture, quality software products, and a long history of careful hiring have allowed us to create an enviable work environment.Our Machine Learning team here at Guidewire is responsible for building Machine Learning Systems and Tools that make Guidewire products more intelligent and helps deliver analytics at scale. We are constantly faced with results-oriented challenges in the areas of Natural Language Processing, Deep Learning, Risk Modeling and Operational Analytics. You will be working in a team of 10 of data scientists and engineers who hunt down non-obvious datasets and apply ML techniques to enhance more traditional insurance underwriting processes.Job DescriptionYour day-to-day:Be part of a cross-functional team implementing Generative AI (GenAI) solutions for some of the most critical business needs in the insurance industry. Design, test and build GenAI infrastructure for guidewire Large Language Models (LLMs). Create data solutions, prompt engineering for models, fine tuning and deploying LLMs.Guidewire’s GenAI team is the center of excellence for machine learning and AI. This role is a great opportunity for individuals motivated by learning cutting edge technologies and their application to solve real world business problems. Guidewire is the AWS for insurance companies that use our platforms and applications. The GenAI solutions developed by you and this team will be used by hundreds of insurance companies and impact billions of dollars in annual transactions.Requirements0+ years of professional experience working in Machine Learning and Data Science.Bachelor’s or Master’s Degree in Computer Science, or equivalent level of demonstrable professional competency.Proficient with Python programming language. Knowledge of ML Ops good practices for model development, deployment and monitoring.Familiar with AWS cloud technologies such as S3, EC2, RDS, etc.Good understanding of statistical learning algorithms such as GLM, XGBoost, and Random Forest to solve real world business problems.Familiarity with the setup and use of various open source LLM foundation models.Prompt engineering and fine tuning concepts for LLM performance.Creating and using vectorized databases for data storage and retrieval.Familiarity with various LLM architecture patterns such as RAG and FLARE.Understanding of LLM performance evaluation and monitoring using NLP and LLM-assisted metrics.Preferred SkillsData engineering experience with SQL, Spark or AWS Glue.Experience using Docker or Kubernetes to deploy containerized applications.Experience using TeamCity and Terraform for infrastructure setup and CI/CD.Insurance industry or related experience such as banking and finance.The US base salary range for this full-time position is $80,000 - $144,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail Accommodations@guidewire.com to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.About GuidewireGuidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.",Not Applicable,Machine Learning Engineer
+491,2025-03-28,Ridgefield Park,NJ,Samsung Electronics America,http://www.samsung.com/us/,"Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays.
+
+We’re committed to keeping co-prosperity at our core through creating human-centric innovation, empowering the next generation and serving the communities where we live and work. As an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, SEA is dedicated to positively impacting the environment through its eco-conscious products, practices and operations. ","Position SummarySamsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team.Location: Mountain View, CARole and ResponsibilitiesLead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market.Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.Mentor junior engineers and provide technical guidance.Learn quickly and adapt to a fast-paced working environment.Experience RequirementsMaster’s or PhD degree in Computer Science or related fields.4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.Solid theoretical background in machine learning and/or data mining.Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).Hands-on experience with production-grade machine learning solutions.Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).Extensive programming experience in Python, Go, or other OOP languages.Familiarity with data structures, algorithms, and software engineering principles.Proficiency in SQL and databases.Strong communication and interpersonal skills to drive cross-functional partnerships.Preferred Experience RequirementsPublications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).Basic knowledge about Amazon Web Services (AWS).Experience with the advertising industry and real-time bidding (RTB) ecosystem.The salary range for this role, for candidates based in California, is expected to be between $ $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.Reasonable Accommodations for Qualified Individuals with Disabilities During the Application ProcessSamsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.",Mid-Senior level,Machine Learning Model Engineer - Advertising - Recommendation Systems
+492,2025-03-29,San Francisco,California,Together AI,https://together.ai,"Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models. We believe open and transparent AI systems will drive innovation and create the best outcomes for society.","RoleAs an ML Engineer within the Fine-Tuning API team at Together AI, you will develop a platform that allows our users to customize open-source models with their data. You will collaborate with our product and research teams, developing features that will enable new use cases for the Fine-Tuning API. You will also work with the engineering team to ensure that our API is reliable and well-integrated into the company’s technical infrastructure. You will have an opportunity to build the foundational layer of the open-source AI ecosystem, letting developers all over the world efficiently create high-quality models tailored to their application scenarios.ResponsibilitiesBuild and improve Together’s systems and infrastructure for customizing open-source modelsCreate tooling and documentation to set our users up for success with the Fine-Tuning APIMake sure the service is stable and robust, participating in an on-call rotation and ensuring 24/7 availability of our platformAnalyze and increase the efficiency of fine-tuning methods, both from research and engineering perspectivesDevelop new features and capabilities for the API based on latest research in AIRequirementsHave 2+ years of experience building and deploying machine learning-based services in a production environmentHave working knowledge of latest methods for fine-tuning LLMs or other AI modelsHave a strong software engineering background in Python or GoAre passionate about making reliable and convenient tools for software developersFollow latest advances and trends in the Machine Learning communityExperience in any of the following will make you stand out:Developing large-scale and high-load production systemsImplementation and design of advanced methods for efficient fine-tuningMaintaining or contributing to open-source ML projectsManaging machine learning workloads on Kubernetes clustersAbout Together AITogether AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.CompensationWe offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.Equal OpportunityTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.Please see our privacy policy at https://www.together.ai/privacy",Entry level,"Machine Learning Engineer, Fine-Tuning API"
+493,2025-03-22,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our team is responsible for developing cutting-edge NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform. More specifically, our team is responsible for the algorithms of Intelligent Customer Service under TikTok's global e-commerce business.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTokInternships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 or August/September 2025 (Select May if Summer or August if FallPlease state your availability clearly in your resume (Start date, End date).Summer Start Dates:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23Fall Start Dates:Monday, August 11Monday, August 25Monday, September 8Monday, September 22Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Applying LLMs for a variety of multilingual and multimodal scenarios of e-commerce business; Establishing a generative-based AI chatbot that is capable of resolving post-sale issues and achieving pre-sale interactive consultations; Text generation, including product titles and descriptions, dialogue summary, auto-replying of emails and tickets, etc.; Machine translation, including optimizing translation quality in dozens of scenarios and language pairs in the e-commerce scenarios, as well as the research of related cutting-edge technologies.QualificationsMinimum Qualifications: Currently pursuing a Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline; Experience with software development in at least one of the following programming languages: C++, Python, Go, Java; Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.Preferred Qualifications: Experience in NLP and LLM technologies; Proficient in using at least one mainstream deep learning framework such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods; Aware of certain processing methods and optimization experience on domain adaptation, small sample construction, text mining, unsupervised/semi-supervised, and other similar issues; Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT, etc.), have practical experience in deep learning training and reasoning model tuning; Experience in large-scale text data processing or cleaning (Such as using Hadoop/Spark/Hive/Flink).TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $57.75- $57.75.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (E-commerce-Intelligent Customer Service) - 2025 Summer/Fall (MS)
+494,2025-04-02,Plantation,Florida,Chewy,http://careers.chewy.com,"At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. 
+
+We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
+
+We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
+
+At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
+
+Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
+
+We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
+
+We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.","Our OpportunityWe are seeking a talented and passionate Machine Learning Engineer II to join our growing team. In this role, you will play a crucial part in building and deploying machine learning solutions that empower our Chewy Customer Care teams. As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning lifecycle, from data preparation and model development to deployment and monitoring. You will have the opportunity to work on diverse projects and contribute directly to the success of the company.What You'll DoDesign and implement robust data pipelines for efficient data ingestion, processing, and feature engineering.Ensure data quality and consistency for model training and inference.Work with large datasets and apply data scaling techniques.Select and build appropriate machine learning models based on business requirements and data characteristics.Train and evaluate models using various techniques and metrics.Fine-tune models to achieve optimal performance and efficiency.Deploy machine learning models to production environments, ensuring scalability, reliability, and maintainability.Implement monitoring and alerting systems to track model performance and identify potential issues.Optimize models for inference speed and resource utilization.Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions.Optimally communicate technical concepts and findings to both technical and non-technical audiences.What You'll NeedBachelor's degree in Computer Science, Machine Learning, or a related field.3+ years of experience as a Machine Learning Engineer or in a similar role.Strong programming skills in Python or another relevant language.Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).Experience with SQL and relational databases.Nice To HaveFamiliarity with big data technologies (e.g., Spark, Iceberg, dbt).Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift).Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly).Knowledge of retail and e-commerce.Solid understanding of machine learning algorithms and best practices.Experience with cloud computing platforms (e.g., AWS, Azure, GCP).Excellent communication and presentation skills.Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.If you have a question regarding your application, please contact HR@chewy.com.To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.",Entry level,Machine Learning Engineer II
+495,2025-04-04,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The TV & Web Player Platform team is responsible for developing streaming video players that deliver industry-leading playback experiences within the Netflix app on consumer electronic devices and web browsers. Our players operate on millions of devices, including Smart TVs, streaming sticks, game consoles, set-top boxes, and browsers like Chrome, Firefox, and Edge. We aim to delight our members with innovative playback features and exceptional streaming quality.The TeamThe TV & Web Player Platform team is at the forefront of testing a diverse set of innovative activities related to product feature expansion. This includes creating tests for recent playback features such as Live Streaming, Seamless Ads playback, and Ident innovation. We conduct A/B tests to thoroughly evaluate features and ensure they perform optimally without regressions. We are deeply involved in continuous integration and release management testing of our video player, which is core to our operations. This critical function ensures the delivery of the best streaming experience to our members by maintaining high standards of quality and performance. Our team collaborates with various cross-functional teams across Netflix, including UI, Encoding, Streaming Algorithms, Security, and Open Connect, to support product development and experimentation through rigorous testing.Our team consists of engineers from diverse backgrounds, bringing expertise across multiple disciplines, including embedded systems, streaming media playback, content protection, client-server communication, networking protocols, continuous integration, test automation, experimentation, and software engineering. Our success is driven by self-motivated, collaborative, and curious engineers who prioritize the team's goals.The RoleWe are seeking a software engineer with a strong focus on test development and automation to join our team. Your primary responsibility will be to improve our video player by developing and automating tests to ensure high-quality streaming experiences on both TV and Web devices. In addition to test development, you will collaborate directly with browser vendors to test and validate browsers using the Netflix player and its features, ensuring a seamless user experience.What sets you apart?Passionate about writing and designing tests, recognizing their crucial role in software development.Enthusiastic about collaborating with external partners to troubleshoot and resolve quality issues effectively.Curious and self-motivated, with a willingness to learn, execute, and delve into problems to identify root causes.You seek alternate perspectives to improve your ideas.You can rethink existing designs and rebuild as needed.You use data and seek input from others to inform your decisions. You are selfless, highly collaborative, and willing to help colleagues when in need. What skills are essential to us?Have 3+ years of experience in test development and software development.Excellent communication skills for effective collaboration with cross-functional teams and external partners.Proficiency in JavaScript and Node.jsStrong analytical and problem-solving skills.Experience with A/B testing, developing experiments to test hypotheses, and analyzing data to drive improvements in streaming quality is nice to have.Solid understanding of Streaming media playback or Video players is nice to have.Our cultureRead about the Netflix culture which values freedom and responsibility, enabling us to do our best work.At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.The overall market range for roles in this area of Netflix is typically $100,000 - $720,000.This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Software Engineer 4 - TV & Web Player Platform
+496,2025-04-03,San Francisco,,Unity,https://unity.com/,"Unity (NYSE: U) is the world’s leading platform for creating and operating real-time 3D (RT3D) content. Creators, ranging from game developers to artists, architects, automotive designers, filmmakers, and others, use Unity to make their imaginations come to life. Unity is the foundation upon which the world’s most powerful digital content is created. Specifically, Unity’s platform provides a comprehensive set of software solutions to create, run and monetize interactive, real-time 2D and 3D content for mobile phones, tablets, PCs, consoles, and augmented and virtual reality devices. 
+In the fourth quarter of 2021, Unity had, on average, 3.9 billion monthly active end users who consumed content created or operated with its solutions. The applications developed by these creators were downloaded, on average, five billion times per month in 2021. For more information, please visit www.unity.com. 
+
+Download Unity: http://unity3d.com/get-unity
+We're hiring! Visit our careers site: https://careers.unity.com
+For support, please email: support@unity3d.com
+
+Check us out on our other social channels: 
+Twitter: https://twitter.com/unity
+Facebook: https://www.facebook.com/unity3d/
+Instagram: https://www.instagram.com/unitytechnologies/","The opportunityThe Data & ML Platform team at Unity manages a comprehensive range of data and machine learning systems and tools, covering every stage of the lifecycle—from data ingestion and storage to processing, feature generation, machine learning model training, deployment, and serving. Our work facilitates diverse applications such as simulations, gaming experiences, and improved game monetization. We empower other Unity teams to create exceptional tools and services for our users.We're seeking a talented Senior Data and ML Infrastructure Engineer to join our team. In this role, you will collaborate with engineers, product specialists, and data experts to research, prototype, and develop world-class applications, services, and pipelines, leveraging over 60 billion daily data events.What You'll Be DoingDesign and optimize large-scale data platforms and machine learning infrastructure systems for efficiency, reliability, and cost-effectiveness.Lead improvements in infrastructure tooling by researching, prototyping, and implementing solutions that enhance operational excellence and development agility.Implement next-generation ML Ops capabilities in our model training, deployment, and serving pipelines.Champion infrastructure optimization projects across the company, driving significant cost savings while maintaining or improving service performance.Engage in on-call rotations, utilizing your deep understanding of infrastructure to identify and resolve complex issues quickly, minimize impact, and prevent future occurrences through automation and system enhancement.What We're Looking ForExperience in infrastructure and back-end engineering, with a track record of building robust distributed systems.Daily hands-on experience with model training, deployment, experimentation, and serving tools for machine learning.Deep understanding of cloud infrastructure using GCP, AWS, or Azure and proficiency in either Go, Java, or Python.Experience with the latest data and machine learning technologies such as Google's Vertex AI, Ray, and SageMaker.Experience in building Kubernetes infrastructure stacks, experience from either the ML or Data domain and its associated technologies is advantageous.You might also haveAn 'in-it-together' mentality that appreciates engineering as a collective effort.Hands-on experience with tools such as Vertex AI, Protobuf, Kafka, Flink, BigQuery, Druid, Feast, Kubeflow, Ray, or KServe.Experience with Terraform, ArgoCD, GitHub Actions, and similar tools used for CI/CD.Additional InformationRelocation support is not available for this position.International relocation support is not available for this position.Work visa/immigration sponsorship is available for this position.Life at UnityUnity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit www.unity.com.Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.#SENNote: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.Gross pay salary$111,000—$211,300 USD",Mid-Senior level,"Senior Software Engineer, Data & ML Infrastructure"
+497,2025-03-28,San Francisco,California,Scale AI,https://scale.com,"At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 
+
+The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
+
+Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. ","The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.We are building a large hybrid human-machine system in service of ML pipelines for Federal Government customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.You will:Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers. Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines Work with massive datasets to develop both generic models as well as fine tune models for specific products Build the scalable ML platform to automate our ML service Be a representative for how to apply machine learning and related techniques throughout the engineering and product organizationBe able, and willing, to multi-task and learn new technologies quickly This role will require an active security clearance or the ability to obtain a security clearance.Ideally You’d Have:Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment Solid background in algorithms, data structures, and object-oriented programming Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch Nice to Haves:Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience with generative AI models Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$224,400—$293,250 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$201,960—$263,925 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.",Entry level,"Machine Learning Engineer, Public Sector"
+498,2025-03-25,Boise,Idaho,Micron Technology,http://www.micron.com,"Micron is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence (AI) and compute-intensive applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more about Micron Technology, Inc. (Nasdaq: MU), visit micron.com.","Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.Build and maintain data/solution pipelines. Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence. Design and optimize data structures in data management systems (Hadoop, Snowflake, and Cloud platforms) to enable AI/ML solutions. Build custom software components and analytics applications. Work with Data Scientists to implement strategies for cleaning and preparing data for analysis, develop data imputation algorithms, and optimize performance of big data and machine learning systems.Employer will accept a Bachelor's degree in Electrical Engineering, Computer Science, Nuclear Engineering, Software Engineering, or Business Analytics or related field and 1 year of experience in the job offered or in a Machine Learning Engineer-related occupation.Position Requires Data Engineering/processing, Business Intelligence and Advanced analytics. Relational databases and SQL. Databases (Oracle, MSSQL,Snowflake, or BigQuery). Building scalable ETL pipelines with big data processing and/or developing applications and data sources (Apache Ni-Fi, Airflow, or Kubeflow). Algorithms and Data Structures. Applying algorithms and core computer science concepts to real-world systems. Concurrent programming, client-server and distributed systems, and software testing and security. Java, Python, and Object-Oriented Programming. API styles, software architecture, and human-computer interaction. Various frameworks and processes, such as Agile. Integrated Development Environments, and revision control systems including GIT. Deep learning models using scikit-learn, pytorch or keras/tensorflow. Linux, UNIX or MacOS environment. Collecting application metrics (e.g. Splunk). Semiconductor manufacturing data. File Manipulation, console commands, and shell scripting. Experience developing a Machine Learning program in Python for classification or regression. Experience with one or more Machine Learning frameworks such as Scikitlearn, Pytorch or TensorFlow. Experience with Deep Learning models for computer vision, image processing, signal processing, LLMs, NLP or equivalent deep learning application.As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.To learn about your right to work click here.To learn more about Micron, please visit micron.com/careersFor US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.",Entry level,Machine Learning Engineer
+499,2025-04-05,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!Adobe Firefly’sGenerative AI Servicesteam is seekingSeniorMachine Learning Engineersfor our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers.Job ResponsibilitiesDesign and evelopmentof core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products. Design and buildML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaboratewith Adobe Research and other model developer teams with a focus on model inference strategies and productization of those modelBuild and optimizeGPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability. Foster a culture of innovation, technical excellence, and continuous improvement across the organization. What You’ll Need To SucceedMS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 5+ years of experience in machine learning, including production-scale deployments. 2+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization). Experience with GenAI frameworks and tools such asPyTorch, CUDA, Triton, TensorRT,Nvidia Dynamo, and Python. Good understanding of generative model architectures, includingdiffusion models, transformers, and GANs. Good communication and leadership skills, with a track record of driving alignment in matrixed organizations. Preferred QualificationsExperience withmodel serving, inference, orchestration, and GPU resource managementin large-scale environments. Hands-on expertise inKubernetes, distributed systems, and MLOps platforms. Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,"Machine Learning Engineer, Adobe Firefly Services"
+500,2025-04-09,Atlanta,GA,Optomi,http://www.optomi.com,"Established in 2012, Optomi is committed to providing superior IT Talent Services via contract, contract-to-hire, and team augmentation models. Our delivery teams are aligned by competencies focused on 7 key areas in technology: Business Optimization, Software Engineering, Cloud & Infrastructure, Cyber Security, Data Modernization, ServiceNow, and Emerging Technologies. Our skillset-focused approach allows our recruiting teams to become experts within their space and streamline the hiring process. We save you time and money by accelerating your hiring process as our delivery team truly understands your needs and only brings you the right talent for your team.
+
+Optomi is an official ServiceNow® partner.","Important Notes:Due to the nature of this opportunity, visa sponsorship or application through a 3rd party/employer will not be considered.Only candidates residing in, or willing to relocate to either Seattle, San Francisco, Glendale, or New York City will be considered, due to a hybrid-in office requirement.Machine Learning Engineer (Databricks, Snowflake, Python)Optomi, in partnership with a fortune 100 entertainment organization, is seeking a Machine Learning Engineer to join a highly collaborative Data Science Engineering team. This role involves working closely with data scientists, software engineers, and analytics teams to build and deploy scalable machine learning pipelines and model-driven solutions. The ideal candidate will have a strong background in data engineering, machine learning frameworks, and cloud-native technologies.What the right candidate will enjoy!The opportunity to design and deploy scalable ML systems in a cutting-edge cloud-native environment!Exposure to large-scale data and modern tools like Databricks, Snowflake, and Spark!A collaborative Agile culture that supports continuous improvement and experimentation!Experience of the right candidate:Bachelor’s Degree in Computer Science, Mathematics, or a related technical field required.5+ years of experience in a Machine Learning Engineering or Data Science/Engineering role.Hands-on experience with data engineering and MLOps practices.Proficiency in Python and SQL for data pipelines and analytical queries.Strong experience working with Spark, Snowflake, dbt, and AWS.Proven ability to build, train, and deploy ML models using frameworks like SparkML, scikit-learn, and PyTorch.Experience with CI/CD pipelines and DevOps practices (e.g., GitHub, Airflow).Familiarity with Databricks, PySpark, MLflow, and feature store development is a plus.Understanding of data governance, privacy, and compliance considerations.Responsibilities of the right candidate:Design and implement scalable batch and streaming pipelines for feature engineering.Integrate new data sources into existing systems while maintaining high data quality and governance.Collaborate with data scientists to build, validate, and optimize ML models.Deploy machine learning models into production environments and monitor their performance.Optimize existing pipelines to improve efficiency and reduce runtime.Follow engineering best practices around code quality, testing, and deployment.Partner with cross-functional teams to identify opportunities to improve or automate data workflows.Participate in Agile ceremonies including sprint planning, estimation, and retrospectives.",Mid-Senior level,Machine Learning Engineer
+501,2025-04-08,Mumbai,MH,LTIMindtree,https://ltimindtree.com,"LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 86,000+ talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
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+LTIMindtree is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities regardless of race, ethnicity, nationality, gender, gender identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability, or any other characteristic protected by applicable law. 
+
+Please note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge candidates any registration fees or other fees for appearing in interviews or securing employment/internships. Candidates are solely responsible for verifying the credentials of any agency or consultant claiming to work with LTIMindtree for recruitment purposes. Please note that anyone relying on representations made by fraudulent employment agencies/consultant does so at their own risk. LTIMindtree disclaims any liability for loss or damage suffered as a result of such actions. 
+
+For more info, please visit ltimindtree.com.","About Us:LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com.Job Title: Data ScientistLocation:Remote / Orlando, FLJob Description: · Experience applying AI/ML/DL methods and algorithms across various business functions.· Skilled in model optimization, evaluation, and selection techniques.· Strong Python coding skills.· Experience with machine learning platforms· Experience applying AI/ML/DL methods and algorithms across various business functions.· Skilled in model optimization, evaluation, and selection techniques.· Strong Python coding skills.· Proficient in machine learning libraries (e.g., scikit-learn, TensorFlow, Keras, XGBoost) and algorithms.· Advanced knowledge of statistics and tools for data analysis (e.g., numpy, pandas, Matplotlib, etc.).· Proficiency in SQL for data extraction, transformation, and analysis, including complex joins, CTEs, aggregations, and analytical functions.· Proven ability to communicate technical business requirements to non-technical end users.· Strong organizational skills and the ability to prioritize and meet multiple deadlines within a fast-paced environment.Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):Benefits and Perks:Comprehensive Medical Plan Covering Medical, Dental, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid Paternity and Maternity LeaveThe range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office:In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.",Mid-Senior level,Data Scientist
+502,2025-03-31,Mountain View,California,Applied Intuition,https://www.appliedintuition.com,"Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines.
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+Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market.
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+18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo.","About Applied IntuitionApplied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: this is not applicable for EpiSci roles).About The RoleWe are looking for a machine learning engineer with strong industry experience who is looking to implement and productionize cutting-edge research across our core product pillars. You will help position Applied Intuition as the most advanced vehicle software supplier to the largest OEMs in the world. You will work with a team of world-class software and machine learning engineers who are developing capabilities that will revolutionize the way that people interact with vehicles. At Applied Intuition, we encourage engineers to take ownership of technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture.At Applied Intuition, you will:Leverage the latest advancements in machine learning to develop new systems for autonomy development workflows.Work across our entire stack to develop new products, features, and tools for our end users.Work closely with customers to identify additional areas across the product suite where AI/ML techniques can provide significant value.We're looking for someone who has:A Bachelor's degree in computer science, physics, robotics, or related fields from a top institution2+ years of experience working with ML techniques including but not limited to NLP, computer vision, reconstruction algorithms, image generation, or multi-modal models. Nice to have:Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA. Experience building software for technical end users.A Master’s degree or PhD in computer science, physics, robotics, or related fieldsCompensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $222,000 USD annually.Candidates more specifically interested in perception roles can also apply here.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.",Entry level,Software Engineer - Machine Learning
+503,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for candidates who brave difficulties, share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.SkillsInternships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 . Successful candidates must be able to commit to one of the following summer internship start dates below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23Please state your availability clearly in your resume (Start date, End date).Key Responsibilities Participate in the development of a large-scale Ads system Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc Participate in the development and iteration of Ads algorithms by using Machine Learning. Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering Research and develop Ads pacing algorithms, ads traffic control, etc Partner with product managers and product strategy & operation team to define product strategy and featuresQualificationsMinimum Qualifications: Pursuing a BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environmentPreferred Qualifications Experience in and a good understanding of one of the following domains: Search, Ads, Recommendation, Monetization Products, Shopping Products.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $45- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (Search Ads) - 2025 Summer (BS/MS)
+504,2025-04-04,South San Francisco,CA,Calico Life Sciences,http://www.calicolabs.com/,"Calico is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. We will use that knowledge to devise interventions that enable people to lead longer and healthier lives. 
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+Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline together create an inspiring and exciting place to catalyze and enable medical breakthroughs.
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+Calico is currently seeking exceptional candidates who share our passion for understanding the science of aging and developing therapeutics to address age-related diseases.
+
+Explore with us! https://www.calicolabs.com/careers
+","Who We AreCalico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.Position DescriptionCalico is seeking a machine learning engineer to develop innovative machine learning algorithms to model and design proteins. This person will work with a team of dedicated experimental biologists to design experiments to test, and iteratively refine machine learning predictions.The ideal candidate should be familiar with state-of-the-art machine learning techniques, including language/sequence modeling, representation learning, generative models, and self-supervised learning techniques. Candidates should have experience implementing, extending, and debugging state of the art machine learning models, and have expertise in designing and building robust data infrastructure and tools. Candidates should be independent, self-motivated and be expected to explore relevant ML literature and apply novel approaches to various protein design problems at Calico. Candidates must demonstrate a strong ability to communicate ideas and results through publications and presentations and be able to work cross-functionally to execute on complex projects.Position RequirementsPh.D. in Computer Science, Computational Biology, or related technical field; OR M.S. in Computer Science, Computational Biology, or related technical field, plus 2+ years industry experienceExperience in applying deep learning to model biological sequences and structuresExpert in TensorFlow, PyTorch, and/or JAXStrong software engineering skills and substantial expertise in PythonTrack record of outstanding communication and collaboration in a cross-functional environmentStrong analytical and quantitative skillsMust be willing to work onsite at least four days a weekNice To HavesDomain expertise in computational biology, biochemistry or structural biologyFamiliarity with state-of-the-art structure modeling tools such as AlphaFoldPublic recognition in the field, e.g. via scientific publications or success in machine learning competitionsPrior experience working with biologistsPrior experience working as a ML Engineer/ScientistThe estimated base salary range for this role is $170,000 - $181,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.",Mid-Senior level,Machine Learning Research Scientist / Machine Learning Engineer
+505,2025-03-21,Boston,Massachusetts,Acceler8 Talent,http://www.acceler8talent.com/,"Acceler8 connects the top AI companies with the talent to scale fast, reach milestones, and secure funding so you can launch your AI products with confidence. We're at the forefront of connecting exceptional talent with ground breaking opportunities. We operate as the driving force behind visionary AI startups, actively shaping the future of technology across the Bay Area, Boston, New York, and beyond. 
+ 
+Our expertise spans a diverse array of tech specialties, including ML Research & Engineering, Software for ML Platforms, Semiconductor & Chip Design, Silicon Photonics, High Performance Computing, and Machine Learning Compilers. We serve as the catalyst for talent, ensuring that our clients have access to the most qualified professionals to propel their innovations forward. We'll build the team that turns your vision into reality.
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+Are you ready to Acceler8?🚀Contact us today! https://www.acceler8talent.com/contact-us/
+
+_____________________________________________
+
+Important Notice: Scam Alert Targeting Job Seekers
+ 
+We want to inform our network about a scam that is currently targeting job seekers through platforms like WhatsApp and LinkedIn. Please be aware that these messages are not from us or any of our employees. Rest assured, we are actively monitoring this situation and are taking it very seriously.
+ 
+If you have any doubts or concerns, please contact us directly through our official website https://www.acceler8talent.com/ or email us at info@acceler8talent.com. Please do not submit any personal information via links that are not from our official website.","Machine Learning Engineer (Computer Vision) - Denver, COA Denver based start up working with cutting-edge AI and computer vision technology are on the lookout for a Machine Learning Engineer to join their team.What you'll be doing:Design and implement robust computer vision solutionsDevelop and refine machine learning models for classification and identificationWork on complex technical challenges involving real-time video processing and analysisCollaborate with a dynamic team to enhance and scale our AI-powered systemsWhat we'd love to see:Strong academic backgroundExperience developing and deploying production-ready computer vision systemsProficiency in deep learning frameworks and image processing librariesTrack record of solving complex technical problems in computer visionAbility to optimize ML models for real-world performance and accuracyStrong coding skills and experience with modern software development practicesWhat's in it for you:Competitive salary range: $130,000-$185,000 USD (based on experience)Generous equity package - be part of our growth storyFlexible hybrid work arrangementOpportunity to shape the future of transportation infrastructureWork with cutting-edge AI and computer vision technologyBe part of an innovative startup cultureOther Important InfoLocation: Denver, ColoradoWork Model: Hybrid (3 days in office per week)Position Type: Full-timePlease apply now for immediate consideration.",Mid-Senior level,Machine Learning Engineer
+506,2025-04-02,Boston,Massachusetts,Motional,http://www.motional.com,"Motional is making driverless vehicles a safe, reliable, and accessible reality. 
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+We've been revolutionizing driverless technology for decades. Our DNA - a joint venture between automotive technology expert Aptiv and vehicle manufacturing leader Hyundai Motor Group - uniquely positions us to fundamentally change how the world moves.","On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company.What You’ll Be Doing:You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include:Designing and executing high value experiments based on collaborative input from other machine learning engineersPrototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilitiesTimely release of major model updates, including analysis of both off-line and on-road evaluation dataStaying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literatureMaintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluationWhat We’re Looking For:In-depth understanding of common Machine Learning and Deep Learning algorithmsExperience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object trackingStrong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcomeAdvanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methodsExperience with PyTorch or other python-based deep learning frameworksExperience working with large data sets and deriving insights from dataExperience mentoring and collaborating with othersEducationMasters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experienceBonus PointsPublications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)PhD in machine learning, computer vision, or robotics visionExperience working on autonomous vehicles or related fieldsExperience in deploying models into real-world environmentsStrong programming skills in C++ and/or CUDA programmingThis opportunity can support remote work within the United States, with occasional travel.Working ConditionsWhile performing the duties of this job, the employee is frequently required to convey and detect communicationThe employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipmentThe employee may occasionally move up to 50 poundsThe salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.Salary Range: $146,000 USD - $225,000 USDMotional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.Our journey is always people first.We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.Higher purpose, greater impact.We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.Scale up, not starting up.Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.",Not Applicable,Senior Machine Learning Engineer - Behaviors
+507,2024-10-31,San Francisco,,Magic,https://magic.dev/,"Magic is working on frontier-scale code models to build a coworker, not just a copilot. Come join us: http://magic.dev","Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.About the role:As a Software Engineer working on our pretraining data, you write efficient and robust pipelines for giant, multimodal datasets. You will develop and optimize web scraping techniques to harvest and maintain data at internet-scale.What you might work on:Design & implement multimodal (video, audio, text etc) web crawlers for scraping and indexing petabytes of dataCreate large scale data processing pipelines using tools like Ray, Apache Spark, Apache Flink, Google BigQuery etc. Implement and scale deduplication techniques across modalities and apply heuristic and model-based techniques for parsing and filtering crawled dataIdentify new data sources for inclusion in pre/post-training datasetsWhat we’re looking for:Strong proficiency in distributed computing and parallel processing techniquesObsession with details, reliability, and good testing to ensure data quality and integrityExperience with designing and maintaining high-performance, scalable data architecturesAbility to design, develop and operate an LLM data pipeline from web scraping to data loadingMagic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience.Our culture:Integrity. Words and actions should be alignedHands-on. At Magic, everyone is building Teamwork. We move as one team, not N individualsFocus. Safely deploy AGI. Everything else is noiseQuality. Magic should feel like magicCompensation, benefits and perks (US):Annual salary range: $100K - $550KEquity is a significant part of total compensation, in addition to salary401(k) plan with 6% salary matchingGenerous health, dental and vision insurance for you and your dependentsUnlimited paid time offVisa sponsorship and relocation stipend to bring you to SF, if possibleA small, fast-paced, highly focused team",Entry level,Software Engineer - Pretraining Data
+508,2025-03-29,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
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+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Machine Learning Engineer to join our team. You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment and catalog system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You will report to the engineering manager on our New Verticals ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building.Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Mid-Senior level,Machine Learning Engineer - New Verticals
+509,2025-02-26,Boston,Massachusetts,Acceler8 Talent,http://www.acceler8talent.com/,"Acceler8 connects the top AI companies with the talent to scale fast, reach milestones, and secure funding so you can launch your AI products with confidence. We're at the forefront of connecting exceptional talent with ground breaking opportunities. We operate as the driving force behind visionary AI startups, actively shaping the future of technology across the Bay Area, Boston, New York, and beyond. 
+ 
+Our expertise spans a diverse array of tech specialties, including ML Research & Engineering, Software for ML Platforms, Semiconductor & Chip Design, Silicon Photonics, High Performance Computing, and Machine Learning Compilers. We serve as the catalyst for talent, ensuring that our clients have access to the most qualified professionals to propel their innovations forward. We'll build the team that turns your vision into reality.
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+Are you ready to Acceler8?🚀Contact us today! https://www.acceler8talent.com/contact-us/
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+_____________________________________________
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+Important Notice: Scam Alert Targeting Job Seekers
+ 
+We want to inform our network about a scam that is currently targeting job seekers through platforms like WhatsApp and LinkedIn. Please be aware that these messages are not from us or any of our employees. Rest assured, we are actively monitoring this situation and are taking it very seriously.
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+If you have any doubts or concerns, please contact us directly through our official website https://www.acceler8talent.com/ or email us at info@acceler8talent.com. Please do not submit any personal information via links that are not from our official website.","Machine Learning EngineerJoin our innovative team as a Machine Learning Engineer, where we are at the forefront of revolutionizing hardware engineering with advanced models designed to enhance the design process significantly. Our aim is to autonomously generate cutting-edge hardware designs, pushing the boundaries of efficiency and affordability in the industry.About UsWe are dedicated to transforming hardware design processes, founded by leaders with backgrounds from top-tier institutions and supported by renowned investors. Our team is driven by a mission to streamline hardware design, leveraging expertise from industries intersecting AI and semiconductors.About the RoleAs a Machine Learning Engineer, you will play a crucial role in developing and evaluating extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms. You will structure data for training complex models, optimize both open-source and closed-source models under various constraints, and design innovative search and retrieval algorithms. Your responsibilities will include implementing and evaluating models while addressing challenging engineering constraints like latency and costly model inference.What We Can Offer YouOpportunity to pioneer advancements in hardware engineering through AI integrationCollaborative environment with a focus on innovation and cutting-edge technologyCompetitive salary and comprehensive benefits packageFlexible working hours and potential for remote workProfessional growth opportunities with continuous learning supportChance to contribute to a rapidly expanding field bridging AI and semiconductor industriesKey ResponsibilitiesDevelop and evaluate extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms.Structure data appropriately for training complex models.Build and optimize both open-source and closed-source models, considering various constraints.Design and execute innovative search and retrieval algorithms.Create and implement model evaluations.Address challenging engineering constraints such as latency and costly model inference.Relevant Keywords in ItalicsThe ideal candidate should have a strong understanding of NLP and LLMs, along with strong proficiency in PyTorch. They should demonstrate a proven track record of exceptional data engineering and AI capabilities, including publications in top AI conferences and competitions and experience at leading AI companies and research labs. Additionally, experience in complex ML domains and a passion for solving challenging problems and innovating are crucial.RequirementsStrong understanding of NLP and LLMs.Strong proficiency in PyTorch.Proven track record of exceptional data engineering and AI capabilities.Publications in top AI conferences and competitions.Experience at leading AI companies and research labs.Implemented research papers into production code.Experience in complex ML domains.Passion for solving challenging problems and a hunger to innovate.BonusExperience with code generation models.Background in reinforcement learning.Passion for 0 to 1 challenges and demonstrated drive to excel in the field.This role offers an exciting opportunity to contribute to groundbreaking advancements in hardware engineering while working in a dynamic and collaborative environment. If you are passionate about machine learning and eager to make an impact, we encourage you to apply and join us in transforming the future of hardware design.",Mid-Senior level,Machine Learning Engineer
+510,2024-12-03,Menlo Park,California,Pathway,https://www.pathway.com,"Pathway is building live AI systems that think and learn in real-time as humans do. Underpinned by the fastest data processing engine on the market and an AI framework, it lays the foundations for an organization’s full and evolving AI transformation journey without the need for re-platforming. Pathway is trusted by the likes of NATO, La Poste and Formula 1 racing teams. 
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+Headed by co-founder & CEO, Zuzanna Stamirowska, the team’s leading AI experts include co-founder & CTO Jan Chorowski, co-author of the Nobel Prize winner, Geoff Hinton. Pathway is backed by Business Angel Lukasz Kaiser, who co-authored Transformers (the “T” in ChatGPT) and is the key researcher behind GPT o1 from OpenAI.","About PathwayPathway is an enabler for Live AI, allowing organizations to run contextualized ML models connected to ever-changing enterprise data. In addition to being an infrastructure provider delivering an AI framework, we are working to advance the state-of-the-art.Pathway is VC-funded, with some amazing BAs (such as Lukasz Kaiser, co-inventer of Transformers). Pathway's CTO has co-authored papers with Goeff Hinton and Yoshua Bengio. We have just raised a $10M+ seed, with exciting developments ahead. The management team includes growth leaders who have scaled companies with multiple exits, and who have built online communities reaching millions of users.Out client portfolio is focused around mobility, IoT data, logs and transactions, and also includes larger actors such as NATO and national postal services. We have a vibrant community centered around our developer frameworks, with almost 10,000 stars on GitHub: https://github.com/pathwaycom/Our European offices are in Paris, France and Wroclaw, Poland. Our HQ is in Menlo Park, CA.The OpportunityWe are currently searching for 2 ML/AI Engineers with a solid software engineering backbone who are able to prototype, evaluate, improve, and productionize end-to-end Machine Learning projects with enterprise data.For representative examples of the type of projects you would be expected to create or deliver, see our AI pipelines templates.If you would consider it would be fun to create a hybrid Vector/Graph index that beats the state of the art on a RAG benchmark, to deliver a working AI pipeline to a client in a critical industry, or to pre-process datasets in a way which would boost LLM accuracy in inference & training - this is the job for you!You Willhelp design experimental end-to-end ML/AI pipelinescontribute to addressing new use cases, beyond state of the artimprove/adapt AI pipelines for production, working directly with client data (often live data streams)invent ways to pre-process data sources and perform tweaks (reranking, model paramater configuration...) for optimal performance of AI pipelinesdesign benchmark tasks and perform experimentsbuild unit tests and implement model monitoring contribute high-quality production code to our developer frameworks, used by thousands of developershelp to pre-process data sets for LLM training. The results of your work will play a crucial role in the success of both our developer offering and client delivery. RequirementsCover letterIt's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that.You AreA graduate of a 4+-year university degree in Computer Science, where you have received A-grades in both foundational courses (Algorithms, Computational Complexity, Graph Theory,...) and Machine Learning coursesPassionate about delivering high-quality code and solutions that workGood with data & engineering innovation in practice - you know how to put things together so that they don't blow upExperienced at hands-on Machine Learning / Data Science work in the Python stack (notebooks, etc.)Experienced with model monitoring, git, build systems, and CI/CD Respectful of others Curious of new technology - an avid reader of HN, arXiv feeds, AI digests, ..  Fluent in English Bonus PointsSuccessful track-record in algorithms (ICPC / IOI), data science contests (Kaggle), or a HuggingFace leaderboardShowing a code portfolioPhD in Computer ScienceAuthoring a paper at major Machine Learning conferenceYou like playing/tinkering with new tools in the LLM stackYou are already a part of the Pathway community, or have been recognized for your work in one of our bootcampsWhy You Should ApplyJoin an intellectually stimulating work environment Be a technology innovator that makes a difference: your code gets delivered to a community of thousands of developers, and to clients processing billions of records of dataBe part of one of an early-stage AI startup that believes in impactful research and foundational changesBenefits Type of contract: Full-time, permanent Preferable joining date: January 2025. The positions are open until filled - please apply immediately Compensation: competitive base salary (80th to 99th percentile) based on profile and location + Employee Stock Option Plan + possible bonuses if working on client projects. The stated lower band of EUR 72k/ USD 75k for the salary base concerns senior candidates; mid-senior or mid candidates may be considered with adapted salary bands.  Location: Remote work. Possibility to work or meet with other team members in one of our offices: Paris, France, or Wroclaw, Poland. Possibility to visit our Menlo Park, CA headquarters for several months. As a general rule, permanent residence will be required in the EU, UK, US, or Canada. (Note for candidates based in India: We are proud to be part of the current Inter-IIT as well as a partner of ICPC India. Top IIT/IIIT graduates are more than welcome to apply regardless of current location.)If you meet our broad requirements but are missing some experience, don't hesitate to reach out to us.",Mid-Senior level,R&D AI Software Engineer / End-to-End Machine Learning Engineer / RAG and LLM
+511,2025-03-18,,,Voltai,www.voltai.com,AI models for electronics,"About VoltaiVoltai’s mission is to re-build the physical world through developing super-intelligence to accelerate the pace of hardware innovation. Our focus is to build frontier models that could understand one of the world’s most complex technologies—semiconductor and electronics.About the RoleWe’re looking for a Software Engineer - AI Training Data who thrives in tackling complex challenges and is passionate about building innovative systems for data management. As a Software Engineer at Voltai, your primary responsibility will be to build and optimize the world’s largest semiconductor dataset, leveraging your expertise in software engineering and scalable infrastructure.You will play a critical role in preparing data for our Machine Learning team and developing systems that manage vast amounts of information across various modalities such as text, images, circuits, and more.Key Responsibilities:Build and manage the world’s largest semiconductor dataset.Develop software solutions to efficiently scrape and handle data at an internet scale.Extract and clean information from diverse modalities, including text, images, circuits, simulations, and signals.Prepare and preprocess data for the Machine Learning team.Build systems to handle the transfer of customer data and feedback.Parse documents across various formats and structures.Develop software pipelines for data labelers and manage workloads across large cloud compute clusters.Implement and maintain systems for pre-processing datasets for AI training.Required Skillsets:Proven experience in building scalable software solutions for data pipelines.Expertise in PDF parsing and data extraction.Strong software engineering skills with a passion for improving data and model performance.Experience working with modalities beyond text and demonstrating exceptional work in those areas.Ability to build custom data processing libraries from scratch.Keeping up with state-of-the-art techniques for preparing AI training data.Proficiency in organizing and meticulously managing data across multiple clouds, modalities, and sources.Bonus Points:Background in Electrical Engineering.Experience in connecting machine learning model behavior to data distribution and data quality.Experience in fine-tuning large language models.Experience at a hyper-growth startup.Experience building software systems for training foundation models.Compensation PhilosophyAt Voltai, we believe that exceptional work deserves exceptional rewards. Our compensation structure is designed to reflect the value each team member brings to our pioneering efforts in the semiconductor and AI industries. For this role, we offer a highly competitive market-rate salary, tailored to the candidate's experience, expertise, and potential impact. Our approach ensures that compensation aligns with individual contributions and the long-term success of our mission.Our BenefitsAt Voltai, we believe in taking care of our team so they can focus on pushing the boundaries of innovation. Our benefits package is designed to support your well-being and fuel your professional growth.Unlimited PTO: We trust you to manage your time and know when you need a break. Recharge when you need it, no questions asked.Comprehensive Health Coverage: Your health matters. We offer top-tier medical and dental insurance to keep you and your loved ones covered.Commitment to Your Growth: At Voltai, we’re dedicated to your continuous learning and development. Whether it’s through challenging projects or opportunities for professional advancement, we invest in your journey to becoming a leader in your field.Visa Sponsorship: We support international talent and offer visa sponsorship to help you join our team, no matter where you are in the world.",Mid-Senior level,Software Engineer - AI Training Data
+512,2024-06-21,San Francisco,CA,Dashworks,https://www.dashworks.ai,Dashworks AI unlocks your company’s internal knowledge. Break down information silos and get accurate answers from all your work applications in seconds.,"About DashworksDashworks is an intelligent assistant designed to integrate with your workflow seamlessly. It connects with your work apps to instantly answer work-related questions, generate content, debug code, summarize emails and projects, find documents, and more. It's like having a copilot for work that's just one click away.We’re on a path to redesigning the future of knowledge sharing at work. We have a unique opportunity to build a category-defining product (and company!) that millions use daily.We have reached a pivotal stage in our journey:After launching our knowledge assistant for work in July, we're now growing our customer base and product rapidly. We've successfully secured deals with notable companies, including Swiggy and Podium. We also released some case studies of customers like Podium and HeyGen automating up 80%+ of their Slack questions using Autopilot. We've raised over $9.5m from top investors in Silicon Valley, such as Y Combinator, and founders/operators from companies like Dropbox, Retool, and Twitch. We have a small but exceptional team with high talent density from Stanford AI Lab, Meta AI, and Glean. Joining right now would mean you ride the wave of explosive top-of-the-funnel growth yet get meaningful equity in a pre-series A startup.Our team's mission is to make humanity omniscient with an AI that can answer any work-related question. In this role, you’ll explore and push the boundaries of what’s possible with ML and how it can improve our daily work lives. As an early engineer to join our team, you'll have the opportunity to materially impact and scale the company's product, team, and culture. You'll get to drive key product initiatives end to end and work alongside exceptionally strong co-workers who learn quickly and ship quality work.ResponsibilitiesDesign, develop, and deploy improvements to our core Dashworks assistant. Examples of projects we're tackling include query understanding, intent classification, retrieval, ranking, fine-tuning LLaMa with QLoRA, and prompt engineering. Write clean, efficient, scalable code, adhering to best practices and industry standards. Perform thorough code reviews and provide constructive feedback to peers. Create and maintain comprehensive documentation for AI-driven features, systems, and processes. Continuously research and stay up-to-date with the latest trends, techniques, and best practices in AI, full-stack development, and software engineering. Contribute to improving product development, proposing and implementing new ideas and technologies. Mentor and guide junior developers, helping them grow professionally and technically. RequirementsBachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred. 5+ years of full-stack software development experience, strongly focusing on AI-driven products and applications. Experience working on high-impact, customer-facing products or applications. Proficiency in modern programming languages and frameworks like Python or similar. Experience with natural language processing (NLP) and computer vision techniques. Demonstrated expertise in AI and machine learning concepts, techniques, and tools. Experience with RESTful API design and development. Strong understanding of databases and data modeling, including experience with SQL and NoSQL databases. Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud. A proactive and results-oriented mindset with a strong sense of ownership and accountability. What You’ll Love About UsWe're working hard to create an environment where people feel empowered to do their best work, make a significant impact, and enjoy what they do. As an early employee, you'll have a massive say in defining the engineering organization, our vision, and our culture. You'll also have uncapped opportunities for growth, learning, and exposure to different business areas.Here are Dashworks' essential benefits:A competitive salary - regularly reviewed to make sure you're always getting what you deserve. Meaningful pre-Series A share options - you'll own a part of Dashworks and share in our successHome office setup + hardware/software coverage: get a laptop and whatever hardware, software, or services you need and are reasonable to do your jobInterview Process30-minute chat for us to learn about your ideal role and past technical achievements and for you to learn about our vision, current stage, and next milestonesTwo 1-hour long technical interviews involving system design, coding, and debugging30-minute interview to see if we have a mutual cultural fitChatting with two of your references: your previous coworkers/managers. We offer you to chat with our references as well: investors, advisors, customersOffer: 3 alternatives with a range of equity and base compensation options. We’ll also answer all your questions about business, finances, cap table, engineering, and anything else you need to make this life-changing decision (for both you and us!)We move fast through the entire process and aim to complete all the above steps within 3-5 days. We will make an offer to only exceptional candidates whom we have strong conviction in their technical skills and fit for the role.",Mid-Senior level,Software Engineer - Machine Learning
+513,2025-04-03,New York City,New York,Celonis,http://www.celonis.com,"Celonis makes processes work for people, companies, and the planet.
+
+The Celonis Process Intelligence Platform takes the data from the systems you already use, and presents you with a living digital twin of your end-to-end processes. It’s system-agnostic, without bias, and provides everyone with a common language for understanding and improving processes. 
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+Because when processes work, everything works. 
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+Since 2011, Celonis has helped 1,000+ of the world’s largest companies to realize value across the top, bottom, and green line.
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+Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Find out more at www.celonis.com.","We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us.The TeamCelonis AI Group (CeloAI) is a newly formed organization within Celonis that is dedicated to developing state-of-the-art AI/ML (and broadly intelligent) technologies for Celonis products (e.g., the Execution Management System / EMS) and empower enterprises and institutions to make intelligent business decisions and achieve operational excellence. Our dual mission focuses on both the immediate term goals of designing and implementing advanced AI/ML product features and solutions for our customers and the long term goals of establishing competitive advantages of Celonis for execution management.We are a global organization with presence in both Germany and the US. CeloAI US has its main presence in New York, NY but also remote presences across the US.The RoleAs a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches. You may interact closely with solution engineers, customer value architects, and execution management consultants within the Go-to-Market organization and product managers and software engineers within the product and engineering organization to build scalable and high quality AI/ML features and solutions for our customers.You may also be responsible for designing and implementing new foundational technical components that will power the next generation of EMS and elevate the impact Celonis has on our customers. These components may span the areas of computer vision, natural language processing, data mining, recommendation, knowledge base, business intelligence, and other AI technologies.The work you’ll doDeeply understand the business needs of Celonis customers, formulate the business needs into concrete technical problems, often AI relatedDetermine which AI/ML approach, if any, is suited for the problemDesign and develop scalable and high quality AI/ML models or otherwise intelligent approachesDesign and implement scalable and robust data collection mechanismsDesign and implement principled evaluation mechanismsDesign and build robust and low latency infrastructure to serve the AI/ML models and meet the demands of Celonis customersDesign and develop intelligent techniques to understand, represent, and integrate enterprise operational data (e.g., processes)Design and build APIs and infrastructure to serve such data at scale and with low latencyDesign and implement intelligent ways to ensure freshness and accuracy of such data across thousands of enterprise customers.The Qualifications You NeedBachelor’s degree or equivalent practical experience (in Computer Science or related fields), Master’s degree and PhD degree a plusStrong communication and collaboration skillsIdentify with the Celonis value of customer first, passionate about solving real world customer problems with a focus on finding the right solution regardless of the nature of the solutionPassionate about developing scalable and efficient AI/ML solutionsPassionate about building high quality AI/ML solutions with clear and repeatable evaluation mechanismsThe base salary range below is for the role in the specified location, based on a Full Time Schedule.Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.The base salary range below is for the role in New York, based on a Full Time Schedule.$146,000—$178,000 USDWhat Celonis Can Offer You:The unique opportunity to work with industry-leading process mining technologyInvestment in your personal growth and skill development (clear career paths, internal mobility opportunities, L&D platform, mentorships, and more)Great compensation and benefits packages (equity (restricted stock units), life insurance, time off, generous leave for new parents from day one, and more). For intern and working student benefits, click here.Physical and mental well-being support (subsidized gym membership, access to counseling, virtual events on well-being topics, and more)A global and growing team of Celonauts from diverse backgrounds to learn from and work withAn open-minded culture with innovative, autonomous teamsBusiness Resource Groups to help you feel connected, valued and seen (Black@Celonis, Women@Celonis, Parents@Celonis, Pride@Celonis, Resilience@Celonis, and more)A clear set of company values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our FutureAbout Us:Celonis helps some of the world’s largest and most esteemed brands make processes work for people, companies and the planet. With over 5,000 enterprise customer deployments across nearly every industry, the Celonis Process Intelligence Platform uses process mining and AI to give you a living digital twin of your business operation. It’s system-agnostic and without bias, and empowers companies to reduce waste, create value and benefit people across the top, bottom, and green lines. Since 2011, the Celonis platform has enabled its customers to identify more than $18 billion in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.Get familiar with the Celonis Process Intelligence Platform by watching this video.Data Privacy, Equal Opportunity, and Accessibility InformationCelonis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment and equal opportunity in all aspects of employment. We will not tolerate any unlawful discrimination or harassment of any kind. We make all employment decisions without regard to race/ethnicity, color, sex, pregnancy, age, sexual orientation, gender identity or expression, transgender status, national origin, citizenship status, religion, physical or mental disability, veteran status, or any other factor protected by applicable anti-discrimination laws. As a US federal contractor, we are committed to the principles of affirmative action in accordance with applicable laws and regulations. Different makes us better.Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’  Statements on Data Privacy, Equal Opportunity and Accessibility.Please be aware of common job offer scams, impersonators and frauds. Learn more here.By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.",Not Applicable,Software Engineer - Machine Learning
+514,2025-03-22,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safetyQualificationsMinimum Qualifications: Final year or recent graduates with a background in Computer Science, related technical field or equivalent industry experience Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Experience in Deep Learning Tools such as tensorflow/pytorch Experience with at least one programming language like C++/Python or equivalent Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employmentTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $106590 - $139650 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (eCommerce Recommendation) - 2025 Start (BS/MA)
+515,2025-03-05,San Diego,California,Seasats,https://www.seasats.com/,"Seasats builds and operates high-endurance, user-friendly autonomous surface vehicles (ASVs) that collect data for defense, research, and commercial customers. Seasats vehicles carry sensors into places that are either too dangerous or too expensive to reach with crewed vessels, drastically reducing operational risks and costs.","About SeasatsWe are a nimble, highly technical business that provides defense, scientific, and commercial customers with maritime robotics solutions. Our primary products are autonomous surface vehicles (ASVs) built to carry sensors at sea for months at a time.The company is located in sunny San Diego and includes talented engineers, builders, tinkerers, and business architects. Internally, our work culture is hard working but fun. Externally, we’ve built a reputation for being professional, knowledgeable, and dedicated to getting the job done. For more info, check out seasats.com.Role: Machine Learning Perception EngineerLocation: San Diego, CA (in-office)Salary: $130,000-$150,000 / yr + stock options, 401k matching, and other benefits.Role OverviewSeasats’ vehicles operate in highly remote and often communications-limited environments. To complete persistent missions at scale, the vehicles must be able to operate autonomously, so Seasats has built a reliable and increasingly intelligent autonomy stack incorporating onboard sensors and processing.In this role, you will help take that existing autonomy stack to the next level by spearheading the development and training of advanced perception models. You’ll leverage diverse sensor data—cameras, LiDAR, radar, acoustics —to create robust algorithms that empower our vessels to navigate safely and efficiently in dynamic environments.About YouYou’re deeply curious about how people and machines process data to perceive the world.You have a minimum of 3 years working on perception problems.You have a strong background in computer vision and knowledge of current ML models.You’re comfortable hammering out code in Python, and are well-versed in PyTorch and OpenCV.You’ve worked with foundation models and have trained smaller custom models from trainer models.You’re comfortable deploying algorithms and models to compute-limited edge devices.You’re comfortable working with real-time systems and sensors (cameras, LiDAR, radar, etc.).You have experience working with probabilistic algorithms for obstacle and target tracking.You’re competent at writing simple change detection algorithms for a variety of data types.You’re ok with getting multiple projects to 80% rather than getting one project to “perfect”. Conversely, you take great joy in seeing projects approach perfection over time.You have strong technical communication skills.You’re able to scope projects and features independently and efficiently.Bonus Points If You Have Experience Working WithMaritime data.Radar data.Anomaly detectors.Acoustic spectrogram data.Path planning and control algorithms.Role DetailsYou’ll be joining a growing software team based in San Diego and will be a full-time vehicle perception developer. This team will likely continue to grow, but initially you’ll be the only full-time dedicated perception engineer. As such, you will need to be able to work independently on experiments and collaboratively with the rest of the vehicle software team to incorporate your work into the larger stack. This is an excellent opportunity to do high impact work, see your code go into live field robotics applications, and join a fun and hard-working team on the cutting edge of ocean autonomy.Some Specific Tasks Might IncludeScoping and running ML experiments with clearly measurable end states that would positively impact vehicle performance if successful.Analyzing and organizing datasets from our fleet to drive data-driven development.Communicating scope and goals with the software team to ensure that experiments can fit smoothly and efficiently into the vehicle stack.Leveraging and packaging open-source tools to comply with licensing.Life At SeasatsAlong with your salary, you’ll receive perks including:Stock optionsCompetitive insurance (including a 99% employer-covered Gold HMO plan or other options)401k matching up to 4% of salaryFour free lunches per weekAn employee activity fundA pet-friendly officeUnlimited/Flex PTOWe’ll help you ramp up and will regularly take time to discuss what’s working and what’s not. We’re also big on personal freedoms: if you’re on top of your responsibilities and want the afternoon off to surf or spend time with friends and family, go for it! We have flexible hours, accommodating PTO, and a personable, high-achieving work culture. We want someone who’s excited to work hard and have fun in this environment.Our values are listed below; we’re happy to explain them more during the interview process.Get Stuff DoneBe KindFight EntropyAttack with Overwhelming ForceAsk More QuestionsLines, Not DotsHiring NotesIf you decide to apply, you’ll be asked to provide a resume and answer a few screening questions. If we decide to move forward with your application, you can expect no more than 2-3 more rounds of virtual interviews before a final in-person interview. If you have to travel to San Diego, we’ll reimburse pre-approved travel costs.Please note that we are currently unable to sponsor employment visas, so candidates must be independently authorized to work in the United States.We appreciate diverse perspectives and life experiences, so we encourage women, minorities, and people of all backgrounds to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We look forward to reviewing your application!",Entry level,Machine Learning Perception Engineer
+516,2024-11-25,Philadelphia,Pennsylvania,Treeswift,https://treeswift.com/,"Treeswift empowers utilities with AI-augmented vegetation management that reduces risk and improves reliability across transmission and distribution systems. Treeswift’s backpack and vehicle-mounted sensors seamlessly integrate into existing patrols to gather imagery and LiDAR data. Treeswift’s AI translates this data into actionable analytics and 360° field context for encroachment, strike potential, and failure risk via its software platform for vegetation management experts, arborists, and tree crews. Treeswift was founded in 2020 by a team of AI and robotics PhDs at the University of Pennsylvania.","About TreeswiftTreeswift is revolutionizing decision-making for critical energy infrastructure in the face of rising threats like severe storms and wildfires.After cutting our teeth developing AI models for forests in the timber sector, we are growing rapidly in the utility sector. In the U.S. alone, hundreds of thousands of miles of transmission lines and millions of miles of distribution lines need to be monitored and managed to reduce hazards, such as encroaching vegetation, that can cause outages or fires. With the rapid growth of renewable energy this infrastructure footprint is expected to more than double in the coming years creating more assets to defend than ever before.Treeswift’s mission is to deliver effective scalable technology to manage large-scale distributed infrastructure, starting with managing the risks posed by vegetation surrounding these assets. We do so by innovating across the technical stack. LiDAR and imagery data is collected by our sensor packs mounted on backpacks and vehicles to seamlessly integrate into customer operations. We then leverage AI (i.e. computer vision, etc…) to transform this data into actionable insights delivered to decision-makers in our software platform.We are early in our journey and focused on finding ground truth by working closely with our customers and using this understanding to deliver real value to our customers. To tackle this challenge we have brought together mission-driven robotics experts from top academic institutions (Penn, Caltech, etc…) and professionals with deep industry experience (Palantir) in enterprise software development. We hope you’ll join us.About The RoleTreeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our mission to increase the resilience of our energy systems. We are looking for an exceptional candidate with a proven track record of training and deploying models in a commercial setting.This is a full-time, hybrid/2-day a week in person role, with a strong preference for candidates based out of our NYC or Philadelphia office.Key ResponsibilitiesDevelop machine learning models that revolutionize our customers’ businesses. Treeswift develops machine learning algorithms that upend the cost and accuracy of vegetation management for energy infrastructure. In this role you will be responsible for bringing innovative ideas and rapid execution to new and existing models. In the course of development, you will collaborate closely with other teams (product, operations etc…) and have an opportunity to interact with end-users. Our machine learning model development focuses on two primary areas: (a) LiDAR point cloud models to classify and segment landscapes and infrastructure and (b) image models to derive vegetation attributes such as species and health. Create a best-in-class feedback loop to accelerate model development. You will improve Treeswift’s ability to assess model performance and adapt to new operating conditions at scale. Treeswift’s cutting edge model development involves significant investment in a proprietary dataset to train our models.Help Treeswift scale. In this role you will be expected to bring prior experience with commercial machine learning model development and deployment to help Treeswift cost-effectively scale its technology to serve a growing number of customers and use cases. You will be responsible for enabling effective collaboration on model development within the engineering team, and you will contribute to efforts to ensure reliable and robust performance of models in production.Required SkillsProven track record of training and deploying machine learning models at scale for commercial use cases. Experience in segmentation and object detection of point cloud data or image data.Experience creating, curating, and cleaning training datasetsStrong programming skills in Python Expertise in deep learning libraries such as PyTorch, TensorFlow, or similar.Excellent problem-solving and analytical abilities.Exceptional communication and collaboration skills.Preferred SkillsExperience with semantic mapping. Experience with image processing techniques and computer vision fundamentals.Experience with one or more of: Sensor Fusion, SLAM, Visual Odometry.Building and using cloud-based training and inference pipelines.5+ years of professional experience or 3+ years with an advanced degree. Experience with deep learning training frameworks such as MLflow, Lightning, Weights and Biases, or similar.What We ValueMission first. We value low ego team members who focus on working towards the best outcomes for the customer and the business, regardless of who gets the credit. Truth seeking. We don’t always have perfect information to make decisions, but we seek to constantly get closer to the ground truth and aren’t afraid to learn we were wrong in the process.Owners mindset. If you see an opportunity for improvement, run with it. We believe that good ideas can come from anywhere, no matter your role.BenefitsComprehensive medical, dental and vision insurance Life insurance package and disability coverage Stock optionsPaid leave for new parents Unlimited PTO401KSalaryThe estimated salary range for this position is $160,000-$180,000. Total compensation for this position is determined by skills, qualifications, relevant work experience, location, and other factors. This salary estimate excludes the value of any potential bonuses; the value of any benefits offered; and the potential future value of any long-term incentives. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.Treeswift is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.",Entry level,Software Engineer - ML
+517,2025-03-28,St. Louis,Missouri,Envision,http://www.envision.com,"View our jobs at www.envision.com. 
+Submit resumes to: askus@envision.com.
+
+Are you looking for a rewarding, fun career you can grow in? Are you an IT professional just looking for that perfect fit? Interested in opportunities to work in the Consumer Packaged Goods and Retail markets? Envision yourself in a great job with the help of Envision, LLC! 
+
+Envision prides itself on helping individuals find a great position on the cutting edge of technology - one they will find interesting, challenging and rewarding with top industry salaies and great benefits.
+
+Envision consultants play a key role in forming new business directions for our clients. Envision consultants maintain an exceptional work/life balance with excellent career advancement potential and professional development.
+
+At Envision, we have many jobs – from entry-level jobs to advanced professional careers. Our recruiting team will get to know you on a personal and professional level and help find a fit that makes sense for you both now and in the future. 
+
+At Envision, we are committed to finding our consultants more than “just a job”. Our staff develops long-term, close relationships with our consultants, and we pride ourselves on placing qualified employees in companies that are leaders in their industry.  Companies routinely turn to Envision for the right consultant to fill their needs. 
+
+Our consultants receive prompt attention from our staff, should they need assistance. Envision cares about and values its consultants and recognizes hard work and dedication.
+
+
+We assist companies through hiring the people who make a difference. We offer Contract, Right to Hire and Direct Hire roles, and has proven expertise in IT staffing and Marketing Specialists, including a position that is right for you!
+
+Start your job search at Envision and find top positions at Fortune 500/1000 Companies.","We are seeking a Data Scientist with a STRONG Neo4J background.US Citizens or Green Card Holders ONLY!No C2C No Third Party Vendors.OSITION SUMMARY:The focus is on leveraging Neo4j to create and manage an API backend to provide graph data for efficient and scalable solutions for data management and analysis.POSITION DUTIES & RESPONSIBILITIES:• Design and develop graph database solutions using Neo4j.• Collaborate with cross-functional teams to gather requirements and define database architecture.• Implement data models and schemas optimized for graph traversal and query performance.• Perform data integration and migration tasks to incorporate various data sources into the graph database.• Develop and maintain Cypher queries for data retrieval and manipulation.• Monitor and optimize database performance to ensure scalability and reliability.• Provide technical support and troubleshooting for database-related issues.REQUIREMENTS/PREFERENCESEducation Requirement(s):• Minimum: Bachelor's degree in Computer Science, Information Technology, or related field.• Preferred: Master's degree in Computer Science, Information Technology, or related field.Skill & Competency Requirements:• Experience in graph database development.• Expertise in Neo4j and Cypher query language.• Strong understanding of graph theory and data modeling.• Experience with data integration and migration.• Proficiency in database performance optimizationPreferences:• Experience with other graph databases and related technologies.• Experience with software development. Especially APIs (Rest/GraphQL)• Knowledge of data visualization tools and techniques.• Familiarity with cloud-based database solutions.",Mid-Senior level,Data Scientist
+518,2025-04-01,London,England,Parallel Consulting,http://www.parallelconsulting.com,"We are Parallel! 
+
+Parallel is an international, award winning trusted staffing partner to clients across the United States, DACH, Benelux and Nordic regions, where we deliver comprehensive Recruitment services across Infrastructure, Analytics, Software engineering and IT Security.
+
+Driven by our mission of bridging technology with the future, we provide global and local solutions for our clients around the world. 
+
+We have specialized solely in technology & analytics from the start, focusing on selected markets and building deep understanding of the needs, opportunities, challenges, and cultural gradations/shifts in every area.  We bring expertise and experience to guide all our clients and candidates.  
+
+We develop a strong understanding of what each of our clients’ needs and pair this with a global network of candidates nurtured over nineteen years. This puts us in a unique position to provide unrivalled insights, advice and support to ensure the right technical and cultural alignment, every time. 
+
+Passionate on behalf of our clients, professionals, and each other, our consultants communicate both openly and honestly to provide a seamless and reliable level of service, within and beyond our office borders.
+
+We are united and supported by our core values, our “Parallel Pillars” (imaginative, authentic, collaborative and mastery), which our people helped us to shape. Our people support each other to deliver the highest standard of service whilst embracing the ethos that underpins the work that we do at Parallel. ","Machine Learning Engineer (Productionizing ML Models) - FT500 Financial ServicesBackgroundWe're supporting the Chief Data Science Officer and Head of Machine Learning at a Fortune 500 Financial Services company in their search for a Machine Learning Engineer to drive innovation and excellence.This is a fantastic opportunity to join a forward-thinking AI and Data team developing cutting-edge AI and GenAI solutions across the enterprise. The team combines entrepreneurial energy with industry-leading expertise, fully backed by executive leadership.We’re seeking a candidate with a strong software engineering background who can lead the deployment of machine learning solutions.Key Responsibilities:Ensuring ML code adheres to software engineering best practicesEstablishing ML engineering standardsCollaborating with Platform MLOps to automate model deploymentMentoring other ML Engineers and Data Scientists in development practicesLeading teams and projects using Agile/Scrum methodology to deliver scalable, high-impact solutionsHands-on experience with GenAI, LLMs, and modern cloud environments (e.g., AWS) is highly valued.Key Requirements:At least 5 years of industry experience, with extensive experience in ML and/or software engineering, with 2+ years directly implementing AI/ML solutionsProficiency in Python, APIs, containerization (Docker), and cloud-native toolsExpertise in optimizing and deploying models with scalability and monitoring in mindFamiliarity with advanced NLP tools like Hugging Face and SpaCyDemonstrated experience leading teams and projectsCompensation:$170-180k Base + Bonus ($210-225k TC)Location: Open to remote candidates based in the United States who can commute to the NYC office on a quarterly basis.",Mid-Senior level,Machine Learning Engineer
+519,2025-04-07,San Francisco,CA,OpenAI,https://openai.com/,"OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit.
+
+To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership.
+
+At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.","About The TeamThe Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.The Integrity team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability.About The RoleAs a Machine Learning Engineer in OpenAI's Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about fine tuning LLMs and building ML models this role is your chance to make a significant mark.In This Role, You WillInnovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.You Might Thrive In This Role If YouMaster's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field. Demonstrated experience in deep learning and transformers modelsProficiency in frameworks like PyTorch or TensorflowStrong foundation in data structures, algorithms, and software engineering principles.Experience with search relevance, ads ranking or LLMs is a plus.Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimizationExcellent problem-solving and analytical skills, with a proactive approach to challenges.Ability to work collaboratively with cross-functional teams.Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlinesEnjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job doneAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.OpenAI Affirmative Action and Equal Employment Opportunity Policy StatementFor US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.",Entry level,"Machine Learning Engineer, Integrity"
+520,2025-03-20,Santa Clara,CA,Tiger Analytics,http://www.tigeranalytics.com,"In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. 
+
+Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. 
+
+If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.","Tiger Analytics is looking for experienced Machine Learning Engineers with LLM / NLP expertise to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:RequirementsHighly Skilled in Python and familiarity with libraries and frameworks TensorFlow, PyTorch, Hugging Face Transformers, etcProven experience designing, develop, and implement machine learning models with a focus on NLP and LLM applications. Extensive experience with NLP techniques and tools such as tokenization, named entity recognition, sentiment analysis, etcExperience with performing data preprocessing, feature engineering, and model training on large datasetsExperience with Fine-tune and optimizing LLMs such as GPT, BERT, or similar architectures for specific use casesHands-on experience with LLMs like GPT, Llama, BERT or similar modelsExperience building & supporting AWS architecture and using AWS services. At least 5 to 6 years of total experience and a minimum of 2 to 3 years of experience with the above skillsFamiliarity with Agile Development principlesExperience with software engineering fundamentals including object-oriented design, data structures, dependency injection, testable code, and algorithmsExperience with software engineering tools, such as Eclipse, Git, and othersAble to write clean, maintainable code, and read code created by othersHighly collaborative, fast learner, willing to jump in and help wherever neededEnthusiasm for learning and experimenting with new technologies, tools, and processesBenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.",Mid-Senior level,Machine Learning Engineer (LLM / NLP)
+521,2025-03-21,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for a skilled machine learning engineer to help us develop the cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Applied Machine Learning engineer to join our team. As a Machine Learning Engineer, you will conceptualize, design, implement, and validate algorithmic improvements to the catalog system and our product knowledge graph, which is at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams.You will report into the engineering manager on our New Verticals, Catalog ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve catalog building and quality problems such as entity recognition, entity resolution, attribute extraction, category classification, and image classification.Partner with engineering, product, and business strategy leaders to help shape our ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in building product knowledge graphs.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - New Verticals Catalog
+522,2024-11-20,Washington,DC,"NasTech Global, Inc.,",https://nastechglobal.com,"NasTech Global is a digital transformation solutions provider and empowering businesses through innovative technology solutions, and strategic guidance. We are committed to understanding our clients' unique challenges and objectives, providing tailored IT consulting services that drive efficiency, productivity, and growth. Our mission is to be a trusted partner, delivering exceptional value and transformative results that enable our clients to thrive in a rapidly evolving digital landscape.","Role : AI Engineer/Data ScientistLocation : Jersey City , NJ (Hybrid – 3 Days Onsite)Employment Type : Contract W2Primary Skills/ Required SkillsContinuous Automation Coding and Application Development Excellent documentation and articulation skills Architecture and Strategy Analytical Thinking Constraint-driven Decision Maki Docker Containerization and Orchestration – strong understanding of pods, services and deployments Collaborate with AI/ML teams to understand their requirements and translate them into scalable Kubernetes-based infrastructure solutions. Docker, Operators and Helm charts Understanding of Kubernetes security best practices (e.g., RBAC, network, and pod security policies) Ability to set up monitoring, logging, and alerting for Kubernetes clusters using Prometheus/Grafana Optimize Kubernetes cluster performance, resource utilization. Python, JSON Linux Skills Proficiency with Python and/or Shell Scripting System Engineering – Compute, Networking, Storage Experience working with Prometheus and Grafana""SkillsAutomation, Artificial intelligence, Test automation, Python, continuous automation, Kubernetes, Linux, containerization, application development, docker containers, docker, Prometheus, architecture, architectural design, design-build, shell scriptDesired Skills Desired outcomes of AI Platforms required to support the Data Scientist community AI Frameworks (e.g., PyTorch, TensorFlow) Linux Resource Management Tools – SLURM Nvidia Software Stack – CUDA, TensorRT, Triton Inference Server Jupyter Notebook Kubernetes Orchestration and Docker/Container",Mid-Senior level,AI Engineer/Data Scientist (W2)
+523,2025-03-21,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for a skilled machine learning engineer to help us develop the cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Applied Machine Learning engineer to join our team. As a Machine Learning Engineer, you will conceptualize, design, implement, and validate algorithmic improvements to the catalog system and our product knowledge graph, which is at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams.You will report into the engineering manager on our New Verticals, Catalog ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve catalog building and quality problems such as entity recognition, entity resolution, attribute extraction, category classification, and image classification.Partner with engineering, product, and business strategy leaders to help shape our ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in building product knowledge graphs.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - New Verticals Catalog
+524,2025-04-03,Cupertino,CA,Etched,https://etched.com/,"By burning the transformer architecture into our chips, we’re creating the world’s most powerful servers for transformer inference.","About EtchedEtched is building AI chips that are specialized for individual model architectures. Our first product (Sohu) only supports Transformers, but has an order of magnitude more throughput and lower latency than a B200. With Sohu, you can build products that are infeasible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Etched Labs is the organization within Etched whose mission is to democratize generative AI, pushing the boundaries of what will be possible in a post-Sohu world.Key ResponsibilitiesImplement high-performance software components for the Kayak inference engine in RustTranslate core mathematical operations from transformer models into optimized operation sequences for SohuDevelop components of our model assembler and execution pipelineWork on performance optimization for the Sohu programming interface and runtimeCollaborate with hardware engineers to maximize chip utilization and minimize latencyImplement efficient batching strategies and execution plans for inference workloadsContribute to the evolution of our system architecture and programming modelDesign and implement cutting edge inference time compute scaling methodsRepresentative projectsOptimize operation sequences to maximize Sohu's computational resources for specific transformer architectures such as Stable Diffusion.Implement efficient memory management for KV cache sharing and prefix optimizationBuild infrastructure for continuous batching and batch interleaving to improve throughputCreate components for the Sohu runtime that optimize for utilization, latency, and/or throughputImplement model-specific inference-time acceleration techniques such as speculative decoding, tree search, KV cache sharing, priority scheduling, etc by interacting with the rest of the inference serving stackImplement structured decoding and novel sampling algorithms for reasoning modelsDevelop testing and benchmarking tools to measure and improve performanceYou may be a good fit if you haveStrong software engineering skills with systems programming experienceExperience with Rust programming languageFamiliarity with transformer model architectures and/or inference serving stacks (vLLM, SGLang, etc.)Strong mathematical skills, esp. in linear algebraUnderstanding of computational graphs, tensor sharding operations, and ML workloadsAbility to reason about performance bottlenecks and optimization opportunitiesExperience working cross-functionally in diverse software and hardware organizationsStrong candidates may also haveExperience with hardware accelerators, ASICs, or FPGAsDeep expertise in ML systems engineering and hardware/software co-design with demonstrated impact (contributions to open-source projects or published papers)Experience with low-level memory management and synchronization primitivesTrack record of optimizing large-scale inference systemsBenefitsFull medical, dental, and vision packages, with 100% of premium coveredHousing subsidy of $2,000/month for those living within walking distance of the officeDaily lunch and dinner in our officeRelocation support for those moving to San Jose (Santana West), CAHow We’re DifferentEtched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.We are a fully in-person team in San Jose, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.",Mid-Senior level,Machine Learning Engineer
+525,2025-04-07,.,.,Evolve Group,http://www.evolvegrp.io,"Uncovering alpha in Quant Talent.
+
+Evolve is a strategic talent partner to several of the highest performing hedge funds, investment banks and asset managers globally. We are their go to force multiplier for Quantitative and trade technology talent. 
+
+By solving one of the hardest challenges of today - Talent -  we create a competitive advantage for our clients. Leveraging best in class tools, tech and outreach we discover and secure some of the best technical minds in the world. 
+
+We provide Search, Multi-hire and TaaS solutions globally. We believe the key to success lies in building great teams hence - People is our strategy. 
+
+
+Specialisms: High-Frequency Trading, Quantitative Development, Quantitative Research, Systematic Trading, Low Latency infrastructure, Algorithmic Trading, Fintech, Hedge Funds, Prop Trading, Electronic Trading, Market Making, Quantitative Development, Quantitative Research, C++, Low-Level, FX, Futures, Fixed Income, Equities, Commodities.","Overview:We are exclusively partnered with one of the world’s most prestigious and innovative hedge funds, renowned for its relentless focus on excellence, technology, and quantitative research. They are seeking exceptionally talented Machine Learning Engineers to join their elite technology organization.This is a rare opportunity to work alongside world-class engineers, quantitative researchers, and portfolio managers, developing cutting-edge machine learning systems that have a direct and immediate impact on the firm’s trading and investment strategies.This role is ideal for highly driven, technically elite engineers with outstanding academic credentials and a deep desire to apply their machine learning expertise to solve complex, real-world problems at scale. The firm fosters a fast-paced, intellectually rigorous environment, with significant investment in talent and continuous learning.Key Responsibilities:Design, develop, and optimize machine learning models and infrastructure to support quantitative research and trading strategies.Collaborate closely with researchers and portfolio managers to integrate ML models into real-time, production-grade systems.Architect scalable pipelines for model training, testing, and deployment, leveraging massive datasets and advanced ML techniques.Continuously improve model performance, robustness, and efficiency through experimentation, tuning, and rigorous engineering best practices.Gain deep exposure to financial markets and how machine learning drives data-driven investment decisions.Requirements:Bachelor’s or Master’s degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field from a top-tier university (GPA 3.7+ strongly preferred).2-5 years of professional experience in machine learning engineering, software engineering, or related roles (internships and research experience do not count toward the 1-5 YOE requirement).Strong programming skills in Python, with expertise in machine learning frameworks such as TensorFlow, PyTorch, or JAX.Solid understanding of algorithms, data structures, and systems design; experience with distributed systems, low-latency computing, or large-scale ML infrastructure is a strong plus.Experience building, deploying, and maintaining machine learning models in production environments.Passion for solving challenging technical problems in a fast-paced, collaborative environment.Strong communication skills and a desire to work alongside high-performing teams.Why Join?Work with some of the brightest minds in engineering, quantitative research, and finance.Receive industry-leading compensation with significant upside tied to performance.Access cutting-edge technology, vast datasets, and an environment that fosters continuous intellectual growth.Thrive in a flat, meritocratic culture that rewards innovation, impact, and excellence.Accelerate your career trajectory at one of the world’s most prestigious hedge funds.If you are a high-pedigree machine learning engineer ready to apply your skills in an elite, fast-paced hedge fund environment, we want to hear from you.",Mid-Senior level,Machine Learning Engineer
+526,2024-11-25,Philadelphia,Pennsylvania,Treeswift,https://treeswift.com/,"Treeswift empowers utilities with AI-augmented vegetation management that reduces risk and improves reliability across transmission and distribution systems. Treeswift’s backpack and vehicle-mounted sensors seamlessly integrate into existing patrols to gather imagery and LiDAR data. Treeswift’s AI translates this data into actionable analytics and 360° field context for encroachment, strike potential, and failure risk via its software platform for vegetation management experts, arborists, and tree crews. Treeswift was founded in 2020 by a team of AI and robotics PhDs at the University of Pennsylvania.","About Treeswift:Treeswift is revolutionizing decision-making for critical energy infrastructure in the face of rising threats like severe storms and wildfires.After cutting our teeth developing AI models for forests in the timber sector, we are growing rapidly in the utility sector. In the U.S. alone, hundreds of thousands of miles of transmission lines and millions of miles of distribution lines need to be monitored and managed to reduce hazards, such as encroaching vegetation, that can cause outages or fires. With the rapid growth of renewable energy this infrastructure footprint is expected to more than double in the coming years creating more assets to defend than ever before.Treeswift’s mission is to deliver effective scalable technology to manage large-scale distributed infrastructure, starting with managing the risks posed by vegetation surrounding these assets. We do so by innovating across the technical stack. LiDAR and imagery data is collected by our sensor packs mounted on backpacks and vehicles to seamlessly integrate into customer operations. We then leverage AI (i.e. computer vision, etc…) to transform this data into actionable insights delivered to decision-makers in our software platform.We are early in our journey and focused on finding ground truth by working closely with our customers and using this understanding to deliver real value to our customers. To tackle this challenge we have brought together mission-driven robotics experts from top academic institutions (Penn, Caltech, etc…) and professionals with deep industry experience (Palantir) in enterprise software development. We hope you’ll join us.About the Role:Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our mission to increase the resilience of our energy systems. We are looking for an exceptional candidate with a proven track record of training and deploying models in a commercial setting.This is a full-time, hybrid/2-day a week in person role, with a strong preference for candidates based out of our NYC or Philadelphia office.Key ResponsibilitiesDevelop machine learning models that revolutionize our customers’ businesses. Treeswift develops machine learning algorithms that upend the cost and accuracy of vegetation management for energy infrastructure. In this role you will be responsible for bringing innovative ideas and rapid execution to new and existing models. In the course of development, you will collaborate closely with other teams (product, operations etc…) and have an opportunity to interact with end-users. Our machine learning model development focuses on two primary areas: (a) LiDAR point cloud models to classify and segment landscapes and infrastructure and (b) image models to derive vegetation attributes such as species and health. Create a best-in-class feedback loop to accelerate model development. You will improve Treeswift’s ability to assess model performance and adapt to new operating conditions at scale. Treeswift’s cutting edge model development involves significant investment in a proprietary dataset to train our models. Help Treeswift scale. In this role you will be expected to bring prior experience with commercial machine learning model development and deployment to help Treeswift cost-effectively scale its technology to serve a growing number of customers and use cases. You will be responsible for enabling effective collaboration on model development within the engineering team, and you will contribute to efforts to ensure reliable and robust performance of models in production. Required SkillsProven track record of training and deploying machine learning models at scale for commercial use cases. Experience in segmentation and object detection of point cloud data or image data. Experience creating, curating, and cleaning training datasetsStrong programming skills in Python Expertise in deep learning libraries such as PyTorch, TensorFlow, or similar. Excellent problem-solving and analytical abilities. Exceptional communication and collaboration skills. Preferred SkillsExperience with semantic mapping. Experience with image processing techniques and computer vision fundamentals. Experience with one or more of: Sensor Fusion, SLAM, Visual Odometry. Building and using cloud-based training and inference pipelines. 5+ years of professional experience or 3+ years with an advanced degree. Experience with deep learning training frameworks such as MLflow, Lightning, Weights and Biases, or similar. What We ValueMission first. We value low ego team members who focus on working towards the best outcomes for the customer and the business, regardless of who gets the credit. Truth seeking. We don’t always have perfect information to make decisions, but we seek to constantly get closer to the ground truth and aren’t afraid to learn we were wrong in the process. Owners mindset. If you see an opportunity for improvement, run with it. We believe that good ideas can come from anywhere, no matter your role. BenefitsComprehensive medical, dental and vision insurance Life insurance package and disability coverage Stock optionsPaid leave for new parents Unlimited PTO401KSalaryThe estimated salary range for this position is $160,000-$180,000. Total compensation for this position is determined by skills, qualifications, relevant work experience, location, and other factors. This salary estimate excludes the value of any potential bonuses; the value of any benefits offered; and the potential future value of any long-term incentives. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.Treeswift is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.",Mid-Senior level,Software Engineer - ML
+527,2025-02-06,Monmouth Junction,NJ,First Soft Solutions LLC,http://www.firstsoftsolutions.net,"When you hire First Soft Solutions, you're hiring a strategic technology consulting partner committed to helping you meet your unique business and technology objectives on time, on budget and with an optimal experience. We apply the expertise of our global community of technology experts, an unmatched portfolio of proven solutions, flexible delivery and a laser focus on the Microsoft enterprise platform to help you increase revenue, reduce costs and reinvest in innovation for competitive advantage. And we bring unique connections with our clients and Microsoft, enhancing our ability to deliver effective mission-critical solutions for organizations across all industries. When selecting an First Soft Solutions solution, you'll receive the best of our thinking and experience. Based on engineered, tested and reusable technology assets, our solutions are proven to help customers streamline operations, create new products and services, optimize collaboration across all groups and boundaries, and serve their customers better.","We are actively hiring for Senior Machine Learning EngineerFull time W2 requirement Minimum 8+ years of experience is neededMinimum of 8 years of experience in machine learning and deep learning (Python, scikit-learn, XGBoost).Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras.Hands-on experience in Natural Language Processing (NLP).Proficiency in software development practices, including Git, PEP-8 standards, and Python advanced programming techniques.",Mid-Senior level,Machine Learning Engineer
+528,2025-02-15,San Francisco,California,Decagon,https://decagon.ai,"Trusted by world-class enterprises, Decagon is the most advanced AI platform for customer support.","About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About The RoleWe’re looking for a Machine Learning Research Engineer to join our team and help build out our enterprise-grade conversation AI platform. As a Research Engineer, you will evaluate, fine-tune, and deploy large language models that power the intelligence behind our AI agents. You’ll play a key role in building intelligent systems that learn from interactions, follow complex instructions, and deliver high-quality support autonomously.QualificationsWe are looking to hire exceptional people, with strong spikes. Everyone at Decagon did exceptional work at their prior companies, went to top schools, were nationally competitive at olympiads, and more.5+ years of experience in AI/ML engineering or research.Proven track record of working on AI/ML projects from concept to production.Experience fine-tuning and deploying LLMs in production environments.You write amazing code, fast.BenefitsHealth, dental, and vision insuranceTake what you need vacation policyCareer growth opportunities within a fast-growing AI company",Entry level,Machine Learning Research Engineer
+529,2025-03-22,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced senior machine learning engineer to help us develop the cutting-edge Computer Vision models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Applied Machine Learning expert to join our team. As a Computer Vision expert, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the computer vision system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph and inventory information more accurate and real time, as well as help Dasher efficiency. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve consumer vision problems such as entity recognition, entity resolution, attribute extraction, object detection, segmentation, metric learning, and category classification, image classification.Collaborate with cross-functional leaders across engineering, product, and business strategy to help shape a product roadmap driven by machine learning, accelerating the growth of a multi-billion-dollar retail delivery ecosystem.Explore and harness diverse data sources, leveraging intuitive models and fostering a culture of flexible experimentation. Your goal will be to continuously improve the shopping and dashing experiences, delivering solutions that are not only effective but also scalable and user-centric.Drive impact and enjoy ample room for both personal and professional growth. This includes opportunities for deep technical development and leadership as you work within a growing team that is actively unlocking new markets for the company.Innovate and experiment with cutting-edge technologies and methodologies in AI and ML. You’ll have the freedom to explore emerging technologies, test new ideas, and drive technical innovation in the computer vision space, directly shaping the future of our retail and delivery solutions.We’re Excited About You Because You Have…Industry experience developing machine learning models with business impact, and shipping ML solutions to production. You have successfully shipped ML solutions to production and understand the nuances of transitioning models from development to real-world environments.Deep expertise in applied Computer Vision, with hands-on experience solving challenging vision-related problems and implementing solutions that drive customer value. Your knowledge extends to solving complex tasks such as object detection, classification, and segmentation.Strong machine learning and programming skills, particularly in Python, with experience in key ML frameworks such as PyTorch, TensorFlow, or Spark. You’re able to implement scalable models and optimize performance for production systems.You must be located near one of our engineering hubs which includes: San Francisco, Sunnyvale, Los Angeles, Seattle, and New YorkM.S., or PhD. in Computer Vision, Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field is a plusFamiliarity with causal inference and experimentation techniques, enabling you to design and evaluate experiments that validate the effectiveness of ML models and ensure the product’s continuous improvement.Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,"Machine Learning Engineer, Computer Vision"
+530,2025-03-28,Ridgefield Park,NJ,Samsung Electronics America,http://www.samsung.com/us/,"Headquartered in Ridgefield Park, N.J., Samsung Electronics America, Inc. (SEA) pushes beyond the limits of today’s technology to provide groundbreaking connected experiences across its large portfolio of products and services, including mobile devices, home appliances, home entertainment, 5G networks, and digital displays.
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+We’re committed to keeping co-prosperity at our core through creating human-centric innovation, empowering the next generation and serving the communities where we live and work. As an eleven-time winner of EPA’s ENERGY STAR® Partner of the Year Award for Sustained Excellence, SEA is dedicated to positively impacting the environment through its eco-conscious products, practices and operations. ","Position SummarySamsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team.Location: Mountain View, CARole and ResponsibilitiesLead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market.Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.Mentor junior engineers and provide technical guidance.Learn quickly and adapt to a fast-paced working environment.Experience RequirementsMaster’s or PhD degree in Computer Science or related fields.4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.Solid theoretical background in machine learning and/or data mining.Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).Hands-on experience with production-grade machine learning solutions.Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).Extensive programming experience in Python, Go, or other OOP languages.Familiarity with data structures, algorithms, and software engineering principles.Proficiency in SQL and databases.Strong communication and interpersonal skills to drive cross-functional partnerships.Preferred Experience RequirementsPublications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).Basic knowledge about Amazon Web Services (AWS).Experience with the advertising industry and real-time bidding (RTB) ecosystem.The salary range for this role, for candidates based in California, is expected to be between $ $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.Reasonable Accommodations for Qualified Individuals with Disabilities During the Application ProcessSamsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.",Mid-Senior level,Machine Learning Model Engineer - Advertising - Ranking
+531,2025-04-09,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity The Adobe Document Cloud AI & Innovation Team is looking for anexperienced Machine Learning Engineer to drive a new and exciting focusarea: using AI and ML to transform customer experiences! In this excitingrole, you will use your AI/ML expertise to deeply understand how customersuse our products and improve their journey.The Adobe Document Cloud powers the world’s most widely used digitaldocument experiences, including Adobe Acrobat, which is installed on overa billion devices and opens billions of PDFs annually. Our ecosystem extendsto Adobe Sign, Document Cloud Platform, and Adobe Scan. With the recentrelease of the Acrobat AI Assistant, we are leading the way in incorporatingsophisticated insights into our products to improve user experiences.This is a unique opportunity to join a fast-moving team focused on applyingAI/ML to refine, optimize, and enhance the way customers engage withdigital documents. Your work will directly influence product decisions andshape the future of intelligent document workflows.What You'll DoAs a Senior Machine Learning Engineer, you will play a critical role inapplying AI/ML to understand customer interactions, uncover insights, anddrive critical product decisions that enhance our users’ experience acrossAdobe’s document ecosystem.You will: Design and lead initiatives aimed at improving customer interactions and engagement with Adobe Document Cloud products.  Develop AI-powered insights to help product teams make data-driven decisions that enhance usability and retention.  Build and deploy ML models that analyze user interactions.  Collaborate closely with multiple teams (Product, Engineering, UX, and Data Science) to find opportunities where AI can enhance customer experience  Optimize and scale AI/ML solutions across mobile, cloud, and desktop environments. Facilitate technology transfer between Adobe Research and Document Cloud, ensuring that innovative AI advancements translate into real-world impact. This role is a mix of hands-on technical implementation and strategic leadership, offering the chance to work on high-visibility projects with ample room for innovation and creativity.What We’re Looking For: 5+ years of industry experience in applying AI/ML to real-world products, with a focus on customer experience and engagement.  Strong understanding of product development and a passion for crafting innovative solutions that have a direct impact on users.  Expertise in Generative AI, Python, and Python-based ML/DL frameworks  Excellent coding, data analysis, and problem-solving skills with a strong foundation in data structures and algorithms.  Solid foundation in statistical analysis and data analysis techniques.  Experience with ML Ops and deploying AI models at scale. Familiarity with ML services is a plus.  Strong communication and collaboration skills, with the ability to work across subject areas and drive critical initiatives.  Master’s or PhD in Computer Science or a related field (or equivalent industry experience).  Why Join Us?  Drive a new AI-powered business focus—shape how AI enhances customer experience at scale.  Work on industry-leading AI innovations like the newly launched Acrobat AI Assistant.  Be part of a fast-moving, diverse team at the intersection of AI, customer experience, and product innovation.  Make an impact—your work will reach millions of users worldwide. If you're passionate about using AI to transform customer experience andeager to work on high-visibility projects that push the boundaries of what'spossible, we'd love to hear from youApplication Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,Sr. Machine Learning Engineer
+532,2025-04-04,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways.We’re looking for a Data Scientist to join Snap Inc.What you’ll do:Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisionsDrive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'Collaborate with product managers, engineers, product marketers, and designersKnowledge, Skills & Abilities:Expertise using data modeling skills to identify key product trends and new product opportunitiesAbility to design implement, and track core metrics to analyze the performance of our productsAbility to create visuals, dashboards, and reports to effectively communicate your insightsAbility to collaborate with engineers, product managers, and other cross-functional teamsAbility to initiate and drive projects to completion with minimal guidanceAn understanding of Snapchat with great product sense and product understandingMinimum Qualifications:BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience1+ years of experience in quantitative analysis & data science or a related fieldPreferred Qualifications:1+ years of experience using SQL or similar big data querying languages1+ years of experience with programming language, such as Python or R1+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniquesAdvanced degree in applied mathematics, statistics, actuarial science, economics or related fieldExperience in a product-focused role at a social media, online advertising, digital media and/or mobile technology companyExperience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research. If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $118,000-$176,000 annually.Zone B:The base salary range for this position is $112,000-$167,000 annually.Zone C:The base salary range for this position is $100,000-$150,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Data Scientist, 1+ Years of Experience"
+533,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:The E-Commerce Risk Control (ECRC) team's mission is : To protect TikTok e-commerce users, including and beyond buyer, seller, creator; To make Tiktok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform; Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders.The ECRC team works to prevent and detect any risk attempts in Tiktok e-commerce platforms (e.g. TikTok Shop) and to mitigate the negative impact on our customers and Selling Partners (Sps), covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc.We achieve our mission by a) developing state-of-art Machine Learning (ML) solutions to prevent customers, SPs, and Tiktok from being impacted by bad actors’ actions and practices to gain unfair business advantages; b) empowering Tiktok teams, both internal to GNE and external, to reduce risk attempts by utilizing our mechanisms.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms. Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams. Collaborate with multidisciplinary teams to enhance current automation processes. Build efficient data querying infrastructure for real-time and offline analysis. Identify opportunities to strengthen risk defense solutions. Define risk control metrics and promote data-driven practices. Align teams and stakeholders on numeric goals for risk control. Document technical processes and effectively communicate results through writing, visualizations, and presentations.QualificationsMinimum Qualifications: Master's degree in Computer Science, Engineering, Operations Research, or related fields. Current or recent graduate with a background in Computer Science, Computer Engineering, or a related technical discipline Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning. Experience with Python, SQL/Hive, and Hadoop Strong understanding of data structures and algorithms, with excellent problem-solving ability Detail oriented, effective time management, and strong analytical skillsPreferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications Internship experience or research experience, especially in e-commerce, risk control domian Curiosity towards new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilitiesTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2025 Start (MS)
+534,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamInterest-based E-commerce is a new and fast growing business that aims at connecting all customers' interests to excellent sellers and high quality products on TikTok Shop. Different from other traditional E-commerce platforms, Tiktok Shop provides customers with personalized and unique shopping experience through E-commerce live-streaming and E-commerce short videos. The recommendation system plays an extremely important role in helping customers explore their shopping interests.We are a group of applied machine learning engineers and research scientists that focus on E-commerce video/live-streaming recommendations on the major traffic source of Tiktok ForU page, where we serve traffic for billions of users every single day. We develop innovative algorithms and ML techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited about applying large scale machine learning to solve various real-world problems in E-commerce and recommendation.Responsibilities Participate in building large-scale (10 million to 100 million) live-streaming and short video e-commerce recommendation algorithms and systems on TikTok. Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently. Design and develop various strategies using ML technology to improve user shopping experience, and resolve e-commerce business challenges, such as the cold start problem and traffic allocation. Design and build supporting/debugging tools as needed.QualificationsMinimum Qualifications Bachelor's degree or higher in Computer Science or related fields. Strong programming and problem-solving ability. 1 year of experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Experience in Deep Learning Tools such as tensorflow/pytorch. Experience with at least one programming language like C++/Python or equivalent.Preferred Qualifications 2 years of experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $137750 - $237500 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, E-commerce Feed Recommendation"
+535,2025-04-08,Santa Monica,California,Headspace,https://www.headspace.com/,"Headspace is your lifelong guide to better mental health. We make mental health support accessible to everyone, no matter their background or experience. Through our flagship Headspace app, we provide mental health coaching in addition to mindfulness and mental health tools for everyday life, like guided meditations, sleepcasts, mindful movement, and focus exercises. Our enterprise offerings combine this experience with EAP and work-life services, as well as therapy and psychiatry services – all in a single destination. Our team of experts ranges from mental health clinicians to Emmy award-winning producers and data scientists, working together as one to help millions of people around the world be healthier and more productive. To learn more, please visit headspace.com. ","About the Software Engineer, API at Headspace:Headspace is seeking a talented Software Engineer to join its growing Care Hub team. We are responsible for Care Hub, our in-house Electronic Health Record (EHR) system and the experience of our Care Providers (health coaches, therapists, and psychiatrists) to deliver high-quality care through video and text-based sessions to our members.What you will do:Impact Millions: Your work can impact over 65 million users, contributing to our mission of improving mental health worldwide.Innovative Technology: Dive into cutting-edge technologies! You'll be prototyping, architecting, and coding with Typescript/JS/Node.js and Python/Django to power our EHR, including features like AI-assisted clinical note-taking, real-time chat, scheduling, and HIPAA-compliant health records storage.Collaborative Environment: Work alongside talented product managers, designers, data analysts, and engineers in a fast-paced, supportive environment.Design and develop maintainable and flexible services for mission-critical systems that directly support mental healthcare delivery.Write clean, testable, and efficient code that ensures a seamless experience for Care Providers, members and fellow developers.Collaborate on the evolution of our Care Platform's architecture, helping to shape the future of our tech stack.Participate in the full development lifecycle, from collaborating with stakeholders to writing technical specifications and releasing features.Build and maintain APIs using Typescript/Node.js and Python/Django on AWS-based services.What you will bring:Required Skills:3+ years of hands-on software development experience building APIs and microservicesExposure to modern frontend frameworks such as React, NextExperience with Typescript/JS/Node.js and/or Python/Django (strong proficiency in either one, exposure to the other)Strong debugging skills and experience with unit, integration, and end-to-end testing, as well as using CI/CD systemsExcellent communication skills, both written (technical documentation) and verbal (articulating technical ideas clearly both technical and non-technical audiences) A passion for collaboration and a desire to thrive in a fast-paced environment.Preferred Skills:Exposure to alerting, logging, and monitoring frameworks Solid understanding of database management and object-oriented programmingBS/MS degree in Computer Science or something equivalentPay & Benefits:The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, relevant licensure and certifications, and unique relevant experience and job-related skills. The base salary range for this role is $100,800 - $161,000.At Headspace, cash salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, unlimited, free mental health coaching, generous parental leave, and much more. Paid performance incentives are also included for those in eligible roles. Additional details about our Total Rewards package will be provided during the recruitment process.How we feel about Diversity, Equity, Inclusion and Belonging:Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.Headspace participates in the E-Verify Program.Privacy StatementAll member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship.  As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice",Entry level,"Software Engineer, API"
+536,2025-03-13,Danville,California,Cypress HCM,https://www.cypresshcm.com,"At Cypress, we deliver top talent to your doorstep. Our nationwide reach and industry expertise help us precision-match candidates, saving you time and frustration. Our experts specialize in placing highly qualified employees, ensuring a perfect fit that not only boosts individual career paths but also enhances organizational productivity.  ","Duties:The AirCover Tech team needs support for the Guardrails for Hosts initiative. This critical project comprises a series of improvements to the AirCover for Hosts intake experience, which aims to enhance the quality of reimbursement requests, expedite processing times, and improve the overall guest experience.Qualifications:• 3+ years of industry experience in applied Machine Learning, MS/PhD in relevant fields is preferred.• Deep understanding of Machine Learning best practices and end to end deployment. (eg. foundation pipeline, feature generation, feature engineering, model training/evaluation, A/B testing, model deployment and model serving, service integration), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, CV, personalization and recommendation).• Strong fluency in Python and SQL with experience with the following: Tensorflow, PyTorch, AWS, Spark, Airflow (or equivalent), Kafka (or equivalent), MLFlow• Hands-on experience with large language models ((e.g., GPT, LLaMA, Falcon etc) and experience orchestrating LLMs (prompt tuning, RAG, Finetuning, summarization etc.) in production use cases is a bonus• Industry experience building and deploying ML models at scale, including real-time or batch prediction pipelines, evaluation and monitoring/alerting.• Exposure to large-scale architecture patterns: well-designed APIs, high-throughput data pipelines, distributed training, and scaling best practices.• Flexibility for time zone and locationsPay Rate Range:• $ 75-82.95/hr.",Mid-Senior level,Machine Learning Engineer
+537,2025-03-20,Canary Wharf,London,"Fitch Group, Inc.",https://www.fitch.group/,"Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by Hearst, Fitch Group is comprised of: Fitch Ratings, a global leader in credit ratings and research and Fitch Solutions, a leading provider of data, research and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.","Fitch Group is currently seeking a Machine Learning Engineer based out of our Chicago office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference.Want to learn more about a career in technology and data at Fitch?Visit: https://careers.fitch.group/content/Technology-and-Data/About The TeamThe Fitch Group’s AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position could be based out of our Chicago, London, or Manchester offices.The AI Chapter’s Team Objectives Implement AI & ML technology in collaboration with Fitch Ratings business partners and product squads  Develop and support enterprise-level AI exploration tools and capabilities  Provide guidance for efficient and secure development and deployment of AI  Establish and maintain guidelines and processes for AI/ML governance How You’ll Make An Impact Work closely with or as part of product squads to build, integrate, and deploy AI and ML solutions, sharing best practices and learnings with other squad members.  Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases  Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation.  Collaborate with data scientists to identify innovative solutions that leverage data to meet business objectives.  Develop, in collaboration with senior engineers, scalable solutions and workflows that leverage ML & Gen AI to meet enterprise requirements.  Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions  Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows.  Use Python and large-scale data workflow orchestration platforms (e.g. Airflow) to build software artifacts for ETL, integrating diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems  Design and develop APIs (e.g. using FastAPI) for integration and deployment of ML models and solutions. You May Be a Good Fit If 3+ years of work experience as an AI/ML engineer  Experience developing production quality Python code  Strong adherence to software and ML development fundamentals (e.g., code quality considerations, automated testing, source version control, optimization)  Experience in integrating AI solutions into existing workflows  Experience building Generative AI frameworks, leveraging and/or finetuning LLMs. (experience building agentic workflows strongly preferred)  Experience building/enhancing search and information retrieval systems  Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc.  Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred)  Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc.  Bachelor’s degree (master’s or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field What Would Make You Stand Out Experience developing/integrating functionality for/in Document Management Systems and content management systems  Experience supporting prototyping teams to enable seamless transition from prototype to development and deployment  Experience building agentic workflows powered by language models  Passion for using data and ML to drive better business outcomes for customers  Strong interpersonal skills and ability to work proactively as a team player  Proven ability to work effectively in a distributed team environment and efficiency in fast-paced settings  Proven ability to collaborate with non-AI/ML teams to integrate AI solutions into broader workflows and projects.  Experience working with cross-functional teams.  Familiarity with credit ratings agencies, regulations, and data products  Excellent written and verbal communication skills  Advocate of good code quality and architectural practices  Experience working in Java and/or JavaScript codebases Why Choose Fitch Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location  A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity  Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals  Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing  Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively  Inclusive Work Environment : A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe  Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. FOR CHICAGO ROLES ONLY:  Expected base pay rates for the role will be between $90,000 and $125,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.",Mid-Senior level,"Machine Learning Engineer, Chicago"
+538,2024-08-22,San Jose,California,WeRide,http://www.weride.ai,"Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days. On October 25, 2024, WeRide was officially listed on the Nasdaq Global Select Market under the ticker symbol ""WRD"", and became the world's first publicly listed universal autonomous driving company and the first publicly listed Robotaxi company.
+
+WeRide aims to develop safe and reliable driverless solutions to make mobility and transportation safer, more affordable, and accessible. As the pioneer in autonomous driving technologies and applications, WeRide has developed a comprehensive portfolio, including Robotaxi, Robobus, Robovan, Robosweeper, and advanced driver-assistance system (ADAS), with application scenarios spanning smart mobility, smart logistics, and smart sanitation.
+
+With a rich experience in autonomous driving R&D, commercialization, and operation, WeRide has formed partnerships with renowned global OEMs and Tier1 including Renault-Nissan-Mitsubishi Alliance, Yutong Group, GAC Group, BOSCH, etc.
+
+WeRide earned a prestigious position among the top ten on Fortune Magazine’s “2023 Change the World” list and was named to Fortune Magazine’s 2024 “The Future 50” list.","Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 9 countries around the world. WeRide has operated a self-driving fleet for more than 1,800 days.WeRide.ai is looking for a machine learning engineer for the prediction team. In this impactful role, you will collaborate with a best-in-class team of engineers to tackle hard problems and help advance mobility solutions to improve everyday lives.What you will do:Active learning and Bayesian optimization Anomaly detection Deep networks Distributed/parallel learning algorithms Learning control Predictive modeling Requirements: PhD in Electrical Engineering, Computer Science/Engineering or a related field. 3 or more years of relevant work or lab experience in Machine Learning, Deep Learning or High-Performance Computing Excellent knowledge of theory and practice of machine learning. Excellent programming skills in some rapid prototyping environment such as MATLAB or Python; C++ and parallel programming (e.g., CUDA) is a plus. Knowledge of common machine learning frameworks. Track record of research excellence or significant product development. Knowledge of application areas such as computer vision or robotics Plus: Strong understanding of recent advancements in machine learning research Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $130,000 - $182,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.WeRide.ai offers competitive salary depending on the experience. Employee benefits include:Premium Medical, Dental and Vision Plan (No cost from employees or their families)Free Daily Breakfast, Lunch and DinnerPaid vacations and holidays401K plan",Not Applicable,Machine Learning Engineer
+539,2025-04-02,Burbank,CA,The Walt Disney Company,http://www.disneycareers.com,"The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences.
+
+Our mission is to entertain, inform and inspire people around the globe through the power of unparalleled storytelling, reflecting the iconic brands, creative minds and innovative technologies that make us the world’s premier entertainment company.","About The RoleData scientists at Disney Streaming Services are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, Hulu and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.As a Senior Data Scientist on the Segmentation and Content Understanding team, you will lead technical efforts in developing and deploying advanced NLP and Large Language Model (LLM) solutions to enhance user experience across Disney+, Hulu, and ESPN+. This role requires expertise in deep learning model architectures, fine-tuning, customization of open-source models, and hands-on experience deploying production-grade AI solutions.Key ResponsibilitiesDevelop and deploy advanced NLP and LLM solutions.Customize and fine-tune foundational models such as BERT, GPT, and CLIP.Create multimodal AI systems integrating text, image, and video data.Optimize model performance (accuracy, latency, scalability) leveraging GPU infrastructure and distributed computing.Deploy models and manage their lifecycle in production environments.Implement robust CI/CD workflows and job orchestration for ML systems.Follow software development best practices, including testing, code reviews, and continuous integration.Champion and implement MLOps practices for seamless deployment and monitoring.Basic QualificationsBachelors degree in Computer Science, Engineering, Mathematics, or related field.5+ years of hands-on experience developing and deploying machine learning models in production environments.Strong expertise in Deep Learning, NLP, large language models, embeddings, and related technologies.Familiarity with transformers, attention mechanisms, multimodal models, and tokenization.Proficient with Python, at least one of the deep learning frameworks (such as PyTorch or TensorFlow), and deep learning libraries (such as Hugging Face Transformers).Hands-on experience with fine-tuning techniques and model optimization.Solid understanding of hardware optimization, GPU usage, and performance trade-offs.Proficiency in CI/CD processes, job orchestration tools, Docker, containerization, and MLOps workflows.Excellent communication skills, capable of clearly articulating technical concepts to non-technical stakeholders.Comfort working in fast-paced environments, adapting proactively to changing priorities.Preferred QualificationsMaster’s degree in Computer Science, Engineering, Mathematics, or related field.Experience using vector databases and retrieval systems.Familiarity with GPU profiling and memory optimization for large models.Familiarity with NLP techniques such as RLHF, parameter-efficient tuning, and retrieval-augmented generation (RAG).Additional Information#DISNEYTECHThe hiring range for this position in New York, NY is $145,400 to $195,000 per year. Santa Monica, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.",Mid-Senior level,Senior Data Scientist - NLP/LLM
+540,2025-03-27,Broomfield,Colorado,DigitalOcean,https://www.digitalocean.com,"DigitalOcean simplifies cloud computing so businesses can spend more time creating software that changes the world. With its mission-critical infrastructure and fully managed offerings, DigitalOcean helps developers at startups and growing digital businesses rapidly build, deploy and scale, whether creating a digital presence or building digital products. DigitalOcean combines the power of simplicity, security, community and customer support so customers can spend less time managing their infrastructure and more time building innovative applications that drive business growth.","We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems.Key ResponsibilitiesDevelop, test, and implement predictive models and machine learning algorithms to solve business challenges.Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools.Design and execute experiments (A/B testing, causal inference, etc.) to measure the impact of business initiatives.Collaborate with stakeholders to translate business questions into data science problems and communicate findings effectively.Build and maintain data pipelines and ETL processes to ensure data quality and availability.Present data-driven recommendations to executives and cross-functional teams in a clear and actionable manner.Stay updated on the latest advancements in data science, machine learning, and AI.QualificationsMaster’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.3+ years of experience in data science, analytics, or a similar role.Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.Solid experience with SQL for querying and managing structured data.Knowledge of machine learning, statistical modeling, and optimization techniques.Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.Ability to communicate complex findings to non-technical stakeholders in a clear, concise manner.Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).Familiarity with business intelligence, marketing analytics, or financial forecasting is a plus.Preferred SkillsExperience in causal inference, econometrics, or Bayesian methods.Hands-on experience with ML Ops, model deployment, or data engineering workflows.Understanding of business metrics, growth strategies, and financial modeling.Ability to work in a fast-paced, cross-functional environment.Why You’ll Like Working for DigitalOceanWe innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.We reward our employees. The salary range for this position is $165,000 - $195,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.This is a remote role",Mid-Senior level,Data Scientist
+541,2025-01-09,Mountain View,CA,Quora,https://www.quora.com/careers,"The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people’s heads, or buried in books and papers that only experts can access. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
+
+To do so, we have two knowledge sharing products:
+
+Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
+
+Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-4, Claude 3, Gemini Pro, DALL-E 3 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
+
+Visit quora.com/careers to browse open roles and apply online.
+
+Quora company blog: blog.quora.com
+Engineering blog: engineering.quora.com
+Design blog: design.quora.com
+Data blog: data.quora.com
+Recruiting blog: interviewingatquora.quora.com/
+Intern blog: quorainterns.quora.com
+","[Quora is a ""remote-first"" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]About Quora:Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others. Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-4, Claude 3, Gemini Pro, DALL-E 3 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models. Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.This role will be working on our Quora product.About the Team and Role:Our Recommender System team works on challenging problems every day. Our Machine Learning Engineers are tasked with optimizing the content distribution system at Quora. The team covers the entire Machine Learning lifecycle from end-to-end, including feed generation, notifications, digest emails, and requests to answer. Engrained in our culture is the desire to constantly learn and improve, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high-quality code by designing APIs and abstractions that are extensible and maintainable. As a remote-first company, our engineers have a high degree of flexibility and autonomy. Everyone on the engineering team has a huge impact on our product and our company. Since we first launched our content distribution platform, we've grown to support millions of users who are engaging with over 400 million+ monthly unique visitors on Quora. Our journey is just beginning as we continue to build new products from the ground up and tackle exciting challenges at scale. Today, we're working on a broad range of areas to grow our content product to drive more value to our users. As a member of the Recommender System team, you will have a chance to work with a diverse and talented global team of engineers and collaborate closely with cross-functional partners to help users get the right content at the right time and build a stronger connection between Quora users and its knowledge base.Responsibilities:Improve our existing machine learning systems using your core coding skills and ML knowledgeTake end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systemsApply state-of-the-art machine learning algorithms at scale and serving for next-generation ad recommendation systems that directly impact the company’s top line metricsCollaborate with ML platform and product engineers to build scalable and efficient machine learning systems in the production environmentImprove the design of recommender modelWork with product and business teams on new innovative features for recommender systems to optimize user and advertiser performanceIdentify new opportunities to apply machine learning to different parts of the Ads product to drive value for our users and advertisersMinimum Requirements:Availability for meetings and impromptu communication during Quora's “coordination hours"" (Mon-Fri: 9am-3pm Pacific Time)3+ years of professional software development experience in machine learningPrevious experience building large scale ranking/recommendation systemsGood understanding of mathematical foundations of machine learning algorithmsHighly proficient coding ability writing Python, C++ or Golang codeBS, MS or PhD in Computer Science, Engineering or a related technical fieldPreferred Requirements:Experience with leading large-scale multi-engineer projectsFlexible and positive team player with outstanding interpersonal skillsPassion for Quora's mission and goalsAt Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.Additional Information:We are accepting applications on an ongoing basis.Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefitsThere are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.US candidates only: For US based applicants, the salary range is $170,472 - $252,439 USD + equity + benefits. Canada candidates only: For Canada based applicants, the salary range is $166,632 - $264,379 CAD + equity + benefits. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice",Mid-Senior level,"Machine Learning Engineer - Recommendation System, Quora (Remote)"
+542,2024-12-16,Boston,Massachusetts,Givzey,https://www.givzey.com/,Givzey's standalone Gift Agreement Platform empowers fundraisers to formalize and book gift commitments in seconds.,"We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity to shape and create our machine learning capabilities from the ground up. You'll be at the forefront of innovation, designing and implementing ML systems that drive our business forward.ResponsibilitiesDesign, develop, and implement machine learning models and algorithmsAnalyze large datasets and extract meaningful insightsCollaborate with cross-functional teams to integrate ML solutions into existing systemsOptimize ML models for performance and scalabilityStay current with the latest advancements in machine learning and AICreate and implement big data processing pipelines and architecturesDesign and build scalable data infrastructure to support ML applicationsRequirementsBachelor's or Master's degree in Computer Science, Data Science, or related field3+ years of experience in machine learning or AI developmentStrong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)Solid understanding of machine learning algorithms and statistical modelingExperience with big data technologies (e.g., Hadoop, Spark, Kafka)Proven ability to create and implement big data solutions from scratchComfortable setting up and managing distributed computing environmentsExperience in designing and implementing data pipelines for large-scale data processingProficient in working with various database systems, both SQL and NoSQL, depending on the use caseStrong skills in data modeling and database design for machine learning applicationsExcellent problem-solving and analytical skillsStrong communication skills and ability to work in a team environmentPreferred QualificationsExperience in creating and managing real-time data streaming architecturesAWS Certified Machine Learning - Specialty or AWS Certified Big Data - SpecialtyExperience with AWS machine learning servicesProficiency in using AWS big data servicesKnowledge of serverless architectures on AWS (e.g., Lambda)Experience in creating and managing real-time data streaming architectures on AWS (e.g., Kinesis)Understanding of AWS security best practices for machine learning and data processing workflowsWhat You’ll Do Day-to-dayBe a member of a world-class team focused on inventing solutions that have the ability to impact the worldTackle a wide variety of technical problems throughout the stack and contribute daily to all parts of our product code baseHelp build a beautiful, intuitive product that revolutionizes the nonprofit industryWork closely with our customers, founders, team members and Board to understand customer pain points, develop solutions, and prototype, iterate, and deploy code on regular cycles",Entry level,Machine Learning Engineer
+543,2024-11-25,Philadelphia,Pennsylvania,Treeswift,https://treeswift.com/,"Treeswift empowers utilities with AI-augmented vegetation management that reduces risk and improves reliability across transmission and distribution systems. Treeswift’s backpack and vehicle-mounted sensors seamlessly integrate into existing patrols to gather imagery and LiDAR data. Treeswift’s AI translates this data into actionable analytics and 360° field context for encroachment, strike potential, and failure risk via its software platform for vegetation management experts, arborists, and tree crews. Treeswift was founded in 2020 by a team of AI and robotics PhDs at the University of Pennsylvania.","About Treeswift:Treeswift is revolutionizing decision-making for critical energy infrastructure in the face of rising threats like severe storms and wildfires.After cutting our teeth developing AI models for forests in the timber sector, we are growing rapidly in the utility sector. In the U.S. alone, hundreds of thousands of miles of transmission lines and millions of miles of distribution lines need to be monitored and managed to reduce hazards, such as encroaching vegetation, that can cause outages or fires. With the rapid growth of renewable energy this infrastructure footprint is expected to more than double in the coming years creating more assets to defend than ever before.Treeswift’s mission is to deliver effective scalable technology to manage large-scale distributed infrastructure, starting with managing the risks posed by vegetation surrounding these assets. We do so by innovating across the technical stack. LiDAR and imagery data is collected by our sensor packs mounted on backpacks and vehicles to seamlessly integrate into customer operations. We then leverage AI (i.e. computer vision, etc…) to transform this data into actionable insights delivered to decision-makers in our software platform.We are early in our journey and focused on finding ground truth by working closely with our customers and using this understanding to deliver real value to our customers. To tackle this challenge we have brought together mission-driven robotics experts from top academic institutions (Penn, Caltech, etc…) and professionals with deep industry experience (Palantir) in enterprise software development. We hope you’ll join us.About the Role:Treeswift is seeking a highly skilled and motivated engineer to join our team. You will play a pivotal role in developing and deploying state-of-the-art machine learning solutions to advance our mission to increase the resilience of our energy systems. We are looking for an exceptional candidate with a proven track record of training and deploying models in a commercial setting.This is a full-time, hybrid/2-day a week in person role, with a strong preference for candidates based out of our NYC or Philadelphia office.Key ResponsibilitiesDevelop machine learning models that revolutionize our customers’ businesses. Treeswift develops machine learning algorithms that upend the cost and accuracy of vegetation management for energy infrastructure. In this role you will be responsible for bringing innovative ideas and rapid execution to new and existing models. In the course of development, you will collaborate closely with other teams (product, operations etc…) and have an opportunity to interact with end-users. Our machine learning model development focuses on two primary areas: (a) LiDAR point cloud models to classify and segment landscapes and infrastructure and (b) image models to derive vegetation attributes such as species and health. Create a best-in-class feedback loop to accelerate model development. You will improve Treeswift’s ability to assess model performance and adapt to new operating conditions at scale. Treeswift’s cutting edge model development involves significant investment in a proprietary dataset to train our models. Help Treeswift scale. In this role you will be expected to bring prior experience with commercial machine learning model development and deployment to help Treeswift cost-effectively scale its technology to serve a growing number of customers and use cases. You will be responsible for enabling effective collaboration on model development within the engineering team, and you will contribute to efforts to ensure reliable and robust performance of models in production. Required SkillsProven track record of training and deploying machine learning models at scale for commercial use cases. Experience in segmentation and object detection of point cloud data or image data. Experience creating, curating, and cleaning training datasetsStrong programming skills in Python Expertise in deep learning libraries such as PyTorch, TensorFlow, or similar. Excellent problem-solving and analytical abilities. Exceptional communication and collaboration skills. Preferred SkillsExperience with semantic mapping. Experience with image processing techniques and computer vision fundamentals. Experience with one or more of: Sensor Fusion, SLAM, Visual Odometry. Building and using cloud-based training and inference pipelines. 5+ years of professional experience or 3+ years with an advanced degree. Experience with deep learning training frameworks such as MLflow, Lightning, Weights and Biases, or similar. What We ValueMission first. We value low ego team members who focus on working towards the best outcomes for the customer and the business, regardless of who gets the credit. Truth seeking. We don’t always have perfect information to make decisions, but we seek to constantly get closer to the ground truth and aren’t afraid to learn we were wrong in the process. Owners mindset. If you see an opportunity for improvement, run with it. We believe that good ideas can come from anywhere, no matter your role. BenefitsComprehensive medical, dental and vision insurance Life insurance package and disability coverage Stock optionsPaid leave for new parents Unlimited PTO401KSalaryThe estimated salary range for this position is $160,000-$180,000. Total compensation for this position is determined by skills, qualifications, relevant work experience, location, and other factors. This salary estimate excludes the value of any potential bonuses; the value of any benefits offered; and the potential future value of any long-term incentives. This information is provided per the New York City Human Rights Law. Please note that the range provided is applicable only to New York City-based applicants. Base compensation may vary if the work location is outside of New York City.Treeswift is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.",Mid-Senior level,Software Engineer - ML
+544,2025-04-07,Tokyo,,Sony,https://www.sony.com/en/,"Sony’s purpose is simple. We aim to fill the world with emotion, through the power of creativity and technology. We want to be responsible for getting hearts racing, stirring ambition, and putting a smile on the faces of our customers. That challenge, combined with our spirit of innovation, motivates us to create groundbreaking technology, entertainment, and services for people worldwide. 
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+Our history as a global brand has been built around employees that all have a passion for touching peoples'​ lives, and pride in pushing beyond the status quo to produce truly extraordinary results.
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+We’re uniquely positioned because we operate in many different industries - from movies and music to video games and electronics. And, with offices around the globe, we benefit from a global workforce that learns and grows together through mutual respect. 
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+If you're ready to join a diverse team at an innovation-led company with the power to change lives, then we encourage you to read up on the different Sony group companies and check out our Life page. Then, get in touch, and together, let’s make the world say wow.
+","Sony Corporation of America, located in New York, NY, is the U.S. headquarters of Sony Group Corporation, based in Tokyo, Japan. Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: www.sony.com/en.Position SummarySony is seeking a Data Scientist I to join Sony’s Corporate Information Security Division. This position will report to the Director of Risk Analytics and be a part of the team responsible for designing, implementing, and maintaining a Global Information Security Risk Analytics platform used to provide information security risk intelligence to Senior Leadership and monitor the confidentiality, integrity, and availability of Sony assets.You’ll work across the global information security team to understand the unique problems and constraints, then dig into the data-rich environment to find the pieces of the puzzle. You’ll write scripts, build predictive analytics, automate processes, apply machine learning techniques, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help leadership make informed decisions.Job ResponsibilitiesDevelop a comprehensive knowledge of the business to derive data science project requirements. Gather information, business goals, priorities, and organizational context around the questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.Design and evaluate models to mathematically express and solve defined problems with limited precedent.Format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.Analyze large amounts of data/information to discover and articulate trends and patternsBuild predictive models and machine-learning algorithmsDevelop conclusive insights using statistical methods.Make and defend arguments using data and data-based insight. Explain solutions in a non-technical mannerMentor other team membersQualifications For PositionYour qualifications and experience should include: Required3+ years of applied work experience in data science, machine learning, or a related fieldHands-on experience processing and analyzing large datasetsProficiency with relational database (SQL) and programming/scripting (Python or R)Strong applied statistics skills, such as distributions, statistical testing, regression, etc.Knowledge of machine learning, statistical modelling, and predictive analyticsAbility to tackle ambiguous and undefined problemsMotivated and self-directed, demonstrated ability to innovateAbility to communicate and discuss complex topics with technical and non-technical audiencesPreferredBachelor’s degree in Computer Science, Statistics, Data Analysis, Mathematics, or a related fieldExperience in information security or ITExperience with data engineeringExperience with data visualization tools and dashboard developmentQualities Of Ideal CandidateInterested in exploring data and engaging with stakeholdersAble to adapt to dynamic work environment and prioritize tasks accordinglyExcellent problem-solving skillsStrong attention to detailResourceful and able to thrive in a dynamic environmentIn addition to competitive pay and benefits, we offer an environment and culture that promotes Diversity, Equity, and Inclusion. We are committed to creating an inclusive employee experience for you to thrive as part of Sony’s purpose to “fill the world with emotion through the power of creativity and technology”.Benefits:   SCA offers benefits-eligible employees (generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family’s physical, emotional, and financial well-being.   What We Offer YouComprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA)  Employee assistance plan and comprehensive behavioral health benefits Fertility benefits, including surrogacy, and adoption assistance programs   Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children  Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance  Short-term & long-term disability plans   Paid parental and caregiver leave   401(k) Plan with pre-tax, Roth, and after-tax options and company match with immediate vesting Education assistance and student loan programs     Other Programs: Flexible Work Arrangements, including remote and hybrid work schedules Time off to include vacation, paid holidays, sick leave, Summer Fridays (early release), and a winter break between Christmas and New Year’s Day (based on business needs) Referral bonuses (subject to eligibility)   Matching gift program   A wide variety of employee business resource groups (EBRGs)   Special discounts on Sony products, offered exclusively to Sony employees Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions)   Annual incentive bonus The anticipated annual base salary for this position is $140,000 to $155,000. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Sony is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), gender, national origin, citizenship, ancestry, age, physical or mental disability, military status, status as a veteran or disabled veteran, sexual orientation, gender identity or expression, marital or family status, genetic information, medical condition, or any other basis protected by applicable federal, state, or local law, ordinance, or regulation.Disability Accommodation for Applicants to Sony Corporation of AmericaSony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.EEO is the LawEEO is the Law SupplementRight to Work (English/Spanish)E-Verify Participation (English/Spanish) While SCA does not require employees to be vaccinated against COVID-19, there are certain Sony offices that require employees to be vaccinated in order to enter. If you will be located at or travel to those offices, you will be required to be fully vaccinated to enter. The Company will consider requests for reasonable accommodations for documented medical reasons and for sincerely held religious beliefs in accordance with applicable law. Please do not include proof of vaccination status or any indication of a possible request for a vaccination accommodation when submitting your application materials. If applicable, the Company will follow up with you directly to request proof of vaccination and to discuss any potential accommodations.",Mid-Senior level,Data Scientist I
+545,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:Join the E-commerce Global Supply Chain and Logistics team at TikTok! We're enhancing the shopping experience and reducing logistics operational costs. We are seeking brilliant and motivated graduate software engineers, who are eager to apply their knowledge in machine learning (ML), operations research (OR), data mining, and statistical inference to real-world challenges.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.Responsibilities: Contribute to developing innovative deep learning and statistical models for efficient e-commerce logistics and ETA predictions. Harness data mining tools to construct logistics network knowledge graphs, contributing to a robust early warning system. Participate in crafting advanced predictive models for express package trajectories to improve network dynamics understanding and service accuracy. Assist in creating an optimized Service Network Design (SND) model to facilitate the smart expansion of our logistics operations. Support the design and implementation of predictive models for various logistics events, contributing to overall service improvement and cost savings.QualificationsMinimum Qualifications: Master's degree in Computer Science, Engineering, Operations Research, or related fields. Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline Strong understanding of data structures and algorithms, with excellent problem-solving ability. Strong understanding of applied machine learning and Big Data tools. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.Preferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications Internship experience or research experience, especially in e-commerce, supply chain, logistics, and transportation. Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI. Curiosity towards new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilitiesTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118657 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) - 2025 Start (MS)
+546,2025-03-27,"Provo, UT and Seattle, WA",,Qualtrics,https://www.qualtrics.com/,"At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 19,000 clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. That’s where we come in. 
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+Founded in 2002, our company has spent over 21 years working with the industries that impact you every day. From retail to government to healthcare, we’ve been on a mission to bring humanity, connection, and empathy back to business. It’s a mission that thousands of Qualtricians across the globe think is work worth doing.
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+Mission: At Qualtrics, our mission is to build technology that closes experience gaps.","At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.Machine Learning Engineer IIWhy We Have This RoleWe are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!How You’ll Find SuccessWork in a supportive environment enables individual growth and achievement of team goalsCollaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customersDevelop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning modelsImplement new features and optimize existing ones to delight our customersHow You’ll GrowWork in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing businessBuild and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.Things You’ll DoWork closely with, and incorporate feedback from other specialists, tech-ops, and product managersLead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacityAttend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customersFinding quick ways to prototype and test possible solutions to large problemsWhat We’re Looking For On Your ResumeBachelor’s degree in Computer Science or related fields.2-5 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.Strong Computer Science fundamentals in algorithm design, complexity analysis, and performanceExperience with data preparation and manipulation for high quality model resultsExperience building and representing data models. Single and Mutli factExperience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented designExperience with applied machine learning models and large-scale ML systemsWhat You Should Know About This TeamThe Insights Generation team strives to create the highest-quality and most accurate insights for Qualtrics customers. We leverage all methodologies and look to build/consume new data assets that will improve insight quality to a class-leading level. We also work heavily with text and omnichannel data to incorporate human feedback into our insights.Our engineers collaborate closely with platform teams to ensure our products are tightly integrated and consistent with core platform behavior while having the flexibility to choose our architecture and the independence to quickly deliver on our business vision. The team’s focus on class-leading insights and customer value offers a fantastic opportunity to drive your career development and build a strong foundational understanding across Qualtrics systems.Our Team’s Favorite Perks And Benefits$1800 Experience bonus to be used for an “Experience” of your choosingUnlimited Sick DaysWe spend 10% of our time on individual engineering growth activities every quarterAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection ActQualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.Washington State Annual Pay Transparency Range$136,000—$257,000 USD",Entry level,Machine Learning Engineer II - Data and Insights
+547,2025-04-02,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is seeking a highly skilled Machine learning SOC Engineer with experience in Runtime and firmware development. As a key member of our engineering team, you will be responsible for designing, developing, and maintaining the host runtime, device drivers, APIs, and libraries to enable seamless interaction between the host runtime environment and various processing units. Your experience will enable us to streamline our Architecture validation and ensure the optimal performance of our AI Accelerator.Machine Learning SOC Engineer Responsibilities:Design and develop the host runtime environment for heterogeneous computing systems, ensuring efficient communication and data transfer between different processing units.Develop and implement device drivers, APIs, and libraries to enable seamless interaction between the host runtime environment and various processing units.Collaborate with hardware engineers to understand the architecture of heterogeneous computing systems and optimize the host runtime environment accordingly.Work closely with application developers to ensure that the host runtime environment meets their requirements and provides optimal performance for their applications.Participate in code reviews, and stay up-to-date with industry trends and emerging technologies.Troubleshoot and debug issues, working closely with hardware engineers and application developers to resolve problems.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.3+ years of experience in development in the area of heterogeneous computing or high-performance computing.Programming skills in languages such as C++, Rust, and Python.Experience with runtime development, device driver development, API design, and library implementation.Problem-solving skills to analyze complex technical issues and develop effective solutions.Communication and collaboration skills to work effectively with cross-functional teams.Preferred Qualifications:Knowledge of computer architecture, operating systems, and parallel programming models (e.g., OpenMP, MPI).Familiarity with heterogeneous computing platforms, such as NVIDIA CUDA, OpenCL, or AMD ROCm.Experience with object oriented, trait oriented and functional programmingKnowledge of machine learning frameworks, such as TensorFlow or PyTorch.Experience with agile software development methodologies and version control systems, such as Git, Mercurial.Familiarity with modern build tools like Bazel, Buck, CMake etc.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$142,000/year to $203,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,Machine Learning SOC Engineer
+548,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOur team's mission is to empower content understanding in TikTok businesses. Computer vision and natural language processing are important dimensions in video content understanding. We are working on cutting-edge content understanding topics including weakly-supervised learning, few-shot classification, video tagging, multi-task learning, multi-lingual learning, multi-modality pretraining, etc. As a content understanding team on the business side, we try to succeed in both achieving business metric gains (recommendation metrics), and also producing state-of-the-art research outputs.Responsibilities Conducting development and research on cutting-edge CV, NLP, multi-modality and recommendation topics Following SoTA progress in relevant fields and transform the ideas into production Life-cycle model development, from model training, deployment, maintenance, till its use in business scenariosQualifications Experience in one of more areas of computer vision, natural language processing and machine learning Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow, MXNet, Caffe/Caffe2) Familiar with deep neural network architectures such as transformer/SSM/CNN/RNN/LSTM etc Strong analytical and problem solving skills Ability to work collaboratively in cross-functional teamsPreferred Qualifications: Degree in computer science, electrical engineering or related fields Authors with publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLRTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at gprd.accommodations@tiktok.com.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $126000 - $221760 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Content Understanding"
+549,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our Trust and Safety engineering team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace the state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.We are looking for excellent machine learning engineers who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. A successful candidate will have machine learning expertise and good software engineering experience. And you will take pride in working with engineers, product managers and business partners to identity and solve the most challenging safety and integrity problems in the internet scale.Responsibilities - What You'II Do Play an important role in building the trust and safety machine learning model Work on highly-scalable classifiers, predictive models and algorithms in big data mining, computer vision, NLP and other domains Work with engineering teams to implement model pipeline and deploy the service at scale Collaborate with product team to define objectives and improve trust and safety strategy Collaborate with data analyst to understand and find data patternsQualificationsMinimum Qualifications This opening is for both entry level and senior level. Minimum requirement is a BS degree with 2+ years’ industrial experience, or a MS/PhD degree with 1+ years' relevant experience Hands on experience in one or more of the areas: machine learning, deep learning, pattern recognition, anomaly detection, data mining, computer vision, NLP or content understanding Good programming skills in Python and similar languages, and a deep understanding of data structures and algorithms Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems Experience in trust and safety is a plusTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $355000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - Trust and Safety
+550,2025-03-21,New York,,Baselayer,Baselayer.com,"Baselayer empowers over 2,000 financial institutions and government agencies to trust the small and medium-sized businesses they serve. 
+
+We use proprietary machine learning to search government records, the web, and private databases to answer questions about Compliance, Risk, or Fraud about any business in the United States.
+
+Our solution suite includes tools for identity verification (Know Your Business), enhanced due diligence, fraud prevention, risk profiling, lien filing, and portfolio monitoring. Our platform also offers unique credit stacking capabilities and an advanced repeat fraud prevention system.
+
+Baselayer is integrated into companies with over 30 million accounts, rating and verifying real-time applications. 
+
+Baselayer.com","About Baselayer: With experience across far-ranging banks, Fortune 500 tech co’s, fintech unicorns 🦄, and AI experts, Baselayer is built by financial institutions, for financial institutions. Started in 2023 by experienced founders Jonathan Awad and Timothy Hyde, Baselayer has raised $20 Million and hit $2 Million in ARR faster than any other identity company in history. Today more than 2,000 Financial Institutions and Government Agency customers later, Baselayer is revolutionizing the way businesses approach fraud prevention and compliance. 🏆Check out their press release here → https://baselayerhq.com/press/About You: You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win—you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions.You have 1-3 years of experience in machine learning development, working with Python and building ML modelsYou're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systemsYou have a strong foundation in AI/ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniquesYou prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYBYou have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performanceYou thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstractionProblem-solver who navigates the unknown confidentlyProactive self-starter who thrives in dynamic settingsIncredibly intelligent and clever. You take pride in your modelsHighly feedback-oriented. We believe in radical candor and using feedback to get to the next levelResponsibilitiesModel Development & Integration: Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM spaceML System Design: Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use casesData Processing & Feature Engineering: Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional dataAdvanced ML Techniques: Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity spaceML Infrastructure: Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued innovationModel Governance & Compliance: Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulationsPerformance Optimization: Implement optimizations for model inference and training, ensuring ML services can efficiently process identity data while maintaining reliabilityExperimentation & Evaluation: Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use casesBenefitsHybrid in SF. In office 3 days/weekFlexible PTOHealthcare, 401KSmart, genuine, ambitious teamStart date: JuneSalary Range: $150k – $225k + Equity - 0.05% – 0.25%",Entry level,Machine Learning Engineer
+551,2025-04-02,Woonsocket,RI,CVS Health,http://CVSHealth.com,"CVS Health is the leading health solutions company, delivering care like no one else can. We reach more people and improve the health of communities across America through our local presence, digital channels and over 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. 
+
+Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day. Follow @CVSHealth on social media. ","At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position SummaryIf you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.As a Machine Learning Engineer, you will design, develop, and operationalize highly complex and large-scale Machine Learning Solutions on the Google Cloud Platform. In addition to the traditional machine learning toolset, you will work with large language models, vector stores, deep learning, and other advanced tools to handle, analyze, and generate insights from large volumes of data.You will be working with a mature data science organization at a Fortune 6 company. You will be responsible for operationalizing the analytical workloads and ML Pipelines using GCP AI/ML Services to support traditional ML use cases, as well as NLP, NLM, audio or image processing. You will support the deployment of advanced algorithms and applications, follow architecture and engineering best practices, and deliver software that is well documented, error free, scalable and performance optimized.As a Machine Learning Engineer, You WillDevelop and implement machine learning models using appropriate algorithms and techniques. This includes model selection, training, tuning, and evaluation.Design, develop, and deploy scalable and high-performance data pipelines using GCP services (e.g., Dataflow, Dataproc, Pub/Sub, BigQuery, Cloud Storage)Use software development best practices like code review, continuous integration, and continuous delivery (CI/CD), release management, and version control.Develop and maintain data quality checks and monitoring systems to ensure data accuracy and completeness.Collaborate with data scientists and machine learning engineers to optimize data for model training and inference.Build and maintain data infrastructure for AI/ML workloads, including feature stores, model registries, and experiment tracking systems.Automate data pipelines and infrastructure using tools like Apache Airflow or similar orchestration platforms.Troubleshoot and resolve data-related issues and performance bottlenecks.Stay up to date with the latest advancements in data engineering, cloud computing, and AI/ML technologies.Work to enhance existing test automation processes, improving efficiency, and reducing manual intervention across environments.Partner with teams and serve as cross-functional expert to provide bench-marked solutions to multiple, complex technical projects/initiatives using multiple interlocking technologies.Implement data quality checks and monitoring to ensure data accuracy and reliability for model training and prediction.As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.Required Qualifications1+ years of experience with one or more modern languages, such as Python, Java, etc.1+ years of experience with common ML libraries (i.e. Scikit-learn, XGBoost, NumPy, Keras, PyTorch, etc.) and ML algorithms (i.e. clustering, decision trees, boosting, etc.)1+ years of experience with developing Analytical pipelines (using languages such as SQL and PySpark) against Cloud Data Warehouses such as BigQuery, Snowflake or RedshiftPreferred QualificationsExperience with complex systems and solving challenging analytical problemsEffective written and verbal communication skillsExperience with ML operationalization and data and model lifecycle managementExperience deploying and monitoring analytical assets in batch/real-time business processesExperience in cloud environments (GCP preferred): bucket storage, BigQuery, Kubeflow, DataProc, VertexAI, DataFusionUnderstanding of DevOps principles and tools (such as GitHub, Jenkins, Circle CI, Argo CD, Artifact Registry, Nexus)Experience in developing distributed data processing pipelines using libraries like Apache Spark or Beam.Understanding of dependency management and containerization of applications supporting analytical workloads (i.e. Dockers, GKE)Exposure to developing RESTFUL APIs against enterprise data assets and features to support real time operational ML pipelines. Experience with FastAPI or Flask is preferred.Experience in data visualization tools and librariesFormal SAFe and/or agile experience. Previous healthcare experience and domain knowledgeEducationBachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred.Anticipated Weekly Hours40Time TypeFull timePay RangeThe Typical Pay Range For This Role Is$72,100.00 - $173,040.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great Benefits For Great PeopleWe take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.For more information, visit https://jobs.cvshealth.com/us/en/benefitsWe anticipate the application window for this opening will close on: 05/26/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.",Entry level,Machine Learning Engineer
+552,2025-04-09,New York,NY,thrively,https://thrivelytalent.com,"Thrively exists out of a conviction that organizations need strong recruiting and HR partners like never before. We are a team of seasoned professionals who have all held senior leadership positions, sat on executive teams, and worked closely with boards. We’ve had to navigate scaling up quickly and scaling down. In a post-pandemic era we understand the stress that is placed on business leaders. Talent is demanding more work flexibility and authenticity from their leaders than ever before while leaders are feeling the demand from investors to stay lean and get to and maintain profitably. It’s no longer growth at all costs and everyone is trying to adjust. We know how to partner with leaders in this new dynamic to ultimately put the right talent in the right roles at the right time.
+","Our client, a fast-growing tech startup backed by top-tier investors, is on a mission to transform how small businesses leverage technology to grow and operate. They are building AI-powered tools and digital infrastructure to support home service professionals—from roofers to landscapers and everything in between.As the company continues to scale, they’re looking for a talented AI Engineer to join their Boston-based team. This is a rare opportunity to have a meaningful impact on a growing product and work alongside a high-caliber, collaborative engineering team.⚡ What You’ll Do:Enhance AI Agent and Chat Capabilities: Develop AI-powered assistants that help customers run their businesses more effectively.Deploy & Scale AI Features: Build infrastructure and pipelines to support real-time AI interactions in a production environment.Experiment & Iterate: Prototype new AI applications, evaluate their performance, and continuously improve based on user feedback.Collaborate Across Teams: Work closely with engineering, product, and design leaders to shape product strategy and execution.🎯 What We’re Looking For:2+ years of experience in AI, ML, or NLP-related roles (and/or 5+ years as a software engineer)Strong problem-solving skills and a bias for action in ambiguous, fast-paced environmentsHands-on experience with OpenAPI, embeddings, vector databases, and retrieval-augmented generation (RAG)Familiarity with LLMs, prompt engineering, fine-tuning, and evaluation strategiesExperience deploying AI models into production environments (real-time systems, cloud APIs, etc.)Passion for building alongside empowered product and design teamsProficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging FaceBonus: Experience with Django, PostgreSQL, and modern frontend frameworksStrong communication and collaboration skillsA team player with curiosity, humility, and a great sense of humor🙌 What They OfferCompetitive compensation package with equityUnlimited vacation policy, 9 company holidays, and 1 volunteer day per yearComprehensive health, dental, and vision insurance401(k) planA fun, close-knit team that values building great products—and enjoying the ride",Mid-Senior level,AI Software Engineer
+553,2025-04-01,Palo Alto,California,Inflection AI,https://inflection.ai,"Inflection AI is a public benefit corporation leveraging our world class large language model to build the first AI platform focused on the needs of the enterprise. 
+
+Inflection AI was re-founded in March of 2024 and our leadership team has assembled a team of kind, innovative, and collaborative individuals focused on building enterprise AI solutions. We are an organization passionate about what we are building, enjoy working together and strive to hire people with diverse backgrounds and experience. 
+
+Our first product, Pi, provides an empathetic and conversational chatbot. Pi is a first public instance of building from our 350B+ frontier model with our sophisticated fine-tuning (10M+ examples), inference, and orchestration platform. We are now focusing on building new systems that directly support the needs of enterprise customers using this same approach
+
+Want to work with us? Have questions? Apply to job below or reach out to us with questions! ","Software Engineer (Backend, ML)Inflection AI is a public benefit corporation leveraging our world class large language model to build the first AI platform focused on the needs of the enterprise.Who we are:Inflection AI was re-founded in March of 2024 and our leadership team has assembled a team of kind, innovative, and collaborative individuals focused on building enterprise AI solutions. We are an organization passionate about what we are building, enjoy working together and strive to hire people with diverse backgrounds and experience.Our first product, Pi, provides an empathetic and conversational chatbot. Pi is a public instance of building from our 350B+ frontier model with our sophisticated fine-tuning (10M+ examples), inference, and orchestration platform. We are now focusing on building new systems that directly support the needs of enterprise customers using this same approach.Want to work with us? Have questions? Learn more below.About The RoleAs a Member of Technical Staff, Backend Engineer, you will be instrumental in unblocking critical projects and developing robust backend services. You’ll work primarily in Python and TypeScript/Node to build and maintain the tools and systems that power our inference pipelines, data tools, and security frameworks. While deep ML expertise isn’t required, a willingness to learn and a basic familiarity with ML workflows will be highly valued.This is a good role for you if you:Have strong backend engineering experience, particularly in Python and/or TypeScript/Node.Are comfortable developing reliable, scalable backend systems that can integrate with diverse technology stacks.Enjoy solving programming challenges and are eager to expand your knowledge of ML-related infrastructure.Are a proactive problem solver who can work independently while collaborating effectively with cross-functional teams.Believe in the impact of robust backend infrastructure on the success of enterprise-grade AI solutions. Responsibilities include:Designing, developing, and maintaining backend services and tools to support our ML inference pipelines, data tools, and security systems.Collaborating with teams across the organization to integrate backend solutions seamlessly with our front-end and ML components.Ensuring high levels of scalability, reliability, and security in the systems you build.Participating in code reviews, testing, and documentation efforts to maintain our high-quality software standards.Continuously learning about ML workflows and contributing innovative ideas to further enhance our AI platform.",Mid-Senior level,"Software Engineer (Backend, ML)"
+554,2025-04-03,Tampa,Fl,Kforce Inc,https://kfrc.co/4cjVXax,"Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers industry-leading companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise.
+
+Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®","ResponsibilitiesKforce has a client that is seeking a Data Scientist in Brooklyn, NY. Summary: We are looking for a Data Scientist to help optimize customer interactions with our vast catalog of unique items. You will work with analytics, machine learning, and product teams to ensure data accuracy, develop visualizations, analyze trends, and drive data-driven decisions. Duties Include: Build dashboards and reports in Looker to track key metrics Develop and maintain data rollups for reliable reporting As a Data Scientist, you will conduct ad-hoc analysis using SQL and BigQuery Analyze A/B test results to measure impact Collaborate with cross-functional teams to translate data into strategyRequirements Experience with Looker, SQL, and Python or R Strong data visualization and analytics skills Ability to ensure data accuracy and accessibilityNice-to-Haves: Experience with clickstream data, A/B testing, and marketplaces Proficiency in LookML and statistical conceptsThe pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.This job is not eligible for bonuses, incentives or commissions.Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.",Associate,Data Scientist
+555,2024-10-15,Frisco,Texas,Adroit Innovative Solutions Inc,https://www.adroitinnovative.com/,"Adroit Innovative Solutions is a US-based IT Consultancy & Services company. We are committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — put clients first, do the right thing, lead with exceptional ideas, commit to diversity and inclusion.
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+
+Adroit has worked on providing highly valued solutions in field of Data Engineering, Digital Transformation, Salesforce, IT Staffing, Resource Planning and Application Managed Services. 
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+Our solutions are helping businesses across continents, serving more than 100 industries and their verticals. ","Job title: Machine Learning EngineerLocation :- Philadelphia, PA, or Washington, DC (Hybrid)Visa: ANYExp:5+ YEARSPlease Find the Below Requirement If You’re Interested, Please Share Me your Updated Resume To rakeshmanda@adroitinnovative.comJob DescriptionRequired Skills:Design, build, and deploy machine learning models within the proposed platform, ensuring they are optimized for performance and scalability.Collaborate with Data Scientists and Data Engineers to implement feature stores, model management (MLOps), and Explainable AI (XAI) capabilities.Monitor and optimize the performance of deployed models, ensuring they meet business requirements and performance standards.Support model management, versioning, and deployment workflows to streamline the operationalization of machine learning models.Engage directly with customers to understand their business problems and help implement tailored ML solutions.Deliver Machine Learning projects end-to-end, including understanding business needs, planning projects, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud to deliver business impact.Utilize deep learning frameworks like PyTorch and TensorFlow to build computer vision models for versatile applications.Work on large-scale datasets, creating scalable, robust, and accurate computer vision systems.Collaborate with Cloud Architects to build secure, robust, and easy-to-deploy cloud-native machine learning solutions.Work closely with customer account teams and product engineering teams to optimize model implementations and deploy cutting-edge algorithms.Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring.Apply best practices from core Software Development activities to Machine Learning, including deplorability, unit testing, and structured, extensible software development.Preferred QualificationsProven experience in building and deploying machine learning models at scale.Proficiency with deep learning frameworks like PyTorch and TensorFlow.Experience with cloud-native machine learning solutions, preferably on AWS.Experience with DatabricksExperience with Agile MethodologyStrong understanding of MLOps workflows, including model management.Ability to work independently and collaboratively with cross-functional teams.",Entry level,Machine Learning Engineer
+556,2025-03-28,San Francisco,California,Perplexity,https://www.perplexity.ai,The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.,"Perplexity is seeking experienced Applied AI&ML Engineers to help build next generation of personalization experience. In this role, you'll focus on improving user happiness on Perplexity by making the content highly relevant, personal and inspiring.ResponsibilitiesArchitect and build the next generation of personalization platform and models which serves as the foundation of highly personalized Perplexity user journeyBuild effective data and models for LLM content and convert them into personalized ML signals which drives customized recommendationWork across stack to deliver various types of models (LLM to DNN) to end users in a scalable and performant way\Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end usersQualificationsStrong programming skills with the ability to work across the stack in a typical recommendation system or LLM stackExperience in training DNN and Transformer architecture modelsExperience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideasUnderstands how to make tradeoffs in using different modelsSelf-motivated with a willingness to take ownership of tasksA passion for shipping quality products4+ years of industry experienceThe cash compensation range for this role is $200,000 - $280,000.At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine just over a year ago. Our AI-powered search assistant has amassed 10 million monthly active users as of early 2024, with our mobile apps installed over 1 million times across iOS and Android devices. In 2023 alone, we served over 500 million queries from users around the globe.To support our rapid expansion, we've raised significant funding from some of the most respected investors in technology. In January 2024, we raised $73.6 million in a Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks, and other prominent firms. We followed that up with a $62.7 million Series B1 round in April 2024 led by Daniel Gross, valuing Perplexity at over $1 billion.Our prominent investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals.Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.Equity: In addition to the base salary, equity is part of the total compensation package.Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.",Entry level,AI Machine Learning Engineer - Personalization - SF
+557,2025-03-24,London,England,Storm2,https://www.storm2.com,"Storm2 are the leaders in FinTech recruitment, connecting organisations with the talent to drive their mission. 
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+Storm2 was launched in 2019 when we identified a need for specialist talent within a hyper growth sector. We have a unique understanding of our clients, having achieved over $11m in investment since launch, and scaling quickly across the US.
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+We take a micro niche approach to FinTech recruitment, with each of our expert consultants solely operating in one of the key verticals needed to scale a FinTech: Engineering, DevOps, Commercial, Risk, Compliance, Product Management, Finance & Operations. This means that each of our consultants has the richest network of FinTech professionals in the market.
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+We are the leading provider of FinTech-focused information to clients for market compensation and best practice in diversity, hiring and retention.
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+Our mission is to be the recruitment arm of the FinTech industry, connecting the very best senior FinTech talent with innovative businesses worldwide. 
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+Storm2 is a trading division of Levin.","Job Title: Machine Learning Engineer Location: Remote Employment Type: Full-time Reports to: CTOWe are looking for an experienced and highly motivated Machine Learning Engineer to join our clients team. They are a fast-growing, well-funded startup developing AI-powered tools for financial professionals. About the Role: As a Machine Learning Engineer, you will:Design, develop, and maintain machine learning systems, including generative AI, speech recognition, and language modeling workflows.Collaborate with other developers to integrate these models into production environments.Develop and maintain unique data sets for both internal and external use.Stay up to date with industry advancements and explore new model innovations.About You: We’re looking for engineers who align with our startup culture and share our core values:Driven by curiosity and a passion for delivering meaningful value to customers.Committed to building high-quality tools and paying attention to every detail.Dedicated to writing clean, maintainable code that empowers the team.Thrive in a collaborative environment with minimal bureaucracy.Adaptable, comfortable with taking on different roles and learning new technologies.Understand that working at a startup sometimes requires flexibility in hours and responsibilities.Prioritize initiative and getting things done over rigid processes.We believe the best communicators are those who teach with empathy, align teams, and drive them to accomplish more quickly. If you are excited by the opportunity to join a mission-driven team, help build something transformative, and position yourself within a leading company, we’d love to connect.Highlighted Benefits:Fully remoteCompetitive salary100% company-covered medical, dental, and vision insuranceWell-funded Health Savings Account (HSA)401k and equity planFlexible work environment focused on results, not hoursUnlimited PTO (for real)You’ll thrive here if you:Have 3+ years of experience in data science or machine learning.Are proficient in tools and practices for industry-standard generative AI systems.Have strong knowledge of relational databases like Postgres and MySQL.Have excellent communication and collaboration skills.Are excited by the challenges and opportunities of working in a startup.",Director,Machine Learning Engineer
+558,2025-03-07,Pittsburgh,Pennsylvania,Abridge,https://www.abridge.com,"Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our Best in KLAS AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.
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+Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.","Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and Lawrenceville in Pittsburgh.The RoleAs an ML Infrastructure Engineer at Abridge, you will be responsible for scaling and deploying machine learning models to handle increasing traffic demands and integrating them with various platforms. You'll play a pivotal role in building a scalable infrastructure that not only supports current deployments but also lays the foundation for long-term growth. Your role will be critical in ensuring our AI-driven healthcare platform is powered by robust, scalable, and efficiently deployed models.What You'll DoArchitect, design, and implement ML software systems for deploying and managing models at scale. Stand up ML models for inference, starting with critical models like the 'linkages' model, and ensure they are capable of handling traffic increases. Develop and maintain infrastructure that supports efficient ML operations, including model evaluations, deployments, and training at scale. Collaborate closely with ML researchers, engineers, and cross-functional teams to ensure seamless integration of models with services like Zoom and Athena. Work with stakeholders across machine learning and operations teams to iterate on systems design and implementation. Optimize and maintain the performance of ML systems to ensure high availability, fault tolerance, and smooth scalability. Troubleshoot production issues and continuously improve systems to enhance performance and efficiency. What You'll Bring5+ years of experience in ML model deployment and scaling, with a focus on production-quality softwareStrong proficiency in Python and Kubernetes, with experience building scalable ML infrastructureExpertise in designing fault-tolerant, highly available systems. Experience working with cloud environments, Infrastructure as Code (IaC), and managing deployments using Kubernetes. Proficiency in optimizing system performance, debugging production issues, and designing systems for scalability and security. Experience in software design and architecture for highly available machine learning systems for use cases like inference, evaluation, and experimentationExcellent understanding of low-level operating systems concepts, including multi-threading, memory management, networking and storage, performance, and scaleBachelor's/Master’s Degree or greater in Computer Science/Engineering, Statistics, Mathematics, or equivalentExcellent interpersonal and written communication skillsIdeally, You HaveExperience with large-scale ML platforms like Ray, Databricks, or AnyScaleExpertise with ML toolchains such as PyTorch or TensorFlowProven experience working with distributed systems and handling inference at scaleBackground in working with teams and leaders to deliver impactful ML-powered solutions in fast-paced environmentsin machine learning toolchains and techniques, such as Pytorch or TensorflowDemonstrated experience incubating and productionizing new technology, working closely with research scientists and technical teams from idea generation through implementationBase Salary: $185,000 USD - $265,000+ USD per year + equity (dependent on experience)The salary range provided is based on transparent pay guidelines and is an estimate for candidates residing in the San Francisco Bay area. The actual base salary will vary depending on the candidate's location, relevant experience, skills, qualifications, and other job-related factors. Additionally, this role may include the opportunity to participate in a company stock option plan as part of the total compensation package.Must be willing to work from our SF office at least 3x per weekThis position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco within 6 months of accepting an offer.We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.Why work at Abridge?At Abridge, we’re driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the “inverse” way in a legacy system—focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgrounds—an experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time. We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees. Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees. 401k and Matching: Contribution matching to help invest in your future. Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more. Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment. Compensation and Equity: Competitive compensation and equity grants for full time employees. ... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.Compensation Range: $185K - $265K",Mid-Senior level,Machine Learning Infrastructure Engineer (All Levels)
+559,2025-03-19,,,Voltai,www.voltai.com,AI models for electronics,"About VoltaiVoltai’s mission is to re-build the physical world through developing super-intelligence to accelerate the pace of hardware innovation. Our focus is to build frontier models that could understand one of the world’s most complex technologies—semiconductor and electronics.About the RoleWe’re looking for a Software Engineer - AI Training Data who thrives in tackling complex challenges and is passionate about building innovative systems for data management. As a Software Engineer at Voltai, your primary responsibility will be to build and optimize the world’s largest semiconductor dataset, leveraging your expertise in software engineering and scalable infrastructure.You will play a critical role in preparing data for our Machine Learning team and developing systems that manage vast amounts of information across various modalities such as text, images, circuits, and more.Key Responsibilities:Build and manage the world’s largest semiconductor dataset.Develop software solutions to efficiently scrape and handle data at an internet scale.Extract and clean information from diverse modalities, including text, images, circuits, simulations, and signals.Prepare and preprocess data for the Machine Learning team.Build systems to handle the transfer of customer data and feedback.Parse documents across various formats and structures.Develop software pipelines for data labelers and manage workloads across large cloud compute clusters.Implement and maintain systems for pre-processing datasets for AI training.Required Skillsets:Proven experience in building scalable software solutions for data pipelines.Expertise in PDF parsing and data extraction.Strong software engineering skills with a passion for improving data and model performance.Experience working with modalities beyond text and demonstrating exceptional work in those areas.Ability to build custom data processing libraries from scratch.Keeping up with state-of-the-art techniques for preparing AI training data.Proficiency in organizing and meticulously managing data across multiple clouds, modalities, and sources.Bonus Points:Background in Electrical Engineering.Experience in connecting machine learning model behavior to data distribution and data quality.Experience in fine-tuning large language models.Experience at a hyper-growth startup.Experience building software systems for training foundation models.Compensation PhilosophyAt Voltai, we believe that exceptional work deserves exceptional rewards. Our compensation structure is designed to reflect the value each team member brings to our pioneering efforts in the semiconductor and AI industries. For this role, we offer a highly competitive market-rate salary, tailored to the candidate's experience, expertise, and potential impact. Our approach ensures that compensation aligns with individual contributions and the long-term success of our mission.Our BenefitsAt Voltai, we believe in taking care of our team so they can focus on pushing the boundaries of innovation. Our benefits package is designed to support your well-being and fuel your professional growth.Unlimited PTO: We trust you to manage your time and know when you need a break. Recharge when you need it, no questions asked.Comprehensive Health Coverage: Your health matters. We offer top-tier medical and dental insurance to keep you and your loved ones covered.Commitment to Your Growth: At Voltai, we’re dedicated to your continuous learning and development. Whether it’s through challenging projects or opportunities for professional advancement, we invest in your journey to becoming a leader in your field.Visa Sponsorship: We support international talent and offer visa sponsorship to help you join our team, no matter where you are in the world.",Mid-Senior level,Software Engineer - AI Training Data
+560,2025-03-17,Phoenix,Arizona,Arizona Public Service - APS,http://www.aps.com,"APS is Arizona’s largest and longest serving electric utility, providing power for nearly 1.2 million customers in 11 of the state’s 15 counties.
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+Since our founding in 1886, APS has demonstrated a strong commitment to our customers in one of the country’s fastest growing states, earning a reputation for customer satisfaction, shareholder value, operational excellence and business integrity.
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+Our success derives from the creative and dedicated people of our company who demonstrate our core values of accountability, safety, integrity, and trust and respect.
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+At APS, we focus every day on our vision: “Creating a sustainable energy future for Arizona.” We will continue to meet the energy needs of our customers with a solid combination of price and service.","Machine Learning Engineer | Data Science & AnalyticsAre you passionate about leveraging machine learning to drive meaningful business outcomes? As a Machine Learning Engineer, you’ll take ownership of the end-to-end MLOps lifecycle, building and managing scalable solutions that turn complex data into actionable insights.What your day would be like: You are responsible for:MLOps Expertise: Design, build, deploy, and monitor machine learning solutions to enhance business operations in areas such as distribution assets and customer solutions.Data-Driven Development: Create and optimize scalable, resilient systems capable of processing and analyzing large volumes of data.Collaboration: Partner with data scientists, architects, and cross-functional teams to design innovative solutions aligned with business needs.Technical Leadership: Conduct code reviews, mentor team members, and implement best practices for software and ML development.Documentation & Visualization: Develop architecture diagrams, maintain robust documentation, and design workflows to monitor key performance indicators (KPIs).The kinds of people we want to talk to have done many of the following: Technical Prowess: Experience in machine learning, data engineering, and cloud-based solutions, with a strong understanding of scalable architectures.Analytical Mindset: Ability to think critically and creatively to solve complex problems and deliver impactful solutions.Team Collaboration: Strong interpersonal skills to work effectively with subject matter experts, engineers, project managers, and vendors.Organizational Excellence: Exceptional organizational skills to manage multiple projects while maintaining attention to detail.Communication Skills: Clear and effective communication to document processes, present insights, and foster collaboration across teams.If you’re a problem-solver with a passion for machine learning and a commitment to excellence, apply today and help us shape the future of intelligent business solutions!Machine Learning Engineer | Data Science & AnalyticsBS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related fieldAND minimum six (6) years directly related data analytics, data science, predictive modeling, building and deploying machine learning solutionsOR advanced degree and four (4) years directly related experience.Possesses a combination of strong analytical and problem-solving skills and programming knowledge, or an equivalent combination of education and experience with demonstrated comparable knowledge and abilities.High level of proficiency in commonly used programming languages and tools like Python, SQL, and cloud solutions to build and deploy scalable solutions.Strong communication, presentation and writing skills.Must be able to lead teams in evaluations and implementation of solutions.Must be able to work with key internal and external stakeholders and all levels of management.Preferred Special Skills, Knowledge or QualificationsMasters or Doctorate degrees in relevant fields2+ yrs of hands-on experience with major cloud machine learning and MLOps services in an enterprise setting.Familiarity with PyTorch or Tensorflow.1+ yr of experience with scaling infra using GPUs or PySpark2+ yrs experience with MLOps services including docker, CI/CD, Kubernetes, and building/managing/monitoring pipelines.Experience with serving generative AI servicesExperience in integrating ML inferences with webservices",Mid-Senior level,Machine Learning Engineer | Data Science & Analytics
+561,2025-03-22,San Francisco,California,Twilio,https://www.twilio.com/en-us?utm_source=linkedin&utm_medium=social&utm_term=corpcomms&utm_campaign=button&utm_content=button,"Today's leading companies trust Twilio's Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, from sales to marketing to growth, customer service and many more engagement use cases in a flexible, programmatic way. Across 180 countries, millions of developers and hundreds of thousands of businesses use Twilio to create magical experiences for their customers. ","Who We AreAt Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.See yourself at TwilioJoin the team as our next Research Engineer (ML) on Twilio’s Emerging Technology & Innovation organization.Who We Are & Why We’re HiringTwilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business.About The JobThis position is needed to spearhead ML/AI focused research projects, write about your findings, build prototypes, and explore emerging technologies for Twilio's Emerging Technology & Innovation (ETI) organization.Twilio's ETI organization is focused on exploring the future of customer engagement through research and experimentation. We dream big, but we also believe in rapidly prototyping our ideas to share with real customers for feedback and iteration. As an early member of this new organization, you will have the chance to influence the strategy and culture of our organization.As a Principal Machine Learning Engineer of the ETI organization, you will be responsible for leading research projects, experimenting with proof of concepts, and staying on the cutting edge of “what if”. There are many exciting challenges ahead of us and we are looking for an engineer who is comfortable with ambiguity, has a proven track record for delivering results, and has experience with the emerging technologies of AI, LLMs, and a passion for keeping up with their latest developments.ResponsibilitiesIn this role, you’ll:Research new ML and AI technologies and toolsBuild prototypes to further your research and test your hypotheses.Imagine new futures based on novel technologies.Share your learnings frequently with your fellow researchers in order to enable collaboration.Collaborate with data scientists, engineers, and developers to integrate AI models and algorithms into existing systems and applicationsCollaborate closely with your product, design and go to market partners to ensure we are all rowing in the same direction.Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. There will be a steep learning curve to this job, you should be comfortable diving in the deep end and creating clarity for yourself.Influence steering committee discussions on leveraging AI across the whole of Twilio.Most importantly, Experiment! As our new team grows, you should embody the practice of testing out new ideas and iterating based on feedback. Not only in the products you deliver, but in the way we conduct ML/AL research at Twilio.QualificationsTwilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!Required7+ years hands on experience writing code in a modern programming language (language agnostic)3+ years of research experience in a professional or academic setting where building your idea and testing it was a must.Experience evaluating the performance of different ML models/versions and making enhancementsExperience working collaboratively with ML engineers, data scientists or ML ResearchersExperience building an ML model and improving it. Passion for emerging technologies and staying up to date on their latest developments Proven track record of shipping products to production, testing ideas early with customers and iterating rapidly on their feedback.Exceptional collaboration skills, the key to our success is going to be tied to our ability to partner with other parts of the organization and help them be successful.Strong customer focus, our feedback loop with customers will be very tight!Excellent written and verbal communication skills. Our ideas will only be as good as our ability to share them.DesiredYou have previously shared your ideas in public forums through blog posts, meetup presentations, or speaking at conferences.Experience building a product from idea to product market fit (zero to one).Experience leading the development of products or features which leverage LLMsBuilder at heart. Through a hobby or your profession, you are passionate about being hands on and seeing your work come to lifeLocationThis role will be remote, but is not eligible to be hired in CT, NJ, NY, WA, PA or the surrounding areas of San Francisco, CA, Oakland, CA, or San Jose, CATravel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.What We OfferThere are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.Twilio thinks big. Do you?We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!If this role isn't what you're looking for, please consider other open positions.Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only.The estimated pay ranges for this role are as follows:Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.:$200,000-$250,000.Based in New York, Washington State, or California (outside of the San Francisco Bay area): $215,000-$265,000.Based in the San Francisco Bay area, California: $230,000-$290,000.This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state.Applications for this role are intended to be accepted until April 30th, 2025 but may change based on business needs. Twilio thinks big. Do you?We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@twilio.com.",Not Applicable,Research Machine Learning Engineer (L5)
+562,2024-03-17,New York,New York,Hang,http://hang.com,Agent-Powered CX,"Hang is building the future of loyalty for brands.Hang is the next generation brand loyalty & membership platform. By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang provides brands with a radically new type of loyalty experience for their customers.Today, they work with a variety of major brands (such as Ulta Beauty, Budweiser, Flipkart, and more), as well as multiple well-known, up-and-coming restaurant chains (Boba Guys, Roam Artisan Burger, and Williamsburg Pizza, among several others).Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs.Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger Global, Howard Schultz, Kevin Durant, Mr. Beast, and the founders of Warby Parker, Allbirds, and Bombas, among others.About The RoleWe are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform's capabilities, making key contributions to our product development, and driving data-driven decision-making.What You’ll DoModel Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making. Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to inform model development and business strategies. Algorithm Optimization: Continuously test and refine algorithms to improve accuracy and efficiency. Collaborative Development: Work closely with software engineers, data scientists, and product managers to integrate ML models into our platform and ensure seamless deployment. Research and Innovation: Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang. Technical Leadership: Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology. Who You AreBachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus. 5+ years of experience in machine learning and data related roles. Proven experience as a Machine Learning Engineer or in a similar role. Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch). Experience with data processing and data analytics. Experience with vector databases, demonstrating proficiency in managing and querying high-dimensional data. Familiarity with popular vector databases like Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss is required. Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology. Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations. Experience with snowflake, Postgres, RDS, Redis and AWS. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication skills and ability to work well in a team. Experience with Ruby is a plus. What Would Set You ApartYou have a passion for consumer brands and loyalty programs. BenefitsTop-tier health, vision, and dental insurance, including plans with $0 employee cost. Unlimited PTO / sick leaveCompetitive salary & equity compensation. Quarterly company offsites",Entry level,Machine Learning Engineer
+563,2025-03-29,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. Our mission is to protect billions of users and publishers across the globe every day. We embrace the state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.We are looking for excellent machine learning engineers who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. A successful candidate will have machine learning expertise and good software engineering experience. And you will take pride in working with engineers, product managers and business partners to identity and solve the most challenging safety and integrity problems in the internet scale.Responsibilities - What You'II Do Lead and build content understanding models for content moderation. Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, graph models, representation learning models, and LLM. Collaborate with product teams to define business objectives and improve trust and safety strategy. Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipeline at scale. Collaborate with data scientist team to understand the key challenges and propose data-driven strategies.QualificationsMinimum Qualifications: BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 2+ years of related experience. Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal/Graph/LLM), statistical models and applied mathematical methods. Strong coding skills, especially in Python and similar languages. Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.Preferred Qualifications Experience in LLM, multimodal modeling, representation learning and/or publications in top AI/ML conferences are a plus. Understanding of the business value of content understanding and content moderation. Experience in developing online ML systems including ranking, retrieval.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $194000 - $355000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - Computer Vision
+564,2025-03-27,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2875476",Not Applicable,"Machine Learning Engineer, AGIF"
+565,2025-03-28,Miami,FL,One Park Financial,https://www.oneparkfinancial.com,"One Park Financial helps small business owners access working capital. Through our own direct experience, we understand the strengths and needs of entrepreneurs and owners of smaller businesses and the challenges they face when searching for funding options. We believe everyone deserves a chance to succeed and own their dreams – on their own terms.  And we know that small and mid-sized businesses are critical to the well-being of their communities and the financial strength of our nation.
+
+Voted TOP WORKPLACE 2017, 2018, 2019, 2020, 2021 and 2022 in South FL!","Company Overview:One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small businesses by connecting them with a wide variety of flexible financing and funding options. Our mission is to provide entrepreneurs with the working capital they need to elevate their businesses to new heights. At OPF, we believe in working with high-performing individuals who are ready to play an integral part in our company's expansion. We know that our success hinges on our people, and we strive to enable them to do what they do best.Why Join Us? At OPF, we foster a dynamic and inclusive company culture that emphasizes collaboration, innovation, and personal growth. Our team is composed of passionate, driven individuals who are committed to making a difference. Here's what you can expect when you join our team: Innovative Environment: Work with cutting-edge technology and be part of a team that is constantly pushing the boundaries of fintech Professional Growth: We invest in our employees' growth with continuous learning opportunities, training programs, and career advancement paths Supportive Culture: Enjoy a supportive and inclusive work environment where your ideas are valued, and your contributions make a real impact Community Focus: Be part of a company that understands the importance of small and mid-sized businesses to their communities and the nation's financial health High-Performing Team: Join a team of badasses who are committed to excellence and are integral to our company's expansion and successWe are looking for a seasoned Data Scientist to join our Analytics team to enable core business transformation. This role will be responsible for using advanced statistical and machine-learning techniques to drive improvements. You will work closely with business stakeholders to understand problems and propose & implement AI/ML solutions. You will lead the charge in A/B testing within the organization and design experiments to prove success. You will perform EDA, identify modeling opportunities, feature engineer & ETL data, implement models and their monitoring, and highlight opportunities for change.We want to work with high-performing badasses who will play an integral part in our transformation of the company. We understand one thing: it all comes down to working with creative & committed people and enabling them to do what they do best.Responsibilities:Utilize advanced statistical and machine learning techniques to analyze large datasets and build new AI/ML modelsConduct exploratory data analysis, feature engineering, and data preprocessing to solve business problemsFacilitate the deployment and monitoring of models for real-time and batch processingPerform model evaluation and validation on a regular basis to ensure robust performanceEngineer A/B tests with scientific rigor. Gather test data and validate results to present to business stakeholdersChampion creative uses of existing data to solve business problems with intellectual curiosityProduce statistical and data analysis visuals (charts, infographics) to communicate findings clearly and effectively to a non-technical audienceCollaborate with team members, product managers, and business stakeholders to identify opportunities for new and innovative AI/ML solutionsAnalysis areas could include Onboarding Credit, Ongoing Credit, Marketing segmentation, Voice-based analysis, Text mining, Sentiment analysis, Risk quantification, and Risk-based pricingRequirementsQualifications:3-5 years of experience in Data Science and the Financial Industry, preferably in Credit or LendingMaster's degree in mathematics, statistics, computer science, or data scienceExperience in transforming existing processes with AI/ML-based approachesProficiency in data manipulation. Excellent SQL and Python skills for data wrangling and ETLExperience with dashboard tools such as PowerBI or other visualization toolsExperience building credit or risk models for Financial Services, Lending, or InsuranceExperience in validating models to identify ongoing improvementsRock Solid data science skillset - Exploratory Data Analysis, Feature Engineering, Fitting, Tuning, and Comparing models, and managing the model LifecycleExperience with statistical modeling and data analysis using programming languages such as PythonExperience in ML engineering, cloud-based deployment, and machine learning model lifecycle managementBenefitsLocal & National Health InsuranceDental and Vision insuranceGroup Medical Bridge401k with MatchGas StipendID Protection: 100% covered by the companyLife Insurance: 100% covered by the companyGenerous PTO and holidays",Associate,Data Scientist
+566,2025-04-03,San Jose,CA,Zoom,www.zoom.com,"Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom AI-first work platform you know and love. 💙
+
+Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, Contact Center and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.
+
+We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you'll find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
+
+Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home","Machine Learning EngineerWhat You Can ExpectAs a Machine Learning Engineer on our GenAI Engineering team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. You'll take the lead in developing and enhancing AI algorithms, techniques, and solutions for our AI Companion product. Working closely with experienced researchers and engineers, you'll be part of a dynamic team dedicated to achieving groundbreaking results.About The TeamThe GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion functionalities. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.ResponsibilitiesDesigning, implementing, and optimizing GenAI algorithms, techniques, and solutions to address complex business challenges.Collaborating with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.Participating in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.Identifying opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.Staying up-to-date with the newest developments in GenAI research and engineering to continuously improve our technical capabilities.What We’re Looking ForPossess a degree in Computer Science, AI, Machine Learning, Distributed Systems, or a related field.Be proficient in one or more programming languages such as Python, C, C++, or CUDA, with experience in building scalable software systems.Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities.Able to effectively collaborate with cross-functional teams and present technical concepts to both technical and non-technical audiences.MinimumSalary Range or On Target Earnings:$127 700,00Maximum$255 400,00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.We also have a location based compensation structure; there may be a different range for candidates in this and other locationsAt Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!Anticipated Position Close Date05/01/25Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.Our Commitment We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.",Not Applicable,Machine Learning Engineer - AIC Core
+567,2025-03-09,,,Falconer,https://falconer.ai/,"Create, find, and maintain trustworthy knowledge in one AI-powered platform.","Founding Machine Learning EngineerAt Falconer, we’re transforming how engineers create, access, and share knowledge. We’re looking for a Founding ML Engineer to help us build an AI-powered knowledge platform that companies love.As a founding engineer, you won’t just help shape our product development—you’ll have a seat at the table to define Falconer’s technical direction and culture.Key responsibilities:Participate in the entire product development lifecycle, including architecture, coding, testing, and deployingResearch and apply best practices in terms of Knowledge Graph, embeddings, vector and graph RAG search, fine-tuning, and model optimizationDevelop and maintain backend systems including API services, databases, and server-side logicOptimize tech stack and applications for maximum precision and speedWrite clean, efficient, and well-documented code, following industry best practices—the Falconer platform will help you!Stay updated with emerging technologies in web development and make recommendations for adopting new tools and practices Who you are:Degree in Computer Science, Data Science, Engineering, or equivalent work experienceMinimum of 2 years of experience in developing ML data pipelinesExperience with text embeddings, RAG systems, and similarity searchFamiliar with Entity and Relationship recognition modelsSkilled at prompt engineeringAbility to implement backend systems in Python and/or Node.jsYou can evaluate tradeoffs and propose the most appropriate storage solution (SQL, NoSQL, Vector DBs, Graph databases)You enjoy hard problems and open-ended assignmentsYou use data to make decisions, and experiment your way around hard problemsBonus points:You've developed products with LLMs before (extra if you've already built your own agents)You have fine-tuned foundational models to tailor responses to specific data use casesYou have experience with LlamaIndex and Memgraph to produce knowledge graphsPerks and benefits:Generous equity packageCompetitive salary and benefits401(k) retirement accountThe best equipment and tools, like a spec'd out MacBook, and dev prod tools like Cursor, Claude, and Linear to help you move fastFlexible work arrangements with in-office work or hybrid/remote work for the right candidateOur current office is in San Mateo, just steps from CaltrainFalconer was founded by the former Head of Docs at Stripe and Uber, and an AI/ML tech lead from Uber and Meta. We are venture-backed, with a phenomenal founding team and strong customer demand.",Entry level,"Software Engineer, Machine Learning"
+568,2025-04-03,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services.We use an AIGC large model, deep learning, machine learning and other technologies to establish a safe and trusted connection between billions of active users and the company's commercial products (advertising, e-commerce, live broadcast, etc.). By building a highly concurrent and highly reliable risk control system, we can perceive and deal with the risks of commercial products in real time. By building an end-to-end deep learning model and machine learning system, we can understand the content of commercial products and automatically review tens of millions of content in a short time. We sincerely invite you to join us and build the most advanced risk control system in the industry.Responsibilities: Responsible for understanding content of advertisements, including titles, images, videos, OCR texts, ASR texts, etc. Responsible for the construction of models, such as AIGC model, image/video model, multimodality model, etc. Responsible for model acceleration, improving inference efficiency while maintaining the effectiveness of models. Responsible for tracking and implementation of SOTA technologies in the CV/Multimodality.QualificationsMinimum Qualifications Excellent algorithm foundation and programming ability, familiar with mainstream programming languages such as python/c++. Familiar with model training frameworks, such as tensorflow, pytorch, mxnet, etc. Proficiency in building or finetuning LLMs at scale. Worked across CV, NLP or text/audio technologies.Preferred Qualifications Excellent algorithm foundation and programming ability, familiar with mainstream programming languages such as python/c++. Familiar with NLP-related tasks, such as text classification, keyword matching, large language model (LLM), etc. Familiar with CV-related tasks, such as image/video classification, object detection, retrieval, etc. Familiar with multimodality technologies, such as vision-language pretraining. Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills. Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability. Experience in Gen-AI or AIGC models is preferred. Published papers in CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $355000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Multimodality"
+569,2025-03-29,Appleton,WI,Coterie Insurance,https://coterieinsurance.com,"Coterie Insurance puts insurance agents and brokers first, delivering instant business insurance across the United States. 
+
+Coterie uses a partnership-based approach to help insurance professionals unlock untapped revenue in the small commercial space. 
+
+With an innovative quoting platform that delivers accurate pricing and bindable quotes in less than one minute, Coterie is making small business insurance effortless.   ","Who We AreThrough a partnership-based approach, Coterie helps insurance professionals unlock untapped revenue in the small commercial space. With an innovative quoting platform that delivers accurate pricing and bindable quotes in less than one minute, Coterie makes small business insurance effortless.We are on a mission to build and foster a world-class team to bring speed, simplicity, and service to commercial insurance. We value integrity, humility, passion, and intelligence. If you want to push yourself and reshape a $200B+ market, we’re excited to talk to you!What will the Associate Data Scientist do?Our growing Data & Analytics team aims to hire an Associate Data Scientist who is passionate about data and its ability to transform an industry. We seek a motivated individual who is curious, logical and can develop scalable data solutions that will drive our decision-making processes. We work 100% remotely which means that if you are a self-starter who views data analyses as a craft rather than a job, we want to speak to you!You’ll be a member of our Data & Analytics team working closely with data science teammates, data engineers, business intelligence developers and business owners to develop data products that enable Coterie to operate in a highly analytical environment.Your work will focus on both internal and external data. We develop robust, extensible solutions that are fundamentally sound but can also adapt with our growing business.You’ll have a crucial role on our connected and talented team of like-minded data professionals, and together we’ll continue to help Coterie transform the insurance industry.What We Are Looking ForIntellectual curiosity, learner mindsetSelf-starter who requires minimal supervisionDetail-orientedCreative problem-solvingScripting language experience (e.g., Python and/or R, SQL)What Will Make You Stand OutAzureAutomationCI/CDDatabricksMachine learning/predictive modelingNatural language processingVersion controlAPI experience preferredOur Interview ProcessOur hiring process generally consists of 4 phases. The goal is to provide an opportunity for us to learn more about our candidates while allowing them to get to know us as well!Phase 1: Selected candidates will then receive a short, coding assignment. This step represents an opportunity for you to showcase your skills. We value and respect your time, and we anticipate this exercise requiring no more than ~1-2 hours to complete.Phase 2: Qualified candidates will meet with a member of our People Operations team for a phone interview. This discussion is a high-level conversation to understand more about your background and interests and for us to share more about Coterie and the position.Phase 3: Selected candidates will be invited to participate in our PDP survey and meet with our Hiring Manager for a 2nd interview via Teams video. This interview is designed to be more detail oriented and allows you to learn more about the role and expected to be 30-60 minutes in length.Phase 4: Final candidates will receive an invite to our final interview series. This series will include 1:1 interviews with additional team members. The final series is roughly 1-2 hours in total.What's In It For YouCoterie has excellent benefits for all full-time employees. We offer the following:100% remoteHealth insurance through Aetna (we pay 100% of premiums)Dental and vision insurance through Guardian (we pay 100% of premiums)Basic life insurance (we pay 100% of premiums)Access to flexible spending account (FSA) or health savings account (HSA) (for those using HSA eligible plans)401K plan (up 4% match with immediate vest). Must be 21 years of age or older to participateFlexible PTO and 12 company-paid holidays each yearContinuing education annual stipendAnnual salary estimated between 75,000-90,000 based on national data. Candidates who meet all the minimum requirements and possess additional relevant experience, as outlined in the job description, may be considered for a salary above the midpoint of the above range. Salary is based on internal equity; internal salary ranges; market data/ranges; applicant’s skills; prior relevant experience; degrees or certifications, etc. Work AuthorizationAt this time, Coterie Insurance is unable to consider candidates who require current or future visa sponsorship. Applicants must have authorization to work in the United States without the need for sponsorship now or in the future. Falsification of an application, including work authorization status, is immediate grounds for dismissal from consideration.",Entry level,Associate Data Scientist
+570,2025-03-20,San Francisco,California,Splunk,http://www.splunk.com,Splunk is helping to build a safer and more resilient digital world by equipping customers with the unified security and observability platform they need to keep their organization securely up and running — no matter what digital disruptions come their way.,"Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!RoleAs the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.ResponsibilitiesDesign, develop, and maintain AI services in our AI platform that powers all our AI products.Implement and optimize CI/CD pipelines for machine learning model deploymentArchitect and manage cloud infrastructure using Infrastructure as Code principlesCollaborate with ML Engineers and Applied Scientists to build efficient model serving systemsMonitor system performance and implement improvements for scalabilityParticipate in code reviews and technical documentationTroubleshoot production issues and implement solutionsRequired QualificationsUS CitizenshipBachelor's degree in Computer Science, Software Engineering, or related field3+ years of experience in software development using languages such as Python and GolangStrong experience with cloud platforms (AWS, GCP, or Azure)Proficiency in containerization technologies (Docker, Kubernetes)Experience with CI/CD tools (Jenkins, GitLab CI, or similar)Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)Understanding of RESTful APIsKnowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databasesKnowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)Experience with version control systems (Git) and collaborative development workflowsPreferred QualificationsExperience with machine learning frameworks (TensorFlow, PyTorch)Understanding of ML deployment patterns and model servingFamiliarity with MLOps practices and toolsExperience with automated testing and quality assuranceKnowledge of security best practices in cloud environmentsSoft SkillsStrong problem-solving and analytical abilitiesExcellent written and verbal communicationAbility to work independently and in a team environmentStrong documentation skillsProactive approach to identifying and solving problemsAbility to learn and adapt to new technologies quicklySplunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.NoteBase Pay RangeSF Bay Area, Seattle Metro, and New York City Metro AreaBase Pay Range $146,400.00 - 201,300.00 per yearCalifornia (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and MassachusettsBase Pay Range $131,760.00 - 181,170.00 per yearAll other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.Base Pay Range $117,120.00 - 161,040.00 per yearSplunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https //splunkbenefits.com.",Not Applicable,"Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)"
+571,2025-04-05,San Francisco,California,Atomwise,http://www.atomwise.com,"Atomwise is a preclinical pharma company revolutionizing how drugs are discovered with AI. Atomwise has strengthened its drug discovery and development expertise by expanding its Board of Directors and creating a Scientific Advisory Board (SAB). These appointments signal a critical milestone for Atomwise as the company focuses on its own internal pipeline. 
+
+We invented the use of deep learning for structure-based drug discovery, today developing a pipeline of small-molecule drug candidates advancing into preclinical studies. Our AtomNet® technology has been used to unlock more undruggable targets than any other AI drug discovery platform. We are tackling over 600 unique disease targets with more than 250 partners around the world, including leading pharmaceutical, agrochemical, and emerging biotechnology companies. Atomwise has raised over $174 million from leading venture capital firms to advance our mission to make better medicines, faster. 
+
+We’re at a critical time in history where our need for new kinds of medicines is greater than any time in human memory. Fortunately, we can leverage advancing technology and scientific breakthroughs to accelerate discovery. New data, new algorithms, new compute platforms lift all of us, enable our work on the hardest of problems, empower us to invent and create, and ultimately save one billion lives. Join us: www.atomwise.com/careers","About Atomwise:Atomwise is a TechBio company leveraging AI/ML to revolutionize small molecule drug discovery. The Atomwise team invented the use of deep learning for structure-based drug design; a core technology of Atomwise's best-in-class AI discovery and optimization engine, which is differentiated by its ability to find and optimize novel chemical matter. The company's belief is that structurally novel chemical matter increases the likelihood of developing first-in-class and best-in-class medicines that have the potential to transform patient care.Atomwise has extensively tested its discovery and optimization engine, delivering hit ID success in over 230 academic and collaboration projects-to-date that cover a wide breadth of protein classes and numerous ""hard-to-drug"" targets. Atomwise is building a pipeline of small-molecule drug candidates with first-in-class and best-in-class potential in immunology.The Role:We seek a highly motivated and creative Machine Learning Researcher to join our growing team. You will be at the forefront of developing and applying advanced machine-learning models to accelerate the discovery of novel therapeutics. Your work will directly impact the development of innovative AI-driven drug discovery platforms. This role offers the opportunity to work on challenging problems at the intersection of machine learning, chemistry, and biology, with access to extensive datasets and state-of-the-art computational resources.Responsibilities:Develop and implement novel deep learning models for molecular property prediction, design and optimization, and virtual screening. Design and execute experiments to evaluate the performance of generative models in generating chemically valid and biologically relevant molecules. Collaborate with cross-functional teams of chemists, biologists, and software engineers to integrate ML models into drug discovery pipelines. Conduct in-depth analyses of model outputs and performance metrics to identify areas for improvement. Stay up-to-date with the latest advancements in machine learning and computational chemistry, and contribute to the scientific community through publications and presentations. Contribute to the development of scalable and efficient machine learning infrastructure by productionizing research for at-scale use by drug discovery teams. Explore and implement innovative techniques for multi-objective optimization, property prediction, and active learning within the context of generative modeling for drug design. Qualifications:Ph.D. in Computer Science, Machine Learning, Computational Chemistry, Bioinformatics, or a related field. Hands-on experience with graph neural networks, multi-task learning, active learning strategies, multi-objective optimization, and generative modeling, in particular their application to problems in small molecule drug discovery. Proficiency in designing and implementing novel machine learning architectures in PyTorch. Strong problem-solving and analytical skills, with a demonstrated ability to conduct independent research. Experience with collaborative software engineering and developing high quality, maintainable code in a large codebase. Demonstrable communication and collaboration skills. A strong publication record in relevant conferences and journals is highly desirable. Experience with 3D generative modeling and knowledge of protein-ligand interactions is a plus. Experience in optimizing models for large-scale training and inference is a plus. Familiarity with cheminformatics tools and libraries (e.g., RDKit) is a plus. Compensation & BenefitsCompetitive salary, commensurate with experience Stock compensation plan – you'll be an Atomwise co-owner Platinum health, dental, and vision benefits for you and your dependents 401(k) retirement plan with generous company match (up to 4%) Flexible paid time off (PTO), 13 paid holidays, and wellness breaks for employees to spend time with their loved ones and recharge Health Savings and Flexible Spending Account options to help save money on healthcare, daycare, and commuting Employee Assistance Program (EAP) and Pet Insurance Funding for professional development and conference attendance Flexible work schedule Generous paid parental leave Atomwise is an equal opportunity employer and strives to foster an inclusive workplace. We are a TechBio company leveraging AI/ML to revolutionize small-molecule drug discovery, and we know that we need a diverse team to develop medicines that serve diverse populations. Accordingly, Atomwise does not make any employment decisions (including but not limited to, hiring, compensation, and promotions) on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, veteran status, disability status, or any other characteristics protected by applicable federal, state, and local law.We strongly encourage people of diverse backgrounds and perspectives to apply.The base salary for this position is $175,000- $260,000. Pay is determined by multiple factors including, but not limited to, a candidate's geographical location, experience and skills. We're considering all levels of experience for this position.",Mid-Senior level,"Machine Learning Research Scientist/Engineer, AI/ML for Drug Discovery"
+572,2025-03-20,Cambridge,MA,Flagship Pioneering,http://www.flagshippioneering.com,"Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple transformative human health and sustainability products. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures. 
+
+The current Flagship ecosystem comprises over 40 companies, including Denali Therapeutics, Foghorn Therapeutics, Generate:Biomedicines, Inari, Indigo Agriculture, and Tessera Therapeutics. ","Company SummaryLila Sciences is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. Lila is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science.Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities. And our Physical Sciences effort is developing a novel AI and data-driven approach to materials discovery and development to accelerate the transition to a sustainable economy.At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.The RoleWe are seeking a mid-level Machine Learning Operations Engineer to join our growing team. In this role, you will focus on unifying data management at Lila by building and maintaining high performance and robust data pipelines to support a variety of machine learning use-cases. You will work closely with both LLM researchers and Applied AI Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and physical science automation.Responsibilities:Design and implement high-performance data processing infrastructure for large language model trainingCollaborate with researchers to implement novel data processing pipelinesDevelop an easy-to-use, secure, and robust developer experience for researchers and engineersContribute to the MLOps best practices at Lila Sciences and write technical documentation for staffQualifications:3+ years of experience in software engineering, with a focus in data engineering or DevOpsDemonstrated experience deploying and maintaining machine learning models in productionProficiency with Kubernetes, Docker, and Cloud (AWS Preferred)Proficiency with CI/CD tools and Frameworks (GitHub Actions preferred)Strong skills with Scripting languages (e.g. Python, Bash), VCS (git), and LinuxProven experience in cross-functional teams and able to communicate effectively about technical and operational challenges. Preferred Qualifications:Proficiency with scalable data frameworks (Spark, Kafka, Flink)Proven Expertise with Infrastructure as Code and Cloud best practicesProficiency with monitoring and logging tools (e.g., Prometheus, Grafana)Experience managing on-premises kubernetes environments (e.g. Rancher)Working at Lila Sciences, you would have access to advanced technology in the areas of:AI experimental design and simulation Automated liquid handling and instrumentation Generative molecular design Location: Cambridge, MA preferred; open to remote.More About Flagship PioneeringFlagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.",Mid-Senior level,Machine Learning Operations Engineer
+573,2025-04-08,Herndon,Virginia,"LanceSoft, Inc.",https://www.lancesoft.com,"Established in 2000, LanceSoft is a pioneer in delivering top-notch Global Workforce Solutions and IT Services to a diverse clientele. As a Certified MBE and Woman-Owned organization, we pride ourselves on fostering global cross-cultural connections that advance both the careers of our employees and the success of our clients' businesses.
+
+At LanceSoft, our mission is clear: to leverage our global network to seamlessly connect businesses with the right talent and individuals with the right opportunities, all without bias. We believe in providing Global Workforce Solutions with a personalized, human touch.
+
+Our comprehensive range of services spans various domains, encompassing temporary and permanent staffing, Statement of Work (SOW) arrangements, payrolling, Recruitment Process Outsourcing (RPO), application design and development, program/project management, and engineering solutions.
+
+Currently, our team of over 5,000 professionals caters to 110+ enterprise clients worldwide, including Fortune companies. Our client base represents a diverse spectrum of industries, including Banking & Financial Services, Semiconductor/VLSI, Technology, Healthcare & Life Sciences, Government, Telecom & Media, Retail & Distribution, Oil & Gas, and Energy & Utilities.
+
+Headquartered in Herndon, VA, LanceSoft operates 32+ regional offices across the North America, Europe, Asia, and Australia. We also have nine delivery centers strategically located in India in Bangalore, Indore, Noida, Baroda, Hyderabad, Bhubaneshwar, Dehradun, Goa, and Aligarh to further enhance our client service capabilities.","Location -Austin, TX pay rate - $54/hr on W2Requirements:1. Proven experience as a Machine Learning Engineer or similar role with a minimum of 5 years of experience in machine learning.2. Proven minimum 5+ years of data mining.3. Minimum of 5+ years of experience in programming with Python.4. Extensive experience in parsing unstructured data into structural form.5. Understanding of data structures, data modeling and software architecture.6. Strong understanding of machine learning techniques and algorithms, data mining, and statistical analysis.7. Proficiency with SQL,TensorFlow, PyTorch, Pandas, Keras and related libraries8. Experience with cloud platform: Azure and Databrick.9. Strong analytical, problem-solving, and communication skills.10. Ability to work as part of a team and independently.11. Outstanding analytical and problem-solving skills.12. BS in Computer Science, Mathematics, Statistics, or similar field; Master’s degree is a plus.",Mid-Senior level,Machine Learning Engineer
+574,2025-03-28,,,Altos Labs,http://www.altoslabs.com,"Altos Labs is a biotechnology company focused on restoring cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. The company comprises a community of leading scientists, clinicians, and leaders from academia and industry working together towards this common mission. 
+
+Altos operates in the San Francisco Bay Area, San Diego and Cambridge, UK.
+
+Note: Altos Labs will not ask you to download a messaging app for an interview or spend your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate or a practice within our organization.","Our MissionOur mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.For more information, see our website at altoslabs.com.Our ValueOur Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.What You Will Contribute To AltosAltos Labs is building high-performance, scalable, quantitative solutions for biomedical image analysis and integration with multi-Omics data. The team work at multiple scales including data from Electron/Light Microscopy, Digital Histology and Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups.ResponsibilitiesEvaluate state of the art and Retrain AI models across the full spectrum of imaging including: de novo protein design, structure identification and dynamics in single particle CryoEM ; light microscopy and multi-omics data integration and cross domain mapping of data collected in situ and in vivo.Demonstrate software engineering skills to develop reliable, scalable, performant distributed systems in a cloud environment.Develop efficient data loading strategy and performance tracking to train large models with distributed training across multiple nodes Build, deploy, and manage multi modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework.Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and software engineers.Bridge the communication gap between experimental scientists, algorithm developers and software deployers.Who You AreMinimum QualificationsBS/MS in Computer Science/Biomedical Engineering or related quantitative field.Candidates should have 2-5 years of relevant industry and/or academic experience.Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorfllow, Pytorch Lightning etc.Previous experience with Machine Learning at scale: Large Language Models and Self-Supervised/Contrastive/Representation Learning for Computer Vision applications and multi modal integration. Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics.Demonstrated track record of hands-on technical leadership and scientific contributions such as papers or conference communications.Excited to design and implement technical and cultural standards across scientific and technical functions.Preferred QualificationsBioinformatics data processing and analysis.Multi source data Integration.Experience with cloud computing and containerization.Knowledge of genetics/human geneticsThe salary range for Redwood City, CA:Machine Learning Engineer I: $144,500 - $195,500Machine Learning Engineer II: $170,000 - $230,000The salary range for San Diego, CA:Scientist I, Machine Learning: $141,950 - $192,050Scientist II, Machine Learning: $160,650 - $217,350Exact compensation may vary based on skills, experience, and location.For UK applicants, before submitting your application: Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice) This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.What We Want You To KnowWe are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation.Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/",Mid-Senior level,Machine Learning Engineer
+575,2025-04-09,New York,NY,Venmo,http://www.venmo.com,"At Venmo, we’re working to build a payment experience that's simple, delightful and connected. Since our founding in 2009, we’ve quickly grown from an idea hatched by two college roommates who wanted a better way to pay each other back to the go-to digital wallet that’s known and loved by millions. What started off as a simple SMS platform to send and receive money has evolved into a social payments app allowing people to pay, split and share their experiences.","The CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Description Summary:Meet Your Team PayPal is transforming global commerce. Our Engineering team is the heart of this transformation. We’re building innovative solutions that delight customers and drive business growth. Join our dynamic engineering team at PayPal, where you’ll have the opportunity to collaborate with talented peers and work on high-impact projects in an agile environment. We're not just building systems; we're creating scalable, high-performance solutions that make a real difference in global commerce. We prioritize code quality, customer focus, and rapid iteration. Our engineers work closely with design, product, and QA teams to deliver world-class experiences.Job Description:Your way to impactAt PayPal, Backend Software Engineers are the architects of our global payment platform. You'll design, develop, and optimize core systems that power millions of transactions daily, directly impacting our customers' experiences and our company's success.Your day-to-dayAs a Software Engineer, Backend Python you'll contribute to building robust backend systems. You'll collaborate closely with experienced engineers to learn and grow your skills.Develop and maintain backend components.Write clean, efficient code adhering to coding standards.Participate in code reviews and provide feedback.What Do You Need To BringBachelor's degree in Computer Science or related field.2+ years of backend development experience. Strong foundation in programming concepts and data structures.Proficiency in at least one backend language (Python)Proficiency in backend development using Python frameworks, with experience in technologies such as frameworks like Django and Flask.Strong understanding of web services and Service-Oriented Architecture (SOA) standardsExperience with databases (SQL, NoSQL)Preferred QualificationsExperience with large-scale, high-performance systems.Knowledge of the payment processing industry and relevant regulations.Experience with cloud platforms (AWS, GCP, Azure).Contributions to open-source projects.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.comWho We Are:To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspxCommitment to Diversity and InclusionPayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.Belonging at PayPal:Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please Join our Talent Community.We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.Notice to Applicants and Employees who reside within New York city. Click https://careers.pypl.com/Contact-Us/default.aspxto view the notice.REQ ID R0124673",Not Applicable,"Associate Software Engineer, Backend Python"
+576,2025-03-25,,,iFIT,http://ifit.com,"iFIT is a global health and fitness subscription technology company that provides unmatched fitness experiences and solutions to its growing community of six million engaged members across 120 countries. iFIT’s industry-leading brands – NordicTrack®, ProForm®, Weider, Freemotion®, and Sweat® – are powered by the iFIT-integrated health and fitness platform, which seamlessly connects the company’s proprietary software, experiential content, and interactive hardware. Based in Logan, Utah, with offices in Paris, Shanghai, Sydney, and Manchester, the company offers immersive, adaptive, personalized workout experiences for every fitness level and interest. iFIT delivers these patented interactive experiences through an extensive offering of live and on-demand workouts across the industry’s broadest range of connected fitness modalities. iFIT is a technology leader and pioneer in the health and fitness industry, with more than 400 issued and pending patents.","SummaryiFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition, and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey.We are currently seeking an ambitious pace-setter to join our team as a Machine Learning Engineer in a remote role. You'll be part of our AI team, working in a modern TypeScript/Python tech stack and using AWS and Terraform to build and deploy production ML services. Our engineering culture emphasizes autonomy - you'll own your services end-to-end, from development through deployment via GitHub Actions pipelines.ROLE COMMITMENTSBuild and maintain production-grade machine learning systems and AI modelsDrive technical excellence in ML engineering practices and infrastructureCollaborate effectively across teams to deliver integrated AI solutioContribute to our engineering culture of ownership and innovationStay current with ML/AI advances and evaluate their potential applicationEssential Duties And ResponsibilitiesDesign, develop and deploy production recommendation systems and generative AI modelsOwn the full ML lifecycle including data preparation, model development, training infrastructure, and production deploymentBuild robust, scalable ML services using modern cloud infrastructure (AWS) and IaC (Terraform)Write clean, tested code in TypeScript and Python following engineering best practicesCollaborate with product teams to understand requirements and translate them into technical solutionsContribute to ML platform infrastructure and toolingMentor other engineers on ML best practicesParticipate in code reviews and technical design discussionsMonitor and maintain ML systems in productionDocument technical decisions and system architectures",Entry level,Machine Learning Engineer
+577,2025-03-28,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","We are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. You will be part of our efforts to architect, design and implement a clean slate compiler for this activity and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts. You will contribute to a full stack development effort compiling PyTorch models down to binaries for custom hardware accelerator blocks.Software Engineer, Systems ML - Compilers Responsibilities:Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators.Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance.Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools.Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.Analyze and improve the efficiency, scalability, and stability of our toolchains.Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.2+ years experience developing compilers, runtime, or similar code optimization software.Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis.Experience in AI framework development or accelerating models on hardware architectures.Preferred Qualifications:Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow.Experience with machine-code generation or compiler back-ends.Experience working and communicating cross functionally in a team environment.Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Systems ML - Compilers"
+578,2025-04-03,Bristol,England,Rise Technical,https://bit.ly/RiseLinBio1,"Global Partners in Engineering Talent Solutions.
+
+Our experience and genuine interest in our specialist sectors means we understand the challenges facing our clients, and the value they place on recruiting motivated, first-rate and skilled talent. It’s our people-focused service that keeps businesses thriving, candidates rising and our business growing from strength to strength.
+
+Our purpose is to positively change lives through unrivalled organisation of highly motivated resources - Combining motivational matching with technical excellence to drive future growth. 
+
+For over a decade, we’ve been working with businesses – big and small – to attract outstanding permanent and contract engineering and technical talent. Our focused approach and specialist knowledge enables us to quickly get to know your specific business needs and find you people who are just right. We believe in keeping things straightforward and focus on exceptional quality, skilful efficiency and making well-considered connections.
+
+So far we’ve successfully placed over 23,000 technical candidates. And counting….","Machine Learning Engineer$150,000 to $250,000 + Equity + Benefits + PTOHybrid - San Francisco OR New York Are you a Machine Learning Engineer with a background cloud computing platforms and tools for managing ML workloads at scale, looking to work in a fast growing start-up with fast track progression opportunities?This is an incredible opportunity to join a start-up with 8 figure funding, where you will be able to work alongside passionate engineers and leading researchers to create groundbreaking and truly innovative technology.My client is a seed stage company that is developing an AI-powered platform, that enables users to create dynamic character videos by transforming text, images, or voice inputs into animated content. Through its cutting-edge AI models, it enables the creation of lifelike and customizable human characters.As a Machine Learning Engineer, you will design and oversee the services and infrastructure that support the company's models and power video generation. You will utilize your expertise in developing backend services, managing infrastructure as code, and deploying models that drive the company's offerings.This is great chance to join a well-funded start-up with strong momentum, in a role that allows you to work with top researchers and engineers, whilst developing a product with huge potential and benefiting from fast-tracked career progression.The Role:* Start-up with 8 figure seed funding* Design and oversee the services and infrastructure for models and power video generation* Develop backend services, managing infrastructure as code, and deploying models* Great opportunity to progression in a fast-growing companyThe Person:* Experience with Python and PyTorch* Proficiency in Docker, Kubeflow, and distributed training techniques* Experience developing/scaling pipelines, event streaming/processing in AWS (+ SQS or Kafka)",Mid-Senior level,Machine Learning Engineer
+579,2025-04-02,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is seeking a highly skilled Machine learning SOC Engineer with experience in Runtime and firmware development. As a key member of our engineering team, you will be responsible for designing, developing, and maintaining the host runtime, device drivers, APIs, and libraries to enable seamless interaction between the host runtime environment and various processing units. Your experience will enable us to streamline our Architecture validation and ensure the optimal performance of our AI Accelerator.Machine Learning SOC Engineer Responsibilities:Design and develop the host runtime environment for heterogeneous computing systems, ensuring efficient communication and data transfer between different processing units.Develop and implement device drivers, APIs, and libraries to enable seamless interaction between the host runtime environment and various processing units.Collaborate with hardware engineers to understand the architecture of heterogeneous computing systems and optimize the host runtime environment accordingly.Work closely with application developers to ensure that the host runtime environment meets their requirements and provides optimal performance for their applications.Participate in code reviews, and stay up-to-date with industry trends and emerging technologies.Troubleshoot and debug issues, working closely with hardware engineers and application developers to resolve problems.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.3+ years of experience in development in the area of heterogeneous computing or high-performance computing.Programming skills in languages such as C++, Rust, and Python.Experience with runtime development, device driver development, API design, and library implementation.Problem-solving skills to analyze complex technical issues and develop effective solutions.Communication and collaboration skills to work effectively with cross-functional teams.Preferred Qualifications:Knowledge of computer architecture, operating systems, and parallel programming models (e.g., OpenMP, MPI).Familiarity with heterogeneous computing platforms, such as NVIDIA CUDA, OpenCL, or AMD ROCm.Experience with object oriented, trait oriented and functional programmingKnowledge of machine learning frameworks, such as TensorFlow or PyTorch.Experience with agile software development methodologies and version control systems, such as Git, Mercurial.Familiarity with modern build tools like Bazel, Buck, CMake etc.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$142,000/year to $203,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,Machine Learning SOC Engineer
+580,2025-01-30,Monmouth Junction,NJ,First Soft Solutions LLC,http://www.firstsoftsolutions.net,"When you hire First Soft Solutions, you're hiring a strategic technology consulting partner committed to helping you meet your unique business and technology objectives on time, on budget and with an optimal experience. We apply the expertise of our global community of technology experts, an unmatched portfolio of proven solutions, flexible delivery and a laser focus on the Microsoft enterprise platform to help you increase revenue, reduce costs and reinvest in innovation for competitive advantage. And we bring unique connections with our clients and Microsoft, enhancing our ability to deliver effective mission-critical solutions for organizations across all industries. When selecting an First Soft Solutions solution, you'll receive the best of our thinking and experience. Based on engineered, tested and reusable technology assets, our solutions are proven to help customers streamline operations, create new products and services, optimize collaboration across all groups and boundaries, and serve their customers better.","We are actively hiring for Senior Machine Learning EngineerFull time W2 requirement Minimum 8+ years of experience is neededMinimum of 8 years of experience in machine learning and deep learning (Python, scikit-learn, XGBoost).Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras.Hands-on experience in Natural Language Processing (NLP).Proficiency in software development practices, including Git, PEP-8 standards, and Python advanced programming techniques.",Entry level,Machine Learning Engineer
+581,2025-03-27,"Provo, UT and Seattle, WA",,Qualtrics,https://www.qualtrics.com/,"At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 19,000 clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. That’s where we come in. 
+
+Founded in 2002, our company has spent over 21 years working with the industries that impact you every day. From retail to government to healthcare, we’ve been on a mission to bring humanity, connection, and empathy back to business. It’s a mission that thousands of Qualtricians across the globe think is work worth doing.
+
+Mission: At Qualtrics, our mission is to build technology that closes experience gaps.","At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.Machine Learning Engineer IIWhy We Have This RoleWe are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage.You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!How You’ll Find SuccessWork in a supportive environment enables individual growth and achievement of team goalsCollaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customersDevelop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning modelsImplement new features and optimize existing ones to delight our customersHow You’ll GrowWork in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing businessBuild and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.Things You’ll DoWork closely with, and incorporate feedback from other specialists, tech-ops, and product managersLead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacityAttend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customersFinding quick ways to prototype and test possible solutions to large problemsWhat We’re Looking For On Your ResumeBachelor’s degree in Computer Science or related fields.2-5 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.Strong Computer Science fundamentals in algorithm design, complexity analysis, and performanceExperience with data preparation and manipulation for high quality model resultsExperience building and representing data models. Single and Mutli factExperience in programming with at least one modern programming language such as Java, C# or Python, including object-oriented designExperience with applied machine learning models and large-scale ML systemsWhat You Should Know About This TeamThe Insights Generation team strives to create the highest-quality and most accurate insights for Qualtrics customers. We leverage all methodologies and look to build/consume new data assets that will improve insight quality to a class-leading level. We also work heavily with text and omnichannel data to incorporate human feedback into our insights.Our engineers collaborate closely with platform teams to ensure our products are tightly integrated and consistent with core platform behavior while having the flexibility to choose our architecture and the independence to quickly deliver on our business vision. The team’s focus on class-leading insights and customer value offers a fantastic opportunity to drive your career development and build a strong foundational understanding across Qualtrics systems.Our Team’s Favorite Perks And Benefits$1800 Experience bonus to be used for an “Experience” of your choosingUnlimited Sick DaysWe spend 10% of our time on individual engineering growth activities every quarterAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection ActQualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.Washington State Annual Pay Transparency Range$136,000—$257,000 USD",Entry level,Machine Learning Engineer II - Data and Insights
+582,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is dynamic, fast-pacing, collaborative and impact-driven.Responsibilities - What You'II Do Build industry-leading recommendation system, improving user experience, content ecosystem and platform security; Deliver end-to-end machine learning solution to address critical product challenges; Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.QualificationsMinimum Qualifications Bachelor degree in computer science or a related major, with 3+ years of related work experience; Strong software development experience with C++, Python or other programming language; Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product; Strong communication and teamwork skills; Passion about techniques and solving challenging problems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $126000 - $221760 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer, Feed Quality"
+583,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:2+ years of programming experience in a relevant programming language2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalentProven experience to translate insights into business recommendationsExperience with scripting languages such as Python, Javascript or HackExperience building and shipping high quality work and achieving high reliabilityCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining MetaPreferred Qualifications:Exposure to architectural patterns of large scale software applicationsPhD degree or research focused Master degree in ML areasAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$56.25/hour to $173,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+584,2025-03-31,San Ramon,California,Grid Dynamics,http://www.griddynamics.com,"Grid Dynamics empowers enterprise-scale companies to drive revenue growth, boost efficiency, and maximize the impact of their digital modernization initiatives. 
+
+Our clients span diverse industry verticals such as Retail, Manufacturing and CPG, Insurance, Wealth Management, Banking and Payments, Pharma and Life Sciences, and High-tech. We co-innovate with clients to help them solve complex business challenges and uncover new revenue streams through our technology consulting, platform and product engineering, AI, and advanced analytics services. 
+
+With expertise in simplifying and modernizing business operations, we enable clients to make data-driven decisions and support an evolving digital customer, from initial engagement to post-purchase support, driving efficiency and growth across business operations. 
+
+In addition to our work with enterprise leaders, we serve as a trusted co-innovation partner for startups, helping them address key challenges and transition into young enterprises poised for sustainable growth. By combining our deep technical expertise with a collaborative approach, we empower businesses—from startups to enterprises—to reach new heights.
+
+A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, application modernization, cloud & DevOps, and customer experience. Grid Dynamics offers a range of starter kits to its clients, enabling increased speed-to-market with business driving solutions.  
+
+Grid Dynamics is headquartered in Silicon Valley with a global footprint (Americas, Europe, and India) and a follow-the-sun delivery model bolstered by engineering talent driven by innovation, technical mastery, and resulting in transformational business outcomes.","We are seeking a highly skilled ML Engineer to join our team. You will work on creating robust and scalable systems, enhancing our project code base, and ensuring seamless integration pipelines.Responsibilities : Design and implement complex LLM applications for enterprise-scale solutionsLead LLM quality evaluation initiatives, including developing metrics and automated testing frameworksDrive LLM/VLM fine-tuning projects, including dataset preparation and optimizationDevelop and maintain ML pipelines following MLOps best practicesCollaborate with cross-functional teams to integrate ML solutionsMentor team members on ML engineering best practicesContribute to architectural decisions for ML systemsEvaluate and implement new ML technologies and frameworksDocument technical designs and maintain engineering standardsRequirements: 5+ years of experience in Machine Learning EngineeringDeep expertise in designing and implementing complex LLM applications, including multimodal, RAG, and agent-based systemsProven experience with LLM quality evaluation, including metric design and automation frameworksStrong background in LLM/VLM fine-tuning and distributed training frameworks (Ray or similar)Expert-level Python programming skills with focus on ML/data applicationsSolid understanding of MLOps and LLMOps principles and best practicesExperience with production ML systems and scalable data processing pipelinesMS/PhD in Computer Science, Machine Learning, or related field preferredWhat we offer: Opportunity to work on bleeding-edge projects.Work with a highly motivated and dedicated team.Competitive salary.Flexible schedule.Benefits package - medical insurance, sports.Corporate social events.Professional development opportunities.NB:Placement and Staffing Agencies need not apply. We do not work with C2C at this time.At this moment, we are not able to process H1B transfers. Applicants with CPT and OPT visas are welcome to apply.About Us: Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe.To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.",Mid-Senior level,Machine Learning (ML) Engineer
+585,2025-04-02,California,94086,Intuitive,http://www.intuitive.com,"Intuitive (Nasdaq: ISRG), headquartered in Sunnyvale, Calif., is a global technology leader in minimally invasive care and the pioneer of robotic-assisted surgery. At Intuitive, we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.","Company DescriptionAt Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.Job DescriptionPrimary Function of Position:Are you passionate about designing software solutions that enable complex user interfaces and user interactions? We are looking for someone who thrives in a collaborative product development environment and wants to push the boundaries of what is possible in surgical robotics today! Join our team of passionate and dedicated software, computer vision and machine learning engineers to develop real-time sensing and perception technologies that support complex human machine interfaces for next- generation robot-assisted surgery platforms.The successful candidate must excel in a high-energy, focused, small-team environment, and must have a solid track record of taking machine learning, deep learning, and computer vision technologies to product. A sound sense of mutual responsibility and shared reward is required.As part of the User Interaction Algorithms team, immediate responsibilities include:Participate in the design, development, and optimization of computer vision and machine learning based solutions for state-of-the-art user interfacesSupport tools to facilitate machine learning pipelines and automated workflowsTest and maintain large databases of surgical video, system data, and meta dataWork closely with research data scientists throughout analysis, visualization, and modeling effortsDevelop tools and methods for rigorous testing of algorithms prior to product launchPlay a central role in putting models into production and developing tools to monitor product performance in the fieldSupport multiple engineering and analytics teams in collecting, accessing, and analyzing dataAdditional Responsibilities IncludeStudy and improve algorithm performance metrics that correlate with user experience, and that can be used to drive continuous improvementKeep current with our software/hardware development efforts and understand overall trends in AI, ML and Cloud technologiesContinuously explore optimal data coverage for various use casesQualificationsSkill/Job Requirements:Minimum bachelor or master’s degree in Computer Science, Software/Computer Engineering, Applied Math, or related fieldMinimum 4-6 years commercial development experience with strong preference for candidates with medical device products. Experience developing computer vision software algorithmsHands-on experience developing computer vision and machine learning systems for products. Experience in medical or other regulated industries is a plusEnd-to-end experience with deep-learning-based products, including data engineering and pipelines for model training, deployment, and monitoringExperience with machine learning operations, tools, and workflowsSolid understanding of computer vision concepts including multi-view geometry, scene understanding, feature detection, and trackingExperience with one of the major ML frameworks (e.g., PyTorch, TensorFlow)Excellent software design, problem solving and troubleshooting skillsExcellent understanding of data structures and algorithmsExcellent Python, GNU, design pattern, OOP, and C/C++ programming skillsSolid mathematical foundation in linear algebraHigh-level of proficiency with databases in a Linux environment, including creating database schemasWorking knowledge of shell scripting and writing applications in PythonWorking knowledge of Docker and experience with AWS/cloud storage, Linux system, docker and job-scheduler is a plusExcellent teamwork and communication skills (both in oral and written)Additional InformationDue to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.Intuitive is an Equal Employment Opportunity. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.Mandatory NoticesWe will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.Base Salary Range Region 1: $161,500 USD - $232,500 USDBase Salary Range Region 2: $137,400 USD - $197,700 USDShift: DayTravel: NoneWorkplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.",Mid-Senior level,Machine Learning Engineer
+586,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Leading projects or small teams of people to help them unblock, advocating for ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapsCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Exposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+587,2025-04-02,Irvine,CA,Rivian,https://careers.rivian.com/,"Doing something different is never easy. It requires courage, optimism and grit. Core to our mission is building a team of adventurous individuals determined to make a positive impact on the world. This means challenging ourselves constantly. Stretching beyond the bounds of conventional thinking. Reframing old problems. Seeking new solutions. And operating comfortably in a space of uncertainty. While our backgrounds are diverse, our team shares a love of the outdoors and a desire to protect it for future generations. Do you like doing the impossible? We’d love to hear from you.","R | V Tech’s Core Data Team is searching for a talented Analytics and Data Engineer or a Senior Analytics and Data Engineer to design and implement scalable Extract, Load, Transform (ELT) pipelines, develop SQL and Python-based transformation logic, and ensure our data infrastructure supports seamless interaction with data across the company. In this role, the Analytics and Data Engineer will set the standard for R | V Tech’s Data Engineering best practices while also contributing to high-impact projects and enabling teams to leverage data effortlessly. This joint venture is experiencing significant growth, and this role will focus on selecting and building patterns that enable us to scale efficiently while maintaining high standards of data quality and accessibility.  Design, build, and maintain scalable Extract, Load, Transform (ELT) pipelines and workflows that transform raw data into actionable insights.Develop and optimize SQL and Python-based transformation code to process and curate data for analytics and reporting.Architect data models and schemas that enable self-service analytics and ensure data accuracy and consistency.Collaborate with cross-functional teams to identify data needs, create reusable data patterns, and implement best practices.Monitor and improve the performance and reliability of data pipelines, platform and infrastructure.Champion data quality through validation processes, monitoring frameworks, and automated testing.Partner with platform engineers to integrate new tools, technologies, and frameworks into the data ecosystem.Act as a mentor and thought leader for the data engineering community within the organization.Streamline tools and processes, mature existing patterns, and establish new patterns as needed scale gracefully across ingestion, governance and analytics to allow the organization to scale gracefully.Why Join the Core Data Team? Real-World Impact: See your ideas drive real-world impact across some of the world’s most recognized car brands.New Challenges: From zonal architecture to in-vehicle intelligence, work on cutting-edge technologies and challenging technical problems to define what’s next for the automotive experience.Engineering-Led: Thrive in an Engineering-Centric Culture that embraces first principles thinking to build scalable solutions. Highly Collaborative: Collaborate with teams of talented passionate Engineers and who believe the best work comes from bringing bold and diverse thinkers together. Opportunities: Professional Development, Career Advancement, and Tuition Reimbursement.Benefits: Health, Well-Being, Financial, and LGBTQIA2+ Benefits start on Day 1Time Away from Work: We’re passionate about creating a better way to explore the world, which includes a variety of ways to give Employees the time they need to rest, recharge, and go exploring. Cultivating Inclusion and Belonging: Read our 2024 Impact Report to learn more about our beliefs that inclusivity and equity are essential for meaningful and lasting social and environmental solutions.You might be a great fit if you also happen to be a fan of Data, Food, and Pets. Required:Office Location Requirement: Ability to work from R | V Tech’s Yaletown Office at least three days per week is required for this role.Work From Home: Ability to work from home two days a week is supported as well. On-Call: Participation in a rotating on-call schedule, including occasional weekends, late nights, and holidays, to resolve critical production issues is also required.Education: At least a Bachelor’s Degree is required for this role. Experience: At least 2 years of professional experience is needed for this role. Data Engineering and  Data AnalyticsBuilding and Managing data platforms.BI and Analytics tools like Tableau, Looker, and Microsoft Power BI, along with their integration into data platforms.Skills: Strong communication and collaboration skills are essential to excel in this role as our Core Data Team partners with and supports colleagues across the business with varying levels of technical expertise.Strong problem-solving skills and a passion for creating efficient, maintainable, and scalable data systems.Expertise in SQL and Python for data transformation and pipeline development. Programming languages for data manipulation, analysis, and visualization.Preferred:Bachelor’s Degree with a major in Computer Science, Engineering, Statistics, Mathematics, or a similar discipline is highly preferred.Master's Degree or PhD is highly preferred but not required.Strong experience with Extract, Load, Transform (ELT) patterns and modern data stack tools such as fivetran, dbt, Databricks (preferred), Snowflake, BigQuery is highly desirable. Experience with any data quality, data security and monitoring initiatives is preferred. Experience with orchestration tools like Airflow or similar is also preferred. ",Mid-Senior level,Staff Analytics and Data Engineer
+588,2025-03-28,San Francisco,California,Scale AI,https://scale.com,"At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 
+
+The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
+
+Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. ","The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.We are building a large hybrid human-machine system in service of ML pipelines for Federal Government customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.You will:Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers. Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines Work with massive datasets to develop both generic models as well as fine tune models for specific products Build the scalable ML platform to automate our ML service Be a representative for how to apply machine learning and related techniques throughout the engineering and product organizationBe able, and willing, to multi-task and learn new technologies quickly This role will require an active security clearance or the ability to obtain a security clearance.Ideally You’d Have:Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment Solid background in algorithms, data structures, and object-oriented programming Strong programing skills in Python or Javascript, experience in Tensorflow or PyTorch Nice to Haves:Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience with generative AI models Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$224,400—$293,250 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$201,960—$263,925 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.",Entry level,"Machine Learning Engineer, Public Sector"
+589,2025-04-09,Newark,CA,Intelliswift - An LTTS Company,https://www.intelliswift.com,"Intelliswift, an LTTS company, is a global leader in Digital Product Engineering, Data & AI, and Digital Enterprise Solutions. We empower businesses to leverage cutting-edge technologies and pioneering strategies throughout their digital transformation journey. Our expertise in data-rich modern platforms and people-centric solutions ensures that companies can navigate and thrive in the digital era. We address critical pain points across a diverse range of industries, including Platform & Technology, Fintech, MedTech, Energy & Utilities, Manufacturing, and Retail. Whether it's optimizing operational efficiency, enhancing customer experiences, or enabling digital transformation, we are committed to providing tailored solutions that meet the unique needs of each industry we serve.
+
+Guided by our core values of Transparency, Respect, Integrity, and Passion, we drive innovation and excellence at every step. As a certified Minority Business Enterprise (MBE), we are deeply committed to diversity, equity, and inclusion (DEI). This commitment is reflected in all our transactions and underscores our dedication to fostering an inclusive environment. Trusted by Fortune 500 companies, SMBs, ISVs, and fast-growing startups, Intelliswift is the partner of choice for organizations seeking to revolutionize and excel in the digital landscape.
+
+Learn more at www.intelliswift.com  
+","Title: Machine Learning EngineerLocation: Plano, TX Duration: : 6 Months of contract with possibility of extensionJob Overview:The client is seeking a Machine Learning Engineer with a strong background in software development (60%) and data science (40%), specifically to transform legacy SAS code into modern Python-based solutions using AWS SageMaker and Snowflake.  Must-Have Skills:Strong Python & SQL – Core programming skills for model development and pipeline building.SAS Experience – Ability to understand and convert legacy SAS code to Python.AWS SageMaker & Snowflake – Hands-on experience deploying ML models in cloud environments.Testing Strategies – Unit, integration, and end-to-end testing for ML pipelines.Software Development Practices – Version control (Git), CI/CD, infrastructure-as-code.  Nice-to-Have Skills:AWS Solutions Architect Associate certificationAPI frameworks (Flask, FastAPI)Background in quantitative fields (Stats, Math, CS, Engineering, etc.)Intelliswift is committed to fair and equitable compensation practices. The range provided for this position is determined by various factors including, but not limited to, relevant work experience, skills, certifications, and location. Intelliswift offers medical insurance, dental insurance, vision insurance, supplemental life and AD&D insurance, and any other benefits per state law. Equal Employment Opportunity StatementIntelliswift celebrates a diverse and inclusive workforce. We offer equal employment opportunities to all applicants and employees. All qualified applicants will be considered regardless of race, color, sex, gender identity, gender expressions, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other protected basis under the law. Americans with Disabilities Act (ADA)If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact Intelliswift Human Resources Department.Other Employment StatementsIntelliswift participates in the E-Verify program. Learn MoreFor information on Intelliswift Software, Inc., visit our website at www.intelliswift.com.",Mid-Senior level,Machine Learning Engineer
+590,2025-03-25,Indianapolis,Indiana,Brooksource,http://www.brooksource.com,"Here at Brooksource, relationships are at the center of everything we do. Since 2000, we have established and maintained lasting relationships with our clients, consultants, and internal employees to create an unparalleled experience. 
+
+Brooksource is a trusted provider of Engineering & Technology solutions for Fortune 500 organizations, specializing in Experience-Driven Staffing, Professional Services, and our innovative Workforce Transformation program, Elevate. Leveraging our partnerships with Salesforce, AWS, Microsoft, Google Cloud, and other leading technology alliances, we have the expertise and capabilities to deliver creative resourcing strategies. 
+
+In today’s evolving digital landscape, the convergence of Engineering & Technology is revolutionizing industries, reshaping our world. As organizations seek partners to navigate this transformative journey, we provide strategic guidance and tailored services that drive value and innovation. By collaborating closely with our customers, we identify opportunities to optimize technical investments, streamline operations, & enhance overall business performance.
+
+With our expanding national footprint, Brooksource is committed to setting new standards for Engineering & Technology service providers. We’re proud of our ongoing dedication to prioritizing relationships and enabling workforces for the future.
+
+Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.","Machine Learning EngineerAtlanta, GAThe Staff Machine Learning Engineer will join a product team to contribute to software and algorithm design, and the overall product lifecycle. This role involves daily collaboration, designing and implementing AI/ML algorithms, performance tuning, testing, and product monitoring. Responsibilities also include customer outreach, educational material design, and data engineering.Major Tasks, Responsibilities & Key Accountabilities:Delivery and Execution (45%): Collaborates with product team members to create secure, scalable machine learning solutions. Ensures user stories are developer-ready and testable. Configures commercial solutions to meet business needs. Creates dashboards, logging, alerting, and proactive issue responses.Learning (15%): Engages in learning activities around software design, machine learning, and development practices. Views articles, tutorials, and videos to learn new technologies. Attends conferences to apply new innovations.Strategy and Planning (20%): Researches business trends and data to identify improvement opportunities. Evaluates and recommends technology products and platforms. Designs infrastructure, network, database, security, and machine learning architectures. Creates and maintains monitoring tools. Participates in project planning and management.Support and Enablement (20%): Fields questions from product and support teams. Encourages collaboration across teams. Provides application support for software in production. Monitors production Service Level Objectives and reviews performance and capacity.Preferred Qualifications:Experience with algorithms (clustering, forecasting, anomaly detection, neural networks).Experience with statistics and regression algorithms.Advanced machine learning techniques (NLP, convolutional neural networks, autoencoders, embeddings).Training machine learning models with large datasets.Data Analysis and Machine Learning Tools (Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, TensorFlow, PyTorch).GPU acceleration (CUDA, cuDNN).Google Cloud Platform (Vertex AI, BigQueryML, AutoML).Effective data engineering practices and big data platforms (BigQuery, Data Store).Modern scripting language (Python preferred).Modern web application frameworks (Node.js).Front-end technology and frameworks (HTML, CSS, JavaScript, ReactJS, D3).SQL queries against relational databases.Version control systems (Git preferred).Linux or Unix-based environment.CI/CD toolchain.REST and web service design.Production systems design (High Availability, Disaster Recovery, Performance, Efficiency, Security).NoSQL databases.Cloud computing platforms and automation patterns.Defensive coding practices for high availability.A/B testing and scalable web services architecture.Advanced machine learning architectures (GANs, GRU, LSTMs, RNNs, CNNs, style transfer).",Mid-Senior level,Machine Learning Engineer
+591,2025-04-02,San Francisco,California,Candid Health,https://www.joincandidhealth.com,"Candid Health is building a modern medical payments platform that enables healthcare providers to focus on delivering high-quality, affordable and accessible care, rather than spending half their time figuring out how to get paid by insurance.","What You’ll Be DoingYou’ll contribute to Candid Health’s product development. You’ll ensure there is UX consistency across various pages/components within the Candid app. You’ll interact closely with our current and prospective customers, developing intuition around their biggest pain points and thinking of creative ways to address them. You’ll play a critical role in shaping our engineering and broader company culture and help make this the best place we’ve ever worked. You’ll ensure we’re using the most relevant front end libraries and tooling. You'll have opportunities to build tooling and improvements for front-end dev ops. You’ll be responsible for front end profiling and monitoring. Who You AreYou have Bachelors of Science or Bachelors of Arts/Sciences in Computer Science, Computer Engineering, Mathematics, or similar degree. You have 4+ years of experience in a Software Engineering position. You have experience with HTML, CSS, React, Typescript, and API development. You may have experience with server-side rendering, GraphQL, Tailwind, Firebase, and Codegen. You have great instincts around UX / Design. You take pride in your craft and enjoy building high-quality software but also believe that “done is better than perfect” and have good intuition around which corners are worth cutting and which aren’t. You have a learner’s mindset and value teaching others. You have a customer-first mindset. You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing. Pay TransparencyThe estimated starting annual salary range for this position is $135,000 to $230,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles.",Entry level,"Software Engineer, Front End"
+592,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOur team's mission is to empower content understanding in TikTok businesses. Computer vision and natural language processing are important dimensions in video content understanding. We are working on cutting-edge content understanding topics including weakly-supervised learning, few-shot classification, video tagging, multi-task learning, multi-lingual learning, multi-modality pretraining, etc. As a content understanding team on the business side, we try to succeed in both achieving business metric gains (recommendation metrics), and also producing state-of-the-art research outputs.Responsibilities Conducting development and research on cutting-edge CV, NLP, multi-modality and recommendation topics Following SoTA progress in relevant fields and transform the ideas into production Life-cycle model development, from model training, deployment, maintenance, till its use in business scenariosQualifications Experience in one of more areas of computer vision, natural language processing and machine learning Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow, MXNet, Caffe/Caffe2) Familiar with deep neural network architectures such as transformer/SSM/CNN/RNN/LSTM etc Strong analytical and problem solving skills Ability to work collaboratively in cross-functional teamsPreferred Qualifications: Degree in computer science, electrical engineering or related fields Authors with publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLRTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at gprd.accommodations@tiktok.com.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $126000 - $221760 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Content Understanding"
+593,2025-03-06,Houston,Texas,Attractivate Consulting Solutions,https://attractivate.com/,"Attractivate Consulting Solutions is a team of industry experts who understand the dynamic and critical role that technology has in driving business success. Specializing in IT Consulting, Staff Augmentation, Project Services, and Direct Hiring, our mission is to seamlessly integrate with your existing IT team.
+
+We believe in complementing your team's strengths by filling specific expertise or gaps with our deep pool of professionals. Whether you're looking to bolster cyber defense, enhance digital infrastructure, develop applications, implement AI features, support data engineering, or accelerate development projects, Attractivate can deliver specific expertise or cover critical gaps.
+
+With access to a nationwide network of experts, we provide precise solutions that align with your unique business needs. Our focus is on providing consulting and project services that help you solve challenges. We take the time to understand your latest talent needs, find qualified individuals to fill the seats or project requirements, and provide you with access to the right people for the job.
+
+Our approach is collaborative and transparent. We ensure that we act as a reliable extension of your team, contributing to your projects and goals with efficiency and expertise. Trust us to enhance IT capabilities and drive your business forward.","About Us: Attractivate is at the forefront of innovation, leveraging advanced technologies to drive business success. We are looking for a talented Machine Learning Engineer to join our team and help us build intelligent systems that enhance our products and services.Job Description:Responsibilities:Design, develop, and deploy machine learning models and algorithms to solve complex business problems.Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver scalable ML solutions.Implement and optimize data pipelines and ETL processes to support machine learning workflows.Conduct thorough data analysis and preprocessing to ensure high-quality input for model training.Evaluate and fine-tune models for performance, accuracy, and scalability.Integrate machine learning models into production systems and monitor their performance.Stay updated with the latest advancements in machine learning and AI and apply them to improve existing solutions.Document processes, models, and results to ensure reproducibility and knowledge sharing.Technical Skills:Proficiency in programming languages such as Python, R, and SQL.Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).Knowledge of deep learning techniques and neural networks.Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).Familiarity with data visualization tools (e.g., matplotlib, seaborn, Tableau).Understanding of software development best practices, including version control (e.g., Git) and CI/CD pipelines.Functional Skills:Excellent problem-solving and analytical skills.Strong communication and collaboration skills to work effectively with cross-functional teams.Ability to translate business requirements into technical specifications and ML solutions.Strong attention to detail and commitment to delivering high-quality results.Ability to work independently and manage multiple projects in a fast-paced environment.Qualifications:Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.5+ years of experience in machine learning or a related field, with a proven track record of deploying ML models in production.Relevant certifications in machine learning and AI are a plus.",Mid-Senior level,Machine Learning Engineer
+594,2025-03-24,London,England,Storm2,https://www.storm2.com,"Storm2 are the leaders in FinTech recruitment, connecting organisations with the talent to drive their mission. 
+
+Storm2 was launched in 2019 when we identified a need for specialist talent within a hyper growth sector. We have a unique understanding of our clients, having achieved over $11m in investment since launch, and scaling quickly across the US.
+
+We take a micro niche approach to FinTech recruitment, with each of our expert consultants solely operating in one of the key verticals needed to scale a FinTech: Engineering, DevOps, Commercial, Risk, Compliance, Product Management, Finance & Operations. This means that each of our consultants has the richest network of FinTech professionals in the market.
+
+We are the leading provider of FinTech-focused information to clients for market compensation and best practice in diversity, hiring and retention.
+
+Our mission is to be the recruitment arm of the FinTech industry, connecting the very best senior FinTech talent with innovative businesses worldwide. 
+
+Storm2 is a trading division of Levin.","Job Title: Machine Learning Engineer Location: Remote Employment Type: Full-time Reports to: CTOWe are looking for an experienced and highly motivated Machine Learning Engineer to join our clients team. They are a fast-growing, well-funded startup developing AI-powered tools for financial professionals. About the Role: As a Machine Learning Engineer, you will:Design, develop, and maintain machine learning systems, including generative AI, speech recognition, and language modeling workflows.Collaborate with other developers to integrate these models into production environments.Develop and maintain unique data sets for both internal and external use.Stay up to date with industry advancements and explore new model innovations.About You: We’re looking for engineers who align with our startup culture and share our core values:Driven by curiosity and a passion for delivering meaningful value to customers.Committed to building high-quality tools and paying attention to every detail.Dedicated to writing clean, maintainable code that empowers the team.Thrive in a collaborative environment with minimal bureaucracy.Adaptable, comfortable with taking on different roles and learning new technologies.Understand that working at a startup sometimes requires flexibility in hours and responsibilities.Prioritize initiative and getting things done over rigid processes.We believe the best communicators are those who teach with empathy, align teams, and drive them to accomplish more quickly. If you are excited by the opportunity to join a mission-driven team, help build something transformative, and position yourself within a leading company, we’d love to connect.Highlighted Benefits:Fully remoteCompetitive salary100% company-covered medical, dental, and vision insuranceWell-funded Health Savings Account (HSA)401k and equity planFlexible work environment focused on results, not hoursUnlimited PTO (for real)You’ll thrive here if you:Have 3+ years of experience in data science or machine learning.Are proficient in tools and practices for industry-standard generative AI systems.Have strong knowledge of relational databases like Postgres and MySQL.Have excellent communication and collaboration skills.Are excited by the challenges and opportunities of working in a startup.",Director,Machine Learning Engineer
+595,2025-04-09,Seattle,WA,Tableau,http://www.tableau.com,"Tableau helps people see, understand, and act on data.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.We're seeking exceptional Machine Learning Engineers to advance Agentforce's agent capabilities. In this role, you'll develop fully-autonomous agents with planning, reasoning, and verifiable action execution, while enabling tool use, computer use, and code execution at scale, developing memory architecture, and multi-agent interactions. You'll drive innovation at the intersection of research, incubation and product. By creating state-of-the-art solutions, you'll transform how organizations leverage AI in their workflows, applying your expertise to solve real enterprise challenges and shape the future of AI technology.ResponsibilitiesAgentic AI System Backend/Frontend Development:Develop agentic system infrastructure and components, including planning and reasoning engines, tool use, computer use and code execution environments, memory architecture, multi-agent orchestration layer, human-agent interaction, etc.Design, implement, and tune robust APIs and API framework-related features.Create visualization interfaces for system demonstration and rapid development iteration.Prompt Engineering and Optimization:Design and experiment with creative prompts to optimize the performance of LLMs for specific use cases, ensuring accuracy, relevance, and efficiency. Implement techniques like few-shot learning, chain-of-thought prompting, and context tuning to enhance LLM outcomes for AI agents.AI Model Development, Evaluation and Deployment:Finetune AI model for agentic use case.Develop metrics and tools to evaluate model performance, reliability, and trust.Deploy LLM models into production systems, ensuring scalability, security, and efficiency.Collaboration and Research:As a machine learning engineer from the AI research team, you collaborate with researchers, product managers, engineers, and designers to identify and implement AI-driven solutions for internal incubators. Stay at the forefront of LLM research and emerging technologies to recommend and integrate advancements into Salesforce’s AI strategy.Educational Background:Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.Technical Skills:Strong expertise in LLMs/MLMs (e.g., GPT, Gemini, Claude, Llama, Mistral, Qwen, Deepseek, etc.) and prompt engineering techniques.High proficiency in Python programming language. Experience in Java is a plus.Preferred QualificationsExperience in developing complex agentic systems using LLMs.Experience in REST-based API development, API lifecycle management and/or client SDKs development.Experience in frontend development for system demonstration, such as using tools like Streamlit, Chainlit, etc.Experience with large-scale reinforcement learning techniques.Proficiency in popular Deep Learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).Prior experience in building AI solutions for enterprise software or SaaS platforms.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $172,000 to $236,500.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Not Applicable,"Senior Machine Learning Engineer, AI Research"
+596,2025-03-25,San Francisco,California,Nextdoor,https://nextdoor.com,"Nextdoor is where you connect to the neighborhoods that matter to you so you can thrive. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services.
+
+We believe connecting with others is a universal human need. That truth, and the reality that neighborhoods are among the most important communities in our lives, have been guiding principles for Nextdoor since the beginning.
+
+Today, neighbors rely on Nextdoor in more than 340,000 neighborhoods across 11 countries. In the U.S., 1 in 3 households uses the network.
+
+Nextdoor is based in San Francisco. For additional information and images: nextdoor.com/newsroom.
+
+Nextdoor is free, and it's easy to sign up. Get started at https://nextdoor.com.
+
+For media inquiries, email us at press@nextdoor.com.
+
+For customer support, reach us at http://nextdoor.com/support.","#TeamNextdoorNextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.Meet Your Future NeighborsAt Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including our newsfeed, our notifications, and our ads relevance. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live.At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees.The Impact You’ll MakeYou will be part of a scrappy and impactful team building data-intensive products, working with data and features. You will help build the foundational Machine Learning (ML) infrastructure that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform. You should be comfortable with petabytes of data, writing crisp design documentation, and building, debugging, and maintaining highly available distributed systems. The Machine Learning platform that you build will empower developers throughout Nextdoor to build better ML products more quickly than ever before.Your Responsibilities Will IncludeYou will design, implement and integrate the next generation of Machine Learning infrastructure to empower our Data Scientists and Machine Learning engineers to build machine learning (ML) models that make real-time decisions for the Nextdoor platformYou will collaborate with other engineers and data scientists to create optimal experiences on the Core ML platform, including but not limited to: the featurestore, the real-time serving layer and the offline training systemWhat You’ll Bring To The TeamMaster / Ph.D. in Computer Science, Applied Math, Statistics, Engineering or a related field3+ years of industry experience of applying machine learning at scale3+ years of experience in building performant and scalable backend servicesExperience with Python, Kubernetes, Go, Kafka, Docker, Spark, SQL, AWS and the Unix environmentExperience with machine learning libraries and frameworks like Xgboost, Sklearn, TensorFlow, PyTorch, etcA deep empathy for customer needs and insights as well as an intuitive grasp of the business problems we’re trying to solveExtensive experience in one or more of the following languages: Python, Go, Java, or ScalaExperience in designing, building, and debugging distributed systemsProven engineering skills. Experience of writing and maintaining high-quality production codeA strong ability to partner with other data engineers throughout the company, and consult, design, and review their projectsStrong collaboration and communication skills, both verbal and writtenAbility to succeed in a dynamic startup environmentRewardsCompensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography.The starting salary for this role is expected to range from $205,000 to $336,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.We expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date will take place within 3 months of your start date.When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.",Mid-Senior level,Machine Learning Engineer - Infrastructure
+597,2025-04-09,Seattle,WA,Tableau,http://www.tableau.com,"Tableau helps people see, understand, and act on data.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.We're seeking exceptional Machine Learning Engineers to advance Agentforce's agent capabilities. In this role, you'll develop fully-autonomous agents with planning, reasoning, and verifiable action execution, while enabling tool use, computer use, and code execution at scale, developing memory architecture, and multi-agent interactions. You'll drive innovation at the intersection of research, incubation and product. By creating state-of-the-art solutions, you'll transform how organizations leverage AI in their workflows, applying your expertise to solve real enterprise challenges and shape the future of AI technology.ResponsibilitiesAgentic AI System Backend/Frontend Development:Develop agentic system infrastructure and components, including planning and reasoning engines, tool use, computer use and code execution environments, memory architecture, multi-agent orchestration layer, human-agent interaction, etc.Design, implement, and tune robust APIs and API framework-related features.Create visualization interfaces for system demonstration and rapid development iteration.Prompt Engineering and Optimization:Design and experiment with creative prompts to optimize the performance of LLMs for specific use cases, ensuring accuracy, relevance, and efficiency. Implement techniques like few-shot learning, chain-of-thought prompting, and context tuning to enhance LLM outcomes for AI agents.AI Model Development, Evaluation and Deployment:Finetune AI model for agentic use case.Develop metrics and tools to evaluate model performance, reliability, and trust.Deploy LLM models into production systems, ensuring scalability, security, and efficiency.Collaboration and Research:As a machine learning engineer from the AI research team, you collaborate with researchers, product managers, engineers, and designers to identify and implement AI-driven solutions for internal incubators. Stay at the forefront of LLM research and emerging technologies to recommend and integrate advancements into Salesforce’s AI strategy.Educational Background:Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.Technical Skills:Strong expertise in LLMs/MLMs (e.g., GPT, Gemini, Claude, Llama, Mistral, Qwen, Deepseek, etc.) and prompt engineering techniques.High proficiency in Python programming language. Experience in Java is a plus.Preferred QualificationsExperience in developing complex agentic systems using LLMs.Experience in REST-based API development, API lifecycle management and/or client SDKs development.Experience in frontend development for system demonstration, such as using tools like Streamlit, Chainlit, etc.Experience with large-scale reinforcement learning techniques.Proficiency in popular Deep Learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).Prior experience in building AI solutions for enterprise software or SaaS platforms.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $172,000 to $236,500.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Not Applicable,"Senior Machine Learning Engineer, AI Research"
+598,2025-01-15,Monmouth Junction,NJ,First Soft Solutions LLC,http://www.firstsoftsolutions.net,"When you hire First Soft Solutions, you're hiring a strategic technology consulting partner committed to helping you meet your unique business and technology objectives on time, on budget and with an optimal experience. We apply the expertise of our global community of technology experts, an unmatched portfolio of proven solutions, flexible delivery and a laser focus on the Microsoft enterprise platform to help you increase revenue, reduce costs and reinvest in innovation for competitive advantage. And we bring unique connections with our clients and Microsoft, enhancing our ability to deliver effective mission-critical solutions for organizations across all industries. When selecting an First Soft Solutions solution, you'll receive the best of our thinking and experience. Based on engineered, tested and reusable technology assets, our solutions are proven to help customers streamline operations, create new products and services, optimize collaboration across all groups and boundaries, and serve their customers better.","We are actively hiring for Senior Machine Learning EngineerFull TimeExperience: 8+ yearsMust-Have SkillsMinimum of 8 years of experience in machine learning and deep learning (Python, scikit-learn, XGBoost).Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras.Hands-on experience in Natural Language Processing (NLP).Proficiency in software development practices, including Git, PEP-8 standards, and Python advanced programming techniques.",Mid-Senior level,Machine Learning Engineer
+599,2025-03-20,Indianapolis,Indiana,Brooksource,http://www.brooksource.com,"Here at Brooksource, relationships are at the center of everything we do. Since 2000, we have established and maintained lasting relationships with our clients, consultants, and internal employees to create an unparalleled experience. 
+
+Brooksource is a trusted provider of Engineering & Technology solutions for Fortune 500 organizations, specializing in Experience-Driven Staffing, Professional Services, and our innovative Workforce Transformation program, Elevate. Leveraging our partnerships with Salesforce, AWS, Microsoft, Google Cloud, and other leading technology alliances, we have the expertise and capabilities to deliver creative resourcing strategies. 
+
+In today’s evolving digital landscape, the convergence of Engineering & Technology is revolutionizing industries, reshaping our world. As organizations seek partners to navigate this transformative journey, we provide strategic guidance and tailored services that drive value and innovation. By collaborating closely with our customers, we identify opportunities to optimize technical investments, streamline operations, & enhance overall business performance.
+
+With our expanding national footprint, Brooksource is committed to setting new standards for Engineering & Technology service providers. We’re proud of our ongoing dedication to prioritizing relationships and enabling workforces for the future.
+
+Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.","AI/ML EngineerLong-term ContractOverviewOur Fortune 50 Healthcare Insurance client is seeking a highly skilled AI/ML Engineering resource to play a pivotal role in the development, expansion, operation, and maintenance of generative AI solutions. The primary responsibilities include running an experimental framework to determine the optimal prompt engineering approaches, tuning prompts, and collaborating with subject matter experts (SMEs) for evaluations and results. This role requires a deep understanding of evaluating models output in production, particularly when ground metrics are absent, monitoring for issues such as model drift and hallucinations, and optimizing for offline and online metrics. Key ResponsibilitiesScope, develop, expand, operate, and maintain scalable, reliable and safe generative AI solutions.Design and execute prompt engineering experiments to optimize Large Language Models (LLMs) for various use cases.Collaborate with SMEs to evaluate prompt effectiveness and align AI solutions with business needs.Understand and apply offline and online evaluation metrics for LLMs, ensuring continuous model improvements.Evaluate production models using live data in the absence of ground metrics, implementing robust monitoring systems.Monitor LLM applications for model drift, hallucinations, and performance degradation.Ensure smooth integration of LLMs into existing workflows, providing real-time insights and predictive analytics. QualificationsSolid experience in business analytics, data science, software development, and data engineering.Expertise in Python and frameworks such as PyTorch, TensorFlow, or ONNX.Hands-on experience working with LLMs and Generative AI, including model development and inference patterns.Proven ability to design scalable systems leveraging LLMs, particularly in distributed computing environments. Required SkillsExperience in prompt engineering and prompt optimization.Expertise in running experiments to evaluate generative AI performance.Knowledge of production-level monitoring tools for ML models, including drift detection and mitigation strategies.Excellent problem-solving skills and ability to work cross-functionally with data scientists, engineers, and SMEs.Experience with safety, security and responsible use of AI.Experience with red-teaming (adversarial testing) of generative AI.Experience with developing AI applications with sensitive data such as PHI, PII and highly confidential data.",Mid-Senior level,Machine Learning Engineer
+600,2025-03-31,Annapolis,Maryland,Eastport Analytics,http://www.eastportanalytics.com,"Since 1999, Eastport Analytics has been helping clients in Justice, Treasury, and related Federal departments harness analytics to drive compliance and enforcement outcomes. Our mission-driven innovation approach involves close collaboration with clients’ analysts in agile 30-90 day “mission trials,” aimed at delivering actionable insights to measurable mission effect, while operationally vetting & validating technology, data, and analytic methodologies.  We measure success by clients’ operational yardsticks - billions of dollars in recovered tax revenue, double-digit gains in compliance rates, hundreds of cases successfully prosecuted, terrorist and criminal activities measurably curtailed.
+
+Think you might have what it takes to join our crew?  Visit our website for job openings or contact hr@eastportanalytics.com","Eastport Analytics has an opportunity for a full time mid level Data Scientist with strong SQL & Python experience. As a Data Scientist, you will be performing data manipulation, data analysis, and data wrangling/ETL. You will be using statistical software and other exploratory data analysis (EDA) tools/techniques to inform senior leadership decision-making. You will be responsible for building, maintaining, executing, and documenting SQL models to ensure data is managed efficiently and effectively for our client. This role includes developing and implementing databases and data collection systems, acquiring data from primary and secondary sources, maintaining data ingest processes and identifying/analyzing/interpreting trends or patterns in complex datasets.At Eastport Analytics, our data subject matter experts, technologists, and domain/industry specialists work directly with financial investigators, auditors, and analysts to gain better insights out of existing structured/unstructured data and IT systems. These teams drive innovation that allows their clients to modernize their data strategy, understand and improve their data management, automate, and optimize their business and technological procedures, and build insights through modeling, reporting, and generalized data analytics. We measure success by our client’s mission accomplishments, be it higher compliance, improved asset recovery, or enhanced law/tax enforcement.Who You AreBachelors degree in quantitative field such as applied math, advanced or applied statistics, computer engineering, computer science, and econometrics.Four plus years of demonstrated experience in a corporate environment with SQL (i.e., ETL data and performing analytics) including the ability to build, maintain, understand, and modify complex SQL code.Advanced Python, SQL, and advanced Excel skills. Experience with data definition, data manipulation, and data wrangling using one or more relational databases including SQL Relational Database Management (RDMS).Experience with ETL and EDA processes, data mapping/processing/management.Experience with descriptive statistics and inferences to understand relationships between fields. Experience communicating with both technical and non-technical stakeholders, collaborating with cross-functional teams, and delivering projects through a variety of mediums (i.e., demonstrations, briefings, slide decks, etc.).Visualization skills-ability to visualize the data and use storytelling using advanced dashboarding skills to convey deep technical information to non-technical and/or domain users.Experience using Python libraries - Pandas, NumPy, Matplotlib.Ability to synthesize and summarize analytical project results that address client problems to client stakeholders.Demonstrated ability to work in a collaborative environment with strong organizational skills, attention to detail and the ability to work simultaneously on various projects with strict deadlines.Remote or hybrid options are available. Must be willing to collaborate during East Coast core work hours M-F 9 AM to 5 PM Eastern time. Must be interested in joining quarterly corporate All Hands meetings in the DC area. Must be able to successfully pass a background investigation to obtain and maintain a public trust clearance. The clearance requirements are US Citizenship. As An Ideal Candidate, You Will HaveActive Treasury Public Trust Clearance is highly preferred. In addition to Bachelors degree, a rigorous data science boot camp or Masters degree in quantitative related field such as statistical analysis or advanced statistics.MD, VA, DC local candidates are preferred.Experience with government contracting (Treasury) and/or federal financial regulatory environment highly preferred. R/SAS, Plotly, NoSQL and graph analytics, PyTorch, TensorFlow, Scikit, sidekick, NLP machine learning.Experience/understanding of regression modeling.Do you value making a measurable impact on the client’s critical mission? Do you thrive in a work environment that emphasizes and fosters collaboration, creativity, intellectual curiosity, innovation, flexibility, and professionalism? Eastport Analytics is an established, small, thriving MD based company offering a work-life balanced culture with full benefits and a competitive compensation package. This is a full-time salaried W-2 opportunity. The estimated base salary for this position is $85,000 to $148,000 (annualized USD). This full range is based on market data. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. Check us out at www.EastportAnalytics.com. Come join our team!In addition to a competitive salary, we offer a full benefits package including full medical, dental, and vision health insurance, life, short and long-term disability, 401k program, flexible spending account, radical flex time and a generous robust leave program, discretionary performance-based bonus program, professional development opportunities, employee assistance program, fun corporate events, and a work-life balance culture.Eastport Analytics is an Equal Opportunity Employer and committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, hair texture or protected hairstyle, veteran status, or genetic information. Eastport Analytics, Inc. is also committed to providing equal opportunity and access to individuals with disabilities by ensuring reasonable accommodations are provided to participants in the job application or interview process. To request a reasonable accommodation, contact hr@eastportanalytics.com.",Mid-Senior level,Data Scientist
+601,2025-04-03,New York,NY,Accrete,http://www.accrete.ai,"Accrete empowers government and business organizations to encode the tacit domain knowledge, judgement, and values of their best people into Expert AI Agents that they can trust to make complex, split-second decisions that drive exponential efficiency and growth.","Accrete is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology.At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiencyWe are looking for a talented Machine Learning Engineer to join our team and contribute to the evolution of our AI platform.Responsibilities:Design, develop, and optimize machine learning models and pipelines for deployment in production environments.Build scalable and efficient ML infrastructure to support data ingestion, model training, evaluation, and deployment.Collaborate with data scientists, engineers, and product teams to integrate ML solutions into Accrete’s platform.Implement best practices for model performance monitoring, versioning, and retraining.Work with cloud-based platforms and distributed computing frameworks to improve system efficiency.Optimize feature engineering, data preprocessing, and training workflows to improve model accuracy and efficiency.Ensure adherence to MLOps principles, including automation, CI/CD for ML, and reproducibility.Qualifications:Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field.3+ years of experience in designing and deploying machine learning models in production.Strong programming skills in Python and proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).Proficiency in distributed computing frameworks like Spark, Ray, or Dask.Experience with MLOps tools and techniques, including CI/CD for ML, model versioning, and monitoring.Familiarity with large-scale data processing, data engineering principles, and feature stores.Strong problem-solving skills, a proactive mindset, and the ability to work in a fast-paced, collaborative environment.Preferred Qualifications:Experience with reinforcement learning, NLP, or deep learning applications.Knowledge of graph-based ML, generative AI, or other advanced ML techniques.Exposure to edge AI and model optimization techniques (e.g., quantization, pruning).Contributions to open-source ML projects or publications in AI conferences.Salary Range: 140k-180kThe salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements.Cultural Fit & ValuesAt Accrete, success goes beyond technical expertise—we value innovation, collaboration, and accountability. Our team members embody:Ownership & Accountability – Drive projects to completion with high standards and proactive problem-solving.Transparency & Communication – Share information openly, give and receive constructive feedback.Strategic Thinking & Problem-Solving – Analyze challenges critically and implement effective solutions.Collaboration & Professionalism – Work as a team, contribute meaningfully, and uphold mutual respect.Passion for AI & Innovation – Stay curious, continuously learn, and push AI’s potential.Going Beyond the Job Description – Seek opportunities to contribute beyond core responsibilities.These principles shape our culture, performance evaluations, and growth opportunities, ensuring we build a mission-driven organization together.Company BenefitsCompetitive Salary: Aligned with experience and market standards.Comprehensive Insurance: Health, dental, and vision coverage to keep you and your family secure.401(k) Plan: Build your financial future with our retirement savings plan.Flexible PTO & Hybrid Work: Take time off when you need it and enjoy remote flexibility per company guidelines.Growth & Development: Access professional development, learning opportunities, and career advancement support.Onsite Perks: Enjoy catered lunches, snacks, and a stocked kitchen.Team Bonding: Company-sponsored happy hours and social events to connect and unwind.",Associate,Machine Learning Engineer
+602,2025-03-31,Ellicott City,Maryland,"Independent Software, Inc.",https://independentsoftware.com,"Independent Software supports our customers by providing next-generation cyber services, intelligence and all-source analytics, machine learning, and mission application development. In addition to our service-based efforts, we also offer innovative IT and cyber products to solve our customers’ most complex challenges. We are a Woman-Owned Small Business committed to hiring veterans and supporting our national defense missions.
+
+We are driven to perform for our clients, protect our professional staff, and improve shareholder value. Employee and client satisfaction are key metrics for our corporate management team. Maintaining positive relationships with all our industry partners has delivered impressive business results. Our Mission and Vision statements speak to these values.
+
+Mission Statement:
+Independent Software is dedicated to ensuring national security and supporting our customers through quality intelligence products and highly skilled personnel that enable a diverse set of federal and commercial missions. A large percentage of our employees are veterans, so we understand the importance of providing timely, effective, and actionable intelligence and tools to the warfighter. Our personnel have embodied our focused, mission-first approach to supporting national security missions in dynamic environments since 2005.
+
+Independent Software is built on five core values which, when taken together, guide us to continuously maintain our focus and achieve our vision - 1) Customer Success, 2) Employee Success, 3) Technical Excellence, 4) Fiscal Responsibility, and 5) Social Awareness.
+
+We engage our core competencies to meet customer mission challenges in - 1) Enterprise Software Engineering, 2) Offensive and Defensive Cyber Services, 3) Data Science and Decision-Making Analytics, and 4) All-Source Analytics.
+
+Join Our Team
+https://independentsoftware.com/careers/
+
+Like us on Facebook: www.facebook.com/independentsoftwareinc
+Follow us on Twitter: @IndependentSoft","What you will be doing!As a Data Scientist, Level 2, your role is pivotal. Your Python expertise and experience in automating workflows, data manipulation, and visualization using Jupyter Notebooks will be crucial in our data-driven decision-making processes. You will be instrumental in streamlining processes and creating insightful visualizations.Job Description / RequirementsEmploy some combination (2 or more) of the following skill areas:Foundations: Mathematical, Computational, Statistical Data Processing: Data management and curation, data description and visualization, workflow and reproducibility Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration. Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Education and Experience: Bachelor’s Degree with 10 years of relevant experienceAssociates degree with 12 years of relevant experienceBachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming,, data structures, data mining, artificial intelligence). College-level requirements or upper-level math courses designated as elementary or basic do not count. A broader range of degrees will be considered if they are accompanied by a Certificate in Data Science from an accredited college or university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Clearance Required: Must possess an active TS/SCI with Full Scope Polygraph security clearance to be considered for this role Independent Software is an Equal Opportunity Employer EOE, M/F/D/V.",Mid-Senior level,"Data Scientist, Level 2"
+603,2025-04-09,Mountain View,CA,Google,https://goo.gle/3DLEokh,"A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
+
+Check out our career opportunities at goo.gle/3DLEokh","The application window will be open until at least April 9, 2025. This opportunity will remain online based on business needs which may be before or after specified date.During the application process, you will be able to indicate any additional preferred working locations. We encourage all qualified individuals to apply, and we will consider your skills and interests for other open positions across our available locations.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Palo Alto, CA, USA; San Bruno, CA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.Minimum qualifications:Bachelor's degree or equivalent practical experience.1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript) in an industry setting.Experience working with one or more of the following: Web or Mobile Application Development, Unix/Linux environments, Distributed and Parallel Systems, Machine Learning or AI, Information Retrieval, Natural Language Processing, Networking, Developing Software Systems, or Security Software Development.Preferred qualifications:Master's degree in Computer Science or a related technical field.Experience developing accessible technologies.Experience with machine learning algorithms and tools, Basics of Machine Learning, Generative AI, Recommendations/Ranking/Predictions, Natural Language Processing, Speech Audio, Machine Learning Infrastructure, Reinforcement Learning, and Computer Vision.Experience developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.About The JobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Cloud to Google Ads, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.The US base salary range for this full-time position is $118,000-$170,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .ResponsibilitiesDesign, develop, test, deploy, maintain, and improve software.Manage project priorities, deadlines, and deliverables.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .",Entry level,"Software Engineer II, Early Career"
+604,2025-04-07,London,Greater London,Signify Technology,http://www.signifytechnology.com,"We aim to build exceptional teams in the tech space, focusing on two core engineering specialisms: Advanced Software Engineering and AI, ML, & Data Engineering.
+ 
+As a multi-award-winning global staffing specialist, we're passionate about connecting talented individuals with some of the world's top companies. Starting out as the leading niche recruitment experts in Scala eight years ago, we've expanded our expertise to support clients and candidates in building exceptional tech teams across a wider range of specializations.
+
+From our offices in LA, Austin, and London, we offer both permanent and contract technology staffing solutions and are dedicated to nurturing the tech community. We share knowledge through blogs and podcasts, organize meetups, sponsor events, and offer some of the coolest jobs on the market.
+
+We are a minority-owned business certified by MSDUK and our mission is to diversify and evolve the tech space. We support our clients in their DEI (Diversity, Equity, and Inclusion) journeys and are committed to transforming the industry by providing opportunities to individuals from underrepresented backgrounds. Our dedication to DEI is reflected in our values and we believe that the strength of a company lies in the diversity of its people.
+
+
+‘No. 11 on London's Best Small Companies To Work For’
+‘No. 15 on Recruitment's Best Companies To Work For’
+‘No. 31 on The UK's 100 Best Small Company To Work For’
+‘Best Recruitment Company to Work For (£5M - £50M) – Tiara Recruitment Awards’ 
+‘Recruiter Hot 100 - Ranking #49’ 
+‘The Sonovate Client Service Award - Tiara Recruitment Awards’
+‘APSCo Embrace award 2023’ 
+'Certified as a Great Place to Work UK 2023'
+'Best Tech Recruiter - Global Business Tech Awards 2023'
+'Ryan Adams - Leader of the Year - British Recruitment Awards 2022'
+
+Accredited by APSCo, the regulatory body for the Recruitment industry.","Job Title: Senior Machine Learning EngineerSalary: $240,000 - $300,000Location: San Francisco, CA (Hybrid 2 days onsite)A well-funded SaaS startup in the AI infrastructure space is hiring a Machine Learning Engineer to optimize and scale their GPU systems for advanced model training and inference. This company builds high-performance SaaS AI tools used by millions of users and integrated into major consumer platforms. In this role, you’ll manage interconnected GPU clusters—such as H100s across 300+ nodes—while improving performance through MFU optimization, memory tuning, and distributed training strategies. You’ll be hands-on with both large-scale training and smaller clusters used for inference, requiring deep hardware-level expertise. The ideal candidate has a strong HPC background, understands memory hierarchies, caches, and interconnects, and thrives in a fast-moving startup environment.Requirements:Experience managing and scaling large GPU clustersStrong foundation in high-performance computing and ML infrastructureUnderstanding of GPU internals including memory, cache, processors, and interconnectsFamiliarity with MFU optimization techniques and efficient GPU utilizationHands-on experience with distributed training systems and frameworksAbility to work cross-functionally with infrastructure, research, and product teamsPassion for building foundational AI systems in a high-growth startupBenefits:Medical, Dental, and Vision Insurance401kPaid Time OffEquityStartup work cultureFree LunchesRemote or Hybrid flexibility for SF localsIf you are interested in learning more about this position or any other roles we may have open, please apply today!Accessibility Statement:Read and apply for this role in the way that works for you by usingour Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.We make an active choice to be inclusive towards everyone every day.Please let us know if you require any accessibility adjustments through the application or interview process.Our Commitment to Diversity, Equity, and Inclusion:Signify’s mission is to empower every person, regardless of their backgroundor circumstances, with an equitable chance to achieve the careersthey deserve. Building a diverse future, one placement at a time.",Mid-Senior level,Machine Learning Engineer
+605,2025-04-05,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.Job Responsibilities Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, etc. Build machine learning solutions and algorithm strategies by the analysis and mining of a large number of user query to empower the merchant side and improve the overall matching ability of the platform Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological developmentQualificationsMinimum Qualifications Proficient in at least one programming language: c++, python, shell, and other programming skills, with a solid programming foundation and good programming style Experience in algorithm development, familiar with the application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet), familiar with commonly used deep learning algorithmsPreferred Qualifications Able to solve problems independently, good sense of teamwork and communication skills; Experience in search engines, recommendation systems, and computational advertising-related fields is preferred.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - Search Engine - E-Commerce Alliance
+606,2025-04-02,Plantation,Florida,Chewy,http://careers.chewy.com,"At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. 
+
+We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
+
+We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
+
+At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
+
+Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
+
+We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
+
+We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.","Our OpportunityWe are seeking a talented and passionate Machine Learning Engineer II to join our growing team. In this role, you will play a crucial part in building and deploying machine learning solutions that empower our Chewy Customer Care teams. As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning lifecycle, from data preparation and model development to deployment and monitoring. You will have the opportunity to work on diverse projects and contribute directly to the success of the company.What You'll DoDesign and implement robust data pipelines for efficient data ingestion, processing, and feature engineering.Ensure data quality and consistency for model training and inference.Work with large datasets and apply data scaling techniques.Select and build appropriate machine learning models based on business requirements and data characteristics.Train and evaluate models using various techniques and metrics.Fine-tune models to achieve optimal performance and efficiency.Deploy machine learning models to production environments, ensuring scalability, reliability, and maintainability.Implement monitoring and alerting systems to track model performance and identify potential issues.Optimize models for inference speed and resource utilization.Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions.Effectively communicate technical concepts and findings to both technical and non-technical audiences.What You'll NeedBachelor's degree in Computer Science, Machine Learning, or a related field.3+ years of experience as a Machine Learning Engineer or in a similar role.Strong programming skills in Python or another relevant language.Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).Experience with SQL and relational databases.Nice To HaveFamiliarity with big data technologies (e.g., Spark, Iceberg, dbt).Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift).Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly).Knowledge of retail and e-commerce.Solid understanding of machine learning algorithms and best practices.Experience with cloud computing platforms (e.g., AWS, Azure, GCP).Excellent communication and presentation skills.Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.If you have a question regarding your application, please contact HR@chewy.com.To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.",Mid-Senior level,Machine Learning Engineer II
+607,2025-04-09,SHERIDAN ,WY ,Aarna Software and Solutions LLC,https://www.aarnasoftware.com/ ,"Prospering in the industry for more than 10 years, Aarna Software and Solutions (ASAS) is the leading IT-staffing firm serving fortune 500 and 1000 companies. We, at ASAS, provide the best staffing and technology solution services to companies across the globe. Hiring top talents and helping them lead the best path to achieve their career goals is our topmost priority. Our cost-effective staffing and technology solution services have proved to be fruitful with time. Fast and affordable recruitment of the top talents is the reason why we are among the best recruitment services firms in United States. ASAS is a fast-growing, end-to-end IT-staffing services and solutions provider with clients in Financial Services, Technology, Communications & Media, Manufacturing & Retail, Energy and Utilities, and a variety of other industries. We provide clients with highly responsive and innovative solutions that help them integrate their IT strategy with their business goals and handle today's most pressing IT requirements. ASAS is a one-stop solution for all your staffing and recruitment requirements.","1 to 3 years of experience in machine learning and computer vision, with a proven track record in image processing and analysisProven hands-on experience in Python programmingProficient in programming languages relevant to AI/Client development ( TensorFlow, PyTorch)Strong proficiency in machine learning concepts and practical applicationFamiliarity with data analytics packages including pandas, NumPy, and scikit-learnIntermediate knowledge in statistics for data analysis and interpretationAbility to create insightful and visually appealing graphs using tools like Matplotlib or SeabornCollaborative mindset with excellent communication skills to work effectively in a teamhas context menuResponsibilitiesdevelopment and optimization of Computer Vision algorithms and Client modelsContinuously refine Client models to improve accuracyCollaborate with cross-functional teams to integrate AI/Client features into the applicationDevelop and maintain Python-based applications, leveraging expertise in Python programmingImplement and optimize machine learning models for data analysis and insights generationUtilize data analytics packages such as pandas, NumPy, and scikit-learn for efficient data manipulation and processingWork collaboratively with cross-functional teams to understand business requirements and translate them into technical solutionsApply intermediate knowledge in statistics to analyze and interpret complex datasetsCreate visually appealing graphs and visualizations to communicate findings",Entry level,Machine Learning Engineer
+608,2025-03-25,Santa Clara,California,Plus,https://www.plus.ai,"Plus is a global AI-first autonomous trucking software company delivering safe autonomous trucks at scale. Headquartered in Silicon Valley with operations in the United States and Europe, Plus is named by Fast Company as one of the World's Most Innovative Companies. 
+
+Partners including Bosch, DSV, Hyundai Motor Company, Iveco Group, and Scania/MAN/International of the TRATON GROUP are working with Plus to accelerate the deployment of next-generation factory-built autonomous trucks. ","As an ML Infrastructure & data engineer Intern on our team, you’ll play a critical role in building and optimizing our data engine platform, which is the backbone of our autonomous driving technologies. Your contributions will directly impact the reliability, scalability, and performance of our AI systems by designing robust ML infrastructure, refining data pipelines, and enabling efficient workflows.Responsibilities:Design and implement LLM/VLM-driven autolabeling systems to optimize data annotation workflows and reduce manual effort. Architect and implement scalable training data pipelines for diverse deep learning models (eg., perception, planning). Develop version-controlled datasets with efficient storage and retrieval mechanisms to ensure data integrity and accessibility. Create visualization and analysis tools to monitor model performance and dataset quality. Develop automation for continuous integration and deployment of updated models, ensuring streamlined updates and reliability. Required Skills:Pursuing M.S or PhD in Computer Science, Mathematics, AI/ML, or related field. 1+ years of hands-on experience in machine learning (e.g., deep learning, NLP) or infrastructure engineering. Proficiency in Python, with strong experience in pandas, NumPy, and SQL (writing efficient queries). Preferred Skills:Experience with ML frameworks (e.g., PyTorch) and infrastructure tools (CI/CD, cloud platforms). Knowledge of data engineering best practices (e.g., ETL, data versioning, metadata management) and containerization tools (Docker, Kubernetes). $19 - $65 an hourOur internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.",Internship,Software Engineer Intern - Machine Learning Infrastructure & Data
+609,2025-04-02,Burlingame,California,Genesis Therapeutics,http://www.genesistherapeutics.ai,"Genesis Therapeutics – headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego – is unifying AI and biotechnology to discover novel and breakthrough treatments for patients with severe and devastating conditions. We are using a proprietary state-of-the-art generative and predictive AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery.
+
+The GEMS platform integrates deep learning-based predictive models, molecular simulations, and molecular generative AI. GEMS accelerates hit ID through lead optimization and candidate selection by generating promising molecules for synthesis and experimental testing, and iterating this process through multiple cycles of AI-enabled discovery and optimization. 
+
+We have leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has two AI platform collaborations across a range of therapeutic areas: Eli Lilly (signed in 2022) and Genentech (signed in 2020).
+
+Genesis has raised over $280M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures. We are rapidly growing our team with a variety of openings on our machine learning, computational chemistry, and software teams (primarily located in the Bay Area) and our chemistry, biology, and clinical teams (primarily located in San Diego). To learn more about Genesis Therapeutics, or current employment opportunities, please visit our website.","Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for engineers excited to help develop new medicines and play a critical role in building out our software platform.You willBuild and expand on tools for visualizing molecules and proteins, analyzing machine learning models, and managing complex chemical workflowsWork closely with machine learning engineers and medicinal chemists to develop and productionize new computational methods for molecular property predictionHelp scale our data infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobsYou areA strong software engineer who will write code quickly and uphold our code quality standardsA deep thinker who reasons from first principles over pattern matchingInterested in learning about biochemistry and the drug development processWhat We OfferThe opportunity to work on high impact tools and products that are immediately deployed to accelerate the discovery of new medicinesStrong technical coworkers in AI, software, and chemistry, who all have a powerful mix of intellectual curiosity and humility. The team reads and discusses 1-2 machine learning or chemistry papers every week to stay on top of the field and inspire new ideasGenesis Therapeutics is unifying AI and biotech to discover novel and breakthrough treatments for patients with severe and devastating conditions. Genesis was founded on groundbreaking molecular ML research and since has established itself as the industry leader in AI for small molecule drug discovery. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules.Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets.The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has signed AI-focused platform collaborations with major pharmaceutical companies, including most recently Incyte Corporation (Feb 2025) and Gilead Sciences (Sept 2024).We raised a $200M series B in August 2023, and have raised over $300M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.",Not Applicable,Software Engineer Intern (Fall 2025)
+610,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is dynamic, fast-pacing, collaborative and impact-driven.Responsibilities - What You'II Do Participate in the recommendation algorithm of the live streaming business and make contributions to a world-class large scale recommendation system Optimize the core algorithms and strategies (recall, coarse ranking, fine ranking, mixed ranking, diversity, etc.) through modeling technologies including deep learning, representation learning, multi-task learning, causal inference, and sequence modeling. Ensure every user finds relevant creators and enjoys the fun of live streaming. Continuously improve recommendation technology with deep understanding of the ecological roles of users, creators, platforms, drive growth in user experience, creator growth, platform revenue, and create a virtuous cycle of livestream ecosystem Work closely with the product and operations team, excel in technological innovation with deep integration of business characteristics, and help achieve long-term and short-term business development goals.QualificationsMinimum Qualifications Solid programming foundation, good programming style and work habits, solid knowledge of data structures and algorithms. Has strong theoretical foundation and extensive practical experience in the field of machine learning/deep learning , familiar with at least one mainstream deep learning framework. Has exceptional ability to analyze and solve problems, passionate about solving challenging problems; good at communication, proactive at work, has a strong sense of responsibility, and possess good teamwork skills. Priority will be given to individuals who have published papers at top conferences, won competitions such as ACM/machine learning, or have experience in core algorithm businesses such as large-scale recommendation systems, computational advertising, and search engines.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $126000 - $221760 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, TikTok Live Stream"
+611,2025-04-05,San Francisco,CA,Two Dots,http://twodots.net,"The only truly effective all in one fraud prevention and underwriting system.  Easily centralize, automate decisioning, eliminate manual review, and boost your NOI.","Two Dots is using AI to remake the way consumer underwriting is done, starting with residential real estate. Most consumers' most important financial information is locked up in documents, and we’ve built technology that is able to harness this data to make better lending decisions. We’ve coupled this underwriting agent with advanced document and identity anti-fraud, and we’re working toward democratizing sophisticated consumer underwriting for all.After raising our Series A, we are growing rapidly! And could use your expertise to help us become the new standard in consumer underwriting.Please note that we require all full-time employees to work from our office in San Francisco, CA.Role overview:Reporting directly to our Co-Founder and CTO, Two Dots is looking for our first-ever Machine Learning Engineer. In this role you will design, develop, and deploy machine learning solutions, with a focus on fine tuning multimodal large language models (LLMs) to solve real-world problems. The ideal candidate will have a passion for building and deploying advanced ML applications, with the aim to produce business impact and client satisfaction.Key Responsibilities:Work autonomously to design, develop and deploy machine learning modelsAnalyze large datasets to uncover insights and trends that inform product development and personalized customer experiencesContinuously monitor and improve the performance of deployed models, ensuring they meet business objectives and scalability requirementsStay up to date with the latest advancements in machine learning, AI, data science and engineering, and apply this knowledge to improve our products and servicesDesirable Traits:2+ years of experience in a Machine Learning or Data Engineering role, with a strong proficiency in Python and ML frameworks like PyTorch requiredProven ability to improve models for key information extraction, including named entity recognition and matching, and financial document classificationExperience with active learning, HITL driven workflows; working with large labeling and quality teams is a plusStrong problem solving skills, with the ability to think critically and creativelyExcellent communication and interpersonal skills, capable of explaining complex operational information in an understandable wayA proactive, curious mindset with a relentless pursuit of excellence and innovation in tackling complex problemsHungry for personal and professional growth and ready to scale with Two Dots!What you get in return:An opportunity to revolutionize the real estate leasing industry and own projects that make a tangible impactAn environment with a work culture that is based on trust, ownership, flexibility and a growth mindsetA competitive salary, comprehensive equity package, and substantial benefitsClosing:Two Dots is an equal opportunity employer. We aim to build a workforce of individuals from different backgrounds, with different abilities, identities, and mindsets. Even if you do not meet all of the qualifications listed above, we encourage you to apply!Compensation is variable and is subject to a candidate’s personal qualifications and expectations. For this role, we offer the following base salary range, in addition to an equity package and full benefits: $150k - $225k per year.Compensation Range: $150K - $225K",Entry level,Machine Learning Engineer
+612,2025-03-17,Dublin,CA,"iTradeNetwork, Inc.",http://www.itradenetwork.com,"iTradeNetwork is a leading supply chain management platform for the food and beverage industry, enhancing efficiency, visibility, and collaboration. We offer solutions for procurement, food safety, transportation, spend management, and data services. Our platforms helps retailers, growers, manufacturers, operators, and distributors streamline operations, ensure compliance, and optimize costs.
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+With over 2,500 trading partners and $50 billion in annual transactions, iTradeNetwork is a key player in the perishables supply chain.","About iTradeNetworkAt iTradeNetwork, we provide advanced supply chain software and insights tailored to the food & beverage industry. Our mission is clear and ambitious: To feed the world. From the start, we’ve been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact.Our cutting-edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably. We’re proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 foodservice distributors, and 8 of the top 10 global food and beverage manufacturers.JOB SUMMARYAre you a machine learning enthusiast who thrives on transforming data into impactful insights? Do you dream in algorithms, data pipelines, and model architectures? We’re looking for a Machine Learning Full Stack Developer who is a true builder—someone who can roll up their sleeves, design, develop, and deploy scalable ML solutions. This isn’t just another job; it’s an opportunity to be part of a team that is shaping the next generation of AI-driven products that will directly drive growth.Key Responsibilities:Build the Future: Design, develop, and deploy end-to-end machine learning systems optimized for performance, scalability, and rapid deployment.AI-First Development: Leverage AI tools (GitHub Copilot, Cursor AI, ChatGPT, Otter AI) to enhance code efficiency, refactoring, debugging, and documentation.Rapid Prototyping: Rapidly prototype and deploy ML models and full-stack applications using AI-assisted development tools.ML & Data Pipelines: Build and optimize data pipelines for efficient ingestion, transformation, and analysis.LLM Integration: Implement and fine-tune large language models (LLMs) like GPT, BERT, and integrate them seamlessly into production systems.MLOps Excellence: Design, develop, and implement CI/CD pipelines for continuous deployment and monitoring of machine learning models.Cloud-Native Development: Build and maintain cloud-native ML applications on platforms like GCP, AWS, or Azure.Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into scalable ML solutions.Solve Complex Problems: Tackle technical challenges, from optimizing algorithms to deploying real-time machine learning systems.Tech Stack:Languages: Python, JavaML Frameworks: TensorFlow, PyTorch, Scikit-learnDatabases: BigQuery, PostgreSQL, Redis, MongoDBCloud & DevOps: Kubernetes, Docker, Terraform, GCP, AWSMLOps Tools: MLflow, Kubeflow, AirflowAI Tools: GitHub Copilot, Cursor AI, Otter AI, ChatGPTNLP & LLMs: GPT, BERT, Transformer architecturesCI/CD & Automation: GitHub Actions, JenkinsWhat You Bring:Bachelor’s degree in Computer Science, Engineering, or just equivalent hands-on experience with no degree!5+ years of hands-on experience in machine learning and full stack development, with at least 3+ years in data science and 3+ years in ML engineering.Proven ability to develop and deploy ML models with minimal requirements.Strong coding ability demonstrated via a HackerRank assessment (preferred HackerRank Gold Badge).Expertise in Python and Java for building production-grade ML systems.Strong experience with cloud platforms like GCP, AWS, or Azure.Deep understanding of MLOps best practices, including CI/CD pipelines and model monitoring.Ability to quickly understand and implement complex data models and algorithms.Strong problem-solving, analytical thinking, and debugging skills.Excellent communication and collaboration abilities.Why you will love working here:Competitive salary packagesComprehensive medical, dental, vision, and life insurance benefits for you and your familyFlex PTO for exempt employees and competitive PTO for non-exemptPaid parental leave for eligible employees401(k) matchingTuition reimbursement on approved programsGreat health & well-being benefits including Teladoc for general medical and mental health careThese benefits are only applicable to full-time employeesThis is a hybrid position, candidates must be located in the Bay Area, CA; Charlotte, NC; Denver, Colorado; and Atlanta, Georgia unless listed otherwiseAdditional Requirements:Must be able to demonstrate lawful ability to work in the United StatesiTradeNetwork, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran by applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability",Mid-Senior level,Machine Learning Engineer
+613,2025-04-02,Chicago,Illinois,Grubhub,http://www.grubhub.com,"Grubhub is a leading food-ordering and delivery marketplace on a mission to empower everyday convenience and champion merchants from coast to coast.
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+Part of Wonder, a new kind of food hall that is revolutionizing the food industry by creating the super app for mealtime, Grubhub features more than 375,000 merchants in over 4,000 U.S. cities.
+Restaurants, grocery, and local merchants are the core of our offering—and the heart of the communities we serve. Our mission is to strengthen our roots, deepen our connections, and increase our positive impact. We strive to help merchants grow their businesses and experiment with new concepts.
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+Our community is powered by thousands of drivers around the country. We provide drivers with flexible opportunities to work and earn on their own schedules—and keep 100% of the tips they earn while they deliver. Together with our merchants and drivers, we give customers more options for delivery, whether it’s their go-to meal from their favorite local restaurant, or a craving to discover something new.
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+Through the Grubhub Community Fund, we have given more than $70 million to charitable organizations and communities nationwide since 2020. Focusing on supporting independent restaurants, helping close the hunger gap, and creating more opportunities for people in the hospitality industry, we forge nationwide partnerships that strengthen our competitiveness in the marketplace, attract and retain the best talent, and show customers how we support the communities they live in.
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+Since we opened our doors in Chicago in 2004, Grubhub has been opening doors all across the country. With thousands of merchants nationwide, Grubhub delivers the best local, authentic cuisine right to diners’ doors—and new customers and billions in revenue to local businesses. And that helps open even more doors. Bakery doors in Hyde Park. Jibarito joint doors in Queens. And doors of opportunity all across the country.","About The OpportunityThe Data Engineer position within Grubhub's Growth team plays a pivotal role in enhancing our big data infrastructure and refining existing pipelines that drive Grubhub's growth marketing efforts. Collaborating closely with Customer Engagement and Analytics teams, the Data Engineer will partner to develop automated marketing campaigns and create custom audience segments for email, push, and/or in-app initiatives. Additionally, they will be responsible for developing and maintaining monitoring dashboards to ensure the effectiveness and quality of campaign delivery. As a Data Engineer, you will be expected to develop a well-informed long-term data architecture, lead structured problem-solving efforts, and remain flexible and adaptable to seize new opportunities as they arise. Our team's responsibilities extend to generating automated analytical reports and metrics that are reviewed at senior levels. Candidates should possess expertise in designing, creating, managing, and leveraging large datasets for business purposes.This position provides a distinct chance to oversee and develop novel solutions for data storage, pipelining, and visualization starting end-to-end. The pipelines and processes developed in this role will be indispensable for accomplishing business needs. As such, we are seeking an individual who can not only excel in engineering tasks but also demonstrate a keen interest in understanding the business intent of their work. The ideal candidate should possess exceptional attention to detail, strong communication skills, resourcefulness, a customer-centric approach, a team-oriented mindset, the ability to work independently in a fast-paced environment, and have an ownership mindset.The Impact You Will MakeWork with high volumes of data and distributed systems using technologies such as Spark, Hive, AWS EMR, AWS S3, Azkaban, PrestoDesigning and implementing robust data pipelines to efficiently process and analyze large volumes of dataDeveloping scalable and maintainable data storage solutions to accommodate the growing needs of the organizationCollaborating with analysts to understand their requirements for metrics and automate them for campaigns launched, so they can scale and evaluate the performanceBuilding monitoring and alerting systems to ensure the integrity and availability of data pipelinesOptimizing query performance and data processing workflows to reduce latency and improve efficiencyProviding technical expertise and guidance to other team members on best practices for data engineering and architectureContinuously evaluating new technologies and tools to enhance the team's capabilities and improve efficiencyWhat You Bring to the TableBachelor's degree required in Computer Science/Information technology.2+ years of relevant experience in a data engineering roleExcellent knowledge of SQL1+ years of experience with Python programming languageBackground in ETL and data processing, familiar with how to transform data to meet our goals i.e. launch automated campaigns, and a monitoring dashboard.Ability to take on ownership of projects at both a technical and organizational levelStrong written and oral communication skills to effectively partner with various functional groupsWillingness to understand the larger business contextStrong self-management / prioritization capabilitiesGot these? Even betterMaster’s degree in Computer Science/Information technologyExperience with AWS or another cloud service providerUnderstanding of conventional data warehousing principles like 3NF, star schemas, and dimensional modelingHave a strong enthusiasm for learning and sharing knowledgeThorough attention to detail and precision, with a structured and organized approachAs a matter of company policy, Grubhub does not sponsor applicants for employment visa status for this role. The base salary range for this position is below: Illinois: $88,000-$132,000New York: $97,000- $145,000Grubhub uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.And Of Course, Perks! Flexible PTO / PTO. Grubhub employees enjoy a generous amount of time to recharge.Health and Wellness. Excellent medical, dental and vision benefits, 401k matching, employee network groups and paid parental leave are just a few of our programs to support your overall well-being.Free Meals. Our employees get a weekly Grubhub credit to enjoy. Social Impact. At Grubhub we believe in giving back through programs like the Grubhub Community Fund. Employees are also given paid time off each year to support the causes that are important to them.Grubhub is an equal opportunity employer. We welcome diversity and encourage a workplace that is just as diverse as the customers we serve. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you’re applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an email to TalentAcquisition@grubhub.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. CA Privacy Notice: If you are a resident of the State of California and would like a copy of our CA privacy notice, please email privacy@grubhub.com.",Entry level,Data Engineer I
+614,2025-04-08,London,England,InterEx Group,http://www.interex-group.com,"InterEx’s vision is to revolutionise the technical resource service market globally. We will do this by redefining the relationship between staffing service providers and customers. Our goal is to offer a comprehensive suite of solutions.
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+InterEx Group takes a unique approach by offering project-driven, outcome-based solutions across the technology space. We partner closely with our customers to solve their business and technology challenges, utilising our experience and capability of supplying the right expertise and services for all our customers resource needs. InterEx has an exceptional and defined process to deliver an efficient, cost optimised and tailor-made service. 
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+Over the last 8 years we have secured our position as a leader in providing the world’s biggest technical projects with experts in Data, ERP and CRM. We currently have offices in London, Amsterdam, Miami and New York. This allows us to offer a 24/7 service to our clients whereby we can access candidates in every corner of the globe.","Senior RoleThe ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the correct answers.ResponsibilitiesAnalyze raw data: assessing quality, cleansing, and structuring for downstream processingDesign accurate and scalable prediction algorithmsCollaborate with the engineering team to bring analytical prototypes to productionGenerate actionable insights for business improvementsQualificationsBachelor's degree or equivalent experience in a quantitive field (Statistics, Mathematics, Computer Science, Engineering, etc.)At least 4 years of experience in quantitative analytics or data modellingDeep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithmsFluency in a programming language (Python, CC++, Java, SQL)Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)",Mid-Senior level,Senior Machine Learning Engineer
+615,2025-04-04,,,FIS AUSTRALASIA PTY LTD,https://www.fisglobal.com,"FIS AUSTRALASIA PTY LTD is an information technology and services company based out of 385 Bourke St, Melbourne, Victoria, Australia.","Back to search resultsPrevious job Next jobJob Description Position Type : Full timeType Of HireExperienced (relevant combo of work and education)Education DesiredBachelor of EngineeringTravel Percentage0%Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.About The TeamThe Capital Markets AI/ML CoE team is a horizontal CoE for Capital Markets that is helping us drive revenue and bring significant savings to our businesses by identifying, exploring, and implementing AI/ML solutions.The Capital Markets is one of the two verticals in FIS. It has various products and solutions in funds management, cleared derivatives, commercial lending, corporate treasury, insurance risk electronic trading, RegTech, wealth and retirement etc.The team consists of highly motivated solution architects, data scientists and ML engineers.What You Will Be DoingAs a Data Scientist, you will be assisting with designing and developing cutting-edge AI/ML solutions across the organization.What You BringKnowledge / ExperienceBasic working experience in data analysis and ML modeling.Understanding of machine learning and deep learning concepts.Ability to assist in formulating business problems as machine learning problems.Basic knowledge of model evaluation and interpretability.Familiarity with computer vision, natural language processing, and anomaly detection.Awareness of GenAI and its applications in the industry.Good communication skills:Ability to communicate ideas clearly and concisely, both verbally and in writing.Ability to collaborate effectively with business and tech teams.Problem-solving skills with a focus on optimal solutions.Knowledge of the financial services marketplace is a plus.SkillsProficiency in Python.Good-to-have: Experience in additional programming languages (e.g., Java or C#).Familiarity with frameworks and libraries like scikit-learn, TensorFlow, PyTorch, Keras, pandas, etc.Basic knowledge of REST services using Flask or FastAPI.Understanding of SQLAlchemy and Pydantic data modeling.Experience with one of the cloud platforms (e.g., AWS, GCP, Azure) and AI Studios is a plus.Basic understanding of solving practical problems using GenAI.Familiarity with leveraging LLMs for practical solutions.Team skills, including the ability to establish and maintain effective working relationships both internally and externally.Experience working with at least one relational database.Basic experience in application development and using IDEs.Innovative thinking.QualificationsBachelor’s degree in engineering or related field or the equivalent combination of education, training, or work experience.Degree / Certification in Data science, Statistics, or related fields.CompetenciesFluent in EnglishExcellent communicator – ability to discuss technical and commercial solutions to internal and external parties and adapt depending on the technical or business focus of the discussion.Attention to detail – track record of authoring high quality documentation.Organized approach – manage and adapt priorities according to client and internal requirements.Self-starter but team mindset - work autonomously and as part of a global teamWhat We Offer YouA multifaceted job with a high degree of responsibility and a broad spectrum of opportunitiesA broad range of professional education and personal development possibilities – FIS is your final career step!A competitive salary and benefitsA variety of career development tools, resources, and opportunitiesWith a 50-year history rooted in the financial services industry, FIS™ is the world's largest global provider dedicated to financial technology solutions. We champion clients from banking to capital markets, retail to corporate and everything touched by financial services. Headquartered in Jacksonville, Florida, our 53,000 worldwide employees help serve more than 20,000 clients in over 130 countries. Our technology powers billions of transactions annually that move over $9 trillion around the globe. FIS is a Fortune 500 company and is a member of Standard & Poor’s 500® Index.FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the FIS Online Privacy Notice.Privacy StatementFIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.Sourcing ModelRecruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.#pridepassClose the popupApply NowTake a virtual tour of our India offices!Get notified for similar jobsYou'll receive updates once a weekEnter Email address (Required)Email should not be empty Please enter valid emailSuccess! Successfully subscribed for similar jobs Failure! You have already subscribed for this job Failure! 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+616,2025-03-26,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!We at the Experience Intelligence team are looking for a passionate Senior Full-stack ML Engineer to join our Content Generation team! Together, we'll transform research-level proof of concepts into production systems like Genstudio for Performance Marketing. We are on a mission to empower our customers to generate high-performing, on-brand marketing content at scale, and your work will directly drive this mission forward.In this role, you'll drive system design, assess ML models, develop production data/ML pipelines, create automation architecture, build visualizations, and deploy systems. We've built a diverse, lively group of engineers and scientists with deep roots in the ML space, and we're excited for you to bring your creativity to our multidimensional, fast-paced, and data-driven environment!What you'll do with us:You'll train and finetune ML models that solve business use cases and handle data at scale. We'll work together to architect and optimize end-to-end ML pipelines, ensuring they're scalable, efficient, and robust. You'll dive deep into data to recommend the right models, evaluation metrics, and governance approaches. Throughout the product lifecycle, you'll engage in architecture, design, deployment, and production operations of ML models and systems. What will help you thrive:We're looking for someone with a PhD or postgraduate degree in Computer Science, Computer Engineering, or a related field—or equivalent experience. You should bring 5+ years of proven experience as a Machine Learning Engineer with successful delivery of ML projects to customers, and 2+ years of hands-on experience working with generative AI technologies such as LLMs, evaluations, fine-tuning, and more. Your strong Python and deep learning engineering skills, paired with experience in training and inferencing with PyTorch or TensorFlow, will be essential. Experience with LLM frameworks and tools like Hugging Face, LangChain, PEFT, and LlamaIndex will help you make an immediate impact. Knowledge of deployment technologies such as Docker, ML Ops, and ML services is valuable, and experience with cloud platforms like Azure and AWS is a plus. We value excellent problem-solving abilities and your capacity to analyze complex issues and drive solutions with a data-driven approach. Your strong verbal and written communication skills and success in cross-functional team environments will help us all succeed together. What we offer:We provide competitive compensation, comprehensive health benefits, flexible work arrangements, and opportunities for continued learning and development. Our collaborative culture encourages growth, innovation, and making a real impact in the field of machine learning and AI.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process.Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,Senior Machine Learning Engineer
+617,2025-03-29,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
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+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on a talented Machine Learning Engineer to help us improve the delivery service quality for DoorDash's three-sided marketplace of consumers, merchants, and dashers. DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term.. We are looking for Machine Learning Engineers, Economists, Mathematicians, Statisticians, and Senior Quantitative Researchers from all disciplines.About The RoleAs a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop inference and ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate on models to help us grow our business and provide the best service quality for our customers.You’re Excited About This Opportunity Because You Will…Build statistical and ML models that run in production to help enhance the consumer experience by reducing missing and incorrect items, cancellations, estimated arrival times, and non fulfilled ordersOwn the modeling life cycle end-to-end including feature creation, model development and prototyping, experimentation, monitoring and explainability, and model maintenance Being exposed to new opportunities where delivery quality can be used as a lever for demand shaping, search ranking, customer segmentation, etcYou can find out more on our ML blog post hereWe’re Excited About You Because…High-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double downYou’re an owner — driven, focused, and quick to take ownership of your workHumble — you’re willing to jump in and you’re open to feedbackAdaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth settingDesire for impact — ready to take on a lot of responsibility and work collaboratively with your teamExperience3+ years of industry experience post PhD or 5+ years of industry experience post graduate degree of developing machine learning models with business impactM.S., or PhD. in Machine Learning, Statistics, Computer Science, Applied Mathematics or other related quantitative fieldsDemonstrated expertise with programming languages, e.g. python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, TensorFlow, etcDeep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting and ExperimentationExperience of shipping production-grade ML models and optimization systems, and designing sophisticated experimentation techniquesYou are located or are planning to relocate to San Francisco, CA, Sunnyvale, CANotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within the United States.$159,800—$235,000 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - DoorDash Labs
+618,2025-01-22,Cambridge,MA,Kensho Technologies,https://www.kensho.com,"Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction. With engineers comprising over 75% of our ~100-person team, Kensho is an engineering-driven culture, laser focused on building products that solve our customers’ complex problems. Kensho is headquartered in Cambridge, Massachusetts. ","Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on speech recognition, entity linking, document extraction, automated database linking, text classification, natural language processing, and more.Kensho is looking for ML Engineer interns to join the group of Machine Learning Engineers working on developing a cutting-edge GenAI platform, LLM-powered applications, and fundamental AI toolkit solutions such as Kensho Extract. We are looking for talented people who share our passion for bringing robust, scalable, and highly accurate ML solutions to production.Are you looking to leverage your teammates' diverse perspectives to solve hard problems? If so, we would love to help you excel here at Kensho. You will be working on a team with experienced engineers and have an opportunity to learn and grow. We take pride in our team-based, tightly-knit startup Kenshin community that provides our employees with a collaborative, communicative environment that allows us to tackle the biggest challenges in data. In addition, as an intern you will have the opportunity to attend technical and non-technical discussions as well as company wide social events.We value in-person collaboration, therefore interns are required to work out of the Cambridge HQ or our New York City office!Technologies & Tools We UseAgentic systems: Agentic Orchestration, Information Retrieval, LLM code generation, LLM tool utilization, Multi-modal Embeddings, Multi-turn Conversationality, Textual RAG systemsCore ML/AI: DGL, GNNs, HuggingFace, LightGBM, NVIDIA NeMo, PyTorch, SKLearn, Transformers, XGBoostData Exploration and Visualization: Jupyter, Matplotlib, Pandas, Weights & BiasesData Management and Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch, Postgres/Pgvector, Qdrant, S3, SQLiteDeployment & MLOps: Airflow, AWS, DeepSpeed, Docker, Grafana, Jenkins, Kubernetes, Ray, vLLM, WhyLabsWhat You’ll DoAssist in conducting original work on large proprietary unstructured data and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value.Design, build, and maintain scalable production-ready ML systemsParticipate in the ML model lifecycle, from problem framing to training, deployment, and monitoring in productionPartner with our ML Operations team to deliver solutions for automating the ML model lifecycle, from technical design to implementationWork in a cross-functional team of ML Engineers, Product Managers, Designers, Backend & Frontend Engineers who are passionate about delivering exceptional productsWhat We Look ForOutstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:Pursuing a bachelor's degree or higher with relevant classwork or internships in Machine LearningExperience with advanced machine learning methodsStatistical knowledge, intuition, and experience modeling real dataExpertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)Demonstrated effective coding, documentation, and communication habitsStrong communication skills and the ability to effectively express even complicated methods and results to a broad, often non-technical, audience We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.Job ID: 307256Posted On: 2024-12-20Location: Cambridge, Massachusetts, United States",Internship,Machine Learning Engineer - Summer Intern 2025
+619,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Ads Targeting's goal is to help advertisers reach their desired audience and optimize advertisement performance. As a member of the Ads Targeting, Ads Core team, you will apply machine learning models to scale budgets by understanding user interest and intention, and build large-scale foundations for data processing and serving for next-generation ad targeting products. This team is working on a variety of products such as custom audience, interest, behavior, lookalike, auto targeting etc., as well as new innovative features.We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.What You'll Do Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the Tiktok ads monetization ecosystem. Build scalable platforms and pipelines for ads targeting products. Work with product and business teams on the product vision.QualificationsMinimum Qualifications: BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 3+ years of related experience. Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods. Strong coding skills, especially in Python/C++/Go. Experience with high-load systems. Familiarity with online experimentation and analytics. Familiarity with big data systems including Hadoop and Spark. Curiosity towards new technologies and entrepreneurship.Preferred Qualifications Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus. Understanding of the business value of online advertising. Experience with user modeling using deep learning methods from large scale datasets. Experience with privacy preserving modeling techniques is a plus. Experience in developing modern ads ranking/retrieval/targeting systems and recommender systems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $137750 - $237500 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer, Ads Targeting"
+620,2025-03-28,New York City,NY,Actively AI,https://www.actively.ai,"Custom AI that replicates the depth of your best sellers to increase qualified pipeline and revenue. Founded by Stanford AI researchers and loved by scale-ups and enterprises like Ramp, Verkada, Navan, and Ironclad.
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+Precision over volume.","Job DescriptionActively is building an intelligence platform to enable Sales & GTM teams to drive top-line revenue. Our LLM-driven tools help these teams remove the guesswork & time wasted on account research & planning; instead empowering salespeople to focus on what they do best - Sell!Having found excellent early traction with our customers, we’re looking to capitalize on our building momentum by adding a couple of impactful early software engineering hires. We have an ambitious product roadmap in front of us and we’re looking for motivated & collaborative builders who will own critical aspects of this plan, from end-to-end.Our highly differentiated approach is well-positioned to help define the next generation of AI tools, but to help us get there we’re looking for exceptional engineers who are excited about making impact some (or all) of the following:Larges features/functionality of the core product (you could work closely with users and customers and own new product features that make the product significantly more valuable for customers end-to-end)Technical complexity of the solution (help tackle a combination of product engineering challenges, work with LLMs, and build infra to make this work reliably and at scale — we process tens of millions of rows of data daily, including thousands of emails, notes, and call transcripts with LLMs)The potential success of Actively (you could contribute to everything from engineering & product roadmap, to troubleshooting & facilitating the scaling of our sales engine, or reverse engineer our own sales motions to uncover opportunities - “go-to-market” / GTM engineering)If you’re an engineer who wants to deeply understand customer needs and takes extreme ownership to deliver a pragmatic & iterative solution then you may be a great fit on our high caliber team.This is an extremely high-leverage, high-ownership role that touches the entire business — we firmly believe all problems are everyone’s problems here. If this excites you, we’d love to talk!Day in the LifeThis role is in-person in New York City.In a typical week, you’d probably:Talk to multiple users of our product at current customers, or new companies we’re piloting with, to see how they’re using it, what they need help with, and what we can build to make them more successful — we believe in being super hands-on, especially in this phase, to help our customers succeed (e.g., we onboard each sales rep 1:1, check-ins, fast feedback loops, etc.)Build a piece of the product you’re owning that will produce a step change in value for our customers, and work closely with users to test it out and iterateHelp figure out what on the roadmap to prioritize next / what new features we can build out to solve issues users are facing or unlock more valueHelp with data onboarding / POC for a new customer, including potentially building out tools (many AI-powered!) to automate this work and make it easier & faster in the futureContribute to brainstorming on a top-of-mind GTM question (”what should the pre-sales process look like? what metrics should we anchor on? what kinds of customers should we disqualify earlier and how can we recognize them a priori?”)Who You AreThe following are some attempts to define what the ideal candidate could look like for this role, but we’re excited to chat with you if you think you could be a a great fit regardless of how many of the items below you meet!Very strong engineering and/or ML background. You have great technical skills and interest or experience working with LLMs. You enjoy build things (especially from scratch) and are obsessive about what you’re building.High autonomy, ambitiousness, ownership. You’re pragmatic and love to ship quickly to deliver for customers; you’re excited about owning and leading major parts of the product and roadmap. You’re entrepreneurial and want to build a category-defining company.Excitement about being hands-on and iterating with customers. You’re a great communicator with blend of technical & product skills, and you love to talk to customers and users and make them happy! You’re very scrappy and willing to dig in where needed. You can figure out what customers want and drill that back into their underlying pain points. You have extreme attention to detail (especially for things that go in front of customers) and the ability to think from a user’s perspectiveHigh slope and desire / ability to “learn it all.” You’re curious, always want to learn, and know how you learn best; you’re able to pick up new skills (technical or non-technical) quickly and seek out the help you need.Stellar career trajectory & excited to take the next step in your path!Ideally: former founder and/or 2+ years of experience at a hyper-growth startup working very closely with customers (we call it “owning delivery”)",Not Applicable,Software Engineer - AI/LLM
+621,2025-04-08,Coppell,Texas,CornerStone Technology Talent Services,www.cornerstonetechtalent.com,"CornerStone Technology Talent Services (TTS) delivers scalable IT hiring, government workforce solutions, and executive search with precision. As a specialized, woman-owned IT staffing and consulting firm, we serve Texas, Arizona, Florida, North Carolina, South Carolina, Tennessee, Georgia, Illinois, Kentucky, and beyond, providing workforce solutions nationwide and globally. Backed by CornerStone Staffing’s extensive resources, we go beyond traditional staffing, offering agile talent strategies that drive technology transformation, workforce optimization, and hiring precision.
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+At TTS, IT hiring is strategic, not transactional. Whether companies require contingent workforce solutions, project-based consulting, or permanent executive leadership, our expert team sources pre-vetted technology professionals who align with business objectives, technical environments, and industry demands.
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+Our Services
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+- IT Staff Augmentation – Short- and long-term contract IT workforce solutions for cloud computing, cybersecurity, software development, DevOps, and infrastructure.
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+- Direct Hire & Executive Search – Retained and contingent permanent placement for IT leadership, engineering, and digital transformation roles.
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+- Government & SLED IT Solutions – Public sector staffing and IT hiring for state, local, education, and federal agencies, including State of Texas DIR.
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+- Statement of Work (SOW) & IT Consulting – Project-based workforce engagements, IT consulting, and managed IT solutions.
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+- Payrolling (Pass-Through) Services – Employer-of-record solutions, allowing clients to outsource headcount while maintaining workforce flexibility.
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+From emerging startups to Fortune 500 enterprises, TTS is the go-to partner for IT hiring, workforce planning, and government staffing. We deliver precise technical talent, deep market expertise, and workforce scalability to build tomorrow’s IT teams today.","About the RoleWe’re looking for an innovative, driven individual to help accelerate the development of a private, open-source-based AI platform currently in beta. You’ll be working alongside a lead engineer and directly with the founder to bring a working AI prototype to life — focused on delivering AI-driven imaging and chat capabilities for an oil & gas client.This is a hands-on opportunity to get deeply involved in AI product architecture, machine learning modeling, and system optimization using cutting-edge open-source tools. Ideal for a local student or recent grad with a passion for AI, systems, and turning ideas into real-world tools.Key ResponsibilitiesDesign, implement, and deploy machine learning models using open-source frameworks.Work on system architecture design and model tuning.Maintain and optimize private AI infrastructure (on-prem AI server).Collaborate with existing engineer on data handling and modeling strategies.Build and maintain databases using SQL and Python.Integrate and optimize tools like Olamma, MidJourney-style image generation, and open-source GPT chat UIs.Support hardware/software integration (Ubuntu Linux, NVIDIA GPU software, firewall and server configuration).Prototype and test AI imaging + chat applications tailored for an oil & gas use case.Develop and maintain clear, thorough technical documentation for all systems, models, and processes.Document AI workflows, model training pipelines, data preprocessing steps, and deployment configurations.Ensure reproducibility and handoff readiness by creating well-organized documentation and diagrams.Tech Stack & ToolsLanguages: Python, SQL, Java (nice to have)Libraries/Frameworks: Pandas, PyTorch, Open-source GPTTools: NVIDIA GPU stack, Ubiquiti/Unifi, Linux (Ubuntu)AI/ML: Chat AI, AI imaging, model deployment, MidJourney-style toolsDocumentation: Markdown, Jupyter Notebooks, Confluence (or similar)Ideal Candidatestudent or recent grad in Computer Science, Data Science, or related fieldFamiliarity with open-source AI tools and GPU-accelerated computingHands-on experience with Python for ML (e.g., Pandas, PyTorch)Comfortable working with Linux-based systemsPassion for machine learning, AI, and turning theory into prototypesUnderstands the importance of accurate documentation in scalable AI system designCurious, self-directed, and eager to contribute ideas",Entry level,Machine Learning Engineer
+622,2025-03-30,San Francisco,California,Pave,https://pave.com,"Pave is a market-leading compensation management platform for the modern enterprise. Our powerful suite of real-time benchmarking data and compensation workflows ensure every total rewards decision you make delivers value for leaders, people managers, employees and candidates alike.
+","Why join Pave?At Pave, our vision is simple - unlock a labor market built on trust.How are we going to get there? By building a compensation platform powered by the largest real-time compensation dataset on earth, we give you confidence in every compensation decision.We partner with our customers to help them build and retain world-class teams through planning, communicating and benchmarking their team’s compensation in real time. And you don’t have to just hear it from us — you can hear it from our customers: Affirm, Airtable, Ancestry, Clio, Credit Karma, Dropbox, Hover, Hubspot, Grammarly, Ramp, Workato and (8,500+) more!We're growing fast, building an incredible team and product, and having plenty of fun as we do it. We have offices in San Francisco and New York City, and are also expanding to Salt Lake City and welcoming remote team members.If playing to win, building with intellectual honesty and focusing on the Pave platinum standard sounds like fun - we highly encourage you to reach out. We’d love to partner on our journey to change the world of compensation!Market Data Team @ PaveAs part of the data team at Pave you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave we’re bringing modern machine learning, data science, and software tooling to an industry that is built on data, but doesn’t have the tools it needs to fully leverage it.What You'll Be Doing:Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a wholeCollaborate with product and engineering teams to identify additional opportunities to leverage ML-driven solutionsHelp evolve the technical direction of ML initiatives across the companyDrive millions of dollars of revenue growthWhat You'll Bring:5+ years of experience building and deploying ML models in production environmentsStrong foundation in machine learning, statistics, and deep learning fundamentalsExpertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar)Experience with large-scale data processing and ML model optimizationExperience with MLOps practices and tools (model versioning, monitoring, and deployment)Strong software engineering practices and experience with production systemsExpert-level SQL skills with experience writing complex queries and optimizing query performanceAbility to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100A final note — we highly encourage you to apply for this role, even if you don’t feel entirely qualified, or entirely sure. You never know!(This role is eligible for sponsorship)Compensation, It's What We Do.This salary range may include multiple levels. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental and vision coverage, commuter benefits, catered lunch, an unlimited PTO policy, and many other region-specific benefits.Pave's salary range for this position$205,700—$278,300 USDUnderstand our DNAAt Pave, we embrace a relentless pursuit of excellence - we're committed to being in the top tier of our industry in everything we deliver. If you're seeking standard hours and conventional challenges, this might not align with your goals. If you're eager to push boundaries and elevate your potential beyond what you thought possible, we welcome your applicationOur Compensation PhilosophyWe've built our compensation framework to recognize and reward exceptional talent while fostering authentic connections with candidates who share our vision. Our approach emphasizes pay for performance, ensuring that your growth and impact are reflected in your rewards. We continuously innovate our compensation practices to maintain efficiency and fairness over time, creating alignment between candidate aspirations and company success.FAQ’s: How big is Pave today? We were founded in late 2019, and have grown to 150 employees across the US & UK with offices located in San Francisco & New YorkWhere are the Pave offices? Our company HQ is in San Francisco's FiDi with a high energy in-person culture. We also have an office in NYC and a hub in Salt Lake City & EnglandWhat do employee benefits at Pave look like? As an employee at Pave, you will have your choice of medical, dental and vision insurance, as well as access to mental health services and other perks to promote your wellbeing. To enhance your personal and professional growth, you will have a quarterly L&D stipend. We take our snacking seriously - (in-office) employees receive a lunch and dinner stipend as well as many fun snacks throughout the day.What can I expect in interviewing at Pave? At Pave, we value intellectual honesty and transparency, and we bring this to our interview process. Throughout your time interviewing with us, we will be evaluating where you can best make an impact through multiple conversations with your recruiter, hiring manager, peers, cross-functional partners and leadership. We also use our interviews to determine leveling, which is finalized at the end of your interview process by your hiring manager. The majority of our roles have 3-5 interview rounds. You can expect to hear back from our team within 2 days after each interview round. Once we extend an offer, we hope to hear back from you within 3 days. It is extremely important to us that we find a great mutual fit - we’re excited to get to know you!More Questions? Check out our candidate resources page!Pave is committed to a diverse and inclusive workforce. We are an equal opportunity employer and do not discriminate on the basis of race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or another legally protected status. For individuals with disabilities who would like to request accommodation, please email recruiting@pave.com. Sponsorship for work visas or other permits may be available for certain positions, subject to Pave's policies and legal requirements.",Mid-Senior level,Machine Learning Engineer
+623,2025-03-31,Deerfield,IL,Walgreens,http://www.walgreens.com,"Walgreens (www.walgreens.com) is included in the U.S. Retail Pharmacy Segment of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global leader in retail pharmacy. As America’s most loved pharmacy, health and beauty company, Walgreens purpose is more joyful lives through better health. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving approximately 9 million customers each day. Walgreens pharmacists play a critical role in the U.S. healthcare system by providing a wide range of pharmacy and healthcare services. To best meet the needs of customers and patients, Walgreens offers a true omnichannel experience, with platforms bringing together physical and digital, supported by the latest technology to deliver high-quality products and services in local communities nationwide.","Job SummaryAs a Senior Machine Learning Engineer, you will play a pivotal role in driving the development, deployment, and scaling of machine learning models and systems. You will be involved in complex machine learning initiatives, mentor junior and intermediate engineers, and collaborate closely with engineering, product, and data science teams. With your deep expertise in ML engineering and a focus on best practices, you’ll ensure that our solutions are robust, scalable, and aligned with business goals. You will also drive improvements in deployment practices, including API integration, CI/CD pipelines, and container orchestration using modern technologies.Job ResponsibilitiesDevelops software that processes, stores and serves data and machine learning models for use by others.Develops large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and intelligence to support business needs.Writes ETL (Extract / Transform / Load) or ELT processes, designs data stores and develops tools for real-time and offline analytic processing on premise or on cloud infrastructure.Develops and maintains optimal data pipelines into the ML and advanced analytics platform, including design of data flows, procedures, and schedules. Ensures that optimal data pipelines are scalable, repeatable and secure.Troubleshoots software and processes for data consistency and integrity. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.Anticipates and prevents problems and roadblocks before they occur.Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.Collaborates with AI/ML scientists and data scientists to prepare data for model development, and to deploy models to production.About WalgreensFounded in 1901, Walgreens (www.walgreens.com) has a storied heritage of caring for communities for generations, and proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico, and leading omni-channel platforms. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for retail pharmacy and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities.Walgreens is the flagship U.S. brand of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), an integrated healthcare, pharmacy and retail leader. Its retail locations are a critical point of access and convenience in thousands of communities, with Walgreens pharmacists playing a greater role as part of the healthcare system and patients’ care teams than ever before. Walgreens Specialty Pharmacy provides critical care and pharmacy services to millions of patients with rare disease states and complex, chronic conditions.Bachelor's degree and at least 4 years of experience in machine learning, software engineering, or data engineeringDeep knowledge of SQLSignificant experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or JavaExperience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.Experience presenting to all levels of an organizationAt least 2 years of experience contributing to financial decisions in the workplaceAt least 2 years of direct leadership, indirect leadership and/or cross-functional team leadershipWilling to travel up to 10% of the time for business purposes (within state and out of state).Graduate degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering.Strong experience designing and implementing monitoring and alerting systems for cloud-based applications, including log management and analysis tools (e.g., ELK stack, Splunk).Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services, as well as deploying ML models at scale in production using open-source tools (e.g., Kubeflow, Seldon).Proficiency in CI/CD practices for AI/ML model development and deployment, with experience using tools such as Azure DevOps, Tekton, or GitHub Actions.Experience with Infrastructure as Code (IaC) tools, particularly Terraform.Familiarity with DAG-based workflow orchestration systems (e.g., Airflow, Prefect) and data processing pipelines using Apache Spark or Databricks.Experience working with ML registries (e.g., MLFlow) and deploying event-driven or reactive ML applications.Strong background in deploying and maintaining ML systems for both batch and streaming data.Expertise in troubleshooting distributed systems, optimizing performance, and reducing costs in cloud environments.Proficient in writing and deploying production-grade Python applications and libraries.Experience with REST API development and configuring Kubernetes in multi-tenant environments.We will consider employment of qualified applicants with arrest and conviction records.$127500 - $204000 / SalariedBasic QualificationsBachelor's degree and at least 4 years of experience in machine learning, software engineering, or data engineeringDeep knowledge of SQLSignificant experience programming in one or more of the following: Python, C, C++, Spark, Scala, and/or JavaExperience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.Experience diagnosing, isolating, and resolving complex business issues and recommending and implementing strategies to resolve problems.Experience presenting to all levels of an organizationAt least 2 years of experience contributing to financial decisions in the workplaceAt least 2 years of direct leadership, indirect leadership and/or cross-functional team leadershipWilling to travel up to 10% of the time for business purposes (within state and out of state).Preferred QualificationsGraduate degree in a technical discipline and at least 2 years of experience in machine learning, software engineering, or data engineering.Strong experience designing and implementing monitoring and alerting systems for cloud-based applications, including log management and analysis tools (e.g., ELK stack, Splunk).Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services, as well as deploying ML models at scale in production using open-source tools (e.g., Kubeflow, Seldon).Proficiency in CI/CD practices for AI/ML model development and deployment, with experience using tools such as Azure DevOps, Tekton, or GitHub Actions.Experience with Infrastructure as Code (IaC) tools, particularly Terraform.Familiarity with DAG-based workflow orchestration systems (e.g., Airflow, Prefect) and data processing pipelines using Apache Spark or Databricks.Experience working with ML registries (e.g., MLFlow) and deploying event-driven or reactive ML applications.Strong background in deploying and maintaining ML systems for both batch and streaming data.Expertise in troubleshooting distributed systems, optimizing performance, and reducing costs in cloud environments.Proficient in writing and deploying production-grade Python applications and libraries.Experience with REST API development and configuring Kubernetes in multi-tenant environments.We will consider employment of qualified applicants with arrest and conviction records.",Not Applicable,Senior Machine Learning Engineer I
+624,2025-03-22,Somerville,Massachusetts,Generate:Biomedicines,https://generatebiomedicines.com/,Pioneering generative biology to create breakthrough therapeutics.,"About Generate:BiomedicinesGenerate:Biomedicines is a new kind of therapeutics company – existing at the intersection of machine learning, biological engineering, and medicine – pioneering Generative Biology™ to create breakthrough medicines where novel therapeutics are computationally generated, instead of being discovered. The Company has built a machine learning-powered biomedicines platform with the potential to generate new drugs across a wide range of biologic modalities. This platform represents a potentially fundamental shift in what is possible in the field of biotherapeutic development.We pursue this audacious vision because we believe in the unique and revolutionary power of generative biology to radically transform the lives of billions, with an outsized opportunity for patients in need. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us!Generate:Biomedicines was founded in 2018 by Flagship Pioneering and has received over $700 millionin funding, providing the resources to rapidly scale the organization. The Company has offices in Somerville and Andover, Massachusetts with 300+ employees.The Role: We are seeking a creative and motivated Senior Software Engineer to help build the platform that powers machine learning research at Generate. As a key member of the MLOps team, you will play a pivotal role in designing, developing, and maintaining tools, infrastructure, and distributed systems that enable efficient model training, evaluation, and deployment. Your contributions will help drive the development of foundational models that will revolutionize antibody design. The successful candidate will collaborate closely with ML scientists, engineers, and product managers to define platform needs and shape the product roadmap.Here's how you will contribute:Design, develop, and maintain core functionality across a suite of ML platform tools. Build and evolve APIs and microservices that orchestrate model training, evaluation, and deployment workflows. Skillfully utilize AWS infrastructure to design and support scalable, reliable, and secure platform operations. Develop distributed systems and Kubernetes-style deployments, supported by in-team DevOps expertise. Collaborate cross-functionally with scientists, engineers, and product managers to define platform requirements and drive product development. The Ideal Candidate will have:5+ years of experience in a software engineering role. Strong proficiency in Python and object-oriented programming principles. Deep understanding of design patterns and software architecture. Experience with AWS services such as ECS, Lambda, and EC2. General fluency in relational database usage (e.g., PostgreSQL). Demonstrated experience building and maintaining scalable microservices and distributed systems. Exceptional communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.COVID Safety:Generate:Biomedicines enforces a mandatory vaccination policy for COVID-19. All employees must be fully vaccinated and have received a booster. The purpose of this policy is to safeguard the health of our employees, their families, and the community at large from infectious disease that may be reduced by vaccinations. The Company will make exceptions to this policy if required by applicable law and will consider requests for an exemption from this policy due to a medical reason, or because of a sincerely held religious belief, or any other exemptions that may be recognized by applicable. Recruitment & Staffing Agencies  : Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto.",Mid-Senior level,"Senior Software Engineer I, ML Ops"
+625,2025-03-14,Burlingame,California,Lyra Health,http://www.lyrahealth.com,"Lyra Health is the leading provider of Workforce Mental Health benefits, available to more than 17 million people globally. Lyra is transforming access to life-changing mental health care using AI-powered provider matching, personalized support, and a digital platform to deliver evidenced-based support for individuals and teams. Lyra quickly connects members to an exclusive network of mental health providers and well-being tools, to address every mental health need and deliver positive outcomes across race and ethnicity. Independent peer-reviewed research confirms that Lyra’s transformative care model helps people recover twice as fast. For more information about Lyra Health’s Workforce Mental Health benefits for employers, visit lyrahealth.com.","About Lyra HealthLyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, nearly 20 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.We are looking for an experienced Machine Learning Engineer who cares about impact, ownership, cross-functional projects, and mentorship.This role can be carried out from our Burlingame, CA headquarters, hybrid, or fully remote/virtually. Please note - remote candidates must be physically located within the United States.ResponsibilitiesBe part of a team of innovative ML engineers working on core pieces of our ML and AI modelsTrain and evaluate machine learning models for search, recommendation, and clinical decision supportWrite production code to integrate ML models into our serving infrastructureCreate data systems to collect, clean, label, and store data used for featuresWork with product and clinical on requirements and solutions for ML and AI solutionsWork alongside data scientists to analyze online experiments and incorporate actionable insights into Lyra’s modeling approaches. Qualifications4+ years of industry experienceExpertise in machine learningAbility to write high-quality production code in PythonExperience delivering production-level machine learning models in an online settingStrong communication skills and ability to generate consensus and buy-in within the teamA track record of making high return-on-investment decisions in fast-paced environmentsPreferred QualificationsExperience using KubernetesExperience with a JVM coding language (especially Kotlin)Knowledge of Bayesian statistics or causal inferenceExperience delivering production LLM-based applications a plusExperience working with highly sensitive data in a healthcare environmentProtect yourself from recruitment fraudLyra Health does not use text or chat applications to conduct interviews or make job offers. We have a thoughtful and interactive interview process that primarily includes video-based interviews with our hiring teams. Communications will always be conducted from lyrahealth(dot)com or lyraclinical(dot)com domain names. Please disregard any other communications that do not include these domain names but appear to be from Lyra Recruiting.""We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice.""As a full-time Sr. Machine Learning Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $142,000 to $196,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.BenefitsAnnual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)L-yra for Lyrians; coaching and therapy servicesEquity in the company through discretionary restricted stock unitsCompetitive time off with pay policies including vacation, sick days, and company holidaysPaid parental leave401K retirement benefitsMonthly tech allowanceWe like to spread joy throughout the year with well-being perks and activities, surprise swag, free food, regular community celebration…and more!We can’t wait to meet you.",Mid-Senior level,Sr. Machine Learning Engineer
+626,2025-03-28,Boston,Massachusetts,Acceler8 Talent,http://www.acceler8talent.com/,"Acceler8 connects the top AI companies with the talent to scale fast, reach milestones, and secure funding so you can launch your AI products with confidence. We're at the forefront of connecting exceptional talent with ground breaking opportunities. We operate as the driving force behind visionary AI startups, actively shaping the future of technology across the Bay Area, Boston, New York, and beyond. 
+ 
+Our expertise spans a diverse array of tech specialties, including ML Research & Engineering, Software for ML Platforms, Semiconductor & Chip Design, Silicon Photonics, High Performance Computing, and Machine Learning Compilers. We serve as the catalyst for talent, ensuring that our clients have access to the most qualified professionals to propel their innovations forward. We'll build the team that turns your vision into reality.
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+Are you ready to Acceler8?🚀Contact us today! https://www.acceler8talent.com/contact-us/
+
+_____________________________________________
+
+Important Notice: Scam Alert Targeting Job Seekers
+ 
+We want to inform our network about a scam that is currently targeting job seekers through platforms like WhatsApp and LinkedIn. Please be aware that these messages are not from us or any of our employees. Rest assured, we are actively monitoring this situation and are taking it very seriously.
+ 
+If you have any doubts or concerns, please contact us directly through our official website https://www.acceler8talent.com/ or email us at info@acceler8talent.com. Please do not submit any personal information via links that are not from our official website.","Calling all ML engineers with a BSc from a top 25 CS program!!!🚀 Machine Learning Engineer – AI & Innovation📍 Denver | Hybrid (3 days in-office) | Relocation AvailableDo you have a background in ML? Thrive in high-impact AI environments? This is your chance to drive AI innovation with sensor fusion, computer vision, and cutting-edge ML techniques. This company values a strong educational background and sponsors a lab like environment full of experimentation and learning. They are open to hiring over a wide range of experience levels from junior to senior.Why Join?✅ Work on AI-driven sensor fusion & computer vision projects.✅ Collaborate with top AI engineers on complex, real-world challenges.✅ $120K–$180K + equity in a fast-growing, financially strong company.✅ Hybrid flexibility—Denver-based, with relocation support.What You’ll Do⚡ Develop & deploy ML models for object detection, classification & segmentation.⚡ Work with LiDAR, imaging & sensor fusion to push AI boundaries.⚡ Shape AI strategy—not just implement, but influence direction.What You Bring✔ BSc from a top 25 CS program—strong fundamentals matter.✔ More than just a model tweaker—you build & deploy real systems.✔ Deep Python & ML framework expertise—TensorFlow, PyTorch, OpenCV, etc.📩 Ready to make an impact? Apply now! 🚀",Mid-Senior level,Machine Learning Engineer
+627,2025-04-09,Irving,Texas,Spero Technology,http://www.spero-tech.com,"The reason Spero has grown a long list of loyal clients has little to do with our process or the logo on our business card. It’s because of our people. Armed with deep knowledge of their vertical, each member of our technical recruiting team works every day to uncover hidden talent.
+
+The demand for technical talent has never been greater or more competitive. We understand the unique landscape of technical talent, including how the right technical resource can make the difference. 
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+At Spero, diversity isn’t just a buzzword; it’s part of our belief system. As a Native American-owned business, we appreciate the contributions that diverse talent and suppliers make to our company and our clients. In fact, pushing our networking and partnering efforts in this direction allows us to find wonderful people others don’t, so our company and our clients benefit tremendously. That’s why we continue to pursue diverse talent for our clients, suppliers and our internal hires.","The Machine Learning Data Engineer plays a vital role in advancing strategic initiatives and operational efficiency through the development and deployment of data infrastructure and machine learning models. The position involves working within a Network Strategy and Innovation team to optimize operations and sustainability by leveraging advanced technologies and data-driven decision-making.Key responsibilities include:Data Infrastructure & Pipeline Development: Building and maintaining robust data pipelines that manage large datasets efficiently. The role involves creating backend infrastructure to support machine learning models and AI solutions, ensuring that they can handle and process data at scale.Machine Learning Model Deployment: Implementing and automating machine learning pipelines, monitoring models to ensure reliability, and integrating them into production environments. Close collaboration with data scientists is required to optimize models for better performance and scalability.Machine Learning & Analytics: Designing, developing, and deploying machine learning models and tools that can be used to improve operational processes within the system. The role also demands proficiency in Python, SQL, and other machine learning frameworks like TensorFlow or PyTorch.Basic qualifications include:Strong skills in Python and SQL with a focus on machine learning pipeline development.Experience with data visualization tools (e.g., Tableau, Power BI) to convey insights.Analytical abilities to manage complex data tasks and independently conduct analyses.Experience working with cloud platforms (AWS, Azure, GCP) and continuous integration/continuous deployment (CI/CD) tools.Preferred qualifications include:Advanced degrees in analytics, computer science, or related fields.Expertise in deep learning models and the full machine learning lifecycle.Familiarity with platforms like PySpark, Databricks, and relevant measurement systems.This role is essential for someone with a technical background in machine learning and data infrastructure, particularly those with experience in cloud environments, who wants to contribute to innovation and efficiency improvements.The company offers a competitive benefits package, including relocation assistance, health care options, a strong 401(k) plan, and wellness support. Access to discounts on travel, gym memberships, counseling services and wellness support. Annual bonus (Incentive Compensation Program) Generous leave / time off policies. They also emphasize diversity and equal opportunity in hiring.",Mid-Senior level,Machine Learning Data Engineer
+628,2025-03-31,New York,NY,The New York Times,http://www.nytco.com/careers,"The New York Times is powered by the idea that independent, deeply reported journalism fuels a healthy and engaged society. 
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+Our reporters, columnists, editors, engineers, designers, data analysts, developers and marketers breathe life into the most important topics of our time and tell stories that might otherwise go untold.
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+Whether bringing new truths to light with our reporting, building innovative products that deliver a best-in-class digital experience, or analyzing data to understand how we can best serve our readers, our people power the world’s top destination for journalism.
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+Working at The Times means envisioning and developing the future of journalism. Bring your passion, perspective and experience and join us as we seek the truth and help people understand the world. 
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+Check out our career opportunities (nytco.com/careers) and follow our page to connect with Times employees, journalists and readers.","The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About The RoleThe New York Times is looking for a Senior Machine-Learning Engineer to join our team focused on artificial-intelligence initiatives in the newsroom. The team prototypes internal and reader-facing applications of generative A.I. and other machine-learning techniques. Our goal is to develop powerful reporting tools and new forms of journalism for the benefit of our colleagues and our readers, while ensuring that our use of these technologies is always ethical and up to the standards of The Times.As a member of the team, you will brainstorm, evaluate, and prototype features and products that could improve internal workflows, reporting capabilities, and how The Times is presented to readers. The engineer will be responsible for building applications on top of machine-learning models to produce working prototypes. While expertise in machine learning and large foundational models is the most important technical skill for this role, the job also requires full-stack development experience and prior experience in media.The job reports to the editorial director for A.I. initiatives. You will also work closely with two machine-learning engineers, a designer and an editor. Together, our team partners with other members in the news, product and technology groups to conduct experiments and take the best ideas from prototypes to production. This role can be based in our New York City headquarters or fully remote in the US for candidates who do not live within a commutable distance of our officesResponsibilitiesBuild prototypes that use machine-learning techniques for the betterment of The Times news reportDevelop new algorithms, fine-tuning large-language models, and create other infrastructure for the team’s workCollaborate with the A.I. team and other desks in the newsroom to assess the value of each prototype and help determine those worth pursuing furtherStay up-to-date on the latest A.I. research and model development, to help inform the team’s work and spread technical proficiency throughout the organizationDevelop relationships with other technologists in the newsroom and on product teams, to learn from their existing work with A.I.Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.Basic Qualifications4+ years of software-engineering experience2+ years of developing applications with machine-learning modelsExperience in a newsroom or collaborating with journalists or other creative professionals on software developmentTechnical proficiency and recent experience working with large-language and transformer modelsDeep knowledge of machine-learning frameworksExperience evaluating the strengths and weaknesses of different A.I. modelsFull-stack engineering skills for developing front-end web applications and agents with server-side componentsPreferred QualificationsExperience fine-tuning machine-learning models at scaleAdvanced degree in computer science, data science, mathematics or a related fieldWe are looking for inveterate tinkerers, eager to experiment with a new API and share their findings with others. We favor demos over memos, prototypes over concepts, collaboration over silos, and learning over knowing it all. If these values resonate with you, please consider applying regardless of whether you meet all of the qualifications.In your application, please include at least two links to recent work with relevance to this role. If that’s not possible, please describe two recent projects with similar relevance.REQ-018023The annual base pay range for this role is between:$140,000 - $155,000 USDThe New York Times is committed to a diverse and inclusive workforce, one that reflects the varied global community we serve. Our journalism and the products we build in the service of that journalism greatly benefit from a range of perspectives, which can only come from diversity of all types, across our ranks, at all levels of the organization. Achieving true diversity and inclusion is the right thing to do. It is also the smart thing for our business. So we strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply.The New York Times Company is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable ""Fair Chance"" laws.For information about The New York Times' privacy practices for job applicants click here.Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at security@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.",Mid-Senior level,"Senior Machine Learning Engineer, A.I. Initiatives"
+629,2025-04-09,Foster City,California,Zoox,https://www.zoox.com,"Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.","High-definition semantic maps are a critical tool for enabling autonomous driving. We are looking for highly motivated individuals who are passionate about machine learning, computer vision, and machine perception. You will be part of our algorithm team with a diverse group of researchers and engineers, working together to build core machine perception algorithms to understand the natural environments and build semantic maps in an automated way.In This Role, You WillDesign and develop novel algorithms and ML models for 2D/3D machine perception in real-world environments.Leverage our large-scale ML infrastructure to speed up development and deployment of ML models.Stay up-to-date with the latest state-of-the-art research in computer vision and machine learning, and apply learned knowledge to improve our systems.Develop metrics and tools to analyze errors and understand improvements of our systems.Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Data Science, and more.QualificationsBS, MS, or PhD degree in Computer Science, Math or related fields.3+ years of industry or academia experience in related fields.Experience with training and deploying deep learning models.Experience with 3D computer vision and projective geometry.Proficiency in Python.Experience with deep learning frameworks such as PyTorch.Bonus QualificationsConference or journal publications in Computer Vision, Machine Learning or Robotics related venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICRA, RSS, etc.).Experience with high-definition (HD) maps.Experience with object detection, object recognition, semantic segmentation and/or semantic scene understanding.Experience with 3D reconstruction, SLAM and/or Structure from Motion (SFM).CompensationThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $196,000 to $246,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.",Not Applicable,Machine Learning Engineer - Mapping
+630,2025-04-03,Pleasanton,CA,BayOne Solutions,http://www.bayone.com,"BayOne is a minority-owned Technology and Talent Solutions Partner with a global footprint, headquartered in the San Francisco Bay Area. We excel at bridging talent and technology gaps, building strong teams in Project & Program Management, Cloud Computing, IT Infrastructure, Big Data, Software Engineering, User Experience Design, and more. Our commitment to customer success is matched by our passion for championing diversity in tech. We believe in sustainable practices and are dedicated to making a positive impact on the communities we serve. At BayOne, we’re more than a technology and talent partner—we’re a trusted ally in driving innovation and success. We are passionate about diversity in the tech industry and are dedicated to #MakeTechPurple. 
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+Our team will only email you via @bayone.com or @bayonesolutions.com email domains. ","👉 Note: This position is open only to candidates local to San Francisco, CA.Hiring: Data/ML Engineer – San Francisco, CA (Hybrid, 2 Days Onsite) | 12-Month ContractWe are looking for a Data/ML Engineer to join our team in San Francisco, CA. This role is hybrid (onsite 2 days per week, preferred) and offers a 12-month contract opportunity. If you're passionate about big data processing, cloud technologies, and MLOps, we’d love to hear from you!🔹 What You’ll Do:✅ Design and develop ETL/ELT pipelines for structured and unstructured data.✅ Build scalable data architectures on AWS, GCP, or Azure.✅ Optimize machine learning pipelines for training, validation, and deployment.✅ Work with data scientists to productionize ML models (MLflow, TensorFlow, PyTorch, Scikit-learn).✅ Implement MLOps best practices, including CI/CD pipelines for model deployment.✅ Develop real-time data streaming solutions (Kafka, Kinesis, Flink).✅ Automate workflows using Airflow, Prefect, or Dagster.✅ Ensure data quality, governance, and compliance with industry standards.✅ Monitor model performance and manage retraining pipelines.🔹 What We’re Looking For:✔ 3-7 years of experience in Data Engineering/ML Engineering.✔ Strong coding skills in Python, SQL (Scala/Java is a plus).✔ Expertise in big data frameworks (Spark, Hadoop, Dask).✔ Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).✔ Hands-on with containerization (Docker, Kubernetes).✔ Familiarity with feature engineering, feature stores, vector databases (Feast, Pinecone).✔ Proficiency in MLOps tools (Kubeflow, MLflow, SageMaker, Vertex AI).✔ Cloud experience (AWS S3, Lambda, SageMaker | GCP BigQuery, Vertex AI | Azure Synapse, ML Studio).✔ Experience with monitoring/logging tools (Prometheus, Grafana, ELK Stack).🔹 Bonus Points If You Have:⭐ Experience in Retail, Finance, Healthcare, or E-commerce.⭐ Exposure to A/B testing, recommendation systems, NLP applications.⭐ Understanding of data privacy regulations (GDPR, CCPA).",Mid-Senior level,Data/ML Engineer
+631,2025-03-13,Burbank,CA,Walt Disney Animation Studios,http://www.disneyanimation.com/careers,"Walt Disney Animation Studios, the studio behind ""Frozen,""​ ""Big Hero 6,""​ ""Zootopia""​ and ""Moana""​ brings imagination to life through animated films.  Our filmmakers and technologists work together to create the magic of animation. Bring your unique talents, passions and ideas to our team, and prepare to play in a creative and innovative environment.  
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+Visit www.disneyanimation.com for the latest news, openings, and more!","At Walt Disney Animation Studios we have a deep commitment to the philosophy that creativity inspires technology, and technology inspires creativity. Engineers in our Production Technology department are charged with developing and implementing new algorithms to solve unique and challenging problems for all of our animated content. We do this working alongside a user base that shares a collaborative environment with us, and uses the code we develop daily.We are looking for an engineer to join our Production Technology team, focusing on software development across multiple domains, from core libraries to user interfaces. In this role, you will partner with artists, production and technology leadership, technical directors, cross-team software engineers, and other technologists and researchers across Walt Disney Studios. You will be supporting, designing and implementing innovative workflows and state of the art solutions motivated by our new long-term vision for Walt Disney Animation Studios.Projects Include:Designing and implementing core infrastructure to manage our shot, environment, and asset definitions and structuresBuilding new APIs to allow for artist-facing and data management tools to more readily access shot contentExtending and improving the core libraries used for end-user asset authoringCreating user interfaces and tools for artists and technical directors to author, edit, access, and inspect shot and asset contentWhat does it mean to be a developer here at WDAS?Our engineers get the opportunity to work on the full stack of our tools, from developing the underlying algorithms through building intuitive artist-friendly interfaces.Work hand in hand with artists and a team of cross-site developers to make the tools we need for the incredibly complex characters/environments featured in our content.Develop on top of a highly performant, extendable in-house application framework.Develop new artist-centric interaction models using the latest hardware and technologies.You will be successful in this role if you have:A focus on writing performant solutionsExcellent problem solving, troubleshooting and debugging skillsAbility to collaborate with team members across different disciplines including directly interfacing with stakeholders to understand requirementsExemplary communication, teamwork and problem solving skills, balancing the timeliness of solutions with their sustainability. Able to collaborate with team and leadership to prioritize competing demands based on business value.Key Qualifications:Proficiency in Modern C++ (C++11 / 14 / 17 / 20+) and/or RustExperience with systems programming in a Linux environmentAbility to independently create simple, testable and robust code without LLM assistanceAt least 3 years experience designing and developing interactive toolsBS in Computer Science, Computer Engineering, Electrical Engineering, or related fieldBonus Qualifications:Understanding of computer graphics foundational concepts, and algorithmsKnowledge of animation, graphics techniques and algorithmsExperience building interfaces using the Qt UI toolkitExperience with the Open Universal Scene Description (OpenUSD) ecosystemExperience with scripting languages such as PythonStrong mathematical fundamentals, including linear algebra and numerical methodsStrong understanding of coding process, standards, continuous integration and testing principlesMasters in Computer ScienceThe hiring range for this position in California is $114,900-$154,100 per year based on a 40 hour work week. The amount of hours scheduled per week may vary based on business needs. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.",Mid-Senior level,Software Engineer - Core Software
+632,2025-04-01,Mountain View,California,Intuit,https://www.intuit.com/,"Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
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+We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations. ","OverviewJoin the Customer Data Platform (CDP) group as a Backend Software Engineer developing the core of customers insights for analytics, reports, GenAI and much more. If you love having stretch goals, real world challenges, and making customers incredibly happy whilst fostering your obsessive need for perfect code and user experience, this is the job for you.Join our innovative team to help build the next generation of awesome products andexperiences using cutting edge technology. You will collaborate with many teams in Intuit.We love engineers who lead the change, understanding the customers needs and delivering the most beautiful and intuitive applications.What you'll bring2+ years’ experience developing web applications at scaleExperience with:Large-volume data pipelinesWeb services (consuming or creating) with RESTBackend software development using Kotlin, Java Spring, or Spring-Boot to expose and consume RESTful web servicesUnit testing frameworks and mockingAt least one big data technologies e.g. kafka, flink, cassandra, redshift, bigqueryNoSQL and relational databasesKubernetes & DockerMicroservices architectureSelf-starter with a strong work ethic and a passion for problem-solvingA lead - not just technically skilled, but able to drive a project E2E and deliver it. Having a direct impact on the end-productSolid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiencesExperience working with cross-functional teams while maintaining effective working relationshipsBonus point:KotlinOpen SearchRed ShiftHow you will leadYou need to be self-motivated, proactive and a contributor of codeBe Agile, you will need to develop both BE and FE by the business needs and in high qualityAutomate processes, create tools, and build features that will improve everyone's experience with our data pipeline infrastructureBe able to read any code in an existing codebase and change itBuild and maintain strong cross-functional relationships /alignment with partners across the businessGathering functional requirements, developing technical specifications, and project and test planningAbility to work effectively in a fast paced, complex technical environment with high adaptability and flexibilityIdentify gaps and build a roadmap on how we can improve, keep a day one mindset.Communicates clearly and persuasively to all levels of employees, customers and managementWorking cross-functionally with various Intuit teams: Product Management, Experience Design, different product lines, or business units to drive forward results",Associate,Software Engineer 2
+633,2025-04-06,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Ads Targeting's goal is to help advertisers reach their desired audience and optimize advertisement performance. As a member of the Ads Targeting, Ads Core team, you will apply machine learning models to scale budgets by understanding user interest and intention, and build large-scale foundations for data processing and serving for next-generation ad targeting products. This team is working on a variety of products such as custom audience, interest, behavior, lookalike, auto targeting etc., as well as new innovative features.We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.What You'll Do Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the Tiktok ads monetization ecosystem. Build scalable platforms and pipelines for ads targeting products. Work with product and business teams on the product vision.QualificationsMinimum Qualifications: BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 3+ years of related experience. Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods. Strong coding skills, especially in Python/C++/Go. Experience with high-load systems. Familiarity with online experimentation and analytics. Familiarity with big data systems including Hadoop and Spark. Curiosity towards new technologies and entrepreneurship.Preferred Qualifications Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus. Understanding of the business value of online advertising. Experience with user modeling using deep learning methods from large scale datasets. Experience with privacy preserving modeling techniques is a plus. Experience in developing modern ads ranking/retrieval/targeting systems and recommender systems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer, Ads Targeting"
+634,2025-04-03,,,"Fenuz, Inc",,,"About Us:At Fenuz, Inc, we specialize in providing IT system training and support solutions to organizations, ensuring they are equipped with the tools and knowledge to maximize their technology. As we continue to innovate, we are looking for a skilled Machine Learning Engineer to join our growing team. In this role, you’ll leverage the power of machine learning to enhance our training programs, optimize support processes, and develop cutting-edge solutions that will help us provide even better services to our clients.Role Overview:As a Machine Learning Engineer at Fenuz, Inc., you will design, develop, and implement machine learning models and AI-driven tools that will enhance the efficiency and effectiveness of our IT support and training systems. Your work will directly impact the way our clients interact with technology, automating support tasks, personalizing training content, and driving actionable insights.Key Responsibilities:Model Development: Build, train, and deploy machine learning models that automate IT support tasks like issue classification, ticket routing, and system diagnostics.Data Analysis: Analyze large datasets to uncover patterns, forecast potential system issues, and improve system performance.AI Solutions for Training: Work closely with training teams to develop AI-driven solutions that personalize content and improve the learning experience for end-users.Collaboration: Partner with cross-functional teams to integrate machine learning models into IT systems and training platforms.Optimization: Continuously improve machine learning algorithms to ensure scalability, efficiency, and accuracy in production environments.Documentation and Reporting: Maintain thorough documentation for models, code, and processes to ensure reproducibility and ease of understanding for other team members.Qualifications:Proven experience as a Machine Learning Engineer, Data Scientist, or similar role.Strong proficiency in machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).Experience with data manipulation tools and libraries, such as pandas and NumPy.Knowledge of cloud platforms (AWS, GCP, Azure) and deploying machine learning models in cloud environments.Proficiency in programming languages like Python and R.Experience with natural language processing (NLP) or developing AI-driven tools, such as chatbots, is a plus.A solid understanding of model evaluation techniques and data processing methods.Ability to translate technical requirements into machine learning solutions.A degree in Computer Science, Data Science, Engineering, or a related field.Why Work with Us?At Fenuz, Inc., we believe in creating a supportive and inclusive environment where employees can thrive. Our comprehensive benefits package is designed to offer flexibility, promote well-being, and support your professional development.Benefits & Perks:Competitive Salary: $120,000 - $180,000 annually based on experience and qualifications.Health & Wellness:Comprehensive health, dental, and vision insurance for you and your family.Mental health support, including counseling services.Access to wellness programs and resources for physical and mental well-being.Flexible Work Environment:Remote work options with flexible hours to ensure a healthy work-life balance.Regular team-building events and social gatherings to stay connected.Professional Development:Annual stipends for training, certifications, and attending industry conferences.Access to online learning platforms to continuously enhance your skills.Retirement & Financial Planning:401(k) plan with company matching.Financial advisory services to help you manage your career and personal finances.Generous Paid Time Off (PTO):Vacation days, paid holidays, and sick leave.Paid parental leave to support you during family milestones.Employee Recognition:Performance bonuses and employee recognition programs to celebrate your contributions.Referral bonuses for bringing in top talent.Work-Life Balance:Paid volunteer days and the opportunity to give back to the community.Monthly wellness challenges and activities to support a balanced lifestyle.",,Machine Learning Engineer
+635,2025-03-10,Guangzhou,Guangdong,XPENG,https://www.xpeng.com/,"XPENG is a leading tech company that designs, develops, manufactures, and markets intelligent mobility solutions. We explore the diversity of mobility including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. We focus on creating a future of mobility that uses thoughtful and empathetic intelligence to improve the driving experience.
+XPENG is committed to in-house R&D, with almost 40% of our employees working in R&D-related areas helping to develop our expanding product portfolio. The Company has created a full-stack Advanced Driver Assistance System (XPILOT), as well as an intelligent operating system (Xmart OS) for an enhanced in-car experience. XPENG has also developed core vehicle systems for enhanced driving capabilities, including powertrains and advanced electronic architecture.
+XPENG is headquartered in Guangzhou, China with multi-regional offices in Beijing, Shanghai, Shenzhen, Silicon Valley, and San Diego. In 2021, the Company established its European headquarters in Amsterdam, along with other dedicated offices in Copenhagen, Munich, Oslo, and Stockholm. XPENG's EVs are manufactured at the fully-owned plant located in Zhaoqing, China. To further expand our production capacity, two new self-owned intelligent EV manufacturing bases in Guangzhou and Wuhan are under construction now.","XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.Job ResponsibilitiesFine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc.Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars.Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production.Work on efficient and effective ways to leverage large scale dataset and computational resource.Explore novel ways to generate synthetic data to improve the data diversity & quality.Communicate and align with different teams on product needs across the companyMinimum Skill Requirements:Ph.D in Computer Science or related fields.Solid background in machine learning, natural language processing (NLP), computer vision,speech or data.Experience in working with LLMsStrong python programming skills & software development, and strong experience with anymajor deep learning framework.Open-minded, collaborative and excellent communication skillsPreferred Skill Requirements:Deep understanding of language model modern architectures, ‘under the hood’ LLM training knowledge, quantization techniques, etc.Familiarity of large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc.Record of publications, innovations or leadership.What do we provide:A fun, supportive and engaging environmentOpportunity to make significant impact on transportation revolution by the means ofadvancing autonomous drivingOpportunity to work on cutting edge technologies with the top talent in the fieldCompetitive compensation packageSnacks, lunches, and fun activitiesThe base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.",Mid-Senior level,"Machine Learning Engineer - LLM, AI & Robotics"
+636,2024-11-04,San Francisco,CA,"Objective, Inc. (acquired by Upwork)",https://www.objective.inc,"A modern search platform that learns from human feedback.
+Say hi at hello@objective.inc","About Objective, Inc.Our mission here at Objective is to make search human. We're a search platform that empowers developers to add search that understands human intent to any web or mobile app. We power modern search experiences -- everything from retail search for companies like Pod Foods, to image search for companies like Dribbble, to article search for huge news sites like The Information. We power the developers that power the next generation of content relevancy.We're backed by Matrix Partners & Two Sigma Ventures, and our team are engineers and researchers from Apple, Google, Amazon (and other great companies) and have built some of the biggest ML & search systems in the world (that you've probably used!). Advances in AI and LLMs are changing the way the world searches, and Objective believes that powerful, modern AI-native search is a tool that should be in every developer's toolbelt.We're a fully-remote company, and believe that we get the best out of each other when we have the flexibility that remote work gives us.The RoleWe are hiring a machine learning engineer to help us develop the next generation of content understanding, search and recommendation. As a key member of the team you will have the opportunity to take ownership over several areas of the product:Stay up to date with the latest academic and industry research, continuously learn and apply cutting-edge techniques relevant to our search and recommendation technologyDevelop efficient and effective algorithms for adapting machine learning models to specific use casesRun experiments to optimize quality of deep learning systemsSystematically evaluate different approaches, build accuracy/performance reports and interpret their potential impact to our customer and business objectivesOwn machine learning experiments from initial idea to successful customer deploymentYou'll be joining as one of the key team members & will be critical to helping the team iterate and develop a product our customers love. This role is a great fit if you like moving quickly, can work across the stack when necessary and want a seat at the table making decisions about the future of the product & technology.Who you areTaking pride in your work, paying attention to detail, and deeply caring about the user experience, keeping the customer at the forefront of every decision.Being compassionate and helpful to others, enjoying working across the stack, building APIs and UIs to achieve goals.Quickly hitting the ground running, mapping out challenges and opportunities, and developing short and long-term improvement plans.Demonstrating strong ownership, driving tasks to success regardless of prior experience, and navigating ambiguity to deliver exceptional results.Always seeking better ways of doing things, experimenting with new tools and processes.Forming meaningful relationships wherever you go, earning respect and likability by valuing others.Actively seeking continuous feedback and being willing to share feedback across all levels of the company.Requirements & SkillsMS or PhD in Machine Learning, Natural Language Processing, Computer Science or related fields5-8 years experience as an Machine Learning EngineerDeep experience in deep learning, natural language processing and domain adaptationUnderstanding of unix, tcp/ip networking, storage system performance and concurrencyYou have demonstrated ability to quickly deliver project results in previous workTech stack: Python, Go, Pytorch, Tensorflow, AWS technologies5+ years of experience working with Python5+ years of machine learning experience3+ years working with cloud services (AWS, Lambda, RDS, S3, ECS/EC2, etc.)Nice to have:Bonus points for experience working on search, recommendation or personalization products.Bonus points for experience with multimodal representation learningBonus points for experience training LLMsAdditional Details:Must reside or work in the U.S. time zone, with a minimum requirement of PST+-3hrs.While we have an office in San Francisco, most of the team operates remotely.Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Objective we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.Objective provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.",Mid-Senior level,Machine Learning Engineer
+637,2025-04-09,SHERIDAN ,WY ,Aarna Software and Solutions LLC,https://www.aarnasoftware.com/ ,"Prospering in the industry for more than 10 years, Aarna Software and Solutions (ASAS) is the leading IT-staffing firm serving fortune 500 and 1000 companies. We, at ASAS, provide the best staffing and technology solution services to companies across the globe. Hiring top talents and helping them lead the best path to achieve their career goals is our topmost priority. Our cost-effective staffing and technology solution services have proved to be fruitful with time. Fast and affordable recruitment of the top talents is the reason why we are among the best recruitment services firms in United States. ASAS is a fast-growing, end-to-end IT-staffing services and solutions provider with clients in Financial Services, Technology, Communications & Media, Manufacturing & Retail, Energy and Utilities, and a variety of other industries. We provide clients with highly responsive and innovative solutions that help them integrate their IT strategy with their business goals and handle today's most pressing IT requirements. ASAS is a one-stop solution for all your staffing and recruitment requirements.","1 to 3 years of experience in machine learning and computer vision, with a proven track record in image processing and analysisProven hands-on experience in Python programmingProficient in programming languages relevant to AI/Client development ( TensorFlow, PyTorch)Strong proficiency in machine learning concepts and practical applicationFamiliarity with data analytics packages including pandas, NumPy, and scikit-learnIntermediate knowledge in statistics for data analysis and interpretationAbility to create insightful and visually appealing graphs using tools like Matplotlib or SeabornCollaborative mindset with excellent communication skills to work effectively in a teamhas context menuResponsibilitiesdevelopment and optimization of Computer Vision algorithms and Client modelsContinuously refine Client models to improve accuracyCollaborate with cross-functional teams to integrate AI/Client features into the applicationDevelop and maintain Python-based applications, leveraging expertise in Python programmingImplement and optimize machine learning models for data analysis and insights generationUtilize data analytics packages such as pandas, NumPy, and scikit-learn for efficient data manipulation and processingWork collaboratively with cross-functional teams to understand business requirements and translate them into technical solutionsApply intermediate knowledge in statistics to analyze and interpret complex datasetsCreate visually appealing graphs and visualizations to communicate findings",Entry level,Machine Learning Engineer
+638,2025-03-28,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","We are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. You will be part of our efforts to architect, design and implement a clean slate compiler for this activity and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts. You will contribute to a full stack development effort compiling PyTorch models down to binaries for custom hardware accelerator blocks.Software Engineer, Systems ML - Compilers Responsibilities:Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators.Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance.Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools.Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.Analyze and improve the efficiency, scalability, and stability of our toolchains.Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.2+ years experience developing compilers, runtime, or similar code optimization software.Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis.Experience in AI framework development or accelerating models on hardware architectures.Preferred Qualifications:Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow.Experience with machine-code generation or compiler back-ends.Experience working and communicating cross functionally in a team environment.Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Systems ML - Compilers"
+639,2025-03-31,Concord,Massachusetts,ERG,http://www.erg.com,"ERG is a multidisciplinary consulting firm offering a broad range of professional services. From offices across the country, we serve a spectrum of public and private clients, including federal agencies, state governments, corporations, and universities.","ERG is a research and consulting firm that provides a wide range of support to federal, state, and commercial clients. ERG offers multidisciplinary teams with nationally recognized skills in engineering, science, economics, public health, informational technology, and communications. We hire people with the best minds and then provide them with a vibrant and flexible environment in which to develop their careers. The qualified individual must be highly motivated with the skills to prioritize, perform, and communicate effectively in a fast-paced environment. ERG is seeking an experienced Data Scientist to independently develop and lead projects focused on information extraction from documents. This data scientist will be working within the newly established Product Impact group helping ERG build a key database of environmental product declarations and product category rules.Job Description:Lead the development and implementation of data extraction solutions from various document typesDesign, develop, and maintain algorithms and models for information extractionEnsure the integrity and accuracy of extracted dataPrepare technical design documents and specificationsConduct technical reviews of data extraction solutions created by others to ensure compliance with applicable standards, codes, and regulations, as well as end-user requirementsSupport the data extraction process from concept through delivery of the completed solutionCollaborate and communicate effectively with other stakeholders, both internal and external, and the development team (e.g., engineering department, IT department)Qualifications and Skills: A minimum of 3 years of experience in data science is required; 5+ years is preferredAt least three years of experience with information extraction from documentsExperience with machine learning and generative AI models and APIsProficiency in Python and relevant data science librariesExperience with cloud platforms, preferably Google Cloud Platform (GCP)Experience working with lifecycle assessment, greenhouse gas emissions data and/or supply chain platforms is a plusAbility to prioritize, perform, and communicate effectively in a fast-paced environmentERG offers competitive salaries and excellent benefits, including health and dental insurance, life insurance, long-term disability, educational benefits, FSAs, a generous 401k plan, profit sharing, an EAP, 11-20 paid vacation days per year, 10 paid holidays per year, 56 hours or more of sick leave (based on the state you work in) per year (pro-rated for part-time) and more. The salary range for all positions depends on the years and type of experience.   ERG is an equal opportunity employer and complies with all applicable EEOC regulations. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual preference, national origin, disability, or status as a protected veteran.     Please be aware, the only authentic corporate domain for ERG is https://www.erg.com.  ERG may, on occasion, screen applicants via telephone or video interviews via Skype, Teams, GoToMeeting, or another type of video platform. However, any candidate extended a job offer might be asked to meet in person with an ERG employee before providing confidential personal information associated with new employment.   If you’re a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access ERG’s online application process as a result of your disability. To request accommodation, please contact Human Resources via email at Resumes-Lex@erg.com or call (781) 674-7293.   ERG fosters a friendly, flexible work environment. ERGers are dedicated to serving clients who are committed to making the world a better place. We promote and recognize principles of fairness and respect in the work we do, the partnerships we foster, and the culture we value both within and outside of our organization. ",Entry level,Data Scientist
+640,2025-03-23,,,Disney Experiences,https://disneyconnect.com/,"Disney Experiences brings the magic of Disney stories and franchises to life through theme parks, resorts, cruise ships, unique vacation experiences, products and more around the world.
+
+Parks
+Disney Parks is one of the world’s leading providers of family travel and leisure experiences, with six resort destinations across the globe, including 12 theme parks, 55 resort hotels, and other unique vacation experiences.
+
+Experiences
+Disney Signature Experiences offers family travel and leisure experiences beyond theme parks inclusive of Disney Cruise Line, Disney Vacation Club, Aulani, A Disney Resort & Spa, Adventures By Disney, National Geographic Expeditions and Storyliving by Disney.
+
+Products
+Disney Consumer Products brings beloved brands and franchises into the daily lives of families and fans through products – from toys to t-shirts, apps, books, console games and more – on the Disney Store e-commerce platform and at Disney Parks, local and international retailers, as well as Disney Store locations globally.","If you are reading this, we can guess two things about you: You love to code, and you’re interested in Disney! So, would you like to combine these two together and begin your storytelling journey here at Disney?Within Disney Experiences (DX), storytelling is a part of every role! As a member of our team of talented engineers, you’ll help the Consumer Insights, Measurement and Analytics (CIMA) segment tell a story using data and guest focused insights.What you will do: You will help bring data to life! In this role, you will help translate digital guest data into useful metrics that create magical real-world experiences for our guests. Additionally, you will help investigate, recommend, and deploy the next generation of “big data” tools for CIMA and DX bringing our team and department into the future. Our team puts an emphasis on including all our members in discussions, architecture decisions, and software development, so your insights will be considered from day one.You will also help power the future of artificial intelligence across Disney Experiences by supporting and building high-quality data science pipelines that feed into our most advanced machine learning and Generative AI initiatives. You’ll work closely with data scientists, engineers, and analysts to make sure foundational data is accurate, scalable, and production-ready to support innovation and experimentation in areas like personalized recommendations, content generation, and guest experience enhancements.The Analytics (Data) Engineer reports to the Senior Manager of Data Services. Every day is different.What you will do: Support data pipelines critical to data science and machine learning workflowsContribute to cutting-edge Generative AI projects that bring innovation to life for our guests and cast membersDevelop data automation and requirementsAccurately identify root cause of issuesSupply quick defect fixesParticipate in a “stand up” status meetingDeploy solutions that match customer requirementsRegularly document changes and proactively updates progress in the request systemMake suggestions on new approaches to drive adoption, efficiency, quality, or reliabilityCommunicate effectively with technical and non-technical teams, in support of DX partnersFollow corporate policies and laws regarding software development, data privacy and securityIndependently learn new engineering practices to keep current with the latest technologyJoin your team for a fun-filled visit through Walt Disney World ResortRequired Qualifications & Skills 5+ years of experience in a Software Engineering role. Consistent self-motivation and passion for coding and data Excellent written and verbal communications skills Familiarity with Python and SQL Familiarity with version control concepts and tools (such as GitHub/GitLab) Understanding of SDLC (Software Development Life Cycle), Continuous Integration, Quality Assurance, and Agile Methodologies Dedicated to crafting an effortless user experiencePreferred Qualifications: Experience with Java, Springboot Framework, and/or R. Proficiency with Python and SQL Familiarity or experience with Cloudera Data Platform Ecosystem, PySpark. Understanding of Artificial Intelligence, Generative AI, and Machine Learning concepts. Experience building or supporting data pipelines for data science or machine learning applications Experience in Generative AI tools, models, or workflowsRequired Education: Bachelor's degree in computer science or related field.Preferred Education: Master's degree in computer science or related fieldOnsite requirements/expectations:4 days in office in Celebration, Florida#DISNEYTECH",Mid-Senior level,Analytics Data Engineer – A Data Engineering role focused on supporting digital analytics and Data Science teams.
+641,2025-03-30,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionThe Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer(SDE)/Machine Learning Engineer(MLE) to play pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs!Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry!So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this exhilarating adventure and let's revolutionize AGI together! #MLEKey job responsibilities Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs. Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications. Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.A day in the lifeAs a SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software.About The TeamJoin our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Master's degree in computer science or equivalent Experience in techniques like kernel fusion and custom kernels to improve GPU utilization, mixed precision training using lower precision and dynamic loss scaling while leveraging hardware specific mixed precision capabilities and/or demonstrated ability to implement efficient memory management like gradient (activation) checkpointing, gradient accumulation, offloading optimizer states, and smart prefetching.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2782056",Not Applicable,"Machine Learning Engineer, Amazon General Intelligence (AGI)"
+642,2025-04-01,San Mateo,California,Stash Hotel Rewards,https://www.stashrewards.com/travel/?utm_source=stash&utm_medium=social&utm_campaign=linkedin,"Stash Hotel Rewards (Stash) is the top-rated points-based loyalty program for independent hotels. Members can earn and redeem points for free nights at unique, independently-run hotels across the US, Canada, Mexico, and the Caribbean. Stash makes it easy for inspired travelers to break free from big, bland hotel chains and stay where they really want.
+
+Stash was founded on a belief in the happiness-producing power of traveling to places that convey a unique and interesting story – places with soul. It’s a belief shared with the independent hoteliers and the independently-minded travelers the company was created to serve. 
+
+Stash offers a collection of one-of-a-kind independent hotels – from distinctive business-class properties to landmark historic inns to top-rated resorts – in top travel destinations across the country. Recognized for their remarkable design, comfort, and service, many of the properties appear on the Best Hotels lists of the leading travel publications and have received some of the highest recommend ratings on popular travel sites.","About Stash Hotel RewardsWe’re a small company with a big mission: to bring independent travelers and independent hotels together. That’s why Stash Hotel Rewards was born.We’re in the travel business, so travel is one of our perks. Stash employees can stay at some of the best independent hotels for next to nothing. Which is easy to do, since we have no set vacation policy. We hire responsible people who get the job done on time, so we don’t need to watch over them. Our environment is casual and flexible — you’ll find us working from homes, coffee shops, and satellite offices. Our comprehensive benefits include a competitive salary, health and disability insurance, and a 401(k) plan.We need people who are autonomous, creative, super-smart, and fearless. And let’s not forget nice.OpeningTitle: Software Engineer - Front EndLocation: RemoteEmployment type: Full-timeOverviewStash Rewards is a leading loyalty program for independent hotels, offering travelers the opportunity to earn and redeem points at over 300 unique, highly-rated hotels across North America. Our program and services allow independent hotels to compete with large chains, reward their loyal guests, and promote direct booking practices. We are committed to delivering exceptional experiences to both our end-users and hotel partners through innovative and user-friendly technology solutions.ResponsibilitiesTechnology has always been integral to our company and this role, like all team members, plays a crucial role in our company’s development and future growth. You’re a super-smart, innovative front end software engineer who will help us execute Stash’s product vision. You will work closely with Stash Hotel Rewards team members to build smart solutions for independent hotels, Stash Members, and your colleagues.You will be responsible for developing and maintaining several Stash Rewards platforms, primarily contributing to user-facing interfaces. Stash is a collaborative workplace, so we are looking for a candidate who is excited to both apply their expertise to improving our front-end code base and provide constructive input and direction as we consider how future frontend features will look and function.In This Role, You WillDevelop and maintain the front end of Stash Hotel Rewards. As we overhaul and modernize our primary B2C site, which runs on a Rails monolith, you will help us decouple frontend and backend services to be more flexible and open to UI/UX improvements and future mobile app development.Enhance and support our partner portal, providing partner hotels access to educational materials, program tools, and data insights.Optimize tools for partner hotels to share Stash with their guests through digital channels, including our “inline enrollment” feature and “book direct” widgets.Work with members of our Marketing, Member Support, and Partner Advocate teams to review, plan, and implement future UI / UX and functional enhancements.Skills And RequirementsThe ideal candidate:3+ years of frontend development experience with proficiency in JavaScript, React, jQuery, and Bootstrap. Experience with Ruby on Rails development and component libraries like Telerik is a plusStrong understanding of responsive design, web standards, and cross-browser compatibilityExpertise working with frontend frameworks incl: familiarity with API integration and front-end architecture best practicesExperience developing consumer-facing applications within the travel / hospitality industry is a plusKnack for getting things done without sacrificing qualityStrong experience with agile software development techniques, developer driven testing, and highly automated test environmentsInquisitive, self-starting, and efficientExceptional problem-solving skills and an inclination to tap into the broader technology community to leverage existing solutions when applicableA business mind-set and team orientationBachelor’s degreeCompensation: From $95,000 to $130,000 per year",Mid-Senior level,Software Engineer - Front End
+643,2025-01-25,Corning,New York,Corning Incorporated,https://www.corning.com,"Corning is one of the world's leading innovators in materials science, with a 170+ year track record of life-changing inventions. Corning applies its unparalleled expertise in glass science, ceramics science, and optical physics along with its deep manufacturing and engineering capabilities to develop category-defining products that transform industries and enhance people's lives. Corning succeeds through sustained investment in RD&E, a unique combination of material and process innovation, and deep, trust-based relationships with customers who are global leaders in their industries. 
+
+Corning's capabilities are versatile and synergistic, which allows the company to evolve to meet changing market needs, while also helping our customers capture new opportunities in dynamic industries. Today, Corning's markets include optical communications, mobile consumer electronics, display technology, automotive, and life sciences vessels. Corning's industry-leading products include damage-resistant cover glass for mobile devices; precision glass for advanced displays; optical fiber, wireless technologies, and connectivity solutions for state-of-the-art communications networks; trusted products to accelerate drug discovery and delivery; and clean-air technologies for cars and trucks.
+
+Terms of Use: http://ow.ly/ObPiI","Requisition Number: 66496Corning is vital to progress – in the industries we help shape and in the world we share.We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers.The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies. Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes. IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.Data, automation and advanced analytics technologies are drastically transforming industrial manufacturers beyond point process automation to systemic, highly contextualized and data driven systems. Corning is building the foundational digital infrastructure for these company-wide efforts, and are looking for passionate, hard-working, and talented staff-level software engineers that will develop and enhance the data ingestion pipelines that are crucial to these efforts.Scope of PositionWe are seeking a seasoned AI/ML Engineer with a track record of designing and implementing machine learning methodologies and data science methodologies across various business units. This role will work with the business, define the problem, document and recommend the best solution through the use of ML/AI methodologies. You will be tasked with creating models, including but not limited to ARIMA, Prophet, XGBoost, Regression, Random Forest, Deep Learning Models, and Generative AI Models for given use cases that can scale across the enterprise.Responsibilities Develop and implement AI/ML data science methodologies and AI Products that align with business objectives.  Generate comprehensive whitepapers and reports to provide strategic recommendations on AI data science initiatives.  Design and implement various forecasting models to support business decision-making.  Work with Generative AI models and Language Models (LLMs) to solve complex business problems.  Build scalable AI/ML models for given use cases, including price elasticity and recommendation systems, ensuring applicability/reusability across multiple business units.  Participate in AI COEs (center of excellence) to drive governance and reusability as well as AI Products adoption.  Leverage tools such as Databricks and AWS SageMaker to manage data, build models, and deploy solutions.  Collaborate with stakeholders, understanding their needs and translating them into AI/ML solutions.  Continually monitor and evaluate the effectiveness of AI/ML models and forecasting techniques, making necessary adjustments to optimize performance.  Stay abreast of the latest AI/ML trends and technologies, identifying opportunities for innovation and improvement. Education And Experience Bachelor's degree in Computer Science, Statistics, Mathematics or related field is preferred.  10+ overall years of experience with minimum of 8 years of experience AI/ML data science, with a focus on strategy development and implementation. Required Skills Proven expertise in designing scalable AI/ML models and forecasting models like ARIMA, Prophet, LSTM, SARIMA, and XGBoost (experience in 2 models not all required)  Demonstrated experience with recommender systems, regression models, generative AI models, and Language Models (LLMs).  Demonstrated ability to generate whitepapers and in-depth reports, advising businesses on how to execute AI data science strategies.  Strong understanding of machine learning algorithms, data analysis, and statistical modeling techniques.  Excellent communication and presentation skills, with the ability to translate complex data insights into understandable and actionable recommendations.  Ability to Communicate well with users, other technical team to collect requirements, describe data modeling decisions.  Demonstrated programming proficiency in R or Python Desired Skills Understand concepts of big data engineering, ETL and ELT pipelines for data warehousing, on-premise and cloud data lake environments  Proficiency with tools such as Databricks and AWS SageMaker.  Familiarity with MLOps.  Experience with Sagemaker, Databricks, DBT, AWS platform services, including AWS S3 & EC2  Experience with Data Migration Services (DMS), RDS, EMR, RedShift, Glue, Lambda, DynamoDB, CloudWatch, CloudTrail a plus  Hands-on technical familiarity with Apache Spark architecture, S3, parquet and Delta Lake architecture, technologies and tools  Familiarity with agile software development & continuous integration + continuous deployment methodologies along with supporting tools such as Git (Gitlab), Jira, Terraform, New Relic  Familiarity with notebook environments including JupyterHub This is an excellent opportunity for an AI/ML Engineer who is passionate about driving business growth and innovation through data science. If you have the required experience and skills, we look forward to your application.This position does not support immigration sponsorship. The range for this position is $123,494.00 - $169,804.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO. Corning Puts YOU First! We are committed to supporting your health, financial, career development, and life goals as you grow professionally and personally to achieve your highest potential. All benefits begin as soon as you start your career at Corning. Our monetary peer-to-peer recognition program is tied to our Values and celebrates you and your colleagues’ contributions.  Health and well-being benefits include medical, dental, vision, paid parental leave, mental health/substance use, fitness, and disease management programs.  Financial benefits include a 401(k) savings plan with company matching contributions and a 100% company-paid pension benefit that grows steadily throughout your career.  Companywide bonus and attractive short- and long-term compensation programs are available based on your role and responsibilities.  Professional development programs help you grow and achieve your career goals. We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at accommodations@corning.com .",Entry level,AI/Machine Learning Engineer
+644,2025-04-08,Everywhere,,OKX,http://www.okx.com,"At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom.
+ 
+OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). 
+
+OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE. 
+
+We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features. 
+
+We believe in good sportmanship and the pursuit to be better. You may see our OKX logo neatly fitted on the McLaren F1 cars, Manchester City FC team shirts, or at the Tribeca Film Festival celebrating artists and creators. Wherever you may find us, you will notice our pursuit of making our world more efficient, transparent, and connected. 
+
+To learn more about OKX, download our app or visit: www.okx.com
+
+UK users follow: https://www.linkedin.com/company/okxuk/
+
+Learn more about working at OKG, the business group developing OKX, our Digital Assets Exchange, our Web3 portal and blockchain ecosystems: bit.ly/WorkingatOKG","Who We AreAt OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.About The OpportunityWe are seeking a highly skilled and experienced Senior and Staff Machine Learning Engineers to join our Risk Engineering Team. The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on.What You’ll Be DoingDesign, develop, and deploy machine learning models to detect and prevent fraudulent activities. Work closely with cross-functional teams to understand business requirements and translate them into technical solutions. Optimize existing machine learning systems for performance and scalability. Collaborate in the architecture and design of data pipelines and infrastructure to support machine learning workflows. Conduct research and implement new machine learning techniques and methodologies. Mentor junior team members and contribute to knowledge sharing within the team. What We Look For In YouAt least 3-5 years of experience in Machine Learning Engineering. Proficiency in Python and familiarity with Java. Solid understanding of common machine learning models, including experience with frameworks like LightGBM, XGBoost and transformer based language model. Experience with SQL and familiarity with common data products such as PostgreSQL, DynamoDB, Kafka, and Redis. Knowledge of at least one neural network framework, such as PyTorch, Tensorflow, JAX. Experience in building and maintaining data pipelines. Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Familiar with at least one major cloud services, like AWS, CGP, Azure or Alicloud Nice to HavesExperience in fraud detection, specifically in areas like bot detection, credit card chargeback prevention, and promotion abuse protection, is highly desirable. Perks & BenefitsCompetitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events OKX StatementThe salary range for this position is $92,426 to $238,513. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.",Mid-Senior level,Machine Learning Engineer
+645,2025-03-25,London,London,Lawrence Harvey,http://www.lawrenceharvey.com,"Lawrence Harvey, established in 2002, is an international recruitment business specializing in Technology recruitment. Our consultants are specialists in their specific fields of recruitment, therefore we have expert recruiters in Enterprise Applications, CRM, Data & Analytics, Security, Infrastructure & Development and Business Advisory & Strategy.
+
+We are part of a larger group business, LHi Group Ltd, which has multiple non-competing brands specializing in Life Sciences, Energy and The Built Environment.
+
+With multilingual consultants and offerings in UK, USA, France, Holland and the DACH region we have an unparalleled network across Europe and a global reputation for expertise. Our consultants are true specialists in their niche markets; their in-depth technical knowledge and experience sets Lawrence Harvey apart from our competitors. 
+
+Recently listed 8th in The Sunday Times ‘The Best 100 Companies to work for’, our investment in our people gives us the expertise and network to add real value to our relationships. With a focus on specialist markets and a consistent delivery of results, Lawrence Harvey is a client and candidate’s first choice, every time.
+
+Recent Achievements:
+2017 - Listed 8th in The Sunday Times 'Top 100 Best Companies to work for'​ 
+2015 – Listed 7th in The Sunday Times ‘Best 100 Companies to work for’
+2014 – Listed 34th in The Sunday Times ‘Best 100 Companies to work for’
+2013 – REC IRP AWARDS – Best Newcomer – Winner
+2013 – REC IRP AWARDS – Best Company to work for– Finalist
+2013 – REC IRP AWARDS – Back Office Team of the year – Highly Commended
+2012 – NATIONAL TRAINING AWARDS – Winner","Software Engineer (Backend/ML) - Early Stage Startup - San Mateo, CA (Hybrid)I am working with a firm that leverages AI to help B2B marketing teams scale personalized, omnichannel campaigns while ensuring brand consistency.We're after someone who doesn't just code, but crafts. Someone who enjoys solving customer problems and gets things done end-to-end. You should excel in:Python, AWS services and cloud architecturePostgreSQL and database optimizationDesigning and implementing RESTful APIsWriting clean, efficient, and maintainable codeBuilding scalable, distributed systemsThinking about system design holisticallyAt least 4 years of working experience (mix of startup and big company experience preferred)*No Sponsorship Opportunities Available at this Time*Software Engineer (Backend/ML) - Early Stage Startup - San Mateo, CA (Hybrid)",Mid-Senior level,Software Engineer (Backend AI/ML)
+646,2025-03-29,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionWe work on state of the art agentic systems built around Large Language Models (LLM). This is a fast paced dynamic environment to rapidly experiment and deliver scaled runtime solutions based on experiments and research based on LLM agents.As a Senior Machine Learning Engineer on the team, you will collaborate closely with science teams to bring research to production. This is a role that combines engineering knowledge (around machine learning, agent frameworks, computer vision), technical strength, and product focus. You will lead the design and development of novel ML systems, product integrations, and performance optimizations into production. While ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability, security and availability).Key job responsibilities Design, develop, test and deploy inference solutions for high-end LLMs Explore emerging inference optimization techniques Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems Own the development and operationalization of solutions deployed in production. Design model experimentation processes and frameworks in synergy with our scientists. Help the team grow and cultivate best practices in software development, MLOps, and experimentation.Basic Qualifications 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering teamPreferred Qualifications 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Development Center U.S., Inc.Job ID: A2921606",Not Applicable,"Machine Learning Engineer, AI/LLM, Amazon Shopping"
+647,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesThe Business Risk Integrated Control (BRIC) team is missioned to: Protect TikTok users, including and beyond content consumers, creators, advertisers; Secure platform health and community experience authenticity; Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.The BRIC team works to minimize the damage of inauthentic behaviors on TikTok platforms (e.g. TikTok, CapCut, Resso, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc. In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.Responsibilities: Build machine learning solutions to respond to and mitigate automated traffic to TikTok products/platforms. Such solutions include but are not limited to analyzing data collected by client-side security SDKs, anomalies in client environments and user behaviour. Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups. Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.QualificationsMinimum Qualifications: Solid engineering skills. Proficiency in Linux, Hive, Spark. Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning. Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.Preferred Qualifications: Bachelors or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors. 2 years of industry experience in a software development environment. Prior exposure to security and risk control solutions.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Entry level,"Machine Learning Engineer, TikTok Anti-Automation"
+648,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting-edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are also exploring how to leverage LLM to further enhance TikTok users search experience, potentially sharping the search engine for the next generation. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTokSuccessful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Online AssessmentCandidates who pass resume evaluation will be invited to participate in TikTok 's technical online assessment through HackerRank.Responsibilities: Search Engine Research and Development: Participate in the research and development of ByteDance's search engine. Utilize cutting-edge machine learning algorithms and vast amounts of data to create the most exciting technologies and provide users with the best search experience. Core Product Search Development: Contribute to the search development of core products like Toutiao and Douyin, serving hundreds of millions of users. Search Core Architecture Improvement: Web Search System: Design and develop data flows for web searches at the trillion-page scale, distributed indexing systems, and online retrieval systems. Create industry-leading retrieval architectures. Spider System: Design and develop services for real-time computing, scheduling, distribution, pressure control, and crawling in a trillion-page Spider system. Stability Solutions: Design and develop high-availability solutions for search engine stability, automated testing, and maintenance platforms. Innovative Architecture Implementation: Here, you can realize your architectural dreams without any historical burdens.QualificationsMinimum Requirements: Academic Background: Current undergraduate or graduate student graduating in 2025, majoring in Computer Science, Software Engineering, or a related field. Problem-Solving Skills: Excellent analytical and problem-solving abilities. Programming Skills: Outstanding coding skills, with a strong foundation in data structures and basic algorithms. Development Environment: Familiarity with Linux development environment and proficiency in at least one programming language such as C++, Java, Python, or Go.Preferred Requirements: Distributed Systems Experience: Prior experience in distributed systems development. Search Engine Technologies: Familiarity with search engine technologies and architectures. Machine Learning Knowledge: Understanding of machine learning algorithms and their application in search engines. Team Collaboration: Experience working in a collaborative, team-oriented environment.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job InformationAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Software Engineer Graduate (Data - Search - TikTok.US ) - 2025 Start (BS/MS)
+649,2025-03-30,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.Software Engineer (Robotics) Responsibilities:Work closely with researchers and cross-functional partners spanning multiple teams and disciplines to define technical goals and lead implementation.Collaborate with research scientists and engineers to design and implement state-of-the-art AI algorithms and models on real robot hardware and simulation environments.Design and conduct thorough evaluations of AI models on real-world robotic systems, identifying limitations, and proposing improvements to enhance their performance and robustness.Effectively communicate complex features and systems in detail to diverse stakeholders.Publish research results and contribute to research that impacts Meta product development.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.3+ years of experience in robotics or related field, or advanced degree with equivalent experience.Experience in robotics related research areas, such as: generative AI, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer, robotic control, manipulation, navigation, or generally embodied AI.Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc.Proficiency in programming languages such as Python, C++, or similar.Preferred Qualifications:PhD in computer science, robotics, AI, or related fields.4+ years of industry experience, or advanced degree with equivalent experience.Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV).Proven knowledge of robotics fundamentals (perception, planning, control)Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.Experience with generative AI, especially VLM.Experience building systems based on machine learning and/or deep learning methods.Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.Experience working and communicating cross functionally in a team environment.Experience with robot simulations and real-world hardware.Experience designing and developing new robotic systems, platforms or infrastructure.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,Software Engineer (Robotics)
+650,2025-04-02,Dallas ,TX,Sibitalent Corp,https://www.sibitalent.com/,"Sibitalent Corp is a fast-growing renowned IT, Software development, Staffing, and Consultancy firm based out of Murphy, TX with it’s delivery center based out of Noida, India with the sole purpose of delivering tailored and innovative IT solutions to its clients worldwide. If we talk about our IT Staffing services, it’s a one-stop recruitment solution where recruiters have the ability to think out of the box and render the best solutions to our clients to overcome their staffing challenges.
+
+Our expert recruiters with deep knowledge of technological and Managerial advances help organizations in a better understanding of customer's resource requirements. Their team-building effort and endless capabilities help people globally to develop a digital tomorrow. We believe in delivering customized and optimized mobile and web applications that help business organizations to leverage technology with increased ROI and reduced cost.
+
+Sibitalent Corp mission is to deliver cutting-edge solutions that thrive our client’s business values. We offer innovative solutions to various key vertical industries with a particular focus on.
+
+✔ Mobile App Development
+✔ Web Graphic and Design
+✔ Web Development
+✔ E-commerce Solutions
+✔ Digital Marketing
+
+Sibitalent Corp provides customized recruitment solutions based on needs of our client, our bouquet of offerings covers Permanent Staffing, Contract Staffing, RPO, Executive Search, Technical Assessments, Background Verification and many more.
+
+✔ Permanent Staffing
+✔ Talent Acquisition / Executive Search
+✔ Outsourcing and Consulting
+✔ Temporary Staffing
+✔ ERP Solutions
+✔ Payroll Management","Role: Machine Learning EngineerLocation : Santa Clara County, California, United StatesWork Type : Full timeRequirementsGood foundation and practical experience in executing multiple ML ProjectsStrong statistical background professionally or academicallyGraded Certifications or a degree in Machine Learning is a mustExpertise with ML concepts like: Classification algorithms, regression, clustering and semi-supervised learningExposure to ML ExplainabilityFamiliarity with Time Series concepts like AR, ARIMA, SARIMA, Exponential Smoothing, etcFamiliarity with Neural networks and time dependent neural networks like GRUs and LSTMs.Proficiency in utilizing any of the public cloud providers for designing, building and deploying enterprise grade ML solutions.15+ years of total experience with minimum 7+ years of relevant experienceGood To HaveHands on experience with MLOpsCreating end to end inferencing pipelines for monitoring concept drift and data driftExperience with NLP or Gen AIRecommender Systems",Mid-Senior level,"Machine Learning Engineer - Santa Clara County, California, United States"
+651,2025-03-24,Boston,Massachusetts,Cohere Health,http://www.coherehealth.com,"Cohere Health is a clinical intelligence company that provides intelligent prior authorization as a springboard to better quality outcomes by aligning physicians and health plans on evidence-based care paths for the patient's entire care journey. Cohere's intelligent prior authorization solutions reduce administrative expenses while improving patient outcomes. The company is a winner of the TripleTree iAward and has been named to both Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists. Cohere's investors include Flare Capital Partners, Define Ventures, Deerfield, Polaris Partners, and Longitude Capital.","Company OverviewCohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.Opportunity OverviewIn this role, you’ll join our growing team of world-class machine learning engineers and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices.Our ML team’s work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources.Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.What You Will DoDesign, develop and deploy advanced machine learning algorithms for retrieval, classification and generative use cases.Develop reliable and scalable production machine learning systems.Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deploymentWork cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives.Your Background And CharacteristicsYou have 2+ years experience in applied ML in the industry with a masters degree in computer science, machine learning, mathematics or a similar fieldClear understanding of model building, model maintenance and the measures that optimize models for production useUnderstand experimental design and can independently perform collection, measurement, and interpretation of resultsExpert in Python with experience in deep learning frameworks (e.g., PyTorch)Hands on experience building deep learning models (e.g., transformers) for NLP tasksBonus Points ForExperience with generative AI or Retrieval Augmented Generation (RAG)Experience working with unstructured healthcare data (e.g., clinical notes)Experience with OCR or image-based document understanding techniquesHands on experience using AWS tools such as SageMaker Studio We can’t wait to learn more about you and meet you at Cohere Health!Equal Opportunity Statement Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.The salary range for this position is $110,000 to $130,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.#BI-Remote",Entry level,Machine Learning Engineer II
+652,2025-04-02,San Francisco,California,Pinterest,https://www.pinterest.com/,"Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 550+ million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments. ","About PinterestMillions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.What You’ll DoBuild cutting edge technology using the latest advances in deep learning and machine learning to personalize PinterestPartner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areasUse data driven methods and leverage the unique properties of our data to improve candidates retrievalWork in a high-impact environment with quick experimentation and product launchesKeeping up with industry trends in recommendation systems What We’re Looking For 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)Nice to have:M.S. or PhD in Machine Learning or related areasPublications at top ML conferencesExpertise in scalable realtime systems that process stream dataPassion for applied ML and the Pinterest productRelocation Statement:This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.Information regarding the culture at Pinterest and benefits available for this position can be found here.US based applicants only$129,818—$267,272 USDOur Commitment To InclusionPinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.",Mid-Senior level,"Machine Learning Engineer, Core Engineering"
+653,2025-04-08,,,Morningstar Norway,http://www.morningstar.com/company/,Morningstar er en ledende leverandør av uavhengig investeringsanalyse. Vår målsetning er å lage gode løsninger som skal hjelpe investorer å nå sine finansielle mål.,"About The RoleWe’re looking for a seasoned Machine Learning Engineer to lead the Machine Learning function within the Marketing Intelligence Team at Morningstar. This role will play a critical role by setting the requirements for the ML models, building the data pipelines and flows to power the model, as well as output model data that can be visualized and shared to business leaders. You will have deep technical data engineering skills and vision to build the machine learning road map. You will ensure models align to business goals, and are responsible for refining methodologies, iterating on models, and fine-tuning the model output. You will share out model findings to business stakeholders and tune and monitor models. You will evangelize model findings and feature engineering insights to marketing stakeholders and facilitate opportunities for stakeholders to use model output to deliver stronger business outcomes.To foster continuous collaboration, we follow a hybrid policy of a minimum of 3 days onsite in our Chicago office.ResponsibilitiesBuild, fine-tune, and implement machine learning models to answer challenging business questions Ensure machine learning production pipelines are scalable, repeatable, and cloud agnostic Apply current and emerging techniques in deep learning, AI, and other machine learning areas Collect, clean, manage, analyze, and visualize large sets of data using multiple data platforms, tools, and techniquesOptimize and fine-tune ML models for performance and scalability. Analyze and interpret data to extract meaningful insights and improve ML models Maintain a database of model outputs, which will be used by the rest of the Marketing Intelligence team Integrate ML solutions into Marketing Intelligence workstreams Document and present findings and solutions to leaders and stakeholders RequirementsMaster’s degree preferred, ideally in statistics, finance, mathematics, engineering, analytics, or in a quantitative discipline 7+ years proven experience building data science models and executing data engineering work Extensive experience in machine learning and statistical techniques, including regression, classification, clustering, time series forecasting, text analytics, and causal inference, and scaling end to end solutions Expertise in marketing analytics & experimentation, such as Marketing Mix Modeling (MMM), Attribution Modeling, Lead Score Propensity ModelingProficiency in Python, R, and SQL, with strong scripting capabilities to process and transform data for modeling Strong background in big data processing and engineering using Apache Spark, PySpark, and Airflow, with experience in data lakes and warehousing solutions (Snowflake, Databricks, Redshift, BigQuery) Experience with MLOps and cloud platforms (AWS SageMaker, Bedrock, Google Vertex AI, Azure ML), with a track record of automating machine learning pipelines and building end-to-end ML products Hands-on experience with machine learning libraries, including Scikit-learn, Pandas, NumPy, Matplotlib, SciPy, Seaborn, XGBoostHands-on experience with deep learning frameworks (TensorFlow, PyTorch) Outstanding analytical and problem-solving skills with technical knowledge of setting requirements, working with complex data, and leveraging data stored across multiple data environmentsThe ability to solution alongside team members and thrive in a collaborative environment, and convey complex concepts in a clear and concise manner Compensation And BenefitsAt Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide-range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:Financial Health75% 401k match up to 7%Stock Ownership PotentialCompany provided life insurance - 1x salary + commissionPhysical HealthComprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coveragesAdditional medical Wellness Incentives - up to $300-$600 annualCompany-provided long- and short-term disability insuranceEmotional HealthTrust-Based Time Off6-week Paid Sabbatical Program6-Week Paid Family Caregiving LeaveCompetitive 8-24 Week Paid Parental Bonding LeaveAdoption AssistanceLeadership Coaching & Formal Mentorship OpportunitiesAnnual Education StipendTuition ReimbursementSocial HealthCharitable Matching Gifts programDollars for Doers volunteer programPaid volunteering days15+ Employee Resource & Affinity GroupsBase Salary Compensation Range$79,091.00 - 134,455.00 USD AnnualTotal Cash Compensation Range$87,000.00 - 147,900.00 USD AnnualMorningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, we’ve found that we’re at our best when we’re purposely together on a regular basis, typically three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.001_MstarInc Morningstar Inc. Legal Entity",Entry level,Machine Learning Engineer
+654,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOur team is responsible for designing and optimizing TikTok's content distribution and author growth mechanism to ensure the sustainable development of TikTok's content ecosystem. Our work involves optimizing large-scale recommendation algorithms, solving optimization problems with complex constraints, designing and implementing recommendation architectures for various scenarios, and conducting complex and in-depth analyses of product data. Here, you can drive deeper into the improvement and optimization of machine learning/deep learning algorithms, including but not limited to Mathematics, CV/NLP technology, multi-task learning, multi-modal technology, meta-learning, reinforcement learning, causal inference, metric learning, graph neural networks, active learning, life long learning, etc.Responsibilities - What You'II Do Build industry-leading recommendation system, improving user experience, the content ecosystem and platform security; Deliver end-to-end machine learning solution to address critical product challenges; Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.QualificationsMinimum Qualifications Bachelor degree or above in computer science or a related major, with 2+ years of related work experience; Strong software development experience with C++, Python or other programming language; Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product; Strong communication and teamwork skills; Passion about techniques and solving challenging problems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, TikTok Content Recommendation (Ecosystem & Cold-Start)"
+655,2025-03-14,Newark,CA,Intelliswift - An LTTS Company,https://www.intelliswift.com,"Intelliswift, an LTTS company, is a global leader in Digital Product Engineering, Data & AI, and Digital Enterprise Solutions. We empower businesses to leverage cutting-edge technologies and pioneering strategies throughout their digital transformation journey. Our expertise in data-rich modern platforms and people-centric solutions ensures that companies can navigate and thrive in the digital era. We address critical pain points across a diverse range of industries, including Platform & Technology, Fintech, MedTech, Energy & Utilities, Manufacturing, and Retail. Whether it's optimizing operational efficiency, enhancing customer experiences, or enabling digital transformation, we are committed to providing tailored solutions that meet the unique needs of each industry we serve.
+
+Guided by our core values of Transparency, Respect, Integrity, and Passion, we drive innovation and excellence at every step. As a certified Minority Business Enterprise (MBE), we are deeply committed to diversity, equity, and inclusion (DEI). This commitment is reflected in all our transactions and underscores our dedication to fostering an inclusive environment. Trusted by Fortune 500 companies, SMBs, ISVs, and fast-growing startups, Intelliswift is the partner of choice for organizations seeking to revolutionize and excel in the digital landscape.
+
+Learn more at www.intelliswift.com  
+","Job Title: Algorithm Developer/Machine Learning Engineer Location: Remote USADuration: 9 Months to start with Machine Learning Engineer (Algorithm Developer) must have industry experience working on a range of recommendation, classification, and optimization problems.Must-Have Skills 5+ years of consistent industry-level experience working with Machine Learning Engineer, AI, GenAIExperience with scripting languages such as Python, JavaScript or PHP Experience with developing machine learning models at scale from inception to business impactTrack record of successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesExposure to architectural patterns of large-scale software applicationsExperience with scripting languages such as Pytorch or TensorFlowC++ PreferredResponsibilityAdapt standard machine learning methods leveraging modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based modelsSuggest, collect, and synthesize requirements from teamsCode deliverables in tandem with the engineering teamMinimum Qualifications6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, JavaScript or HackExperience with developing machine learning models at scale from inception to business impactExperience with scripting languages such as Python, PHP, and/or shell scriptsExperience building and shipping high-quality work and achieving high reliabilityTrack record of successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred QualificationsMaster's degree or PhD in Computer Science or another ML-related fieldExposure to architectural patterns of large-scale software applications Experience with scripting languages such as Pytorch and TensorFlowC++ Preferred",Mid-Senior level,Machine Learning Engineer
+656,2025-01-23,Monmouth Junction,NJ,First Soft Solutions LLC,http://www.firstsoftsolutions.net,"When you hire First Soft Solutions, you're hiring a strategic technology consulting partner committed to helping you meet your unique business and technology objectives on time, on budget and with an optimal experience. We apply the expertise of our global community of technology experts, an unmatched portfolio of proven solutions, flexible delivery and a laser focus on the Microsoft enterprise platform to help you increase revenue, reduce costs and reinvest in innovation for competitive advantage. And we bring unique connections with our clients and Microsoft, enhancing our ability to deliver effective mission-critical solutions for organizations across all industries. When selecting an First Soft Solutions solution, you'll receive the best of our thinking and experience. Based on engineered, tested and reusable technology assets, our solutions are proven to help customers streamline operations, create new products and services, optimize collaboration across all groups and boundaries, and serve their customers better.","We are actively hiring for Senior Machine Learning EngineerFull time W2 requirement Minimum 8+ years of experience is neededMinimum of 8 years of experience in machine learning and deep learning (Python, scikit-learn, XGBoost).Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras.Hands-on experience in Natural Language Processing (NLP).Proficiency in software development practices, including Git, PEP-8 standards, and Python advanced programming techniques.",Mid-Senior level,Machine Learning Engineer
+657,2025-03-19,Minneapolis,MN,Target,http://www.target.com/careers,"Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.
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+For more information, visit corporate.target.com.","The pay range is $114,000.00 - $205,000.00Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.JOIN TARGET AS A SR MACHINE LEARNING ENGINEER - DFEAbout UsAs a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, develop talent by creating growth opportunities and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value and how we work. It’s how we care, grow, and win together. Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities.Join our global in-house Tech and Data Sciences team of more than 5,000 software engineers, applied data scientists, ML engineers and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests. We do so with a focus on diversity and inclusion, experimentation and continuous learning.As a Senior Machine Learning Engineer, you will join a Data Sciences team responsible for developing and operating a complex demand forecasting pipeline that delivers business-critical, detailed forecasts to downstream consumers. You will play a crucial role in designing, implementing, and optimizing machine learning solutions in production while ensuring the pipeline’s architecture, automation, testing, and validation. Machine Learning Engineers are expected to understand best-practice software design, participate in code reviews, and create a maintainable and well-tested codebase with relevant documentation. Additionally, candidates will have opportunities to design and develop additional tooling, such as REST APIs or streaming message queues, to deliver data to external consumers. You will also have opportunities to present work to technical and business leaders, conduct training sessions, and contribute learnings back to the organization. You will also build knowledge on business priorities and strategic goals, leveraging this understanding to inform requirements and solutions for each business need.Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.About You4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experienceMS in Computer Science, Data Science, Applied Mathematics, Statistics, Physics or equivalent industry experience3 plus years of experience in end-to-end software development or applied Machine LearningExperience deploying Machine Learning algorithms into production environments (VertexAI)Demonstrated programming experience in Python, Java or RGood understanding of Big Data tech - specifically in PySpark and/or Hadoop ecosystemExperience with CI/CD, various testing frameworks and containerization (Docker, Kubernetes)Ability to collaborate with product managers, data scientists and engineers to understand the business requirements and translate to machine learning solutions at scaleSelf-driven and results oriented - able to meet tight timelinesMotivated team-player with ability to collaborate effectively across global teamExperience in mentoring junior team members in ML skillset and career developmentThis position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target Sunnyvale location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.Benefits EligibilityPlease paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_DAmericans With Disabilities Act (ADA)In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com.Application deadline is : 04/27/2025",Mid-Senior level,"Sr Machine Learning Engineer - Forecasting Engine (Python, PySpark, VertexAI)"
+658,2025-04-04,Redmond,Washington,Microsoft,https://news.microsoft.com/,"Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. 
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+Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.","Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.Are you passionate about the idea of protecting over a billion people and making the world a durably safer place? The Microsoft Security Response Center (MSRC) is on the forefront of protecting the breadth of Microsoft’s customers from emerging threats to security and privacy.     The MSRC Data Science team is responsible in building data pipelines, reporting dashboards, data engineering, Machine Learning (ML) models and insights on security related data. We combine our data science work with business and engineering knowledge to provide unique insights into customer scenarios within Security. We are looking for a hands-on Data and Applied Scientist with experience to build reliable products and make business impact using Data Analysis, Data Engineering, Machine learning, Data Visualization, and more.  We are looking for a Data and Applied Scientist to partner with a wide range of Security leads and PMs, Engineers, and Data Scientists, build and deliver scalable BI and AI solutions. Candidate should be able to build robust BI, ML/AI data pipelines, leverage our data and infrastructure to deliver valuable solutions for our customers.Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.ResponsibilitiesModel Development & Deployment:Collaborate with data scientists and engineers to design, build, and deploy machine learning models at scale.Develop and maintain data pipelnes using MLOps/AIOPs pipelines to automate the end-to-end lifecycle of machine learning models (from development to deployment, monitoring, and retraining).Build data pipelines, ETL using Kusto queries and DAX to build leadership level metrics, KPIs, trends and visualizations using Power BI dashboards.Work on the integration of models into production systems while ensuring scalability, security, and performance.Model OperationalizationImplement CI/CD pipelines for ML models, ensuring smooth deployments with minimal downtime.Design and deploy robust monitoring and alerting systems for ML models in production to detect issues such as model drift or data skew.Implement model governance, version control, and logging systems to ensure compliance with internal standards and external regulations.Optimization & Scalability:Optimize machine learning models and pipelines for performance and cost efficiency (compute, storage).Manage infrastructure for ML workloads using cloud-native tools (Azure, Kubernetes, Docker) or other container orchestration platforms.Collaboration & CommunicationPartner with cross-functional teams, including Data Engineering, Product Management, and other Engineering teams to build cohesive solutions.Provide technical guidance to junior engineers and drive best practices for MLOps/AIOPS within the team.Security & Compliance:Work on securing models, data pipelines, and infrastructure in compliance with Microsoft's security standards.Ensure that the entire ML lifecycle adheres to privacy and compliance requirements (e.g., GDPR, CCPA).QualificationsRequired QualificationsBachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldOR equivalent experience. Experience with Azure Data Explorer(Kusto) Azure Machine Learning, Azure Fabric, Synapse, PowerBI or similar platforms.Knowledge of Data Pipelines. Other RequirementsAbility to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.Preferred QualificationsStrong understanding of data versioning, governance, and reproducibility in ML workflows.Knowledge of responsible AI practices, including fairness, transparency, and bias mitigation.Experience in Security domain area is a huge plus.  #LLM #GPT #ML #MachineLearning #AI #NLP #DSR #MSFTSecurity #MSRC  #Security #MSFTSecurity Data Science IC2 - The typical base pay range for this role across the U.S. is USD $81,900 - $160,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $105,600 - $174,600 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-payMicrosoft will accept applications for the role until April 9th, 2025.Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.",Not Applicable,Data and Applied Scientist
+659,2025-03-21,Santa Clara,CA,SeemaS,https://seemas.ai/,"At SeemaS, we’re transforming the corporate tax compliance landscape with our AI-driven platform, designed to simplify and streamline tax management for businesses worldwide. Our innovative solution autonomously handles complex tax compliance tasks, including tax planning, economic analysis, and global documentation. By harnessing the power of artificial intelligence, SeemaS reduces the burden of manual tax compliance, enabling companies to focus on growth and strategy. Whether navigating international tax laws or ensuring regulatory alignment, SeemaS delivers accuracy, transparency, and efficiency at every step. Join us in redefining the future of tax compliance.","About SeemaS, Inc.At SeemaS, we’re transforming the corporate tax compliance landscape with our AI-driven platform, designed to simplify and streamline tax management for businesses worldwide. Our innovative solution autonomously handles complex tax compliance tasks, including tax planning, economic analysis, and global documentation. By harnessing the power of artificial intelligence, SeemaS reduces the burden of manual tax compliance, enabling companies to focus on growth and strategy. Whether navigating international tax laws or ensuring regulatory alignment, SeemaS delivers accuracy, transparency, and efficiency at every step. Key ResponsibilitiesDesign and implement machine learning models to support financial data analysis, including predictive modeling, anomaly detection, and classification tasks.Collaborate with data engineers and software developers to integrate models into scalable production pipelines using AWS cloud services.Preprocess, clean, and structure large financial datasets for modeling and analysis.Optimize model performance and scalability, ensuring that solutions meet business and operational needs.Experiment with different algorithms, feature engineering techniques, and model architectures to improve prediction accuracy and efficiency.Develop robust validation and testing frameworks for models, including continuous integration and deployment pipelines.Monitor, troubleshoot, and fine-tune machine learning models post-deployment to ensure their accuracy and stability.Contribute to the development of new tools and methods to enhance model interpretability, explainability, and fairness.Basic QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related technical field.3+ years of hands-on experience working on machine learning projects, preferably in financial services, fintech, or compliance-related fields.Proficiency in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).Strong understanding of data processing, feature engineering, and model evaluation techniques.Preferred QualificationsExperience deploying ML models in cloud environments (preferably AWS) using services such as SageMaker, Lambda, Fargate, or ECS.Experience with data engineering pipelines, ETL, and large-scale data processing in distributed systems.Experience with NLP techniques for document extraction and financial text analysis.Familiarity with ML Ops practices such as model monitoring, retraining, and continuous deployment.Join Us in Redefining Tax ComplianceAt SeemaS, you’ll work on cutting-edge technologies, solve complex challenges, and contribute to groundbreaking products that redefine financial compliance and management. If you’re ready to take on this exciting journey, we’d love to hear from you!How to Apply Please apply using the following link: https://seemas.bamboohr.com/careers/24?source=aWQ9MTg%3D",,Machine Learning Engineer
+660,2025-04-01,,,"PTC Therapeutics, Inc.",https://ptcbio.com/,"PTC is a patient-centered biopharmaceutical company focused on discovering, developing & commercializing medicine for children and adults living with rare and serious disease.","Job Description SummaryWe are seeking an experienced and innovative Machine Learning Engineer to join our cutting-edge artificial intelligence team. The ideal candidate will be passionate about harnessing the transformative power of artificial intelligence to revolutionize diverse facets of the pharmaceutical industry, including drug discovery and development, clinical trial processes, and commercialization. Your contributions will play a key role in accelerating our mission to bring life-saving treatments to market more efficiently.The Machine Learning Engineer will be responsible for designing, implementing, and maintaining all components and layers of custom AI solutions, including databases, data processing, model development, testing, and front ends, where applicable. The focus of this role is to deliver autonomous solutions that accelerate business initiatives and productivity, while ensuring that the solution is maintainable and built-to-last.The Machine Learning Engineer ensures adherence to all relevant regulatory requirements and Company Standard Operating Procedures (SOPs) as appropriate.Job DescriptionESSENTIAL FUNCTIONSDesign, develop, and maintain machine learning models and algorithms to support company initiatives like enhancing business intelligence, drug development, and automation.Collaborate with interdisciplinary teams, including scientists, researchers, and engineers, to understand domain-specific challenges and integrate AI solutions effectively.Develop robust, scalable software for AI/ML applications in a regulated environment.Keep abreast of the latest AI/ML techniques and advancements.Ensure compliance with data privacy and security regulations.Participate in code reviews and maintain high standards for code quality and documentation.Knowledge/Skills/Abilities Required2+ years of experience in building end-to-end software solutions with hands-on exposure to all aspects of software and data engineering; including databases, data ingestion/processing, model development, and testing.Deep understanding of Python including aspects related to object-oriented programming and best practices / style guides for Python (PEP-8). Experience with PySpark is a plus.Experience with prompt engineering and the use of Large Language Models as a part of cohesive workflows (chain-of-thought, few-shot-prompting, etc.).Experience with common python prompting frameworks and techniques (langchain, sentence transformers, RAG, etc.)Experience with advanced string processing and vectorization algorithms, tools, and techniques (HNSW, semantic reranking, similarity heuristics)Experience working with statistics and large datasets is a plus.Experience with combining multiple frameworks and RESTful APIs is a plus.Excellent problem-solving, communication, and collaboration skills.Ability to translate complex technical concepts to non-technical stakeholders.Experience with version control systems such as Git.Ability to elicit and iterate over requirements with business partners, and to communicate technical concepts to non-technical audiences effectively.Analytical thinker with excellent critical thinking, problem-solving, and troubleshooting skills as well as the ability to adapt to changing priorities and deadlines.Excellent planning, organization, and time management skills including the ability to support and prioritize multiple projects. Minimum level of education and years of relevant work experience.Master’s Degree in Computer Science or related field, with a focus on AI & machine learning.Minimum of 2 years work experience in a role focused on developing AI / software solutions.PreferredExperience with Microsoft Azure and/or developing solutions for the biotech industry. Travel requirements0-10%Hybrid PositionEEO StatementPTC Therapeutics is an equal opportunity employer. We welcome applications from all individuals, regardless of race, color, national origin, gender, age, physical characteristics, social origin, disability, religion, family status, pregnancy, sexual orientation, gender identity, gender expression, disability, veteran status or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.Click here to return to the careers page",Entry level,Machine Learning Engineer
+661,2024-10-25,Wilmington,Delaware,Accroid Inc,https://accroid.com,"Accroid Inc is a nationwide employment and service provider committed to enabling individuals. We firmly believe that everything is possible when we work together, and we continuously seek out opportunities to make a positive difference in the lives of others.
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+At Accroid, doing what is right has always been a top priority for our co-workers, client partners, and communities. We foster an inclusive culture that empowers our staff to deliver their best work. We are not just a high-performing team; we are a supportive and tight-knit family. We genuinely care for one another, fostering strong relationships and upholding our culture's dedication to compassion.
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+Solutions for Your Business, Powered by People:
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+We believe that people are the driving force behind successful businesses. By harnessing the power of technology and leveraging our expertise, we help businesses unlock their full potential, streamline operations, enhance efficiency, and achieve their goals. Our dedicated consultants work hand in hand with your organization to ensure that technology seamlessly aligns with your business objectives, delivering tangible and measurable results.
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+Stay connected with Accroid Inc on LinkedIn for the latest industry insights, updates on our innovative services, and exciting opportunities to collaborate. Together, we can shape a brighter future for individuals and businesses, transforming possibilities into realities.","Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Excellent problem-solving skills and the ability to work in a fast-paced environment.Strong communication skills, with the ability to present complex concepts to non-technical stakeholders.",Mid-Senior level,Senior Machine Learning Engineer
+662,2025-03-11,San Francisco,,Ema Unlimited,https://ema.co/,"Ema is an enterprise partner of choice in building and deploying Agentic AI solutions. We are:
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+›› Simple - Conversationally build AI employees that learn and excel beyond human limits. Multiply your workforce in minutes, not months.
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+›› Trusted - Take control back by replacing 100s of vulnerable co-pilots with Ema’s secure and compliant AI Employees. Ema can be deployed both on-cloud and on-prem, and is compliant with industry-leading standards, including SOC 2 Type I & II, HIPAA, GDPR, ISO 27001, NIST CSF, NIST SP 800-171, and NIST AI RMF. We are also one of the world's only companies to be certified ISO 42001, the world's first AI management system standard.
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+›› Accurate - Achieve the highest accuracy at the lowest costs and latency with Ema’s proprietary 2T+ EmaFusion (TM) model, built for wide-ranging enterprise use-cases. Get the power of 100+ LLMs at your fingertips. 
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+Experience the future of work with Ema, every enterprise’s best performing employee. Hire Ema today.","Who We AreEma is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google).Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. Most of our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology.Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from our Mountain View, CA office three days a week.Who You AreWe're looking for innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact.You WillConceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems.Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.Minimum QualificationsA Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.At least 2 years of industry experience in building and deploying production-level machine learning models.Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.Ideally, You'd HaveExcellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.Familiarity with cloud platforms like GCP or Azure.Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects.Good understanding of software development principles, data structures, and algorithms.Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.The ability to work collaboratively in an extremely fast-paced, startup environment.For California Based CandidatesThe standard base salary for this position is $135,000 to $200,000 annually.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.",Entry level,Machine Learning Engineer
+663,2025-03-08,Austin,TX,Four Hands,www.fourhands.com,"Welcome to Four Hands. For over 25 years, we've been a leading designer and wholesaler of well-crafted furniture and décor, helping people create spaces that feel like home.
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+Founded in Austin in 1996, Four Hands has international offices in China, India, Vietnam, Mexico, Indonesia, and showrooms in High Point, North Carolina, Las Vegas, Nevada, and Austin, Texas. Our team enthusiastically supports the growing needs of large retail chains, as well as independent regional stores and interior designers.  
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+Our pieces are unique to us — the product of careful trendspotting, selected materials and innovative design techniques for an ever-expanding assortment. Our trade customers have 24/7 online access to 6,000 design-forward products, from living and dining room to art, outdoor, accessories, and more.  
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+Receiving numerous recognitions and accolades, including ranking in the Inc. 5000 list 14 times, Four Hands is one of the most dynamic companies in the furniture industry today. We hire the most experienced people in the industry and talented individuals with robust backgrounds to bring a fresh approach to the furniture business. As a team, we actively challenge ourselves on the notion of what’s possible. The only thing we take more seriously than doing great work is having great fun.  
+","Department: Early CareersLocation: Austin, TexasDescriptionJoin one of the fastest growing, most dynamic companies in the furniture industry. For over 25 years, Four Hands has been a leading designer and wholesaler of furniture and décor, helping people create spaces that feel like home.Consistently ranked on the Inc. 5000 list of fastest-growing companies, we've also been voted as one of Austin's Top Workplaces in 2021, 2022, 2023 and 2024 by Austin American-Statesman.We invest in exceptional people — with a team of over 800 and growing — fostering our employees' careers and celebrating them at every step of the way.Headquartered in Austin, Texas, with showrooms in High Point and Las Vegas, we have additional offices in China, India, Indonesia, Mexico and Vietnam.As a Software Engineering Intern, you will work closely with our experienced developers on various projects, gaining hands-on experience in coding, debugging, and software design.This position is expected to start May 2025 and continue through the entire Summer 2025 term (through August 2025). Our internships are a minimum of 10 weeks, part-time and on-site.In This RoleWork closely with the business to identify and implement improvements to our systemsAssist in the integration of data to and from the warehouse management systemContribute to the development, testing, and debugging of software applicationsHelp develop and maintain database objects and structures for efficient data storage, retrieval, and reportingAssist in recommendations for application changes, document software specifications and train usersBe an active team member working both independently and collaboratively with the groupStay updated on software development trends, technologies and toolsetOther duties as assigned by ManagementUphold our Core Values and be a valuable member of the Four Hands team:Be open and honestReach for excellenceAct with responsibilityValue the whole personEnjoy the journeyThe Ideal PersonPursuing a degree in Computer Science, Information Systems, IT business Management or related fieldKnowledge of database queries and Visual Studio or Eclipse is a plusKnowledge of ERP systemsProficiency in one or more programming languagesKnowledge of software development methodologies, object-oriented programming (OOP), and design patternsInternship Program at Four Hands The Internship Program is aimed to provide students with hands-on experience in the area they are most passionate about. Interns at Four Hands have the opportunity to work closely with various departments to gain valuable knowledge about the company. The program focuses on professional development, offering mentorship from like-minded professionals and the chance to contribute to real projects. Interns are encouraged to bring innovative ideas to make the experience challenging and rewarding. This program will enable students to gain the skills and knowledge needed to succeed in their future careers.",Internship,Software Engineer Intern
+664,2025-04-01,Palo Alto,CA,Glean,https://glean-it.com/glean,"Work AI for all. 
+
+The Work AI platform connected to all your data. Find, create, and automate anything.","About GleanWe’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work.We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. We’re a diverse team of curious and creative people who want to help each other get big things done—so we can help other teams do the same.We're backed by some of the Valley's leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.RoleGlean is looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including generative AI, RAG, query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems.What You Will Do And AchieveDesign, build, and improve ML systems and infrastructureWork with and enable other ML engineers focused on modelingWrite robust code that’s easy to read, maintain, and testMentor more junior engineers, or learn from battle-tested onesWho You Are5+ years of experienceBA/BS in computer science, math, sciences, or a related degreeExperience working with ML infrastructure and engineering for search, recommendation, natural language processing, or something similarKey Knowledge And SkillsProven ability to design, build, and ship production-ready software, ideally around ML infrastructure (pipelines, serving, GenAI)Strong coding skills (Python, Go, Java, C++, ...)Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a mustA proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large featuresBenefitsCompetitive compensationMedical, Vision and Dental coverageFlexible work environment and time-off policy401kCompany eventsA home office improvement stipend when you first joinAnnual education stipendWellness stipendHealthy lunches and dinners provided dailyFor California Based ApplicantsThe standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.",Entry level,"Software Engineer, Machine Learning (Infrastructure)"
+665,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Our team is responsible for developing state-of-the-art NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform. More specifically, our team is responsible for the algorithms of Product Knowledge Graphs under TikTok's global e-commerce business.What You Will Do: Participate in the development of massive knowledge graphs of real-world products to support feed ranking, recommendations, and ads. Collaborate with product managers, data scientists, and the product strategy & operation team to define product strategies and features.Responsibilities: Knowledge graph construction, including product/content/feedback understanding and category/brand/SPU construction. Construct knowledge graphs of buyers and products.QualificationsMinimum Qualifications: Bachelor's degree in Computer Science or related technical field 3+ working experience in one of the following fields: machine learning, NLP, and computer vision Experience with software development in at least one of the following programming languages: C++, Python, Go, Java Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.Preferred Qualifications: Proficient in using at least one mainstream deep learning frameworks such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods. Experience in text classification, text matching, sequence labeling, knowledge graph. Aware of certain processing methods and optimization experience on domain adaptation, small sample construction, text mining, unsupervised/semi-supervised and other similar issues. Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT, etc.), have practical experience in deep learning training and reasoning model tuning. Experience in large-scale text data processing or cleaning (Such as using Hadoop/Spark/Hive/Flink).TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at dataecommerce.accommodations@tiktok.com.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, NLP - TikTok E-commerce Knowledge Graph"
+666,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Ads Targeting's goal is to help advertisers reach their desired audience and optimize advertisement performance. As a member of the Ads Targeting, Ads Core team, you will apply machine learning models to scale budgets by understanding user interest and intention, and build large-scale foundations for data processing and serving for next-generation ad targeting products. This team is working on a variety of products such as custom audience, interest, behavior, lookalike, auto targeting etc., as well as new innovative features.We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.What You'll Do Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the Tiktok ads monetization ecosystem. Build scalable platforms and pipelines for ads targeting products. Work with product and business teams on the product vision.QualificationsMinimum Qualifications: BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with related experience. Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods. Strong coding skills, especially in Python/C++/Go. Experience with high-load systems. Familiarity with online experimentation and analytics. Familiarity with big data systems including Hadoop and Spark. Curiosity towards new technologies and entrepreneurship.Preferred Qualifications Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus. Understanding of the business value of online advertising. Experience with user modeling using deep learning methods from large scale datasets. Experience with privacy preserving modeling techniques is a plus. Experience in developing modern ads ranking/retrieval/targeting systems and recommender systems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Ads Targeting"
+667,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technologyPreferred Qualifications 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2917619",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center - Model Customization"
+668,2025-03-26,Mumbai,Maharashtra,Tata Consultancy Services,https://www.tcs.com/,"Tata Consultancy Services (TCS) is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys since its inception in 1968. Our consulting-led, innovation-driven services help businesses evolve as perpetually adaptive enterprises, staying ahead in an ever-changing digital landscape. Recognized for excellence in software development, we rapidly apply and scale new technologies, driving long-term value and scalable transformation. Many of these relationships have endured for decades, navigating every technology cycle from mainframes in the 1970s to Artificial Intelligence today.
+ 
+A part of the Tata Group, India’s largest multinational business group, TCS has a highly skilled workforce of over 607,000 consultants in 55 countries and 180 service delivery centers across the world.
+ 
+Caution against fraudulent job offers: TCS doesn’t charge any fee throughout the recruitment process. Refer here: https://www.tcs.com/careers/india/recruitment-fraud-alert","We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/ML.Candidate must have strong NLP exp. Automate end-to-end ETL/ML pipelines with structural understanding of data products. Automate, deploy and maintain ML pipelines into existing cloud resources. Work with team members to assist with data-related technical issues and support their data product needs. Work with team members to evaluate and improve existing ML system and models.Required Skills A background in computer science, engineering, mathematics, or similar quantitative field with a minimum of 2 years professional experience Strong Python/Java programming skills Experience in implementing data pipelines using python Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or Oozie Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies Experience with query APIs using JSON, ProtocolBuffers, or XML Experience with Unix-based command line interface and Bash scriptsOptional Skills Experience with computer vision or natural language processing a plus. Database development experience with Relational or MPP/distributed s ystems such as Oracle/Teradata/Vertica/Hive a plus Data visualization or web development skills a plusSalary Range : $63,400-$137,000 a year",Entry level,Machine Learning Engineer
+669,2025-03-07,San Francisco,CA,Instacart,https://www.instacart.com,"Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop. The company partners with more than 1,500 national, regional, and local retail banners to facilitate online shopping, delivery and pickup services from more than 85,000 stores across North America on the Instacart Marketplace. Instacart makes it possible for millions of people to get the groceries they need from the retailers they love, and for approximately 600,000 Instacart shoppers to earn by picking, packing and delivering orders on their own flexible schedule. The Instacart Platform offers retailers a suite of enterprise-grade technology products and services to power their e-commerce experiences, fulfill orders, digitize brick-and-mortar stores, provide advertising services, and glean insights. With Instacart Ads, thousands of CPG brands – from category leaders to emerging brands – partner with the company to connect directly with consumers online, right at the point of purchase. With Instacart Health, the company is providing tools to increase nutrition security, make healthy choices easier for consumers, and expand the role that food can play in improving health outcomes. For more information, visit www.instacart.com/company. ","We're transforming the grocery industryAt Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.OverviewSince 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.About The TeamThis is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:Search & Discovery ML: The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).Economics team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.Content AI Team: The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you'll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you're excited about building state-of-the-art AI systems, we’d love to have you on board!Past Internship Contributions IncludeTensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper)Enhancing sequence-based recommendations for long-tail products (Blog)About The JobBased on your passion and background, you may choose to work in a few different areas:Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.Search relevance and ranking - Improving search relevance by incorporating signals from various sources.Ads quality, pCTR, etc. - Improving ads revenue and ROAS.Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.Fraud detection and prevention - Using cost sensitive learning to reduce loss.Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.About YouMinimum Qualifications:Ph.D. student in computer science, mathematics, statistics, economics, or related areas.Strong programming (Python, C++) and algorithmic skills.Good communication skills. Curious, willing to learn, self-motivated, hands-on.Preferred QualificationsPh.D. student at a top tier university in the United States Prior internship/work experience in the machine learning spaceInstacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.Offers may vary based on many factors, such as candidate experience and skills required for the role. Please read more about our benefits offerings here.For US based candidates, the base pay ranges for a successful candidate are listed below.CA, NY, CT, NJ$50—$50 USDWA$47.50—$47.50 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$45—$45 USDAll other states$42—$42 USD",Internship,"Machine Learning Engineer, PhD Intern"
+670,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications Experience programming with at least one software programming language 3+ years of non-internship professional software development experience Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Hands-on experience with generative AI technologyPreferred Qualifications Bachelor's degree in computer science or equivalent Hands-on experience with at least one ML library or framework 1+ years of experience in developing, deploying or optimizing ML models. 2+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2918741",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center"
+671,2025-02-25,Munich,Bavaria,XPENG Deutschland,https://www.xpeng.com/de,"XPENG is a leading electric vehicle company headquartered in Guangzhou, China with offices in the US and Europe. The company is committed to driving the transformation of smart EVs through technology and shaping the mobility experience of the future. To optimize the mobility experience of its customers, XPENG develops in-house comprehensive technology for advanced driver assistance systems and in-vehicle intelligent operation system, as well as the core systems of the vehicle, including the powertrain and electric/electronic architecture.","XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.We are looking for a full-time Machine Learning Engineer, with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure for training very large foundation model and accelerating model training/inference.Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.Job ResponsibilitiesDesign, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles. Minimum Skill RequirementsMaster in CS/CE/EE, or equivalent, with 1-3 years of industry experience. Good knowledge of PyTorch. Knowledge of model training framework (e.g. PyTorch Lightning) Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models. Experience of using pytorch ddp for distributed training of models. Preferred Skill RequirementsStrong publications records in top academic conferences or journals, e.g. CVPR, NeurIPS, ICML, ICCV, ECCV, ICLR Experience in training large scale vision or language models Previous experience in the autonomous driving industry. Being efficiently in solving complex problems collaboratively on larger teams What Do We ProvideA fun, supportive and engaging environment Infrastructures and computational resources to support your work. Opportunity to work on cutting edge technologies with the top talents in the field. Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving Competitive compensation package Snacks, lunches, dinners, and fun activities The base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.",Entry level,Machine Learning Engineer - Foundation Model
+672,2025-04-03,San Jose,CA,Zoom,www.zoom.com,"Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom AI-first work platform you know and love. 💙
+
+Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, Contact Center and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.
+
+We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you'll find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
+
+Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home","Machine Learning EngineerWhat You Can ExpectAs a Machine Learning Engineer on our GenAI Engineering team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. You'll take the lead in developing and enhancing AI algorithms, techniques, and solutions for our AI Companion product. Working closely with experienced researchers and engineers, you'll be part of a dynamic team dedicated to achieving groundbreaking results.About The TeamThe GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion functionalities. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.ResponsibilitiesDesigning, implementing, and optimizing GenAI algorithms, techniques, and solutions to address complex business challenges.Collaborating with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.Participating in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.Identifying opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.Staying up-to-date with the newest developments in GenAI research and engineering to continuously improve our technical capabilities.What We’re Looking ForPossess a degree in Computer Science, AI, Machine Learning, Distributed Systems, or a related field.Be proficient in one or more programming languages such as Python, C, C++, or CUDA, with experience in building scalable software systems.Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.Demonstrate AI dedication through sharing academic or personal AI projects and enthusiasm for new possibilities.Able to effectively collaborate with cross-functional teams and present technical concepts to both technical and non-technical audiences.MinimumSalary Range or On Target Earnings:$127 700,00Maximum$255 400,00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.We also have a location based compensation structure; there may be a different range for candidates in this and other locationsAt Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!Anticipated Position Close Date05/01/25Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.Our Commitment We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.",Not Applicable,Machine Learning Engineer - AIC Core
+673,2025-03-25,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
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+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAmazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.Amazon's Sponsored Products advertising business is one of the fastest growing areas in the company. The Ads Response Prediction team owns multiple critical services and applications that empowers personalized Ads recommendations in Sponsored Products. We apply state-of-the-art deep learning and LLM based methods on Click-through-rate (CTR) prediction, with a mission of improving both shopper and advertiser experiences. By developing and using real-time shopper understanding signals, deep product embeddings and LLM-based insights, we provide personalization power for the entire Ads business within Amazon.As a Software Development Engineer in Machine Learning in this team, you will drive the technical direction of our offerings and solutions, working with many different technologies across the sponsored products organization. You will design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems. You will work closely with applied scientists to optimize the performance of CTR prediction models and infrastructure, and implement end-to-end solutions. What you create is also what you own.The business and technical challenges are significant. Fortunately, we have a broad mandate to experiment and innovate, and a seemingly endless range of new opportunities to build a big, sustainable business that helps Amazon continuously delight our customers.We're looking for curious and customer-obsessed software engineers who can help us take our products to the next level. We embrace leaders with a startup mentality — those who seek a disruptive yet clear mission and purpose, have an unambiguous owner's mindset, and are relentlessly obsessed with delivering amazing products.You'll own significant products and features from design through launch, and will work with product managers, scientists and other engineers to make your efforts successful. If this sounds like your sort of challenge, come and join our team.Key job responsibilitiesYou AreHighly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.Team obsessed: You help grow your team members to achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results.Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team.Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customersYou WillOwn technical vision and direction: You identify problems and develop MLOps solutions; you embrace performance metrics and dive deep into business and data to drive innovation in Ads CTR prediction.Build and grow your team: You'll be a key contributor on an engineering team that delivers results. This means you'll wear a lot of hats -- from software design, implementation, project management, operations, working with business partners, and so on. You'll be an example of Amazon's leadership principles and work to grow more leaders within your group.Collaborate on product direction: You’ll build and maintain strong relationships between engineering and science to ensure that we're focused on delivering the right product for customers.Lead beyond your team: You will be a key part of a small but growing community of engineering leaders who support their teams and contribute to the overall growth of our product development organization. You'll share your experience and technical acumen in order to drive technology decisions across our organization.Own your own shop: Our products reach hundreds of millions of customers around the world. We run operations 24x7x365 and the services your team delivers must meet high standards for operational excellence. Our teams own and operate the systems we build.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Experience in machine learning, data mining, information retrieval, statistics or natural language processingAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLC - A57Job ID: A2916391",Mid-Senior level,"Software Development Engineer - Machine Learning, Ad Response Prediction"
+674,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAbout UsTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.About The TeamThe Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world. Our mission is to build a world where ""there is no hard-to-sell good-priced product in the world"".Responsibilities - What You'Il Do Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales. Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. Promote the healthy development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.Qualifications Industry work experience in machine learning. Good product sense with a focus on user experience. Bachelor or advanced degree in computer science or a related technical discipline. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at rd.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - Search E-commerce (San Jose)
+675,2025-04-02,San Jose,CA,Cisco,http://www.cisco.com,"Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience.  With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. ","The application window has been extended and is expected to close on April 15, 2025. The job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.This role is remote with strong preference for candidates with proximity to: Atlanta GA, Raleigh NC, Washington DC / Fulton MD, Boston MA, Ann Arbor MI, Austin TX, San Jose CA; or US remote.Meet the TeamThe Cisco threat detection and response engineering team is looking for a strong and collaborative Software Engineer with energy and passion in the security space. You'll be a key player in our engineering efforts to build and grow a cloud-based product that offers supplemental security with MS365 and protects end users from phishing, malware and unwanted spam. You will develop solutions and tests for product features and integrations with a focus on simplicity, ease of use, and overall delight. You will utilize your skills to maximize the value of our product through quality so that we can continuously create, develop, and deliver the best outcomes for our customers.Your ImpactAs a Software Engineer, you will be a core member of a team composed of highly skilled individuals who are comfortable working in dynamic and technically sophisticated environments. This product team is a small, highly performant group that has built this solution from the ground up and continues to grow the product through regular releases. The team is involved in all stages of product life cycle from conception to development, go-to-market, and ongoing support of our customers.You are a self-motivated, focused and engaged individual who enjoys collaborating in a team-based environment. You want to get to the bottom of things, understand what’s going on, and build products that make a difference and leave a lasting impression. You are someone who doesn’t give up easily when faced with complex problems and has a strong overall attention for detail.Minimum QualificationsA bachelor's degree in Computer Science, Computer Engineering, or related field of study, with at least 1-year front end web development experience and a total of at least 3 years software development experienceExperience with JavaScript, including experience with modern libraries such as ReactCSS/SASS and HTML experience, along with prior experience converting design mockups into production-ready codeExperience ensuring code quality with modular, testable code using related tools like Jest, ESLint, or SonarQube Prior experience in building responsive Single Page Applications (SPAs) and integrating with RESTful APIsPreferred Qualifications Strong experience with Redux and Next.js Familiarity with fundamental design principles and best practices in user experience (UX) Experience with DevOps practices, including Continuous Integration/Continuous Deployment (CI/CD) and Infrastructure as Code Proven experience working in small, highly skilled teams that follow Agile/Scrum methodologies and experience collaborating cross-functionally with product and design teamsFamiliarity with secure coding practices and standardsA commitment to continuous learning and staying current with the latest technology trendsPassion for attention to detail#WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!",Not Applicable,Software Engineer - Front End
+676,2025-04-01,San Mateo,California,Stash Hotel Rewards,https://www.stashrewards.com/travel/?utm_source=stash&utm_medium=social&utm_campaign=linkedin,"Stash Hotel Rewards (Stash) is the top-rated points-based loyalty program for independent hotels. Members can earn and redeem points for free nights at unique, independently-run hotels across the US, Canada, Mexico, and the Caribbean. Stash makes it easy for inspired travelers to break free from big, bland hotel chains and stay where they really want.
+
+Stash was founded on a belief in the happiness-producing power of traveling to places that convey a unique and interesting story – places with soul. It’s a belief shared with the independent hoteliers and the independently-minded travelers the company was created to serve. 
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+Stash offers a collection of one-of-a-kind independent hotels – from distinctive business-class properties to landmark historic inns to top-rated resorts – in top travel destinations across the country. Recognized for their remarkable design, comfort, and service, many of the properties appear on the Best Hotels lists of the leading travel publications and have received some of the highest recommend ratings on popular travel sites.","About Stash Hotel RewardsWe’re a small company with a big mission: to bring independent travelers and independent hotels together. That’s why Stash Hotel Rewards was born.We’re in the travel business, so travel is one of our perks. Stash employees can stay at some of the best independent hotels for next to nothing. Which is easy to do, since we have no set vacation policy. We hire responsible people who get the job done on time, so we don’t need to watch over them. Our environment is casual and flexible — you’ll find us working from homes, coffee shops, and satellite offices. Our comprehensive benefits include a competitive salary, health and disability insurance, and a 401(k) plan.We need people who are autonomous, creative, super-smart, and fearless. And let’s not forget nice.OpeningTitle: Software Engineer - Front EndLocation: RemoteEmployment type: Full-timeOverviewStash Rewards is a leading loyalty program for independent hotels, offering travelers the opportunity to earn and redeem points at over 300 unique, highly-rated hotels across North America. Our program and services allow independent hotels to compete with large chains, reward their loyal guests, and promote direct booking practices. We are committed to delivering exceptional experiences to both our end-users and hotel partners through innovative and user-friendly technology solutions.ResponsibilitiesTechnology has always been integral to our company and this role, like all team members, plays a crucial role in our company’s development and future growth. You’re a super-smart, innovative front end software engineer who will help us execute Stash’s product vision. You will work closely with Stash Hotel Rewards team members to build smart solutions for independent hotels, Stash Members, and your colleagues.You will be responsible for developing and maintaining several Stash Rewards platforms, primarily contributing to user-facing interfaces. Stash is a collaborative workplace, so we are looking for a candidate who is excited to both apply their expertise to improving our front-end code base and provide constructive input and direction as we consider how future frontend features will look and function.In This Role, You WillDevelop and maintain the front end of Stash Hotel Rewards. As we overhaul and modernize our primary B2C site, which runs on a Rails monolith, you will help us decouple frontend and backend services to be more flexible and open to UI/UX improvements and future mobile app development.Enhance and support our partner portal, providing partner hotels access to educational materials, program tools, and data insights.Optimize tools for partner hotels to share Stash with their guests through digital channels, including our “inline enrollment” feature and “book direct” widgets.Work with members of our Marketing, Member Support, and Partner Advocate teams to review, plan, and implement future UI / UX and functional enhancements.Skills And RequirementsThe ideal candidate:3+ years of frontend development experience with proficiency in JavaScript, React, jQuery, and Bootstrap. Experience with Ruby on Rails development and component libraries like Telerik is a plusStrong understanding of responsive design, web standards, and cross-browser compatibilityExpertise working with frontend frameworks incl: familiarity with API integration and front-end architecture best practicesExperience developing consumer-facing applications within the travel / hospitality industry is a plusKnack for getting things done without sacrificing qualityStrong experience with agile software development techniques, developer driven testing, and highly automated test environmentsInquisitive, self-starting, and efficientExceptional problem-solving skills and an inclination to tap into the broader technology community to leverage existing solutions when applicableA business mind-set and team orientationBachelor’s degreeCompensation: From $95,000 to $130,000 per year",Mid-Senior level,Software Engineer - Front End
+677,2025-04-04,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways.We’re looking for a Data Scientist to join Snap Inc.What you’ll do:Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisionsDrive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'Collaborate with product managers, engineers, product marketers, and designersKnowledge, Skills & Abilities:Expertise using data modeling skills to identify key product trends and new product opportunitiesAbility to design implement, and track core metrics to analyze the performance of our productsAbility to create visuals, dashboards, and reports to effectively communicate your insightsAbility to collaborate with engineers, product managers, and other cross-functional teamsAbility to initiate and drive projects to completion with minimal guidanceAn understanding of Snapchat with great product sense and product understandingMinimum Qualifications:BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience1+ years of experience in quantitative analysis & data science or a related fieldPreferred Qualifications:1+ years of experience using SQL or similar big data querying languages1+ years of experience with programming language, such as Python or R1+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniquesAdvanced degree in applied mathematics, statistics, actuarial science, economics or related fieldExperience in a product-focused role at a social media, online advertising, digital media and/or mobile technology companyExperience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research. If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $118,000-$176,000 annually.Zone B:The base salary range for this position is $112,000-$167,000 annually.Zone C:The base salary range for this position is $100,000-$150,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Data Scientist, 1+ Years of Experience"
+678,2025-03-24,Overland Park,Kansas,Ad Astra,http://www.aais.com,"Ad Astra is the trusted partner of 500+ colleges, universities, and systems committed to graduating more students faster. Through data-informed planning and course scheduling, we empower institutions to remove barriers to completion while also ensuring financial sustainability. 
+","Competitive Compensation & Benefits Package * 401(k) with Profit Sharing * Flexible Time Off * Office Dog!! ABOUT USBy combining our unparalleled domain expertise with leading-edge technology, Ad Astra is helping higher education in its mission to advance timely student completions. We are building a cloud-based software platform that will provide the foundation for our next generation of industry-leading solutions and analytics. Simply put, we're helping students graduate faster. OUR CORE VALUESWe recognize talent. We recognize and appreciate the unique God-given talents that our people bring to Ad Astra. Aligning these individual gifts with our work sets team members up to succeed.We’re unpretentious. There’s no room for ego. We admit our imperfections and have the humility to know what we don’t know.We’re passionate. We aren’t satisfied with the status quo. We’re on a mission together to protect the value of degree completion and to transform the higher education industry.We’re pioneering. We’re pioneering and aren’t afraid of failing—in fact, we celebrate it. We love it when our people boldly experiment with innovative solutions.We love fun. The health of our relationships is strengthened by working with people who stretch our thinking—and by enjoying the lighter side of life together. We don’t take ourselves too seriously, but we do take fun seriously.We have grit. Beyond talent and intelligence, our people have stick-to-itiveness. We push through challenges to make goals a reality.POSITION SUMMARYThe Machine Learning (ML) Engineer operates as a key member of all phases of our Agile Software Development Lifecycle under limited direction. They deliver value to our customers by designing, developing, and implementing software solutions with a focus on data science. They collaborate with cross-functional teams to translate requirements into high-quality solutions and maintain the quality of our software over time with regular maintenance.ESSENTIAL FUNCTIONS/CORE RESPONSIBILITIESDeliver high-quality software quicklyLeverage data science knowledge to enhance our software solutions where appropriateImprove our data science literacy by taking opportunities to teach others when the opportunity arisesCollaborate with product managers to plan and build solutions that provide value for our customersConduct thorough testing of software to ensure reliability, security, and robustness individually and in collaboration with quality engineersTroubleshoot, debug, and resolve issues in existing software applicationsMaintain the quality of our software with regular maintenance including bug fixes, dependency updates and keeping old solutions up to date with best practicesSees needs within the system that requires attention/action and makes iterative improvements on those needs in service of current work without waiting for a directive or permission to do soOther duties as assigned POSITION REQUIREMENTSBachelor's Degree, preferably with a Data Science major or emphasis (or equivalent experience)Typically, 2+ years relevant experienceExcellent verbal and communication skillsExceptional time management skillsContent to operate in a ""pull"" based system (rather than waiting to have work pushed to you)ESSENTIAL COMPETENCIESSense of UrgencyProblem SolvingCollaborative CommunicationDecision Making and JudgmentSelf-ManagementEmergent ThinkingTechnical AptitudeAd Astra Information Systems, LLC. is an equal opportunity employer and values diversity. All employment decisions are based on qualifications, merit, and business need.This is an in-office position based in Overland Park, KS. Ad Astra does not provide relocation expenses.Ad Astra does not generally provide sponsorship for employment.",Mid-Senior level,Machine Learning Engineer
+679,2025-03-18,London,England,Hamlyn Williams,https://www.hamlynwilliams.com,"Placing Talent that Makes A Difference. 
+
+Talent attraction and retention are critical to our client’s success; Hamlyn Williams’ mission is to support and enable this through the delivery of high-quality staffing solutions.
+
+Founded in 2011, we are a global organisation with local offices across North America and Europe, and over 160 colleagues. We cover the Financial Services, Cyber Security, Professional Services, Technology, Life Sciences and Manufacturing industries. 
+
+Our people are ambitious, we persevere for our customers success, and work with pride. We are investing in our people strategy and have recently relaunched the Hamlyn Williams way (HW way) and Career Pathway, your route to success. There has never been a better time to join Hamlyn Williams. 
+
+Visit www.hamlynwilliams.com for more information.","Our client, a biochemistry research company, is looking to add innovative contributors who share our commitment to fostering a stimulating, positive, and collaborative work environment. Responsibilities could include, for example, optimizing ML models and data; developing/troubleshooting pipelines for ML model training/deployment; and installing/upgrading ML software/libraries. Ideal candidates will have: Strong practical knowledge of Linux systems, including experience working with GPU clusters and fluent knowledge of Linux/UNIX tools; Experience with ML/AI frameworks such as PyTorch and related libraries; Familiarity with large-installation systems administration, high performance data-parallel computing, and data management; Strong Python programming ability. Knowledge of C++ would be preferred but is not required. Specific knowledge of and level of experience in any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement. Candidates should have excellent communication skills, and we will consider candidates at all levels of experience.",Mid-Senior level,Machine Learning DevOps Engineer
+680,2025-03-27,Falls Church,Virginia,General Dynamics Information Technology,https://www.gdit.com,"GDIT is a global technology and professional services company that delivers solutions, technology and mission services to every major agency across the U.S. government, defense and intelligence community.
+
+Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. 
+
+GDIT is part of General Dynamics, a global aerospace and defense company. We have shared our clients’ sense of purpose for over half a century and have a have a unique understanding of their missions, complex environments, and a rapidly changing world. 
+
+Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. ","Job Description:Type of Requisition:RegularClearance Level Must Currently Possess:NoneClearance Level Must Be Able To Obtain:NonePublic Trust/Other Required:NoneJob Family:CloudSkills:Job Qualifications:Agile Methodology, C++ Programming Language, Cloud Development, Python (Programming Language), Software Product Life CycleCertifications:Certified Kubernetes Application Developerr - Cloud Native Computing Foundations, Red Hat Certified Specialist in Ansible Automation - Red HatExperience:10 + years of related experienceUS Citizenship Required:YesJob Description:GDIT is seeking a Cloud Software Engineer to join our team to ensure program delivery is on schedule with technical delivery of a large Cloud Services government contract in Reston, VA.As a Cloud Software Engineer, you will help our customer with their cloud software development projects.HOW A CLOUD SOFTWARE ENGINEER WILL MAKE AN IMPACT:Develop Frontends and Backends for Customer Cloud Fleet Management greenfield projectsWork extensively with customer engineering and cloud engineering teams to survey existing pain points on customer products and propose solutions & improvementsParticipate in and lead architecture and engineering designs with peers and stakeholders, and exercise technical judgment (e.g., deciding between available technologies)Review code and provide feedback to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency)WHAT YOU’LL NEED TO SUCCEED - REQUIRED:Citizenship: US CitizenCertifications: Certified Kubernetes Application Developer (CKAD) Certification or demonstrate equivalent practical Kubernetes experienceCertified Ansible Enterprise Automation (EX467) or demonstrate equivalent practical Ansible experienceEducation: Bachelors Degree in Computer Science/Engineering or related discipline or equivalent practical work experienceExperience:10+ years of experience with software development in one or more programming languages (e.g. C++, Go, Python)5 years of experience with software design, architecture, and software product lifecycle management (testing/launching software)Experience with both Kubernetes and Ansible toolsSkills & Abilities: Excellent communication and interpersonal skills, with the ability to work effectively in a fast-paced, collaborative environment.Strong analytical and critical-thinking skills to asses complex technical challenges and develop scalable, efficient solutionsAbility to present technical designs/updates to leadership, customers, and cross-functional teams.Ability to consult with customers to understand their business objectives, technical challenges, and development needsLocation: Reston, VA - onsite at customer locationDESIRED SKILLS:Hands-on experience in developing software for large scale systemsExperience in Google Cloud, AWS, or AzureProficiency in Google Workspace and related toolsGDIT IS YOUR PLACE:401K with company matchComprehensive health and wellness packagesInternal mobility team dedicated to helping you own your careerProfessional growth opportunities including paid education and certificationsCutting-edge technology you can learn fromRest and recharge with paid vacation and holidays#GDITcareers#OpportunityOwned#WeAreGDIT#transitioningmilitary#clearedjobs#veteransThe likely salary range for this position is $139,984 - $178,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Scheduled Weekly Hours:40Travel Required:10-25%Telecommuting Options:OnsiteWork Location:USA VA RestonAdditional Work Locations:Total Rewards At GDIT:Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans",Entry level,Cloud Software Engineer
+681,2025-04-08,Centennial ,CO,Beehive Industries,https://www.beehive-industries.com/,"The future of American security demands a production revolution. How we design, develop, and deliver military assets must radically change to meet the increasing needs of our country's defense.
+
+Among those building the arsenal of tomorrow, we are the ones who build the engines. Beehive Industries is proud to power American defense through additively enabled jet propulsion systems.
+
+For more information, visit beehive-industries.com. ","Beehive Industries is dedicated to Powering American Defense by revolutionizing the design, development, and delivery of jet propulsion systems to support the warfighter. Through the integration of additive manufacturing, the company aims to meet the growing and urgent needs for unmanned aerial defense by dramatically improving a jet engine’s speed to market, fuel efficiency, and cost.Founded in 2020, the company is headquartered in Englewood, Colorado, with additional facilities in Knoxville, Tennessee, Loveland Ohio, and Mount Vernon, Ohio. Beehive is committed to grow and advance the defense industrial base while manufacturing exclusively in the USA. This role can be remote.Job OverviewWe are seeking a highly skilled Machine Learning Engineer with expertise in Large Language Models (LLMs) related to aerospace applications. The ideal candidate will design, develop, and deploy LLMs that enhance the performance, diagnostics, and overall development phase of jet engines used in uncrewed applications. This role requires deep knowledge of AI, natural language processing (NLP), and aerospace engineering principles.Key ResponsibilitiesDevelop and fine-tune LLMs to optimize the jet engine development phase including performance assessments, analysis, and test.Integrate AI models within the Digital Engineering thread at Beehive Ind.Responsible for researching, benchmarking, and recommending machine learning models for internal consumption. Utilize natural language processing (NLP) through the development and test phases of a program.Collaborate with aerospace engineers, data scientists, and software developers to deploy AI-driven solutions.Design and implement machine learning pipelines for processing aerospace data. Create learning models to interface with / learn from computational fluid dynamics (CFD), aerodynamic analysis, finite element analysis (FEA), and CAD software as examples (i.e. mathematical, physics and thermodynamic based learning models and systems). Research and apply state-of-the-art AI/ML methodologies to improve the propulsion systems, products, and development process.Ensure model robustness, interpretability, and compliance with applicable regulations. Partner with IT infrastructure team pertaining to security and deployment. Train AI to provide technical support to the engineering team such as generating engineering reports, creating feasibility studies, etc.QualificationsMaster’s or Ph.D. in Computer Science, Machine Learning, or a related field.Strong experience with Large Language Models (e.g., GPT, LLaMA, BERT) and NLP techniques.Proficiency in Python, Java, TensorFlow, PyTorch, or other deep learning frameworks.Background in aerospace systems, jet engines, or related disciplines is highly desirable.Experience with high-performance computing, data engineering, and/or cloud-based ML deployment.Knowledge of reinforcement learning, time-series analysis, and physics-informed machine learning models.Experience with data security best practices, protecting company IP, etc. within the AI systems Ability to work in a cross-disciplinary environment with engineers and data scientists.Strong communication skills to teach others about AI, and deploy across the business. Experiencing working on programs for the Department of Defense. If this sounds like you, please submit an application with your resume. This could be the opportunity you are looking for to expand your skills, contribute to a winning team, and work with talented people who love what they do and take pride in our mission.Beehive Industries offers a comprehensive benefits package that includes group Medical, Dental, Life, and Short and Long-Term disability coverage from day one. We also offer a generous 401(k) Retirement Savings Plan with a Company match. Every role at Beehive Industries is bonus eligible, and will also receive equity in the company.Beehive Industries is committed to full compliance with applicable anti-discrimination laws. We are an equal opportunity employer and value diversity at our company. We strive to create an inclusive work environment and will not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.",Mid-Senior level,Machine Learning Engineer
+682,2024-12-11,San Francisco,California,sync.,https://synclabs.so/,"We’re a team of artists, engineers, and researchers building controllable AI video editing tools to unbound human creative potential.
+
+Our research team builds AI video models to understand and affect fine-grained, controllable edits on any human in any video. Our product team makes these models accessible to everyone from everyday people, professional editors and animators, developers, and businesses large or small to reach new audiences and tell outstanding stories.
+
+Our technology is used to automate lip-dubbing in localization processes in entertainment, create dynamic marketing campaigns personalized to individuals or communities, animate new characters to life in minutes instead of days, fix mistakes in post-production by making word-level edits to avoid rerecording entire scenes, and more – this is just the beginning.
+
+In the last 12 months we graduated at the top of our YC batch (W24), raised a $5.5M seed backed by GV, won the AI grant from Nat Friedman and Daniel Gross, scaled to millions in revenue – and we're only just getting started.
+
+For more information, visit https://synclabs.so/","About Sync.sync. is a team of artists, engineers, and scientists building foundation models to edit and modify people in video. Founded by the creators of Wav2lip and backed by legendary investors, including YC, Google, and visionaries Nat Friedman and Daniel Gross, we've raised 6 million dollars in our seed round to evolve how we create and consume media.Within months of launch our flagship lipsync API scaled to millions in revenue and powers video translation, dubbing, and dialogue replacement workflows for thousands of editors, developers, and businesses around the world.That's only the beginning, we're building a creative suite to give anyone Photoshop-like control over humans video – zero-shot understanding and fine-grained editing of expressions, gestures, movement, identity, and more.Everyone has a story to tell, but not everyone's a storyteller – yet. We're looking for talented and driven individuals from all backgrounds to build inspired tools that amplify human creativity.About The RoleWe're seeking an exceptional ML Engineer to expand the boundaries of what's possible with AI video editing. You'll work with the creators of Wav2lip to build and extend computer vision pipelines giving users unprecedented control over humans in video.What You'll Do Create novel CV features that unlock new forms of video manipulation Build ML pipelines that understand and modify humans in video Transform research breakthroughs into production capabilities Design systems that make complex AI feel like magic to users Pioneer new approaches to fine-grained video controlWhat You'll Need 5+ years implementing computer vision and ML systems that users love Deep expertise in PyTorch and video processing pipelines Track record of shipping novel ML features from concept to production Ability to bridge cutting-edge research with practical applications Strong collaboration skills across research and engineering teamsPreferred Qualifications Experience with face/human detection and tracking Background in generative AI or video understanding History working with large-scale video datasets Open source contributions to CV/ML projectsOur goal is to keep the team lean, hungry, and shipping fast.These are the qualities we embody and look for:[1] Raw intelligence: we tackle complex problems and push the boundaries of what's possible.[2] Boundless curiosity: we're always learning, exploring new technologies, and questioning assumptions.[3] Exceptional resolve: we persevere through challenges and never lose sight of our goals.[4] High agency: we take ownership of our work and drive initiatives forward autonomously.[5] Outlier hustle: we work smart and hard, going above and beyond to achieve extraordinary results.[6] Obsessively data-driven: we base our decisions on solid data and measurable outcomes.[7] Radical candor: we communicate openly and honestly, providing direct feedback to help each other grow.Compensation Range: ₹1M - ₹10M",Mid-Senior level,Machine Learning Engineer
+683,2025-04-06,San Francisco,California,Replo,https://www.replo.app/?utm_source=linkedin&utm_medium=profilelink&utm_campaign=mainprofile,Sell more on the internet with Replo https://replo.app,"About The RoleHiring a new grad full-stack engineer to join our team and focus on shipping products. We are only looking for folks graduating December 2024!Things you'll be working onArchitecting and implementing full-stack product features in Typescript/React/Node is the core of what you’ll be doing. Real examples include —Build our AI tools for our end-customers to generate new Replo content.Build our analytics and experimentation products end-to-end.Build our payments/billing infrastructure to manage different customer use-cases.Own our multiplayer editor end-to-end, deep dive into CRDT, React-performance.Own our user onboarding flow from end-to-end.Looking For Someone WhoCan be hybrid in San Francisco.Is very proficient in Typescript/React/Node.Can leverage GPT/Claude/Cursor to accelerate their work.Has built products 0 -> 1 with real users and revenue.Is OK with not having product and design support all the time.Is ALWAYS SHIPPING. We don't spend weeks planning features at Replo.Has a product and customer-focused mindset.Has experience being burned by deployment and maintenance issues. If you have a a strong opinion on how products should be built, that’s good.Values writing clean, maintainable software, including documentation (e.g. the code needs to be correct and run fast, but we’re the ones that have to read it and understand it).Is comfortable with ambiguity and defining software architecture patterns to solve customer pain points. Bonus points if youHave a Computer Science degree or formal computer science/STEM backendHave started a company beforeEnjoy attending hackathonsWorked at an early-stage (Series A or earlier) startup previouslyHave not wasted hours interview-prepping on LeetcodeHave an eye for visual design (or past experience in product design, Figma, etc).The salary range offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered.Replo is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records._ Note on Visas — At this time, Replo is unfortunately unable to support employees on visas._",Entry level,"Software Engineer, New Grad (Dec 2024 Only)"
+684,2025-03-20,Indianapolis,Indiana,Brooksource,http://www.brooksource.com,"Here at Brooksource, relationships are at the center of everything we do. Since 2000, we have established and maintained lasting relationships with our clients, consultants, and internal employees to create an unparalleled experience. 
+
+Brooksource is a trusted provider of Engineering & Technology solutions for Fortune 500 organizations, specializing in Experience-Driven Staffing, Professional Services, and our innovative Workforce Transformation program, Elevate. Leveraging our partnerships with Salesforce, AWS, Microsoft, Google Cloud, and other leading technology alliances, we have the expertise and capabilities to deliver creative resourcing strategies. 
+
+In today’s evolving digital landscape, the convergence of Engineering & Technology is revolutionizing industries, reshaping our world. As organizations seek partners to navigate this transformative journey, we provide strategic guidance and tailored services that drive value and innovation. By collaborating closely with our customers, we identify opportunities to optimize technical investments, streamline operations, & enhance overall business performance.
+
+With our expanding national footprint, Brooksource is committed to setting new standards for Engineering & Technology service providers. We’re proud of our ongoing dedication to prioritizing relationships and enabling workforces for the future.
+
+Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.","Our Fortune 50 Healthcare Insurance client is seeking a highly skilled AI/ML Engineering resource to play a pivotal role in the development, expansion, operation, and maintenance of generative AI solutions. The primary responsibilities include running an experimental framework to determine the optimal prompt engineering approaches, tuning prompts, and collaborating with subject matter experts (SMEs) for evaluations and results. This role requires a deep understanding of evaluating models output in production, particularly when ground metrics are absent, monitoring for issues such as model drift and hallucinations, and optimizing for offline and online metrics. Key Responsibilities:· Scope, develop, expand, operate, and maintain scalable, reliable and safe generative AI solutions.· Design and execute prompt engineering experiments to optimize Large Language Models (LLMs) for various use cases.· Collaborate with SMEs to evaluate prompt effectiveness and align AI solutions with business needs.· Understand and apply offline and online evaluation metrics for LLMs, ensuring continuous model improvements.· Evaluate production models using live data in the absence of ground metrics, implementing robust monitoring systems.· Monitor LLM applications for model drift, hallucinations, and performance degradation.· Ensure smooth integration of LLMs into existing workflows, providing real-time insights and predictive analytics. Qualifications:· Solid experience in business analytics, data science, software development, and data engineering.· Expertise in Python and frameworks such as PyTorch, TensorFlow, or ONNX.· Hands-on experience working with LLMs and Generative AI, including model development and inference patterns.· Proven ability to design scalable systems leveraging LLMs, particularly in distributed computing environments. Preferred Skills:· Experience in prompt engineering and prompt optimization.· Expertise in running experiments to evaluate generative AI performance.· Knowledge of production-level monitoring tools for ML models, including drift detection and mitigation strategies.· Excellent problem-solving skills and ability to work cross-functionally with data scientists, engineers, and SMEs.· Experience with safety, security and responsible use of AI.· Experience with red-teaming (adversarial testing) of generative AI.· Experience with developing AI applications with sensitive data such as PHI, PII and highly confidential data.",Mid-Senior level,Machine Learning Engineer
+685,2025-04-07,Irvine,California,Symple Lending,http://www.symplelending.com,"Symple Lending is an innovative fintech company that delivers sustainable solutions to consumers at various milestones in their lives. Financial freedom is the ultimate destination, but the road to get there is a long and winding one, marred with uneven pavement and unexpected detours. Our customers know that when they face a last-minute surprise, we can provide a fast injection of capital to help them keep moving along life’s journey.","Symple Lending, is an innovative fintech company that is at the forefront of transforming the lending industry by empowering customers on their journey to financial freedom. Our commitment lies in providing seamless and efficient lending solutions to our customers.Symple Lending is seeking a LeadGen Data Scientist. As a Scientist, you will help allocate a $1M+ per month marketing budget to optimize the company’s Customer Acquisition Cost (CAC). The role uses existing partnerships to select the target marketing audience on a weekly basis using machine learning (ML), feedback loops, and balanced heuristics. The opportunity is to innovate and mature the existing pipeline while building and deploying code packages to support and validate the work. This ultimately leads to a valuable, data-driven decision framework for selecting and interacting with the right customer audience. These decisions must be explainable by the Scientist to company stakeholders and external partners.What You’ll Be DoingWhat You’ll Bring:This hybrid role is based in Tampa, Florida, and requires the candidate to be on-site part-time or willing to relocate. Machine Learning: Apply machine learning algorithms to solve business problems, such as predictive modeling, recommendation systems, or anomaly detection. Collaborate to enhance data-driven decision-making through machine learning.Deploy technical solutions within the cloud environment. Scripting: Develop and maintain scripts in Python to automate data processing and data analysis. Build within a code package environment. Analysis and Outcome Review: Analyze data to identify trends, patterns, and anomalies, providing actionable insights to stakeholders. Generate visual monitoring with decisions and processes. SQL and Database Querying: Reference and critique data within the company Data Lake Write SQL queries to transform data into useful formats. Troubleshoot data issues, and maintain data integrity. Governance and Quality: Ensure data accuracy, consistency, and quality throughout the organization. Operate within data governance practices and enforce data security and compliance protocols.Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.Proven experience as a Data Scientist or similar role.Experience in cloud infrastructure (e.g., AWS, Azure).Strong SQL skills and experience working with relational databases.Strong analytical and problem-solving skills.Excellent communication and collaboration skills.Attention to detail and a commitment to data quality and accuracy.Proficient in Python scripting for data analysis and automation.Experience in deploying production-grade machine learning solutions through tools such as AWS Sagemaker.Why Work For Symple LendingDental InsuranceCompetitive Salary Modern office settingWork-from-home daysGrowth opportunitiesHealth insuranceVision insurancePaid time offA collaborative and innovative work environment.Opportunities for professional growth and development.Cutting-edge projects and exposure to the latest technologies.Professional development assistanceSymple Lending is an equal opportunity employer and encourages candidates of all backgrounds to apply.Symple Lending is unable to provide visa sponsorship for this position",Entry level,LeadGen Data Scientist
+686,2025-03-27,China,China,ByteDance,https://job.bytedance.com/en/#/,"ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok.
+
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. 
+
+Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.
+
+We have over 110,000 employees based in more than 30 countries globally. Join us.","ResponsibilitiesAbout the teamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.QualificationsMinimum Qualifications: Currently pursuing a Bachelor's or Master's in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.Preferred Qualifications Graduating December 2025 onwards with intent to return to degree-program after the completion of the internship. Demonstrated software engineering or natural language processing, deep learning experience from previous internship, work experience, coding competitions, or publications. High levels of creativity and quick problem-solving capabilities.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $45- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About UsFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.Why Join ByteDanceInspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.Reasonable AccommodationByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (Search-TikTok Recommendation) - 2025 Summer (BS/MS)
+687,2025-03-23,Mountain View,California,Moveworks,https://moveworks.ai/?utm_source=soc&utm_medium=li,"Moveworks unifies every business system with natural language, giving employees one place to go to find information, automate tasks, and be more productive, increasing employee efficiency and satisfaction by streamlining everyday tasks.
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+Powered by a pioneering agentic AI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, Moveworks understands employee requests, devises intelligent plans, and executes actions to complete tasks across application boundaries in over 100 languages.
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+More than 350 brands, such as Toyota, Spotify, GitHub, Marriott, Snowflake, Unity, Databricks, Broadcom, Hearst, and Palo Alto Networks, trust Moveworks to automate menial tasks and power a universal search interface across business applications.
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+Learn more at moveworks.com.","What You Will DoWe are looking for a search relevance engineer to work with a team to improve a search based question answering platform. At Moveworks, we build search technology to answer enterprise users’ tech questions instantly, by combining modern information retrieval methodology with the latest advancement in natural language understanding. Our core Search product value is achieved through the capability of accurately retrieving, matching and ranking text snippets extracted from heterogeneous knowledge sources, as direct answers to users’ requests. You will play a critical role in boosting answer quality by meeting the challenges such as lexical gap, semantic text understanding, and data sparsity.We’re building a team that indexes on moving fast, solving challenging product/engineering problems and providing value to our customers. To be successful, you'll be partnering with product, user experience, customer success and other engineering teams to identify, define and build elegant solutions.Craft new ranking features and optimizing existing ones to enhance relevance metricsDevelop algorithm framework to support diversified ranking featuresDesign platform and tooling to enable parallel ranking experimentsDevelop metrics to evaluate ranking performanceWhat You Bring To The TableFirst-hand experience in traditional information retrieval techniques, or machine learning based ranking modelsCapable of deriving insights from query logs analysis and identifying areas of improvement for search qualityBackground in text processing, information retrieval, natural language understanding, or machine learningNice to HaveExperience in GolangBase Compensation Range: $120,000 - $249,000Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.Moveworks Is An Equal Opportunity EmployerMoveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.Who We AreMoveworks is the universal AI copilot for search and automation across all your business applications. We give employees one place to go to find information and get support while reducing costs for your business. The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them. It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees.The world’s most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminate repetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team. In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year. We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024!Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.Come join one of the most innovative teams on the planet!",Mid-Senior level,Senior Machine Learning Engineer - GenAI Search Relevance
+688,2025-04-08,New York,NY,Focus Capital Markets,http://focuscapital.com,"Through the bold leadership of its president, Scott Gerson, Focus Capital has succeeded in becoming one of New York's leading international trading & technology executive search firms. Focus has introduced to Wall Street many of the world's foremost mathematicians, physicists and computer scientists. In fact, Focus Capital was one of the first technological recruitment firms to acknowledge and facilitate the globalization of financial markets by exporting American talent to London and the Far East. Focus Capital continues to act as a special hiring advisor to many of the world's leading Hedge Funds.","Focus Capital is looking for a rock star AI software engineer with extensive Python experience to join our partner’s startup technology firm. As the innovator in out-of-the-box AI and LLM solutions, the firm privately raised over $100 Million in funding with a billion dollar evaluation and over $100M in revenue since it's inception.Servicing some of the top consumer-facing firms (including Fortune 10 companies), our partner has capitalized on the growing interest in generative AI, large language modeling and automated ML technologies by offering a platform that each company can build on top of and utilize for a variety of use cases. Think of the ability to instantly turn a legacy company's antiquated databases into its own Google to find nuanced insights, can turn every file into a searchable Google Images-like tool, or give that company the ability to automate technology processes at scale with almost no tuning required. In this role, you will work with AI researchers, data experts and software teams to develop data sets that supercharge next gen AI models. You will make an impact in end-to-end processes including be involved with data strategy, pipelines, data processing, software development and AI infrastructure. You will also work on customer-facing teams that allow the startups clients to use advanced models for various business use cases.You would be joining a rapidly growing and already successful company that operates as a startup despite having numerous Fortune 500 clients. We will only accept candidates who are 100% hands-on and don’t have any issues being tech’d out in the process.The role is based in San Francisco and requires a total of 2 days onsite per week  Minimum Qualifications:5+ years of experience programming in PythonPrior professional experience working with Gen AI, LLMs and SLMs.Tangible experience working with ETL, relational databases, SQL, NoSQL or MongoDB.Desire to work with machine learning toolsPrior professional experience with cloud environments (i.e. AWS, GCP)A bachelors or higher in computer science or a related fieldMust have excellent communication skills.",Mid-Senior level,AI Software Engineer (Top AI/LLM Startup)
+689,2025-04-09,Redwood City,CA,PubMatic,https://pubmatic.com/?utm_source=LinkedIn,"PubMatic (Nasdaq: PUBM) is an independent technology company maximizing customer value by delivering digital advertising’s supply chain of the future. 
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+PubMatic’s sell-side platform empowers the world’s leading digital content creators across the open internet to control access to their inventory and increase monetization by enabling marketers to drive return on investment and reach addressable audiences across ad formats and devices. Since 2006, our infrastructure-driven approach has allowed for the efficient processing and utilization of data in real time. By delivering scalable and flexible programmatic innovation, we improve outcomes for our customers while championing a vibrant and transparent digital advertising supply chain. ","About The RoleWe are immediately hiring a results-oriented Lead Machine Learning Engineer to join our growing team in Redwood City on a hybrid schedule. Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business. The ideal candidate will apply quantitative analysis, modeling and data mining to help drive informed product decisions for PubMatic + get things done.What You'll DoBe a hands-on technical leader working closely with Product and Engineering teams.Perform deep dive analysis to understand and optimize the key product KPIsApply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application productsConduct data analysis to make product recommendations and design A/B experimentsPartner with Product and Engineering teams to solve problems and identify trends and opportunitiesCollaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentationsWe'd Love for You to HaveQuantitative BS or MS degree (e.g., Physics, Statistics, Mathematics, Economics, or Computer Science)4+ years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlibProven ability to inspire, mentor, and develop people to deliver value consistentlyExperience with articulating product questions and using statistics to arrive at an answerExperience with scripting in SQL - extracting large data sets and design of ETL flowsWork experience in an inter-disciplinary/cross-functional fieldDeep interest and aptitude in data, metrics, analysis, trends and applied knowledge of measurement, statistics and program evaluationDistinctive problem-solving skills and impeccable business judgmentCapable of translating analysis results into business recommendationsAdditional InformationReturn to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions.Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days per week.Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability statusAbout PubMaticPubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.Compensation DisclosureIn accordance with applicable law, the below salary range provided is PubMatic’s reasonable estimate of the total compensation for this role. New hires and current team members are typically compensated toward the middle of our pay range. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package.Total Compensation Range$200,000 - $250,000 USD",Mid-Senior level,Lead Machine Learning Engineer
+690,2025-04-03,San Francisco,California,Twitch,http://www.twitch.tv,"Twitch is where thousands of communities come together for whatever, every day. Together for streamers. Together for games we love. Together for each other.","About UsTwitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.About The RoleAs a software engineer on Twitch’s Safety ML team, you will leverage machine learning to develop the systems that keep the everyday Twitch user safe from abuse such as harassment, spam, and illegal content. You will collaborate with a passionate team of scientists and engineers to build the systems necessary to train, evaluate, and productionize our various models. You will build the tools and systems necessary to integrate these models into various parts of the Twitch experience to protect our users from harm.You can work from San Francisco, CA.You Will:Design, build, and deploy reliable and performant services to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal contentCollaborate with Community Health’s science and product management team to productionize and scale models into ML-based services to be used across Twitch.Design and build performant and reliable systems that handle multiple types of data, such as user behavior, metadata, and user generated content at scale for model developmentDeliver high-quality code, tests, and documentationYou Have:Bachelor's degree in Computer Science or related field or equivalent industry experience as a Software EngineerFamiliarity with scalability, concurrency, API design, data modeling, and distributed systems fundamentalsWillingness to learn and keep up with developments in the ever-evolving ML spaceWillingness to try new things and work with a diverse group of people across many functionsBonus PointsFamiliarity with machine learning techniquesExperience writing Go in production systemsFamiliarity with Python and modern open source ML libraries (Pytorch, Tensorflow, etc.)Experience with AWS infrastructurePerksMedical, Dental, Vision & Disability Insurance401(k)Maternity & Parental LeaveFlexible PTOAmazon Employee Discount We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.Job ID: TW8779Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.US Pay Per Year$99,500—$200,000 USD",Not Applicable,Software Development Engineer - Safety ML
+691,2025-04-09,Dublin,County Dublin,Mentor Talent Acquisition,http://www.mentortalent.ie,"For Clients
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+We are a Global Talent Agency with a proven track record of building teams across the US, Europe, Canada, South America, and Asia.
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+Save time and money with us with no risk as we work on a success-only basis and use Data Driven Recruitment Techniques and AI to ensure we send the best talent from our worldwide pool. 
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+We also specialise in building high-performing remote teams, helping businesses cut costs while maintaining the quality of work that drives success.
+ 
+To see how we can help you build your team; please contact us at bd@mentortalent.ie
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+For Candidates
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+We are ready to help you find your dream role.
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+We have global reach and work with some of the best and diverse companies from across the US, Europe, Canada, South America and Asia.
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+Our philosophy is simple; help people find jobs they love.
+‍
+To see what roles we have for you today; please contact us at job@mentortalent.ie","About UsWe are dedicated to advancing the performance, scalability, and visibility of AI-driven systems, helping teams optimize their workflows and grow at scale.Role OverviewWe are in search of a foundational team member specializing in Machine Learning Engineering/Research.What We ProvideOpen-source Engagement: A major portion of your work will involve contributing to publicly available open-source projects.Opportunities for Advancement: While your expertise will be in Machine Learning, you'll be encouraged to broaden your skill set in other areas as well.Close-knit Team: You'll collaborate with a talented, small group, playing a pivotal role in shaping both our company culture and engineering practices.What We Are SeekingTechnical Expertise: You have a track record of solving complex technical challenges.Project Leadership: You’re confident in leading large projects from start to finish.Specialization: Experience with Large Language Models (LLMs) or Reinforcement Learning (RL) is highly preferred.",Mid-Senior level,Machine Learning Engineer
+692,2025-04-02,Los Altos,California,ArteraAI,https://artera.ai,"Our AI can prognosticate patient outcomes & personalize treatment in localized prostate cancer.
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+Five Phase III randomized trials were used to develop prognostic and predictive AI biomarkers.","About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.As a Machine Learning Engineer at Artera, you’ll work on the AI Platform team with a focus on establishing scalable and efficient pipelines for data processing and model training. You’ll work closely with AI model developers, fellow machine learning engineers, and our platform engineering team. You’ll ensure that Artera’s model developers can rely on highly efficient, large-scale training regimes and deploy optimized models to production environments.Essential ResponsibilitiesBuild and own tools and libraries that accelerate Artera’s ability to develop, launch, and monitor AI products.Work with model developers to optimize GPU and CPU efficiency and data throughput of large-scale foundation models and downstream model training runs.Optimize Artera’s ability to store and process terabytes of digital pathology data efficiently for the use in serving large-scale training regimes.Ensure that Artera’s observability infrastructure provides a clear picture of how to continue to optimize performance across our model landscape.Experience Requirements4+ years of industry software engineering experience3+ years of industry experience using one of PyTorch, TensorFlow, or JAX in Python2+ years of industry experience building with AWS, Docker, and Kubernetes1+ years of industry experience optimizing large-scale, high data-throughput, distributed machine learning training pipelinesDesiredExperience using Terraform, SqlAlchemyExperience using ML orchestration frameworks such as Ray, Kubeflow, Metaflow, MLFlow, Flyte, Dagster, Argo Workflow or PrefectExperience deploying and maintaining infrastructure for machine learning training and production inferenceFamiliarity with TorchScript, ONNXRuntime, DeepSpeed, AWS Neuron or similar approaches to inference optimization$140,000 - $180,000 a yearIn addition to base salary, equity is a core component of our compensation. We also offer 401k matching, unlimited paid time off (PTO), and more.The base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process.Equal Employee Opportunity: At Artera, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients and physicians. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.",Entry level,Machine Learning Engineer (Platform)
+693,2025-04-09,New York,NY,thrively,https://thrivelytalent.com,"Thrively exists out of a conviction that organizations need strong recruiting and HR partners like never before. We are a team of seasoned professionals who have all held senior leadership positions, sat on executive teams, and worked closely with boards. We’ve had to navigate scaling up quickly and scaling down. In a post-pandemic era we understand the stress that is placed on business leaders. Talent is demanding more work flexibility and authenticity from their leaders than ever before while leaders are feeling the demand from investors to stay lean and get to and maintain profitably. It’s no longer growth at all costs and everyone is trying to adjust. We know how to partner with leaders in this new dynamic to ultimately put the right talent in the right roles at the right time.
+","Our client, a fast-growing tech startup backed by top-tier investors, is on a mission to transform how small businesses leverage technology to grow and operate. They are building AI-powered tools and digital infrastructure to support home service professionals—from roofers to landscapers and everything in between.As the company continues to scale, they’re looking for a talented AI Engineer to join their Boston-based team. This is a rare opportunity to have a meaningful impact on a growing product and work alongside a high-caliber, collaborative engineering team.⚡ What You’ll Do:Enhance AI Agent and Chat Capabilities: Develop AI-powered assistants that help customers run their businesses more effectively.Deploy & Scale AI Features: Build infrastructure and pipelines to support real-time AI interactions in a production environment.Experiment & Iterate: Prototype new AI applications, evaluate their performance, and continuously improve based on user feedback.Collaborate Across Teams: Work closely with engineering, product, and design leaders to shape product strategy and execution.🎯 What We’re Looking For:2+ years of experience in AI, ML, or NLP-related roles (and/or 5+ years as a software engineer)Strong problem-solving skills and a bias for action in ambiguous, fast-paced environmentsHands-on experience with OpenAPI, embeddings, vector databases, and retrieval-augmented generation (RAG)Familiarity with LLMs, prompt engineering, fine-tuning, and evaluation strategiesExperience deploying AI models into production environments (real-time systems, cloud APIs, etc.)Passion for building alongside empowered product and design teamsProficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging FaceBonus: Experience with Django, PostgreSQL, and modern frontend frameworksStrong communication and collaboration skillsA team player with curiosity, humility, and a great sense of humor🙌 What They OfferCompetitive compensation package with equityUnlimited vacation policy, 9 company holidays, and 1 volunteer day per yearComprehensive health, dental, and vision insurance401(k) planA fun, close-knit team that values building great products—and enjoying the ride",Mid-Senior level,AI Software Engineer
+694,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity.What You'll Do Participate in the development of a large-scale Ads system. Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the TikTok ads monetization ecosystem. Work with product and business teams on product vision.Qualifications BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. 2+ years of experience in and good theoretical grounding in machine learning concepts and techniques. Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python. Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc Ability to think critically and to formulate solutions to problems in a clear and concise way. Preferred experience: ads system, recommendation, searching, ranking, etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Monetization Technology/Ads Engineering (General Hire)"
+695,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Level 5"
+696,2025-03-26,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
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+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Perception Scene Semantics team is responsible for developing ML models for scene understanding around construction, emergency scenes, mapless driving and world changes. The team works on the end to end ML pipeline from data mining, labeling, training onboard / offboard models, and deployment. We need someone with strong ML experience to drive the architecture upgrades and product feature development.In this hybrid role, you will report to a TLM within Perception Semantics.You WillDesign and implement new evaluation systems and strategies to measure the safety and performance of large-scale Waymo Perception machine learning models and support onboard engineers in both regression prevention and quality hillclimbing.Make evaluation-driven recommendations for modeling and data changes and actively influence deployment of onboard models.Create evaluation strategies that leverage advanced ML strategies and models, like VLMs, active learningYou Have2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML productsAbility to drive the development of new productsExperience in JAX (Preferred), TensorFlow (Preferred), or PyTorchFunctional knowledge of C++ programmingPassion for developing novel ways of measuring the performance of mission-critical ML systemsExperience evaluating the quality of machine learning prediction at scaleWe PreferBackground in both computer vision and general machine learning.Experience using and developing distributed systemsGood knowledge of LLM/VLMThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$204,000—$259,000 USD",Mid-Senior level,"Senior Software Engineer, Applied ML and Evaluation"
+697,2025-04-08,Mumbai,MH,LTIMindtree,https://ltimindtree.com,"LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 86,000+ talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
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+LTIMindtree is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities regardless of race, ethnicity, nationality, gender, gender identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability, or any other characteristic protected by applicable law. 
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+Please note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge candidates any registration fees or other fees for appearing in interviews or securing employment/internships. Candidates are solely responsible for verifying the credentials of any agency or consultant claiming to work with LTIMindtree for recruitment purposes. Please note that anyone relying on representations made by fraudulent employment agencies/consultant does so at their own risk. LTIMindtree disclaims any liability for loss or damage suffered as a result of such actions. 
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+For more info, please visit ltimindtree.com.","About Us:LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com. Job Title: Data Scientist with Python Work LocationUSA (Tampa, FL) (Onsite/Hybrid)Job Description:Minimum 6+ years of industry experience in enterprise level AI model development and deployment exposureShould have sound knowledge in time series data and statistical data analysis Hands on experience in large Dataset Pre-processing, data cleansing techniques for unstructured data, data pre-processing and data ingestion Deep knowledge and hands on implementation exposure in feature engineering techniques to comprehend expected model outcome - aligning to a given domain led business outcome Experience in Deep learning and Natural Language Processing (NLP) for Text Classification Topic Modelling Sound knowledge on transformer architecture having one of the language model application exposures is a must - Vector DB, Word2Vec, BERT, ColBERT, spaCy, GPT, etc with semi supervised model building experience Sound knowledge of LLM model tuning and conceptual level understanding of how last layer training with self-attention and other hidden layers that are required for LLM model re training MLOps with enterprise scale AI model management deployment exposure and existing model retrain exposure is an added advantageDevelopment experience in Python and or R for data pre-processing, model pipeline builds and data visualizationGood understanding on Data Visualization tools and dashboard creation is an added advantage Familiarity of different data source ingestion management SQL, NoSQL DB and streaming dataMANDATORY CERTIFICATION: Python Institute - Certified Associate in Python ProgrammingBenefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):Benefits and Perks:Comprehensive Medical Plan Covering Medical, Dental, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid Paternity and Maternity LeaveThe range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office:In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.",Mid-Senior level,Data Scientist
+698,2025-04-04,Knoxville,TN,Tombras,http://www.tombras.com,"Tombras is a 450+ person, full-service agency with a digital mindset. We are one of the top independent agencies in North America. We are united by our philosophy: Connecting Data & Creativity for Business Results.®
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+
+2023 AdAge A-List Standout 
+2022 ADWEEK US Agency of the Year (Finalist)
+2021 Fast Company World Changing Ideas
+
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+Clients include Orangetheory Fitness, MoonPie, BUSH's Beans, Rolls-Royce, Pernod Ricard, Frito-Lay, Zaxby's
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+
+
+","Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided.The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing:Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the resultsDevelop the framework and approach for marketing science and develop bespoke offeringsEmploy best in class tooling to develop proprietary Martech in partnership with the Technology and Media practicesIdentify new and innovative data sets that can be used to improve existing modeling work, or deliver net new modelsClearly articulate statistical results to clients, ultimately leading to continued client engagement and implementationWhat you bring:M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research(Optional) Experience in marketing science or advertising analyticsMastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice ModelsStrong competency with python, R, SQL, and other commonly used statistical toolsClient services mindsetAbility to influence clients and partner agencies to act on insightsAbility to distill complicated information into succinct graphical presentations for senior stakeholdersWhy Join Tombras Analytics?Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.Why you’ll want to work at Tombras:You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You’ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.Tombras Benefits:Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly officesUnlimited PTOGenerous parental leave for primary and non-primary caregivers.Medical (PPO or High Deductible option) for employee + dependents401(k) ParticipationEmployer-paid Dental & VisionA company culture of promotions from within and an atmosphere allowing for varied and rapid career development.New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values.Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.Tombras is an E-Verify employer and participates in the E-Verify program.This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.",Not Applicable,Data Scientist
+699,2025-04-02,California,94086,Intuitive,http://www.intuitive.com,"Intuitive (Nasdaq: ISRG), headquartered in Sunnyvale, Calif., is a global technology leader in minimally invasive care and the pioneer of robotic-assisted surgery. At Intuitive, we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.","Company DescriptionAt Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.Job DescriptionThe Ion™ endoluminal system is Intuitive's new robotic platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. As an algorithms engineer on the Ion project, you will join a small team of robotics and software experts. You will play a lead technical role, working to conceptualize, design, and evaluate new aspects of a guidance software solution.Work as part of a cross-functional team in a fast-paced, start-up-like business unitDevelop new algorithms and software implementations related to medical image analysis and/or computer visionPrototype and iterate on designs, develop tests, and deliver high-quality software in C++Create requirements and formal test protocols for new featuresQualificationsMS or PhD in CS, EE, ME, BioE or related fields with 6+ years of related experienceGreat communication skillsExceptional programming skills; C++ knowledge preferredDemonstrated expertise in computer vision, medical image analysis, registration, robotics, sensor fusion, and/or machine learningDemonstrated ability to systematically troubleshoot and debug complex systemsHigh levels of autonomy and technical ownershipBonus points for:Experience with development in LinuxExperience with OOP designKnowledge of one or more of the following libraries and tools: OpenCV, PyTorch, TensorFlow, ITK, VTK, ROSExperience with medical devices and product development in a regulated industryCandidates at all experience levels are encouraged to apply, as the seniority level of the position may be adjusted based on the applicant.Learn more about the compelling, collaborative work environment of the Ion Software Engineering Team here.Additional InformationDue to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.Intuitive is an Equal Employment Opportunity / Affirmative Action Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.EEO and AA PolicyWe will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.Base Salary Range Region 1: $155,000 USD - $223,000 USDBase Salary Range Region 2: $131,800 USD - $189,600 USDShift: DayTravel: NoneWorkplace Type: Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.",Mid-Senior level,Future Opportunity -- Machine Learning Engineer
+700,2025-04-09,McLean,Virginia,Dexian,http://www.dexian.com,"Dexian is a leading provider of staffing, IT, and workforce solutions with nearly 12,000 employees and 70 locations worldwide. As one of the largest IT and professional staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was launched in 2023 and created from the combination of DISYS, Signature Consultants, and other strategic acquisitions.
+
+Dexian fuses the best elements of its legacy companies to create a platform that connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.
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+Dexian’s brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit www.dexian.com to learn more.
+","Job Title: AI/ML Engineer / Data ScientistLocation: Jersey City, NJ [OR] McLean, VA [OR] Boston, MA ( Choose Any 1 )Hybrid: 3 days Onsite & 2 days REMOTEDuration: 8 Months (CONTRACT TO HIRE)Pay Range: $70 - $75/hr Description:Looking for a hands-on AI/ML Engineer to join our dynamic Technology Research and Innovation team, where you'll play a pivotal role in spearheading AI initiatives and innovation.As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement. Skills & Experience Needed:  6+ years of experience in Machine Learning and Data Science.Hands on experience with writing code, machine learning technologies, API development/Python, Pandas, NumPyExperience in Generative AI (RAG/ Agentic AI apps)Strong programming skills in PythonExperience working with large datasets and performing data analysis.Experience with Machine Learning, Data Visualization, and Generative AI libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain).Experience in Prompt Engineering, LLM Fine Tuning, and evaluation techniquesProven experience in developing and deploying machine learning models in a production environment.Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic AI Workflow, Statistical methods, data structures, and algorithms.Experience with Snowflake Data Pipelines (stream, task, UDF) and Cortex features is a plusExperience with AWS Sage Maker, Bedrock, and AWS cloud platform for deploying AI solutions.Experience in building Asynchronous Python APIs for model inferencing.Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.Previous experience in a similar role or industry is preferred.Passion for learning and staying up-to-date with the latest advancements in AI fieldExcellent communication and collaboration skills. Strong problem-solving skills and analytical thinking Responsibilities: Python API Development:Develop scalable APIs in Python (fastApi, Apache, Gunicorn, Uvicorn) for model inferencingGenerative AI Application DevelopmentDevelop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.Model Development and DeploymentDesign and develop machine learning models and algorithms to address business challenges and improve product features.Deploy machine learning models in production environments to ensure scalability and efficiency.Optimize and refine models based on performance metrics and feedback.Data ManagementCollect, clean, and preprocess data from various sources to create robust datasets for training and evaluation.Implement data augmentation and feature engineering techniques to enhance model performance.Maintain and manage data pipelines to ensure seamless data flow and integration.Research and InnovationStay updated with the latest trends and advancements in AI and machine learning technologies.Conduct research to explore new methodologies and techniques that can be applied to current and future projects.Collaborate with cross-functional teams to drive innovation and implement cutting-edge solutions.Collaboration and CommunicationWork closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals.Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.Desired Skills and ExperienceMachine learning, Data Science, AI, ML, Python, GenAI, Generative AI, Large Language Models, LLMs, TensorFlow, Python, NLPDexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.",Mid-Senior level,AI / ML Engineer / Data Scientist
+701,2025-04-07,New York,New York ,Cedar,http://www.cedar.com,"Cedar is the leading financial experience platform for healthcare providers who prioritize patients. Cedar delivers healthcare’s top patient financial experience platform for modern revenue cycle teams. Starting with consumer-grade technology, we offer the only platform that integrates a patient’s billing and benefits information in one simple payment experience. Our platform is a must-have for finance leaders to increase patient payments while boosting patient loyalty. ","Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S.Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. The RoleWe're seeking a Senior Data Scientist to join our Commercial Analytics team and develop scalable analytics tooling that drives action. The Commercial Analytics team's goal is to enable our clients to understand, appreciate, and extract the most value out of their Cedar relationship and products. The team's ambition is to satisfy and delight Cedar's clients through access to data and insights that:Help them build trust in Cedar's products and recognize the value they deliverEmpower them to take advantage of Cedar's varying features and levers to maximize valueAs a Senior Data Scientist, you will be viewed as a force multiplier for your squad, displaying leadership and beginning to have impact beyond your own tasks. You will lead squad-level projects, mentor junior team members, and drive decision-making within your team. You will develop expertise in Cedar's data ecosystem and translate business problems into actionable insights that drive strategic decision-making at the squad level.Key ResponsibilitiesLead the successful delivery of Squad-level KRs with measurable business valueDesign and develop comprehensive analytics tooling and dashboards that drive strategic decision-makingExecute ambiguous projects independently, proactively asking for help when neededLead and execute complex ad-hoc data analyses, translating findings into scalable analytics solutionsServe as a thought partner to client-facing teams, providing data-driven insights that enhance client relationshipsDevelop and optimize data pipelines in dbt, ensuring data quality and reliabilityUtilize Python and SQL for notebook-based exploration and sophisticated ad-hoc analysesPresent and communicate data findings and methodology to commercial stakeholdersPartner with Data Engineers to implement robust data infrastructure for complex analysesMentor junior team members and provide constructive feedback within your teamIdentify and advocate for opportunities to deliver impact within your squadSolve hard problems that require depth of expertise in your domainProactively take on new challenges and projects to better the teamSkills and Experience7+ years of experience in analytical roles, with demonstrated impact on business outcomesStrong proficiency in SQL and visualization tools (e.g., Looker, Tableau, Power BI)Experience developing and maintaining data pipelines in dbtProficiency in Python for data analysis and notebook-based explorationsAbility to translate business problems into structured analytical approachesStrong presentation and communication skills, with ability to influence decision-making within the teamAnalytical ability and understanding of statistical methodsExperience decomposing ambiguous problems and executing on solutionsProactive attitude, ownership mentality, and growth mindsetAbility to accurately represent your work and its value to partners within CedarExperience mentoring junior team members is a plusKnowledge of or experience in the healthcare industry is a plusApplicants must be currently authorized to work in the United States on a full-time basis. Compensation Range and BenefitsSalary/Hourly Rate Range*: $178,500 - $210,000This role is equity eligibleThis role offers a competitive benefits and wellness package*Subject to location, experience, and education What do we offer to the ideal candidate?A chance to improve the U.S. healthcare system at a high-growth company! Our leading healthcare financial platform is scaling rapidly, helping millions of patients per yearUnless stated otherwise, most roles have flexibility to work from home or in the office, depending on what works best for youFor exempt employees: Unlimited PTO for vacation, sick and mental health days–we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to workDiversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians) Competitive pay, equity (for qualifying roles) and health benefits that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month)Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensationAccess to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personallyAbout usCedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. ""Over the past several years, we've raised more than $350 million in funding & have the active support of Thrive and Andreessen Horowitz (a16z). As of November 2024, Cedar is engaging with 30 million patients annually and is on target to process $3.5 billion in patient payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Novant Health, Allina Health and Providence.",Director,Sr. Data Scientist (Commercial Analytics)
+702,2025-03-14,Reading,MA,Eliassen Group,http://www.eliassen.com,"Eliassen Group is a leading strategic consulting company that provides business, clinical, and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on three main areas: technology solutions, clinical solutions, and financial, risk & compliance, and advisory solutions. Eliassen Group prides itself on its purpose to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. 
+
+Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
+
+Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. Also, please ensure that you are working directly with us by confirming the following:
+
+1. When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
+
+2. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
+
+3. If anyone seemingly from Eliassen Group has ever requested this personal information in the past or does so in the future, please contact InfoSec@eliassen.com. If you're ever uncertain, you're welcome to reach out to a confirmed Eliassen Group employee on Linked to confirm a job opportunity.","**Hybrid | Greenwood Village, CO**Our client has an exciting opportunity for a Data/ML Engineer. In this role you will:Design, build, and maintain ETL/data pipelines to enable large-scale analytics and machine learning workflows.Establish and support MLOps best practices for seamless integration and deployment of models into production.Collaborate with Data Scientists to operationalize and optimize NLP/Classification models. Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.Rate: $62 - $72 / hr. w2Responsibilities:Data Pipeline ArchitectureDevelop end-to-end data flows for ingestion, transformation, and storage (batch/streaming).Set up scalable data processing frameworks (AWS services, Spark, or Databricks).MLOps & DeploymentImplement automated CI/CD pipelines for model training, testing, and deployment.Monitor production models, ensuring reliability, scalability, and performance metrics are tracked.Infrastructure & ToolingLeverage AWS (S3, EMR, Lambda, etc.) and Azure for distributed data processing.Optimize cluster configurations and job scheduling for cost and performance efficiency.Collaboration & SupportWork closely with the Data Scientist to integrate NLP/Classification models into real-time or batch data pipelines.Troubleshoot and resolve pipeline issues quickly.Requirements:Programming: Strong Scala and Python skills; Spark or PySpark for distributed data processing.Cloud: Deep knowledge of AWS-based data pipelines (EC2, ECS/EKS, EMR, S3) and some Azure experience.Data Engineering: ETL frameworks, data warehousing solutions (e.g., Redshift, Snowflake) a plus.MLOps: Familiarity with MLflow, Docker, Kubernetes, or other containerization/orchestration frameworks.Additional Qualifications5+ years of data engineering or ML engineering experience (or equivalent).GitHub portfolio demonstrating data pipelines, infrastructure-as-code, or MLOps projects.Strong analytical and problem-solving skills, with ability to support a growing ML environment.Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com.Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.JOB ID: JN -032025-101197",Mid-Senior level,Data / ML Engineer
+703,2025-04-09,Mountain View,CA,Google,https://goo.gle/3DLEokh,"A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
+
+Check out our career opportunities at goo.gle/3DLEokh","The application window will be open until at least April 9, 2025. This opportunity will remain online based on business needs which may be before or after specified date.This role's primary work location is Seattle/Kirkland. During the application process, you will be able to indicate any additional preferred working locations. We encourage all qualified individuals to apply, and we will consider your skills and interests for other open positions across our available locations.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Austin, TX, USA; Boulder, CO, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; San Diego, CA, USA.Minimum qualifications:Bachelor's degree or equivalent practical experience.1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript) in an industry setting.Experience working with one or more of the following: Web or Mobile Application Development, Unix/Linux environments, Distributed and Parallel Systems, Machine Learning or AI, Information Retrieval, Natural Language Processing, Networking, Developing Software Systems, or Security Software Development.Preferred qualifications:Master's degree in Computer Science or a related technical field.Experience developing accessible technologies.Experience with machine learning algorithms and tools, Basics of Machine Learning, Generative AI, Recommendations/Ranking/Predictions, Natural Language Processing, Speech Audio, Machine Learning Infrastructure, Reinforcement Learning, and Computer Vision.Experience developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.About The JobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Cloud to Google Ads, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.The US base salary range for this full-time position is $118,000-$170,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .ResponsibilitiesDesign, develop, test, deploy, maintain, and improve software.Manage project priorities, deadlines, and deliverables.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .",Entry level,"Software Engineer II, Early Career"
+704,2025-04-09,Redwood City,California,Snorkel AI,https://snorkel.ai,"Snorkel AI makes AI development fast and practical by transforming manual AI development processes into programmatic solutions. Snorkel AI enables enterprises to develop AI that works for their unique workloads using their proprietary data and knowledge 10-100x faster. Five of the top ten US banks, several government agencies, and Fortune 500 companies use Snorkel. Snorkel’s core research was developed at Stanford AI lab and is deployed at Google, Intel, Apple, IBM, DARPA, and other trailblazing organizations. Backed by Addition, Greylock, GV, In-Q-Tel, Lightspeed Venture Partners and funds and accounts managed by BlackRock, the company is based in Palo Alto. For more information on Snorkel AI, please visit: https://www.snorkel.ai/ or follow @SnorkelAI.","We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!Snorkel AI is enabling a paradigm shift in ML development by helping organizations take a programmatic approach to machine learning application development. In support of our growth, we are recruiting a high caliber founding team of ML solution engineers to join our fast growing GTM team. In this role, you will act as a trusted advisor to prospective and existing customers. You will also work directly with our co-founding team, sales team, product team and ML Engineering team to provide value-based evaluation scenarios including demonstrations, labs, and POVs, to aid in closing business. You will sit at the intersection of product, sales and engineering and will work with the broader team to continue building Snorkel Flow into the leading platform for data-first AI.Main ResponsibilitiesMachine Learning Solution Engineers own the technical aspects of the sales cycle, designing and leading a tailored and business value-aligned technology evaluation processServe as our first line expert educators on the Snorkel Flow Platform, building demos and presentations for customers and field experts Act as the primary customer-facing technical resource during customer / partner meetings and technology evaluations, working at all levels in the organization with Data Scientists, AI/ML practitioners, Architects, Technologists, Product owners, Transformation leaders, LOB & C-level executivesServe as a trusted advisor on AI to help customers with their end-to-end vision; AI strategy, operating model & architectural best practices, problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption.Partner with sales leadership to achieve quota targets while also ensuring our customers are well positioned for a successful hand-off to our post-sales and customer success teams.Provide guidance to revenue leaders on sales strategy, product obstacles/gaps and represent the team's needs to executive staffInterpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions that help customers to accelerate critical business outcomes with AI.Collaborate and maintain a close working relationship with our co-founders, product, engineering, sales, and marketingSystematize and playbook pre-sales activities, such as demo and POC assets. Preferred Qualifications2+ years of experience in customer facing technical roles (can include sales at a B2B software company or DS/ML consulting)Experience executing a value centric sales motion using MEDDPIC, Command of the Message or other value centric sales methodologies and qualification frameworksExpertise in modern machine learning frameworks and technologies (e.g. PyTorch, TensorFlow, transformers)Knowledge of industry standard technologies in the Data Science and Machine Learning space Fluency with scripting in PythonHands-on experience building and implementing machine learning or AI modelsExperience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomesOutstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demosAbility to connect a customer's specific business problems to Snorkel’s differentiated platform and unique approach to ML development.University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferredBe Your Best At SnorkelSnorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.Snorkelers are supported by an amazing team and an amazing set of benefits. For Full-time employees, we offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.",Entry level,Machine Learning (Pre-Sales) Solutions Engineer
+705,2025-04-09,San Francisco,CA,Forage,http://www.joinforage.com,"Forage is a mission-driven payments company helping merchants accept government benefits through a single, unified API. Today, over 42 million Americans receive government assistance, such as SNAP (Supplemental Nutrition Assistance Program), to buy groceries. Starting with enabling EBT SNAP and EBT Cash, Forage builds the financial infrastructure empowering merchants to serve the underserved.","About UsForage is a mission-driven payments company that is helping merchants accept government benefits through a single, unified API. Today, over 42 million Americans receive government assistance (ex: Supplemental Nutrition Assistance Program, or SNAP) to buy groceries.Starting with enabling EBT SNAP online, Forage builds the financial infrastructure empowering merchants of all shapes and sizes to serve these shoppers online.We function as a hybrid organization, actively hiring across North America. While we embrace remote work, we prioritize candidates who can frequently contribute from our San Francisco or New York offices.You could work anywhere, so why Forage?Play a direct role in democratizing access to government benefits, transforming how we empower, feed, and serve American families in needJoin a pre-IPO, mission-driven startup with capital, traction, and runway (100X revenue growth in 2 years)Work closely with brilliant ‘Foragers’ from companies like Instacart, Stripe, Affirm, Uber, Google, and moreDisrupt a massive market and take us to a $1B+ business in the next few yearsJoin a talent-dense environment and significantly accelerate your career growth, backed by some of the best investors and partners in FinTech (Nyca, PayPal, etc.)What We Are Looking ForWe're seeking a Product Engineer who thrives on building features that delight users while maintaining high technical standards. The ideal candidate has 3-5 years of hands-on experience crafting user-facing products, with expertise in modern web technologies, Python, and frameworks like Django. You understand how to balance technical trade-offs with customer needs with a focus on backend development.Beyond coding, we value engineers who can effectively partner with product managers and designers to shape features from concept to launch. You should have experience leading medium-scale projects and a track record of breaking down complex product requirements into clear technical specifications. We're looking for someone who enjoys the full product development lifecycle - from user research and prototyping to implementation and iteration.Communication is essential in this product engineering role, as you'll collaborate closely with our product and design teams to understand user needs and translate them into elegant technical solutions. You should be comfortable giving and receiving feedback during product reviews and design critiques, while also being able to clearly explain technical constraints and opportunities. A passion for great user experience and a natural curiosity about how your code impacts real users will help you thrive in this position.QualificationsBachelor's degree in Computer Science, Engineering, or a related field, or equivalent industry experience3-5 years of experience in product engineering backend rolesStrong understanding of cloud platforms (ideally AWS) and their services.Proficient in scripting and automation using languages, ideally PythonExperience with web frameworks like DjangoStrong problem-solving skills and the ability to work independently and in a teamExcellent communication skills to collaborate with development teams and advocate for infrastructure needsExperience leading medium-scale projects involving another engineerExperience collaborating with cross-functional partners like product managers and solutions engineeringKey ResponsibilitiesCollaborate with product leaders to implement company objectives.Contribute to innovation related to the team’s mission of quality and scalability. Provide mentorship and guidance to team members on product engineering best practices.Serve on the on-call rotation to support high availability goals.Our OfferYour base salary would fall within the bands below. Please keep in mind that the equity portion of your offer is not included in these numbers and represents a significant part of your total compensation.Compensation: $125k-$160k USD base + equity + benefitsMeaningful work that makes a positive impact on our society.100% of Medical, Dental and Vision premium coverage for yourself and dependents. Enjoy regular team lunches at our San Francisco and New York offices , fostering collaboration and connection over great food.A fun and caring environment that prioritizes transparency, growth, and ownership.A talented, diverse, high-achieving, and humble team with diverse backgrounds and viewpoints.Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education or training.We aim to review every application within 3 business days of submission and provide feedback on each of your interviews within 2 business days of completion. Max, our AI recruiter, may reach out with follow-up questions.",Entry level,Software Engineer
+706,2025-03-28,Mumbai,Maharashtra,Tata Consultancy Services,https://www.tcs.com/,"Tata Consultancy Services (TCS) is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys since its inception in 1968. Our consulting-led, innovation-driven services help businesses evolve as perpetually adaptive enterprises, staying ahead in an ever-changing digital landscape. Recognized for excellence in software development, we rapidly apply and scale new technologies, driving long-term value and scalable transformation. Many of these relationships have endured for decades, navigating every technology cycle from mainframes in the 1970s to Artificial Intelligence today.
+ 
+A part of the Tata Group, India’s largest multinational business group, TCS has a highly skilled workforce of over 607,000 consultants in 55 countries and 180 service delivery centers across the world.
+ 
+Caution against fraudulent job offers: TCS doesn’t charge any fee throughout the recruitment process. Refer here: https://www.tcs.com/careers/india/recruitment-fraud-alert","We are seeking a talented Machine Learning / ETL Engineer to join our IT team and take on the challenge of advancing our Business Intelligence initiatives. In this role, you will be responsible for designing, developing and optimizing ETL / ELT processes for large-scale data processing and leveraging Machine Learning frameworks to perform data quality and anomaly detection across 1st and 3rd party datasets. You will work closely with analysts, data scientists, and other stakeholders to understand business requirements and translate them into high quality solutions. As a key member of our Business Intelligence IT team, you will leverage your expertise in machine learning algorithms, data engineering, and data analytics to drive ETL / ELT solutioning from a wide variety of datasets. You will play a critical role in maintaining data integrity and ensuring the timely availability of data for analytical purposes. We are looking for someone who is not only technically proficient but also possesses strong problem-solving skills and a passion for continuous learning in the rapidly evolving business.Responsibilities• Architecting and implementing robust, high-performance data pipelines across various data sources (databases, APIs, web services) to efficiently process and transform large datasets. • Enable and ensure data collection from various sources and loading it to a data lake, data warehouse, or any other form of storage.• Proficiently utilizing cloud platforms Snowflake, AWS, GCP to build scalable data processing solutions, including managing data lakes and data warehouses. • Developing and implementing data quality checks and monitoring systems to ensure data accuracy and reliability throughout the data pipeline. • Contribute to data documentation and governance strategies, including data access controls, data lineage tracking, and data retention policies. • Collaborating closely with data analysts, data scientists, and business stakeholders to understand data needs, translate requirements into technical solutions, and deliver actionable insights. • Excellent analytical and problem-solving skills, with the ability to work independently and in a team environment.Qualifications:• 7+ years of experience with data warehouse technical architectures, ETL/ ELT, reporting/analytic tools, and scripting.• Extensive knowledge and understanding of data modeling, schema design, and data lakes.• 5+ years of data modeling experience and proficiency in writing advanced SQL and query performance tuning with on Snowflake in addition to Oracle, and Columnar Databases SQL optimization experience.• Experience with AWS services including S3, Lambda, Data-pipeline, and other data technologies.• Experience implementing Machine Learning algorithms for data quality, anomaly detection and continuous monitoring, etc.Required skills and experience:• Strong proficiency in Python, SQL for data manipulation and processing. • Experience with data warehouse solutions for Snowflake, BigQuery, Databricks.• Ability to design and implement efficient data models for data lakes and warehouses.• Familiarity with CI/CD pipelines and automation tools to streamline data engineering workflows • Deep understanding of principles in data warehousing and cloud architecture for building very efficient and scalable data systems.• Experience with Apache Airflow and/or AWS MWAA• Experience with Snowflake’s distinctive features, including multi-cluster architecture and shareable data features.• Expertise in distributed processing frameworks like Apache Spark, or other big data technologies is a plus.Requirements:• Bachelor's degree in Computer Science, Information Technology, or a related field.• Proven experience as an ETL Engineer or similar role in data engineering.• Strong understanding of ETL concepts, tools, and best practices.• Proficiency in programming languages such as SQL, Python.• Experience with ETL tools/platforms Databricks, IBM DataStage is a major plus.• Knowledge of data warehousing concepts and architecture.• Ability to work collaboratively in a team and manage multiple tasks effectively.Salary Range: $90,000-$140,000 a year",Mid-Senior level,Machine Learning / ETL Engineer
+707,2025-04-06,,,"Applied Concepts, Inc.",https://www.stalkerradar.com/,"Applied Concepts, Inc., (d.b.a. Stalker Radar) began as a small contract engineering and manufacturing business in 1975. In the years that followed, ACI applied its engineering and manufacturing expertise to develop the largest patent portfolio in the industry and create an array of products aimed at specialized and niche markets.
+
+Today ACI has over 165 employees and a diversified product line that impacts a variety of industries. Their Stalker Radar brand includes products designed for law enforcement, traffic control, and OEM speed measurement, while their Stalker Sport line utilizes their technology in radar products designed for baseball, softball, tennis, acceleration measurement, and other sports.
+
+Headquartered in Richardson, Texas, ACI’s products are shipped to customers around the world. They have earned their reputation in the global marketplace due to their consistent accuracy, durability, and innovation.
+","Data Scientist Internship at Applied ConceptsImmediate Opening - Richardson, TXData Scientist Intern - Job OverviewApplied Concepts has been known for its outstanding law enforcement Radar & Lidar systems for over 47 years. We're based in Richardson, TX, less than 3 miles from the UTD campus. We're rapidly expanding our data science initiatives to harness the power of AI and machine learning in traffic and public safety applications. Our team is looking for a motivated Data Scientist intern to join us for January 2025 and beyond.We are hiring one intern (with flexible start dates); hours per week will be project-based and negotiable in advance. This internship requires occasional availability for scheduled onsite meetings, but is primarily a work-from-home position.The compensation for this internship is $20-$25 per hour, based on skill set and education level. (No relocation assistance is possible for out-of-area candidates).Data Scientist Intern - What You'll GainCareer-building experienceCompetitive compensation Rewards and recognition programsLearning and development opportunitiesCode reviews and mentoring from industry expertsConvenient office locationExcellent work/life balanceGreat culture and collaborative environmentPaid company holidays and floating holidaysPossible extended work opportunitiesA personalized recommendation letter from ACI's President upon successful completion of the internshipData Scientist Intern - How You'll Make An ImpactAs a Data Scientist Intern, you will work on real-world datasets collected from traffic enforcement and smart city systems. You will support the development of machine learning models for traffic forecasting, anomaly detection, and intelligent signal timing. You'll help the team create scalable pipelines, visualize results, and contribute to AI-based features that enhance public safety.UI Design Intern - What You'll Need To SucceedA Bachelor's or Master's degree in data science, computer science, engineering, or a related fieldProficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch. Strong understanding of statistical modeling and machine learning techniques. Experience working with structured and unstructured data. Good problem-solving and communication skills. Ability to explain technical concepts to non-technical stakeholders.Added Bonus If You Have Experience with SQL and database systems (MySQL or MS SQL). Exposure to time-series forecasting or anomaly detection techniques. Experience with tools like Apache Spark, Kafka, or Airflow. Familiarity with cloud platforms such as Azure, AWS, or GCP.  Experience with data visualization tools like Matplotlib, Seaborn, Plotly, or Power BI.Data Scientist Intern - What You'll Be Doing Analyze traffic sensor data to uncover patterns, trends, and anomalies. Build and validate ML models to improve forecasting accuracy and incident detection. Develop data visualizations and dashboards for internal use and city officials. Collaborate with software and data engineering teams to integrate ML solutions into production systems. Present findings and recommendations to stakeholders across departments.Who We AreApplied Concepts is a 47-year-old, 250-person privately owned company, located in Richardson, Texas. Founded in 1977 by an electrical engineer, we have a long history of profitable, organic growth. Our company remains entrepreneurial at heart, constantly re-inventing ourselves with new products and new markets, but still balanced with business prudence. We manufacture our own products, in our own facilities. Integrating our product development with our own manufacturing resources is a key part of our business culture, keeping us nimble and able to provide high quality products.What We DoWe focus on designing, manufacturing, and selling products that promote public safety. We are the number one supplier of speed enforcement products to law enforcement in the United States. Our employees take pride in the quality of our products and the service we provide in keeping our streets and neighborhoods safe. We offer a variety of engineering challenges, from microwave to high-speed lasers, to image capturing and processing, and LED traffic calming devices.To learn more about us and explore career opportunities, please visit: www.stalkerradar.comwww.streetdynamics.comwww.stalkersport.comOnly qualified candidates selected for an interview will be contacted. U.S. Citizenship or U.S. Permanent Resident (Green Card) required. Sorry, NO Sponsorship FOR U.S. VISAS (no H-1B, etc.). Only qualified candidates selected for an interview will be contacted.",Internship,Data Scientist Internship
+708,2025-04-02,Denver,Colorado,Ibotta,http://www.ibotta.com,"Built in Denver, CO, Ibotta (""I bought a..."") (NYSE: IBTA) is a performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale.
+
+Guided by our values and our mission to Make Every Purchase Rewarding, we come to work energized by the business problems we get to solve, the technology we build, the innovative people we work (and have fun) with, and the consumers we get to help. To date, we have credited American consumers $1.8 billion. The largest tech IPO to come out of Colorado, Ibotta is headquartered in Denver.
+
+Ibotta has been named as a Top Workplace by The Denver Post five times, made BuiltIn Colorado’s Best Places to Work list four years in a row and appeared on Inc.'s list of Best Workplaces in 2017 and 2023.
+","Ibotta is seeking a Data Scientist to join our Marketing Analytics team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data analyses, testing methodologies, and statistics to provide actionable insights to the Marketing Team.As a Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build trustworthy and robust datasets for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout.You’ll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team.This position is located in Denver, Colorado as a hybrid position requiring 3 days in office, (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.What you will be doing:Contribute to creating best practices for the teamInitiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modelingAnalyze large and novel datasets to extract actionable insights to inform model development and understand consumer behaviorProvide customized views of large and complex datasets to support data analysis and business decision-makingInform experimental design to formulate solutions addressing major business challenges and innovation opportunitiesBuild models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using techniques to measure and optimize model performanceHarden data pipelines and models for production deployment and monitoring of performance over timeEmbrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhereWhat we are looking for:2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experienceBachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferredA passion for driving important decisions using data and data storytellingA love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plusDemonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithmsDemonstrated Python and/or R skills. Spark or PySpark experience is a strong plusBroad and general statistical and mathematical knowledge and skillsExcellent analytical and problem solving skillsDemonstrated knowledge, skills, and abilities in database manipulation, query languages, and graph data schemasExposure to or interest in manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streamsExposure to or interest in MLOps a strong plusAbout Ibotta (""I bought a..."")Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, and 401k match. Denver office perks include paid parking, bagel Thursdays, snacks and occasional meals.Base compensation range: $100,000 - $115,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basis.For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.Recruiting Agency NoticeIbotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.#BI-Hybrid",Entry level,"Data Scientist,  Marketing Analytics"
+709,2025-04-09,McLean,Virginia,Bcore,https://www.bcore.com,"Bcore was founded out of the urgency to build secure tailored solutions to address our clients' top mission needs. We are trusted advisors in the areas of Visual Intelligence, Technical Solutions, and Cyber Security.  We tackle our clients'​ toughest challenges and strive to bring innovation to all aspects of their mission.  Innovation begins with the hearts and minds of the passionate individuals we have at Bcore. 
+
+Bcore specializes in providing high-quality, results-driven, talent among these core disciplines:
+
+Visual Intelligence
+Technical Solutions
+Cyber Security
+Collaboration Solutions
+Cloud Solutions
+Systems Engineering
+Software Engineering
+Program Management
+Strategic Planning
+User Experience Design
+Systems / Project Integration","McClean, VATS/SCI with PolyAt Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Our goal is not to simply support efforts, but to ignite a technology revolution, bridging the growing technology gap between the Government and commercial space.Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a Data Scientist in McClean, VA.This role requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The customer requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines.Take the Sponsor’s mission needs and convert those into technical milestones consistent with the Sponsor’s data science requirements.Develop and manage data processing ETL pipelines.Provide ad hoc trainings to Sponsor’s data users on custom tools and data exploitation consist stent with established use cases.Utilize software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches.Identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows.Identify existing or emerging data science workflows within the Sponsor’s broader office that would accelerate the Sponsor’s data science mission.Leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor’s technical goals for data management.Anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor’s direction.Required Qualifications Demonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar.Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows.Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries.Demonstrated experience with a range of Python packages and graph databases.Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity.Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages.Desired QualificationsDemonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production.Demonstrated experience leading complex data science teams.Demonstrated experience with machine learning solutions.Demonstrated experience working with foreign and domestic partners of the Sponsor.Demonstrated experience writing custom algorithms for data exploitation.Demonstrated experience with complex graph database queries.Demonstrated experience working in high operational tempo environments.BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.",Entry level,Data Scientist
+710,2025-04-02,San Jose,CA,Vectra AI,https://www.vectra.ai,"Vectra AI is the leader in AI driven extended detection and response (XDR). The Vectra AI Platform delivers integrated signal across network, identity, cloud, SaaS, and Gen AI in a single platform. Vectra AI’s patented Attack Signal Intelligence empowers security teams to rapidly detect, prioritize, investigate and stop the most advanced hybrid cyber-attacks. With 35 patents in AI-driven detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI Platform and MDR services to move at the speed and scale of hybrid attackers. For more information, visit vectra.ai. ","Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.Position OverviewHelp us build great software that protects our customers around the world from an ever-increasing number of cyber attacks!As part of the Application Data Platform team, Software Engineers will work directly on Vectra's platform to build or enhance features that help solve customer problems. The ADP team supports cloud-based data streaming applications, providing the runtime environment, data input and output, metrics and visibility to live applications and extensive developer tooling to application developers.The position requires 1-2 days a week in our Austin, Texas office, to boost in-person collaboration and team culture. We have periodic events going on at the office for extra fun!Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.Base salary is expected to be $120,000 to $130,000 based on applicant's experience; all Vectra employees are eligible for the company yearly bonus (if funded), incentive stock options, health insurance and other standard company benefits.ResponsibilitiesTo be able to work on high-impact software projects, you will need to:Be comfortable writing and shipping code on a daily basisContribute to automated testing and other parts of end-to-end software deliveryWork collaboratively in a team with other experienced engineers, product managers, and designersEvaluate and identify the correct approaches or technologies to use to solve problemsQualifications RequiredRecent BS, M.S or Ph.D. graduate (or graduating by Summer 2025) in Computer Science or Computer EngineeringStrong applied software development experience; you've built, broken, and fixed software applications in one or more industry internship experiencesExperience with an object oriented programming language and data structuresProficiency in Unix/Linux environmentsExperience with a source control system, preferably Git DesirableKnowledge of networking and security fundamentalsExperience with databases and data managementWorking knowledge of cloud environmentsPerformance tuning skillsOur competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate's location, experience and relevant incumbent pay position. Vectra Total Rewards$120,000—$130,000 USDVectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program.Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.",Entry level,Software Engineer
+711,2025-03-11,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+712,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Leading projects or small teams of people to help them unblock, advocating for ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapsCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Masters degree or PhD in Computer Science or another ML-related fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+713,2025-04-09,San Francisco,California,Slack,http://slack.com,"Slack is on a mission to make people's working lives simpler, more pleasant and more productive. It is the productivity platform for customer companies that improves performance by empowering everyone with no-code automation, making search and knowledge sharing seamless, and keeping teams connected and engaged as they move work forward together. As part of Salesforce, Slack is deeply integrated into the Salesforce Customer 360, supercharging productivity across sales, service and marketing teams. To learn more and get started with Slack for free, visit slack.com or connect with us @SlackHQ.
+
+Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack’s values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
+
+Come do the best work of your life here at Slack.","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Senior Software Engineer with strong exposure to data to support the development of Machine learning models that leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. You will be working on creating large-scale data pipelines, continuous training / deployment, and enhancing our experimentation capabilities, as well as working along side both our Machine Learning modeling and infrastructure teams to help deliver ML features across Slack.At Slack, your impact can be huge:Here at Slack, we believe we can build terrific product experiences for our customers with ML + AI through letting users tap into their organizations’ collective knowledge. We have an opportunity to develop experiences that automate mundane tasks, efficiently find answers, and sift through the massive amount of information at a company to find what’s relevant for a particular worker. We’re investing in this area in a drive to make the work lives of the millions of knowledge workers who rely on slack day to day more productive and delightful.We have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.We operate at significant scale and our new ML platform group has significant opportunity to help better deliver ML capabilities across Slack. Our platform group is responsible for supporting data ingestion and transformation, feature creation and management, as well as ensuring that we have robust experimentation capabilities both offline and online. We are looking for highly talented engineers to help deliver across these objectives.What you will be doing:Develop software across the ML ops stack (e.g., data ingestion / processing, management of ML models, expand experimentation capabilities, etc.)Brainstorm with ML, infrastructure, and product engineers to deliver highly efficient and robust capabilities around creating and delivering ML models.Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.Support in the creation and management of ML features.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What you should have:Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Experience building big data processing pipelines with tools like Apache Spark, Hadoop, PySpark, SQL, etc.Experience orchestrating complex data ingestion and processing pipelines with tools like Airflow, Dagster, or Luigi.Have built large-scale, distributed, production ML/AI systems or other ML Ops systems professionally and can point to things you’ve worked on.An analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Led technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Mid-Senior level,"Sr. Software Engineer, ML Platform - Slack"
+714,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications Experience programming with at least one software programming language 3+ years of non-internship professional software development experience Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Hands-on experience with generative AI technologyPreferred Qualifications Bachelor's degree in computer science or equivalent Hands-on experience with at least one ML library or framework 1+ years of experience in developing, deploying or optimizing ML models. 2+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2918741",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center"
+715,2025-04-07,San Francisco,CA,Square,http://squareup.com,"Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
+
+So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next-generation shopper, increase order sizes, and compete at a larger scale.
+
+Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business and helping sellers worldwide do the same.
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+Square is part of Block, Inc. (NYSE: SQ), a global technology company with a focus on financial services.","Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale. Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.The RoleWe are seeking a highly motivated and experienced Staff Machine Learning Engineer with a specialization in Modeling to join our Go-To-Market (GTM) Expansion ML team at Square. Our team is dedicated to developing machine learning solutions that drive Square Seller growth by focusing on three key areas: Churn & Retention, Product Recommendations, and Customer Engagement Enrichment. The successful candidate will play a crucial role in shaping and executing our long-term strategy, enhancing seller retention, growth, and support. You will lead the development and maintenance of predictive models that power our GTM efforts and collaborate closely with stakeholders to align solutions with our campaigns and outreach strategies. As both a visionary leader and an executor, you will drive business and team growth.You WillDevelop and implement machine learning and deep learning models for churn risk assessment and product recommendations, analyzing seller activity across Square's ecosystem of payments, banking, and SaaS products.Design and build systems that utilize Generative AI, such as Large Language Models (LLMs), to address critical GTM and Customer Support business challenges and enhance interactions with Square sellers.Advocate for engineering best practices, and contribute to the upskilling of the team.Lead end-to-end cross-functional machine learning projects: build relationships with partner teams, frame problem statements, collect and analyze data, research and build prototypes, and productionize ML solutions by designing and developing their full pipelines.Set the standard for engineering quality, providing mentorship and technical guidance to the team.Collaborate with business leaders, subject matter experts, and decision-makers to establish success criteria and develop new ML & data products, features, and procedures.You Have8+ years of experience in ML software development.Strong understanding of and experience with the entire ML development lifecycle, including project setup, data pipelines, model training/serving, and monitoring.Proven track record of designing and maintaining production-level machine learning systems.Experience with large language models and generative AI.Expertise in recommendation systems and practical experience in developing and applying them.Strong grasp of computer science fundamentals.Proficient coding skills and comfort with coding in production systems.Commitment to writing clean and maintainable code.Interest in shaping the mission and roadmap of the team and rallying others to join you.Effective communication skills with both technical and non-technical audiences.Eagerness to share your own ideas and openness to considering those of others We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and ""fair chance"" ordinances.  Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.  Zone A:: $228,700 USD - $343,100 USDZone B: : $217,300 USD - $325,900 USDZone C:: $205,900 USD - $308,900 USDZone D:: $194,500 USD - $291,700 USD Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.Privacy Policy",Mid-Senior level,Staff Machine Learning Engineer - Expansion ML
+716,2025-04-02,Wilmington,Delaware,CSC,https://www.cscglobal.com,"CSC is the world’s leading provider of global business administration and compliance solutions, specialized administration services to alternative asset managers across a range of fund strategies, transactions involving capital markets participants in both public and private markets, domain name system management and digital brand and fraud protection, and corporate tax software solutions. We are the trusted partner of choice for more than 90% of the Fortune 500®, more than 90% of the 100 Best Global Brands®, and more than 70% of the PEI 300. Founded in 1899 and headquartered in Wilmington, Delaware, USA, CSC prides itself on being privately held and professionally managed for more than 120 years. CSC has office locations and capabilities in more than 140 jurisdictions across Europe, the Americas, Asia Pacific, and the Middle East. We are a global company capable of doing business wherever our clients are—and we accomplish that by employing experts in every business we serve. We are the business behind business®. ","Job DescriptionAI/ML Software EngineerBuffalo Grove, IL / Wilmington, DEMonday – Friday 8:00 am – 5:00 pm RemoteCandidates for this position must be eligible to work in the United States without sponsorship. Time on-site or time zone may be necessary based on business needs.OverviewAre you passionate about AI/ML and eager to apply your skills to solve real-world business problems? Do you thrive in a collaborative, innovative, and growth-focused environment? If so, we want you on our team!Join our innovative team in creating cutting-edge AI/ML solutions for Fortune 500 companies. As an AI/ML Software Engineer, you'll play a key role in designing, developing, and deploying scalable machine learning systems. You'll collaborate with industry experts and contribute to impactful projects that push the boundaries of AI applications.We believe in nurturing talent. You'll receive mentorship from senior engineers, engage in challenging projects, and have opportunities for growth. Join us in shaping the future of AI-driven solutions and making a real impact. If you're passionate about AI/ML and eager to grow, we'd love to hear from you!Some of the things you’ll be doing:Design, develop, and optimize AI/ML models for real-world applications. Implement and maintain scalable, cloud-based ML solutions. Collaborate with cross-functional teams, including engineers, researchers, QA, and product managers. Write clean, efficient, and well-documented code following best practices. Participate in code reviews and contribute to improving development standards. Stay up to date with the latest AI/ML research and emerging technologies. Optimize data pipelines, model deployment, and inference performance. Take ownership of projects, contribute to team success, and deliver business value. What technical skills, experience and qualifications do you need?Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. 1-3 years of software development experience, with a keen interest in AI/ML. Strong programming skills, particularly in Python and related tools. Strong proficiency with AI/ML frameworks (PyTorch, TensorFlow, Scikit-Learn, XGBoost, etc.). Solid understanding of machine learning concepts, algorithms, and best practices. Experience with cloud platforms (Azure, AWS, Google Cloud, etc.) and MLOps tools. Experience with web frameworks (FastAPI, Svelte, React, etc.). Experience with graph databases, knowledge graphs, and vector databases. Knowledge of data structures, algorithms, and object-oriented programming. Strong problem-solving skills and eagerness to learn. Excellent communication and teamwork skills. Self-motivated with a passion for AI/ML and software development. Nice-to-have Skills And ExperienceUnderstanding of microservices, containerization (Docker, Kubernetes), and CI/CD. Exposure to large-scale data processing frameworks (Dask, Spark, Ray, etc.). Experience in feature engineering, model explainability, and bias mitigation. Familiarity with deploying ML models in production environments. Knowledge of the Azure and Azure AI Foundry ecosystems. Experience working in an Agile environment #CSC #CSCCareers #TechJobs #CorporateTaxAbout UsCSC is a global business, legal, and financial services company based in Wilmington, Delaware, USA, providing knowledge-based solutions to clients worldwide. We have offices and capabilities in over 140 jurisdictions in the Americas, Europe, Asia Pacific, and the Middle East, and more than 8,000 colleagues. We are the business behind business.®Visit our careers site to learn more about CSC and our commitment to our clients, communities, and each other.CSC is committed to creating a feeling of belonging through a diverse and growth-oriented environment where everyone is valued.CSC colleagues have global career opportunities and excellent benefits, including annual success-sharing bonuses or commission plans based on individual performance. To learn more, visit cscglobal.com/service/careers .We offer a range of support to colleagues with disabilities, ensuring people have the necessary resources to thrive in their roles. We encourage candidates to work closely with our talent acquisition partners to convey their specific needs. Our commitment to accessibility reflects our broader dedication to diversity and belonging,CSC only accepts resumes from employment agencies that are part of our approved supplier program. Resumes submitted from other agencies either to talent acquisition, our hiring leaders, employees, or through any other mechanism other than our supplier process, will not be eligible to claim related fees and the submitted resumes will be considered property of CSC.We encourage candidates to apply directly to our website and not through third-party sources.Disclaimer: The information above describes the general nature and level of work performed by employees in this role. It is not intended to describe all duties, responsibilities, and qualifications.About The TeamAt CSC®, we’re always looking ahead, finding ways to improve and anticipate the future needs of our customers. Curiosity fuels our innovation and productivity drives our results. This proactive mindset has helped us adapt and create solutions that have enabled businesses to run smoother and smarter for more than 120 years.CSC is committed to attracting, developing, and retaining talented people whose personal values align with ours. We empower our employees to bring the right solutions to market to meet customer demand. That is why we are the premier provider of global solutions for more than 180,000 businesses.CSC is a great place to work with smart and dedicated people. We have been voted a Top Workplace every year since 2006 and are a 2022 National Top Workplace. We offer challenging work and career opportunities. Most positions are filled with internal moves and employee referrals. Employees are eligible for an annual success sharing bonus or commission plans based on role and individual performance. CSC offers excellent benefits, including medical, dental, life insurance, and flexible spending and health savings accounts. We also offer you a 401(k) with employer match and profit-sharing, paid time off, tuition reimbursement, and more.  As business needs allow, CSC offers hybrid/remote work schedules in alignment with local regulations. Specific details for this position will be discussed during the interview process. Our global standard for our work environments supports current and future technology initiatives through open design, sit-stand workstations, and digital interface points with wireless access throughout the campus. It’s an exciting time for us in terms of growth and expansion.",Entry level,AI/ML Software Engineer
+717,2025-03-14,Watertown,Massachusetts,Dyno Therapeutics,http://www.dynotx.com,Building high-performance genetic technologies that transform patient lives.,"The RoleSenior/Staff Machine Learning Engineer. As a Machine Learning Engineer at Dyno Therapeutics, you will work with Machine Learning researchers to advance modeling efforts and build scalable tools for machine learning and infrastructure. You will play a key role in driving the direction of ML research infrastructure, accelerating research with your expertise, and developing flexible, high-performance systems.Job Type: Full TimeLocation: Watertown, MA or NYC (may consider remote candidates)How You Will ContributeAs a Senior/Staff Machine Learning Engineer, you will accelerate research by collaborating on modeling efforts, building tools and data pipelines that improve the team’s efficiency, and driving the future direction of the ML infrastructure at Dyno.ResponsibilitiesCollaborate with ML scientists and engineers to understand their needs and translate them into effective tools and systems that accelerate ML research.Manage ML infrastructure, including configuring and maintaining GPU compute resources.Design, develop, and maintain scalable data pipelines for ML data from external (PDB, UniProt, etc.) and internal sources.Develop, deploy, and monitor deep learning models built primarily using PyTorch but potentially other frameworks (e.g. Jax).Work with SQL and NoSQL databases for efficient data retrieval, storage, and analysis.Conduct unit testing, code reviews, and follow software design principles to ensure high-quality code.Stay current with emerging ML techniques, tools, and trends, and apply them to improve systems and workflows.Basic Qualifications3+ years of post-graduate, full time work experience in industry.Strong foundation in software engineering with proficiency in programming languages such as Python.Experience building data systems to support machine learning, including data processing libraries such as Pandas and NumPy.Proficiency in SQL and NoSQL databases for data retrieval and storage.Experience deploying and developing deep learning models using frameworks like PyTorch, Jax, Keras, or Tensorflow.Familiarity with MLOps systems for training, monitoring, and evaluating ML models.Experience building cloud-native systems and infrastructure, with an understanding of the benefits of GPU compute.Alignment with Dyno’s core values.Preferred QualificationsExperience handling large datasets using platforms like Apache Spark or Hadoop.Experience managing GPU compute infrastructure.Previous experience in a machine learning and biology-focused company.The CompanyAt Dyno Therapeutics, we are a high-energy, high-impact team on a mission to build high-performance genetic technologies that transform patient lives. Our team unites world-class molecular biologists, protein engineers, software developers, data scientists, and machine learning experts—all working together at the intersection of AI and genetic medicine.Our culture is defined by three core values that guide everything we do:One Mission: Everything we do is for the mission. We are a cohesive and motivated team, thinking ahead and supporting one another to overcome challenges.Proactive Responsibility: We take action, inject energy into our work, and hold ourselves accountable for delivering results.Reaching for Excellence: We constantly strive for excellence, fueled by curiosity, adaptability, and the courage to speak hard truths in pursuit of success.These values are more than words—they drive our actions and decisions. Our greatest strength isn’t technology—it’s our work ethic. More than just technologists, we’re a team of relentlessly resourceful problem-solvers: with an unshakable drive we generate breakthroughs at the intersection of AI and genetic medicine.🚀 What You’ll GiveBring an unstoppable work ethic, stepping up when things get tough and adapting as priorities shift.Embrace challenges as opportunities, finding solutions where none exist and driving innovation forward.Operate with urgency, responsibility, and resilience, because this mission demands the best from us.🎯 What You’ll GetCompetitive compensation & equity—your contributions drive results, and we pay accordingly.Mission-aligned, high-trust environment—we succeed together, supporting each other through challenges.A career-defining experience—work at the forefront of AI-driven genetic medicine, tackling problems that reshape healthcare.If you’re ready to push boundaries, build the future, and thrive in a fast-moving, high-impact environment—we’d love to hear from you.Equal Employment Opportunity (EEO) StatementWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Fraud Alert: Please be aware of recruitment scams targeting job seekers. Dyno Therapeutics will never make an offer of employment without conducting a formal interview process, nor will we ask for personal information such as financial details over email. Official communication will only come from an @dynotx.com email address. If you are contacted by someone claiming to represent Dyno Therapeutics from any other domain, please report it as spam and report the communication to us at jobs@dynotx.com.",Mid-Senior level,Senior/Staff Machine Learning Engineer
+718,2025-04-04,Tokyo,,Takeda,https://www.takeda.com/,"We strive to transform lives. While the science we advance is constantly evolving, our core purpose is enduring. For more than two centuries, our values have guided us to do what’s right for patients and for society.
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+We know that changing lives requires us to do things differently. We start by listening to and addressing what really matters to patients, the people who love them, and those in the healthcare system who provide care. And that’s what inspires us all to be bold, push boundaries and set new standards that open up greater opportunities.
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+Read our community guidelines: https://takeda.info/communityguidelines","By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.Job Description:Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Development Center Americas, Inc. for the following job opportunityJOB LOCATION: Cambridge, MAPOSITION: Data ScientistPOSITION DESCRIPTION: Takeda Development Center Americas, Inc. is seeking a Data Scientist with the following duties Collaborate with cross-functional stakeholders to develop descriptive, prescriptive, and predictive analytics, generating actionable insights to address complex business problems in drug development and market access; translate unstructured business problems into scalable data models, algorithms, and analytical frameworks, leading innovation through the full data science and machine learning lifecycle, from data engineering to model deployment; leverage advanced statistical and machine learning techniques to design and deliver data-driven solutions using Python, and create impactful visualizations with Tableau/Power BI for enhanced clinical and commercial decision-making; manipulate and analyze large-scale, high dimensional structured and unstructured datasets from clinical trials, real-world evidence (RWE), and regulatory databases (e.g., FDA), utilizing SQL and performing version control and cloud-based deployment on platforms like AWS; demonstrate expertise with pharmaceutical and healthcare datasets, including real-world data (RWD), clinical trial data, and drug safety information, proactively seeking insights through independent research and collaboration with subject matter experts in medical affairs, regulatory, and clinical operations; ensure high quality delivery of data science projects by implementing robust methodologies, quality control measures, and continuous improvement of data governance practices aligned with regulatory standards in Life Sciences. Up to 20% domestic travel required. Up to 80% remote work allowed from anywhere in the U.S.REQUIREMENTS: Master’s degree in Computer Science, Information Systems, Math, Data Science in the Life Sciences Sector, or related field, plus 2 years of related experience. Prior experience must include collaborate with diverse stakeholders across functions to drive innovative solutions, transforming complex, unstructured business problems into data modeling and analytical strategies, and clearly communicating results and limitations; manipulate and analyze large, high-dimensional structured and unstructured datasets using query languages, managing code and version control with cloud computing infrastructure such as AWS; develop and implement data science projects across the lifecycle, using Python and visualization tools like Tableau and Power BI to create insightful analytics, along with descriptive, predictive, and prescriptive models in the Life Sciences sector; mentor and support colleagues, fostering the growth of the data science community, while building expertise in healthcare and pharmaceutical data through research with variety of datasets and tools like Komodo Health and Definitive Healthcare. Up to 20% travel required.Full time. $126,500 - $186,000 per year. Competitive compensation and benefits.Qualified applicants can apply at https //jobs.takeda.com. Please reference job # R0147941 . EOEAny individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.Locations:Boston, MAWorker Type:EmployeeWorker Sub-Type:RegularTime Type:Full time",Entry level,Data Scientist
+719,2025-04-09,Chantilly,VA,BlackSignal Technologies,http://blacksignal.tech/,"Delivering advanced signal processing and cyber capabilities to counter near peer adversaries of the United States.
+","Blue Ridge Envisioneering is seeking qualified candidates to fill Machine Learning Software Engineer positions at our headquarters in Chantilly, VA.You are the type of person who loves solving complex problems. Few things are more exciting than being faced with a new challenge, something that makes you approach it from a multitude of angles to figure out that perfect solution: one that’s elegant, optimized for its constraints, and can be tested and verified to assure performance and accuracy. Once it’s solved, you’re able to stand proudly by your work.We meet customer and mission needs by leveraging cutting edge research and technology, and using small teams to rapidly get them into the hands of the warfighter. Our machine learning efforts focus on signal processing, image processing, full-motion video, mission planning and data analytics.As an integral part of our team, you would work on one or more efforts at a time, and taking on all parts of the development process, from design, development, testing and deployment. Since we deal with specific customer needs, it will be necessary to learn a wide variety of domains, to the extent necessary to understand the problem, produce deep learning solutions, and see the efforts through to completion. No engineer at BRE just does one job!Background Bachelor’s or advanced degree in Computer Science or related discipline 2+ years of experience in machine learning network design software developmentRequired Core Qualifications Eligibility for TS/SCI clearance with Polygraph (U.S. Citizenship required for clearance). Active TS/SCI clearance strongly preferred Familiarity with current academic research in machine learning field Experience with one or more programming languages: C/C++, Python Practical experience with Keras, Tensorflow, TensorRT or other ML frameworks Code management with Git or other common tools Strong background in Linux environment and software developmentAdditional Skills & Experience Of Interest Background in Signal Processing or Image Processing GPU programming experience with CUDA Tools & Frameworks: X-Midas, OpenCV, MySQL, MongoDB, AWSBlacksignal Technologies, a Parsons company, is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.",Entry level,Machine Learning Software Engineer
+720,2025-03-12,Houston,,OptiSigns Inc.,https://www.optisigns.com/,"OptiSigns is a top-rated, cloud-based, simple but powerful solution for Digital Signage.  
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+Our software can turn any digital screen into a digital sign in minutes. Create, design, and schedule your content and manage all your screens remotely from a central dashboard that you can easily access from our desktop or mobile App. With 1000+ free templates, 160+ app integrations, and our built-in designer, creating powerful content and unique experiences for your brand has never been easier.
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+We have top-notch customer service and advanced features like analytics and AI. Our software is multilingual and supports payment in multi-currency. 
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+Join the 6,000+ companies that trust us today. ","Are you a talented engineer with passion to build beautiful, easy to use apps for users? Combine not only technical knowledge in Full-Stack JavaScript, Node.js, React.js but also your business acumen in learning and understanding how your apps add value to users. Join us to continue expanding our unique B2B SaaS app portfolios with already over 22,000 customers.About UsAt OptiSigns, we believe technology should be accessible and valuable to everyone, including non-technical users. Our mission is to create beautiful, user-friendly B2B SaaS applications that add real value to society. By helping businesses connect better with their customers and employees, we aim to drive revenue growth and enhance operational efficiency.Responsibilities:Work on the design and development of apps from concept to productionDevelop and maintain front-end components using modern JavaScript, TypeScript frameworks such as React.js or AngularImplement server-side logic and APIs using Node.js, Express.js, Nest.js or other back-end technologiesDesign and optimize database schemas and queries using relational and/or NoSQL databasesWrite clean, efficient, and maintainable code adhering to coding standards and best practicesCollaborate with product managers, designers, and other stakeholders to define and prioritize featuresStay up-to-date with emerging technologies and industry trends, and advocate for their adoption when appropriateRequirements1-3+ years of experience in full-stack web development, with a strong focus on both front-end and back-end technologiesProficiency in front-end frameworks such as React.js, AngularJSProficiency in back-end technologies such as Node.js, Express.js, Nest.jsExperience with database systems such as MySQL, PostgreSQL, MongoDB, or RedisStrong problem-solving and analytical skills, with a track record of delivering scalable and reliable solutionsExcellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teamsBenefitsDental insuranceFlexible scheduleHealth insuranceVision insurancePaid time off",Entry level,Jr. Software Engineer
+721,2025-04-01,London,,Attis,www.attisglobal.com,"Attis are an AI, Data & Software Executive Search & Recruitment company dedicated to connecting the Geospatial sector across the USA & UK with the talent they need to drive positive change.
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+Expertise in:
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+📡 EO & Remote Sensing
+🛰️ Space Operations
+🗺️ GIS and GEOINT
+📈 Climate & Weather 
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+With a combined 25 years’ experience recruiting in the sector, we understand that technology can be a powerful force for good, and believe that businesses striving to make this change deserve a talent partner who share in their mission.
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+This is why we founded Attis, with the purpose of “Positively Impacting People and Planet”.
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+In order to reach the people and causes that need it most, we are partnered with B1G1 as a Business for Good, which enables our business to create positive worldwide impacts for a better future.
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+If you’re someone looking to join a business where your work makes a genuine impact, or a business looking to hire the talent to drive your business forward on its mission, then we can help. 
+
+Do you want to make a bigger impact?
+Do you want to find out how we can help?
+
+Get in touch below:
+
+USA
+usa@attisglobal.com
+(+1) 917-672-3688
+
+UK
+uk@attisglobal.com
++44 (0)204 515 5959","Machine Learning/AI Engineer - Remote Sensing / GeospatialOverview: My client, an innovative technology-focused organization within the Built Environment sector, is seeking a talented and driven Machine Learning/AI Engineer. This is a unique opportunity to contribute to impactful projects focused on leveraging advanced analytics on spatial and visual data to generate critical insights for the industry. If you are passionate about applying cutting-edge AI/ML techniques to solve complex analytical challenges involving location-based and image-based information within the context of Built Environment, this could be the perfect role for you.Why Join?: Join a forward-thinking organization that is utilizing advanced analytical methods to understand and optimize various aspects of the Built Environment. You will be part of a collaborative and passionate team of professionals, working on projects that are at the forefront of applying AI to real-world scenarios involving spatial and visual understanding within this dynamic sector. This role offers the chance to engage in meaningful work that leverages advanced AI to extract knowledge from rich data sources relevant to the design, construction, and management of our physical surroundings.Compensation: Base salary between $180,000 - $200,000 depending on experience, plus further benefits.Location: This role offers a preference for candidates located in the Chicago, IL area, but is a remote position.The Role: As a Machine Learning/AI Engineer, you will be instrumental in developing and implementing AI models that focus on the analysis of spatial and visual data within the Built Environment. You will collaborate closely with product managers, data scientists, and other technical experts to design and deploy innovative AI-powered analytical solutions relevant to this sector. Your responsibilities will include evaluating and refining existing AI algorithms to ensure optimal performance in processing complex spatial and visual information, staying informed about the latest advancements in AI/ML relevant to these domains, and potentially contributing to the broader technical community.The Essential RequirementsBachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; advanced degree preferred.Proven experience working with remote sensing / imaging data. I.e. Optical (Hyperspectral/Multispectral) SAR, IR, RF, LiDAR, etc…Demonstrable experience in machine learning and AI, specifically in developing models for spatial data analysis and computer vision tasks.Strong proficiency in Python and relevant frameworks such as PyTorch, Keras, and TensorFlow.Experience working with Computer Vision and Vision-Language Models (VLM).Familiarity with cloud platforms such as AWS and GCP for AI workloads.Excellent problem-solving abilities and the capacity to work effectively both independently and within a team.If you are interested in this role, please apply with your resume through this site.DisclaimerAttis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.SEO Keywords for SearchMachine Learning Engineer Built Environment, AI Engineer Built Environment, Artificial Intelligence Engineer Built Environment, ML Engineer Built Environment, Computer Vision Engineer Built Environment, Spatial Data Analysis Built Environment, Geospatial Analysis Built Environment, Remote Machine Learning Engineer Built Environment, Chicago AI Engineer Built Environment, Location Data Analysis Built Environment, Image Analysis Engineer Built Environment, Large Language Models Engineer, VLM Engineer, Generative Models Engineer, Python Machine Learning, PyTorch Engineer, TensorFlow Engineer, Keras Engineer, AWS AI Engineer, GCP AI Engineer, Data Scientist with Spatial Data Built Environment, Data Scientist with Image Recognition Built Environment.",Mid-Senior level,Machine Learning/AI Engineer - Remote Sensing / Geospatial
+722,2025-04-02,San Francisco,California,Calm,http://www.calm.com,"Calm is the leading mental wellness brand with the #1 App for Sleep, Meditation and Relaxation™, designed to help you manage stress, sleep better and live a happier, healthier life. With hundreds of hours of original audio content available in seven languages, Calm supports users in more than 190 countries. Apple’s 2017 iPhone App of the Year and one of Fast Company’s Most Innovative Companies of 2020, Calm boasts over 100 million downloads to date, with more than 4 million paying members.  
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+As a corporate solution, the much-loved consumer app offers a 360-approach to mental fitness and resilience as an employee benefit, with Calm for Business.
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+Calm was co-founded by Alex Tew (Million Dollar Homepage) and Michael Acton Smith (Mind Candy, Moshi Monsters, Firebox).","About CalmCalm is on a mission to support everyone on every step of their mental health journey. With the #1 app for sleep, meditation and relaxation as well as a growing library of digital, evidence-based mental health programs, Calm offers trusted support for individuals and organizations alike. Our flagship consumer app provides personalized content and activities – featuring a range of experts and beloved celebrity voices – to help users manage stress, improve sleep and live mindfully. Our workplace and healthcare solutions offer a consumer-friendly approach to clinical content and HIPAA-compliant resources in order to drive positive health and business outcomes. Named a TIME100 Most Influential Company, Calm supports more than 150 million people and 3,500 organizations across seven languages and 190 countries.What We DoAs a data organization, we focus on making data a competitive advantage for Calm. We’re product-minded, team-oriented, and grounded in our mission of making the world a happier and healthier place. We work closely with teams across the company such as product, finance, marketing, data science, and more. As a team, we strive to always improve.What You’ll DoWe’re looking for someone who is comfortable with ambiguity, assesses what needs to be done, and delivers with the right balance of velocity and technical debt. As a Data Engineer, you’ll leverage all sorts of data, from application event streams to product databases to third-party data, to help stakeholders create products and answer business questions. Our stack spans AWS and GCP, with technologies like Airflow, Databricks, BigQuery, Postgres, and dbt. Specifically, you will:Work with business stakeholders to understand their goals, challenges, and decisionsAssist with building solutions that standardize our data approach to common problems across the companyIncorporate observability and testing best practices into projectsAssist in the development of processes to ensure our data is trusted and well-documentedEffectively work with data analysts on refining the data model used for reporting and analytical purposesImprove availability and consistency of data points crucial for analysisSome past projects include:Standing up a reporting system in BigQuery from scratch, including data replication, infrastructure setup, dbt model creation, and integration with reporting endpointsCreating a user-level feature store and related API endpoints to support machine learning tasks such as content recommendation and persona creationRemodeling a critical data pipeline to decrease our model count by 50% and reduce run time by 83%Integrate our Data Warehouse with 3rd party applications for personalization that reaches tens of millions of customersRevamping orchestration and execution to reduce critical data delivery times by 70%Skills And Qualifications (Who You Are)Demonstrated experience with the following languages/technologies/frameworks (or equivalents):PythonDockerKubernetesGCP and/or AWSRelational DBs / SQLData Warehouses and Lakes, such as Bigquery, Databricks, or SnowflakeExperience in designing and building data pipelines that scaleStrong communication skills, with the ability to convey technical solutions to both technical and non-technical stakeholdersExperience working effectively in a fast-paced, agile environment as part of a collaborative teamAbility to work independently and as part of a teamWillingness and enthusiasm to learn new technologies and tackle challenging problemsPragmatism: balancing scrappiness and rigorNice to HavesExperience building across cloudsExperience with streaming systems like SegmentKnowledge of different data modeling paradigms, e.g. relational, data vault, and medallionSome experience in Infrastructure as Code tools like TerraformMinimum RequirementsThis role typically requires 5+ years of related experienceCalm uses a geographic pay model that determines salaries based on the location where an employee lives. For this position, the base pay ranges across Calm’s pay tiers is $147,000 - $210,000. The base pay range represents the low and high end of Calm’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which include the successful candidate's geographic location, skills, experience and other qualifications. Calm uses employee zip code to determine which pay range applies. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off.Please note that Calm may leverage artificial intelligence technology in the application review process.Calm is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you require a reasonable accommodation to complete any part of the application or interview process, please contact Calm’s Recruiting team at recruitingaccommodations@calm.com. All accommodation requests will be handled confidentially and assessed on a case-by-case basis.We believe that mental health is health, and every person should be considered in the discussion. That’s why we’re proud to be an equal opportunity workplace, committed to providing equal employment opportunities to all applicants and employees regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.Calm is deeply committed to diversity, equity and inclusion. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination.Employment offers are contingent upon the successful completion of a background check. Roles which require access to certain types of information may also require the successful completion of a drug screening.FOR US BASED POSITIONS: Calm participates in e-verify. E-verify provides the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.Right to WorkE-Verify Participation",Mid-Senior level,Data Engineer
+723,2024-12-05,Mountain View,California,Moveworks,https://moveworks.ai/?utm_source=soc&utm_medium=li,"Moveworks unifies every business system with natural language, giving employees one place to go to find information, automate tasks, and be more productive, increasing employee efficiency and satisfaction by streamlining everyday tasks.
+
+Powered by a pioneering agentic AI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, Moveworks understands employee requests, devises intelligent plans, and executes actions to complete tasks across application boundaries in over 100 languages.
+
+More than 350 brands, such as Toyota, Spotify, GitHub, Marriott, Snowflake, Unity, Databricks, Broadcom, Hearst, and Palo Alto Networks, trust Moveworks to automate menial tasks and power a universal search interface across business applications.
+
+Learn more at moveworks.com.","What You Will DoWe are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. This role will be critical in building, optimizing and scaling end-to-end machine learning systems. The ML infra team covers a variety of responsibilities including distributed training and inference pipeline for large language models(LLM), model evaluation and monitoring framework, LLM latency optimization, etc. These frameworks serve as a strong foundation for our hundreds of ML and NLP models in production serving hundreds of millions of enterprise employees. We are solving many challenges on scalability of services as well as optimization of core algorithms.In this role you will work closely with our machine learning team, data infrastructure team and every core skill. Above all, your work will impact the way our customers experience AI. Put another way, this role is absolutely critical to the long term scalability of our core AI product and ultimately the company. You will be responsible for building and productionizing ML infrastructure that runs state of the art models. If you are looking for a high-impact, fast-moving role to take your work to the next level, we should have a conversation.Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.Build abstractions to automate various steps in different ML workflowsCollaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new featuresLeverage your experience to drive best practices in ML and data engineeringWhat You Bring To The Table2+ years of industry experience in Machine Learning, Infrastructure or related fieldsExperience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.Experience with building and scaling end-to-end machine learning systemsExperience building scalable micro services and ETL pipelinesExpertise in Python and experience with performant language such as C++ or GoLangBachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.A love of research publications in the machine learning and software engineering communitiesEffective communicator with experience collaborating cross-functionally with other teamsNice To HavesExperience with ML Inference optimization using TensorRT. Experience with distributed training frameworks such as Deepspeed.Experience in managing and scaling GPU Inference services via KubernetesBase salary compensation range: $129,000 - $275,000Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.Moveworks Is An Equal Opportunity EmployerMoveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.Who We AreMoveworks is the universal AI copilot for search and automation across all your business applications. We give employees one place to go to find information and get support while reducing costs for your business. The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them. It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees.The world’s most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminate repetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team. In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year. We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024!Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.Come join one of the most innovative teams on the planet!",Mid-Senior level,Senior Machine Learning Engineer - LLM
+724,2025-02-09,Fremont,California,PETADATA,http://petadatasoftware.com/,"PETADATA is an Information Technology & Services company that specializes in delivering technology solutions to meet the needs of our clients. PETADATA  maintains a fundamental commitment to excellence that is evident in everything we do. Our mission is to understand and meet the needs of both our clients and consultants by delivering quality, value-added solutions.
+
+PETADATA  is a leading provider of Information Technology services and business solutions. The company has international offices in America and, as well as offshore development centers in India. We provide services to large and mid-sized organizations in banking, financial services, insurance, retail, healthcare, manufacturing, and independent software vendors sectors.
+
+PETADATA  services include application development, support & maintenance, enterprise application implementation, integration, infrastructure management, and quality assurance & testing.
+
+Quality
+
+We consistently provide the right fit, high-quality services, and products that best match our clients'​ needs. We are highly sensitive to clients'​ goals, delivering on our promises and offering superior services for the life of the project and beyond.
+
+Honesty
+
+We follow honest and ethical business practices.
+
+Integrity
+
+We do what's right and follow through on our commitments. We are accountable for our actions and services.
+
+Teamwork
+
+We are motivated by results and value teamwork. We are committed to and truly care about our coworkers, clients, consultants, and strategic partners. 
+
+With a relentless focus on quality & processes, we have set international benchmarks in execution excellence that have translated into measurable business benefits for our customers. We offer our clients the advantages of:
+360-degree solution.
+
+https://www.petadatasoftware.com","Job Title: Machine Learning Engineer with Generative AILocation: Las Vegas, NV - REMOTEEXPERIENCE: 12+ YRSJob Type: W2/C2CPETADATA is currently hiring for the position of Machine Learning Engineer with Generative AI for one of their clients.Job OverviewWe seek a forward-thinking Machine Learning Engineer with a deep focus on Generative AI technologies within the Azure ecosystem. This pivotal role is dedicated to pioneering AI-driven solutions, mainly to deploy a state-of-the-art chatbot crafted through the Retrieval-Augmented Generation (RAG) technique to analyse and interpret customer reviews. The successful candidate will also craft an insightful analytical dashboard powered by Azure OpenAI. The successful candidate will be instrumental in harnessing the power of generative AI to revolutionize our customer interaction and data analysis methodologies.Core ResponsibilitiesGenerative AI Chatbot Development: Spearheaded the creation of an advanced chatbot utilizing the RAG methodology to deliver nuanced interactions based on customer reviews.Insightful Dashboard Engineering: Architect and develop an analytical dashboard, employing Azure OpenAI to unearth and present deep insights from complex datasets.Expertise in Prompt Engineering: Masterfully apply prompt engineering strategies to optimize the quality and relevance of generative AI outputs.Advanced Sentiment Analysis: Implement sophisticated sentiment analysis to deeply understand the emotional layers within customer feedback, refining the chatbot's empathetic engagement.Essential Technical ProficienciesAzure Generative AI Integration: Proven expertise in integrating and leveraging Azure cloud services, strongly emphasizing Azure Databricks and Azure OpenAI for generative AI applications.Proficient in Python and Spark: Exceptional skills in Python for AI development, complemented by expertise in using Spark for large-scale data processing and analytics.Foundation in Machine Learning and NLP: A robust foundation in machine learning principles and natural language processing, with a particular focus on generative AI technologies and techniques. Data Pipeline Design: Demonstrated ability to design and operationalize scalable data pipelines within Databricks, optimized for generative AI workflows.Desired AttributesA proven innovator in deploying generative AI to enhance customer interactions and analytical insightsCreative problem-solving abilities, capable of translating intricate customer needs into tangible, cutting-edge AI solutions.Exceptional analytical aptitude, meticulous attention to detail, and a commitment to excellence in all aspects of AI development and deployment.This oppotunity is designed for a visionary engineer eager to define the future of AI applications in customer service and analytics, pushing the envelope of what's possible with generative AI and machine learning technologies.Educational QualificationBachelor's/Master's degree in Computer Science, Engineering, or a related field.We offer a professional work environment and are given every opportunity to grow in the Information technology world.NoteCandidates must attend Phone, Video, or in-person interviews, and after the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.Please email your resume to anandinik@petadata.coAfter carefully reviewing your experience and skills, one of our HR team members will contact you to discuss the next steps.",Mid-Senior level,Machine Learning Engineer with Generative AI
+725,2025-02-09,Fremont,California,PETADATA,http://petadatasoftware.com/,"PETADATA is an Information Technology & Services company that specializes in delivering technology solutions to meet the needs of our clients. PETADATA  maintains a fundamental commitment to excellence that is evident in everything we do. Our mission is to understand and meet the needs of both our clients and consultants by delivering quality, value-added solutions.
+
+PETADATA  is a leading provider of Information Technology services and business solutions. The company has international offices in America and, as well as offshore development centers in India. We provide services to large and mid-sized organizations in banking, financial services, insurance, retail, healthcare, manufacturing, and independent software vendors sectors.
+
+PETADATA  services include application development, support & maintenance, enterprise application implementation, integration, infrastructure management, and quality assurance & testing.
+
+Quality
+
+We consistently provide the right fit, high-quality services, and products that best match our clients'​ needs. We are highly sensitive to clients'​ goals, delivering on our promises and offering superior services for the life of the project and beyond.
+
+Honesty
+
+We follow honest and ethical business practices.
+
+Integrity
+
+We do what's right and follow through on our commitments. We are accountable for our actions and services.
+
+Teamwork
+
+We are motivated by results and value teamwork. We are committed to and truly care about our coworkers, clients, consultants, and strategic partners. 
+
+With a relentless focus on quality & processes, we have set international benchmarks in execution excellence that have translated into measurable business benefits for our customers. We offer our clients the advantages of:
+360-degree solution.
+
+https://www.petadatasoftware.com","Job Title: Machine Learning Engineer with Generative AILocation: Las Vegas, NV - REMOTEEXPERIENCE: 12+ YRSJob Type: W2/C2CPETADATA is currently hiring for the position of Machine Learning Engineer with Generative AI for one of their clients.Job OverviewWe seek a forward-thinking Machine Learning Engineer with a deep focus on Generative AI technologies within the Azure ecosystem. This pivotal role is dedicated to pioneering AI-driven solutions, mainly to deploy a state-of-the-art chatbot crafted through the Retrieval-Augmented Generation (RAG) technique to analyse and interpret customer reviews. The successful candidate will also craft an insightful analytical dashboard powered by Azure OpenAI. The successful candidate will be instrumental in harnessing the power of generative AI to revolutionize our customer interaction and data analysis methodologies.Core ResponsibilitiesGenerative AI Chatbot Development: Spearheaded the creation of an advanced chatbot utilizing the RAG methodology to deliver nuanced interactions based on customer reviews.Insightful Dashboard Engineering: Architect and develop an analytical dashboard, employing Azure OpenAI to unearth and present deep insights from complex datasets.Expertise in Prompt Engineering: Masterfully apply prompt engineering strategies to optimize the quality and relevance of generative AI outputs.Advanced Sentiment Analysis: Implement sophisticated sentiment analysis to deeply understand the emotional layers within customer feedback, refining the chatbot's empathetic engagement.Essential Technical ProficienciesAzure Generative AI Integration: Proven expertise in integrating and leveraging Azure cloud services, strongly emphasizing Azure Databricks and Azure OpenAI for generative AI applications.Proficient in Python and Spark: Exceptional skills in Python for AI development, complemented by expertise in using Spark for large-scale data processing and analytics.Foundation in Machine Learning and NLP: A robust foundation in machine learning principles and natural language processing, with a particular focus on generative AI technologies and techniques. Data Pipeline Design: Demonstrated ability to design and operationalize scalable data pipelines within Databricks, optimized for generative AI workflows.Desired AttributesA proven innovator in deploying generative AI to enhance customer interactions and analytical insightsCreative problem-solving abilities, capable of translating intricate customer needs into tangible, cutting-edge AI solutions.Exceptional analytical aptitude, meticulous attention to detail, and a commitment to excellence in all aspects of AI development and deployment.This oppotunity is designed for a visionary engineer eager to define the future of AI applications in customer service and analytics, pushing the envelope of what's possible with generative AI and machine learning technologies.Educational QualificationBachelor's/Master's degree in Computer Science, Engineering, or a related field.We offer a professional work environment and are given every opportunity to grow in the Information technology world.NoteCandidates must attend Phone, Video, or in-person interviews, and after the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.Please email your resume to anandinik@petadata.coAfter carefully reviewing your experience and skills, one of our HR team members will contact you to discuss the next steps.",Mid-Senior level,Machine Learning Engineer with Generative AI
+726,2025-02-09,Fremont,California,PETADATA,http://petadatasoftware.com/,"PETADATA is an Information Technology & Services company that specializes in delivering technology solutions to meet the needs of our clients. PETADATA  maintains a fundamental commitment to excellence that is evident in everything we do. Our mission is to understand and meet the needs of both our clients and consultants by delivering quality, value-added solutions.
+
+PETADATA  is a leading provider of Information Technology services and business solutions. The company has international offices in America and, as well as offshore development centers in India. We provide services to large and mid-sized organizations in banking, financial services, insurance, retail, healthcare, manufacturing, and independent software vendors sectors.
+
+PETADATA  services include application development, support & maintenance, enterprise application implementation, integration, infrastructure management, and quality assurance & testing.
+
+Quality
+
+We consistently provide the right fit, high-quality services, and products that best match our clients'​ needs. We are highly sensitive to clients'​ goals, delivering on our promises and offering superior services for the life of the project and beyond.
+
+Honesty
+
+We follow honest and ethical business practices.
+
+Integrity
+
+We do what's right and follow through on our commitments. We are accountable for our actions and services.
+
+Teamwork
+
+We are motivated by results and value teamwork. We are committed to and truly care about our coworkers, clients, consultants, and strategic partners. 
+
+With a relentless focus on quality & processes, we have set international benchmarks in execution excellence that have translated into measurable business benefits for our customers. We offer our clients the advantages of:
+360-degree solution.
+
+https://www.petadatasoftware.com","Job Title: Machine Learning Engineer with Generative AILocation: Las Vegas, NV - REMOTEEXPERIENCE: 12+ YRSJob Type: W2/C2CPETADATA is currently hiring for the position of Machine Learning Engineer with Generative AI for one of their clients.Job OverviewWe seek a forward-thinking Machine Learning Engineer with a deep focus on Generative AI technologies within the Azure ecosystem. This pivotal role is dedicated to pioneering AI-driven solutions, mainly to deploy a state-of-the-art chatbot crafted through the Retrieval-Augmented Generation (RAG) technique to analyse and interpret customer reviews. The successful candidate will also craft an insightful analytical dashboard powered by Azure OpenAI. The successful candidate will be instrumental in harnessing the power of generative AI to revolutionize our customer interaction and data analysis methodologies.Core ResponsibilitiesGenerative AI Chatbot Development: Spearheaded the creation of an advanced chatbot utilizing the RAG methodology to deliver nuanced interactions based on customer reviews.Insightful Dashboard Engineering: Architect and develop an analytical dashboard, employing Azure OpenAI to unearth and present deep insights from complex datasets.Expertise in Prompt Engineering: Masterfully apply prompt engineering strategies to optimize the quality and relevance of generative AI outputs.Advanced Sentiment Analysis: Implement sophisticated sentiment analysis to deeply understand the emotional layers within customer feedback, refining the chatbot's empathetic engagement.Essential Technical ProficienciesAzure Generative AI Integration: Proven expertise in integrating and leveraging Azure cloud services, strongly emphasizing Azure Databricks and Azure OpenAI for generative AI applications.Proficient in Python and Spark: Exceptional skills in Python for AI development, complemented by expertise in using Spark for large-scale data processing and analytics.Foundation in Machine Learning and NLP: A robust foundation in machine learning principles and natural language processing, with a particular focus on generative AI technologies and techniques. Data Pipeline Design: Demonstrated ability to design and operationalize scalable data pipelines within Databricks, optimized for generative AI workflows.Desired AttributesA proven innovator in deploying generative AI to enhance customer interactions and analytical insightsCreative problem-solving abilities, capable of translating intricate customer needs into tangible, cutting-edge AI solutions.Exceptional analytical aptitude, meticulous attention to detail, and a commitment to excellence in all aspects of AI development and deployment.This oppotunity is designed for a visionary engineer eager to define the future of AI applications in customer service and analytics, pushing the envelope of what's possible with generative AI and machine learning technologies.Educational QualificationBachelor's/Master's degree in Computer Science, Engineering, or a related field.We offer a professional work environment and are given every opportunity to grow in the Information technology world.NoteCandidates must attend Phone, Video, or in-person interviews, and after the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.Please email your resume to anandinik@petadata.coAfter carefully reviewing your experience and skills, one of our HR team members will contact you to discuss the next steps.",Mid-Senior level,Machine Learning Engineer with Generative AI
+727,2025-02-09,Fremont,California,PETADATA,http://petadatasoftware.com/,"PETADATA is an Information Technology & Services company that specializes in delivering technology solutions to meet the needs of our clients. PETADATA  maintains a fundamental commitment to excellence that is evident in everything we do. Our mission is to understand and meet the needs of both our clients and consultants by delivering quality, value-added solutions.
+
+PETADATA  is a leading provider of Information Technology services and business solutions. The company has international offices in America and, as well as offshore development centers in India. We provide services to large and mid-sized organizations in banking, financial services, insurance, retail, healthcare, manufacturing, and independent software vendors sectors.
+
+PETADATA  services include application development, support & maintenance, enterprise application implementation, integration, infrastructure management, and quality assurance & testing.
+
+Quality
+
+We consistently provide the right fit, high-quality services, and products that best match our clients'​ needs. We are highly sensitive to clients'​ goals, delivering on our promises and offering superior services for the life of the project and beyond.
+
+Honesty
+
+We follow honest and ethical business practices.
+
+Integrity
+
+We do what's right and follow through on our commitments. We are accountable for our actions and services.
+
+Teamwork
+
+We are motivated by results and value teamwork. We are committed to and truly care about our coworkers, clients, consultants, and strategic partners. 
+
+With a relentless focus on quality & processes, we have set international benchmarks in execution excellence that have translated into measurable business benefits for our customers. We offer our clients the advantages of:
+360-degree solution.
+
+https://www.petadatasoftware.com","Job Title: Machine Learning Engineer with Generative AILocation: Las Vegas, NV - REMOTEEXPERIENCE: 12+ YRSJob Type: W2/C2CPETADATA is currently hiring for the position of Machine Learning Engineer with Generative AI for one of their clients.Job OverviewWe seek a forward-thinking Machine Learning Engineer with a deep focus on Generative AI technologies within the Azure ecosystem. This pivotal role is dedicated to pioneering AI-driven solutions, mainly to deploy a state-of-the-art chatbot crafted through the Retrieval-Augmented Generation (RAG) technique to analyse and interpret customer reviews. The successful candidate will also craft an insightful analytical dashboard powered by Azure OpenAI. The successful candidate will be instrumental in harnessing the power of generative AI to revolutionize our customer interaction and data analysis methodologies.Core ResponsibilitiesGenerative AI Chatbot Development: Spearheaded the creation of an advanced chatbot utilizing the RAG methodology to deliver nuanced interactions based on customer reviews.Insightful Dashboard Engineering: Architect and develop an analytical dashboard, employing Azure OpenAI to unearth and present deep insights from complex datasets.Expertise in Prompt Engineering: Masterfully apply prompt engineering strategies to optimize the quality and relevance of generative AI outputs.Advanced Sentiment Analysis: Implement sophisticated sentiment analysis to deeply understand the emotional layers within customer feedback, refining the chatbot's empathetic engagement.Essential Technical ProficienciesAzure Generative AI Integration: Proven expertise in integrating and leveraging Azure cloud services, strongly emphasizing Azure Databricks and Azure OpenAI for generative AI applications.Proficient in Python and Spark: Exceptional skills in Python for AI development, complemented by expertise in using Spark for large-scale data processing and analytics.Foundation in Machine Learning and NLP: A robust foundation in machine learning principles and natural language processing, with a particular focus on generative AI technologies and techniques. Data Pipeline Design: Demonstrated ability to design and operationalize scalable data pipelines within Databricks, optimized for generative AI workflows.Desired AttributesA proven innovator in deploying generative AI to enhance customer interactions and analytical insightsCreative problem-solving abilities, capable of translating intricate customer needs into tangible, cutting-edge AI solutions.Exceptional analytical aptitude, meticulous attention to detail, and a commitment to excellence in all aspects of AI development and deployment.This oppotunity is designed for a visionary engineer eager to define the future of AI applications in customer service and analytics, pushing the envelope of what's possible with generative AI and machine learning technologies.Educational QualificationBachelor's/Master's degree in Computer Science, Engineering, or a related field.We offer a professional work environment and are given every opportunity to grow in the Information technology world.NoteCandidates must attend Phone, Video, or in-person interviews, and after the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.Please email your resume to anandinik@petadata.coAfter carefully reviewing your experience and skills, one of our HR team members will contact you to discuss the next steps.",Mid-Senior level,Machine Learning Engineer with Generative AI
+728,2025-04-07,Remote First,,Coinbase,http://www.coinbase.com,"Founded in June of 2012, Coinbase is a digital currency wallet and platform where merchants and consumers can transact with new digital currencies like bitcoin, ethereum, and litecoin. Our vision is to bring more innovation, efficiency, and equality of opportunity to the world by building an open financial system. Our first step on that journey is making digital currency accessible and approachable for everyone. Two principles guide our efforts. First, be the most trusted company in our domain. Second, create user-focused products that are easier and more intuitive to use.","Ready to be pushed beyond what you think you’re capable of?At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. As a Senior Machine Learning Engineer at Coinbase, you will play a pivotal role in building an open financial system. This involves harnessing diverse and extensive data sources, including the blockchain, to grant millions of individuals access to cryptocurrency while simultaneously identifying and thwarting malicious entities. Your impact extends beyond safeguarding Coinbase, as you'll have the opportunity to employ machine learning to enhance the overall user experience. This includes imbuing intelligence into recommendations, risk assessment, chatbots, and various other aspects, making our product not only secure but also exceptionally user-friendly.What you’ll be doing (ie. job duties):Investigate and harness cutting-edge machine learning methodologies, including deep learning, Reinforcement Learning, and graph neural networks, to address diverse challenges throughout the company. These challenges encompass areas such as fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining.Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Coinbase, fostering a culture of widespread ML utilization.What we look for in you (ie. job requirements):5+ years of industry experience in MLMS degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical fieldStrong experience with at least one ML model: DNNs, GNNs, Reinforcement Learning, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. Solid working knowledge in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision.Experience building and deploying production ML systems at scale.Exhibit our core cultural values: positive energy, communicate clearly, be curious, and be a builder.Nice to haves:PhD degree strongly preferred with 3+ years of relevant experienceExperience with Python.Experience with data analysis and visualization.Job ID:  GPML05US*Answers to crypto-related questions may be used to evaluate your onchain experience  Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).Pay Range: : $186,065 USD - $218,900 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.Commitment to Equal OpportunityCoinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view the Know Your Rights notice here.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).Global Data Privacy Notice for Job Candidates and ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.      ",Mid-Senior level,Senior Machine Learning Engineer - (Platform)
+729,2025-03-27,Pittsburgh,PA,Howmet Aerospace,http://www.howmet.com,"Howmet Aerospace Inc., headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company’s primary businesses focus on jet engine components, aerospace fastening systems, and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. With nearly 1,150 granted and pending patents, the Company’s differentiated technologies enable lighter, more fuel-efficient aircraft to operate with a lower carbon footprint.","ResponsibilitiesHowmet Aerospace is hiring a Machine Learning Engineer with expertise in deep learning for computer vision to join our innovative Research and Development team. This role involves building cutting-edge computer vision applications and collaborating with cross-functional teams to support our casting, alloy, core, and rings facilities.Primary Responsibilities:Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO) to address complex computer vision challenges.Train and optimize generative models to accelerate development.Build and refine machine learning algorithms to enhance Howmet products across all business units.Construct, manipulate, and analyze large datasets using tools such as Python and SQL.Conduct statistical multi-factor analyses to uncover complex relationships and improve manufacturing processes.Present data-derived conclusions to a non-technical audience.Identify opportunities to optimize processes and implement continuous improvement tools using machine learning.Promote a data-driven culture across the organization by expanding machine learning applications and leading training initiatives.Collaborate with internal customers to validate trials, implement process enhancements, and integrate machine learning into production workflows.QualificationsMinimum Qualifications:A MS or PhD Degree from an accredited university in Data Science, Computer Science, Computer Engineering, Mathematics, Statistics, Analytics, or related.Minimum of 2 years of hands-on experience in deep learning for computer vision.Demonstrated success applying advanced statistical methods and machine learning algorithms to production/field data using Python. Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.Preferred Qualifications:Minimum of 5 years of professional experience in data science or machine learning.Strong statistical background with demonstrated expertise in analyzing industrial/manufacturing data.Familiarity with manufacturing or industrial plant environments and their unique challenges.Knowledge of software development life cycle (SDLC) Proficiency in visualization tools (e.g., Power BI)Comprehensive knowledge of advanced analytics and machine learning techniques.Exceptional verbal and written communication skills with the ability to convey complex ideas clearly.Strong organizational skills and the ability to work independently and in a cross-functional team environment.Why Join Us?Be at the forefront of innovation, applying machine learning to aerospace manufacturing.Collaborate with a supportive, cutting-edge team dedicated to solving challenging real-world problems.Access professional growth opportunities and a chance to directly impact Howmet Aerospace’s success.About UsHowmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. Our primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With $6.6 billion in revenue in 2023, our products play a crucial role in enabling fuel efficiency and lightweighting, contributing to our customers’ success and making a positive impact on the world. To learn more about the way Howmet Aerospace Inc. is advancing the sustainability of our customers, markets, and communities where we operate, review the 2023 Environmental Social and Governance report at www.howmet.com/esg-report . Follow: LinkedIn , Twitter , Instagram , Facebook , and YouTube .Equal Opportunity Employer:Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other applicable legally protected characteristics.If you need assistance to complete your application due to a disability, please email TalentAcquisitionCoE_Howmet@howmet.comAbout The TeamThe Howmet engines business produces world-class aerospace engine components, including investment castings, fasteners, rings and forgings. Our vacuum melted superalloys, machining, performance coatings and hot isostatic pressing for high performance parts enable the next generation of quieter, cleaner and more fuel-efficient aerospace engines. Able to supply more than 90% of structural and rotating aerospace engine components.",Mid-Senior level,Machine Learning Engineer
+730,2025-04-04,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways.We’re looking for a Data Scientist to join Snap Inc.What you’ll do:Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisionsDrive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'Collaborate with product managers, engineers, product marketers, and designersKnowledge, Skills & Abilities:Expertise using data modeling skills to identify key product trends and new product opportunitiesAbility to design implement, and track core metrics to analyze the performance of our productsAbility to create visuals, dashboards, and reports to effectively communicate your insightsAbility to collaborate with engineers, product managers, and other cross-functional teamsAbility to initiate and drive projects to completion with minimal guidanceAn understanding of Snapchat with great product sense and product understandingMinimum Qualifications:BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience1+ years of experience in quantitative analysis & data science or a related fieldPreferred Qualifications:1+ years of experience using SQL or similar big data querying languages1+ years of experience with programming language, such as Python or R1+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniquesAdvanced degree in applied mathematics, statistics, actuarial science, economics or related fieldExperience in a product-focused role at a social media, online advertising, digital media and/or mobile technology companyExperience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research. If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $118,000-$176,000 annually.Zone B:The base salary range for this position is $112,000-$167,000 annually.Zone C:The base salary range for this position is $100,000-$150,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Data Scientist, 1+ Years of Experience"
+731,2025-03-25,London,England,Seer,www.seerrecruit.com,"At Seer, we offer bespoke talent solutions, specialising in placing professionals in emerging tech industries such as AI, Blockchain, Machine Learning, AI Research, Crypto, and Software Engineering. In a world where technology is constantly evolving, we are a recruitment brand that is adaptable and scalable, always keeping pace with change whilst remaining experts in our niche fields. 
+ 
+Our team of highly specialised recruiters upholds the highest standards and adapts to the constantly evolving tech landscape, ensuring we meet the unique needs of our clients and candidates. Trusted for our impactful approach, valuable insights, and seamless collaboration, we work in perfect synergy with our customers to deliver a smooth recruitment process time after time.
+ 
+To date, we have successfully placed hundreds of candidates, making a significant impact across various industries, and continuing to set the standard for excellence in talent acquisition. We pride ourselves on building long-lasting relationships with both clients and candidates, understanding that the key to success lies in a deep understanding of their goals and needs. Whether you’re looking for top-tier talent or seeking new career opportunities, Seer is your trusted partner in navigating the ever-evolving technology landscape.
+ 
+Visions of the Future, Talent for Today.","Seer are currently partnered with a Drug Discovery Business based in New York City.As the business continues to implement Machine Learning, they are seeking to add to their established ML team.Experience required:Extensive experience in Machine Learning.Extensive experience in Deep Learning techniques :: Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Deep Reinforcement Learning).Programming experience in Python or other backend languages.Experience using ML within either :: Biophysics, Biochemistry, Structural Biology, Drug Discovery, Cheminformatics or Quantum chemistry.Job Responsibilities:Contribute to the advanced development of models tailored for drug discovery and scientific applications.Build and implement machine learning models, particularly LLMs, in production settings, collaborating with engineers to ensure scalability and robustness.Tackle key research engineering challenges, focusing on designing, implementing, and scaling machine learning algorithms.If you'd be interested in this position, please send your CV to dking@teem-seer.com",Mid-Senior level,Senior Machine Learning Engineer
+732,2025-03-08,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced Front end Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team that’s working to help people connect with each other around the globe. Join us!Software Engineer, Front End Responsibilities:Lead complex technical or product efforts involving many engineersProvide technical guidance and mentorship to peersImplement the features and user interfaces of Facebook products like News FeedArchitect efficient and reusable front-end systems that drive complex web applicationsCollaborate with Product Designers, Product Managers, and Software Engineers to deliver compelling user-facing productsIdentify and resolve performance and scalability issuesMinimum Qualifications:6+ years of JavaScript experience, including concepts like asynchronous programming, closures, types, and ES65+ years of HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibilityExperience with browser APIs and optimizing front end performanceExperience building maintainable and testable code bases, including API design and unit testing techniquesDemonstrated experience driving change within an organization and leading complex technical projectsCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Shipped at least one large-scale product to production, supporting millions of active usersAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Front End"
+733,2025-03-31,Ellicott City,Maryland,"Independent Software, Inc.",https://independentsoftware.com,"Independent Software supports our customers by providing next-generation cyber services, intelligence and all-source analytics, machine learning, and mission application development. In addition to our service-based efforts, we also offer innovative IT and cyber products to solve our customers’ most complex challenges. We are a Woman-Owned Small Business committed to hiring veterans and supporting our national defense missions.
+
+We are driven to perform for our clients, protect our professional staff, and improve shareholder value. Employee and client satisfaction are key metrics for our corporate management team. Maintaining positive relationships with all our industry partners has delivered impressive business results. Our Mission and Vision statements speak to these values.
+
+Mission Statement:
+Independent Software is dedicated to ensuring national security and supporting our customers through quality intelligence products and highly skilled personnel that enable a diverse set of federal and commercial missions. A large percentage of our employees are veterans, so we understand the importance of providing timely, effective, and actionable intelligence and tools to the warfighter. Our personnel have embodied our focused, mission-first approach to supporting national security missions in dynamic environments since 2005.
+
+Independent Software is built on five core values which, when taken together, guide us to continuously maintain our focus and achieve our vision - 1) Customer Success, 2) Employee Success, 3) Technical Excellence, 4) Fiscal Responsibility, and 5) Social Awareness.
+
+We engage our core competencies to meet customer mission challenges in - 1) Enterprise Software Engineering, 2) Offensive and Defensive Cyber Services, 3) Data Science and Decision-Making Analytics, and 4) All-Source Analytics.
+
+Join Our Team
+https://independentsoftware.com/careers/
+
+Like us on Facebook: www.facebook.com/independentsoftwareinc
+Follow us on Twitter: @IndependentSoft","What you will be doing!As a Data Scientist, Level 2, your role is pivotal. Your Python expertise and experience in automating workflows, data manipulation, and visualization using Jupyter Notebooks will be crucial in our data-driven decision-making processes. You will be instrumental in streamlining processes and creating insightful visualizations.Job Description / RequirementsEmploy some combination (2 or more) of the following skill areas:Foundations: Mathematical, Computational, Statistical Data Processing: Data management and curation, data description and visualization, workflow and reproducibility Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration. Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Education and Experience: Bachelor’s Degree with 10 years of relevant experienceAssociates degree with 12 years of relevant experienceBachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming,, data structures, data mining, artificial intelligence). College-level requirements or upper-level math courses designated as elementary or basic do not count. A broader range of degrees will be considered if they are accompanied by a Certificate in Data Science from an accredited college or university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python), statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Clearance Required: Must possess an active TS/SCI with Full Scope Polygraph security clearance to be considered for this role Independent Software is an Equal Opportunity Employer EOE, M/F/D/V.",Entry level,"Data Scientist, Level 2"
+734,2025-03-30,South San Francisco,California,Stripe,https://stripe.com,"Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.","Who we areAbout StripeStripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career..About The TeamStripe's Applied ML organization is excited to offer new grad PhD machine learning engineering positions for 2025. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.You will tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.What you’ll doResponsibilitiesDevelop and deploy large-scale machine learning systems that drive significant business value across various domains.Engage in the end-to-end process of designing, training, improving, and launching machine learning models.Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.Who you areMinimum RequirementsA deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2024 or spring/summer 2025.Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn.Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders.A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently.Preferred QualificationsTwo years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning.Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects.Familiarity with navigating new codebases and managing work across different programming languages.Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences.Application requirementsPlease Submit The Following With Your ApplicationA description of your work history (either a resume, LinkedIn Profile, website, or other portfolio of work)Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios.Hybrid work at StripeOffice-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.Pay and benefitsThe annual US base salary range for this role is $173,100 - $270,000. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.",Entry level,"PhD Machine Learning Engineer, New Grad"
+735,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity.What You'll Do Participate in the development of a large-scale Ads system. Responsible for the development of state-of-the-art applied machine learning projects. Own key targeting components or strategies in the TikTok ads monetization ecosystem. Work with product and business teams on product vision.Qualifications BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. 2+ years of experience in and good theoretical grounding in machine learning concepts and techniques. Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python. Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc Ability to think critically and to formulate solutions to problems in a clear and concise way. Preferred experience: ads system, recommendation, searching, ranking, etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at tt.accommodations@tiktok.comJob Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Monetization Technology/Ads Engineering (General Hire)"
+736,2025-03-28,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","We are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. You will be part of our efforts to architect, design and implement a clean slate compiler for this activity and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts. You will contribute to a full stack development effort compiling PyTorch models down to binaries for custom hardware accelerator blocks.Software Engineer, Systems ML - Compilers Responsibilities:Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators.Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance.Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools.Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.Analyze and improve the efficiency, scalability, and stability of our toolchains.Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.2+ years experience developing compilers, runtime, or similar code optimization software.Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis.Experience in AI framework development or accelerating models on hardware architectures.Preferred Qualifications:Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow.Experience with machine-code generation or compiler back-ends.Experience working and communicating cross functionally in a team environment.Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Systems ML - Compilers"
+737,2025-04-09,McLean,Virginia,Bcore,https://www.bcore.com,"Bcore was founded out of the urgency to build secure tailored solutions to address our clients' top mission needs. We are trusted advisors in the areas of Visual Intelligence, Technical Solutions, and Cyber Security.  We tackle our clients'​ toughest challenges and strive to bring innovation to all aspects of their mission.  Innovation begins with the hearts and minds of the passionate individuals we have at Bcore. 
+
+Bcore specializes in providing high-quality, results-driven, talent among these core disciplines:
+
+Visual Intelligence
+Technical Solutions
+Cyber Security
+Collaboration Solutions
+Cloud Solutions
+Systems Engineering
+Software Engineering
+Program Management
+Strategic Planning
+User Experience Design
+Systems / Project Integration","McClean, VATS/SCI with PolyAt Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Our goal is not to simply support efforts, but to ignite a technology revolution, bridging the growing technology gap between the Government and commercial space.Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a Data Scientist in McClean, VA.This role requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The customer requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines.Take the Sponsor’s mission needs and convert those into technical milestones consistent with the Sponsor’s data science requirements.Develop and manage data processing ETL pipelines.Provide ad hoc trainings to Sponsor’s data users on custom tools and data exploitation consist stent with established use cases.Utilize software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches.Identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows.Identify existing or emerging data science workflows within the Sponsor’s broader office that would accelerate the Sponsor’s data science mission.Leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor’s technical goals for data management.Anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor’s direction.Required Qualifications Demonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar.Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows.Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries.Demonstrated experience with a range of Python packages and graph databases.Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity.Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages.Desired QualificationsDemonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production.Demonstrated experience leading complex data science teams.Demonstrated experience with machine learning solutions.Demonstrated experience working with foreign and domestic partners of the Sponsor.Demonstrated experience writing custom algorithms for data exploitation.Demonstrated experience with complex graph database queries.Demonstrated experience working in high operational tempo environments.BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.",Entry level,Data Scientist
+738,2025-04-07,Atlanta,GA,Corps Team,http://www.corpsteam.com,"Corps Team is a nationwide, Professional Recruiting, IT Recruiting and Executive Search Firm. Since 2005, we have partnered with Founders, CEOs, and hiring managers to recruit exceptional direct hire, project based and contract talent into their organizations.
+
+Corps Team began in 2005 as Mom Corps, a firm dedicated to helping Atlanta area moms get back to work after taking a break from the workforce. Since then, the company has expanded to encompass a wide range of recruitment solutions and nationwide reach. Offering flexible workforce solutions, we strive to be true partners.
+
+Corps Team is a woman-owned executive search and staffing firm, headquartered in Atlanta, GA and serving clients nationwide. We are WBENC (249301) and WOSB (W090151) certified. An industry leader since 2005, Corps Team helps companies build their teams with highly skilled, hard-to-find professionals.
+
+Learn more at www.corpsteam.com","Our client, a startup cybersecurity firm focused on serving the real estate industry is looking for a Machine Learning Engineer to join their growing team. This role can either be remote based anywhere in the United States, or hybrid in Atlanta, GA.Seeking a highly skilled and motivated Machine Learning (ML) Engineer with 2-3 years of experience to join their team and help lead core initiatives for machine learning at the company. The ideal candidate has proven experience building and deploying ML applications at scale, expertise in Computer Vision + Image Processing, and a solid understanding of data security and predictive analytics.Key ResponsibilitiesLead the design, development, and maintenance of ML applications at scaleEnsure scalability, performance, and efficiency of ML applicationsDesign and implement advanced Computer Vision techniques for similarity, feature extraction, classification, and object detection.Collaborate with cross-functional teams to identify and implement ML solutions for business problemsDevelop and implement best practices for ML model development, deployment, and monitoringStay current with the latest advancements in ML and AI, and integrate new technologies when appropriateRequired Qualifications2-3 years of experience deploying and maintaining machine learning applications at scale (ML Ops)Proven ability to scale products and manage real-time workloadsBachelor's or Master's degree in Computer Science, Data Science, or a related fieldStrong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learnFamiliarity with cloud platforms, particularly AWS, and containerization technologies like DockerExperience with predictive analytics and implementing forecasting modelsExcellent problem-solving skills and attention to detailPreferred QualificationsFamiliarity with cybersecurity concepts and fraud detection techniquesExperience working in a startup environmentContributions to open-source ML projectsBase Salary $140,000-$180,000. Final determination of salary will be based on an evaluation of experience, education, budget, etc.",Associate,Machine Learning Engineer
+739,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Level 5"
+740,2025-04-04,Knoxville,TN,Tombras,http://www.tombras.com,"Tombras is a 450+ person, full-service agency with a digital mindset. We are one of the top independent agencies in North America. We are united by our philosophy: Connecting Data & Creativity for Business Results.®
+
+
+2023 AdAge A-List Standout 
+2022 ADWEEK US Agency of the Year (Finalist)
+2021 Fast Company World Changing Ideas
+
+
+Clients include Orangetheory Fitness, MoonPie, BUSH's Beans, Rolls-Royce, Pernod Ricard, Frito-Lay, Zaxby's
+
+
+
+","Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided.The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing:Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the resultsDevelop the framework and approach for marketing science and develop bespoke offeringsEmploy best in class tooling to develop proprietary Martech in partnership with the Technology and Media practicesIdentify new and innovative data sets that can be used to improve existing modeling work, or deliver net new modelsClearly articulate statistical results to clients, ultimately leading to continued client engagement and implementationWhat you bring:M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research(Optional) Experience in marketing science or advertising analyticsMastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice ModelsStrong competency with python, R, SQL, and other commonly used statistical toolsClient services mindsetAbility to influence clients and partner agencies to act on insightsAbility to distill complicated information into succinct graphical presentations for senior stakeholdersWhy Join Tombras Analytics?Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.Why you’ll want to work at Tombras:You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You’ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.Tombras Benefits:Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly officesUnlimited PTOGenerous parental leave for primary and non-primary caregivers.Medical (PPO or High Deductible option) for employee + dependents401(k) ParticipationEmployer-paid Dental & VisionA company culture of promotions from within and an atmosphere allowing for varied and rapid career development.New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values.Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.Tombras is an E-Verify employer and participates in the E-Verify program.This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.",Not Applicable,Data Scientist
+741,2025-04-09,McLean,Virginia,Dexian,http://www.dexian.com,"Dexian is a leading provider of staffing, IT, and workforce solutions with nearly 12,000 employees and 70 locations worldwide. As one of the largest IT and professional staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was launched in 2023 and created from the combination of DISYS, Signature Consultants, and other strategic acquisitions.
+
+Dexian fuses the best elements of its legacy companies to create a platform that connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.
+
+Dexian’s brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit www.dexian.com to learn more.
+","Job Title: AI/ML Engineer / Data ScientistLocation: Jersey City, NJ [OR] McLean, VA [OR] Boston, MA ( Choose Any 1 )Hybrid: 3 days Onsite & 2 days REMOTEDuration: 8 Months (CONTRACT TO HIRE)Pay Range: $70 - $75/hr Description:Looking for a hands-on AI/ML Engineer to join our dynamic Technology Research and Innovation team, where you'll play a pivotal role in spearheading AI initiatives and innovation.As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement. Skills & Experience Needed:  6+ years of experience in Machine Learning and Data Science.Hands on experience with writing code, machine learning technologies, API development/Python, Pandas, NumPyExperience in Generative AI (RAG/ Agentic AI apps)Strong programming skills in PythonExperience working with large datasets and performing data analysis.Experience with Machine Learning, Data Visualization, and Generative AI libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain).Experience in Prompt Engineering, LLM Fine Tuning, and evaluation techniquesProven experience in developing and deploying machine learning models in a production environment.Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic AI Workflow, Statistical methods, data structures, and algorithms.Experience with Snowflake Data Pipelines (stream, task, UDF) and Cortex features is a plusExperience with AWS Sage Maker, Bedrock, and AWS cloud platform for deploying AI solutions.Experience in building Asynchronous Python APIs for model inferencing.Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.Previous experience in a similar role or industry is preferred.Passion for learning and staying up-to-date with the latest advancements in AI fieldExcellent communication and collaboration skills. Strong problem-solving skills and analytical thinking Responsibilities: Python API Development:Develop scalable APIs in Python (fastApi, Apache, Gunicorn, Uvicorn) for model inferencingGenerative AI Application DevelopmentDevelop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.Model Development and DeploymentDesign and develop machine learning models and algorithms to address business challenges and improve product features.Deploy machine learning models in production environments to ensure scalability and efficiency.Optimize and refine models based on performance metrics and feedback.Data ManagementCollect, clean, and preprocess data from various sources to create robust datasets for training and evaluation.Implement data augmentation and feature engineering techniques to enhance model performance.Maintain and manage data pipelines to ensure seamless data flow and integration.Research and InnovationStay updated with the latest trends and advancements in AI and machine learning technologies.Conduct research to explore new methodologies and techniques that can be applied to current and future projects.Collaborate with cross-functional teams to drive innovation and implement cutting-edge solutions.Collaboration and CommunicationWork closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals.Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.Provide mentorship and guidance to junior team members and contribute to the upskilling of the team.Desired Skills and ExperienceMachine learning, Data Science, AI, ML, Python, GenAI, Generative AI, Large Language Models, LLMs, TensorFlow, Python, NLPDexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.",Mid-Senior level,AI / ML Engineer / Data Scientist
+742,2025-02-01,Wimbledon,London,Harnham,http://www.harnham.com,"Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com 
+
+Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. 
+
+Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.
+
+Our five core services:
+
+* ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a 
+
+* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
+
+* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
+
+* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
+
+* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.","Job Description: Join an AI-native biotechnology company at the forefront of transforming cancer treatment and systems biology. This role offers the chance to work in a nimble, innovative environment with a highly technical interdisciplinary team. You will design and build systems for scalable, distributed training and inference of machine learning models, specifically custom vision transformers developed in-house. Collaborating with the ML and Engineering teams, you'll optimize systems for research iteration and scaling while solving complex, impactful challenges.Key Responsibilities:Design and build systems for distributed training and inference of custom ML models.Collaborate with ML and Engineering teams to develop and scale ML platforms.Optimize data loaders and model architectures for performance.Develop solutions for scalable model result analysis.Qualifications:2+ years of experience in building systems for distributed ML training and inference (using GPUs, AWS, etc.).Strong proficiency with PyTorch and experience in ML model and data loader development.Familiarity with modern frameworks like Ray, PyTorch Lightning, and Huggingface Accelerate.Problem-solving mindset with an adaptable and collaborative approach.Perks:Remote-first computational work with opportunities for travel to San Francisco.Onsite lunch, sponsored travel, and offsite summits.Generous health, dental, and vision insurance; flexible time off; parental leave; and more.This is an exciting opportunity to make an impact in the biotech industry and contribute to groundbreaking therapies.",Entry level,Machine Learning Engineer
+743,2025-04-06,,,"Applied Concepts, Inc.",https://www.stalkerradar.com/,"Applied Concepts, Inc., (d.b.a. Stalker Radar) began as a small contract engineering and manufacturing business in 1975. In the years that followed, ACI applied its engineering and manufacturing expertise to develop the largest patent portfolio in the industry and create an array of products aimed at specialized and niche markets.
+
+Today ACI has over 165 employees and a diversified product line that impacts a variety of industries. Their Stalker Radar brand includes products designed for law enforcement, traffic control, and OEM speed measurement, while their Stalker Sport line utilizes their technology in radar products designed for baseball, softball, tennis, acceleration measurement, and other sports.
+
+Headquartered in Richardson, Texas, ACI’s products are shipped to customers around the world. They have earned their reputation in the global marketplace due to their consistent accuracy, durability, and innovation.
+","Data Scientist Internship at Applied ConceptsImmediate Opening - Richardson, TXData Scientist Intern - Job OverviewApplied Concepts has been known for its outstanding law enforcement Radar & Lidar systems for over 47 years. We're based in Richardson, TX, less than 3 miles from the UTD campus. We're rapidly expanding our data science initiatives to harness the power of AI and machine learning in traffic and public safety applications. Our team is looking for a motivated Data Scientist intern to join us for January 2025 and beyond.We are hiring one intern (with flexible start dates); hours per week will be project-based and negotiable in advance. This internship requires occasional availability for scheduled onsite meetings, but is primarily a work-from-home position.The compensation for this internship is $20-$25 per hour, based on skill set and education level. (No relocation assistance is possible for out-of-area candidates).Data Scientist Intern - What You'll GainCareer-building experienceCompetitive compensation Rewards and recognition programsLearning and development opportunitiesCode reviews and mentoring from industry expertsConvenient office locationExcellent work/life balanceGreat culture and collaborative environmentPaid company holidays and floating holidaysPossible extended work opportunitiesA personalized recommendation letter from ACI's President upon successful completion of the internshipData Scientist Intern - How You'll Make An ImpactAs a Data Scientist Intern, you will work on real-world datasets collected from traffic enforcement and smart city systems. You will support the development of machine learning models for traffic forecasting, anomaly detection, and intelligent signal timing. You'll help the team create scalable pipelines, visualize results, and contribute to AI-based features that enhance public safety.UI Design Intern - What You'll Need To SucceedA Bachelor's or Master's degree in data science, computer science, engineering, or a related fieldProficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch. Strong understanding of statistical modeling and machine learning techniques. Experience working with structured and unstructured data. Good problem-solving and communication skills. Ability to explain technical concepts to non-technical stakeholders.Added Bonus If You Have Experience with SQL and database systems (MySQL or MS SQL). Exposure to time-series forecasting or anomaly detection techniques. Experience with tools like Apache Spark, Kafka, or Airflow. Familiarity with cloud platforms such as Azure, AWS, or GCP.  Experience with data visualization tools like Matplotlib, Seaborn, Plotly, or Power BI.Data Scientist Intern - What You'll Be Doing Analyze traffic sensor data to uncover patterns, trends, and anomalies. Build and validate ML models to improve forecasting accuracy and incident detection. Develop data visualizations and dashboards for internal use and city officials. Collaborate with software and data engineering teams to integrate ML solutions into production systems. Present findings and recommendations to stakeholders across departments.Who We AreApplied Concepts is a 47-year-old, 250-person privately owned company, located in Richardson, Texas. Founded in 1977 by an electrical engineer, we have a long history of profitable, organic growth. Our company remains entrepreneurial at heart, constantly re-inventing ourselves with new products and new markets, but still balanced with business prudence. We manufacture our own products, in our own facilities. Integrating our product development with our own manufacturing resources is a key part of our business culture, keeping us nimble and able to provide high quality products.What We DoWe focus on designing, manufacturing, and selling products that promote public safety. We are the number one supplier of speed enforcement products to law enforcement in the United States. Our employees take pride in the quality of our products and the service we provide in keeping our streets and neighborhoods safe. We offer a variety of engineering challenges, from microwave to high-speed lasers, to image capturing and processing, and LED traffic calming devices.To learn more about us and explore career opportunities, please visit: www.stalkerradar.comwww.streetdynamics.comwww.stalkersport.comOnly qualified candidates selected for an interview will be contacted. U.S. Citizenship or U.S. Permanent Resident (Green Card) required. Sorry, NO Sponsorship FOR U.S. VISAS (no H-1B, etc.). Only qualified candidates selected for an interview will be contacted.",Internship,Data Scientist Internship
+744,2025-03-21,New York,NY,Onix,http://www.onixnet.com,"Onix is a trusted cloud consulting company that helps businesses get the most out of their technology with innovative, cloud-powered solutions and services. From data analytics and modernization to security and AI/ML solutions, we’re able to deliver tailored solutions and exceptional results for our customers because of our 20+ year strategic partnerships in the cloud, our dedication to customer success, and depth of technology expertise. Our global team of cloud experts are the most reliable, talented and knowledgeable in the industry. 
+","About: Onix is a leading cloud consulting company that helps customers get the most out of their technology with innovative, cloud-powered solutions and best-in-class services. We offer cloud solutions across various use cases and industries, from migration to advanced analytics to innovative AI solutions. With our global team of accomplished cloud experts, we are the most trusted cloud partner in the industry.Summary: Onix seeks an experienced Cloud Machine Learning Engineer, who will be vital in designing and implementing solutions that meet client business needs and support the overall cloud architecture. As a Cloud Machine Learning Engineer, you will be critical in defining the technical architecture, selecting appropriate technologies and developing Machine Learning models and systems. You will work closely with cross-functional teams, including data scientists, engineers, architects and business stakeholders in order to deliver innovative and scalable machine-learning solutions that address complex business challenges.Location: Remote (U.S.)Primary ResponsibilitiesLead the design, development and implementation of enterprise-level Machine Learning solutions, from data collection and preprocessing to model training, evaluation and deployment that integrate into the overall data architectureProvide thought leadership and technical expertise in designing, building and optimizing end-to-end data pipelines, from data extraction and transformation to loading and visualizationCollaborate with business stakeholders, data engineers, data scientists and other teams to understand data requirements, use cases and business objectivesArchitect scalable and efficient Machine Learning pipelines and workflows, leveraging best practices and cutting-edge technologies that incorporate into DatabricksDesign and implement data processing and feature engineering pipelines to extract relevant information from diverse, large-scale datasetsEnsure data quality, integrity and governance standards are met throughout the data engineering lifecycleCreate and maintain technical documentation, run books, code and best practices for data and machine learning engineering on the Databricks platformPerform various functions related to additional technologies like Spark/Python/PySpark, R, etc.Provide client presentations to review project design, outcomes and recommendationsQualifications & Skills5+ years of consulting experience, working with external clients across a variety of different industries/markets7+ years experience in data architecture, data engineering, data science and analytics in areas such as performance optimization, pipeline integration, infrastructure configuration, etc.3+ years of relevant experience developing production-level PySpark/Python code3+ years of relevant experience developing production-level R/sparklyr codeExperience in developing reusable tooling (libraries, modules, etc.) using object-oriented design to manage code complexity alongside willingness to learn object-oriented design principles, as necessaryExperience in and familiarity with MLOps principles, including, but not limited to, model registries, model serving (batch and real-time), model versioning, promotion, model and feature drift, and automated re-trainingIn-depth knowledge of AWS data services and related technologies, including but not limited to, Athena, Redshift, Glue, S3, Lambda, SageMaker, Amazon Managed Workflows for Apache Airflow (MWAA), etc.Deep knowledge and expertise in Databricks and its components, such as Unity Catalogs, Delta Lakes, Delta Live Tables, Apache Spark (and PySpark), Lakehouse Monitoring, Managed MLFlow, etc.Production-level experience with data ingestion, streaming technologies (i.e. PySpark, Spark, Kafka), performance tuning, troubleshooting and debuggingDeep understanding of Machine Learning algorithms, techniques and methodologies with hands-on experience in applying supervised, unsupervised and deep learning techniques to real-world problems.Proficiency with programming languages such as Python, R, PySpark/Spark and/or Scala, including expertise with data manipulation and analysis libraries (i.e. NumPy, Pandas, etc.)Experience implementing real-time data processing pipelines for streaming analyticsExperience with various DevOps functions and technologies (i.e. IaC with Terraform, CI/CD, automation tooling, etc.)Possesses strong problem-solving and analytical skills, with the ability to identify and resolve complex data engineering and data science challengesPossesses excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholdersCertificationsDatabricks Certified Machine Learning ProfessionalPreferred to have current credentials or ability to obtain within first 60 days of employmentEducation: Bachelor's degree or equivalent experience required. Master’s degree or higher preferredTravel Expectation: Up to 15%It is the policy of Onix to ensure equal employment opportunity in accordance with the Ohio Revised Code 125.111 and all applicable federal regulations and guidelines. Employment discrimination against employees and applicants due to race, color, religion, (including sexual harassment), national origin, disability, age (40 years old or more), military status, or veteran status is illegal. Onix will only employ those who are legally authorized to work in the United States or Canada. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.",Entry level,"Cloud Machine Learning Engineer (Remote, U.S.)"
+745,2025-04-09,Mountain View,CA,Google,https://goo.gle/3DLEokh,"A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
+
+Check out our career opportunities at goo.gle/3DLEokh","Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages, and with data structures/algorithms. 3 years of experience in testing, maintaining or launching software products, and 1 year of experience with software design and architecture.3 years of experience with Natural Language Processing (NLP) concepts, algorithms, and experience in designing NLP solutions.3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).Preferred qualifications:Master's degree or PhD in Computer Science or a related technical field.1 year of experience in a technical leadership role.Experience in developing accessible technologies.Experience with data analysis, techniques to detect abusive patterns, outliers, sentiment, plagiarism, brigading, etc.Experience in content moderation.About The JobGoogle's Software Engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at a massive scale, and extend well beyond web search. We are looking for Engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile, the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our Engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.In this role, the Conversation-ArtificiaI Intelligence (AI) team's goal is to protect voices in online conversation. We design and build innovative user experiences to explore how our models can help humans have better conversations. We also publish original research to advance the state-of-the-art in using Machine Learning (ML) to support good online discussion.Jigsaw is a unit within Google that explores threats to open societies and builds technology that inspires scalable solutions. Our team addresses a range of global security challenges including defending against digital attacks, mitigating the rise of online hate and harassment, countering extremism, and fighting censorship. Jigsaw offers mission-driven work within a nimble interdisciplinary team, connections to academia and civil society, and a quick path to taking technology public.Because we believe the GenAI era creates both an opportunity and an imperative to rethink our digital public square, we are increasingly invested in technology to support democratic discourse.The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .ResponsibilitiesInterest in improving online discussions and desire to have an impact.Analyze Machine Learning foundations with an open mind and how Large Language Models are changing and complicating the landscape.Design solutions to ambiguous problems with an entrepreneurial mindset.Bring Machine Learning systems into production.Guide academic research in Artificial Intelligence (AI) and Machine Learning.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .",Not Applicable,"Software Engineer, Machine Learning, Jigsaw"
+746,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.Responsibilities - What You'II Do Build industry-leading recommendation system, improving user experience, content ecosystem and platform security; Deliver end-to-end machine learning solution to address critical product challenges; Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.QualificationsMinimum Qualifications Bachelor degree or above in computer science or a related major, with 2+ years of related work experience; Strong software development experience with C++, Python or other programming language; Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product; Strong communication and teamwork skills; Passion about techniques and solving challenging problems.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, TikTok Core Feed Recommendation"
+747,2025-04-08,Mumbai,MH,LTIMindtree,https://ltimindtree.com,"LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 86,000+ talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
+
+LTIMindtree is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities regardless of race, ethnicity, nationality, gender, gender identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability, or any other characteristic protected by applicable law. 
+
+Please note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge candidates any registration fees or other fees for appearing in interviews or securing employment/internships. Candidates are solely responsible for verifying the credentials of any agency or consultant claiming to work with LTIMindtree for recruitment purposes. Please note that anyone relying on representations made by fraudulent employment agencies/consultant does so at their own risk. LTIMindtree disclaims any liability for loss or damage suffered as a result of such actions. 
+
+For more info, please visit ltimindtree.com.","About Us:LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com. Job Title: Data Scientist with Python Work LocationUSA (Tampa, FL) (Onsite/Hybrid)Job Description:Minimum 6+ years of industry experience in enterprise level AI model development and deployment exposureShould have sound knowledge in time series data and statistical data analysis Hands on experience in large Dataset Pre-processing, data cleansing techniques for unstructured data, data pre-processing and data ingestion Deep knowledge and hands on implementation exposure in feature engineering techniques to comprehend expected model outcome - aligning to a given domain led business outcome Experience in Deep learning and Natural Language Processing (NLP) for Text Classification Topic Modelling Sound knowledge on transformer architecture having one of the language model application exposures is a must - Vector DB, Word2Vec, BERT, ColBERT, spaCy, GPT, etc with semi supervised model building experience Sound knowledge of LLM model tuning and conceptual level understanding of how last layer training with self-attention and other hidden layers that are required for LLM model re training MLOps with enterprise scale AI model management deployment exposure and existing model retrain exposure is an added advantageDevelopment experience in Python and or R for data pre-processing, model pipeline builds and data visualizationGood understanding on Data Visualization tools and dashboard creation is an added advantage Familiarity of different data source ingestion management SQL, NoSQL DB and streaming dataMANDATORY CERTIFICATION: Python Institute - Certified Associate in Python ProgrammingBenefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):Benefits and Perks:Comprehensive Medical Plan Covering Medical, Dental, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid Paternity and Maternity LeaveThe range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office:In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.",Mid-Senior level,Data Scientist
+748,2025-04-02,Denver,Colorado,Ibotta,http://www.ibotta.com,"Built in Denver, CO, Ibotta (""I bought a..."") (NYSE: IBTA) is a performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale.
+
+Guided by our values and our mission to Make Every Purchase Rewarding, we come to work energized by the business problems we get to solve, the technology we build, the innovative people we work (and have fun) with, and the consumers we get to help. To date, we have credited American consumers $1.8 billion. The largest tech IPO to come out of Colorado, Ibotta is headquartered in Denver.
+
+Ibotta has been named as a Top Workplace by The Denver Post five times, made BuiltIn Colorado’s Best Places to Work list four years in a row and appeared on Inc.'s list of Best Workplaces in 2017 and 2023.
+","Ibotta is seeking a Data Scientist to join our Marketing Analytics team and contribute to our mission to Make Every Purchase Rewarding. Our team leverages the latest developments and best practices in data analyses, testing methodologies, and statistics to provide actionable insights to the Marketing Team.As a Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build trustworthy and robust datasets for use throughout the organization. This role will immediately drive impact through the support, guidance, and collaboration with multiple spokes as part of our Hub and Spoke organizational layout.You’ll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior scientists and managers on the team.This position is located in Denver, Colorado as a hybrid position requiring 3 days in office, (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.What you will be doing:Contribute to creating best practices for the teamInitiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modelingAnalyze large and novel datasets to extract actionable insights to inform model development and understand consumer behaviorProvide customized views of large and complex datasets to support data analysis and business decision-makingInform experimental design to formulate solutions addressing major business challenges and innovation opportunitiesBuild models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using techniques to measure and optimize model performanceHarden data pipelines and models for production deployment and monitoring of performance over timeEmbrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhereWhat we are looking for:2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related experienceBachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics or similar field required; Advanced degree preferredA passion for driving important decisions using data and data storytellingA love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plusDemonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithmsDemonstrated Python and/or R skills. Spark or PySpark experience is a strong plusBroad and general statistical and mathematical knowledge and skillsExcellent analytical and problem solving skillsDemonstrated knowledge, skills, and abilities in database manipulation, query languages, and graph data schemasExposure to or interest in manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streamsExposure to or interest in MLOps a strong plusAbout Ibotta (""I bought a..."")Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, and 401k match. Denver office perks include paid parking, bagel Thursdays, snacks and occasional meals.Base compensation range: $100,000 - $115,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basis.For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.Recruiting Agency NoticeIbotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.#BI-Hybrid",Entry level,"Data Scientist,  Marketing Analytics"
+749,2025-04-08,China,China,ByteDance,https://job.bytedance.com/en/#/,"ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok.
+
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. 
+
+Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.
+
+We have over 110,000 employees based in more than 30 countries globally. Join us.","ResponsibilitiesThe mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer in MLDev (Machine Learning System) to join our team to support and advance that mission.Responsibilities: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models. Responsible for building a flexible and easy-to-use Machine Learning development API framework. Responsible for collaboration with model teams and providing general solutions to meet their requirements. Convert high-level ML models into formats that can run efficiently on different hardware, and optimize performance.QualificationsMinimum Qualifications: Proficient in Python/C/C++, and have solid programming skills. Familiar with deep learning frameworks (TensorFlow/Pytorch). Capable of using compiler development tools such as MLIR, LLVM, as well as parallel computing platform such as CUDA. Familiar with common machine learning models (MLP/WordEmbedding/Transformer).Preferred Qualifications: At least 5 years of experience in GPU performance optimization. Experience in developing and deploying large-scale systems. Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $435000 - $585000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About UsFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.Why Join ByteDanceInspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.Reasonable AccommodationByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Entry level,Machine Learning Engineer - MLDev
+750,2025-03-20,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.ML models can only be as good as the data we provide them. That's why we continue to innovate on making data and feature engineering as simple, scalable, and efficient as possible. Are you interested in joining us on this mission? You will have the opportunity to build cutting-edge data and feature infrastructure that will power ML models across various domains, including personalized recommendations, payments, games, ads, and more.The OpportunityIn this role, you will have the opportunity to build a next-generation ML data and feature platform to significantly improve the productivity of ML practitioners. Our goal is to enable our ML practitioners to easily define and test ML features and labels, while our platform takes care of the computation, storage, and serving of feature values for both high-throughput training and low-latency member-scale inference use cases.You will also have the opportunity to build a centralized feature and embedding store to enable sharing across various ML domains. Unlocking access to these shared datasets will foster innovation through ML in new business areas that otherwise wouldn’t have been feasible. You will collaborate closely with ML practitioners and domain experts to ensure that our models are built with high-quality features and labels. You will also get to work with the broader Machine Learning Platform organization to deliver a cohesive end-user experience that significantly improves the productivity of ML practitioners.Here are some examples of the types of things you would work on:Design and build a near-real-time feature computation engine to generate ML features for both high-throughput training and low-latency inference applications.Operate and manage the feature computation pipelines and feature serving infrastructure for various ML models across multiple ML domains.Build and scale systems that accelerate training through performant data loading, transformation, and writing.Create frameworks to streamline and expedite the availability of new data for training and serving.Develop feature stores that enable feature discovery and sharing.Increase the productivity of ML practitioners by making it easy to define and access features and labels for experimentation and productization.Minimum QualificationsExperience in building ML or data infrastructureStrong empathy and passion for providing a fantastic user experience to ML practitionersExperience in building and operating 24/7 high-traffic and low-latency online applications Experience with large-scale data processing frameworks such as Spark, Flink, and KafkaExperience in working with and optimizing Scala and/or Python codebasesExperience with public clouds, especially AWSSelf-driven and highly motivated team playerPreferred QualificationsExperience in building and operating ML feature storesExperience with Functional ProgrammingExperience working with Notebooks such as Jupyter or PolynoteOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.Netflix provides comprehensive benefits, including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, a Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and serious injury benefits. We also offer paid leave of absence programs. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.Netflix has a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Software Engineer L5 - Data and Feature Infrastructure, Machine Learning Platform"
+751,2025-03-28,Santa Clara,California,AMD,http://www.amd.com,"We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 
+AMD together we advance_ ","WHAT YOU DO AT AMD CHANGES EVERYTHINGWe care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.AMD together we advance_The RoleWe are looking for an AI Software development engineer who is passionate about building and optimizing deep learning applications and machine learning frameworks.Be a part of an AMD development team and the open-source community to design, develop, test and deploy improvements to make us the best platform for generative artificial intelligence and deep neural networks. Incredibly talented industry specialists.The PersonThe ideal candidate has strong technical and analytical skills in high performance C++. Able to communicate effectively and work optimally with different teams across AMD. Experience in tensor libraries or machine learning execution engines is a plus.Key ResponsibilitiesOptimize key deep learning models on AMD GPUsDevelop and finetune inference and serving engines for large language modelsCollaborate with AMD’s architecture specialists to improve future productsCollaborate with operator libraries team to analyze and optimize training and inference for deep learningWork in a distributed computing setting to optimize for both scale-up (multi-accelerator) and scale-out (multi-node) systemsOptimize the entire deep learning pipeline including graph compiler integrationParticipate in new ASIC and hardware bring upsApply your knowledge of software engineering best practicesPreferred ExperienceAbility to work independently, define project goals and scope, and lead your own development effortDeep Learning experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systemsProgramming in High-Performance Domain-Specific Languages for GPU or ML ASIC Computing (HIP, CUDA, OpenCL, Triton, KNYFE, Mojo)Using debuggers (LLDB, GDB) and profilers on heterogeneous hardwarePyTorch or TensorFlowFamiliarity with ML Graph Compilers (Glow, FX, XLA) is a plusKnowledge of the lower levels of typical ML workflows from MLIR to LLVM all the way down to assembly language(s) is a plusAcademic CredentialsMaster’s or PhD in Computer Science, Computer Engineering or related fieldsBenefits offered are described: AMD benefits at a glance.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.",Mid-Senior level,ML Frameworks Software Development Engineer - vLLM
+752,2025-04-04,Knoxville,TN,Tombras,http://www.tombras.com,"Tombras is a 450+ person, full-service agency with a digital mindset. We are one of the top independent agencies in North America. We are united by our philosophy: Connecting Data & Creativity for Business Results.®
+
+
+2023 AdAge A-List Standout 
+2022 ADWEEK US Agency of the Year (Finalist)
+2021 Fast Company World Changing Ideas
+
+
+Clients include Orangetheory Fitness, MoonPie, BUSH's Beans, Rolls-Royce, Pernod Ricard, Frito-Lay, Zaxby's
+
+
+
+","Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided.The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing:Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the resultsDevelop the framework and approach for marketing science and develop bespoke offeringsEmploy best in class tooling to develop proprietary Martech in partnership with the Technology and Media practicesIdentify new and innovative data sets that can be used to improve existing modeling work, or deliver net new modelsClearly articulate statistical results to clients, ultimately leading to continued client engagement and implementationWhat you bring:M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research(Optional) Experience in marketing science or advertising analyticsMastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice ModelsStrong competency with python, R, SQL, and other commonly used statistical toolsClient services mindsetAbility to influence clients and partner agencies to act on insightsAbility to distill complicated information into succinct graphical presentations for senior stakeholdersWhy Join Tombras Analytics?Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.Why you’ll want to work at Tombras:You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You’ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.Tombras Benefits:Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly officesUnlimited PTOGenerous parental leave for primary and non-primary caregivers.Medical (PPO or High Deductible option) for employee + dependents401(k) ParticipationEmployer-paid Dental & VisionA company culture of promotions from within and an atmosphere allowing for varied and rapid career development.New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values.Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.Tombras is an E-Verify employer and participates in the E-Verify program.This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.",Not Applicable,Data Scientist
+753,2025-04-04,San Francisco,California,DoorDash,https://careersatdoordash.com/,"At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. 
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
+","About The TeamCome help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery! We're looking for an experienced machine learning engineer to help us develop the cutting-edge machine learning models that power DoorDash's growing grocery and retail business.About The RoleWe’re looking for a passionate Machine Learning Engineer to join our team. You’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the ranking, fulfillment and catalog system at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our consumer shopping journey delightful, fulfillment system efficient and knowledge graph accurate. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multidisciplinary teams.You will report to the engineering manager on our New Verticals ML team. We expect this role to be hybrid with some time in-office and some time remote.You’re Excited About This Opportunity Because You Will…Develop production machine learning solutions to solve various shopping and dashing problems including recommendation, search, logistic optimization, product knowledge graph building.Partner with engineering, product, and business strategy leaders to help shape an ML-driven product roadmap and grow a multi-billion dollar retail delivery business.Find new ways to use diverse data sources, intuitive models, and flexible experimentation to create a world-class shopping and dashing experience. You can find out more on our ML blog post hereWe're Excited About You Because You Have…1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree of developing machine learning models with business impactExperience with machine learning methods in Recommendation System, Search, Causal Inference, Optimization, Time Series, Natural Language Processing, Large Language Model, Computer Vision.Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks.M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.The desire for impact with a growth-minded and collaborative mindsetNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC OnlyWe use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: CoveyCompensationThe successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible vacation, plus 80 hours of paid sick time per year; for hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.To learn more about our benefits, visit our careers page here.The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.I4$137,100—$201,600 USDI5$167,800—$246,800 USDI6$203,500—$299,300 USDAbout DoorDashAt DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.Our Commitment to Diversity and InclusionWe’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.If you need any accommodations, please inform your recruiting contact upon initial connection.",Entry level,Machine Learning Engineer - New Verticals
+754,2025-03-28,Virginia Beach,Virginia,"G2 Ops, Inc.",http://www.g2-ops.com,"G2 Ops is a preferred provider of analytical and innovative solutions in the following areas:
+-  Model-Based Systems Engineering
+-  Cybersecurity Requirements, Analysis, and Threat Assessment
+-  Cybersecurity Consulting
+
+Strategic vision: G2 Ops helps companies stay ahead of cyber crime and IT threats by identifying and measuring weaknesses before incidents occur, then providing remediation priorities based on individual business and financial risk thresholds.","Quick Position Facts!Job Code: 039Location: San Diego, California at our wonderful G2 Ops office and customer siteWork Setting: In person, some flexible working hours, not a fully remote positionLooking to Start: April 1, 2025Salary Range: $90,000+Openings: 1 Full-Time RoleKnowledge Requirements: Experience with software integration or testing, including analyzing and implementing test plans and scriptsExperience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analyticsExperience with data science, data mining, statistics, or graph algorithms to support analytics objectivesExperience applying Structured Query Language (SQL), Non-Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search IndexExperience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or AntigravityExperience applying complex mathematical and statistical conceptsExperience applying statistical and operations research methods and toolsExperience employing spreadsheets for data manipulation and visualizationYears of Industry Experience: 3+ years of relevant experience Security Clearance Requirement: Must be able to obtain and maintain Active DoD SECRET ClearanceWhat makes someone choose one company over another?Pay, benefits, training, work satisfaction, culture? What if you can have it all? At G2 Ops, we have extremely competitive pay and benefits but that is not even the best part. Our culture is what sets us apart from other companies. With us, you will not be another payroll number or a cog in the machine. We provide great value to our customers by working as a team and ensuring every member is set up for success. Our team approach allows for each member to not only provide value with their expertise but also gives them the opportunity to cross-train in other areas in which they have an interest.Embracing AI. G2 Ops stays ahead of the competition by embracing the latest technologies, including Artificial Intelligence (AI). We are looking for team members who are excited to explore and implement AI solutions that can improve internal workflows and deliver superior results for our clients. Whether you are reducing manual processes or developing predictive models, we provide the tools and support to make AI an integral part of your work.Let's talk salary.The annual salary range for this position starts at $90,000+ based on your qualifications. We also offer a competitive benefits package and have fringe benefits offered throughout the year. The benefits package value ranges from $13,000 for a single employee, and up to $28,000 for an employee and their family. With company standard annual performance reviews in place, plus excellence awards for recognition, your performance will be rewarded and appreciated, we promise!So, you want to work from home?Let's be honest, remote work is not always all it's cut out to be. At G2 Ops, we offer a flexible schedule to meet the needs of our employees and customers. Due to the classification level of the projects we support, we are not able to offer fully remote opportunities at this time. As a Defense Contractor, we are frequently working with sensitive material, and therefore, we need to ensure where you access your work is secure.You will have a shiny desk at our G2 Ops office, plus the opportunity to work at a military site directly with our customers (this is a good thing!). We do allow teleworking and condensed work schedules with prior approval, but supportingthe DoD, you will be required to work at a militarysiteas well.Here's the thing, we have worked very hard to create an awesome culture where our employees get to come to a collaborative, exciting office environment and we want you to join the fun!Still not convinced?Allow us to elaborate. For this opportunity, we are seeking a highly motivated, team-oriented Data Scientist. This exciting position provides the opportunity to work on advanced data analytics, machine learning, and artificial intelligence techniques to support the U.S. Navy's mission by enhancing operational decision-making and developing innovative solutions for complex technical challenges. This role involves analyzing large datasets, creating predictive models, and working closely with cross-functional teams to improve systems and processes in areas such as cybersecurity, logistics, communications, and mission operations.What does this mean to you? We are seeking expertise in data science in the following areas:Data Analysis: Analyze large, complex datasets to identify trends, patterns, and insights that can drive operational improvements and inform decision-making across various NAVWAR initiativesMachine Learning & AI: Design, implement, and optimize machine learning algorithms and artificial intelligence models to solve operational and strategic challengesModel Development: Develop predictive models and algorithms that support mission-critical systems, with an emphasis on automation, forecasting, and anomaly detectionLastly, as we are working for the DoD, we are beholden to some requirements. The ideal candidate would already possess an activeDoD SECRET clearanceandcloud or security certifications.Quick Reminder, we are seeking a full-time team member; the continuation of outside employment shall not constitute a conflict with the Company’s interest, including performing work for a customer or competitor.Congratulations, you made it all the way to the end of this job posting! We look forward to learning more about you!Benefits100% company-paid insurance for medical, dental, and vision for eligible employees and family members100% company-paid insurance for life, short-term (STD) and long-term disability (LTD) for eligible employees 401(K) Plan with discretionary employer matching10 paid holidaysPaid time off (PTO)Educational assistanceWork/life balanceFamily-oriented cultureCompetitive salariesAbout G2 Ops, Inc.G2 Ops, Inc. is a small business with big capabilities in cyber security architectural analysis, model-based systems engineering (MBSE), and strategic consulting in support of both government and commercial clients across the globe. As a trusted and reliable government contractor, we deliver cyber security & systems engineering support for integrated DoD weapons, communications, intelligence, and other mission-critical systems. In the commercial space, we provide business solutions analysis, strategic planning, and training and development services to a variety of public and private sector businesses and organizations. Through innovative solutions, exceptional employees, top-tier analytical capabilities, and a customer-centered focus, G2 Ops has established a reputation for service excellence and innovation.G2 Ops, Inc. is an Equal Opportunity EmployerPowered by JazzHRd6jni64BJi",Mid-Senior level,Software Engineer/Data Scientist
+755,2025-04-09,London,England,Orbis Group,http://www.weareorbis.com,"We are Orbis Group. 
+
+We work with brands that are passionate about tech, diversity, community and change. 
+
+Our vision is to be the premier source for identifying and connecting excellence across financial services, life sciences and technology.
+
+We are people specialists. Our mission is to continuously define and identify excellence; refined to exact requirements through the rewarding experience of better partnerships.
+
+This is connecting excellence.
+
+Email: info@weareorbis.com
+London: 0203 854 0024
+
+To view live roles and to register with us, visit www.weareorbis.com","Job Title: Senior Machine Learning EngineerLocation: Remote (US-based only)Salary: $200,000 - $220,000 + Bonus + EquityOur client, a generative AI scale-up, is building large-scale Large Language Models (LLMs) to compete with industry giants like OpenAI, Anthropic, Google, and Microsoft. As the company is entering an exciting growth phase, they are looking for multiple Machine Learning Engineers at all levels to help deploy and manage ML models at scale.Machine Learning Engineer Responsibilities:Design, implement, deploy, and manage machine learning algorithmsWork closely with Researchers, Product, Platform, and Software teamsHandle real-time, multimodal dataContribute to the development of cutting-edge AI modelsMachine Learning Engineer Requirements:Graduate degree in a relevant STEM field (CompSci preferred)4+ years of experience deploying models into productionStrong Python experience (experience with Scala, Java, R, or Haskell a plus)Familiarity with Platform/MLOps tools such as Kubernetes and DockerAbility to work as part of a high-performing, small, remote teamEnd-to-end ownership of projects, driving technical decisions and model deploymentBenefits:Competitive salary with bonus and RSUsComprehensive benefits package including 401k, medical, dental, and visionUnlimited PTOIf you're ready to be part of a game-changing company in the AI space and want to contribute to the next generation of LLMs, don’t hesitate to apply!",Mid-Senior level,Senior Machine Learning Engineer
+756,2025-03-08,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced Front end Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team that’s working to help people connect with each other around the globe. Join us!Software Engineer, Front End Responsibilities:Lead complex technical or product efforts involving many engineersProvide technical guidance and mentorship to peersImplement the features and user interfaces of Facebook products like News FeedArchitect efficient and reusable front-end systems that drive complex web applicationsCollaborate with Product Designers, Product Managers, and Software Engineers to deliver compelling user-facing productsIdentify and resolve performance and scalability issuesMinimum Qualifications:6+ years of JavaScript experience, including concepts like asynchronous programming, closures, types, and ES65+ years of HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibilityExperience with browser APIs and optimizing front end performanceExperience building maintainable and testable code bases, including API design and unit testing techniquesDemonstrated experience driving change within an organization and leading complex technical projectsCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Shipped at least one large-scale product to production, supporting millions of active usersAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Front End"
+757,2025-04-03,Boise,Idaho,Micron Technology,http://www.micron.com,"Micron is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence (AI) and compute-intensive applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more about Micron Technology, Inc. (Nasdaq: MU), visit micron.com.","Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious Machine Learning Engineer. Are you curious, high velocity, and ready to solve complex problems? Do you dream in data science and machine learning models? If so, we want you to join us!Our mission is to enable to deliver industry-winning machine learning solutions to power Micron’s dominance in the highly competitive memory solutions market. Qualified applicants will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable pipelines to execute machine learning models. You will collaborate with Data Scientists, ML Engineers, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron’s manufacturing processes and systems.Responsibilities include, but not limited to: Data Analysis and ModelingAnalyze existing Micron data sets to identify patterns, trends, and insights that can enhance machine learning model development.Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality.Build knowledge by keeping up with latest advancements in machine learning and artificial intelligence (AI), integrating new techniques and technologies into our MLOPS development process.Data infrastructureBuild and maintain Data/Solution Pipeline Engineering to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models.Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models.Design and optimize data structures in data management systems (Cloud platforms - Snowflake, GCP, Azure) to enable AI/ML solutions. Model Deployment and MonitoringBuild custom software components and analytics applications.  Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment. Implement strategies for deploying machine learning models into production environments.Responsible for selecting best model to meet both model performance and minimize compute costs.Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement.Generative AI Integration StrategyCollaborate with the Product and Engineering teams to find opportunities for integrating machine learning and Generative artificial intelligence capabilities into Project solutions/platform.Collaborate with the Product team to craft a Tactical roadmap for the adoption of machine learning technologies, paradigms & frameworks following standard methodologies.CommunicationWork in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence.  Convey findings, insights, and recommendations to both technical and non-technical customers in a clear and accessible manner.Outstanding analytical thinking, interpersonal, oral, and writtenAbility to prioritize and meet critical project timelines in a fast-paced environment.  Minimum Qualifications: Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning. 2+ years of experience in building and executing end-to-end ML systems automating training, testing, and deploying Machine Learning models in cloud platforms.2+ years of strong working knowledge of databases (Oracle, MSSQL, Snowflake, or BigQuery)   2+ years of experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)  2+ years building scalable ETL pipelines with big data processing and/or developing applications and data sources using (Airflow/Kubeflow/Dataflow)Strong programming skills in one of the following, Python or Java Understanding of Prompt Engineering, NLP, RAG Fine-Tuning using one or more of Langchain, DsPy, Semantic Kernel, Tensorflow, and Pytorch.Experience with continuous integration/continuous delivery (CI/CD) using tools (Jenkins, Git, Docker, Kubernetes and containerization) Solid understanding of prediction (regression) and classification algorithms and familiarity with deep learning, reinforcement learning and generative AI.Experience developing Machine Learning or Artifical Intelligence solutions with either PythonExperience in cloud platform technologies in either of GCP ,AWS, AZUREPreferred Qualifications: PhD in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning. Familiarity with Data architecture (data structures, data schemas, etc.).  Deep knowledge of math, probability, statistics, and algorithms  Demonstrated ability to study and transform data science prototypes into production solutions.Knowledge of computer vision and/or signal processing including techniques for classification and feature extraction As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.To learn about your right to work click here.To learn more about Micron, please visit micron.com/careersFor US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.",Mid-Senior level,Machine Learning Engineer
+758,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join USCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team Introduction:The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.We are looking for talented individuals to join our team in 2024-2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates globally.Responsibilities: Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems. Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions. Deploy and maintain scalable recommendation models for real-time query handling and product suggestions. Analyze complex datasets to derive insights that guide strategic decisions. Stay up-to-date with the latest machine learning developments, incorporating them into your work.QualificationsMinimum Qualifications: Master's or PhD degree in Computer Science, Engineering, Operations Research, or related fields. Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline Thorough understanding understanding of data structures and algorithms, with excellent problem-solving ability. Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineeringPreferred Qualifications: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications Internship experience or research experience, especially in e-commerce, recommendation, search engine Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI. Curiosity toward new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilitiesTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2025 Start (PhD)
+759,2024-10-02,New York City,New York,Valence,https://www.valence.co/,"Valence has created the widest deployed AI-native coach for enterprise, rapidly changing the face of leadership development, learning, and collaboration at work. 
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+Our enterprise-grade, responsible AI applications are trusted by the world’s largest and most secure companies like Nestlé, The Coca Cola Company, General Mills, Vanguard Mutual, Experian, Prudential, Schneider Electric, Applied Materials, ServiceNow and more.
+
+Join us to shape the future of work and accelerate your career - www.valence.co/careers
+
+Find us in New York | Toronto |  London","Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee. At Valence, we're not just talking about the future of work – we're actively shaping it.From your first interaction with us, you'll notice we're different. By working here you won't just implement solutions for our clients; you'll be helping to architect the future of leadership in the age of generative AI. And we'll be honest – this is not for everyone. But for those with an insatiable desire to work fast on complex, unsolved challenges with some of the best talent in tech, this could be the career-defining opportunity you've been waiting for.The RoleThis role is a Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our Head of AI. In this role you will implement, and optimize machine learning models that power our coaching insights and recommendations. This role is focused on the development and optimization of machine learning models and algorithms, optimizing the underlying ML infrastructure and model development. This role will directly impact our product's core and shape the future of AI-driven leadership coaching for Fortune 500 enterprises.About ValenceWe're a Series A B2B SaaS company, backed by Insight Partners, that's pioneering the first generative AI leadership coach for large enterprises. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together. We've been featured in Harvard Business Review, and our client list reads like a Who's Who of global business, including Coca-Cola, Nestlé, General Mills, ServiceNow, AstraZeneca, Prudential, Citi, CVS and Bristol Myers Squibb.What You'll DoYou will develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready. Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goalsWork with the product team to analyze user behavior and prioritize evolving requirementsExperiment at a high velocity, conducting statistical analyses, to optimize the end user experience Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancementsDocumentation of models, prompts, and processes to increase replicability and drive quality improvements. Stay current with the latest leading research advancements in ML, LLMs, and Conversational AISupport other coding and feature development where requiredWhat We're Looking ForBachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field)Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information RetrievalStrong foundation in data structures, algorithms, and software engineering principlesProficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM)Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad) Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML servicesStrong analytical and problem-solving skillsExperience structuring and running data-backed experimentsStrong written and verbal communication skillsExposure to early-stage startups, preferably B2B SaaSWhat You'll GetOwnership of projects and strategic priorities regardless of seniority in our learning-focused environmentStrong ties to the executive team, a culture of transparency and engagement with strategic decisionsOptions from day one, which means you will be on the ownership track right awayCompetitive salary and equity packagesComprehensive health coverage (medical, dental, and vision) from day 1Provision of anything you need to be successful - learning tools, hardware, office equipment, software401k optionality for US based employeesGenerous PTO, company-wide R&R shutdowns and paid leave for parents. A WFH stipend, phone stipend and support to work in a We Work or other space as preferredLocation and Work EnvironmentIf candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.Diversity and InclusionWe are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co.",Not Applicable,Machine Learning Engineer
+760,2025-01-24,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is building the Metaverse, the ""spatial internet"" where immersive virtual worlds will coexist with the real world. Spatial AI team under Reality Labs (RL) develops cutting-edge technologies that serve as the foundation of Meta AR/VR products. From tracking & localization to context/semantic understanding, our team takes new technologies from early concept to the product level while prototyping and realizing the new experiences they open up. We are looking for software engineers who are passionate about building tracking & positioning solution for AR/VR devices. In this role, you will be involved in novel technology development using a variety of sensors for inertial and visual motion tracking, spatial mapping & understanding, and sensor fusion for positioning and places identification. You will collaborate with other engineers and researchers in deploying such solutions in RL devices and light-up the next generation experiences such as world-locked rendering, AI powered spatial recommendation, and fitness tracking.Software Engineer, Sensor Fusion and Machine Learning Responsibilities:Lead the design and development of advanced tracking and sensor fusion algorithms that leverages visual/IMU inertial tracking with other sensor data (e.g., GPS, WiFi, magnetometer, barometer, etc.) to achieve robust and accurate device position estimation for AR/VR devices in any environments.Follow the state of art tracking & localization technology and define our tech roadmap for adopting these technologies into RL devices.Lead execution and collaboration with multidisciplinary engineering and research teams to drive technologies development from incubation to production.Be a go-to person to escalate the most complex online / production performance issues that require an in depth knowledge.Define projects for other engineers to possibly solve and achieve impact based on your direction.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Industry experience coding with C++ and Python for design and development of tracking, sensor fusion and machine learning technologies and systems.Experience in designing software systems and machine learning models targeted for edge devices.Demonstrated familiarity with modern machine learning algorithms and experience with modern machine learning frameworks such as PyTorch.Preferred Qualifications:PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.Experience in inertial/visual motion tracking, Kalman filters and state estimation, neural inertial fusion, visual or wireless positioning.Experience mobile optimization, DSP acceleration, Android Open Source Project.Experience in handling sensors such as IMU, magnetometer, WiFi/BLE, Camera and GNSS.Experience with common digital signal processing techniques such as digital filtering, Fourier transform, correlation, and modulation.About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Sensor Fusion and Machine Learning"
+761,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Machine Learning Engineer, Level 5"
+762,2025-02-27,Herndon,VA,Presage Technologies,http://www.presagetechnologies.com,Presage Technologies automates healthcare by transforming hardware-based medical devices and time-intensive processes into software. ,"WHO WE ARE At Presage Technologies, we believe in improving the quality of healthcare while also making it more affordable and accessible. Over 90% of the world’s population has access to a device that can power our software, but less than half have access to basic health services. We are aiming to close that gap by developing cutting-edge artificial intelligence and video analytics to transform consumer electronics and mobile phone consumer apps into sophisticated health sensing platforms. WHAT YOU’LL DOOur Machine Learning Engineer will play an integral role in the development and progression of our state-of-the-art technologies. You will come up with solutions to help solve some of the toughest computer vision problems society faces. General tasks may include, but are not limited to:Design, build, deploy, and improve machine learning, deep learning, and computer vision algorithms to analyze video and biosignal data and generate functional metrics.Train, validate, and optimize models using large data sets, ensuring high performance and generalization. Guide project directions and research and development efforts.Contribute to high impact publications and patents.This is a hybrid role with the expectation that you will be required to work from our office in St. Louis, Missouri. WHO YOU AREYou are an ambitious, self-driven, and technically strong individual. You enjoy teamwork, innovation, and the fast-paced environment of a startup. To succeed within this role, you have the following qualifications:MS/PhD in Computer Science, Statistics, Applied Mathematics or a closely related field.5+ years of demonstrated experience developing/implementing Machine Learning and/or Artificial Intelligence algorithms in computer vision solutions.Expert in Python.Experience analyzing time-varying signals, including robust feature extraction and classification.Experience building custom deep learning architectures for inference from video with 3D CNNs and/or RNNs.Experience building custom deep learning architectures for inference from multiple time-varying signals.Ability to dynamically collaborate in a small team setting.Ability to brief and report results to peers as well as stakeholders.Expert in using Tensorflow or PyTorch.Experience with other Machine Learning models including decision trees (XGBoost, LightGBM, etc.).Highly DesirableDeploying models at the edge/mobile in C++, Java, Javascript, Objective C.Experience with hyperspectral imaging and/or time-varying video analysis.Experience combining multimodal imaging signals.Strong background in statistics.Rapid code prototyping skills.Relevant work experience in computer vision and machine learning for applications to health careIf you are passionate about cutting edge technology and are looking to make a significant impact in a fast-paced and innovative environment, we encourage you to apply for the Machine Learning & Computer Vision Engineer position at Presage Technologies. Join us in shaping the future of healthcare.INTERVIEW PROCESSPhase 1: Submit a ResumePhase 2: Downselection for Introductory Interview with Operations Leadership with Q&APhase 3: Downselection for Machine Learning Background InterviewPhase 4: Downselection for Machine Learning Performance TaskPhase 5: Negotiations and OfferTimeline: The entire process can occur in less than two weeks for the right candidate.",,Machine Learning & Computer Vision Engineer
+763,2025-04-09,San Francisco,CA,Wonderschool,http://www.wonderschool.com,"At Wonderschool (www.wonderschool.com) our mission is to ensure every child has access to early education that helps them realize their potential. There is a major shortage of childcare and preschools in the United States and we believe one of the best ways to increase access for families is to help teachers start great child cares and preschools out of their homes. We provide assistance with licensing, setting up a classroom, setting pricing, building a website, matching parents to their program, operating a school day to day, and everything in between. Our goal is to build product to let teachers focus on what they do best – caring for and educating children.","About WonderschoolWonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.We are seeking a highly skilled and motivated Sr. Development Engineer to join our team. As the Sr. Development Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.Role OverviewWe are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. This is a unique opportunity to work in a fast-paced, purpose-driven environment where you can apply your technical skills to create meaningful impact in the childcare ecosystem. You’ll collaborate with cross-functional teams to build scalable, AI-driven solutions that empower childcare providers and improve parent experiences.Key ResponsibilitiesDesign, develop, and maintain robust software solutions with a focus on integrating AI capabilities.Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.Design and Development of AI Agents: Build modular, task-specific AI agents capable of natural language understanding, dialogue management, and action execution using frameworks such as LangChain or Rasa.Debug and troubleshoot technical issues to ensure platform stability.Stay current with emerging technologies and best practices in software engineering and AI.Required QualificationsBachelor’s degree in Computer Science, Engineering, or related field.Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Basic understanding of cloud platforms like Google Cloud Platform and AWS.Excellent communication skills and ability to work in a collaborative, in-person environment.Nice-to-Have SkillsStrong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications. Retrieval-Augmented Generation (RAG) Pipelines: Design and deploy RAG pipelines by integrating retrievers with generative models to enable contextual, real-time responses using vectorized knowledge bases.Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.What We OfferCompensation: Expected salary range is $100K–$120K annually, based on experience and location.Health Benefits: 100% coverage for employee premiums and 80% for dependents.Wellness: Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.Parental Leave: Competitive policies eligible after six months of employment.Work Environment: Fully remote with flexible hours and regular team bonding opportunities.Wonderschool’s mission is to ensure every child has access to child care that helps them realize their potential. We are doing this by building a suite of tools to support passionate early care and education professionals to start and run quality and sustainable child care programs. Our tools allow providers to easily manage their students, parents, and school all from one dashboard. Our community allows providers to seek advice, support, and a sense of belonging with a group of like-minded peers.For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.The first five years of a child’s life are critical for nurturing brain development for success in school and beyond. All children deserve access to a care situation that will allow them to grow into healthy, lifelong learners. By leading a revolution where all children are able to get access to an environment to develop these skills, we can create drastic changes to neighborhoods and societies as a whole.",Mid-Senior level,Early Career Software Engineer – Applied AI
+764,2025-03-30,South San Francisco,California,Stripe,https://stripe.com,"Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.","Who we areAbout StripeStripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career..About The TeamStripe's Applied ML organization is excited to offer new grad PhD machine learning engineering positions for 2025. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.You will tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.What you’ll doResponsibilitiesDevelop and deploy large-scale machine learning systems that drive significant business value across various domains.Engage in the end-to-end process of designing, training, improving, and launching machine learning models.Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.Who you areMinimum RequirementsA deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2024 or spring/summer 2025.Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn.Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders.A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently.Preferred QualificationsTwo years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning.Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects.Familiarity with navigating new codebases and managing work across different programming languages.Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences.Application requirementsPlease Submit The Following With Your ApplicationA description of your work history (either a resume, LinkedIn Profile, website, or other portfolio of work)Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios.Hybrid work at StripeOffice-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.Pay and benefitsThe annual US base salary range for this role is $173,100 - $270,000. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.",Entry level,"PhD Machine Learning Engineer, New Grad"
+765,2025-04-03,San Francisco,California,Notion,https://notion.com,"Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes? With Notion, they're all in one place, and totally customizable to meet the needs of any workflow. It's the all-in-one workspace for you, your team, and your whole company. 
+
+We humans are toolmakers by nature, but most of us can't build or modify the software we use every day — arguably our most powerful tool. Our team at Notion is on a mission to make it possible for everyone to shape the tools that shape their lives.","About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.We've been working on this together since 2016, and have customers like Nike, Airbnb, Slack, Samsung and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.About The RoleMobile devices have reshaped personal computing—the power of a desktop now fits in our pockets. By giving everyone the building blocks to create their own tools, we'll solve more problems wherever we go. A delightful, intuitive mobile experience: that's our guiding light, and we need iOS engineers to make it a reality.What You'll AchieveYou'll work with the team to build new product features for our iOS app. This might include a better mobile typing experience.You'll improve the performance, reliability, and polish of our iOS app. This might involve rewriting a cache system to decrease startup time.You'll help build and improve internal tools with simplicity and productivity in mind. For example, you might write a script that makes it easier to deploy new versions of our apps.Skills You'll Need To BringThoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.Ability to ship quality apps at scale: You can work with a team to build and maintain quality iOS apps for a large audience. You're familiar with Swift or Objective-C and have handled UI, networking, and threading in those languages.Pragmatic and business-oriented: You care about the business impact of what you're building, and you prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line.Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.Team player: You understand when work is better, together. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.Nice To HavesYou've built or maintained apps for Android, using Kotlin or Java.You're proficient with other parts of our technology stack: React, TypeScript, Node.js, and Postgres.You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.You have interests outside of technology, such as in art, history, or social sciences.Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.",Not Applicable,"Software Engineer, iOS"
+766,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technologyPreferred Qualifications 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2917619",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center - Model Customization"
+767,2025-04-04,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.About The TeamThe Commerce Product Data Engineering team is responsible for data that is critical in driving business growth at Netflix. Our work empowers product managers and business leaders to rapidly experiment and innovate on product experiences that drive towards our goal to “Entertain the World”. In this role, you will partner closely with other engineers and data scientists to power experimentation, analytical data products, and machine learning models. This is an opportunity for someone with a strong data engineering background to demonstrate their thought leadership in crafting metrics and elegant insights that have a direct impact on the business.In this role, you will be an instrumental contributor in developing experimentation and reporting data pipelines that will help us continue to build our ads business. We are invested in protecting our members’ data, and in this particular role we are looking for someone who is capable of being a strong cross-functional partner and data steward to ensure we manage sensitive datasets in a privacy-compliant manner. Since the data you manage will help the company weigh trade-offs and inform key strategic decisions, you will need to build a holistic understanding of the space while also developing deep domain knowledge to inform your technical decision-making.Who Are YouYou are proficient in at least one major language (e.g., Java, Scala, Python) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.You are proficient in working with distributed systems and have experience with different distributed processing frameworks that can handle data in batch and real-time e.g. Flink, Spark, etc. You have a product mindset and are curious to understand what the business needs. You have a naturally collaborative style and build strong partnerships with cross-functional stakeholders across organizational lines working effectively with various teams, including data science, privacy, platform, and ads teamsYou have a solid handle on best practices relating to data governance and are capable of applying your strong data stewardship skills to managing sensitive datasets and ensuring their quality and security.You have experience complying with internally or externally imposed privacy constraints and regulations (e.g., GDPR) when it comes to managing data.You proactively think about ways to build upon and improve the systems you work with and are opinionated about engineering principles and have demonstrated experience delivering positive outcomes by putting those principles into practice.You leverage your own judgement and input from others to deliver data to meet short-term business needs while also continuously striving for ways to improve our efficiency and effectiveness in delivering long-term value and unlocking new capabilities and insights.You relate to and embody many aspects of Netflix's Culture. You love working independently while also collaborating and giving/receiving candid feedback.A few more things to know: Our culture is unique and we live by our values, so it's worth learning more about Netflix at jobs.netflix.com/culture. We regularly share examples of our work on our tech blog. You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks. Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,Data Engineer (L5) - Commerce Product Data Engineering
+768,2025-01-10,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+769,2025-04-09,Guangzhou,Guangdong,XPENG,https://www.xpeng.com/,"XPENG is a leading tech company that designs, develops, manufactures, and markets intelligent mobility solutions. We explore the diversity of mobility including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. We focus on creating a future of mobility that uses thoughtful and empathetic intelligence to improve the driving experience.
+XPENG is committed to in-house R&D, with almost 40% of our employees working in R&D-related areas helping to develop our expanding product portfolio. The Company has created a full-stack Advanced Driver Assistance System (XPILOT), as well as an intelligent operating system (Xmart OS) for an enhanced in-car experience. XPENG has also developed core vehicle systems for enhanced driving capabilities, including powertrains and advanced electronic architecture.
+XPENG is headquartered in Guangzhou, China with multi-regional offices in Beijing, Shanghai, Shenzhen, Silicon Valley, and San Diego. In 2021, the Company established its European headquarters in Amsterdam, along with other dedicated offices in Copenhagen, Munich, Oslo, and Stockholm. XPENG's EVs are manufactured at the fully-owned plant located in Zhaoqing, China. To further expand our production capacity, two new self-owned intelligent EV manufacturing bases in Guangzhou and Wuhan are under construction now.","XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. With this mission, we are looking for passionated machine learning engineers of all levels who will develop robotics technology together with us to shape the new future of humanoid robots. You will work on a lean team without boundaries. Your influence will be on every single product that is shipped, without boundaries as well.Job Responsibilities:Develop and maintain machine learning models (e.g. VLM, VLA, RL, etc.) training and deployment pipelines that could scale to massive production.Work on efficient foundation models (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in humanoid robots.Work on efficient and effective ways to generate/leverage large scale dataset and computational resource.Explore novel ways to generate synthetic data to improve the data diversity & quality.Communicate and align with different teams on product needs across the company.Minimum Qualification:Strong python programming skills & software development, and strong experience with any major deep learning framework.Solid background in machine learning, natural language processing, computer vision, speech or data science.Open-minded, collaborative & humble personality.Preferred Qualification:Deep understanding of multimodal LLM modern architectures, ""under the hood"" LLM training knowledge, quantization techniques, etc.Record of publications, innovations or leadership.What do we provide:A fun, supportive and engaging environmentOpportunities to make a significant impact on the future of transportation and roboticsOpportunity to work on cutting edge technologies with the top talent in the fieldCompetitive compensation package & benefitsSnacks, lunches, and fun activitiesThe base salary range for this full-time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.",Entry level,"Machine Learning Engineer, Robotics"
+770,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an Software Development Engineer (SDE) on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsA day in the lifeAs You Design And Code Solutions To Help Our Team Drive Efficiencies In Software Architecture, You’ll Create Metrics, Implement Automation And Other Improvements, And Resolve The Root Cause Of Software Defects. You’ll Also Build high-impact Gen AI solutions to deliver to our large customer base Participate in design discussions, code review, and communicate with internal and external stakeholders Work cross-functionally to help drive business solutions with your technical input Work in a startup-like development environment, where you’re always working on the most important stuffAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technologyPreferred Qualifications 3+ years of full stack development experience Bachelor's degree in computer science or equivalent Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or frameworkAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2937070",Not Applicable,"Machine Learning Engineer, Gen AI Innovation Center, AWS"
+771,2025-04-04,San Diego,California,Faro Health,http://www.farohealth.com,"Faro Health’s cloud-based software platform improves the way clinical trial protocols are designed and optimized, empowering clinical development teams to do more of their best work, and spend less time on tedious, manual processes.  
+
+With Faro, clinical study teams can design optimized clinical protocols in a digital-native way, providing insights that can significantly reduce the burden clinical research places on patients and clinicians, clinical trial costs, and study complexity, while laying the foundation for downstream data flow and process automation. ","Faro Health aims to improve lives by helping life sciences companies design optimal clinical trials. Our AI powered software platform optimizes and orchestrates complex clinical development by providing powerful insights about trial design and outcomes. Faro empowers researchers to design more intelligent trials, reducing development costs and reaching milestones faster with better patient experiences.Faro is a mission driven company seeking world class people who share our passion for improving drug availability and patient outcomes through better clinical trial design. The company prides itself on its vibrant, inclusive, and growth mindset oriented culture. Faro offers competitive compensation and benefits, generous vacation and parental leave, flexible working hours. The company is a hybrid workplace where San Diego employees work from their homes as well as in our lovely main headquarters enjoying a gym, outdoor lawn work area, and food hall. Remote employees work from home and visit the main office for group events and in-person collaboration.As a Senior AI Data Scientist, you will be working directly with the Principal AI Data Scientist and the CTO to inform and implement the AI strategy and plans for Faro Health, driving their execution. The company is committed to applying state of the art AI models and a range of medical data sets in order to solve challenging customer problems in innovative and powerful ways. Projects will leverage LLMs and other forms of machine learning applied to clinical trial design optimization, protocol document generation, outcome prediction, structured data extraction, and many other areas. This is an integral role that requires deep hands-on skills in data analysis, model design, and model building/implementation skills, along with production-level experience with MLOps, model optimization, LLM prompting/guiding/evaluating, and an ability to go from research or idea through to production. We are looking for a code-heavy (Python) data scientist to help take ideas all the way from prototyping and evaluation to implementation and production deployment.Candidates must be able to work in our San Diego, CA office 2-3 days per week.RequirementsResponsibilitiesWork with Faro AI leadership, clinical team, and product managers to design new applications of machine learning and execute our AI/ML research plan to create value for Faro's customersImplement and evaluate proof of concept prototypes to assess the feasibility of research theses. Collaborate with software engineers to develop tools, end user UX, infrastructure and any other systems needed to productize validated ML modelsSource and extract signals from a range of structured and unstructured medical data to provide ML-driven insights for generating and optimizing the design of clinical trialsImplement and optimize data pipelines and inference models to meet production needs, and monitor and maintain models in productionFoster knowledge sharing and education to key product team members, internal stakeholders, and internal engineers about the feasibility, costs, and requirements for machine learning models applied to clinical trial designMentor more junior data scientists and ML engineers on the teamEngage with the latest developments in machine learning and AI applied to the clinical space. Continually develop skills, attend conferences, publish social media articles and papers. RequirementsUniversity degree in Computer Science, Machine Learning, Data Science, or another technical field that encompasses data analysis and predictive modelingMinimum 5+ years experience in ML/AI Engineer or Data Scientist roles building AI-powered product features at high performing technology organizations. Must be both deeply expert hands-on coding and a team leader. Experience in the healthcare or life sciences domain is preferredHands-on experience coding RAG LLM pipelines for production using LlamaIndex or similar tools (not just cloud services)Hands-on experience coding long-form text generation applications for production using data, prompt engineering, evaluation/validation methods, and GenAI LLMs (not just cloud services)Hands-on experience with code-based methods of training, prompting, fine-tuning, and evaluating commercial and open source LLMs and their respective Python libraries for production. Hands-on experience coding and optimizing advanced RAG methods and LLM agentic workflows with multiple LLMs for productionExpert in Python and production-grade experience in LLM frameworks such as LlamaIndex, LangChain, and LangGraphAbility to work collaboratively with cross functional teams, including presenting proposed technology vision, collaborating effectively with product, UX, sales, marketing, operations and other groupsAbility to move and prototype concepts quickly and have impact in a fast moving startup environment where there might be ambiguous requirements and competing prioritiesExperience working in and deploying models on an Azure environment is preferredBonus SkillsDemonstrated ability to rapidly assimilate state of the art AI research and related open source technologies and implement them for evaluationExperience working with clinical trials and their designAbility to lead the technical implementation and application of AI and large language models to complex problems, with the goal of generating significant business valueExperience with common ML frameworks like PyTorch, Scikit-Learn, Pandas, etcExperience leveraging platforms and tools for modeling workflow evaluation (weights&biases, neptune, MLFlow, etc.)Experience applying AI to sensitive corporate data hosted in private deployments is preferredA knack for creating compelling visualizations and non-technical explanations is a bonusBenefitsSalaryBase salary range for this position is $168,000 to $211,000Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or trainingEquityIn addition to this position's salary (listed above), equity will be a major component of the total compensation for this position. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuanceBenefitsHealth Care Plan (Medical, Dental & Vision)Retirement Plan (401k)Stock Option PlanLife Insurance (Basic)Short Term and Long Term DisabilityPaid Time Off (Flexible Vacation Policy, Sick & Public Holidays)Training & DevelopmentWork from Home, Office or Hybrid",Mid-Senior level,Senior AI Data Scientist
+772,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.A ""creative"" is the ad (in the form of a short-form video) served to TikTok users, composed of video, background music, call-to-action card, post-click landing page, and other formats that get delivered to users. A quote goes ""creativity is the soul of advertising"", because a good ad creative is effective, yet difficult to produce, especially at the scale of TikTok advertising.The TikTok Ads Creative & Ecosystem team's mission is to solve the above dilemma, by building industry-leading tech solutions for ads creative/landing page understanding, production/generation, and optimization, to inspire and empower advertisers, creators, and other 3rd parties in the ecosystem to create and deliver the best engaging creative experiences to the end users. Our work is at the core of TikTok and creator monetization. Examples of our team's work include TikTok video editor, AI-powered smart video generation (we are also exploring AIGC), and TikTok creative exchange (a creative marketplace to connect TikTok advertisers with creators or third-party creative agencies).We are user/product oriented and dedicated to technical excellence. We aim to drive and lead the technology renovation in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for ML engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!Responsibilities: Utilize algorithms to achieve a comprehensive understanding of advertisers, creators and creatives to improve the precision of match-making. Conduct online modeling on billion-level commercial traffic, optimizing the distribution strategy of creatives in recommendation system and ads system. Develop a scientific allocation strategy for both natural and ad traffic, aimed at increasing the short-term and long-term value for both advertisers and creators.QualificationsMinimum Qualifications: Bachelor's degree or above, majoring in Computer Science or related fields. 3+ years of relevant development experience and demonstrated knowledge of machine learning (RecSys/NLP/CV/GE), and experience in recommendation systems, computational advertising or operational planning algorithms. Solid foundation in data structures and algorithms, proficient in Python/C++/Golang languages. Passion for new technologies and proven capability in analysis and problem-solving. Good team player with strong communication skills; experience in project management ; strong perseverance and courage to help the business to a higher level.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer, TikTok Ads Creative & Ecosystem"
+773,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+774,2025-04-01,Palo Alto,CA,Glean,https://glean-it.com/glean,"Work AI for all. 
+
+The Work AI platform connected to all your data. Find, create, and automate anything.","About GleanWe’re on a mission to make knowledge work faster and more humane. We believe that AI will fundamentally transform how people work. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work.We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. We’re a diverse team of curious and creative people who want to help each other get big things done—so we can help other teams do the same.We're backed by some of the Valley's leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.RoleGlean is looking for creative engineers to launch beautiful, smooth user facing features from within a modern React and TypeScript codebase. In a rapidly growing startup, this entails developing ideas with product designers to best balance constraints with requirements, delivering best-in-class user interfaces that run in modern mobile and desktop browsers, as well as creating frontend infrastructure to support rapid experimentation and development.What You Will Do And AchieveBuild delightful user interfaces with React.js in collaboration with stellar product designers and backend engineersOversee the entirety of your features from inception to launch and beyondWrite robust code that’s easy to read, maintain and testPush the boundaries of platform constraints to integrate an instant Glean experience into every workflowMentor more junior engineers or learn from battle tested onesWho You AreBA/BS in computer science, or related degreeExperience with a highly polished consumer grade React.js app, or 4+ with any web appKey Knowledge And SkillsThrive in a customer-focused, tight-knit and cross-functional environmentA proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large featuresPassionate about using open web technologies (HTML5/CSS/JS) to build pixel perfect, zero-latency, 60FPS user interfaces that run on all devices Comfortable in TypeScript, or JavaScript and type-curiousExperienced in or desire to master one or more of: Progressive Web Apps (PWA), Web Extensions, Electron, Capacitor, React, Redux, WebpackBenefitsCompetitive compensationMedical, Vision and Dental coverageFlexible work environment and time-off policy401kCompany eventsA home office improvement stipend when you first joinAnnual education stipendWellness stipendHealthy lunches and dinners provided dailyFor California Based ApplicantsThe standard base salary range for this position is $115,000 - $260,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.",Entry level,"Software Engineer, Frontend"
+775,2025-04-01,Chicago,Illinois,Northwestern Medicine,http://www.nm.org,"Northwestern Medicine is the collaboration between Northwestern Memorial HealthCare and Northwestern University Feinberg School of Medicine around a strategic vision to transform the future of healthcare. It encompasses the research, teaching, and patient care activities of the academic medical center. Sharing a commitment to superior quality, academic excellence and patient safety, the organizations within Northwestern Medicine comprise a combined workforce of more than 30,000 among clinical and administrative staff, medical and science faculty and medical students. Northwestern Medicine is comprised of more than 100 locations throughout the region, with five Northwestern Medicine hospitals ranked among “America's Best” by U.S. News & World Report, 2023 – 2024, our legacy of better medicine continues. What makes us better, makes you better.","Company DescriptionAt Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?Job DescriptionThe Senior Data Scientist reflects the mission, vision, and values of NM, adheres to the organization’s Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards.Northwestern Medicine Information Services drives innovative, high-value solutions to transform health care.We are committed to supporting the relentless pursuit of better medicine by providing exceptional service to our patients and guests as well as internal clients across the organization. To ensure excellence, our team goes to extraordinary lengths to ensure that our systems work together seamlessly.Northwestern Medicine understands that technology plays an integral role in shaping the future of health care. Information Services strategically supports the organization by:Enabling digital solutions by leveraging capabilities such as AI, automation, and rollout of advanced cyber controls that support digital transformation strategiesImplementing advanced technologies in clinical and administrative areasFurther develop end user support model to help enhance modern infrastructureResponsibilities:As a leader on the Data Science team, you will work with stakeholders to design, build, and evaluate solutions to business and clinical problems within the organization. You will use data, statistics, and machine learning tools to construct solutions that meet the requirements of the problem and deliver those solutions to make a tangible impact. We do not just build models; we collaborate with experts to understand and solve problems. Bring a product mindset to a technical field to design solutions that deliver value and can be maintained. Help train the rest of the team to have that same mindset. This role is dedicated to the Canning Thoracic Institute and will conduct research and development as well as prototyping advanced technology solutions to enhance medical training, improve quality of care, and enable timely interventions for pulmonary and thoracic patients. Contribute to the development of advanced technologies that enable the use of medical data across a variety of disciplines and modalities (e.g., lung sounds gathered from digital stethoscopes, electrocardiogram waveforms, videos of the airways (bronchi) in the lungs, CT imaging, clinical notes, etc.)QualificationsRequired:Master's degree or equivalent experience in CS, Engineering, Math, Physics, or a related fieldAt least 5 years of experience in machine learning with a focus on model building, analysis of outcomes, and model deploymentProfessional experience using cloud platforms like Azure for scalable data processing and model deploymentProficiency in SQL, Python, and a deep learning library like PyTorchStrong problem-solving skills. Able to analyze complex problems, break them down into manageable components, and develop effective solutionsWorks well with ambiguity. Can navigate a complex problem with little guidance and still deliver resultsStrong stakeholder management skills. Experience building and growing relationships with stakeholders to ensure alignment and successful implementation of data-driven solutionsAble to mentor the rest of the team on topics like programming, deployment, maintenance, project lifecycle, working with stakeholders, etc. Systems level thinking. Ability to think about how a solution will be used and identify other components that need to be built or integratedExperience running projects from inception to deployment. Familiar with the product development lifecycleExperience leading and influencing cross-functional teamsProduct mindset. Able to identify and design solutions that solve a family of problems when relevant, as opposed to treating every problem as unique. Design systems so they can be maintainedPreferredPhD in Computer Science, Engineering, Mathematics, or a related fieldKnowledge of audio processing techniques and algorithmsCollect, preprocess, and augment audio datasets, converting raw audio into spectrogram imagesApply techniques like data augmentation (noise addition, time shifting, etc.) to enhance model robustnessStrong understanding of image processing techniques and algorithmsExperience with traditional and modern computer vision techniques (e.g. object detection, image segmentation, image, and feature extraction)Domain knowledge in healthcare. Understanding of healthcare terminology, workflows, and challenges, enabling effective collaboration with clinicians and healthcare professionalsHealth care data integration experience (PHI/HIPAA, HL7 FHIR)Familiarity with FDA regulation for software as a medical deviceExperience-making strategy decisions for a team while considering short- and long-term impactsAdditional InformationNorthwestern Medicine is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.If we offer you a job, we will perform a background check that includes a review of any criminal convictions. A conviction does not disqualify you from employment at Northwestern Medicine. We consider this on a case-by-case basis and follow all state and federal guidelines.",Not Applicable,"Senior Data Scientist, Full-time, Days"
+776,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We are also exploring how to leverage LLM to further enhance TikTok users search experience, potentially sharping the search engine for the next generation. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding from the perspective of the video itself and social network, improve authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Data-Search-TikTok.US - San Jose) - 2025 Start (PhD)
+777,2025-03-25,Cambridge,MA,Flagship Pioneering,http://www.flagshippioneering.com,"Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple transformative human health and sustainability products. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures. 
+
+The current Flagship ecosystem comprises over 40 companies, including Denali Therapeutics, Foghorn Therapeutics, Generate:Biomedicines, Inari, Indigo Agriculture, and Tessera Therapeutics. ","The CompanyFL100, Inc. is a privately held, early-stage company pioneering the use of artificial intelligence-based agents to build an integrated, end-to-end platform for AI-driven product innovation. FL100 has created intelligent and reliable AI agent-powered workflows for emergent product innovation. Emergent product innovation leads to new products with breakthrough market adoption that generate new sources of value by solving for large unmet consumer needs and creating demand that did not exist previously.We're leveraging multi-agent systems to accelerate growth, speed up product design innovation, and automate e-commerce operations. Our vision is to create a multi-platform service that empowers anyone to build and operate an e-commerce business efficiently. Currently, we offer a Shopify app that demonstrates our capabilities, with plans to expand across various e-commerce platforms and online marketplace.FL100 is backed by Flagship Pioneering, an innovation enterprise that conceives, creates, resources, and builds companies that invent breakthrough technologies to transform health care, agriculture, and sustainability. Flagship has created over 100 groundbreaking companies since 2000, including Moderna.The RoleWe’re seeking a Machine Learning Engineer to develop and operationalize advanced AI solutions for our multi-agent e-commerce automation platform. You will design and implement end-to-end ML workflows—encompassing data pipelines, model training, and production deployment. This hands-on role requires strong collaboration with AI/ML researchers, software engineers, and product managers to create impactful, AI-driven products that integrate seamlessly with e-commerce platforms and online marketplaces (e.g., Shopify, Amazon, eBay).Key ResponsibilitiesDesign and implement end-to-end ML pipelines, from data ingestion and feature engineering to model deployment. Collaborate with cross-functional teams (AI researchers, backend developers, product managers) to build production-ready AI services and APIs. Develop and maintain scalable model serving infrastructure (e.g., using Docker, Kubernetes, FastAPI, or Flask). Integrate ML models with various e-commerce (Shopify, WooCommerce) and online marketplace (Amazon, eBay) data sources to enable seamless, real-time decision-making. Implement CI/CD processes and automated testing for rapid experimentation, A/B testing, and model releases. Monitor and troubleshoot model performance and reliability, proactively detecting drift or anomalies and implementing improvements. Optimize data pipelines and model architectures for speed, scalability, and cost-efficiency in a cloud-native environment. Stay current with emerging ML/AI trends and technologies, driving continuous improvement and innovation in our platform. Qualifications3+ years of hands-on experience in machine learning engineering or related roles. Proficiency in Python and popular ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Demonstrated ability to serve ML models at scale (e.g., Docker, Kubernetes, AWS Sagemaker, or equivalent MLOps tools). Strong grasp of data engineering practices, including ETL pipelines, data validation, and feature engineering. Familiarity with cloud services, preferably AWS (S3, EC2, ECR, Lambda, ECS/Fargate). Experience with CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or equivalent). Excellent collaboration skills and comfort working in a fast-paced environment. Problem-solving mindset and ability to communicate complex ideas effectively. Preferred QualificationsExperience with LLMs or Agentic systems. MLOps expertise using tools such as MLflow or Kubeflow. Familiarity with e-commerce or online marketplace API integrations (Shopify, WooCommerce, Amazon, eBay). Advanced degree (MSc or PhD) in Computer Science, AI, or related field. Knowledge of serverless architectures and microservices. AWS certifications (e.g., Machine Learning Specialty, Solutions Architect). Exposure to big data technologies (Spark, Hadoop) for large-scale data processing. Front-end or full-stack experience (React, Node.js) for quick prototyping. Values and BehaviorsConstant Learner: Seeks out emerging ML/AI trends and harnesses them for practical impact. Customer-Obsessed: Designs solutions that deliver real value to users, keeping the customer’s needs at the forefront. Mission-Oriented: Committed to bringing breakthrough AI technologies to market. Entrepreneurial Spirit: Embraces ambiguity and drives innovative solutions independently. Works with Velocity & Urgency: Efficiently tackles challenges with a results-driven approach. Collaborative: Partners effectively with cross-functional teams and stakeholders. Accountable: Maintains ownership of initiatives and delivers on commitments. Growth Mindset: Views experimentation and iteration as opportunities for improvement. Innovative: Thinks outside the box to advance AI-driven product innovation. About FlagshipFlagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in generation of over 500 patents, initiation of over 50 clinical trials for novel therapeutic agents and an aggregate value of more than $90 billion. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.",Entry level,Machine Learning Engineer
+778,2025-03-25,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The Generative AI Production TeamThe Post-Training pod under Generative AI Production Team is at the forefront of refining and enhancing generative AI models for advertising, content creation, and beyond. Our mission is to take pre-trained models and fine-tune them to achieve state-of-the-art (SOTA) performance in vertical ad categories and multi-modal applications. We optimize models through fine-tuning, reinforcement learning, and domain adaptation, ensuring that AI-generated content meets the highest quality and relevance standards.We work closely with pre-training teams, application teams, and multi-modal model developers (T2V, I2V, T2I) to bridge foundational AI advancements with real-world, high-performance applications. If you are passionate about pushing cognitive boundaries, optimizing AI models, and elevating AI-generated content to new heights, this is the team for you.As a Machine Learning Platform Engineer, you will drive the development of our AI platform, ensuring scalability, efficiency, and robustness for training and serving large-scale diffusion models and multimodal generative AI systems. You will work closely with model researchers, infrastructure engineers, and data teams to optimize distributed training, inference efficiency, and production reliability.Responsibilities Architect and develop scalable and efficient AI infrastructure to support large-scale diffusion models and multi-modal generative AI workloads. Optimize large model training and inference using PyTorch, Triton, TensorRT, and distributed training libraries (DeepSpeed, FSDP, vLLM). Implement and optimize model using sequence parallelism, pipeline parallelism, and tensor parallelism etc to improve performance on high-throughput training clusters. Scale and productionize generative AI models, ensuring efficient deployment on heterogeneous hardware environments (H100, A100, etc.). Develop and integrate model distillation techniques to enhance the efficiency and performance of generative models, reducing computation costs while maintaining quality. Design and maintain an automated model production pipeline for training/inference at scale, integrating distributed data processing frameworks (Ray, Spark, or custom solutions). Enhance platform stability and efficiency by refining model orchestration, checkpointing, and retrieval strategies. Collaborate with cross-functional teams (ML researchers, software engineers, infrastructure engineers) to ensure seamless model iteration cycles and deployments. Stay ahead of emerging trends in deep learning architectures, distributed training techniques, and AI infrastructure optimization, integrating best practices from academia and industry.QualificationsMinimum Qualifications: B.S., M.S., or Ph.D. in Computer Science, Electrical Engineering, or a related field. 3+ years of hands-on experience in large-scale machine learning infrastructure and distributed AI model training. Deep expertise in PyTorch, CUDA optimization, and ML frameworks such as DeepSpeed, FSDP, and vLLM. Proven experience in optimizing diffusion models, sequence parallelism, and large-scale transformer-based architectures. Strong understanding of high-performance computing, low-latency inference, and GPU acceleration techniques. Hands-on experience in scaling AI infrastructure, leveraging Kubernetes, Docker, Ray, and Triton inference servers. Deep understanding of AI model orchestration, scheduling, and optimization across large clusters. Proficiency in profiling and debugging large-scale model training and inference bottlenecks.Preferred Qualifications: Experience deploying multi-modal generative AI models in production. Expertise in compiler-level optimizations, TensorRT, and hardware-aware model tuning. Familiarity with large-scale AI workloads in cloud environments (AWS, GCP, Azure). Strong software engineering background, with a focus on scalability, efficiency, and reliability.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer - Platform, Monetization Generative AI"
+779,2025-03-07,San Francisco,California,TwelveLabs,http://www.twelvelabs.io,The world's most powerful video intelligence platform for enterprises.,"Who We AreAt Twelve Labs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities.Twelve Labs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.About The RoleAs a Software Engineer, Machine Learning at Twelve Labs, you will drive our ML systems + platform engineering efforts in all facets of our e2e ML & engineering workflows. Delivering highly reliable, low latency, high throughput services is the essence of the role. This role is a perfect fit for experienced engineers with some past machine learning experience who want to go deep on unsolved problems in multimodal AI systems, orchestration, operations, and deployment.In This Role, You Will:Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency systemsCraft performant APIs using modern Python toolsBuild the highest impact, not the flashiest, libraries and servicesMentor junior engineers/researchers, and hold a high bar around code quality / engineering best practicesLead by example in interviewing, hiring, and onboarding passionate and empathetic engineersYou May Be A Good Fit If You Have:6+ years of relevant industry experience Designed production services using Python, Postgres, FastAPI, SQLAlchemy, Pydantic (and friends)Demonstrated experience as a technical lead to deliver projects end to end Exposure to machine learning models in production environments (e.g. deployment, serving, lifecycle management, monitoring)Strong Candidates May Also Have Experience:Scaling ML systems and/or data infrastructure to workloads of petabyte+ scaleBuilding Kubernetes-based systems for distributed data/ML workflowsInterview Process Recruiter Phone Screen Initial Technical Assessment Hiring Manager Interview Onsite Technical Interview [In-Person] Final Interview: CultureEven if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at Twelve Labs.We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.Benefits And Perks🤝 An open and inclusive culture and work environment.🧑‍💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology.🦷 Full health, dental, and vision benefits.✈️ Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.🛂 VISA support (such as H1B and OPT transfer for US employees).Compensation Range: $225K - $325K",Mid-Senior level,"Software Engineer, Machine Learning"
+780,2025-03-19,Boston,Massachusetts,Motion Recruitment,http://www.motionrecruitment.com,"Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software, Mobile, Data, Infrastructure, Cybersecurity, Product + UX and Functional.
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+Motion also delivers IT Consulting Solutions through the Motion Consulting Group (MCG) that create true digital transformation for IT projects in Agile Development & Coaching, DevOps & DevSecOps Solutions, and Managed Services for IT Operations.
+ 
+We’re also the proud creators of Tech in Motion and the Timmy Awards, our North American community platform, events series and award program that connects over 250,000 tech enthusiasts to meet, learn, and innovate.","Job Responsibilities:Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables.Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors.Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.Collaborate with client personnel in Software Engineering.Contribute to all aspects of the Software Development Lifecycle (SDLC) from requirement gathering, design, development, testing and overall technical design, development using – Python, Spark, Django, Jenkins, API, CI/CD, DevOps tools, Postgres SQL Database along with other technology and integration tools.Required Skills/Experience:4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.API development, cloud-native architectures, and Generative AI frameworks like LLaMA, Mistral etc.FastAPI, Unicorn, and SwaggerPython, Apache Spark (PySpark), Kubernetes, DjangoApache Kafka for real-time data streaming, and distributed computing frameworks.Experience in optimizing and deploying AI models on GPU clusters, leveraging parallel processing capabilities for large-scale deep learning and generative AI applications.Multi-GPU training and distributed computing frameworks such as TensorFlow Distributed, PyTorch Distributed, and Horovod to accelerate AI/ML workloads.configuring and managing NVIDIA GPU and GCP (TPUs, GPU instances).",Mid-Senior level,Machine Learning Engineer
+781,2025-04-01,Wimbledon,London,Harnham,http://www.harnham.com,"Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com 
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+Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. 
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+Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.
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+Our five core services:
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+* ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a 
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+* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
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+* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
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+* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
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+* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.","Machine Learning Engineer – AI & Cloud OptimizationHybrid – 3 days onsite in NYC$180,000–$220,000 + EquityA fast-growing startup is building next-generation AI-driven cloud solutions, helping businesses optimize and automate their cloud infrastructure. With cloud spending surging and AI reshaping the industry, this company is developing cutting-edge tools to give organizations real-time insights, cost control, and enhanced efficiency. Backed by top-tier investors and trusted by leading tech companies, they are expanding their engineering team to scale their AI-powered platform.The RoleThis is a hands-on role for an experienced AI/ML engineer eager to shape AI-driven cloud automation tools. You’ll work closely with leadership to develop and deploy machine learning models that power cost optimization, predictive analytics, and AI-driven automation.Design, build, and deploy ML models that enhance cloud efficiency and automationOptimize and integrate LLMs to support AI-powered decision-makingBuild AI-driven tools for cloud cost forecasting and infrastructure rightsizingImplement secure, scalable ML pipelines across multi-cloud environments (AWS, GCP, Azure)Collaborate with engineering and product teams to align AI capabilities with business needsStay ahead of emerging AI trends and apply cutting-edge techniquesThe Ideal CandidateProven commercial years of hands-on experience in ML/AI model development and deploymentStrong Python skills, with exposure to Go and SQL being a plusExperience with cloud infrastructure, distributed computing, and model deployment at scaleProficiency in ML frameworks like PyTorch, Hugging Face, LangChain, and vector databasesSecurity-focused approach to AI infrastructure and model deploymentStartup mindset – comfortable with ambiguity and excited to build from 0 to 1Strong communication skills and the ability to convey complex technical conceptsWhy Join?This is an opportunity to be part of a rapidly growing company at the intersection of AI and cloud computing. You'll have a direct impact in shaping an industry-leading platform while working in a dynamic and fast-paced environment. Competitive compensation, equity, and strong growth opportunities make this a compelling role for top-tier ML engineers looking for their next challenge.KeywordsMachine Learning | AI | Cloud Optimization | LLM | Predictive Analytics | Cloud Infrastructure | AWS | GCP | Azure | Cost Optimization | Model Deployment | Python | PyTorch | Hugging Face | LangChain | Vector Databases | Distributed Computing | Security | Automation | Startup | Scalability | AI-driven Decision Making | Financial Modeling | Infrastructure Rightsizing | Hybrid Role | NYC Tech | AI-powered Cloud ManagementHow to ApplyIf you are a motivated AI/ML Engineer who is excited to make a difference in an impactful startup, send your resume to Virginia via the Apply link on this page.",Mid-Senior level,Machine Learning Engineer
+782,2025-03-31,Concord,Massachusetts,ERG,http://www.erg.com,"ERG is a multidisciplinary consulting firm offering a broad range of professional services. From offices across the country, we serve a spectrum of public and private clients, including federal agencies, state governments, corporations, and universities.","ERG is a research and consulting firm that provides a wide range of support to federal, state, and commercial clients. ERG offers multidisciplinary teams with nationally recognized skills in engineering, science, economics, public health, informational technology, and communications. We hire people with the best minds and then provide them with a vibrant and flexible environment in which to develop their careers. The qualified individual must be highly motivated with the skills to prioritize, perform, and communicate effectively in a fast-paced environment. ERG is seeking an experienced Data Scientist to independently develop and lead projects focused on information extraction from documents. This data scientist will be working within the newly established Product Impact group helping ERG build a key database of environmental product declarations and product category rules.Job Description:Lead the development and implementation of data extraction solutions from various document typesDesign, develop, and maintain algorithms and models for information extractionEnsure the integrity and accuracy of extracted dataPrepare technical design documents and specificationsConduct technical reviews of data extraction solutions created by others to ensure compliance with applicable standards, codes, and regulations, as well as end-user requirementsSupport the data extraction process from concept through delivery of the completed solutionCollaborate and communicate effectively with other stakeholders, both internal and external, and the development team (e.g., engineering department, IT department)Qualifications and Skills: A minimum of 3 years of experience in data science is required; 5+ years is preferredAt least three years of experience with information extraction from documentsExperience with machine learning and generative AI models and APIsProficiency in Python and relevant data science librariesExperience with cloud platforms, preferably Google Cloud Platform (GCP)Experience working with lifecycle assessment, greenhouse gas emissions data and/or supply chain platforms is a plusAbility to prioritize, perform, and communicate effectively in a fast-paced environmentERG offers competitive salaries and excellent benefits, including health and dental insurance, life insurance, long-term disability, educational benefits, FSAs, a generous 401k plan, profit sharing, an EAP, 11-20 paid vacation days per year, 10 paid holidays per year, 56 hours or more of sick leave (based on the state you work in) per year (pro-rated for part-time) and more. The salary range for all positions depends on the years and type of experience.   ERG is an equal opportunity employer and complies with all applicable EEOC regulations. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual preference, national origin, disability, or status as a protected veteran.     Please be aware, the only authentic corporate domain for ERG is https://www.erg.com.  ERG may, on occasion, screen applicants via telephone or video interviews via Skype, Teams, GoToMeeting, or another type of video platform. However, any candidate extended a job offer might be asked to meet in person with an ERG employee before providing confidential personal information associated with new employment.   If you’re a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access ERG’s online application process as a result of your disability. To request accommodation, please contact Human Resources via email at Resumes-Lex@erg.com or call (781) 674-7293.   ERG fosters a friendly, flexible work environment. ERGers are dedicated to serving clients who are committed to making the world a better place. We promote and recognize principles of fairness and respect in the work we do, the partnerships we foster, and the culture we value both within and outside of our organization. ",Mid-Senior level,Data Scientist
+783,2025-04-02,Dania Beach,Florida,IntelePeer,https://www.intelepeer.com,"IntelePeer simplifies communications automation through advanced AI-powered solutions, helping businesses and contact centers reduce costs, enrich the customer experience, and accelerate ROI. Driven by generative AI, the company’s Communications Automation Platform works seamlessly within existing business software and infrastructure, enabling brands to automate complex processes quickly and effortlessly. Built for business users, IntelePeer's vendor-neutral platform and low-code solutions leverage world-class AI and analytics, empowering businesses to proactively resolve potential pain points and maintain context across channels and throughout the orchestrated customer journey. Follow us on Twitter (@IntelePeer) for the latest company updates and industry insights.","About IntelePeer.aiIntelePeer Cloud Communications helps customers communicate better, faster and smarter, through its Communications Automation Platform. Our low- and no-code solutions provide customers with simple, easy-to-use tools that can be utilized by anyone. Powering automation through AI and analytics, IntelePeer provides industry-leading time-to-value and rapid time to improved customer experiences with solutions that work seamlessly with existing business software and infrastructure.What We Are Looking ForAs a Senior Machine Learning Engineer with a focus on NLP, you will lead the design, development, and optimization of state-of-the-art transformer-based models. You will play a key role in the full ML lifecycle, including data preprocessing, model building, fine-tuning, transfer learning, evaluation, and deployment. You will also be responsible for ensuring model performance and fairness by addressing biases and ensuring ethical AI practices.Key ResponsibilitiesDesign, implement, and optimize NLP models with a strong focus on transformer-based architectures (e.g., BERT, GPT, T5).Build and fine-tune models for a variety of NLP tasks, such as text classification, sentiment analysis, named entity recognition (NER), machine translation, and question answering.Develop and implement strategies for transfer learning to leverage pre-trained models effectively in various domains.Lead the evaluation of model performance using metrics such as accuracy, precision, recall, and F1 scores, while ensuring robustness and fairness in predictions.Conduct research to detect, mitigate, and manage biases in ML models, ensuring ethical and transparent AI solutions.Optimize model inference and ensure low-latency performance in real-time applications.Mentor junior engineers and provide technical leadership in ML/NLP best practices.Stay current with the latest advancements in NLP, transformer architectures, and ML techniques to drive continuous improvement.RequirementsProven expertise in NLP with at least 5 years of hands-on experience in building and deploying NLP models.Strong knowledge of transformer-based models (e.g., BERT, GPT, RoBERTa, T5, etc.) and experience in fine-tuning pre-trained models.Solid understanding of machine learning fundamentals, including deep learning, neural networks, and transfer learning techniques.Proven experience in evaluating model performance and using advanced metrics to assess bias and fairness in predictions.Experience in using frameworks such as PyTorch, TensorFlow, Hugging Face, or other popular ML libraries.Knowledge of bias detection and mitigation techniques in machine learning models.Experience with cloud-based ML services (e.g., AWS, GCP, Azure) and MLOps pipelines for deploying models at scale.Proficiency in programming languages like Python, as well as experience with data processing tools such as Pandas and Numpy.Strong problem-solving skills, attention to detail, and ability to lead complex ML projects from inception to deployment.Excellent communication skills and the ability to work collaboratively in a fast-paced, dynamic environment.Experience working with large-scale datasets and implementing distributed machine learning systems.Why You'll Love It HereUnlimited Vacation for exempt employeesPaid HolidaysCompetitive medical, dental & vision insurance for employees and their dependents401K Retirement PlanStock OptionsCompany-paid life insuranceHealth & Flexible Savings AccountsCell phone, gym, and internet reimbursementPaid Parental LeaveTuition ReimbursementEmployee Assistance Program (EAP)Free snacks (Denver, and or Fort Lauderdale)Fun events (virtual and in-person)Applicants must be authorized to work for any employer in the U.S.We are unable to sponsor or take over sponsorship of an employment visa at this time.Any requests to exercise your rights as a data subject under GDPR should be submitted to infosec@intelepeer.com for prompt processing. Please refer to our Privacy Policy (at www.intelepeer.com/privacy/intelepeer-privacy-policy) for any questions on how IntelePeer complies with GDPR.For California residents only: Please refer to the link below for IntelePeer’s Applicant CCPA Privacy Notice. https://intelepeer.com/privacy/intelepeer-california-applicant-privacy-notice/IntelePeer participates in E-Verify.",Mid-Senior level,Senior Machine Learning Engineer
+784,2025-04-07,Sydney,NSW,Atlassian,https://atlassian.com/,"Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone.
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+From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. 
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+Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time.
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+With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software.
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+We believe the power of teams has the potential to change the world—one that is more open, authentic, and inclusive.","OverviewWorking at AtlassianAtlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.About Central AI OrgOur organisation is designed to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future. Our purpose is to:Build horizontal AI capabilities and infrastructure which provides leverage across productsBuild a centralised Search, Q&A and Conversational AI across all Atlassian products.Explore integration of Atlassian products with AI products outside Atlassian.About AI & ML Platform TeamOur team is building the foundations to democratise Machine Learning for Atlassian's teams, customers and ecosystem. Our goal is to create tools that are user-friendly and reliable, ensuring that Atlassian teams can easily embrace and utilize them. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences. They will seamlessly integrate with the Atlassian Data Platform, enabling teams to efficiently and rapidly incorporate AI & ML capabilities into their workflows. The focus is on providing a smooth and hassle-free experience for Atlassian users, allowing them to leverage the power of AI & ML without any complications.ResponsibilitiesAs a Senior Engineer on the AI & ML Platform team, you will build and scale the core infrastructure to allow software engineers, ML engineers & data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines. Along with that, you will build systems for product teams like Jira & Confluence to provide access to curated LLMs. You will use your software development expertise to solve difficult problems, tackling infrastructure and architecture challenges.You will have the opportunity to lead engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results.In This Role, You'll Get The Chance ToRegularly tackle complex problems in the team, from technical design to launch.Routinely tackle complex architecture challenges and defines coding standards & patterns for the team.Lead the team through times of ambiguity, help them adapt and and deliver positive impact.Mentor junior members on the team.Our tech stack is primarily Java/Kotlin built on AWS.QualificationsFluency in at least one modern object-oriented programming language (preferably Java/Kotlin).Understanding and experience with Machine Learning project lifecycle and tools.Understanding of LLMs, best deployment practices and inference optimisation.Experience in building and implementing high-performance RESTful micro-services.Experience building and operating large scale distributed systems using Amazon Web Services (Sagemaker, S3, Cloud Formation, AWS Security and Networking).Experience with Continuous Delivery and Continuous Integration.CompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:Zone A: $176,200 - $235,000Zone B: $158,600 - $211,500Zone C: $146,300 - $195,000This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.Our Perks & BenefitsAtlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.About AtlassianAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.To learn more about our culture and hiring process, visit go.atlassian.com/crh .",Mid-Senior level,Machine Learning Systems Engineer
+785,2024-10-31,San Francisco,,Magic,https://magic.dev/,"Magic is working on frontier-scale code models to build a coworker, not just a copilot. Come join us: http://magic.dev","Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.About the role:As a Software Engineer working on our pretraining data, you write efficient and robust pipelines for giant, multimodal datasets. You will develop and optimize web scraping techniques to harvest and maintain data at internet-scale.What you might work on:Design & implement multimodal (video, audio, text etc) web crawlers for scraping and indexing petabytes of dataCreate large scale data processing pipelines using tools like Ray, Apache Spark, Apache Flink, Google BigQuery etc. Implement and scale deduplication techniques across modalities and apply heuristic and model-based techniques for parsing and filtering crawled dataIdentify new data sources for inclusion in pre/post-training datasetsWhat we’re looking for:Strong proficiency in distributed computing and parallel processing techniquesObsession with details, reliability, and good testing to ensure data quality and integrityExperience with designing and maintaining high-performance, scalable data architecturesAbility to design, develop and operate an LLM data pipeline from web scraping to data loadingMagic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience.Our culture:Integrity. Words and actions should be alignedHands-on. At Magic, everyone is building Teamwork. We move as one team, not N individualsFocus. Safely deploy AGI. Everything else is noiseQuality. Magic should feel like magicCompensation, benefits and perks (US):Annual salary range: $100K - $550KEquity is a significant part of total compensation, in addition to salary401(k) plan with 6% salary matchingGenerous health, dental and vision insurance for you and your dependentsUnlimited paid time offVisa sponsorship and relocation stipend to bring you to SF, if possibleA small, fast-paced, highly focused team",Entry level,Software Engineer - Pretraining Data
+786,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $173,000-$259,000 annually.Zone B:The base salary range for this position is $164,000-$246,000 annually.Zone C:The base salary range for this position is $147,000-$220,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 4"
+787,2025-03-11,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.Software Engineer, Systems ML - Wearables AI Responsibilities:Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiencesGoal setting related to project impact, AI system design, and infrastructure/developer efficiencyDirectly or influencing partners to deliver impact through thorough data-driven analysisDrive large efforts across multiple teamsDefine use cases, and develop methodology & benchmarks to evaluate different approachesApply in depth knowledge of how the ML infra interacts with the other systems around itMentor other engineers / research scientists & improve the quality of engineering work in the broader teamMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-designExperience developing AI-System infrastructure or AI algorithms in C/C++ or PythonPreferred Qualifications:A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.Experience with distributed systems or on-device algorithm developmentExperience with recommendation and ranking modelsTechnical leadership experienceAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Systems ML - Wearables AI"
+788,2025-03-22,San Francisco,California,Pinterest,https://www.pinterest.com/,"Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 550+ million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments. ","About PinterestMillions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.What You’ll DoBuild cutting edge technology using the latest advances in deep learning and machine learning to personalize PinterestPartner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areasUse data driven methods and leverage the unique properties of our data to improve candidates retrievalWork in a high-impact environment with quick experimentation and product launchesKeep up with industry trends in recommendation systems Leverage LLMs to enhance content understandingWhat We’re Looking For 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)Degree in computer science, statistics, or related fieldEnd-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systemsNice to have:M.S. or PhD in Machine Learning or related areasPublications at top ML conferencesExpertise in scalable realtime systems that process stream dataPassion for applied ML and the Pinterest productBackground in computational advertisingRelocation Statement:This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.Information regarding the culture at Pinterest and benefits available for this position can be found here.US based applicants only$129,818—$267,272 USDOur Commitment To InclusionPinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.",Mid-Senior level,"Machine Learning Engineer, Monetization Engineering"
+789,2025-04-08,New York,NY,Shields Group Search,https://www.shieldsgroupsearch.com/,"Shields Group Search specializes in serving early stage VC and PE backed companies. We offer recruitment and hiring solutions that are industry-agnostic with a particular emphasis on commercial and operational roles. Leveraging tech enabled sourcing and an unwavering commitment to selectivity, our firm identifies and recruits the best candidates to meet your business needs. 
+
+Backed by a team of seasoned professionals, we ensure confidentiality, quality, and efficiency, in every search, providing our clients with a distinctive competitive edge. At Shields Group Search, we don't just fill roles; we build partnerships. 
+
+Official Recruitment Partner of LvlUp & NextUp Ventures: https://www.lvlup.vc/
+
+General Inquiries: contact@shieldsgroupsearch.com
+Recruitment Services: thomas@shieldsgroupsearch.com","💥 AI/ML Founding Engineer | First Engineering Hire | VC-Backed StartupWe’re working with a venture-backed seed-stage startup on a mission to bring cutting-edge AI to one of the most complex, overlooked industries in the economy: commercial insurance. They’ve just raised fresh funding and are tackling dense, technical workflows using LLMs, NLP, and automation.They’re hiring their first engineer—someone who wants to build the AI core of the company from scratch, work directly with the founding team, and shape both the product and culture from day one.💻 What You’ll Work OnBuild and fine-tune NLP systems to extract structured data from jargon-heavy documentsLead development and optimization of large language models tailored to complex insurance workflowsArchitect human-in-the-loop training pipelines that leverage user feedback for continual model improvementApply computer vision to parse data from PDFs, scanned docs, and other unstructured formatsBuild intelligent agents to automate interactions with complex web interfaces using tools like Playwright or SeleniumDesign robust evaluation pipelines and benchmarking frameworksHelp architect scalable infrastructure for training, inference, and feedback collectionCollaborate cross-functionally with the founding team and early users to shape both what gets built—and how🌟 Who You AreComfortable with ambiguity and energized by building things that don’t exist yetA clear communicator who can break down complex technical decisions to both engineers and non-technical stakeholdersWilling to challenge ideas, but quick to commit and align once a direction is setSelf-aware, curious, and grounded—you know your strengths and your gapsA natural leader who takes ownership and leads by example✅ Ideal Candidate ProfileNLP & LLM Expertise:Hands-on experience fine-tuning LLMs (OpenAI, Hugging Face, etc.)Strong grasp of transformer architectures, embeddings, and retrieval-augmented generation (RAG)Real-World AI Experience:Proven ability to ship ML systems into production under real-world constraintsProduct-minded with an eye for speed, iteration, and user feedbackFeedback Loop & Training Architecture:Experience designing human-in-the-loop systems or user-driven model improvementRPA:Familiarity with browser automation tools (Playwright, Selenium) is a strong plusEngineering Foundation:4+ years of experience in backend, data, or infrastructure rolesPython expertise; JS/React/Node knowledge helpfulStartup Mindset:Fast-moving, adaptable, and comfortable working with imperfect information🧠 Tech Stack Python | Node.js | React | MongoDB | Playwright | Selenium | AWS📍 Location Fully remote, with preference for candidates in or open to travel to Denver, CO for occasional planning sessions or team off-sites.💰Compensation + PerksCompetitive salary + founder-level equityUnlimited PTO100% covered health, dental, and vision insuranceRemote flexibility with in-person collaboration as neededOpportunity to help define the foundation of a company—tech, product, and culture",Mid-Senior level,Machine Learning Engineer
+790,2025-04-09,Seattle,WA,Prodeen,www.prodeen.com,"We’re building Prodeen—a platform that lets anyone create, launch, and scale new consumer products without battling spreadsheets, outdated tools, or siloed teams.
+
+We’re a small crew of repeat founders, data buffs, regulatory experts, and CPG insiders who’ve seen firsthand how slow and painful product development can be. So we’re fixing it.
+
+Prodeen connects the dots across R&D, compliance, quality, and marketing—so your teams can move faster, stay aligned, and bring safer, better products to market with less stress. All in plain English.","Prodeen's mission is to be the go-to technology for product development and compliance within the Consumer Packaged Goods (CPG) industry. When you think about search, you think Google. AI chat, GPT. Figma for design. That’s the level of recognition we aim for when users come to develop and manage a CPG product. We’re moving beyond the hype of AI with a focus on developing intelligent workflows powered by agents that tackle specific tasks across the product lifecycle. Continuous learning from our clients, partners, and colleagues is core to our approach, allowing us to create exceptional software and deliver outstanding service. If this resonates with you, we encourage you to reach out.Data ScientistThe Data Scientist will take full ownership of the data pipeline and play a key role in strategic decision-making. The data infrastructure will directly impact our software and workflows, shaping them significantly. The data itself will be sourced from LLMs, our industry-specific data bank, and proprietary client data. What You Will BringOur team has founded companies, built software from scratch, and grown business lines from infancy to market leading positions. We are looking for someone with a proactive, ownership mentality to become a core contributor to what we are doing. Desire to work on something completely new with past experience in individual ownership of projects or businesses4+ years of experienceExpert in SQL, PythonRobust understanding of statistical and machine learning methodsProduction experience of running ML models including orchestrating/managing training process of custom models as well as continued evaluation of deployed modelsExperience with training of complex, unstructured documentsKnowledge of the CPG industry (food, beverage, cosmetics, personal care) and added bonusWhat We OfferAbility to shape the role in a way that maximizes your potentialFlexible work environment in a remote role - you know when and how to be the most productiveCompetitive salary and role trajectory that grows as we do - you have the opportunity to get in on the ground floorEquity - we have an employee stock option plan to attract those who seek more than just a salary alone",,Data Scientist
+791,2025-04-07,Tampa,Florida,"Iron EagleX, Inc.",http://www.ironeaglex.com,"Iron EagleX is an agile customer focused team. We are passionate people solving tough problems and bringing modern technology solutions and practices to our Government customers. We deliver engineering solutions in cloud computing, big data, cyber, and machine learning technologies to modernize and migrate systems to the cloud. We take on and fill advanced operational and mission support gaps and can adjust to requirements while sustaining excellence in execution and performance.
+
+We seek out like-minded people to join our thriving team. If you are a creative hard charger, who likes working on challenging problems in a fast-paced mission critical environment, and who is up for multiple challenges and opportunities without drama and obstacles to do your job, please reach out to us. We are interested in discussing how you can join our team. ","OverviewIron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.ResponsibilitiesJob Description:The Data Scientist will formulate and lead guided, multifaceted analytic studies against large volumes of data. Develop AI/ML models to enrich data providing further utility to the analysts. Conducts complex data assessments to determine operational utility of proposed data sets in answering priority intelligence requirements. Develop and maintain data pipelines to ingest applicable data into AI/ML engines and tools. Discovers links and connections in disparate datasets providing context to intelligence analysts.Responsibilities:Job Duties Include (but not limited to):  Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.Coordinate with Data Engineers to build Data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel AnalystsCoordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.Develop and deploy AI/ML models to enrich SOCOM data holding in support of priority intelligence requirements.Create advanced analytic models leverage multi-modal datasets to answer complex intelligence Lead all data experiments tasked by the IDSTQualificationsRequired Skills & Experience: Python, R, Natural Language Processing (NLP), AI/ML OpsCan write in modern coding languages; Python & JavaScript required; Experience with Flask and React preferred.Can read and understand other coding languages; HTML/CSS, R, Java, C, C++, C#Create respective process documentation using a web-based version control Experience with Gitlab and Jira Provide written and verbal communication and respective business process Work independently and on teams and have excellent time management and work prioritization skills.Execute complex projects within government defined timelines across a geographically dispersed workforce and user base.Demonstrated experience applying data science methods to real-world data problems.Demonstrated experience developing and deploying AI/ML in support of decision making.Desired Skills SQL, NoSQL, SQL Alchemy, Flask, Streamlit, Dash, React, JavaScript, HTML/CSS, Spark, Application Programming Interfaces, Continuous Integration / Continuous Development (CI/CD)Education & Certifications: Master’s degree or Bachelor’s degree in Data Science, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.Security Clearance: Active Top Secret with Active SCI EligibilityBenefits: National health, vision, and dental plans20 days of PTO and 11 paid holidaysLife InsuranceShort- and long-term disability plans401(K) retirement planIncentive and recognition programsRelocation opportunitiesEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans",Entry level,Data Scientist
+792,2025-03-27,Wimbledon,London,Harnham,http://www.harnham.com,"Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com 
+
+Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. 
+
+Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.
+
+Our five core services:
+
+* ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a 
+
+* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
+
+* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
+
+* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
+
+* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.","Machine Learning EngineerAdTech Remote (United States)$175,000 - $200,000 USD/yr + bonusHarnham is partnering with an ad technology firm that provides services to help advertisers to optimize their ad campaigns. Their tools are used to help maximize engagement and conversion of ads. This firm is looking for a Machine Learning Engineer to join their Data Science team. This role is critical for developing and implementing advanced machine learning models that operate at scale in a high-performance, data-driven environment.If you thrive in complex, data-driven settings and are eager to contribute to the development of innovative machine-learning solutions that solve real-world business challenges. This role could be for you.THE ROLEThe Machine Learning Engineer will work closely with cross-functional teams of data scientists, engineers, and business stakeholders to deliver ML solutions that address complex, high-impact challenges. This position requires expertise in deploying models, using AWS, GCP, or Azure. This role requires experience with for high-throughput and low-latency settings.RESPONSIBILITIESCollaborate on designing and implementing machine learning models to tackle complex business needs in areas like recommendation systems, predictive analytics, and natural language processing.Deploy models into cloud environments (AWS, GCP, Azure) and manage the pipeline using Docker and Kubernetes.Ensure models are production-ready, scalable, and reliable, working alongside engineering teams to maintain performance standards.Monitor model efficacy in live environments, troubleshooting and optimizing as needed.Contribute to ongoing research efforts and stay abreast of advancements in machine learning to continuously improve capabilities.YOUR SKILLS AND EXPERIENCEProven years of experience in machine learning engineering, with proficiency in PythonA background in Software Engineering with an understanding of GoProven expertise in end-to-end model development, including inception, deployment, and automated retraining of advanced models (e.g., Contextual Bandits, Deep Neural Networks).Advanced degree (Master’s or Ph.D.) in Statistics, Computer Science, or a related field is preferred.Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and machine learning tools (Databricks, MLFlow, Kubeflow, Airflow)Ability to work in a fast-paced environment alongside like-minded individualsStrong analytical and problem-solving skills, with the ability to communicate complex concepts to non-technical stakeholders.HOW TO APPLYFor those with a strong background in machine learning who are looking to make a significant impact within a fast-paced, collaborative environment, we encourage you to reach out for more details.Please register your interest by sending your resume to Virginia via the Apply link on this page.KEYWORDSMachine Learning | Model Deployment | Recommendation | NLP | Contextual Bandit | Deep Neural Networks | Python | SQL | AWS | GCP | Azure | Docker | Kubernetes | MLflow | Kubeflow | TensorFlow | Pytorch",Mid-Senior level,Machine Learning Engineer
+793,2025-03-25,San Francisco,,Sauron,https://www.sauron.systems/,"Meet your home operating system.
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+Home security should reinforce your peace of mind. You deserve a sanctuary, one that gives you the freedom to live your life with the people that matter most. That’s why we created something entirely new.
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+Sauron is an autonomous platform for the perimeter of your home. It works discreetly in the background to reliably identify potential threats in all environmental conditions and it instantly recognizes who’s part of your inner circle.
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+We provide a bespoke white-glove service, ensuring that each client’s security platform is installed with precision and care, swiftly and without disrupting the comfort or aesthetics of their home.
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+To complement the technology, Sauron leverages its Intelligent Response and Intrusion Suppression (IRIS) Command Center, staffed 24/7 by exceptionally trained agents with diverse backgrounds in law enforcement, military service, executive protection, and other critical security fields. The team builds relationships with local police departments to ensure a rapid police response to verified security incidents.","Who We AreSauron protects your family and home, bringing the innovations of autonomous robots and self-driving cars to residential security. Our team is led by veteran entrepreneurs and roboticists, alumni of Zipline, Tesla, Apple, and Google. Sauron has raised an $22M seed round led by A* and Atomic with participation from other leading venture capital firms and angel investors, including 8VC and Flock Safety CEO Garret Langley.The Role | Machine Learning Engineer, Scene UnderstandingThe ideal candidate is well-versed in state-of-the-art deep learning for 3D perception and scene understanding, including the use of large multi-modal models. You’re experienced in software development and excited about building in a 0 to 1 environment.We ValueCollaboration, pair programming, and teamwork.Making small improvements and shipping code to production continuously.Taking ownership across the stack.Test-driven development, and refactoring regularly to keep our codebases healthy.You Will Contribute ByApplying state-of-the-art ML research in 3D scene understanding to a home security and intelligence product.Applying large multi-modal models to the security domain and adapting them for real-time performance.Developing new ML models and algorithms that advance the state of the art.Leading the development cycle to turn prototypes into production-grade ML solutions, including data sourcing and annotation, training, evaluation, and deployment.Developing high-quality codebases and data pipelines to deploy new ML solutions at scale in a collaborative and test-driven approach.Interacting with a small, multidisciplinary team of ML engineers, software engineers, hardware engineers.Your Background IncludesMaster’s degree in Computer Science, Engineering, Mathematics, or a related field OR 3-5 years of related work experience.Academic and/or research experience in 3D scene understanding, including semantic segmentation, depth estimation, point cloud processing, perception, mapping, and/or 3D reconstruction.Familiarity with cutting-edge large multi-modal models and sufficient depth to advance the state of the art in service of the product.Demonstrated ability to write efficient and reliable software in Python following best practices in software design, testing, review, and documentation.Strong proficiency in writing domain-specific code in Python ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and data analysis libraries (e.g., NumPy, Pandas, Matplotlib).Strong technical communication skills and the ability to collaborate effectively on complex software systems in a team setting.A growth mindset, a willingness to take ownership of your work, and an ability to adapt to the challenges of a fast-paced startup environment.Compensation Range: $180K - $231K",Entry level,"Machine Learning Engineer, Scene Understanding"
+794,2025-04-09,San Francisco,California,Salesforce,http://www.salesforce.com,"👋 We're Salesforce, the customer company.  CRM + Data + AI + Trust. 
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+Privacy Statement: http://www.salesforce.com/company/privacy/","To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.At Slack, Your Impact Can Be HugeWe have over 10 million daily active users relying on our product.At peak usage, a million messages a minute pass through Slack.During the week, our users spend over a billion minutes a day active in our product.Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don’t expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack’s unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.What You Will Be DoingDevelop ML models supporting ranking, retrieval, and generative AI use-cases.Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.Support in the development of sustainable data collection pipelines and management of ML features.Assist our skilled support team and operations team in triaging and resolving production issues.Mentor other engineers and deeply review code.Improve engineering standards, tooling, and processes.What You Should Have7+ years of applicable engineering experience.Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learnExperience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.Worked on generative AI apps with Large Language Models and possibly fine tuned themAn analytical and data driven mindset, and know how to measure success with complicated ML/AI products.Put machine learning models or other data-derived artifacts into production at scale.Experience leading technical architecture discussions and helped drive technical decisions within the team.The ability to write understandable, testable code with an eye towards maintainability.Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.Nice To HaveExpertise in retrieval systems and search algorithms.Familiarity with vector databases and embeddings.Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.Broad experience across NLP, ML, and Generative AI capabilities.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $200,800 to $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600.For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.",Not Applicable,"Software Engineer, Machine Learning (Multiple Levels) - Slack"
+795,2025-04-08,Los Angeles,California,The Wonderful Company,http://www.wonderful.com,"Headquartered in Los Angeles, The Wonderful Company is a privately held $6 billion company dedicated to harvesting health around the world through its iconic consumer brands. The company’s 10,000 employees worldwide are committed to bringing consumers everywhere the freshest, most wholesome pistachios, citrus and pomegranates; bottling the finest water and wines; and creating colorful bouquets that are sure to touch the heart. This commitment is reflected in the company’s market share: Wonderful Pistachios® is America’s No. 1 tree nut and America’s fastest-growing snack; Wonderful® Halos® is the No. 1 mandarin orange in America; POM Wonderful® is the No. 1 100% pomegranate brand in America; FIJI® Water is America’s No. 1 premium imported bottled water brand; JUSTIN® Wine has the No. 1 Cabernet Sauvignon in California; and Teleflora® is the world’s leading floral delivery service. 
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+The Wonderful Company’s connection to consumers has health at its heart and giving back at its core. The company has a long-standing commitment to corporate social responsibility, including more than $1 billion invested in environmental sustainability; $65 million in charitable giving, education initiatives, and innovative health and wellness programs each year; and $143 million toward the construction of two charter school campuses in California’s Central Valley.
+
+To learn more about The Wonderful Company, its products and its core values, visit www.wonderful.com, or follow us on Facebook, Twitter, and Instagram. To view its Corporate Social Responsibility website, visit www.csr.wonderful.com.","Company DescriptionThe Wonderful Company is committed to offering high-quality, healthy, and iconic brands such as Wonderful Pistachios, Wonderful Halos, FIJI Water, and POM Wonderful. We’re looking to make the world a healthier place through an uncompromising commitment to the well-being of our employees and their families. We foster a collaborative workforce that encourages an entrepreneurial spirit and openness to change.Our Global Sourcing Analytics team is expanding with a new Junior Data Scientist position! Collaborating closely with our Senior Data Scientist, this role will be vital in our team’s efforts to identify project opportunities, operationalize & continuously improve our analytical processes, and increase the collective impact of Wonderful’s procurement teams.This role is a great opportunity for someone:With foundational experience in data science and eager to learn by doing, working alongside the Senior Data Scientist and Analytics team Passionate about the full scope and lifecycle of real-world, operationalized data science work (not just EDA and modeling) Eager to work on the “big picture” by helping define strategic priorities, identify problems / enhancements, and craft processes Comfortable navigating ambiguity while working on impactful projects from design to planning to execution To succeed, you will need robust analytical capabilities, strong problem-solving skills, excellent communication skills, and a collaborative mindset. To thrive, you must be creative and curious, with an unwavering appetite to learn, improve, and make an impact. We work a hybrid schedule with an in-office requirement Monday-Wednesday and the option to work remotely on Thursday and Friday. Our office is located at 11444 W. Olympic Blvd., Los Angeles, CA 90064.Job DescriptionAnalyze spend data to identify trends and opportunities across all The Wonderful Company's business units Plan and execute analytical projects while managing multiple ongoing and ad hoc initiatives Lead data-related problem-solving efforts and prioritize / drive efforts to clean, validate, and prepare data for analysis and modeling Identify opportunities for improvement and support continuous refinement of our machine learning classification workflow Design, build, and maintain dashboards and reports to support ongoing opportunity identification and spend category management Develop and implement KPIs and other metrics for monitoring supplier performance, identifying project opportunities, and ensuring contract compliance Collaborate with cross-functional teams, fostering communication and building strong relationships Develop a strong understanding of available data sources and how to manipulate and integrate them to generate valuable insights Identify opportunities to improve underlying data quality in collaboration with IT and business unit teams Synthesize findings and share compelling opportunities with business unit teams Become familiar with capabilities and best practices for Oracle Cloud Infrastructure, including Oracle Data Science and Oracle Autonomous Data Warehouse QualificationsBA/BS in an analytical field (e.g., Statistics, Data Science, Mathematics, Economics) Minimum 1-2 years of experience in data science role (preferred) or other analytical business functionExperience within the food and beverage or consumer-packaged goods industry a plus Comfort using Python or R languages to work on data science tasks on large datasets Experience with text analysis, textual data, and/or language models a plus Basic knowledge of data visualization tools (e.g., Power BI, Tableau) Strong organizational skills and exceptional attention to detail Ability to manage multiple projects and competing priorities Well-developed critical thinking abilities Comfort navigating uncertainty and solving problems by identifying creative solutions and acquiring new skills Desire to learn about the company and build relationships across the enterprise Familiarity with DAX, Power Query, and/or SQL a plus Proficiency with Microsoft Office (especially Excel and PowerPoint) Pay Range: $70,000 - $77,000 and may include a discretionary bonus. Final compensation will be dependent upon skills & experience.Additional InformationThriving Wellness Community: Access to top-notch medical coverage comprehensive vision and dental plans, and a 401k with match eligibility to secure your financial future and including:24/7 online physician consultations virtual mental health resources life coaching engaging employee community groups cash rewards for healthy habits and fitness reimbursements library of on-demand fitness videos Career Advancement Opportunities: Unlock your potential with clear paths for career progression and internal mobility across our diverse family of brands and business units. Focused Learning and Development: Grow as a leader with our dedicated Learning and Organizational Development department, offering extensive resources like People Manager and leadership training, webinars, and eLearning courses. Empowering Mentorship Program: Connect with colleagues through our company-wide mentorship program to share goals, overcome challenges, and drive your career forward. Continuous Improvement Training: Participate in training that empowers all employees to learn and implement concepts that drive significant, positive change in the workplace. Building a Healthy Society: We focus on improving the social determinants of a healthy society-quality education and medical care, economic mobility, and a healthy environment-to help build thriving communities. Wonderful CSRGiving Back to the Community: Make a difference with Wonderful Giving, allowing you to allocate company-provided funds to up to three charities of your choice, and join Wonderful Neighbor to contribute to group service projects within our local communities. Headquartered in Los Angeles, The Wonderful Company is a privately held $6 billion company dedicated to harvesting health around the world through its iconic consumer brands. The company’s 10,000 employees worldwide are committed to bringing consumers everywhere the freshest, most wholesome pistachios, citrus and pomegranates; bottling the finest water and wines; and creating colorful bouquets that are sure to touch the heart. This commitment is reflected in the company’s market share: Wonderful Pistachios® is America’s No. 1 tree nut and America’s fastest-growing snack; Wonderful® Halos® is the No. 1 mandarin orange in America; POM Wonderful® is the No. 1 100% pomegranate brand in America; FIJI® Water is America’s No. 1 premium imported bottled water brand; JUSTIN® Wine has the No. 1 Cabernet Sauvignon in California; and Teleflora® is the world’s leading floral delivery service.The Wonderful Company’s connection to consumers has health at its heart and giving back at its core. The company has a long-standing commitment to corporate social responsibility, including more than $1 billion invested in environmental sustainability; $65 million in charitable giving, education initiatives, and innovative health and wellness programs each year; and $143 million toward the construction of two charter school campuses in California’s Central Valley. To view the current Corporate Social Responsibility report, visit www.wonderful.com/csr.To learn more about The Wonderful Company, its products and its core values, visit www.wonderful.com, or follow us on Facebook, Twitter and Instagram.The Wonderful Company is an Equality Opportunity Employer that provides opportunities for advancement. We are committed to creating a diverse workforce that embodies a deep culture of acceptance, equity, and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories.EEO is the law - click here for more information",Associate,"Junior Data Scientist, Global Sourcing"
+796,2024-06-26,Cambridge,Massachusetts,ISEE,https://www.isee.ai,"ISEE is an autonomous driving technology company, spun out of MIT, whose humanistic, AI-powered, self-driving yard trucks are modernizing the global supply chain for the world’s leading companies. ISEE autonomous yard trucks are helping customers like Maersk, Lazerspot, and Fortune 100 retail companies automate their logistics hubs and achieve even greater yard safety, cost savings, consistent driving performance, and reliable driving capacity. With proprietary technology that anticipates unexpected behavior better than any other solution on the market, ISEE is poised to become a leader in the $100B global autonomous yard truck market.","ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has several years of work experience.Role responsibilities include: Working on the intersection of sensing and perception algorithms Prototyping and deploying robust computer vision algorithms on ISEE’s vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition Benchmarking and maintaining developed modules Work independently to deliver high-quality code in a timely fashion Collaborate with team for testing, evaluation and review of codeRequired Qualifications Degree in Computer Science, Electrical Engineering, Robotics or related field Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data Strong Python and/or C++ skills Passionate about self-driving vehicles and real-world robotic solutions Strong presentation and communication skillsPreferred Publication record in top-tier computer vision or machine learning conferences 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios Robotics/autonomous experience is a plus",Not Applicable,Machine Learning Engineer
+797,2025-04-01,Arlington,Virginia,Govini,http://www.govini.com,"Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.
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+Govini has offices in Arlington, Virginia and Pittsburgh, Pennsylvania.","Company DescriptionGovini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.Job DescriptionWe are seeking a Machine Learning Engineer to join our team to build cutting-edge machine learning technologies that will replace complex, time-consuming, manual processes with automation and intelligence that will help Govini end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop solutions from data collection to large-scale data manipulation to long-term data storage and low-latency retrieval, reporting, and analytical systems to solve big data problems that drive business performance.In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy.This role is a full-time position located out of our office in Pittsburgh, PA.This role may require up to 10% travelScope Of ResponsibilitiesActively create, architect, and deliver state-of-the-art machine learning solutions designed to add intelligence to our data analysis and software-as-a-service platformEstablish meaningful criteria for evaluating algorithm performance and suitabilityDevelop clear software specifications for implementing trained modelsImplement working, scalable, production-ready Machine Learning and AI Process Automation models and codeOptimize processes for maximum speed, performance, and accuracyParticipate in the end-to-end software development of new feature functionality and design capabilitiesCraft clean, testable, and maintainable codeKeep up to date with Machine Learning best practices and evolving open-source frameworksRegularly seek out innovation and continuous improvement, finding efficiency in all assigned tasksCollaborate closely with fellow software engineers, data scientists, data engineers, and QA engineersQualificationsUS Citizenship is requiredRequired SkillsBachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related fieldMinimum 3 years experience in hands-on development of machine learning modelsPractical experience in building, developing, and productionizing machine learning systemsAdvanced software skills in PythonExperience with common NLP algorithms and implementationsHands-on experience with AWS and cloud infrastructureA strong desire to learn and investigate new technologiesFamiliarity with Git source control managementPrior hands-on experience working with data-driven analyticsAbility to work collaboratively with little supervisionA burning desire to work in a challenging fast-paced tech environmentDesired SkillsCurrent possession of a U.S. security clearance, or the ability to obtain one with our sponsorshipExperience in or exposure to the nuances of a startup or other entrepreneurial environmentTrack record of implementing data-driven products Experience in or exposure to the nuances of a startup or other entrepreneurial environmentExperience in deploying ML models in Kubernetes environments2 years of experience developing and deploying modern NLP modelsWe firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.",Entry level,Machine Learning Engineer
+798,2025-03-22,San Jose,CA,Cisco,http://www.cisco.com,"Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience.  With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. ","The application window is expected to close on April 15, 2025Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received.Meet the TeamThe AI Software & Platform Team delivers AI products, so businesses around the world defend against threats and safeguard the most important aspects of business with security resilience. We are passionate about making businesses secure and simplifying security with zero compromise.Your ImpactAs a Senior Machine Learning Engineer , you will develop and deploy ML models , work on transformer-based architectures , and contribute to end-to-end AI solutions . You will collaborate with engineers, researchers, and customers , helping to build and scale AI applications that address real-world industry challenge Build and optimize ML models for diverse applications  Develop and maintain ML infrastructure, pipelines, and deployment systems  Work across modeling, ML infra, and system development to deliver AI-driven solutions  Engage with customers and internal teams to refine AI models based on real-world feedback  Collaborate with cross-functional teams to ensure AI solutions are scalable and production-ready  Solve complex ML and AI system design challenges Minimum Qualifications Bachelors degree with 5+ years (or) Masters degree with 3+ years (or) PhD degree with 1+ year of software development industry experience  2+ years of industry experience in machine learning to include building, fine tuning and deploying machine learning models into production  Experience in Python or Go and ML frameworks ( PyTorch , TensorFlow) Preferred Qualificatio Ns Strong understanding of ML Fundamentals, classic ML algorithms, modern transfo rmer-ba sed mo dels and deep learning architectures  Knowledge of LangChain , LlamaIndex , and Hugging Face models  Background in AI security, risk detection, or fraud detection (a plus, but not required )  Research experience or contributions to open-source ML projects  Self-starter with a strong problem-solving skills and ability to work independently #WeAreCisco#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Ourtechnology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.We understand our outstanding opportunity to bring communities together and at the heart of that is our people . One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer- 80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us !",Not Applicable,Senior Machine Learning Engineer
+799,2025-03-23,South San Francisco,California,Stripe,https://stripe.com,"Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.","Who we areAbout StripeStripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.What you’ll doAbout The InternshipStripe's Applied ML organization is excited to offer PhD machine learning engineering internships for the summer of 2025. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.ResponsibilitiesDevelop and deploy large-scale machine learning systems that drive significant business value across various domains.Engage in the end-to-end process of designing, training, improving, and launching machine learning models.Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.Who you areMinimum RequirementsA deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2025 or spring/summer 2026.Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn.Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders.A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently.Preferred QualificationsYou Might Also Have:Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning.Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects.Familiarity with navigating new codebases and managing work across different programming languages.Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences.Application requirementsPlease Submit The Following With Your ApplicationA detailed resume or LinkedIn profile showcasing your work history.Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios.Join us for an unforgettable summer internship and help shape the future of global commerce. At Stripe, you won't just be working on theoretical projects; you'll make a tangible impact on the world's economic infrastructure.Hybrid work at StripeOffice-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.Pay and benefitsThe annual US base salary range for this role is $123,500 - $161,525. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.",Internship,"PhD Machine Learning Engineer, Intern"
+800,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The Lead Ads team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering lead ads on TikTok. Our mission is to push the boundaries of large-scale ads delivery systems and lead the innovations of TikTok's personalized online advertising. Hence, you'll have a chance to get deeply involved in our large-scale distributed systems and state-of-the-art machine learning algorithms. As a Machine Learning Engineer on the Lead Ads team, you will make efforts to develop novel machine learning solutions for ranking, build scalable foundations and launch various products that maximize the efficiency of lead ads delivery.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.SkillsInternships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 . Successful candidates must be able to commit to one of the following summer internship start dates below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23Please state your availability clearly in your resume (Start date, End date).Key Responsibilities Work on the development of a large-scale online ads delivery system and improve its accuracy. Explore multi-stage ranking models, conduct data analysis, develop feature engineering. Participate in the innovations of online ads systems using machine learning models, ranking algorithms, etc. Partner with product managers, data scientists and product strategy & operation team to launch new Lead Ads products and features.QualificationsMinimum Qualifications: Pursuing a BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. Experience with applying machine learning methods for ranking. Software development experience and strong coding skills, especially in Python/C++. Experience with Tensorflow/PyTorch/MXNet is a plus. Experience with recommender system projects. Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics. Curiosity toward new technologies and entrepreneurship.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $45- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (Lead Ads) - 2025 Summer (BS/MS)
+801,2025-04-08,McLean,Virginia,Dezign Concepts,http://www.dezign-concepts.com,"As an agile company with larger than life potential and a wide range of technical skills, Dezign Concepts maintains pinpoint precision while prioritizing customer and employee satisfaction. We take the initiative to stay on top of ever changing advances in the technology driven industry and uphold security clearance requirements.
+
+Our industry separation is defined by our personalized, flexible service and more robust communication. From planning to the final steps of execution, nothing will slip through the cracks. As a result, our clients experience instant cost savings for budget reallocation and the reduction of their dependency on government workers and training.
+
+","20250408-2412-01Active Top Secret Clearance with Poly RequiredJob Summary(Salary is commensurate with education and experience)The office conducts high profile and short fuse data science and targeting requirements on a priority mission. The sponsor requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The Sponsor requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines.Please Note:This job requires an existing Top Secret Clearance and Polygraph.Responsibilities and DutiesThe Team shall work closely with other teams, including data science and programming teams within the Sponsor’s broader mission component. The Sponsor project manager will manage the priorities, with The Team working to implement those prioritiesThe Team shall take the Sponsor’s mission needs and convert those into technical milestones consistent with the Sponsor’s data science requirementsThe Team shall develop and manage data processing ETL pipelinesThe Team shall provide ad hoc trainings to Sponsor’s data users on custom tools and data exploitation consist stent with established use casesThe Team shall use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approachesThe Team shall identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflowsThe Team shall identify existing or emerging data science workflows within the Sponsor’s broader office that would accelerate the Sponsor’s data science missionThe Team shall leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor’s technical goals for data managementThe Team shall anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor’s directionExperience Needed:Citizenship: Must Be a US CitizenExisting Clearance Required: Active Top Secret SCI with PolyDemonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similarDemonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflowsDemonstrated experience leveraging unsupervised machine learning models to answer complex customer queriesDemonstrated experience with a range of Python packages and graph databasesDemonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivityDemonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languagesOptional SkillsDemonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to productionDemonstrated experience leading complex data science teamsDemonstrated experience with machine learning solutionsDemonstrated experience working with foreign and domestic partners of the SponsorDemonstrated experience writing custom algorithms for data exploitationDemonstrated experience with complex graph database queriesDemonstrated experience working in high operational tempo environmentsBenefitsOur comprehensive benefits package includes Medical, Dental, Vision, Health Savings Account, Paid Time Off, Holidays, Social Events, Employee Assistance Program, Team Building Activities, 401K, Tuition Assistance, and more.Contact Us: Main Number: 1-888-663-2690 | info@Dezign-Concepts.com | www.dezign-concepts.comDezign Concepts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Powered by JazzHRQULKPBGGpd",Mid-Senior level,Data Scientist
+802,2025-03-06,Dublin,California,Articul8 AI,https://www.articul8.ai,"Articul8 AI is a technology company whose products transform enterprise data and expertise into powerful engines of growth, value and impact. Our full-stack GenAI platform is revolutionizing how enterprises harness their data and expertise to build expert-level Generative AI applications for their mission-critical challenges. Our products deliver enterprise-scale impact with ROI in hours to weeks. General-purpose GenAI models, while necessary, are not sufficient to deliver enterprise-specific decisioning and actioning. Our platform addresses this gap by making it straightforward for companies to build sophisticated, enterprise-scale and expert-level GenAI applications that encode their domain expertise. Our proprietary technology does the heavy lifting through autonomous decisions and actions, automated data intelligence, improved precision and relevance with industry knowledge encoded into Articul8's library of domain and task-specific models. We are purpose-built for regulated industries and meet the highest standards of compliance, data security, privacy and performance, including traceability and auditability at every step. We are trusted by leading global enterprises like AIAA, Itochu Techno-Solutions Corporation, Uptycs, AWS, NIQ, Intel and Franklin Templeton to transform their mission-critical work.
+
+We are the enterprise GenAI platform that simply works! For more information, please visit www.articul8.ai.","About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.Job Description:We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data generation and data analysis. You will own all work related to acquiring high-quality data to power the training of our domain-specific models end to end. You will work closely with other researchers and engineers to empower our next generation of domain-specific models. We value rapid prototyping, iterating, and shipping new systems quickly.Required Qualifications:BS/MS/PhD in Computer Science or a related field. Proficiency in at least one deep learning framework, such as PyTorch. Experience in machine learning projects in text or vision, e.g., has trained machine learning models to tackle a specific problem. Strong expertise in large stateful distributed systems and data processing. Strong proficiency in building large-scale data processing pipelines, familiar with distributed workload (e.g., multiprocessing, Ray, Docker, Kubernetes). Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code. Excellent problem-solving skills and attention to detail, especially when handling data anomalies and biases to further improve data quality. Key CompetenciesActive Github contributions are a big plus. Experience in building large-scale datasets. Familiar with at least one of the following tools for data crawling (e.g. Scrapy), data collection (e.g., VPNs, Selenium), data processing (e.g., Hadoop, Datasketch). Building bespoke data processing libraries from scratch. Keeping up with state-of-the-art techniques for preparing AI training data. Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources. Multilingual which contributes to enriching the language diversity crucial for robust model training. Responsibilities:Design and develop data processing pipelines, including data extraction, data filtering, data labeling, etc. Implement machine learning models to improve the quality and diversity of data (especially in the data extraction stage), e.g., quality classifier, document layout model, code verification model, etc. Own and lead engineering projects in the area of data acquisition, including web crawling, data ingestion, and processing. Collaborate with our Applied Research, Technology, and Architecture teams to ensure smooth data flow and system operability. Develop and deploy highly scalable distributed systems capable of handling terrabytes of data. Architect and implement algorithms for data indexing and search capabilities. Build and maintain backend services for data storage, including work with key-value databases and synchronization. Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you.If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.",Mid-Senior level,Machine Learning Engineer - Data Pipeline
+803,2025-03-26,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.You WillReport into the TLM for the Learned Metrics TeamDevelop ML models that assess our autonomous vehicle's behavior.Develop ML infrastructure to support performant models.Collaborate across teams to bring state-of-the-art to production.You HaveBS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience2+ years of experience building productionized ML modelsCode and design skills: comfort building production systems (Python / C++)Background in applied Deep LearningA track record in improving model qualityWe Prefer4+ years of experience building productionized ML modelsExperience in reinforcement learning, transfer learning, or learning.Experience with large scale data and modelsThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$204,000—$259,000 USD",Mid-Senior level,Senior Machine Learning Software Engineer
+804,2025-03-23,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionThe Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer(SDE)/Machine Learning Engineer(MLE) to play pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs!Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry!So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this exhilarating adventure and let's revolutionize AGI together! #MLEKey job responsibilities Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs. Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications. Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.A day in the lifeAs a SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software.About The TeamJoin our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Master's degree in computer science or equivalent Experience in techniques like kernel fusion and custom kernels to improve GPU utilization, mixed precision training using lower precision and dynamic loss scaling while leveraging hardware specific mixed precision capabilities and/or demonstrated ability to implement efficient memory management like gradient (activation) checkpointing, gradient accumulation, offloading optimizer states, and smart prefetching.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2799313",Not Applicable,"Machine Learning Engineer, Amazon General Intelligence (AGI)"
+805,2025-03-27,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe Document Cloud AI & Innovation team is looking for a Machine Learning Engineer. We are the team behind Adobe Liquid Mode which was featured on TIME's Best Invention of 2023 and Acrobat AI Assistant which was featured on TIME's Best Invention of 202 4 ! We are looking for someone who will apply AI and machine learning techniques to help Adobe deliver state of the art document experiences to its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems related to document viewing, editing, creation, etc.By using machine learning techniques, the candidate will work on the research and development of exciting projects such as LLM powered capabilities for d ocument workflows such as consumption, creation and editing .Ideal candidates will have a strong academic background as well as technical skills in machine learning and software development. Familiarity with working with large-scale datasets would be a plus. In this role your work will have the potential to have a positive impact on the lives of millions of people across the world!What You’ll Do Develop predictive models (CV and/or NLP) trained on large-scale datasets to address various business problems with sophisticated machine learning techniques.  Develop and implement scalable and efficient ML models that can work with large-scale data in production systems running on mobile devices with limited memory and compute .  Collaborate with product management and engineering groups to develop new products and features. What You Need To Succeed Deep understanding of machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods.  Experience in NLP and working with LLMs. Experience with ML techniques for computer vision is a plus.  Proficient in one or more programming languages such as Python, Java, Objective C or C++ .  Familiar with one or more machine learning or statistical modeling tools such as PyTorch or TensorFlow .  Strong analytical and quantitative problem-solving ability.  Excellent communication, relationship skills and a strong team player.  PhD or M aster’s degree in Computer Science , Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required with 3+ years of experience (for PhD) or with 8+ years of experience (for Master’s). Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $162,000 -- $301,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,Senior Machine Learning Engineer
+806,2025-03-14,Fremont,California,Pony.ai,https://www.pony.ai/,"Pony AI Inc. (“Pony.ai”) is a global leader in the large-scale commercialization of autonomous mobility.
+Leveraging its vehicle-agnostic Virtual Driver technology, full-stack autonomous driving technology that seamlessly integrates its proprietary software, hardware, and services, Pony.ai is developing a commercially viable and sustainable business model that enables the mass production and deployment of vehicles across transportation use cases. 
+Founded in 2016, Pony.ai has expanded its presence across China, Europe, East Asia, the Middle East, and other regions, ensuring widespread accessibility to its advanced technology.
+Pony.ai is among the first in China to obtain licenses to operate fully driverless vehicles in all four Tier-1 cities in China (Beijing, Guangzhou, Shanghai, Shenzhen) and has begun to offer public-facing, fare-charging robotaxi services without safety drivers in Beijing, Guangzhou and Shenzhen. Pony.ai operates a fleet consisting of over 250 robotaxis. 
+To date, Pony.ai has driven nearly 40 million autonomous testing and operation kilometers (nearly 24.8 million miles) on open roads worldwide.
+","DescriptionFounded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024.ResponsibilityThe ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring.As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems.This includes:Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures.Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure.Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries.Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models..RequirementsBS/MS or Ph.D in computer science, electrical engineering or a related discipline.Strong programming skills in C/C++ or Python.Experience on model optimization, quantization or other efficient deep learning techniquesGood understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc.Experience with profiling, benchmarking and validating performance for complex computing architectures.Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks.Strong communication skills and ability to work cross-functionally between software and hardware teamsPreferred Qualifications:One or more of the following fields are preferredExperience with parallel programming, ideally CUDA, OpenCL or OpenACC.Experience in computer vision, machine learning and deep learning.Strong knowledge of software design, programming techniques and algorithms.Good knowledge of common deep learning frameworks and libraries.Deep knowledge on system performance, GPU optimization or ML compiler.Compensation and BenefitsBase Salary Range: $140,000 - $250,000 AnnuallyCompensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units.Also, we provide the following benefits to the eligible employees:Health Care Plan (Medical, Dental & Vision)Retirement Plan (Traditional and Roth 401k)Life Insurance (Basic, Voluntary & AD&D)Paid Time Off (Vacation & Public Holidays)Family Leave (Maternity, Paternity)Short Term & Long Term DisabilityFree Food & Snacks",Associate,"Machine Learning Engineer, ML Runtime & Optimization"
+807,2025-04-02,San Francisco,California,Candid Health,https://www.joincandidhealth.com,"Candid Health is building a modern medical payments platform that enables healthcare providers to focus on delivering high-quality, affordable and accessible care, rather than spending half their time figuring out how to get paid by insurance.","What You’ll Be DoingYou’ll conceptualize, design, build, and maintain complex services/platforms/features and develop ownership over large swaths of our product + infrastructure. You’ll interact closely with our current + prospective customers, developing intuition around their biggest pain points and thinking of creative ways to address them. You’ll play a critical role in shaping our engineering + broader company culture and help make this the best place we’ve ever worked. Who You AreYou have Bachelors of Science or Bachelors of Art in Computer Science, Computer Engineering, Math or other similar degree. You have 5+ years of experience in a Software Engineering position. Experience with the technologies we currently use is a plus, but by no means required: Python, PostgreSQL, Docker, Kubernetes, React, Typescript, Google Cloud Platform, Auth0, Terraform. You enjoy building high-quality software, but you also anchor on outcomes and have good intuition around which corners are worth cutting and which aren’t. You enjoy owning features end-to-end and are comfortable learning new tools or moving across the stack to do so. You have a customer-first and learner’s mindset, and value teaching others. You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing. Pay TransparencyThe estimated starting annual salary range for this position is $135,000 to $180,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles.",Mid-Senior level,Software Engineer
+808,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+809,2025-04-03,San Francisco,CA,Airbnb,http://airbnb.com,"Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million Hosts who have welcomed over 1.5 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.","Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Community You Will JoinWe are looking for a talented Data Scientist to join the Locations Data Science team. Locations are a fundamental part of multiple aspects of Airbnb. This team is responsible for investing and expanding our Locations data foundation, creating the intelligence around Locations data strategy, and building the data products needed to provide guests the location context they need to make informed booking decisions.The Difference You Will MakeAs a Staff Data scientist on the Locations team, you will have the opportunity to help shape the data strategy of Locations at Airbnb. Your role will involve close collaboration with Product to identify user pain points that will inform new Locations features and Engineering to ensure our expanding data foundation is robust, scalable, and cost effective.You will analyze and derive new location data products and features. This may range in projects from recommending places-of-interest based on traveler preferences, to generating neighborhood vibes and descriptions using LLMs, to modeling and discovering location affinities to name a few examples.A Typical DayBuild a deep understanding of the locations space through technical analysis. Translate insights into impactful user-facing location data products or assets.Drive exploration, development, and prototyping of innovative location data products in close partnership with product and engineering stakeholders.Explore both internal and external data sources to derive impactful location assets.Quantify the impact of launched data products through experimentation and/or causal inference techniques.Research new approaches to measure items like location relevance and map behaviors to understand how they tie to user satisfaction and business outcomes.Your QualificationsAdvanced degree (PhD or Masters) in Data Science, Statistics, Geographic Information Systems, Econometrics, or a related field.9+ years of relevant industry experience (6+ with a PhD).Prior experience working with geospatial data strongly preferred.Hands on experience using LLMs for information retrieval or knowledge extraction preferred. Related NLP, CV, UGC/content understanding experience a plus.Proven ability to effectively communicate and influence at various altitudes to technical and non-technical stakeholders.Prior experience working with XFN partners like product, engineering, and design to enable data-driven product development.Familiarity prototyping, building, and scaling derived data assets.Your Location:This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & BelongingAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.How We'll Take Care Of YouOur job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.Pay Range$194,000—$240,000 USD",Mid-Senior level,"Staff Data Scientist, Locations"
+810,2025-03-20,San Francisco,California,Uber,http://www.uber.com,"We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
+
+The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.","About The RoleWe are looking for an experienced Senior Machine Learnign Engineer to join the Trusted Identity engineering team at Uber.The Trusted Identity org plays a crucial role in our mission to thoroughly verify the identity of our customers (riders, eaters) and partners (drivers, restaurants) while ensuring powerful, intuitive and streamlined user experiences. Our continued obsession for innovation in the space is essential to ensure safety as people interact on Uber's platform. The Account Integrity team in this org prevents fake identities from operating on the platform, and ensures that accounts are not duplicated nor fraudulent to enhance accountabilityWhat The Candidate Will Need / Bonus Points---- What the Candidate Will Do ----Develop production machine learning solutions to ensure the integrity of every Uber accountPartner with engineering and product leaders to help shape the roadmapLeverage digital information, behavior signals and social networking signals to establish trust in users. Build large scale systems to find similarities and relationships between various entities such as users, devices, images etc. Integrate with business systems dealing with risk, safety, and compliance.  Basic Qualifications5+ years of industry experience developing machine learning models ( both classical and deep learning) and shipping ML solutions to production. Bachelor's degree in Computer Science, Engineering, Mathematics or related fieldStrong problem-solving skills, with expertise in ML methodologiesExperience in applying ML, statistics, or optimization techniques to solve large-scale real-world problemsIndustry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java Preferred QualificationsPhD degree in Computer Science, Engineering, Mathematics or related fieldFamiliarity with multi-task learning, LLMs and anomaly detectionFraud domain knowledgeFor San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.",Mid-Senior level,"Senior Software Engineer, Machine Learning"
+811,2025-03-30,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2875476",Not Applicable,"Machine Learning Engineer, AGIF"
+812,2025-04-02,San Francisco,,Ema Unlimited,https://ema.co/,"Ema is an enterprise partner of choice in building and deploying Agentic AI solutions. We are:
+
+›› Simple - Conversationally build AI employees that learn and excel beyond human limits. Multiply your workforce in minutes, not months.
+
+›› Trusted - Take control back by replacing 100s of vulnerable co-pilots with Ema’s secure and compliant AI Employees. Ema can be deployed both on-cloud and on-prem, and is compliant with industry-leading standards, including SOC 2 Type I & II, HIPAA, GDPR, ISO 27001, NIST CSF, NIST SP 800-171, and NIST AI RMF. We are also one of the world's only companies to be certified ISO 42001, the world's first AI management system standard.
+
+›› Accurate - Achieve the highest accuracy at the lowest costs and latency with Ema’s proprietary 2T+ EmaFusion (TM) model, built for wide-ranging enterprise use-cases. Get the power of 100+ LLMs at your fingertips. 
+
+Experience the future of work with Ema, every enterprise’s best performing employee. Hire Ema today.","Who We AreEma is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google).Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. Most of our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology.Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from our Mountain View, CA office three days a week.Who You AreWe're looking for innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact.You WillConceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems.Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.Minimum QualificationsA Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.At least 2 years of industry experience in building and deploying production-level machine learning models.Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.Ideally, You'd HaveExcellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.Familiarity with cloud platforms like GCP or Azure.Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects.Good understanding of software development principles, data structures, and algorithms.Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.The ability to work collaboratively in an extremely fast-paced, startup environment.For California Based CandidatesThe standard base salary for this position is $135,000 to $200,000 annually.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.",Entry level,Machine Learning Engineer - Bay Area
+813,2025-04-03,Worldwide,,Deloitte,http://www.deloitte.com/,"Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Deloitte invests in outstanding people of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. 
+
+Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities. DTTL (also referred to as “Deloitte Global”) and each of its member firms are legally separate and independent entities. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.
+
+The content on this page contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively the “Deloitte Network”) is, by means of this publication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser. No entity in the Deloitte Network shall be responsible for any loss whatsoever sustained by any person who relies on content from this page.","Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.Work You'll Do/ResponsibilitiesWork with data science techniques and libraries to show data's applicability to the clients' business problems.Perform exploratory data analysis to define analytical models.Develop advanced quantitative models using Python, PySpark, and associated libraries to support predictive assessments.Explain analytics model behavior/results in business-friendly language.Build, test, validate, and demonstrate analytical models through various relevant error metrics and calibration techniques.Apply algorithms that require multiple models/methods to be used in an ensemble.Utilize SQL to query, manipulate and extract data to drive business insightsDeploy models into production with Airflow.Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operationalThe Team As a part of the US Strategy & Analytics Offering Portfolio, the AI & Data offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.QualificationsRequired5+ Years experience as a Data Scientist5+ Years experience conducting Time-Series Analysis and Anomaly Detection5+ Years experience using the following tools: SQL, Tableau, and PythonBachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experienceLimited immigration sponsorship may be availableMust be able to sit onsite in Cupertino, CAAbility to travel 10%, on average, based on the work you do and the clients and industries/sectors you servePreferredA background in marketing analytics, market research, or sales analyticsAnalytical/ Decision Making ResponsibilitiesAnalytical ability to manage multiple projects and prioritize tasks into manageable work productsCan operate independently or with minimum supervisionExcellent Written and Communication SkillsAbility to deliver technical demonstrationsFor individuals assigned and/or hired to work in California, Colorado, Hawaii, Jersey City, Nevada, New York state, and Washington State, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California, Colorado, Hawaii, Jersey City, Nevada, New York state, and Washington state and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $109,000 to $170,000.Additional RequirementsInformation for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html",Not Applicable,Data Scientist
+814,2025-04-05,Farmers Branch,Texas,Intellisoft Technologies,http://www.intellisofttech.com,"IntelliSoft Technologies, Inc. was founded in 1997 and specializes in providing software products & integrated solutions to Fortune 500 clients.  IntelliSoft   leverages CMMI Level 3, ISO, and ITIL best practices to deliver full software development life cycle support to our customers.  From vendor neutral perspective we help our clients to evaluate, select and integrate leading edge technologies.
+
+Our product portfolio includes 
+Datamorphix.ai - Conversational Analytics AI Platform
+Edbrix.com  - Enterprise learning management platform
+Hrchex.com - Background Checks & Human Capital Management Platform
+Orionox.com - Enterprise VOIP Platform","Role: AI Software DeveloperLocation: Austin, TXPlease do not submit candidates who are not currently in Austin, TX.C2C is okayVisa visa-independent candidate must work on direct W2The Software Developer at this level is responsible for knowing numerous development languages and platforms to support ROW and IT business units. Those include scripting technologies, database technologies, and experience developing with newer technologies such as AI. This resource is also expected to have a strong working knowledge of software engineering, integration capabilities, logical database and sql development, and coding libraries.Maintained and enhance formulas and calculation scripts.Monitor daily load processes for issues.Managed testing and rollout of new application releases.Work closely with technologies that can use Microsoft Copilot.Support the development of technical documentation and new features for users.Work Snowflake and data needs for that platform.Work with business users to expand existing e-commerce business needs to meet reporting requirements.Work closely with project managers to maintain and adjust actuals, planning, and forecasting data needs for changes in the business environment.Create new VBA/Excel applications to support actuals, planning, and forecasting reporting and data collection.Create exports, imports, data transformations, and calculations to support ongoing and new business requirements.Advise leadership and project management team members to find creative and effective solutions to business data problems.Preferred: E-Commerce and its capabilitiesThanksAnshikaanshika@intellisofttech.com",Mid-Senior level,AI Software Engineer
+815,2025-04-09,Lynchburg,Virginia,CloudFit Software,http://www.cloudfitsoftware.com,"...Powering Every Digital Transformation...
+
+Our mission is to enable companies and individuals to innovate at whatever speed they desire by providing critical operational outcomes as managed scenarios.
+
+getfit@cloudfitsoftware.com
+https://www.instagram.com/CloudFitSoftware/
+https://twitter.com/cloudfitsw
+","CloudFit Software is looking for a Junior Data Science Engineer to join our team! This role will work closely with our engineering and delivery teams to analyze large datasets, develop predictive models, and generate actionable insights. As a Data Science Engineer, you will play a key role in helping our organization make data-driven decisions. The ideal candidate will have a passion for learning new technologies, staying updated with the latest industry trends, and adapting to the evolving needs of the company and its customers.ResponsibilitiesData Collection and Cleaning: Gather data from various sources and ensure its quality and integrity.Data Analysis: Use statistical methods to analyze data and identify trends, patterns, and insights.Model Development: Assist in the development and implementation of predictive models and machine learning algorithms.Reporting: Create reports and visualizations to communicate findings to stakeholders.Collaboration: Work with cross-functional teams to understand business needs and provide data-driven solutions.Continuous Learning: Stay updated with the latest industry trends and technologies in data science.RoleWhat makes you the perfect fit for this role: Education: Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.Programming Skills: Proficiency in Python and R, including libraries like Pandas, NumPy, Scikit-learn Probability and Statistics: Strong understanding of statistical concepts like hypothesis testing, regression analysis, and Bayesian statistics Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for handling large datasets Data Visualization: Experience with data visualization tools such as Tableau, Power BI, or similar.Machine Learning: Basic understanding of machine learning algorithms and techniques.Communication Skills: Excellent written and verbal communication skills to explain complex concepts to non-technical stakeholders.Problem-Solving: Strong analytical and problem-solving abilities.Some Nice Haves (but Not Required)Experience: Previous internship or project experience in data science or a related field.Certifications: Relevant certifications in data science or machine learning.The salary range for this role is $50,000 - $100,000 + benefits, & perks. Please note the national salary range listed in the job posting reflects the new hire salary range across levels and U.S. locations that would be applicable to the position. Final salary will be commensurate with the candidate’s final level and location. Also, the range represents salary only and does not include our total rewards package.Current Federal Security Clearance or ability to obtain (US Citizenship required)  CloudFit participates in E-Verify and will provide the federal government with your Form I-9 information to confirm you are authorized to work in the U.S.Don’t meet every single requirement? Studies show that women and people of color often hesitate to apply for jobs unless they meet every qualification listed. At CloudFit, we’re committed to creating a diverse, inclusive, and authentic workplace. If you’re excited about this role but your experience doesn’t align perfectly with every qualification, we still encourage you to apply! You might be the perfect fit for this position—or another one on our team.CloudFit Benefits & Perks:   CloudFit benefits are designed with wellness in mind, to support what matters the most: Physical Health: Medical, dental, vision insurance, & voluntary health options for you and your family! Mental Health: Talkspace, Calm, virtual therapy, counselingFinancial Wellness: 401(k), HSA, FSAs, Personal Financial Advisors  3 Weeks of PTO, 15 Paid Company Holidays, 8 Giving Back Hours Wellness Program: reimbursement, gym discounts, health fairs, & more!Recognition Program: Earn & give recognition, annual awards, celebrations Career development for employees at every level is a priority at CloudFit. Certification Reimbursement User Friendly Career Development Tools & Resources Check out CloudFit Candidate Portal for more information on roles, benefits, internships, and more!  About CloudFitCloudFit Software provides customers the ability to quickly iterate on the development of Cloud Solutions while optimizing security, networking, operations, and monitoring through an engineering mindset. At CloudFit, we instrument solutions that attempt to reduce the human element by applying automation and engineering to every aspect of a solution's lifecycle. CloudFit focuses on delivering managed scenarios that meet customer business needs. This allows us to provide core operational outcomes while integrating back with the customer’s existing operations teams. Please be aware many of our positions require the ability to obtain security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.  CloudFit is committed to providing reasonable accommodations and support in our recruiting processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need accommodation, please contact the Talent Acquisition team at careers@cloudfitsoftware.com.  CloudFit is an equal opportunities employer and welcomes applications from all sections of society, including veterans, and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.",Entry level,Junior Data Science Engineer
+816,2025-03-31,Chuo-ku,Tokyo,Woven by Toyota,,"Woven by Toyota will help to deliver the safest, most intelligent mobility experiences and lifestyle for Toyota customers everywhere. At Woven by Toyota, we envision a human-centered future, where world-class technology expands global access to mobility, enhances the capabilities of drivers, and empowers people to thrive. We achieve this with a unique global culture that weaves modern Silicon Valley innovation with Japanese quality craftsmanship. As society, technology and customer needs evolve, we continuously pursue new ways to create a more personal, seamless experience for customers.","Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society.Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.TEAMAt Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work includes a diverse array of challenges and activities, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications.WHO ARE WE LOOKING FOR?The team is looking for a Senior Data Scientist to spearhead the creation and deployment of sophisticated data models and algorithms to tackle business challenges for the Autonomy team. You will enhance and streamline scalable data pipelines, automation systems for machine learning, and performance assessment. You will also develop algorithms, pipelines and key strategies to optimize the utilization of large-scale fleet data for our next-generation automated driving solutions, influencing millions of Toyota customer vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity.ResponsibilitiesLead the development of complex data models and algorithms to solve business problems for the Autonomy team. Design and implement data strategies for collecting, sampling, labeling, and using large scale datasets to enhance machine learning model performance. Develop metrics and tools for anomaly detection and trend analysis in data from various sources, including real-world vehicle platforms and simulations. Analyze model performance metrics, model failure modes, statistical relevance of datasets, etc. to guide the overall ML engineering effort. Design and improve scalable data pipelines and automation for machine learning and performance evaluation. Prepare and present detailed reports and visualizations to stakeholders, clearly communicating complex results to both technical and non-technical audiences. Stay current with advancements in data science and machine learning technologies, driving the adoption of best practices. Work in a high-velocity environment and employ agile development practices. Exhibit a ""Giver"" mindset, proactively asking, “What can I do for you?” to facilitate production development processes while maintaining a ""get things done"" mentality. Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions. Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor (Michigan) offices three days per week. Minimum QualificationsMS or PhD in a quantitative field (e.g. Statistics, Mathematics, Physics)3+ years of experience solving large-scale data science problems2+ years of experience with Python and SQL data analysis libraries and packagesExperience with theoretical aspects of data science and machine learning (deep learning, statistical analysis, and mathematical modeling)Experience in building machine learning algorithms and infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluationStrong communication skills with the ability to communicate concepts clearly and precisely. NICE TO HAVESConducting thorough analyses of large-scale multimodal driving dataLeveraging statistical techniques and machine learning algorithms to derive data insightsBuild or manage infrastructure, such as Docker, Kubernetes, Jenkins, GitHub ActionsExperience with temporal/sequential and/or spatial dataExperience with computer vision ( e.g.multi-view geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping) Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control) Experience in self-driving challenges (Perception, Prediction, Mapping, Localization, Planning, Simulation). The base pay for this position ranges from $94,500- $155,250 a yearYour base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.What We OfferWe are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.・Excellent health, wellness, dental and vision coverage・A rewarding 401k program・Flexible vacation policy・Family planning and care benefitsOur Commitment・We are an equal opportunity employer and value diversity.・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.",Mid-Senior level,"Machine Learning Engineer, Behavior Data"
+817,2025-03-31,Concord,Massachusetts,ERG,http://www.erg.com,"ERG is a multidisciplinary consulting firm offering a broad range of professional services. From offices across the country, we serve a spectrum of public and private clients, including federal agencies, state governments, corporations, and universities.","ERG is a research and consulting firm that provides a wide range of support to federal, state, and commercial clients. ERG offers multidisciplinary teams with nationally recognized skills in engineering, science, economics, public health, informational technology, and communications. We hire people with the best minds and then provide them with a vibrant and flexible environment in which to develop their careers. The qualified individual must be highly motivated with the skills to prioritize, perform, and communicate effectively in a fast-paced environment. ERG is seeking an experienced Data Scientist to independently develop and lead projects focused on information extraction from documents. This data scientist will be working within the newly established Product Impact group helping ERG build a key database of environmental product declarations and product category rules.Job Description:Lead the development and implementation of data extraction solutions from various document typesDesign, develop, and maintain algorithms and models for information extractionEnsure the integrity and accuracy of extracted dataPrepare technical design documents and specificationsConduct technical reviews of data extraction solutions created by others to ensure compliance with applicable standards, codes, and regulations, as well as end-user requirementsSupport the data extraction process from concept through delivery of the completed solutionCollaborate and communicate effectively with other stakeholders, both internal and external, and the development team (e.g., engineering department, IT department)Qualifications and Skills: A minimum of 3 years of experience in data science is required; 5+ years is preferredAt least three years of experience with information extraction from documentsExperience with machine learning and generative AI models and APIsProficiency in Python and relevant data science librariesExperience with cloud platforms, preferably Google Cloud Platform (GCP)Experience working with lifecycle assessment, greenhouse gas emissions data and/or supply chain platforms is a plusAbility to prioritize, perform, and communicate effectively in a fast-paced environmentERG offers competitive salaries and excellent benefits, including health and dental insurance, life insurance, long-term disability, educational benefits, FSAs, a generous 401k plan, profit sharing, an EAP, 11-20 paid vacation days per year, 10 paid holidays per year, 56 hours or more of sick leave (based on the state you work in) per year (pro-rated for part-time) and more. The salary range for all positions depends on the years and type of experience.   ERG is an equal opportunity employer and complies with all applicable EEOC regulations. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual preference, national origin, disability, or status as a protected veteran.     Please be aware, the only authentic corporate domain for ERG is https://www.erg.com.  ERG may, on occasion, screen applicants via telephone or video interviews via Skype, Teams, GoToMeeting, or another type of video platform. However, any candidate extended a job offer might be asked to meet in person with an ERG employee before providing confidential personal information associated with new employment.   If you’re a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access ERG’s online application process as a result of your disability. To request accommodation, please contact Human Resources via email at Resumes-Lex@erg.com or call (781) 674-7293.   ERG fosters a friendly, flexible work environment. ERGers are dedicated to serving clients who are committed to making the world a better place. We promote and recognize principles of fairness and respect in the work we do, the partnerships we foster, and the culture we value both within and outside of our organization. ",Entry level,Data Scientist
+818,2025-03-20,,,Anthropic,https://www.anthropic.com/,"We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.
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+Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability. ","About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About The RoleWe are looking for ML engineers to help build safety and oversight mechanisms for our AI systems. As a Trust and Safety Machine Learning Engineer, you will work to train models which detect harmful behaviors and help ensure user well-being. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies.ResponsibilitiesBuild machine learning models to detect unwanted or anomalous behaviors from users and API partners, and integrate them into our production systemImprove our automated detection and enforcement systems as neededAnalyze user reports of inappropriate accounts and build machine learning models to detect similar instances proactivelySurface abuse patterns to our research teams to harden models at the training stageYou May Be a Good Fit If YouHave 4+ years of experience in a research/ML engineering or an applied research scientist position, preferably with a focus on trust and safety.Have proficiency in SQL, Python, and data analysis/data mining tools.Have proficiency in building trust and safety AI/ML systems, such as behavioral classifiers or anomaly detection.Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.Care about the societal impacts and long-term implications of your work.Strong Candidates May Also Have Experience WithMachine learning frameworks like Scikit-Learn, TensorFlow, or PyTorchHigh-performance, large-scale ML systemsLanguage modeling with transformersReinforcement learningLarge-scale ETLAnnual SalaryThe expected salary range for this position is:$340,000 - $425,000 USDLogisticsEducation requirements: We require at least a Bachelor's degree in a related field or equivalent experience.Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.How We're DifferentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.",Mid-Senior level,"Machine Learning Engineer, Safeguards"
+819,2025-04-09,VIENNA,,AiVantage Inc (Global),https://aivantage.global/,"Embark on your AI and tech journey with AiVantage – a strategic ally for businesses seeking growth and innovation. We go beyond meeting your tech needs; we anticipate them, ensuring you gain a competitive edge and achieve guaranteed success.
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+At AiVantage, we specialize in comprehensive solutions that empower businesses to thrive in an era defined by data, analytics, and cutting-edge technology. Our main offerings are crafted to address the diverse needs of our clients, ensuring they stay ahead of the curve in an ever-evolving tech landscape.
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+Reach us today at info@aivantage.global to discuss your needs.","OverviewWe are looking for a Machine Learning Engineer to develop and deploy machine learning models, build NLP solutions, and optimize data pipelines. The ideal candidate will work on anomaly detection, time-series analysis, and automation while collaborating with cross-functional teams.Key ResponsibilitiesMachine Learning & NLP: Develop and deploy ML models for tasks like name screening, sentiment analysis, and text classification.Anomaly Detection & Time Series Analysis: Build predictive models using LSTM, SVD, and other techniques.API Development: Create APIs to integrate ML models into applications.Data Engineering: Design scalable ETL pipelines, clean and validate data, and manage time-series databases.Web Scraping & Automation: Develop automated data extraction solutions integrated with NLP.Data Visualization: Create reports and insights to support decision-making.Collaboration & Leadership: Work with business teams, mentor junior members, and contribute to team development.Skills & QualificationsStrong knowledge of Python, TensorFlow, PyTorch, and Scikit-learnExperience with NLP tools (spaCy, NLTK, Hugging Face)Hands-on expertise in anomaly detection and predictive analyticsProficiency in SQL, Apache Spark, and cloud platforms (AWS/GCP/Azure)Experience with API development (Flask, FastAPI)Strong problem-solving and communication skills",Mid-Senior level,Data Scientist - Diss
+820,2025-03-08,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced Front end Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team that’s working to help people connect with each other around the globe. Join us!Software Engineer, Front End Responsibilities:Lead complex technical or product efforts involving many engineersProvide technical guidance and mentorship to peersImplement the features and user interfaces of Facebook products like News FeedArchitect efficient and reusable front-end systems that drive complex web applicationsCollaborate with Product Designers, Product Managers, and Software Engineers to deliver compelling user-facing productsIdentify and resolve performance and scalability issuesMinimum Qualifications:6+ years of JavaScript experience, including concepts like asynchronous programming, closures, types, and ES65+ years of HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibilityExperience with browser APIs and optimizing front end performanceExperience building maintainable and testable code bases, including API design and unit testing techniquesDemonstrated experience driving change within an organization and leading complex technical projectsCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Shipped at least one large-scale product to production, supporting millions of active usersAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Front End"
+821,2025-04-06,New York,,SoTalent,https://sotechtalent.com/,"At SoTechTalent, we specialise in connecting forward-thinking tech companies with world-class talent. With deep expertise in SaaS, AI, Cybersecurity, Data and Fintech, we provide bespoke hiring and recruitment solutions tailored to help your business thrive. Whether you're scaling a startup or building a powerhouse team, we're here to make finding exceptional talent effortless and impactiful. ","Company OverviewOur client is a US banking institue with a global reach, best known for its credit cards, but it also offers a full range of banking products—including savings and checking accounts, auto loans, and business banking. They’re a major player in both consumer and commercial finance, and what sets them apart is their heavy investment in tech leaning hard into data, AI, and cloud computing to make banking smarter, faster, and more user-friendly. About the Role We’re looking for a data scientist to help shape smarter financial tools at scale. You’ll work with large, complex datasets and apply advanced machine learning techniques to improve the way customers interact with their finances. Your models will power real-world decisions that aim to reduce financial stress and increase efficiency for everyday users.About the TeamYou'll join the customer management analytics team focused on building intelligent, automated systems that guide key decisions for existing users. You'll partner closely with engineers, analysts, and product teams — to bring ideas from concept to production. The team owns every stage of the model lifecycle, from development to deployment, ongoing maintenance, and compliance. A big focus of our current work is streamlining models with fewer manual inputs, increasing both scalability and ease of use.What You’ll DoCollaborate with engineers, analysts, and product managers to build tools people actually want to useWork with a tech stack that includes Python, Spark, AWS, and open-source libraries to analyze large-scale dataDevelop, test, and deploy machine learning models that influence business outcomesCommunicate complex ideas clearly to people who aren’t data scientistsWhat We’re Looking ForYou might be a fit if you:Enjoy solving loosely defined problems and aren't afraid to suggest new approachesKeep up with the latest trends in data science and are eager to apply themHave a solid foundation in statistical modeling and machine learningCan translate technical findings into actionable business insightsHave experience with programming languages like Python, R, or Scala, and are familiar with SQLKnow your way around cloud platforms (AWS experience is a bonus)Qualifications Minimum:A Bachelor’s degree in a quantitative field (math, statistics, computer science, etc.) with at least 2 years of analytics experience ORA Master’s degree in a related field or an MBA with a strong quantitative backgroundPreferred:Master’s or PhD in a STEM fieldExperience working in cloud environments, especially AWS2+ years of hands-on experience with Python, R, or ScalaBackground in building and deploying machine learning modelsFamiliarity with SQL and data pipeline toolsSponsorship for employment authorization may be available for qualified candidates.",Associate,Data Scientist
+822,2025-03-25,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The Generative AI Production TeamThe Post-Training pod under Generative AI Production Team is at the forefront of refining and enhancing generative AI models for advertising, content creation, and beyond. Our mission is to take pre-trained models and fine-tune them to achieve state-of-the-art (SOTA) performance in vertical ad categories and multi-modal applications. We optimize models through fine-tuning, reinforcement learning, and domain adaptation, ensuring that AI-generated content meets the highest quality and relevance standards.We work closely with pre-training teams, application teams, and multi-modal model developers (T2V, I2V, T2I) to bridge foundational AI advancements with real-world, high-performance applications. If you are passionate about pushing cognitive boundaries, optimizing AI models, and elevating AI-generated content to new heights, this is the team for you.As a Machine Learning Engineer, you will drive innovations in post-training optimization, reinforcement learning, and fine-tuning techniques to maximize the performance of generative AI models. You will work on multi-modal diffusion models, transformer architectures, and various RL algorithms to adapt pre-trained models into highly performant, domain-specific AI solutions.Responsibilities Develop and implement fine-tuning strategies for large-scale diffusion models (T2V, I2V, T2I) to achieve SOTA performance in advertising and creative applications. Optimize reinforcement learning methods (e.g., DPO, PPO, GRPO) to refine generative model outputs, ensuring alignment with human preferences and business objectives. Enhance model personalization by integrating domain adaptation, contrastive learning, and retrieval-augmented generation techniques. Work closely with pre-training teams to refine and extend model capabilities, ensuring seamless adaptation from foundational training to specialized, high-precision use cases. Collaborate with application teams to deploy fine-tuned models into real-world content generation pipelines, optimizing for latency, efficiency, and content quality. Advance model evaluation and signal growth strategies, designing innovative objective and subjective evaluation metrics for continuous model improvement. Integrate novel training methodologies, such as self-supervised learning, active learning, and reinforcement learning-based data curation, to enhance generative model quality. Explore cutting-edge techniques from academia and open-source communities, driving innovation in generative AI and maintaining TikTok’s leadership in the field.QualificationsMinimum Qualifications: B.S., M.S., or Ph.D. in Computer Science, Electrical Engineering, or a related field. 3+ years of industry experience in machine learning, deep learning, and large-scale AI model optimization. Expertise in PyTorch, diffusion models, and transformer architectures. Strong background in fine-tuning large models for vertical applications in multi GPU settings. Hands-on experience with reinforcement learning (DPO, PPO, GRPO), contrastive learning, and retrieval-based methods. Deep understanding of generative model evaluation, multi-modal learning, and domain adaptation techniques. Experience in scaling model fine-tuning and inference on large GPU clusters. Strong proficiency in model distillation, quantization, and memory-efficient optimization techniques (e.g., LoRA, QLoRA, ZeRO, DeepSpeed). Familiarity with distributed computing frameworks (Ray, Triton, vLLM) for large-scale AI training. Ability to design iterative data curation loops that enhance model learning signals and domain relevance. Experience in active learning, dataset distillation, and self-improving model pipelines.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,"Machine Learning Engineer - GenAI Post Train, Monetization Generative AI"
+823,2025-04-02,Bentonville,Arkansas,Walmart Data Ventures,https://www.walmartdataventures.com/,"With approximately 255 million customers and members visiting more than 10,500 stores and numerous eCommerce websites in 19 countries, Walmart is uniquely positioned to serve customers how, when and where they want.  
+
+Formed in 2021, Walmart Data Ventures unlocks the full value of Walmart’s first-party data, delivering actionable, customer-centric insights through Scintilla, our integrated insights ecosystem. Scintilla is now available in the U.S., Mexico, and Canada, offering Merchants and brands a comprehensive solution to make informed business decisions in today’s dynamic retail environment. 
+
+The name ‘Scintilla,’ derived from the Latin word for ‘spark,’ embodies the power of a single insight to ignite transformative ideas. Even the smallest, most granular data point can drive decisions that create meaningful impact. Scintilla empowers businesses to turn insights into action, optimizing every touchpoint along the customer journey—from home to store—and the product journey—from source to shelf. 
+
+At Walmart Data Ventures, our mission is to deliver value to customers, suppliers, merchants, and store operators by bridging insights with actionable strategies that enhance the retail experience. ","Position Summary...What you'll do...We are looking for a Machine Learning Engineer III to work on scaling and deployment cutting-edge machine learning and deep learning algorithms powering Data Ventures team, akin to a nimble startup incubated within Walmart, building the best-in-class Suite of Data Products to deliver actionable, customer-centric insights and help merchants and suppliers make better business decisions on omni channel 360 performance. You will play a self-starter team player role in working with the architects on data science solutions. You’ll spend your days working on and implementing MLOPs best practices and optimizing and deploying various ML models and solutions. Position ResponsibilitiesThe Machine Learning Engineer works on building and deploying scalable end-to-end data science solutions for our data products. Works closely with data engineers, data analysts, data scientists and application developers to help build ML and statistics driven models and continuous model monitoring workflows Contributes to the MLOps lifecycle, from data monitoring to refactoring data science code to building robust ML model lifecycle Works with Data Scientists and Architects to deploy holistic machine learning solutions after successful prototypingFollow industry best practices, stay up to date with and extend the state of the art in machine learning research and practiceYou’ll Sweep Us Off Our Feet IfYou have engineering mindset and exposure to software engineering principles, Agile methodologies, CICD, distributed systems and implemented that in Machine Learning projectsYou have strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, Shell scripting. You worked on integrating ML models with webservicesAbout Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, Hybrid WorkWe use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.BenefitsBenefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity EmployerWalmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.‎‎‎You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.‎For information about PTO, see https://one.walmart.com/notices.‎‎Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.‎Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.‎For Information About Benefits And Eligibility, See One.Walmart.‎Sunnyvale, California US-04397:The annual salary range for this position is $117,000.00-$234,000.00‎Bentonville, Arkansas US-10424:The annual salary range for this position is $90,000.00-$180,000.00‎‎‎‎‎‎‎‎‎‎Additional Compensation Includes Annual Or Quarterly Performance Bonuses.‎Additional Compensation For Certain Positions May Also Include‎‎ Stock‎‎Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America",Entry level,Data Scientist III - Machine Learning Engineer - Data Ventures
+824,2025-03-26,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
+
+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.You WillReport into the TLM for the Learned Metrics TeamDevelop ML models that assess our autonomous vehicle's behavior.Develop ML infrastructure to support performant models.Collaborate across teams to bring state-of-the-art to production.You HaveBS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience2+ years of experience building productionized ML modelsCode and design skills: comfort building production systems (Python / C++)Background in applied Deep LearningA track record in improving model qualityWe Prefer4+ years of experience building productionized ML modelsExperience in reinforcement learning, transfer learning, or learning.Experience with large scale data and modelsThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$204,000—$259,000 USD",Mid-Senior level,Senior Machine Learning Software Engineer
+825,2025-04-03,Tampa,Fl,Kforce Inc,https://kfrc.co/4cjVXax,"Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers industry-leading companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise.
+
+Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®","ResponsibilitiesKforce has a client that is seeking an AI Software Engineer in Pittsburgh, PA. This is a hybrid position reporting to our client's office 3 days a week in downtown Pittsburgh. Overview: This individual will play a pivotal role in shaping the future of our AI capabilities through the development and implementation of our generative AI platform. This dynamic full-stack position is at the forefront of technological innovation, where you will lead groundbreaking initiatives that transform how we leverage AI to drive operational efficiency and enhance client services. Essential Duties and Responsibilities: Lead the development and delivery of our generative AI platform Collaborate with cross-functional teams to ensure the successful implementation and adoption of AI-driven solutions Develop optimized scalable vector databases to support return augmented generation in AI Develop tools that interface with and process output from cloud APIs Design and implement AI safety controls at the web application and API layer, working closely with security Design and build fault-tolerant scalable infrastructure to support long-running large-scale AI tasks reliably despite failure of individual nodes Design and build infrastructure for serving large AI models in our private cloud environment Develop and maintain project plans, timelines, and budgets Stay up to date with industry trends and best practices in digital adoption platforms and AI technology Mentor junior engineers by providing insights and best practices in AI software development and integration, promoting a culture of continuous learning and professional development Write detailed documentation for our AI systems, processes, and best practices to ensure clarity and facilitate knowledge sharing across the organizationRequirements Bachelor's degree in Computer Science, Computer Engineering, or other technical field Minimum of five (5) years of recent experience designing and building web, automation, and/or AI solutions to address business needs Strong knowledge of generative AI principles and AI prompt structure Firm understanding of UX principles and web design programming languages; HTML, CSS, Node JS, React, JavaScript and/or TypeScript, Python, Perl, etc. Experience following Agile software development methodologies (e.g., Scrum, Kanban) Ability to effectively manage, maintain, and scale Docker containers and Linux hosts Ability to use Azure DevOps Repos for source control and deployment of all code projects Ability to understand technical possibilities and limitations of AI platforms and to explain complicated technical concepts to non-technical audiences Experience working in a deadline-driven environment and multitasking/prioritizing a workload of competing priorities Experience collaborating cross-functionally to create alignment and support; ability to independently manage several projects simultaneously and operate under tight deadlines; Background in organizational change management is a plusWhy Should You Work With Us Competitive salary and generous Paid Time Off Hybrid work schedules Paid Holidays, including a floating Holiday Wellness program, including free use of the Calm App Free use of building gym Caregiving assistance with Bright Horizons (child, elder, and pet care) Access to our firm-wide emergency assistance fund Free full access to LinkedIn Learning Insurance - Medical, Dental, Vision 401K Program Retirement Savings ProgramThe pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.This job is not eligible for bonuses, incentives or commissions.Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.",Mid-Senior level,AI Software Engineer
+826,2025-01-13,Irvine,California,Turion Space,http://www.turionspace.com,"Unleashing Mankind's Galactic Destiny
+*we build DROIDs and STARFIRE
+
+https://x.com/TurionSpace
+https://www.youtube.com/@TURIONSPACE","Department: PayloadLocation: Irvine, CaliforniaCompensation: $110,000 - $130,000 / yearDescriptionThe Machine Learning Team concentrates on developing and implementing novel machine learning algorithms for solving trailblazing problems in the developing new space economy. These include but are not limited to, Computer Vision, Edge Processing, Data Fusion, and probabilistic statistical modeling.As a Machine Learning Engineer, you will innovate upon existing capabilities, assimilate current research, implement state-of-the-art algorithms, productionize models, develop MLOps solutions, and work with end-users to integrate solutions. Expected start date: January 2025Key ResponsibilitiesDesign, develop, and validate algorithmic solutions which are highly reliable and scalableResearch and identify useful algorithms for challenging space-based applicationsOptimize the runtime performance of existing implementationsInterface with end-users and partners in Colorado Springs' collaborative environmentsIntegrate current and future machine learning solutions into production pipelines Contribute to team discussions, providing insight and feedback to collectively drive innovation across several related projectsQualificationsMinimum Qualifications:Bachelor's or Master's degree in Data Science, Machine Learning, or related technical field, or have 4+ years of relevant professional experienceStrong programming skills in PythonStrong experience with one or more of the following: Pytorch, Tensorflow, JaxStrong understanding of linear algebra, calculus, statistics, and machine learningExperience in developing advanced machine learning applicationsExperience with data analysis, data engineering, and data exploration techniquesExcellent problem-solving, critical thinking skills, and strong engineering fundamentalsBe able to effectively communicate complex topics and algorithms related to your workStrong oral and written communication skillsExperience with Linux and shell command-line toolsMust be willing to travel for participation in cross-company collaborationMust be able to work extended hours and weekends as needed on rare occasionsMust be able to obtain a Secret and/or a TS/SCI clearancePreferred Skills and ExperienceStrong programming skills in C++Experience productionizing machine learning solutionsExperience working with machine learning in cloud environments (AWS, GCP, Azure, etc.)Experience with one or more of the following: computer vision, uncertainty quantification, signal processing, computational physics, time series analysisExperience with one or more of the following platforms: KubeFlow, Blender, Nvidia OmniverseITAR Requirements:This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.BenefitsHealth Insurance: Comprehensive medical, dental, and vision coverage.Retirement Plans: Access to a 401(k) plan.Paid Time Off: Generous vacation days, personal days, and holidays to ensure you have time to recharge.Professional Development: Opportunities for ongoing training, workshops, and courses to advance your skills and career growth.Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment.Diverse and Inclusive Culture: A commitment to diversity and inclusion, with initiatives to support a welcoming and equitable work environment.Turion Space is an Equal Opportunity Employer; employment with Turion Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of Turion's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify the Human Resources Department.",Mid-Senior level,Machine Learning Engineer
+827,2025-04-06,New York,NY,Ankura,http://ankura.com,"Ankura Consulting Group, LLC is an independent global expert services and advisory firm that delivers services and end-to-end solutions to help clients at critical inflection points related to change, risk, disputes, finance, performance, distress, and transformation. The Ankura team consists of more than 1,800 professionals in more than 35 locations globally who are leaders in their respective fields and areas of expertise. Collaborative lateral thinking, hard-earned experience, expertise, and multidisciplinary capabilities drive results and Ankura is unrivaled in its ability to assist clients to Protect, Create, and Recover Value.","Ankura is a team of excellence founded on innovation and growth.Practice OverviewAnkura’s Data & Technology Practice includes client services in the areas of Analytics & Data Strategy, eDiscovery & Cyber Security. Our Data & Technology team helps our internal and external customers design, execute and test cutting edge solutions in each of our respective areas.Role OverviewAs a Senior Data Scientist in the Data Analytics & AI practice You will be developing and implementing data processing software, analytics algorithms, yielding optimization solutions to our business problems using programming languages such as Java, C, SQL, and Python. In this role, you will interact with a team of experts in Machine Learning and advanced AI analytics. This role offers the chance to work on challenging projects, collaborate with talented professionals, and contribute to the success of leading organizations across industries.This role is remote, located in the United StatesResponsibilitiesAdvocating product with internal customers and leading demos with prospective clients Applying AI, machine learning, and analytics techniques to develop analytics solutions to business problems. Developing, maintaining, and deploying analytics software. Establishing effective relationships with internal analytics, consulting, research teams and other key stakeholders to quickly bring products, tools, and models to market Understanding the market need, competitive landscape; identifying differentiators and opportunities for our products/solutions RequirementsApplicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the futureBA/BS in Computer Science, Engineering, Business Analytics or another analytical area. Advanced degree preferred.5-7+ years of experience as a Data Scientist1-2 AI projects (internal/external) using Generative AIStrong experience in Python/R language, and optionally in different programming languages such as C#, Scala and Spark. Excellent understanding of GenAI, LLMs, approaches to fine tuning, evaluation, and prompt engineeringExcellent skills in machine learning/deep learning-based algorithms with structured/ unstructured dataStrong mathematical & statistical understanding behind the algorithmsKnowledge in NLP with packages like Stanford NLTK packagesStrong SQL skillsets are requiredML skills in modern cloud infrastructure such as Azure, AWS, or GCP is strongly desiredIntermediate skills in visualization tools like PowerBI or Tableau is a plusExperience with automated ML tools like Dataiku, Data Robot, or H20.AI is a plusAbility to travel 25%+ or as needed, dependent upon engagement(s) For individuals assigned and/or hired to work in California, Colorado, or New York, Ankura is required to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the said markets and considers a broad range of factors including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The range does not include additional benefits outside of salary. At Ankura, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each role. A reasonable estimate of the current base pay range is between $85, 000 to $200,000; this range is not a promise of a particular wage.Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.",Mid-Senior level,"Senior Artificial Intelligence (AI) Data Scientist, Data & Technology, Data Analytics & AI (Remote)"
+828,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.Job Responsibilities Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, etc. Build machine learning solutions and algorithm strategies by the analysis and mining of a large number of user query to empower the merchant side and improve the overall matching ability of the platform Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological developmentQualificationsMinimum Qualifications Proficient in at least one programming language: c++, python, shell, and other programming skills, with a solid programming foundation and good programming style Experience in algorithm development, familiar with the application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet), familiar with commonly used deep learning algorithmsPreferred Qualifications Able to solve problems independently, good sense of teamwork and communication skills; Experience in search engines, recommendation systems, and computational advertising-related fields is preferred.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Search Engine, E-Commerce Alliance"
+829,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications Experience programming with at least one software programming language 3+ years of non-internship professional software development experience Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Hands-on experience with generative AI technologyPreferred Qualifications Bachelor's degree in computer science or equivalent Hands-on experience with at least one ML library or framework 1+ years of experience in developing, deploying or optimizing ML models. 2+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2918741",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center"
+830,2025-03-06,San Diego,CA,"pSemi, A Murata Company",http://www.psemi.com,"pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor’s 30-year legacy of technology advancements and strong IP portfolio but with a new mission—to enhance Murata’s world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi’s product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi’s team explores new ways to make electronics for the connected world smaller, thinner, faster and better.
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+The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo and HaRP are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies.
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+pSemi is an equal opportunity employer supporting a diverse workforce.","pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor’s 30-year legacy of technology advancements and strong IP portfolio but with a new mission—to enhance Murata’s world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi’s product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi’s team explores new ways to make electronics for the connected world smaller, thinner, faster and better.Job SummaryThis position will assist engineers in designing, developing, and implementing AI/ML solutions utilizing large language models (LLMs) from sources such as OpenAI, Llama, and Gemini. The intern will support the creation of Agent frameworks that leverage Agentic AI principles for autonomous decision-making and task execution. Additionally, this role will involve leveraging software to automate RFIC design workflows to improve efficiency and accuracy. This includes contributing throughout the entire product life cycle—from initial concept through scalable deployment.Roles & ResponsibilitiesThis position has responsibility for:API Development: Build robust APIs for LLM integration using frameworks like Flask and FastAPI.Agent Framework Creation: Assist in developing intelligent systems based on Agentic AI principles using tools like Langchain or Llamaindex.Data Management: Support backend software development efforts including database infrastructure management with SQL, NoSQL, or vector databases. Implement RAG systems to improve LLM performance.RFIC Design Automation: Leverage software tools to automate various stages of RFIC design workflows, including simulation setups, data collection processes, and verification procedures.Model Implementation: Collaborate with engineers to implement tools like Langchain and LlamaIndex for enhancing data flow between applications and LLMs.Research & Documentation: Conduct research on emerging technologies in AI/ML frameworks and their application to the semiconductor industry.Competency RequirementsIn order to perform the job successfully, an individual should demonstrate the following competencies:Critical Thinking: Skilled at finding logical flaws in arguments and plans; identifies problems and solutions that others might miss; provides detailed insight and constructive criticism into problems and complex situations Working with Ambiguity: Achieves forward progress in the face of poorly defined situations and/or unclear goals; able to work effectively with limited or partial information Displaying Technical Expertise: Keeps his/her technical skills current; effectively applies specialized knowledge and skills to perform work tasks; understands and masters the technical skills, knowledge, and tasks associated with his/her job; shares technical expertise with othersDriving for Results: Aggressively pursues challenging goals and objectives; will to put in considerable time and effort to accomplish objectives; takes a highly focused, goal driven approach toward work Making Accurate Judgments and Decisions: Bases decisions on a systematic review of relevant facts and information; avoids making assumptions or rushing to judgment; provides clear rationale for decisions Minimum Qualifications (Experience And Skills)Hands-on experience in programming languages such as Python. Familiarity with machine learning concepts including large language models such as GPT4, Llama, Gemini, and Claude. Experience with backend development using Flask or FastAP. Preferred QualificationsUnderstanding cloud service architecture across platforms like AWS, Azure or GCP would be advantageous.Knowledge of vector databases, RAG frameworks, and vector databases is a plus.Education RequirementsFulltime enrollment in Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or related field (must be completing 3+ years)Work EnvironmentThis job operates in a professional office environment. This role routinely uses standard office equipment.Physical DemandsThe physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds.USD 32.20 - 58.32 per hourThank you for your interest in our temporary position. Please be advised that the selected candidate will be employed and receive all wages directly from a third-party staffing agency selected by pSemi.pSemi Corporation supports a diverse workforce and is committed to a policy of equal employment opportunity for applicants and employees. pSemi does not discriminate on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender (including pregnancy, childbirth, or related medical conditions or breastfeeding), gender identity, gender expression, genetic information, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code section 12801.9), ancestry, physical or mental disability, legally-protected medical condition, military or veteran status (including “protected veterans” under applicable affirmative action laws), marital status, sexual orientation, or any other basis protected by local, state or federal laws applicable to the Company. pSemi also prohibits discrimination based on the perception that an employee or applicant has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.Note: The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo, HaRP and DuNE are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies. pSemi products are protected under one or more of the following U.S. Patents: http://patents.psemi.com",Internship,"Intern, AI ML Software Engineer"
+831,2025-04-08,Atlanta,Georgia,Insight Global,https://www.insightglobal.com,"Insight Global is an international professional services and staffing company specializing in delivering talent and technical solutions to Fortune 1000 companies across the IT, Non-IT, Healthcare, and Engineering industries. Fueled by staffing and talent experts, Evergreen, our professional services brand, brings technical advisors and culture consultants to help customers tackle their biggest challenges. With over 70 locations across North America, Europe, and Asia, and global staffing capabilities in 50+ countries, our teams of tech-enabled recruiters are dedicated to finding the right talent and technical solutions to help our customers thrive. At our core, we are dedicated to empowering people to do great things. That’s why we’re passionate about developing our people personally, professionally, and financially so they can be the light to the world around them. To find out more, visit www.insightglobal.com","Thank you so much for your interest! This position is a REMOTE 12mo contract that will likely offer extensions, and potentially conversion to FTE. The role is moving quickly and our client is looking to extend an offer ASAP.Title: AI/ML EngineerDuration: 12 month remote contract, extensions / conversion expectedInterview Process: 2 Rounds1st Round: Preliminary Assessment via MS Teams, 30 minsFinal: 1hr with (2) team members, 20-30 min live scripting assessment includedStart Date: ASAPHourly Pay: $45-65/hr (approx)Compensation is based on qualifications including education, certifications, experience, and moreSchedule: Mon-Fri day shift, EST/CST schedule Must HavesMasters Degree & 1-2yrs exp or Bachelors Degree & 3-4 yrs expExpert level programming/scripting skills with Python/SQLExperience with cloud computing platforms, ideally Google CloudExperience creating Deep Learning Models with large data sets in TensorFlow, PyTorch, JAX, etc and optimizing training or deployment for GPUsExperience working in a team Git environment PlussesComfort calling Generative AI (GenAI) APIs, with or without “tools”, potentially as agentsIndustry experience in optimizing training and inference pipelines using HuggingFace on A/L/H series GPUs, enhancing model performanceIndustry experience using LLM Ops toolsExperience with GCP tools such as BigQuery, VertexAI, DataFlow, DataProc, etcExperience with healthcare dataAdvanced degree Day to Day Summary: We seek a highly skilled Data Science Consultant for our Medicare Member Experience data science team. In this role, you will be responsible for developing and deploying Artificial Intelligence and Machine Learning (AI/ML) solutions related to structured and unstructured NLP data from our members. Your solutions will drive improvements to models, pipelines, and text analytics programs. These programs maintain our industry-leading satisfaction scores and drive millions of dollars of Medicare reimbursement for the business. Your expertise in data science crossed with engineering best practices enables you to rapidly iterate from POC to final delivery.",Associate,Machine Learning Engineer
+832,2025-03-26,Mountain View,California,Waymo,https://waymo.com/careers/,"On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today.
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+Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.","Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.The ML Platform team builds tools & infra that empower all ML Engineers at Waymo to experiment & deploy ML models efficiently. These systems include solutions for data mining, data labeling, data understanding, model evaluation, artifacts management, ML orchestration, and ML Ops. We are looking for a senior leader to join our team to apply ML into our product offerings, making Waymo to be more efficient in deploying ML solutions.You WillReport into the Head of ML PlatformBring state-of-the-art ML techniques into products within Waymo's ML Platform by collaborating with others in the teamCollaborate with ML practitioners on models for perception, behavior prediction and planner to understand their modeling needs to shape the solutionsExample project: reinvent model evaluation at Waymo through model calibration techniques. More specifically, by calibrating the confidence score of Waymo's ML models, this will provide a more scalable way of estimating the performance of the models. By coupling this score with active learning techniques, this creates a flywheel in selecting data in improving the models autonomously.You Have8+ years of professional experience in the field of software engineeringExperience in programming C++ or PythonExperience with ML model developmentExperience in applying ML solutions to productsPassionate about development efficiency & productivityNice To HaveExperience in building internal toolings for ML developersExperience using open source computer vision models such as YOLO and SAMThe expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.Salary Range$238,000—$302,000 USD",Mid-Senior level,"Staff Machine Learning Engineer, ML Platform, Waymo"
+833,2025-02-18,New York,NY,Medal,https://medal.tv,"Medal.tv helps millions of gamers capture, manage, and share their best gaming moments every day. Users can also watch clips from their friends and  others that they've played with.","Medal enables millions of gamers to capture and share their best gaming moments and create memories together. Medal's 1M+ daily active users create 3M+ videos per day on our desktop and mobile applications. Your work will have a real impact on millions of people around the world!This role will be responsible for embedding Medal's database of billions of gaming clips to be contextualized more easily in the product, in addition to augmenting the embeddings via automated annotations and computer vision to create rich context around the clips.From a product perspective, this work will be used to improve library and social search functionality, and inform the ML recommendation system in Medal's social feed. In the future, the work will be used to improve the quality of the video editor via automation.What we're looking for:Depth of XP: 4+ years of video machine-learning, with a focus on image embedding and computer vision. Bonus for applicants who have XP in generative AI, familiarity with high throughput video inference/feature extractionIn-person: Looking to hire in NYC to contribute alongside the product team. 3+ days in the officeOwnership & attention to detail: You see things through, and can be responsible for end-to-end quality of complex featuresCode Performance: Excellent understanding of code performance and performance implications in productionBe result-driven: Everything we do is driven by the metrics and performance of the feature. We move fast and ship regularlyMeasuring with metrics: Comfort with A/B testing and measuring results with usage metricsGaming: A passion for games and the gaming communities, and a user of Discord and other gaming-adjacent products. XP working on gaming-related projects is a plusOur stack:ML technologies: GCP, Bigquery, OpenCV, PyTorch, KubeFlow Pipelines, AirflowDesktop Front-end: Electron, React, Redux, & other modern web-based technologiesRecorder: C# and C++Mobile: Swift for iOS, Kotlin for AndroidBackend: Java, Redis, RabbitMQ, Kubernetes, DockerInfra: Terraform, Salt, GitHub Actions, CircleCI for IaC and CI/CDPlease include the following:Links to apps you’ve released/portfolio, and a description of your contributionsResumeLinkedIn (Twitter if relevant)GithubThe pay range for this position at the start of employment is expected to be between $140,000 and $275,000 per year. However, base pay may vary further depending on individualized factors for candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Moreover, stock options will be issued. Our packages are strong for top-tier talent. The total compensation package for this position may also include other elements, including a bonus and a full range of medical, financial, and/or other benefits.",Not Applicable,Generative AI / Machine Learning Engineer - NYC
+834,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.We're looking for 2025 new grads to join us - In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously. Collaborate with product teams to define business objectives and improve trust and safety strategy. Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale. Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies. Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, Active learning models, Reinforcement learning models, and Large Language Models.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.QualificationsMinimum Qualifications: Master or Bachelor degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields. Hands-on or academic experience in one or more of the following areas: Machine learning, Large Language Models, Recommendation Systems, and related areas. Strong coding skills. Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $116000 - $168150 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (CV/NLP/Multimodal LLM- TikTok Trust and Safety) - 2025 Start (MS/BS)
+835,2024-07-24,,,Sony Interactive Entertainment,,,"Why PlayStation?PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.This Role will be based in London and would require relocationExperienced Deep Learning Engineer For Game TechnologyWe are looking for an experienced machine learning engineer with a solid understanding of low-level systems programming. If you are as comfortable in the memory view of your debugger as you are with training networks to solve problems, we would love you hear from you.This role could suit an experienced embedded/games industry programmer with a passion for Machine Learning, or an accomplished Machine Learning/Vision programmer with a good understanding of computer architecture and performance.The TeamThe Advanced Technology Group (ATG) is part of PlayStation Studios, and contributes to some of the most recognisable and ambitious console games and franchises. In addition to its original mission of developing ground-breaking technology for our games, which this role falls under, the group is also a key contributor to platform development, with among other things responsibility for a large part of the GPU software stack all PS5 games are built with.You will be part of a small creative team of ATG programmers tackling problems centred around computer vision and machine learning. Examples of some projects include the runtime tracking of PlayStation VR2 Sense controllers and a novel facial performance capture system used to produce assets for AAA games.Role OverviewYou are expected to develop innovative algorithms to solve novel problems, make technology choices, prototype solutions and bring them to production. Some of these systems are expected to run on millions of PlayStations in people’s homes, making high run-time performance crucial. You should stay up to date with the competition and the industry’s latest advances and academic developments. The role also involves close collaboration with our other teams in Europe, the U.S and Japan, as well as technical communication of the ideas and solutions developed.What We're Looking For Extensive experience with modern Deep Learning (PyTorch/TensorFlow): You will be expected to make decisions about data and architectures, to implement pipelines for training and validation and to develop and deploy models in production. Experience with C++ programming and strong debugging skills Understanding and experience of 3D maths/geometry: Including multiple-view geometry and 3D mesh representations.Nice-to-have Experience with Graphics and/or Game Engines Experience with Computer VisionBenefitsDiscretionary bonus opportunityPrivate Medical InsuranceDental Scheme25 days holiday per yearOn Site GymSubsidised CaféFree soft drinksOn site barAccess to cycle garage and showers“Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights”Equal Opportunity Statement:Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category.We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.Equal Opportunity Statement:Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.",Not Applicable,Machine Learning Engineer for Game Technology
+836,2025-03-20,San Francisco,California,Uber,http://www.uber.com,"We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
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+The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.","About The RoleWe are looking for an experienced Senior Machine Learnign Engineer to join the Trusted Identity engineering team at Uber.The Trusted Identity org plays a crucial role in our mission to thoroughly verify the identity of our customers (riders, eaters) and partners (drivers, restaurants) while ensuring powerful, intuitive and streamlined user experiences. Our continued obsession for innovation in the space is essential to ensure safety as people interact on Uber's platform. The Account Integrity team in this org prevents fake identities from operating on the platform, and ensures that accounts are not duplicated nor fraudulent to enhance accountabilityWhat The Candidate Will Need / Bonus Points---- What the Candidate Will Do ----Develop production machine learning solutions to ensure the integrity of every Uber accountPartner with engineering and product leaders to help shape the roadmapLeverage digital information, behavior signals and social networking signals to establish trust in users. Build large scale systems to find similarities and relationships between various entities such as users, devices, images etc. Integrate with business systems dealing with risk, safety, and compliance.  Basic Qualifications5+ years of industry experience developing machine learning models ( both classical and deep learning) and shipping ML solutions to production. Bachelor's degree in Computer Science, Engineering, Mathematics or related fieldStrong problem-solving skills, with expertise in ML methodologiesExperience in applying ML, statistics, or optimization techniques to solve large-scale real-world problemsIndustry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java Preferred QualificationsPhD degree in Computer Science, Engineering, Mathematics or related fieldFamiliarity with multi-task learning, LLMs and anomaly detectionFraud domain knowledgeFor San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.",Mid-Senior level,"Senior Software Engineer, Machine Learning"
+837,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
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+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications Experience programming with at least one software programming language 3+ years of non-internship professional software development experience Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Hands-on experience with generative AI technologyPreferred Qualifications Bachelor's degree in computer science or equivalent Hands-on experience with at least one ML library or framework 1+ years of experience in developing, deploying or optimizing ML models. 2+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2918741",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center"
+838,2025-04-04,Austin,Texas,Oracle,http://www.oracle.com,"We’re a cloud technology company that provides organizations around the world with computing infrastructure and software to help them innovate, unlock efficiencies and become more effective. We also created the world’s first – and only – autonomous database to help organize and secure our customers’ data.
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+Oracle Cloud Infrastructure offers higher performance, security, and cost savings. It is designed so businesses can move workloads easily from on-premises systems to the cloud, and between cloud and on-premises and other clouds. Oracle Cloud applications provide business leaders with modern applications that help them innovate, attain sustainable growth, and become more resilient. 
+ 
+The work we do is not only transforming the world of business--it's helping defend governments, and advance scientific and medical research. From nonprofits to companies of all sizes, millions of people use our tools to streamline supply chains, make HR more human, quickly pivot to a new financial plan, and connect data and people around the world.  
+
+At work, we embrace diversity, encourage personal and professional growth, and celebrate a global team of passionate people developing innovative technologies that help people and companies tackle real-world problems head-on.
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+If you’d like to join us, please visit our Careers page: https://www.oracle.com/corporate/careers/
+
+For investor news, SEC filings, and financial information about Oracle (NYSE:ORCL), please visit https://investor.oracle.com/home/.
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+Follow us on X: x.com/oracle 
+Like our page on Facebook: facebook.com/Oracle/ 
+Follow us on Instagram: instagram.com/oracle/
+","Job DescriptionAre you passionate about extracting insights from various data sources at large scale to support the development of complex systems? We are looking for a Data Engineer/ML Engineer who has the right mix of data processing experience, ML data preparation know-how and understanding of distributed systems to join us in solving complex problems in the context of information and network security. Our customers operate cloud environments at hyper scale and we strive to support their business success by designing and building innovative new solutions to monitor the security of their operations. We are a team with the energy of a start-up and value driven professionals who have passion to learn, enable others and deliver production quality solutions.Career Level - IC2ResponsibilitiesYour responsibilities include:Preparing and cleaning large volumes of data.Implementing safeguards to guarantee data quality.Introduce and align data government practices. Conduct periodic review of requirements on data ingestion and availability.Process and analyse data from various sources to extract basic statistics and insights.Contribute to the development of analyses to understand how the systems producing the data operate.Contribute to the development of monitoring capabilities to track information security.Contribute to the automation of development processes.Closely collaborate with our partner OCI operations team on data availability, resource provisioning, etc. Your qualifications:Bachelor’s or Master’s Degree in Computer Science or related field.2+ years of experience in data engineering or related field or equivalent experience. Experience in ML development or data preparation for the use of ML is a plus. Comfortable with writing non-trivial code in Python, Scala, and good skills in Java.Good background in cloud infrastructure automation (Terraform, Chef, or similar).Basic to good background in distributed systems incl. Spark and container platforms incl. Kubernetes. Experience in working in a DevOps model using any of the major cloud providers Azure, AWS, GCP, OCI, etc.Critical thinking skills and ability to solve complex problems.Excellent organizational, verbal, and written communication skills.Strong teamwork and collaboration skills.We offer:A team of very skilled, enthusiastic, and supportive colleagues.Ability to work in a hybrid environment.Ongoing training and skills development to further your career aspirations.Exposure to incredibly large-scale network infrastructure and the opportunities for innovation it brings.The resources of a large, global operation while keeping the feel of a smaller tight-knit team.The opportunity to deliver customer impact.QualificationsDisclaimer:Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.Range and benefit information provided in this posting are specific to the stated locations onlyUS: Hiring Range in USD from: $73,700 - $158,200 per year. May be eligible for bonus and equity.Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.Oracle US offers a comprehensive benefits package which includes the following: Medical, dental, and vision insurance, including expert medical opinion Short term disability and long term disability Life insurance and AD&D Supplemental life insurance (Employee/Spouse/Child) Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 11 paid holidays Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal Voluntary benefits including auto, homeowner and pet insuranceThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.About UsAs a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.",Mid-Senior level,Data engineer/ML engineer in Eastern/Central
+839,2025-04-01,San Francisco,California,Sentry,https://sentry.io,"Application monitoring software considered ""not bad"" by 4 million developers. Looking for support? ➡️ http://sentry.io/support.
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+Check out our merch store @ https://sentry.shop","About SentryBad software is everywhere, and we’re tired of it. Sentry is on a mission to help developers write better software faster so we can get back to enjoying technology.With more than $217 million in funding and 100,000+ organizations that believe we’re on to something, we're building performance and error monitoring tools that help companies like Disney, Microsoft, and Atlassian spend less time fixing bugs and more time building products.Sentry embraces a hybrid work model, with Mondays, Tuesdays, and Thursdays set as in-office anchor days to encourage meaningful collaboration. If you like to selfishly build things that make your digital life better, come help us build the next generation of software monitoring tools.About The RoleSoftware Engineering Interns at Sentry write real code on real projects that ship to production; no fetching coffee required.In this role you willBe matched with one of our Product or Infrastructure Engineering teams, based on your interests and experienceDesign, develop, and ship a programming solution that drives real values to customersReceive meaningful feedback, coaching, and mentorship from your manager and teammatesYou’ll love this job if you Want to experience being a full-time engineer on a team and not be ""just an intern""This means being responsible for leading a project from ideation to deployment, including writing a tech spec, scoping out work, technical implementation and testing, and shipping code!Value mentorship and being able to work closely with and learn from world-class engineersWant to join a modern software development team that iterates and ships code rapidlyAre excited at the opportunity to contribute to an open-source project every dayQualifications  Currently enrolled in an undergraduate or post-graduate degree program in Computer Science (or similar)Experience with Python, JavaScript or a similar dynamic programming language through internships, personal projects, or coding competitionsAt least 1 previous internship or equivalent practical experienceWe expect interns to be able to learn and deliver quickly (an intern’s first PR to Sentry is usually merged within a week). While a prior internship is not required, we expect the following abilities, experience, and skills from any applicant:Experience working with GitHubCollaborating with a team on an engineering projectAbility to pick up a new programming language quicklyYou know the fundamentals of algorithms and data structuresThis position begins September 2025Willing to relocate to San Francisco for the duration of your internship (we'll help get you here and provide a housing stipend)Please note visa sponsorship is not available for this positionThe base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $53.13 per hour. A successful candidate will be eligible to participate in Sentry’s employee benefit and perks programs applicable to the candidate’s position (including medical, dental and vision insurance coverage as well as temporary relocation support). See Sentry Benefits for more details about the Company’s benefit plans/programs.Equal Opportunity at SentrySentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy.",Internship,"Software Engineer, Intern (Fall 2025)"
+840,2024-06-26,Cambridge,Massachusetts,ISEE,https://www.isee.ai,"ISEE is an autonomous driving technology company, spun out of MIT, whose humanistic, AI-powered, self-driving yard trucks are modernizing the global supply chain for the world’s leading companies. ISEE autonomous yard trucks are helping customers like Maersk, Lazerspot, and Fortune 100 retail companies automate their logistics hubs and achieve even greater yard safety, cost savings, consistent driving performance, and reliable driving capacity. With proprietary technology that anticipates unexpected behavior better than any other solution on the market, ISEE is poised to become a leader in the $100B global autonomous yard truck market.","ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has several years of work experience.Role responsibilities include: Working on the intersection of sensing and perception algorithms Prototyping and deploying robust computer vision algorithms on ISEE’s vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition Benchmarking and maintaining developed modules Work independently to deliver high-quality code in a timely fashion Collaborate with team for testing, evaluation and review of codeRequired Qualifications Degree in Computer Science, Electrical Engineering, Robotics or related field Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data Strong Python and/or C++ skills Passionate about self-driving vehicles and real-world robotic solutions Strong presentation and communication skillsPreferred Publication record in top-tier computer vision or machine learning conferences 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios Robotics/autonomous experience is a plus",Not Applicable,Machine Learning Engineer
+841,2025-03-25,San Jose,CA,Cisco,http://www.cisco.com,"Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience.  With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. ","Meet the TeamThe mission AI Defense at Cisco is to provide end-to-end protection for Enterprise AI application. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. We are pioneers in all aspects of AI security from supply chain to development time model vulnerability detection to protecting against real time attacks on deployed AI applications.Your ImpactJoin Cisco's AI Defense ML Team and be at the forefront of AI Security innovation.Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that ensure AI safety and security for all. As a Data Platform Engineer, you'll have the chance to design the data platform driving cutting-edge ML algorithms that detect and protect against AI security risks. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of detection techniques and their deployment in production environments. You will collaborate with a talented team of ML engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI safety and Security with us and make an enduring impact on AI adoption across the world!As a Data Platform Engineer, you will.Design Scalable data pipelines for large semi-structured data using advanced distributed cloud data warehouse technologies. Build backend and data infrastructure that supports our need for fast data ingestion including customer telemetry data and open-source datasets, modeling experimentation and model evaluation pipelines. Build data quality and labeling pipelines for continuous data quality improvementsCompile datasets from diverse data sources for AI Security applications. Ensure compliance with data provenance, governance, and privacy regulations; develop and enforce data creation and usage processes. Explore data generation strategies for textual and multi-modal data for AI Defense use cases, including working with the Threat Intelligence team to inform new data generation techniquesYou'll have the opportunity to contribute to our overall machine learning and data management culture as a member of the team. Minimum Qualifications:A BS with minimum 3 years of experience or MS in Computer Science/Engineering. Experience with some backend datastore similar to Snowflake or Databricks. Strong programming skills in generic programming languages such as Python or Golang. SQL proficiency for complex data transformations and querying, strong understanding of semi-structured data handling. Preferred Qualifications:An attitude of hands-on learning and constant experimentation to decompose and understand problem areas. Comfortable with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action. Familiarity with modern data warehousing technologies like Snowflake/databricks and data formats like Snowpark/IcebergAbility to use the latest GenAI technologies and creative prompting. Comfortable with traditional ML frameworks like pytorch, TensorFlow, FastAI etc... Excellent written and verbal communication skills, strong analytical and problem-solving skills. #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!",Not Applicable,Senior Machine Learning Engineer- AI Defense Team
+842,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+843,2025-04-08,New York,New York,EDO,http://www.edo.com,"EDO, Inc. is the TV outcomes company — a leading platform measuring predictive behaviors driven by Convergent TV advertising. By combining real-time engagement signals with world-class decision science, EDO data maximizes creative and media performance. We work with modern marketers at leading brands, TV networks, entertainment studios, and ad agencies. EDO's investment-grade data align advertising investments to business results - with detailed competitive, category, historical, and predictive intelligence. For industry intel, success stories, and top ads, visit EDO.com.","Who We AreEDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression — across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results — with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO’s TV intelligence to know what works.EDO is headquartered in New York City and Los Angeles, along with a San Francisco office. This position is remote.To learn more about the work we do at EDO, please visit EDO Press.The RoleAs a Machine Learning Engineer focused on performance optimization at EDO, you will join a team of talented Data Scientists and MLEs to improve the modeling pipelines that underlie our Ad EnGage product. Ad EnGage measures the effectiveness of advertising by combining and analyzing dozens of sources of household-level advertising delivery events, household-level outcome data, identity resolution data, and various other inputs. Our clients use these insights to make critical business decisions about their advertising strategy. You will work with large data sets (trillions of rows and hundreds of TB of data) using a modern tech stack centered on Python, DBT, and Snowflake.What You Will DoIdentify performance bottlenecks in Snowflake queries, and either tune modeling code to query data more efficiently or work with data engineering teams to change upstream tables for more efficient reads.Identify memory inefficiencies in Python code (ex. memory leaks, excessive copies) and rewrite more efficiently.Identify processing inefficiencies (missing parallelization, repeated computation, etc.) in data processing, modeling, and scoring code.Identify inefficient Pandas operations and optimize or migrate the step to Polars or other alternatives.Diagnose out-of-memory errors in modeling pipelines.Develop runtime and memory profiling test suites to detect performance regressions in our modeling codebase.What We Are Looking ForA minimum of 5 years of machine learning engineering, software engineering, or data science experience, including at least 3 years of development/maintenance of machine learning tools or systems.A self-driven individual who can own projects and communicate across technical teams to determine where and how to resolve performance issues. Strong knowledge of columnar databases (such as Snowflake, Redshift, etc), high performance data processing in python (like Polars or DuckDB), and Python memory and runtime optimization.Strong proficiency with Python, especially memory and CPU profiling.Strong proficiency in SQL, including inspection of query plans, query optimization, and strategies for working with slowly changing dimension tables.A strong understanding of software engineering practices, principles, and fundamentals.Experience We Can Help You DevelopSQLalchemy and Snowflake-specific expertise.Memory and CPU profiling test suites.Development and test pipelines, continuous integration.Development of feature engineering pipelines and DBT.Directly working with vendor engineers to resolve performance regressions.Compensation & Benefits:EDO offers a competitive compensation package. Components of compensation include:Mid-stage equity and competitive salaryFlexible Time OffMedical, dental and vision coverage, deeply discounted by EDO401(k) plan, FSA, HSACommuter BenefitsWhen in an office, employee meals, snacks, and moreIn compliance with New York and California Pay Transparency Law, the salary range for this position is $130,000-180,000. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.",Mid-Senior level,Machine Learning Engineer
+844,2025-03-21,New York,NY,JPMorganChase,http://www.jpmorganchase.com,"With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
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+We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services.
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+Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms
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+© 2024 JPMorgan Chase & Co. All rights reserved. JPMorganChase is an Equal Opportunity Employer, including Disability/Veterans.
+ ","Job DescriptionBring your passion for solving complex AI/ML engineering problems to a high impact role on our investment team. Through a close partnership with a team of portfolio managers and data scientists, your engineering expertise will contribute directly to the future growth and innovation of our products.As a Data Science Engineer in the Applied Data Science investment team within J.P. Morgan Asset Management, you will collaborate closely with portfolio managers and data scientists on a proprietary data science investment process. You will partner with team members across the full lifecycle of the team’s AI/ML projects, helping to solve complex engineering problems from the research stage through to production implementation.Job ResponsibilitiesDesign highly scalable pipelines for data ingestion and data processingDeploy efficient inference workflows for large-scale AI modelsEnsure pipeline robustness by constructing effective monitoring workflowsIntegrate datasets across a wide variety of formatsRemain up to date with the latest developments in AI through research and experimentationPartner directly with the team’s data scientists to facilitate research projects and production implementationRequired Qualifications, Capabilities, And Skills3+ years of relevant experience working with large-scale datasetsProficiency in programming languages such as PythonStrong understanding of data science pipelines and relevant technologiesHands-on experience with public cloud servicesIntellectual curiosity and passion for problem solvingPreferred Qualifications, Capabilities, And SkillsDemonstrated success bringing large-scale pipelines from research to productionExperience working with AWS servicesSolid understanding of AI/ML models, including previous experience with deep learning frameworksExperience working with a variety of data formats, including natural language, image, and time series dataABOUT USJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/VeteransAbout The TeamJ.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.",Mid-Senior level,Machine Learning Engineer Vice President
+845,2025-04-04,Sleepy Eye,MN,Christensen Farms,http://www.christensenfarms.com,"Founded in 1974 as a small family operation, Christensen Farms is now a leading producer and processor of high quality pork products with operations in Minnesota, Iowa, Illinois, Nebraska and South Dakota. Marketing nearly 4 million market pigs per year, Christensen Farms is also the largest shareholder of Triumph Foods, LLC. Located in St. Joseph, Missouri, Triumph Foods is a leading processor of pork products for both the domestic and global marketplace. Through Triumph Foods, Triumph members own 50 percent of Daily’s Premium Meats, a further pork processing company specializing in premium bacon, ham and other pork products. 
+
+Offering a highly collaborative and professional work environment along with endless opportunities for development and growth, learn how you can combine your passion with a growing career at Christensen Farms.","Christensen Farms is one of the largest, family-owned pork producers in the United States, marketing approximately 3 million hogs per year. Headquartered in Sleepy Eye, Minnesota, the company operates throughout the Midwest with facilities in Minnesota, Iowa, Nebraska, Illinois and South Dakota. Christensen Farms owns four feed mills, manages 140,000 sows on 44 farms, and oversees more than 350 nurseries and grow-finish sites. The company employees nearly 1,000 people and maintains 1,500 contract partnerships.From Our Manager""This Data Scientist role within our Finance group is a visible role for someone with a strong modeling background to collaborate with various business units and senior leadership. There will be many opportunities to shape this role to develop your data science/predictive analytics skillset and collaborate with senior leadership to model and find solutions to critical issues facing the organization"".Hiring ManagerPosition Overview And ResponsibilitiesThe Data Scientist position is a critical member of the finance department. In this role, you will collaborate with business leaders across multiple departments, including Procurement, Feed Mill Operations, Production, and Finance/Accounting, to drive business improvement initiatives, identify cost-saving opportunities, and deliver actionable insights through data analysis. The ideal candidate will possess a strong analytical mindset, the ability to work with large datasets, and a passion for leveraging data to influence strategic decision-making. You will contribute to high-impact projects that enhance the organization's financial health and inform decision-making at all levels. Additionally, you will support the development of our Data Lake House and apply expertise in predictive modeling and machine learning to optimize business outcomes.What You Will DoServe as the first line of support for FP&A data needs, works with stakeholders and data architects to define and design data solutions.Leverage advanced data science techniques, including artificial intelligence platforms, bring together generative artificial intelligence combined with machine learning and statistical analysis, to automate reporting processes, streamline workflows, and improve the efficiency of FP&A outputs.Develop and maintain financial and operational datasets, as well as dashboards that provide real-time insights into business performance. Ensure data accuracy and integrity to support effective decision-making.Stay up to date with the latest advancements in data science, machine learning, and BI tools to ensure that the team is leveraging cutting-edge technologies to drive impactful results.Collaborate with accounting and business leaders to assist in the preparation of annual budgets and forecasts.What You Offer UsBachelor's degree in Finance, Computer Science, Data Science or other equivalents.Highly proficient in developing and understanding SQL, Python queries.Highly proficient working with business intelligence (BI) software, SASS, Power BI.2 years minimum experience working with artificial intelligence platforms, bringing together capabilities of GenAI combined with foundation models and traditional machine learning.Pluses: IBM Watson, AI/ML data modeling, agriculture.Strong overall communication, presentation and collaboration skills.What We Offer YouFuture leadership career track within data science in a visible role.Opportunity to grow at a leading adopter of AI/ML and predictive modeling within a fast-paced ag industry.We offer a comprehensive benefits package including health, dental, vision, a flexible spending account (FSA), life insurance, short-term disability, long-term disability, a 401(k) plan, paid holidays, paid time off bank, an employee assistance program (EAP), and more. Be part of an organization that gives back to the community in many ways---including feed programs that support local farms, food shelf programs, food support for veterans, agriculture education and promotion, FFA/4H support, charitable contributions, etc. A company that has a passionate purpose for food safety, animal welfare, and for living its core values every day--respect, integrity, excellence, adaptability, and innovation. A culture that fosters employee growth, promotion from within, and a highly team-oriented workplace environment. Reports ToManager of Financial Planning & AnalysisSalary: $90000 - $120000 per yearJob Posted by ApplicantPro",Entry level,Data Scientist - Finance
+846,2025-03-31,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.TikTok's advertising business is built on leveraging external signals to create features and labels that train personalized ad models. As signal loss becomes a growing challenge in online advertising, our Ads Identity and Attribution team is at the forefront of addressing this shift. We focus on identity matching (deriving user identification from signals) and ad attribution (assigning signals to ad touchpoints), both critical to the data foundation of TikTok's ad delivery system. What began as a technical engineering problem has evolved into a large-scale system challenge, requiring both cutting-edge data processing technologies and innovative machine learning algorithms.Responsibilities:By joining us, you'll have the opportunity to participate in the development of algorithms and systems for one of the world's leading ranking and recommendation services. Your work will mainly include: Developing advanced ML and LLM algorithms (including retrieval, ranking, calibration modules) for signal matching systems at the scale of millions of QPS Iterating and optimizing ranking algorithms and strategies through data analysis and experimentation. Leading the development and operational work of large-scale, distributed real-time systems for testing, integrating, and deploying machine learning models. Creating algorithms and data-driven solutions that utilize one of the world’s richest user behavior datasets for various ads-related use cases, such as ads ranking, targeting, bidding, calibration, and reporting. Collaborating with product teams to define product strategies and features.QualificationsQualifications: Bachelor's or Master's degree in Computer Science, Computer Engineering, or related fields from an internationally renowned university. Proficient in one or more general-purpose programming languages, including but not limited to: Go, C/C++, Python. Experience in machine learning/deep learning algorithm development at large internet companies in one of the following areas: search, ads, or recommendation.Preferred Qualifications (for senior positions, must meet at least one): PhD and research experience in AI fields such as ML, NLP, CV, with papers published in top-tier conferences/journals (e.g., ICML, NIPS, KDD). Experience of engineering development experience for systems at millions of QPS scale Experience leading complex projects with successful delivery.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $129960 - $194750 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Mid-Senior level,Machine Learning Engineer - Ads Signal
+847,2025-03-27,China,China,ByteDance,https://job.bytedance.com/en/#/,"ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok.
+
+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. 
+
+Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.
+
+We have over 110,000 employees based in more than 30 countries globally. Join us.","ResponsibilitiesAbout the teamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.QualificationsMinimum Qualifications: Currently pursuing a Bachelor's or Master's in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.Preferred Qualifications Graduating December 2025 onwards with intent to return to degree-program after the completion of the internship. Demonstrated software engineering or natural language processing, deep learning experience from previous internship, work experience, coding competitions, or publications. High levels of creativity and quick problem-solving capabilities.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $42.75- $57.75.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About UsFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.Why Join ByteDanceInspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.Reasonable AccommodationByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (Search-TikTok Recommendation) - 2025 Summer (BS/MS)
+848,2025-04-05,Santa Clara,California,Plus,https://www.plus.ai,"Plus is a global AI-first autonomous trucking software company delivering safe autonomous trucks at scale. Headquartered in Silicon Valley with operations in the United States and Europe, Plus is named by Fast Company as one of the World's Most Innovative Companies. 
+
+Partners including Bosch, DSV, Hyundai Motor Company, Iveco Group, and Scania/MAN/International of the TRATON GROUP are working with Plus to accelerate the deployment of next-generation factory-built autonomous trucks. ","We are seeking a Software Engineer Intern to join our team and contribute to the development of externally shareable metrics dashboards. This project aims to replace our current dashboard system with a more suitable solution that can facilitate the sharing of dashboards with our customers. The intern will be responsible for various aspects of this project, including data processing, data synchronization, metrics calculation, frontend chart development, data security, and access control.Responsibilities:Data Processing and Synchronization: Assist in the processing and synchronization of data to ensure that the dashboards are up-to-date and accurate. Metrics Calculation: Develop or contribute to the development of metrics calculation algorithms to ensure that the dashboards provide meaningful insights. Frontend Chart Development: Develop and maintain frontend charts using modern web technologies to ensure the dashboards are visually appealing and user-friendly. Data Security and Access Control: Implement and maintain data security measures to ensure that the dashboards are secure and that access is controlled appropriately. Collaboration and Communication: Work closely with the team and stakeholders to ensure clear communication and smooth project execution. Required Skills:MS or PhD student in Computer Science, Data Science, or a related field. Demonstrated experience in software development, preferably in a web environment. Proficiency in programming languages such as Python or JavaScript. Knowledge of data visualization tools (e.g., Superset, Tableau, or other similar platforms). Familiarity with web development frameworks (e.g., React, Angular, or Vue.js ). Understanding of data security and access control principles. Strong problem-solving and analytical skills. Excellent communication and teamwork skills. Ability to work independently and as part of a team. $19 - $65 an hourOur internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.",Internship,Software Engineer Intern - Data
+849,2025-04-04,Wimbledon,London,Harnham,http://www.harnham.com,"Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com 
+
+Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. 
+
+Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.
+
+Our five core services:
+
+* ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a 
+
+* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
+
+* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
+
+* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
+
+* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.","MACHINE LEARNING ENGINEER NYC | HYBRID (3 DAYS ONSITE) $180,000 - $220,000 + EQUITYTHE COMPANY My client is an AI-powered cloud finance optimization platform, helping businesses cut cloud costs through automated rate optimization and AI-driven financial tools. Founded in 2023 and headquartered in NYC’s West Village, they operate on a flexible hybrid model.THE ROLE As the first dedicated ML Engineer, you’ll take ownership of model development and deployment across forecasting, anomaly detection, financial risk modeling, and LLM-based applications. This is a hands-on role working closely with backend engineers to integrate ML solutions into production.RESPONSIBILITIESBuild and optimize ML models for cost forecasting, anomaly detection, and financial risk modelingDevelop LLM-based applications for internal and customer-facing toolsDesign scalable data architectures to support AI/ML workflowsMaintain and improve cloud-based ML infrastructure (AWS, Terraform)REQUIREMENTSStrong Python skills (ML & data science libraries)Experience with AWS, Terraform, SQL, and ML frameworks (PyTorch, Hugging Face, LangChain, Llama)Solid software engineering background with data engineering experience4-5+ years in ML/AI/data engineering, ideally with a background in CS, Physics, or MathHands-on experience beyond model building—data pipelines, integration, and deploymentPREFERREDAWS certifications, GCP experience, C++, DevOps knowledgeExperience setting up data lakehousesHOW TO APPLYRegister your interest through the apply link or reach out to Jack Wolf directly",Mid-Senior level,Machine Learning Engineer
+850,2025-04-03,San Francisco,California,Notion,https://notion.com,"Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes? With Notion, they're all in one place, and totally customizable to meet the needs of any workflow. It's the all-in-one workspace for you, your team, and your whole company. 
+
+We humans are toolmakers by nature, but most of us can't build or modify the software we use every day — arguably our most powerful tool. Our team at Notion is on a mission to make it possible for everyone to shape the tools that shape their lives.","About UsWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.We've been working on this together since 2016, and have customers like Nike, Airbnb, Slack, Samsung and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.About The RoleMobile devices have reshaped personal computing—the power of a desktop now fits in our pockets. By giving everyone the building blocks to create their own tools, we'll solve more problems wherever we go. A delightful, intuitive mobile experience: that's our guiding light, and we need iOS engineers to make it a reality.What You'll AchieveYou'll work with the team to build new product features for our iOS app. This might include a better mobile typing experience.You'll improve the performance, reliability, and polish of our iOS app. This might involve rewriting a cache system to decrease startup time.You'll help build and improve internal tools with simplicity and productivity in mind. For example, you might write a script that makes it easier to deploy new versions of our apps.Skills You'll Need To BringThoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.Ability to ship quality apps at scale: You can work with a team to build and maintain quality iOS apps for a large audience. You're familiar with Swift or Objective-C and have handled UI, networking, and threading in those languages.Pragmatic and business-oriented: You care about the business impact of what you're building, and you prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line.Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.Team player: You understand when work is better, together. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.Nice To HavesYou've built or maintained apps for Android, using Kotlin or Java.You're proficient with other parts of our technology stack: React, TypeScript, Node.js, and Postgres.You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.You have interests outside of technology, such as in art, history, or social sciences.Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.",Not Applicable,"Software Engineer, iOS"
+851,2025-04-08,Boise,Idaho,Micron Technology,http://www.micron.com,"Micron is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence (AI) and compute-intensive applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more about Micron Technology, Inc. (Nasdaq: MU), visit micron.com.","Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious Machine Learning Engineer. Are you curious, high velocity, and ready to solve complex problems? Do you dream in data science and machine learning models? If so, we want you to join us! Our mission is to enable to deliver industry-winning machine learning solutions to power Micron’s dominance in the highly competitive memory solutions market.Qualified applicants for the Machine Learning Engineer role will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable pipelines to execute machine learning models. You will collaborate with Data Scientists, ML Engineers, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron’s manufacturing processes and systems. Responsibilities Include, But Not Limited ToData Analysis and ModelingAnalyze existing Micron data sets to identify patterns, trends, and insights that can enhance machine learning model development.Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality.Build knowledge by keeping up with latest advancements in machine learning and artificial intelligence (AI), integrating new techniques and technologies into our MLOPS development process.Data infrastructureBuild and maintain Data/Solution Pipeline Engineering to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models.Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models.Design and optimize data structures in data management systems (Cloud platforms - Snowflake, GCP, Azure) to enable AI/ML solutions. Model Deployment and MonitoringBuild custom software components and analytics applications. Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment.Implement strategies for deploying machine learning models into production environments.Responsible for selecting best model to meet both model performance and minimize compute costs.Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement.Generative AI Integration Strategy:Collaborate with the Product and Engineering teams to identify opportunities for integrating machine learning and Generative artificial intelligence capabilities into Project solutions/platform.Collaborate with the Product team to design a Tactical roadmap for the adoption of machine learning technologies, paradigms & frameworks following organizations best practices.CommunicationOutstanding analytical thinking, interpersonal, oral, and writtenAbility to prioritize and meet critical project timelines in a fast-paced environment.Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and accessible manner.Minimum QualificationsMaster's degree in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning.2+ years of experience in building and executing end-to-end ML systems automating training, testing, and deploying Machine Learning models in cloud platforms.2+ years of experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)2+ years of strong working knowledge of databases (Oracle, MSSQL, Snowflake, or BigQuery)2+ years building scalable ETL pipelines with big data processing and/or developing applications and data sources using (Airflow/Kubeflow/Dataflow)Strong programming skills in one of the following, Python or JavaExperience with continuous integration/continuous delivery (CI/CD) using tools (Jenkins, Git, Docker, Kubernetes, and containerization)Experience developing Machine Learning or Artifical Intelligence solutions with either PythonExperience in cloud platform technologies in either of GCP ,AWS, AZURESolid understanding of prediction (regression) and classification algorithms and familiarity with deep learning, reinforcement learning and generative AI.Understanding of Prompt Engineering, NLP, RAG Fine-Tuning using one or more of Langchain, DsPy, Semantic Kernel, Tensorflow, and Pytorch.Preferred QualificationsPhD in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning.Familiarity with Data architecture (data structures, data schemas, etc.).Deep knowledge of math, probability, statistics, and algorithmsDemonstrated ability to study and transform data science prototypes into production solutions.Knowledge of computer vision and/or signal processing including techniques for classification and feature extractionAs a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.To learn about your right to work click here.To learn more about Micron, please visit micron.com/careersFor US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.",Mid-Senior level,MACHINE LEARNING ENGINEER
+852,2025-03-27,Los Angeles ,,Paramount+,https://www.paramount.com/brand/paramount-plus,"Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world’s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming’s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.","Overview and Responsibilities:Paramount is looking for a Senior Machine Learning Engineer to join the team! The ideal candidate will be curious about applying machine learning! This includes deep learning sequence models, LLMs & reinforcement learning, and applying it to existing products and services to improve their efficiency and the overall user experience across our digital properties. In this role, you will apply datasets like traffic/video/consumption, purchase/subscription, and third-party sources to model, analyze, and predict user behavior. You will also take ownership of machine learning products from conception through delivery and monitoring.Responsibilities: Craft and develop highly scalable and reliable machine learning solutions to improve user experience Overcome engineering challenges with deploying machine learning solutions at scale Investigate new ways machine learning can improve products and determine viability of solutions Keep up with machine learning research and commercial product offerings across a wide variety of machine learning fields including NLP, recommendations, image and video Participate in design and code reviews Effective communication is important as this is a distributed team Pioneer new product ideas for how machine learning can improve products and take ownership from inception through implementation Deliver recommendations across Paramount and PlutoTV platforms that serve millions of customers daily Work on innovative online inference solutions applying machine learning to both video and personalization presentations Curate our content platform to craft and develop sophisticated products to collect, transform and enrich data in a fast, scalable and reliable way for ourselves and our customersBasic Qualifications: 2+ years experience bringing machine learning software products to production Lead on design and optimization of Online inferencing and developer experience MA/MS in Statistics/Data Science/Computer Science or related quantitative subject areas with specialization in data mining or machine learning techniques Knowledge of both supervised and unsupervised machine learning techniques in major types of approaches that they should be familiar with LTR (Learning to rank), Transformer Architectures, Sequences models for offline and online inference Have full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products Kubernetes - must know basics, APIs - good working knowledge, Message Queues (PubSub) - good working knowledge, and distributed processing like Ray and large DBs like BigQuery Proficiency in Python and associated machine learning packages is a must Python, Tensorflow and/or PyTorch, (tensorflow preferred), experience with a Python web framework (Django/Flask) is preferred TFServing, TF Servables or TorchServe experience SQL skillsAdditional Qualifications: Go or Java experience Communicate concisely and persuasively with engineers and product managers Experience with Tensorflow Extended (TFX), KubeFlow and related tools Experience using project management tools like those from Atlassian (JIRA, Confluence) Familiarity with version control systems (Git and Bitbucket) Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs) Background in Deep Learning for personalization is a plus Familiarity with Kubernetes and cloud deployments Experience with elasticsearch Desire to contribute to the open-source community (i.e., blogs, source code, etc)Join the Paramount Streaming Talent Community! Get the inside scoop on life at Paramount Streaming and about career opportunities.Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world’s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming’s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.Paramount is an equal opportunity employer (EOE) including disability/vet.At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.",Mid-Senior level,Senior Machine Learning Engineer
+853,2025-04-04,London,London,Google DeepMind,https://www.deepmind.google,"We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
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+Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). 
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+Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.
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+We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.","SnapshotAre you an experienced Applied Data Scientist (3+ years of experience) excited to use strong technical and analytical skills to power our mission to bring the benefits of AI to the world?Join Google DeepMind’s Core Analytics Team! Working closely with our Generative AI/Gemini org, you will bring a data lens to strategic business problems around compute and infrastructure strategy, directly enabling our frontier research and product development efforts.This role focuses on leveraging data science techniques – particularly advanced SQL, Python for analysis, and statistical methods – to drive strategic decisions and generate insights, rather than deep machine learning model development.About UsGoogle DeepMind: Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.Core Analytics Team: The Core Analytics Team (CAT) are a full stack data science team that organise, model, and deploy data to guide Google DeepMind strategy & decisions, blending our technical skillset with rich stakeholder relationships to deliver impact.The roleWe are looking for an experienced Applied Data Scientist who is skilled at and motivated by translating ambiguous business problems into structured, data-driven analyses that drive organisational decisions and change. This role will specialise in the area of compute management, exploring areas like the efficiency of our accelerators and infrastructure, cost optimization, and capacity planning.You will be embedded within the problem domain, working closely with GenAI/Gemini technical program managers, engineers, and leadership to understand their challenges, formulate key questions, and deliver timely insights.Key responsibilitiesStrategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact analytical questions related to compute and infrastructure strategy.Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights, model trends, and answer complex questions about efficiency, usage patterns, and strategic investments.Data Storytelling & Communication: Translate complex analytical findings into clear, compelling narratives and actionable recommendations for diverse audiences (technical and non-technical) through presentations, reports, and dashboards.Enablement & Monitoring: Develop and maintain tools (dashboards, reports) to provide ongoing visibility into key compute metrics and empower stakeholders with self-service analytics where appropriate.Identify Data Needs: Collaborate with engineering and product teams to highlight data gaps and advocate for the collection of telemetry needed to improve future analyses and decision-making.Team Contribution: Share knowledge, contribute to the team's analytical roadmap, and help improve our overall processes and best practices.What We Can Offer You:Direct Strategic Impact: Your analysis and recommendations will directly inform critical decisions about Google DeepMind's compute resources and infrastructure investments, influencing our ability to achieve our mission.Deep Domain Expertise: Opportunity to become a subject matter expert in the rapidly evolving and critical domain of AI compute and infrastructure.Leadership Exposure: Work closely with senior leaders and key decision-makers, honing your communication and influencing skills.Collaborative Environment: Be part of a supportive and highly skilled data & analytics group, learning from peers and contributing to a culture of analytical excellence.About YouWe're looking for an experienced data professional (3+ years of experience as a e.g. Data Scientist, Data Analyst, Quantitative Analyst, Product Data Scientist) with a proven ability to translate complex business or operational challenges into impactful data-driven solutions and strategic recommendations. You thrive on diving deep into data, excel at communicating insights clearly, and are motivated by seeing your analytical insights, developed through close collaboration with partners, directly influence critical decisions.Essential Skills:Analytical Problem Solving: Proven ability to understand ambiguous problems, formulate key questions, and design/execute appropriate analytical approaches.Advanced SQL for Analysis: High proficiency in using SQL to extract, manipulate, aggregate, and analyze complex datasets from various sources to answer business questionsStakeholder Management & Communication: Strong track record of building relationships, collaborating effectively, and presenting complex findings and recommendations clearly and persuasively to diverse audiences, including senior leadership. Experience in ""data storytelling.""Applied Statistics/Quantitative Skills: Solid understanding and practical application of statistical concepts for analysis (e.g., hypothesis testing, regression, forecasting).Delivery & Execution: Ability to manage multiple analytical projects simultaneously, prioritise effectively, and deliver high-quality insights in a dynamic environment. You are comfortable working independently and taking ownership.Useful Skills:Domain Interest/Experience: Experience with or a strong interest in cloud compute metrics, large-scale infrastructure, hardware accelerators (GPUs/TPUs), or related technical domains.Python for Data Analysis: Proficiency in Python and common data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Matplotlib/Seaborn).Data Visualization/Dashboarding: Experience creating effective dashboards and visualizations using tools like Tableau, Looker, Google Data Studio, or similar.Analytics Engineering: Experience designing and implementing ELT workflows (using tools like dagster, dbt)Coaching/Mentoring: Experience mentoring others in analytical techniques or tools.If you don’t think you embody all of the above criteria, please still seriously consider applying! This role (and therefore the requirements) is broad, and we’d be excited to discuss how you see yourself contributing across it.The US base salary range for this full-time position is between $122,000 - $186,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.Application deadline: Sunday 18th April, 2025Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.",Associate,Applied Data Scientist – Compute & Experimentation
+854,2025-04-04,Foothill Ranch,California,"Gatekeeper Systems, Inc.",http://www.gatekeepersystems.com,"Gatekeeper Systems’ expanded product suite of intelligent cart solutions offers solutions for EVERY retailer’s needs to minimize merchandise loss and reduce asset and labor expenditures.
+Gatekeeper’s loss prevention and cart containment solutions utilize patented locking technology to put an end to cart-based shoplifting, shopping cart loss, and uninformed decision-making. Cart management solutions increase safety and reduce labor costs by maximizing productivity while simultaneously resulting in a positive store image.
+Intelligent pushout theft prevention solutions stop thieves and their cart full of unpaid merchandise from leaving the store. Customizable technology allows retailers to defend their entire store or just a high loss department based on the store’s unique layout.
+Business Intelligence solutions provide increased visibility for informed decision making. Increase efficiency, optimize fleet size, and perfect the entire customer shopping experience with store and enterprise-level analytics.
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+Contact 888.808.9433 or info@gatekeepersystems.com to learn more.
+","Gatekeeper Systems  stands proudly as the foremost global leader in retail loss prevention, operations management, and analytics, with our headquarters based in Foothill Ranch, California. We maintain a strong presence across the globe, with offices in the UK, Australia, China, Hong Kong, Germany, France, and Canada, fostering a diverse team of 450 talented employees. Over the past 25 years, Gatekeeper Systems has been at the forefront of the industry, demonstrating our commitment to excellence through cutting-edge technologies and unparalleled customer service.Join us on our journey as we continue to revolutionize the retail sector, providing innovative solutions and services that redefine industry standards. POSITION SUMMARY: We are looking for a highly skilled Machine Learning and Artificial Intelligence Engineer to design, develop, and implement AI-driven solutions that enhance our products and services in the Retail Theft Prevention domain. The ideal candidate should have a strong background in machine learning, with expertise in both supervised and unsupervised methodologies. A solid understanding of traditional machine learning techniques such as decision trees and SVNs, as well as deep learning approaches, is highly preferred.A key advantage would be the ability to optimize machine learning models for efficient deployment on edge devices, ensuring performance and scalability in real-world environments. Additionally, experience in data transformation and preprocessing is desirable, particularly the ability to structure and adapt data for seamless integration with machine learning models.This role offers the opportunity to work on cutting-edge AI solutions that drive innovation in computer vision, anomaly detection, and predictive analytics within the retail security landscape.What We Offer…Join the team at Gatekeeper Systems and watch your career grow! We offer competitive compensation and benefits packages that include: Attractive Total Compensation Package, including annual bonus  Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options.  401(k) Plan with Employer Match  Generous Paid Time Off (PTO) policy  Observance of 11 paid company holidays  Various Employee Engagement Events  Exciting Growth Opportunities  Positive Company Culture  ESSENTIAL JOB FUNCTIONS; but not limited to:  Design and implement real-time object detection, tracking, and classification solutions using machine learning and computer vision techniques.  Optimize models for real-time processing on various platforms, including edge devices, cloud-based systems, and embedded hardware, ensuring low-latency performance.  Develop and manage end-to-end machine learning pipelines to automate and optimize data curation, preprocessing, and model training workflows.  Implement automation tools and monitoring frameworks to track model performance, detect anomalies, and streamline updates.  Design, develop, and deploy unsupervised machine learning models to identify anomalies and irregular patterns in system operations, data streams, or user behavior  Design and implement models to detect, diagnose, and resolve system issues. Qualification RequirementsThe requirements listed below are representative of the knowledge, skill and/or ability required. Strong knowledge of algorithm development and data structures.  Proficiency in TensorFlow Lite and model quantization.  Ability to thrive in a fast-paced environment and handle complex, evolving requirements.  Track record of innovative problem-solving and a willingness to explore unconventional approaches.  Exemplifies professionalism in all aspects of day-to-day duties and responsibilities.  Self-aware and open to learning about personal effectiveness in the workplace.  Exhibits a positive attitude toward the vision, policies, and goals of Gatekeeper Systems.  Constantly strives to improve performance and effectiveness of the team and the company. Education And/Or Experience Master’s degree (preferred) in CS, CE, ML or related field experience  3+ years of building models for edge deployment for camera-based object detection and classification  Experience programming in Python (preferred) or C/C++  Experience with deep learning frameworks like PyTorch or TensorFlow.  Experience working with MobileNetV2 and YOLOv8 models.  Experience with Google Cloud Platform and cloud-based AI workflows.  PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Repetitive motions and routine use of standard office equipment such as computers, telephones, copiers/scanners and filing cabinets.  Ability to see, speak, walk, hear, stand, use of hand/fingers to handle or feel; climb stairs, stoop, carry/lifting up to 5O lbs.  Ability to sit at a desk.  Specific vision abilities required include close vision, color vision, peripheral visions, depth perception and the ability to adjust focus.  DISCLAIMER This Job Description is a general overview of the requirements for the position. It is not designed to contain, nor should it be interpreted as being all inclusive of every task which may be assigned or required. It is subject to change, in alignment with company/department needs and priorities. Gatekeeper Systems, Inc., is an equal opportunity employer. We are committed to developing a diverse workforce and cultivating an inclusive environment. We value diversity and believe that we are strengthened by the differences in our experiences, thinking, culture, and background. We strongly encourage applications from candidates who demonstrate that they can contribute to this goal. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any protected basis.",Mid-Senior level,Machine Learning & AI Engineer
+855,2025-04-09,Alexandria,VA,"Modern Technology Solutions, Inc. (MTSI)",http://www.mtsi-va.com,"Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and technology solutions company delivering first-choice capabilities to solve problems of global importance in the critical mission areas of missile defense, cyber security, intelligence, unmanned/autonomous systems, aviation, space, and homeland security.  
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+The MTSI mission is to make important and lasting contributions to the nation's defense and security by providing leadership and best- value solutions to solve America's most technically challenging strategic problems. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide. 
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+For more information about MTSI, please visit www.mtsi-va.com.
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+For current MTSI job openings, please visit www.mtsi-va.com/careers.","Own Your Future.  Modern Technology Solutions, Inc. (MTSI), is seeking a AI / ML Data Scientist to lead modeling, simulation, and analytical efforts related to kinetic weapon system concepts in Huntsville, Alabama. Why is MTSI known as a Great Place to Work?Interesting Work:  Our co-workers support some of the most important and critical programs to our national defense and security.  Values: Our first core value is that employees come first.  We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry. 100% Employee Ownership: we have a stake in each other's success, and the success of our customers.  It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year.  Great Benefits - Most Full-Time Staff Are Eligible for: Starting PTO accrual of 20 days PTO/year + 10 holidays/yearFlexible schedules6% 401k match with immediate vestingSemi-annual bonus eligibility (July and December)Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement accountUp to $10,000 in annual tuition reimbursementOther company funded benefits, like life and disability insuranceOptional zero deductible Blue Cross/Blue Shield health insurance planTrack Record of Success:  We have grown every year since our founding in 1993Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.  MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide. For more information about MTSI, please visit www.mtsi-va.com. Job DescriptionWe are seeking a highly motivated and experienced AI/ML Engineer Scientist to join our team in Colorado Springs, working with the Missile Defense Agency.  The ideal candidate will have a strong background in artificial intelligence, machine learning, data analytics, and modeling and simulation.  They will be responsible for developing and implementing advanced AI/ML solutions to address complex defense challenges and contribute to the advancement of our products and services.  This role requires a combination of strong theoretical understanding, practical implementation skills, and a passion for innovation.Responsibilities:Architect, design, and implement scalable AI/ML computing infrastructures, applications, and systems.Design, develop, and implement AI/ML algorithms and models for DoD applications such as command and control, situational awareness, machine autonomy, munitions guidance and targeting, image recognition, and electronic warfare.Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.Run machine learning tests and experiments, documenting findings and results.Conduct data analysis and feature engineering to prepare data for model training and evaluation.Build and maintain data pipelines for efficient data ingestion, processing, and storage.Develop and implement model evaluation metrics and monitor model performance.Evaluate and implement the latest advancements in AI/ML, data mining, and analytics, and explore new technologies and techniques.Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems and workflows.Document and communicate research findings, model development processes, and implementation details.Contribute to the development of internal tools and libraries to enhance the efficiency of the AI/ML team.Mentor junior team members and share knowledge and expertise.Participate in code reviews and ensure the quality and maintainability of the codebase. Qualifications:Master's degree or PhD in Physics, Computer Science, Statistics, Mathematics, or a related field.7 years of experience in developing and implementing AI/ML solutions in a professional setting.Strong foundation in programming (Python), machine learning algorithms, and relevant frameworks such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.Highly skilled in statistics, with the ability to assess, analyze, and organize large datasets.Experience with cloud computing platforms such as AWS, Azure, or GCP.Proficiency with data visualization tools and techniques.Solid understanding of statistical modeling, machine learning algorithms, and deep learning architectures.Experience with modeling and simulation techniques.Excellent problem-solving and analytical skills.Strong communication and collaboration abilities.Bonus Points:Demonstrable experience with AFSIM, including model development, integration, and analysis.Experience with MLOps and deploying models to production.Experience with big data technologies such as Spark and Hadoop.Contributions to open-source projects related to AI/ML.Publications in peer-reviewed conferences or journals. ",Mid-Senior level,AI/ML Data Scientist
+856,2025-04-01,Mountain View,California,Intuit,https://www.intuit.com/,"Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief.
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+We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations. ","OverviewJoin the Customer Data Platform (CDP) group as a Backend Software Engineer developing the core of customers insights for analytics, reports, GenAI and much more. If you love having stretch goals, real world challenges, and making customers incredibly happy whilst fostering your obsessive need for perfect code and user experience, this is the job for you.Join our innovative team to help build the next generation of awesome products andexperiences using cutting edge technology. You will collaborate with many teams in Intuit.We love engineers who lead the change, understanding the customers needs and delivering the most beautiful and intuitive applications.What you'll bring2+ years’ experience developing web applications at scaleExperience with:Large-volume data pipelinesWeb services (consuming or creating) with RESTBackend software development using Kotlin, Java Spring, or Spring-Boot to expose and consume RESTful web servicesUnit testing frameworks and mockingAt least one big data technologies e.g. kafka, flink, cassandra, redshift, bigqueryNoSQL and relational databasesKubernetes & DockerMicroservices architectureSelf-starter with a strong work ethic and a passion for problem-solvingA lead - not just technically skilled, but able to drive a project E2E and deliver it. Having a direct impact on the end-productSolid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiencesExperience working with cross-functional teams while maintaining effective working relationshipsBonus point:KotlinOpen SearchRed ShiftHow you will leadYou need to be self-motivated, proactive and a contributor of codeBe Agile, you will need to develop both BE and FE by the business needs and in high qualityAutomate processes, create tools, and build features that will improve everyone's experience with our data pipeline infrastructureBe able to read any code in an existing codebase and change itBuild and maintain strong cross-functional relationships /alignment with partners across the businessGathering functional requirements, developing technical specifications, and project and test planningAbility to work effectively in a fast paced, complex technical environment with high adaptability and flexibilityIdentify gaps and build a roadmap on how we can improve, keep a day one mindset.Communicates clearly and persuasively to all levels of employees, customers and managementWorking cross-functionally with various Intuit teams: Product Management, Experience Design, different product lines, or business units to drive forward results",Associate,Software Engineer 2
+857,2025-04-03,New York,New York,Flip,https://flipcx.com/,"Flip CX is a software company that offers an Alexa-like voice AI experience for businesses to optimize their phone channel for better customer service. 
+
+Flip CX is backed by Amazon Alexa, Ada, Simon, Attentive, Scop Venture Capital, Bullpen, and Forum Ventures.","REPORTING TO: Chief Technology OfficerLOCATION: NYC (Onsite M-F)Who The Flip Is Flip?Ever have a bad experience calling customer service? We're changing that!Flip replaces old customer service phone robots with a modern voice AI experience for over 200 of your favorite brands on the planet. We support companies within eCommerce and Transportation and have another vertical in incubator stages. Our software talks to millions of people weekly and has helped 200M+ callers so far.Our growth is inevitable as only 1% of companies have adopted this technology today and yet everyone agrees it is obvious. We aim to lead this change and focus on winning within our verticals, one at a time.Flip is a profitable, fast-growing and a well-funded 40-person startup. We are in-office, with spaces in NYC, LA, and the UK. Our team is the most important and best thing we've built.What You'll DoWe are looking for a few great product engineers (backend software engineers that love building products) to join us in creating the next generation of our over-the-phone voice assistant.At Flip, you'll create user experiences, features, and oversee whole segments of the Flip assistant. You'll also get into the data, listen to our customers, and help shape the direction of the product. We have a few excellent senior engineers already on the team, one of which will become your direct mentor!Who You Are, As An EngineerGood on the backend, especially with your Python experience - we're almost all backend here, because voice products have no GUI!Your engineering level: early mid-level up to 'nearing senior in a year or two'The product is what we're working on - not theoretical engineering perfection! :) You care about the customerWho You Are, As A PersonLooking to go all-in, learn a lot, and do the best work of your career (so far!)Put in the time, and put out work you're proud ofCommunicate well, and embrace ownership, speed, & occasional uncertaintyEager and willing to support your teammates - just like they will with you!BonusesKnow what it looks like to work at a startup, and have an entrepreneurial driveExperience building Voice products - but we can teach you this too :)Work onsite in our NYC office! Our NYC office has a blend of Product, Engineering, Customer Success and GTM More About UsWe're international, spanning the US, UK, and CanadaOur tech stack includes Python, MongoDB, AWS, Twilio, Datadog, Snowflake, and OmniWe are backed by ScOp Venture Capital, Bullpen Capital, and Forum Ventures, as well as founders & executives from Amazon Alexa, Ada, Attentive, and SimonComprehensive healthcare and unlimited vacation, including a mandatory half week for everyone over July 4, and a full week off at the end of the yearOur customers span the globe, and so do our offices. Flip is committed to providing equal employment opportunities for all employees, applicants, and covered individuals regardless of protected characteristics. We want our company to be as diverse and inclusive as our customers.",Entry level,Software Engineer
+858,2025-04-03,San Francisco,California,Arable,http://www.arable.com,"Arable is leading the global advancement of sustainable agriculture by transforming agronomic decision-making through cutting-edge technology. Forward-thinking organizations in over 50 countries rely on Arable to help them be more productive and sustainable.
+
+The company’s intuitive solution integrates state-of-the-art IoT technology, machine learning, and advanced modeling to convert in-field weather, crop, soil, and irrigation data into real-time, actionable insights. Users are empowered to make informed, proactive decisions that reduce risk and optimize agricultural practices.
+
+Focused on shaping the industry's future, Arable powers transformative initiatives such as large-scale irrigation optimization that conserve hundreds of millions of gallons of water, and agricultural weather intelligence networks supporting thousands of underserved smallholder farmers.
+
+Arable is venture-backed by Galvanize Climate Solutions, Qualcomm Ventures, Prelude, S2G, Ajax Strategies, Grupo Jacto, Middleland, M2O, and iSelect.
+
+For more information, visit www.arable.com.","Come work alongside some of the most talented minds in the agtech industry. We are a team of innovators who are accelerating the digitization and sustainability of our planet’s food system. At Arable, you will have the unique opportunity to build something meaningful with an amazing group of people who care about each other and their work.What we do:At Arable, our goal is to connect all the world’s farms to help optimize the global food system. This is an ambitious goal, but the need has never been greater to rethink how we will feed an ever-growing population and reduce our impact on natural resources. We believe the heart of the solution is digitizing the analog world with high-fidelity data to help food producers optimize their operations. We hope the impact of our work will improve the lives of farmers everywhere and be a major contribution to securing the global food supply for decades to come.A few examples of the work we’re doing today:Helping farmers in India and Mozambique adapt to the effects of climate change on their farms with novel data-driven crop insuranceGiving produce growers in California the tools to optimize production and minimize wasteHelping irrigated farms in Nebraska manage water more efficiently and sustainably to protect our water supplyWhat We're Looking For:Arable Labs seeks an experienced and insightful Principal Data Scientist to join our mission-driven team, reporting to the Head of Data Science. Our work leverages unique, high-fidelity field data to provide critical insights for global agriculture and environmental monitoring. In this key role, you will apply your deep expertise in machine learning, statistical modeling, and software engineering to solve complex challenges in agricultural water management. You will lead the development of core predictive models, drive innovation through applied research, and see your work contribute directly to farm sustainability and resource efficiency, often supported by broader corporate environmental initiatives. We need a hands-on technical leader passionate about tackling meaningful problems and translating data into real-world impact.Where You'll Make an Impact:Significantly improve models that help farmers optimize irrigation, conserve water, and understand field conditions (e.g., rainfall, evapotranspiration, water balance)Advance Arable's predictive capabilities through the application of novel ML techniques and sensor data analysisContribute directly to tools supporting climate resilience and sustainable practices in agricultureWhat You Will Do:Lead End-to-End Model Development: Drive the full lifecycle of core machine learning models – from research, prototyping, and validation to deployment (Python, Docker, Flask, AWS/SageMaker) and ongoing performance monitoring and improvement. Key areas include water balance, ET, rainfall, and irrigation insightsConduct Applied Research & Innovation: Identify opportunities and execute applied R&D projects to enhance model accuracy, leverage new data sources (internal sensor streams, external weather data), and develop novel predictive features, balancing exploration with pragmatic deliveryCollaborate for Impact: Work closely with cross-functional teams – Product (defining requirements, translating features), Sensors/IoT (understanding data, calibration and validation), and Software (API integration, production pipelines) – to ensure data science solutions effectively meet business and user needsEnsure Solution Quality & Provide Expertise: Uphold high standards for model performance and data integrity through rigorous validation, anomaly detection, and addressing operational analytical needs. Serve as a subject matter expert in your domain areas and contribute to the team's technical strategy and best practices, potentially mentoring junior membersRequired Experience and Skills:MS or PhD in a quantitative field or equivalent deep practical experience5-8+ years relevant hands-on experience developing & deploying ML/DS solutionsML & Statistical Depth: Strong theoretical understanding and practical expertise in machine learning (especially time-series), statistical modeling, and validation techniquesR&D Acumen: Demonstrated ability to conduct applied research, tackle ambiguous problems, and deliver impactful, data-driven solutionsTechnical Implementation: Proficiency in Python for data science (NumPy, pandas, scikit-learn, etc.), strong software engineering practices (Git, testing, docs), and experience deploying models via APIs (Flask) using containers (Docker) on cloud platforms (AWS)Communication & Collaboration: Excellent ability to communicate complex concepts clearly and collaborate effectively within a cross-functional environmentPreferred Experience and Skills:Domain Knowledge: Background or strong interest in agriculture, hydrology, meteorology, soil science, or related environmental sciencesSensor Data & Techniques: Experience with real-world IoT sensor data (including CalVal), anomaly detection, and leveraging external datasets (weather, geospatial)Startup Environment: Proven ability to thrive and take ownership in a fast-paced, dynamic startup settingAWS ML Ecosystem: Deep familiarity with AWS services, particularly SageMakerMentoring: Experience guiding or mentoring other technical team membersLocation: United States based; SF Bay Area preferred, but remote US is possible.What we offer:At Arable, you will be joining a company of dedicated team players who bring together diverse expertise and a passion for building a more sustainable future. We are a fast-moving startup committed to providing a rewarding employee experience through the work we do, the team, compensation, and benefits, including:Excellent medical, dental, vision, and a 401k programFlexible PTOA focus on community involvement and career developmentBeing a part of creating innovative new products that have a positive impact on the worldAt Arable, we don't just accept difference—we celebrate and support it. Not only because it's the right thing to do but because we draw on the differences in who we are, what we've experienced, and how we think to make Arable thrive. Arable is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, gender expression, protected veteran status, and any other characteristic protected under applicable State or Federal laws and regulations.",Not Applicable,Principal Data Scientist
+859,2025-03-19,New York,,Rokt,http://www.rokt.com/,"Rokt is the global leader in ecommerce, unlocking real-time relevancy in the moment that matters most. The company's AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world’s leading companies, including Live Nation, Macy’s, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh. mParticle by Rokt is the central nervous system providing real-time data activation to unlock value across ecommerce, advertising and customer engagement. Rokt has achieved consistent annual growth of more than 40% across the past decade, driven by its unique partnership model that returns $7 from every $8 of value back to partners. Rokt is headquartered in New York City. The company has offices in 10 global locations and serves clients throughout North America, Europe, and Asia-Pacific, solidifying its position as a key player in the global ecommerce ecosystem. To learn more, visit Rokt.com.","We are Rokt, a hyper-growth ecommerce leader. We enable companies to increase value by unlocking real-time relevancy in the moment that matters most, when customers are buying. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world's leading companies. In January 2025, Rokt's valuation increased to $3.5 billion USD, allowing us to expand rapidly across 15 countries.The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt'stars constantly strive to raise the bar, pushing the envelope of what is possible.We are looking for a Senior Machine Learning EngineerTotal Compensation between: $375,000 - $514,000, which includes a fixed annual salary between $250,000-$315,000, employee equity plan grant & world class benefits.As a Senior Machine Learning Engineer, you have expertise in modeling, statistics, and programming. You will work with our engineering and product teams to design, build, and produce proprietary machine learning models to solve different business challenges, including user targeting and segmentation, dynamic Ads content generation, entity embeddings and recommendation models.About The RoleWork on a variety of Machine Learning projects in the Ads recommendation domain: user segmentation and targeting, user embeddings generation, Gen AI driven Ad content generation.Leverage the latest Generative AI techniques to dynamically create engaging Ad content and model features.Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions.Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc.Contribute and maintain the high quality of code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc.Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modeling ideas, and conduct offline and online experiments.Mentor other team members, facilitate within/across team workshops and lead the agile development.RequirementsAbout you:Bachelor's degree in Computer Science, a similar technical field of study or equivalent practical experience. A PhD degree in Machine Learning or Deep Learning is a plus.3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring. Industry Experience in applied ML in Ads is a plus.2+ years of industry experience in software engineering roles and development experience in Python, Golang, Java, and/or other programming languages.Concrete experience working with deep learning frameworks, either TensorFlow or Pytorch.Experience working on Generative AI initiatives.Strong understanding of software engineering best practicesBe motivated, self-driven in a fast (we truly mean fast) paced environment with a proven track record demonstrating impact across several teams and/or organizations.Ability to communicate and collaborate effectively with business stakeholders and manage tasks in a timely manner.At Rokt we encourage autonomy; teams have complete ownership of their systems including building, running and monitoring. As such, you may be required to be on-call and respond to systems alerts should they arise.Ideas, opinions, and the ability to share them through respectful proposals, presentations, and team-wide discussions, An eagerness to work and learn in the open and share your learnings with your teammates.BenefitsAbout Rokt'stars:As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better.About The BenefitsWe leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:Accelerate your career. We offer roadmaps to leadership and an annual $10,000 training allowanceBecome a shareholder. Every Rokt'star gets equity in the companyEnjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us! Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance for your entire family!Dog-friendly officeExtra leave (bonus annual leave, sabbatical leave etc.) Work with the greatest talent in townSee the world! We have offices in New York, Seattle, Sydney, Tokyo and LondonWe believe we're better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also get that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere.We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team.",Mid-Senior level,Senior Machine Learning Engineer
+860,2025-04-05,Biberach,,Liebherr Group,http://www.liebherr.com,"Established in 1949, the Liebherr Group today is not only one of the biggest construction equipment manufacturers in the world, but also offers high-quality, user-oriented products and services in many other areas. The family-run technology company employs nearly 50,000 people in over 150 companies worldwide.
+Liebherr’s product range includes the segments Earthmoving, Deep Foundation Machines, Mobile and Crawler Cranes, Tower Cranes, Concrete Technology, Material Handling Technology, Mining, Maritime Cranes, Aerospace and Transportation Systems, Gear Technology and Automation Systems, Refrigeration and Freezing, Components as well as Hotels in Ireland, Austria and Germany.
+The Group’s parent company is Liebherr-International AG located in Bulle, Switzerland, which is entirely owned by members of the Liebherr family. 
+Career possibilities can be found online: https://www.liebherr.com/en/deu/career/career.html
+
+Imprint:https://www.liebherr.com/en-de/group/disclaimer/imprint-3705178","The Machine Learning Engineer develops algorithms used to analyze and predict system / component health, machine performance, and application metrics for large mining haul trucks.ResponsibilitiesDevelops real time and post processing algorithms used to analyze machine data for failure prediction of electrical and mechanical equipment used on large mining haul trucks.Develops algorithms used to analyze machine performance, efficiency, and application metrics.Creates documentation to describe algorithm design.Interfaces with other groups (Mechanical, Electrical, Software, Hydraulic, etc.) to create specifications that outline algorithm functions.Evaluates alternative Machine Learning tools and models.Works independently and as a team member with other engineers, designers, and production personnel or on ad hoc projects.Participates in Engineering Development Program.CompetenciesEducation and Experience: A Master of Science Degree or Master of Engineering Degree (M.S. / M.E. in Computer Science, Computer Engineering or similar) is preferred, or a Bachelor of Science Degree (B.S. in ComputerScience, Computer Engineering or similar).Ability to apply various techniques such as linear regression, classification, random forest, neural networks and other techniques to derive algorithms.Knowledge of a broad set of algorithms and applied mathematical techniques.Knowledge of probability and statistics.Knowledge of Big Data techniques and tools.Knowledge of high-level software languages (e.g. Java, C/C++, etc.).Knowledge of scripting languages (e.g. MATLAB, Python, Bash, etc.).Knowledge of unit testing and software validation techniques.Knowledge of source control systems (e.g. Git, Subversion).Ability to work with software configuration management processes and workflows preferred but not required.Knowledge of software development standards/guidelines (e.g. CMMI) preferred but not required.Knowledge of heavy machinery or automotive preferred.Ability to write specifications that describe software function.Ability to read and interpret documents such as safety rules, operating and maintenance manuals, and procedure manuals, software specifications.Knowledge of Agile and Waterfall software development lifecycles and V-model methodology and their required workflows and tools.Is expected to travel nationally and internationally up to 20% to customer sites, supplier sites, or regional proving grounds.Ability to complete and maintain mine certifications or safety training such as Mine Safety and Health Administration (MSHA) hazard training.Ability to obtain and maintain driver’s license and passport.Our OfferAn interesting and ambitious role in a successful international company. We offer a secure work environment with a comprehensive benefits package that includes major medical, dental and vision insurance, 401K plan with company match, paid vacation and personal days and competitive salary.Referral Bonus: Tier IHave we awoken your interest? Then we look forward to receiving your online application. If you have any questions, please contact Thomas Steele.Liebherr-America, Inc. and its US affiliates are Equal Opportunity Employers. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.If you are a California resident, please visit  Liebherr USA, Co. Privacy Statement for more information regarding how Liebherr-America, Inc. and its US affiliates collect and process your personal information.One Passion. Many Opportunities.The companyIn line with its international growth, Liebherr’s venture into the United States began in 1970. Within a couple of years, the company expanded and completed its production facilities in Newport News, Virginia, for its product line of hydraulic excavators. It was later converted into Liebherr’s manufacturing facility for mining trucks and remains home to Liebherr Mining Equipment Newport News, Co. In addition to its production facility, Liebherr markets a wide variety of products and technologies its companies located across the United States. The companies are Liebherr-Aerospace Saline, Inc., Liebherr Gear Technology, Inc., Liebherr Automation Systems, Co., and Liebherr USA, Co., the umbrella company for eight divisions that are positioned across the United States.LocationLiebherr Mining Equipment Newport News Co.4100 Chestnut Avenue23607 Newport News, VAUnited States (US)ContactThomas Steeletrey.steele@liebherr.com",Entry level,Machine Learning Engineer
+861,2025-04-07,Philadelphia,PA,Children's Hospital of Philadelphia,http://www.chop.edu,"Since its start in 1855 as the nation's first hospital devoted exclusively to caring for children, The Children's Hospital of Philadelphia has been the birthplace for many dramatic firsts in pediatric medicine. The Hospital has fostered medical discoveries and innovations that have improved pediatric healthcare and saved countless children’s lives.
+
+Today, The Children's Hospital of Philadelphia is one of the leading pediatric hospitals and research facilities in the world. Our 150 years of innovation and service to our patients, their families and our community reflect an ongoing commitment to exceptional patient care, training new generations of pediatric healthcare providers and pioneering significant research initiatives.","SHIFT:Day (United States of America)Seeking Breakthrough MakersChildren’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation.At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career.CHOP’s Commitment to Diversity, Equity, and InclusionCHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children.We strongly encourage all candidates of diverse backgrounds and lived experiences to apply.A Brief OverviewThe Campbell Laboratory at the Children’s Hospital of Philadelphia is seeking a Machine Learning Engineer to help advance our mission to diagnose rare genetic diseases more quickly and accurately. We develop and train large language models (LLMs) to better understand clinical data from the electronic health record (EHR) and to identify ways to facilitate accurate, equitable diagnoses for every child—especially those from historically marginalized backgrounds.As a Machine Learning Engineer, you will work closely with data scientists, clinicians, and other researchers to design, implement, and scale state-of-the-art machine learning workflows. You will utilize our on-premises GPU/SLURM cluster and cloud-based TPU instances (Google Cloud) to train and deploy LLMs using Hugging Face Transformers, PyTorch, and JAX. This role combines robust software engineering practices with advanced machine learning and natural language processing (NLP) techniques, with a focus on reproducibility and high-quality code.Our innovative and interdisciplinary environment values diversity, fosters professional growth, and drives impactful research that benefits children worldwide. If you are passionate about building robust machine learning systems, enjoy working on high-impact problems, and thrive in a collaborative research environment, we encourage you to apply.What You Will Do Configure and utilize on-premises SLURM cluster with GPU resources to ensure efficient and reliable job scheduling for large-scale model training. Manage and optimize cloud-based infrastructures (e.g., TPU Pods on Google Cloud) for distributed model training and evaluation. Collaborate with data scientists to implement and fine-tune LLMs (e.g., Transformer architectures in PyTorch, TensorFlow, or JAX) for clinical and biomedical NLP tasks. Develop efficient training pipelines, including data loading, preprocessing, feature extraction, and model deployment. Evaluate model performance and optimize hyperparameters, GPU/TPU utilization, and distributed training strategies. Collaborate cross-functionally with clinicians, data scientists, analysts, and IT teams to support and enhance machine learning operations (MLOps). Work with relational databases (e.g., Snowflake, BigQuery, Oracle SQL, MySQL) and distributed storage systems to access and manage EHR data. Partner with data scientists and domain experts to design data pipelines that integrate with existing hospital systems. Write clean, well-documented, and maintainable code following best practices Contribute to shared code repositories using Git, ensuring reproducibility and version control for collaborative projects. Develop CI/CD workflows to automate model testing, containerization, and deployment to production environments. Monitor deployed models for performance drift, latency, and reliability, and implement automated alerts and feedback loops to refine model behavior. Produce clear technical documentation, including system architecture diagrams, training procedures, and user guides for internal stakeholders. Present engineering best practices, findings, and process updates to clinicians, researchers, and other non-technical audiences as needed.Education QualificationsBachelor's Degree RequiredBachelor's Degree Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field PreferredMasters or PhD in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field PreferredExperience QualificationsAt least three (3) years experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects. RequiredAt least four (4) years with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects PreferredAt least one year of experience with complex data science, applied statistics, machine learning, or mathematical modeling projects PreferredNatural language processing experience, particularly in the biological and medical domains PreferredExperience with transformer architecture and associated software (e.g., PyTorch, Tensorflow, JAX) is PreferredExperience using distributed computing technologies PreferredExperience with cloud virtual machine environments PreferredExperience implementing distributed training on GPUs or TPUs in cloud platforms (e.g., Google Cloud, AWS, Azure).Experience with prompt engineering, semantic search, or retrieval-augmented generation (RAG) in a research or production environment.Familiarity with MLOps pipelines (CI/CD, containerization, monitoring, and logging frameworks).Exposure to healthcare or biomedical data and associated privacy/security regulations (e.g., HIPAA) is a plus.Experience with advanced NLP techniques or LLMs in a research or production environment.Skills And AbilitiesProven software engineering experience, including structured development methods, testing, and version control.Hands-on experience with Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).Familiarity with relational databases (e.g., Snowflake, BigQuery, Oracle SQL, MySQL).Experience with Linux/Unix environments, shell scripting, and cluster computing systems (e.g., SLURM).To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more.Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed.EEO / VEVRAA Federal Contractor |  Tobacco Statement",Entry level,Machine Learning Engineer
+862,2025-04-04,Aldie,VA,"Bespoke Technologies, Inc.",http://www.bespoketechinc.com,"Bespoke Technologies, Inc. (Bespoke) is an Woman-Owned Small Business (WOSB) offering strategic bespoke solutions in data science, engineering, and mission operations in support of the Federal Government.
+
+Through our years of experience we have supported multiple agencies - each with different missions, unique technology platforms, and varying visions on what defines success. We recognize one size does not fit all. Through developing bespoke innovative solutions to our customers, Bespoke can help you uncover the right solutions for your toughest business challenges.","BT-51 – Data ScientistSkill Level: Subject Matter ExpertLocation: Herndon (fully on-site, no remote option)MUST HAVE A POLY CLEARANCE TO APPLY**Required SkillsDemonstrated minimum of 5 years of experience tracking budgetary funds.Demonstrated minimum of 5 years of experience with portfolio & resource management.Demonstrated experience successfully utilizing exceptional customer service working directly with business and technical customers to communicate organizational accomplishments, status and direction to stakeholders’ at all organizational levels.Demonstrated experience developing use cases that improve the ability to find information in a more timely fashion.Demonstrated experience in data analysis, requirements gathering, translations, and visualizing information in a clear way to explain the data at hand.Demonstrated experience developing and managing project schedules, utilizing MS Project to identify critical tasks, and EVM for overall project status.Demonstrated experience with resource allocation and optimizing resource assignments by identifying key resources and the right set of skill sets required for a project.Demonstrated experience developing Minimum Viable Increments (MVIs) based on requirements gathered.Demonstrated experience and background in Business/Financial areas.Demonstrated experience successfully utilizing written communication skills to produce publishable documents.Demonstrated experience working on both development and integration projects.Desired SkillsDemonstrated experience with Service Now.",Entry level,Data Scientist
+863,2025-03-31,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionAre you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us.As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team.We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.Key job responsibilities Develop and maintain key tooling for model evaluation. Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs. Manage project prioritization, deliverables, timelines, and stakeholder communication. Illuminate trade-offs, educate the team on best practices, and influence technical strategy. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility. Operate in a dynamic environment to deliver high quality software against aggressive schedules.About The TeamWe are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2875476",Not Applicable,"Machine Learning Engineer, AGIF"
+864,2025-03-30,Atlanta,Georgia,Document Crunch,https://www.documentcrunch.com,Document Crunch simplifies construction contracts by quickly identifying critical risk provisions and provides teams with guidance to make great decisions throughout the entire project lifecycle.,"Document Crunch is seeking a mid-level Software Engineer, AI to join our amazing, tight-knit team.We are looking for a Software Engineer, AI with expertise in Retrieval-Augmented Generation (RAG), AI/ML research, model training/fine-tuning, and ML service(s) integration. The ideal candidate will have a demonstrated history in machine learning, machine learning pipelines / infrastructure, natural language processing, prompt engineering, software engineering and some general devops / infrastructure. You will be responsible for researching, designing, developing, and deploying AI/ML services, and integrating them into our existing systems to enhance the functionality and efficiency of our products.What makes Document Crunch a great place to work? We’re cutting-edge innovators. We’re changing an industry. We’re making a real difference. Document Crunch builds AI-powered software tools for the built world. As the construction industry’s only document compliance platform, we simplify complex construction contracts and project documents, identifying critical risk provisions and providing teams with real-time guidance to make great decisions and comply with contractual obligations throughout the project lifecycle. We empower the industry, make it more efficient, reduce risks, and protect profits. Our company is people-focused and values-driven. We know that to achieve great things, you need a great team, and our “CRUNCHERS” go above and beyond in everything they do. In addition, everyone on our team stays true to our core values, a must if you’d like to become a Cruncher.We Are WarmheartedOur success is powered entirely by our people who are real and approachable. We foster an environment that is warm, fun and welcoming for everyone.We Are InspiredWe care deeply about our mission and are inspired by our potential. If it was easy, everybody would do it, but we are striving for greatness. We take pride in being owners in this journey.We Are Growth-MindedLife is short and we want to make our time count. We invest in growth—personally and professionally. We never stop chasing our why.Key ResponsibilitiesLead AI/ML Strategy and Implementation Understand and execute the company's AI/ML roadmap, aligning with business objectives Design, implement and deploy advanced RAG systems to enhance document understanding and analysis capabilities Lead the integration of cutting-edge AI/ML solutions into existing products and servicesWork closely with DevOps engineers and cross functional teams to integrate AI/ML solutions into existing workflows or be able to design and deploy new workflows as needed Advanced AI/ML Research and Development Spearhead research initiatives on state-of-the-art AI/ML algorithms and technologies Design and conduct experiments to solve challenging problems in document analysis and automation Work independently to ideate, research, prototype and experiment with novel RAG stack solutions ML Architecture and Systems Design Architect scalable, efficient, and maintainable ML systems and pipelines Optimize ML system integration performance and resource utilization Design and implement ML monitoring and observability systems Team Leadership and Mentorship Serve as an experienced source of ML knowledge to less experienced or non-technical cross functional team members Foster a culture of innovation, continuous learning, and best practices within the team Collaborate with cross-functional leaders to align AI initiatives with product and business strategies Continuous Improvement and Innovation Stay at the forefront of AI/ML advancements and industry trends Identify and evaluate new technologies and methodologies for potential adoption Drive the adoption of best practices in AI systems evaluation and benchmarking RequirementsSkills and QualificationsEducation Bachelor’s in Computer Science, Machine Learning, or a related field Technical SkillsProficiency in Python Strong understanding of NLP algorithms, including transformer architectures and large language models Extensive experience with RAG systems, knowledge graphs, vector databases, and semantic search technologies Advanced knowledge of cloud platforms (AWS, Azure, Google Cloud) and their ML services Expertise in LLM prompt engineering, fine-tuning, and evaluation ExperienceMultiple years of professional experience in AI/ML related engineering roles Proven track record of leading complex AI/ML projects from conception to production Extensive experience with model deployment, MLOps, and maintaining ML systems in production, or equivalent experience with ML systems integration at scale Demonstrated ability to translate business requirements into technical solutions Leadership And Soft SkillsStrong leadership and team management skills Excellent problem-solving and analytical abilities Outstanding communication skills, able to explain complex technical concepts to diverse audiences Proven ability to influence and drive decision-making across teams and departments Preferred QualificationsExperience in the construction or legal tech industry Contributions to open-source ML projects or research publications Experience in AI/ML research and development, with a focus on NLP and RAG at scale Hands-on experience leading the integration of ML models into production environments We are currently hiring in Austin, TX and Atlanta, GA. While we are a remote first workplace, we want Crunchers in these locations to better facilitate periodic in-person meetings, get-togethers and training.BenefitsCompetitive salary and benefits package.Close to the ground floor of an incredibly high-growth businessSubstantial internal growth opportunities and emphasis on personal & professional developmentGenerous paid time off policyWorld class medical, dental, and vision benefits401kParticipation in the employee stock option programOpen-minded and collaborative work environment with a focus on resultsWe value diversity, equity, and inclusion in everything we do. It is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, marital status, veteran status, age, disability, pregnancy, sex, sexual orientation, gender identity or any other legally protected category.",Entry level,"Software Engineer, AI"
+865,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
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+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.Job Responsibilities Build and design large-scale machine learning algorithms to model the real-time interests of creators to improve conversion efficiency Optimize TikTok's massive commodity relationship mining and ranking and recall of creators' product recommendations, and improve the overall GMV of the platform Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological developmentQualificationsMinimum Qualifications 2+ years of industry experience with a solid theoretical foundation in machine learning; Familiar with common algorithms such as matrix factorization, GBDT, LTR, Word2vec, DIN, Deep&Wide; Proficient in Python and C++ languagesPreferred Qualifications Proficiency in using any of the following open source tools: XGboost, TensorFlow, Caffe; Have excellent learning ability and good communication and cooperation spirit.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,"Machine Learning Engineer, Recommendation, E-Commerce Alliance"
+866,2025-03-25,Laguna Hills,California,BrainChip,http://www.brainchipinc.com,"BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision and economy of energy. Keeping machine learning local to the chip, without the need to access the cloud, dramatically reduces latency while improving privacy and data security. In enabling effective edge compute to be universally deployable across real-world applications, such as connected cars, consumer electronics and industrial IoT, BrainChip is proving that on-chip AI close to the sensor is the future for customers’ products as well as the planet. Explore the benefits of EdgeFirst AI at www.brainchip.com. ","SUMMARY:The FAE/ML Engineer’s role is to work directly with BrainChip’s current and future customers as well as engage with Sales and Engineering members, to support current and future customers and help develop and create structured support models, manage programs and projects. These models are targeted to support and solve problems for computer vision (classification, object detection), audio processing (keyword spotting), sensor fusion, and anomaly detection. You must be able to communicate effectively at the engineering level with customers, understand their objectives and needs to develop and articulate solutions to address customers’ requirements.ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:Work with Sales and Engineering members, to support customers and help develop technical solutions for Brainchip’s Akida Neuromorphic RTL IP and Reference System-on-Chip (NSoC).Understand customer’s technical requirements & propose solutions and manage projects related to customer activity resolve any customer challenges.Be the customer’s trusted advisor and be the main interface between Customers and BrainChipUnderstand and present complex technical requirements, problems, and solutions concisely in verbal and written communications, Know and understand ASIC development process and experience in Synthesis, Place and Route.Will resolve customer issues with BrainChip’s software or hardware technology.Interact with customers by walking them through the installation process, instructing them on how to operate the technology, and resolving any compatibility issues.Collaborate with software and hardware development teams, as needed.QUALIFICATIONS:To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Education/Experience: 4+ years of experienceB.S. in Computer Science, Computer Engineering, or related technical field.Understanding of machine learning and deep learning experience using Python, Tensorflow, Pytorch and OnyxFirsthand experience with object classification, object detection, face recognition, keyword spotting a plusExperience with different deep learning models, CNN, RNN, Transformers, State Space ModelsExperience with Git version control systemStrong experience in at least one application field CPUs, Tools and methodologies and/or machine learningBroad understanding of Machine Learning, Deep Learning, CNN, and Neuromorphic ComputingOther Skills and Abilities:Strong verbal and written communication skillsStrong teamwork and interpersonal skills and analytical skillsDesire to be involved in a diverse and creative work environmentMust be a self-starter with mindset for growth and real passion for continuous learning.Language Skills:Ability to read and interpret documents, such as policies and procedures, routine mail, contracts and instruction manuals. Ability to compose routine reports and correspondence.Ability to effectively communicate with persons of various social, cultural, economic, and educational backgrounds.Reasoning Ability: Advanced ability to analyze information, problems, situations, practices or procedures. Advanced ability to analyze complex technical data using qualitative and quantitative sources of information to formulate logical and objective conclusions and to recognize alternatives and their implications. Ability to carry out instructions delivered in written, oral or in other daily situations that arise. Ability to deal with problems involving several concrete variables in standardized situations. Ability to make decisions and execute timely in order to produce a positive outcome.",Mid-Senior level,Senior Machine Learning Engineer
+867,2025-04-04,Nashville,TN,HCA Healthcare,http://www.hcahealthcare.com,"HCA Healthcare is dedicated to giving people a healthier tomorrow. 
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+As one of the nation’s leading providers of healthcare services, HCA Healthcare is comprised of 188 hospitals and 2,400+ sites of care in 20 states and the United Kingdom. In addition to hospitals, sites of care include surgery centers, freestanding ERs, urgent care centers, diagnostic and imaging centers, walk-in clinics and physician clinics.
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+Many things set HCA Healthcare apart from other healthcare organizations; however, at our core, our greatest strength is our people. Every day, more than 290,000 colleagues go to work with a collective focus: our patients. Our focus positively impacts the care experience at the bedside and beyond.
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+We are proud of the impact we have in our communities through employment, investment and charitable giving. 
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+HCA Healthcare is a learning health system that uses our approximately 37 million annual patient encounters to advance science, improve patient care and save lives. At HCA Healthcare, we are excited about the future of medicine. We believe we are uniquely positioned to play a leading role in the transformation of care.
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+Note: Be alert for fraudulent job postings, emails, and phone calls. HCA Healthcare will never send you money or ask you to send money during the interview or hiring process.","DescriptionIntroductionDo you want to join an organization that invests in you as a Senior Machine Learning Engineer? At Work from Home, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years.BenefitsWork from Home, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include:Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation.Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more.Free counseling services and resources for emotional, physical and financial wellbeing401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)Employee Stock Purchase Plan with 10% off HCA Healthcare stockFamily support through fertility and family building benefits with Progyny and adoption assistance.Referral services for child, elder and pet care, home and auto repair, event planning and moreConsumer discounts through Abenity and Consumer DiscountsRetirement readiness, rollover assistance services and preferred banking partnershipsEducation assistance (tuition, student loan, certification support, dependent scholarships)Colleague recognition programTime Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence)Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income.Learn more about Employee BenefitsNote: Eligibility for benefits may vary by location.You contribute to our success. Every role has an impact on our patients’ lives and you have the opportunity to make a difference. We are looking for a dedicated Senior Machine Learning Engineer like you to be a part of our team.Job Summary and QualificationsDrives implementation of AI Platform capabilities within an embedded product team through hands-on development and technical expertise. Actively contributes to AI development while following platform standards and patterns, writing high-quality code, and providing practical feedback for platform improvement. Leverages platform solutions to solve team-specific MLOps challenges while balancing team-specific needs with organizational standards. Partners with both product and platform teams to ensure effective adoption of platform capabilities, accelerating AI delivery through consistent implementation patterns and engineering excellenceMajor Responsibilities:Actively contribute to AI/MLOps development within assigned product teamImplement platform capabilities and patterns effectivelyWrite high-quality, maintainable code following team standardsDevelop and maintain ML systems using platform capabilitiesImplement robust CI/CD pipelines for ML modelsEnsure proper testing and validation of ML systemsBalance team-specific needs with platform standardizationChampion platform adoption within a teamFollow and help refine platform patterns and best practicesIdentify opportunities for leveraging platform capabilitiesProvide feedback on platform features and usabilityHelp validate platform patterns through direct implementationShare knowledge and experiences with other MLEsContribute to platform documentation and examplesParticipate in code reviews with focus on platform patternsImplement and maintain ML pipelines using platform toolsDocument technical decisions and implementationsFollow established best practices and standardsContribute to technical discussions and design reviewsWork closely with product team to understand AI development needsProvide implementation feedback to platform teamParticipate in technical discussions and knowledge sharingHelp identify opportunities for platform improvementWhat qualifications you will need:Bachelor's degree - RequiredMaster's degree - Preferred5+ years of experience in software engineering with a focus on ML and AI System Engineering - RequiredExperience working in as an embedded engineer in a cross-function product team - PreferredOr equivalent combination of education and/or experienceKnowledge, Skills, Abilities, Behaviors:Strong technical background in ML engineering with demonstrated coding expertise - RequiredStrong Python development expertise with focus on ML systems and AI/MLOps - RequiredFamiliarity of ML workflows and operational requirements - RequiredHands-on experience implementing model CI/CD pipelines - RequiredExperience with modern Python development practices including type checking, testing frameworks, and package management - RequiredHistory of successful collaboration with product teams - RequiredFamiliarity with ML Development Lifecycle management and MLOps best practice - RequiredFamiliarity of ML Monitoring and observability - RequiredExperience with LLMs and Infrastructure - PreferredUnderstanding of ML/AI platform tooling and patterns - PreferredFamiliarity with Distributed model training - PreferredHands-on experience with Kubeflow, Argo, MLFlow or other ML/AI Training orchestrators - PreferredFamiliarity of ML/AI metadata tools and model registries - PreferredHands-on experience with Terraform or other IaC tools - PreferredHands on experience building ML/AI solutions on GCP and Vertex AI - PreferredFamiliarity with ML model lifecycle and common ML libraries (PyTorch, scikit-learn, XGBoost, AutoGluon, CatBoost, TensorFlow, Keras) - PreferredFamiliarity with major LLM Models (Gemini, Cluade, ChatGPT, DeepSeek, LLaMA) - PreferredExperience with FastAPI and async Python development - PreferredFamiliarity with modern Python tooling (uv, mypy, ruff, bandit) - PreferredExperience with prompt management and versioning systems - PreferredUnderstanding of RAG architectures and token optimization - PreferredExperience writing and optimizing ML/AI tooling and components in C++ or Rust - PreferredExperience with LLMs and Infrastructure - PreferredExperience integrating with feature stores, feature caches and model serving platforms - PreferredWork Location/Schedule:Nashville, TN area (near Centennial Park)Hybrid: in office 3 days/week - MWFTravel Required:Up to 25% travel for quarterly and/or team meetings",Mid-Senior level,Senior Machine Learning Engineer
+868,2025-04-04,New York,,Peloton Interactive,http://www.onepeloton.com,"Peloton is at the forefront of connected fitness, with a powerful and thriving community with Members across the US, UK, Canada, Germany, and Australia.
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+Peloton brings together the best equipment, software, content, and instructors to make fitness accessible, effective, and convenient for everyone, while fostering the social connections that keep our Members motivated and moving towards their goals.
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+Through its immersive fitness ecosystem, Peloton is transforming the way people work out with a vast library of live and on-demand studio classes available to take wherever and however our Members choose to move—through Peloton Bike, Bike+, Tread, Row, Guide, and App, and on any iOS and Android device and select smart TVs. Style-forward and body-inclusive, Peloton Apparel is designed to move with you towards all your goals. And with Peloton Corporate Wellness or Peloton Commercial, organizations and enterprises can also access the Peloton platform—bringing the power of interactive fitness to their teams and customers. 
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+Innovation-driven and entertainment-led, Peloton is so much more than an exercise brand. It is a global leader at the intersection of fitness, technology, and media.","ABOUT THE ROLEThe Personalization team at Peloton is looking for a machine learning engineer to drive personalization and recommendations for our highly engaged members across multiple platforms. Their main focus will be to optimize the engagement and discovery of Peloton content through research and application of AI and ML techniques for content recommendations. They will work closely with ML Engineers, Software Engineers, Product Managers and Product Analysts to test ideas that drive member engagement. They will have a unique opportunity to work with one of the most granular data related to member engagement in the fitness industry. We’re looking for someone who’s passionate about fitness and is excited about the challenges of AI and machine learning to define the future of connected fitness. YOUR DAILY IMPACT AT PELOTONBuild and improve ML pipelines that power Peloton’s content recommendations.Research and apply outstanding machine learning techniques for recommender systems.Evaluate, implement, and improve machine learning models.Run A/B tests and experiments and analyze the results in collaboration with our product analysts.Productionize, deploy and monitor machine learning models and services.Collaborate and work closely with our platform teams to use their tools and infrastructure to rapidly iterate on ideas that drive delightful personalized experiences for millions of users. YOU BRING TO PELOTONDegree in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.2+ years of experience working in at least one of following ML subject areas: recommender systems, natural language processing or computer vision.Strong understanding of software engineering principles and fundamentals including data structures and algorithms.Experience writing code in Python, Java, Kotlin, Go, C/C++ with documentation for reproducibility.Experience with relational and non-relational databases such as Postgres, MySQL, Cassandra, or DynamoDB.Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.MS/PhD in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.Comfortable working with near real-time ML applications.Consistent track record of working with product managers to launch ML-based product features. The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including individual performance, business objectives, and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:- Medical, dental and vision insurance- Generous paid time off policy- Short-term and long-term disability- Access to mental health services- 401k, tuition reimbursement and student loan paydown plans- Employee Stock Purchase Plan- Fertility and adoption support and up to 18 weeks of paid parental leave - Child care and family care discounts- Free access to Peloton Digital App and apparel and product discounts- Commuter benefits and Citi Bike Discount- Pet insurance and so much more! Base Salary Range: $176,748 USD - $229,772 USD  ABOUT PELOTON:Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com.Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence.Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.",Mid-Senior level,Machine Learning Engineer III
+869,2025-03-19,,,Shaper Capital,http://www.shapercap.com,,"Title: Machine Learning EngineerLocation: NYC or DCReporting To: CEOAbout Adelphi: Adelphi is building the data-discovery and data-sharing infrastructure for the U.S. intelligence and defense communities, solving the problem of siloed data and slow intelligence dissemination. Adelphi's middleware enables secure, federated data discovery, reducing intelligence-sharing time from months to seconds while maintaining strict security protocols.Our product is AI-enabled middleware software that builds on top of current intelligence applications and brings together publicly available and first-party data to streamline intelligence work. Adelphi's goal is to dramatically reduce the time it takes for intelligence operators to find which systems contain relevant information on their targets.About the Role: By joining Adelphi as part of the initial Engineering team, you will be at the forefront of developing secure data sharing middleware in the national security and intelligence sectors. As a key member of our early engineering team, you will play a crucial role in developing the product. Our software will integrate seamlessly into the workflows of Case Officers, Special Ops Officers, and Case Management Officers, ensuring secure and efficient data access throughout the asset recruitment process.The ML engineer position requires a mix of software development, LLM Ops and secdevops practices, resulting in an exciting, fast paced engineering role. The right candidate will be able to demonstrate experience building, shipping and supporting mission critical services in support of the data pipelines and services that comprise the Adelphi Data platform. This role requires the ability to provide solutions for the full LLM stack - from the OS, storage and network up to the API and transport layer.Experience in the defense or intelligence fields is a plus, but is not required.Is this you?Designing and deploying intuitive, user-friendly APIs.Successfully launching machine learning services, particularly those leveraging LLMs, embeddings, and inference, into production environments.Handling and securing large-scale production data.Demonstrated proficiency in Python, Go, or C.Deep expertise in RDBMS, including database design, optimization, and operations.A proactive approach to tackling complex challenges in a fast-paced, early-stage environment.A passion for innovation and a collaborative spirit.Bonus Points:Experience in government (DoD, Intel, etc.) engineering.Proficiency in infrastructure management (Docker, Kubernetes, AWS).Expertise in encryption, authentication, Linux systems administration, DevOps, or SRE.BenefitsCompetitive salary and equity compensationPhysical and Mental Health benefitsOpportunity to work on impactful projects in the national security sectorA dynamic and innovative work environmentCareer growth and development opportunities",Entry level,Machine Learning Engineer
+870,2025-04-01,Palo Alto,,BitGo,http://bitgo.com,"BitGo is the leading infrastructure provider of digital asset solutions, offering custody, wallets, staking, trading, financing and settlement out of regulated cold storage. Founded in 2013, BitGo is the first digital asset company to focus exclusively on serving institutional clients. 
+
+BitGo is dedicated to advancing a digital financial services economy that is borderless and accessible 24/7. With multiple Trust companies around the world, BitGo is the preferred security and operational backbone for more than 1,500 institutional clients in 50 countries, including many of the world’s top brands, cryptocurrency exchanges and platforms. BitGo also secures approximately 8% of all on-chain Bitcoin transactions by value and is the largest independent digital asset custodian. For more information, please visit www.bitgo.com.
+","BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.This role will require being full-time onsite at our Toronto office to support collaborative team dynamics and innovative problem-solving.BitGo is looking for a Software Engineer to join our Onboarding team and help us build an API-first platform for businesses and developers to launch crypto products.Responsibilities:Design and build scalable, well abstracted, and robust APIs, libraries, and services to empower our API-first platformOwn functionality and scalability features by taking responsibility from inception to deployment and customer integrationExpose and document functionality to the UI, third-party developers, and our internal and external toolingCollaborate with cross-functional teams to define, design, and ship new featuresWrite clean, maintainable, and efficient codeEnsure the performance, quality, and responsiveness of applicationsIdentify and correct bottlenecks and fix bugsContinuously discover, evaluate, and implement new technologies to maximize development efficiencyParticipate in code reviews and contribute to a culture of continuous improvementWork closely with product managers, designers, and other engineers to understand and refine product requirementsProvide mentorship to your peers in the broader engineering team through code reviews and education on best practicesSkills & Experience: We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.RequiredAt least 3+ years of proven experience of back-end and server-side developmentGreat at algorithm design, problem solving, and complexity analysisStrong experience with of TypeScript, Node.js and ExpressStrong experience with Node.js, TypeScript, PostgreSQL and MongoDBStrong experience with RESTful API designExperience with microservices and service-oriented architecturesExperience with unit and functional testing and debuggingExperience in Git/GitHub and branching methodologies, code review tools, CI tools, etc.Ability to move quickly and adjust course as needed in a fast-paced environmentBachelor’s degree in computer science, applied mathematics, or another technical discipline from a top universityUnderstanding of and strong interest in cryptocurrencies and blockchainPreferredExperience developing consumer-facing crypto productsProven experience building public-facing APIs in a production environmentAbility to work full-stack and familiarity with React Experience working with clients and/or business partnersFamiliarity with any of the following: digital wallets, clearing and settlement, lending, trading, accounting systems, etcWhy Join BitGo?Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $180,000 - $220,000 CAD base salary. Equity and an annual performance bonus are also a part of this role's package.Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you’ll be able to look back and say you were part of the team that transformed investing.",Mid-Senior level,Software Engineer - Onboarding
+871,2025-03-24,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The TikTok Commerce Ads team is dedicated to blending advertiser focus with technical expertise. Our mission is to enhance commerce ads—both open-loop and closed-loop—to establish TikTok as an essential growth engine for businesses of all sizes and a top destination for consumers to discover and buy products, content, and services. We are crucial to driving TikTok's ad revenue and are committed to developing the next-generation web ad solutions for the platform.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Key Responsibilities Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization. Explore, develop and experiment with new features to improve model accuracy. Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users. Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.QualificationsMinimum Qualifications BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with related work experience. Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. Good analytical thinking capability. Have essential knowledge and skills in statistics. Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.). Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism.Preferred Qualification Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB). Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow). Relevant work or research experiences in search and recommendation.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $113500 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Commerce Ads) - 2025 Start (BS/MS)
+872,2025-04-08,New York,,Peloton Interactive,http://www.onepeloton.com,"Peloton is at the forefront of connected fitness, with a powerful and thriving community with Members across the US, UK, Canada, Germany, and Australia.
+
+Peloton brings together the best equipment, software, content, and instructors to make fitness accessible, effective, and convenient for everyone, while fostering the social connections that keep our Members motivated and moving towards their goals.
+
+Through its immersive fitness ecosystem, Peloton is transforming the way people work out with a vast library of live and on-demand studio classes available to take wherever and however our Members choose to move—through Peloton Bike, Bike+, Tread, Row, Guide, and App, and on any iOS and Android device and select smart TVs. Style-forward and body-inclusive, Peloton Apparel is designed to move with you towards all your goals. And with Peloton Corporate Wellness or Peloton Commercial, organizations and enterprises can also access the Peloton platform—bringing the power of interactive fitness to their teams and customers. 
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+Innovation-driven and entertainment-led, Peloton is so much more than an exercise brand. It is a global leader at the intersection of fitness, technology, and media.","ABOUT THE ROLEThe Personalization team at Peloton is looking for a machine learning engineer to drive ourpersonalization and recommendations for our highly engaged members across multipleplatforms. Their main focus will be to optimize the engagement and discovery of Peloton contentthrough research and application of AI and ML techniques for content recommendations. Theywill work closely with ML Engineers, Software Engineers, Product Managers and ProductAnalysts to test ideas that drive member engagement. They will have a unique opportunity towork with one of the most granular data related to member engagement in the fitness industry.We’re looking for someone who’s passionate about fitness and is excited about the challengesof AI and machine learning to define the future of connected fitness.YOUR DAILY IMPACT AT PELOTONBuild and improve ML pipelines that power Peloton’s content recommendations.Research and apply best-in-class machine learning techniques for recommenderSystems.Evaluate, implement, and improve machine learning models.Run A/B tests and experiments and analyze the results in collaboration with our productAnalysts.Productionize, deploy and monitor machine learning models and services.Collaborate and work closely with our platform teams to use their tools and infrastructure to rapidly iterate on ideas that drive delightful personalized experiences for millions ofusers.YOU BRING TO PELOTONM.S. in highly quantitative fields including Computer Science, Machine Learning,Operational Research, Statistics, Mathematics, etc. 2+ years of industrial experience in at least one of ML fields: recommender systems,natural language processing or computer vision.Strong understanding of software engineering principles and fundamentals includingdata structures and algorithms.Experience writing code in Python, Java, Kotlin, Go, C/C++ with documentation forReproducibility.Experience with relational and non-relational databases such as Postgres, MySQL,Cassandra, or DynamoDB.Experience writing and speaking about technical concepts to business, technical, andlay audiences and giving data-driven presentations.PhD in highly quantitative fields including Computer Science, Machine Learning,Operational Research, Statistics, Mathematics, etc.Comfortable working with near real-time ML applications. The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including individual performance, business objectives, and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:- Medical, dental and vision insurance- Generous paid time off policy- Short-term and long-term disability- Access to mental health services- 401k, tuition reimbursement and student loan paydown plans- Employee Stock Purchase Plan- Fertility and adoption support and up to 18 weeks of paid parental leave - Child care and family care discounts- Free access to Peloton Digital App and apparel and product discounts- Commuter benefits and Citi Bike Discount- Pet insurance and so much more! Base Salary Range: $144,681 USD - $195,319 USD  ABOUT PELOTON:Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com.Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence.Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.",Mid-Senior level,Machine Learning Engineer II
+873,2025-03-28,Los Angeles ,,Paramount+,https://www.paramount.com/brand/paramount-plus,"Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world’s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming’s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.","Overview and Responsibilities:Paramount is looking for a Senior Machine Learning Engineer to join the team! The ideal candidate will be curious about applying machine learning! This includes supervised methods like SVMs, random forests, deep learning & reinforcement learning, to existing products and services to improve their efficiency and the overall user experience across our digital properties. In this role, you will use datasets like traffic/video/ consumption data, purchase/subscription data, and third-party data sources, to model, analyze and predict user behavior. You will also take ownership of machine learning products from conception through delivery and monitoring.Responsibilities: Craft and develop highly scalable and reliable machine learning solutions to improve user experience.  Overcome engineering challenges with deploying machine learning solutions at scale Investigate new ways machine learning can improve products and determine viability of solutions Keep up with machine learning research and commercial product offerings across a wide variety of machine learning fields including NLP, recommendations, image and video.  Participate in design and code reviews Effective communication is important as this is a distributed team Pioneer new product ideas for how machine learning can improve products and take ownership from inception through implementation.  Deliver recommendations across Paramount and PlutoTV platforms that serve millions of customers daily.  Work on innovative video solutions applying machine learning to both live streaming video and VOD.  Curate our content platform to craft and develop sophisticated products to collect, transform and enrich data in a fast, scalable and reliable way for ourselves and our customers. Basic Qualifications: 2+ years of experience bringing machine learning software products to production Leads on design and optimization of ML pipelines and developer experience MA/MS in Statistics/Data Science/Computer Science or related quantitative fields with specialization in data mining or machine learning techniques Knowledge of both supervised and unsupervised machine learning techniques in major types of approaches that they should be familiar with LTR (Learning to rank), Transformer Architectures, Sequences models for offline and online inference Have full stack experience in data collection, aggregation, analysis, visualization, productionalization, and monitoring of data science products Kubernetes - must know basics, APIs - good working knowledge, Message Queues (PubSub) - good working knowledge, and distributed processing like Ray and large DBs like BigQuery Proficiency in Python and associated machine learning packages is a must Python, Tensorflow and/or PyTorch, (tensorflow preferred), experience with a Python web framework (Django/Flask) is preferred SQL skillsAdditional Qualifications: Go or Java experience Communicate concisely and persuasively with engineers and product managers Experience with Tensorflow Extended (TFX), KubeFlow and related tools Experience using project management tools like those from Atlassian (JIRA, Confluence) Familiarity with version control systems (Git and Bitbucket) Experience using Google Cloud Platform (BigQuery, ML Engine, and APIs) Background in NLP or text mining techniques is a plus Background in deep learning is a plus Familiarity with Kubernetes and cloud deployments Experience with elasticsearch Desire to contribute to the open-source community (i.e., blogs, source code, etc)Join the Paramount Streaming Talent Community! Get the inside scoop on life at Paramount Streaming and about career opportunities.Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world’s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming’s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.Paramount is an equal opportunity employer (EOE) including disability/vet.At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.",Mid-Senior level,Senior Machine Learning Engineer
+874,2025-02-13,Burbank,CA,The Walt Disney Company,http://www.disneycareers.com,"The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences.
+
+Our mission is to entertain, inform and inspire people around the globe through the power of unparalleled storytelling, reflecting the iconic brands, creative minds and innovative technologies that make us the world’s premier entertainment company.","About Direct To ConsumerDisney’s Direct to Consumer group seeks a talented and creative data engineer/scientist. In order to build and deploy Data Science models at the scale and velocity required for Personalization, Forecasting, Marketing, Content/User Segmentation, and other services at the user and session level at various timescales, our Data Scientists work with ML Engineers to build data ingestion pipelines and robust prediction modeling infrastructure. This is a high impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company’s revenue. It spans a broad range of subject areas, including analyzing fan engagement and marketing, personalization, predicting future consumer behavior, and optimizing content. We are a tight data-driven team with big goals seeking people who solve the toughest challenges at scale, using and building distributed systems in a fast-paced collaborative team environment.In this position, you will:Work together with data scientists to build and deploy models Leverage your in-depth knowledge of data science models to optimize them Develop the infrastructure required to build machine learning models at scale Build products/algorithms that will be used by millions of D+, E+ and Hulu subscribers Build and maintain self-service tools for Data Science Present your research and insights clearly and concisely to all levels of the company Collaborate across the org including Science, Engineering, Product and Operations Basic Qualifications5+ years experience driving business impact with data engineering Degree in Computer Science, Mathematics, or related field Expertise with common languages Python, SQL and a proven ability to learn new programming languages Expertise with Spark, Snowflake and related big data tools Experience deploying and optimizing machine learning flows, models, and frameworks (Scikit-Learn, Pytorch, Keras, OpenAI etc.) in AWS platforms at scale Experience working with data subject to privacy, governance and legal policies Preferred Qualifications8+ years experience driving business impact with data engineering Experience with Scala, Java, Apache, Kafka, Hadoop, Redis or SQS Proficiency with Databricks and Snowflake in complex AWS environments Proficiency with DevOps and CI/CD using tech like Docker, Kubernetes, Jenkins and Github actions Exerience with Agile environmentExperience with data science feature marts Understanding of recent developments in LLMs, vector embeddings, and transformers Strong data anaysis and visualizations skills to convey information and results clearly Experience applying math and statistical methods to data, including probabilistic thinking and programming Exceptional interpersonal and communication skills. Impactful presentation skills in front of a large and diverse audience. Additional Information#DISNEYTECHThe hiring range for this position in Santa Monica, CA is $138,900 to $186,200 per year. The hiring range in Seattle, WA and New York City, NY is $145,400 - $195,000, and the range in San Francisco, CA is $152,100 - 203,900. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered.",Mid-Senior level,Senior Machine Learning Engineer
+875,2025-04-01,Palo Alto,,BitGo,http://bitgo.com,"BitGo is the leading infrastructure provider of digital asset solutions, offering custody, wallets, staking, trading, financing and settlement out of regulated cold storage. Founded in 2013, BitGo is the first digital asset company to focus exclusively on serving institutional clients. 
+
+BitGo is dedicated to advancing a digital financial services economy that is borderless and accessible 24/7. With multiple Trust companies around the world, BitGo is the preferred security and operational backbone for more than 1,500 institutional clients in 50 countries, including many of the world’s top brands, cryptocurrency exchanges and platforms. BitGo also secures approximately 8% of all on-chain Bitcoin transactions by value and is the largest independent digital asset custodian. For more information, please visit www.bitgo.com.
+","BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.This role will require being full-time onsite at our Palo Alto office to support collaborative team dynamics and innovative problem-solving.BitGo is looking for a Software Engineer to join our Onboarding team and help us build an API-first platform for businesses and developers to launch crypto products.Responsibilities:Design and build scalable, well abstracted, and robust APIs, libraries, and services to empower our API-first platformOwn functionality and scalability features by taking responsibility from inception to deployment and customer integrationExpose and document functionality to the UI, third-party developers, and our internal and external toolingCollaborate with cross-functional teams to define, design, and ship new featuresWrite clean, maintainable, and efficient codeEnsure the performance, quality, and responsiveness of applicationsIdentify and correct bottlenecks and fix bugsContinuously discover, evaluate, and implement new technologies to maximize development efficiencyParticipate in code reviews and contribute to a culture of continuous improvementWork closely with product managers, designers, and other engineers to understand and refine product requirementsProvide mentorship to your peers in the broader engineering team through code reviews and education on best practicesSkills & Experience: We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.RequiredAt least 3+ years of proven experience of back-end and server-side developmentGreat at algorithm design, problem solving, and complexity analysisStrong experience with of TypeScript, Node.js and ExpressStrong experience with Node.js, TypeScript, PostgreSQL and MongoDBStrong experience with RESTful API designExperience with microservices and service-oriented architecturesExperience with unit and functional testing and debuggingExperience in Git/GitHub and branching methodologies, code review tools, CI tools, etc.Ability to move quickly and adjust course as needed in a fast-paced environmentBachelor’s degree in computer science, applied mathematics, or another technical discipline from a top universityUnderstanding of and strong interest in cryptocurrencies and blockchainPreferredExperience developing consumer-facing crypto productsProven experience building public-facing APIs in a production environmentAbility to work full-stack and familiarity with React Experience working with clients and/or business partnersFamiliarity with any of the following: digital wallets, clearing and settlement, lending, trading, accounting systems, etcWhy Join BitGo?Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $150,000 - $180,000 USD base salary. Equity, an annual performance bonus and the benefits outlined below are also a part of this role's package.Here are some of the benefits* of working at BitGo:Competitive base salary, bonus and stock options100% company paid health insurance for employee, partner and dependentsUp to 4% 401k company matchPaid parental leave, Paid vacationFree commuter/parking pass; 5 min from CaltrainFree custom lunches, dinners and snacks Computer equipment and workplace furniture to suit your needsGreat colleagues and inspiring startup environmentBenefits may vary based on locationCryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you’ll be able to look back and say you were part of the team that transformed investing.",Entry level,Software Engineer - Onboarding
+876,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Leading projects or small teams of people to help them unblock, advocating for ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapsCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Masters degree or PhD in Computer Science or another ML-related fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+877,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering teamMinimum Qualifications:8+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience leading major initiatives successfullyExperience building and shipping high quality work and achieving high reliabilityExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsExperienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutionsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Preferred Qualifications:Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$85.10/hour to $251,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+878,2025-04-03,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technologyPreferred Qualifications 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2925565",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center - Model Customization"
+879,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications Experience programming with at least one software programming language 3+ years of non-internship professional software development experience Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Hands-on experience with generative AI technologyPreferred Qualifications Bachelor's degree in computer science or equivalent Hands-on experience with at least one ML library or framework 1+ years of experience in developing, deploying or optimizing ML models. 2+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2918741",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center"
+880,2025-03-20,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAds Core ML Team aims at creating automatic delivery products for the next generation and developing advertising as a global business, instead of just a monetization tool to consolidate the delivery funnel framework allowing multiple teams to iterate parallel.We're looking for innovative Research Engineer Interns focused on ML/RL/LLM or other relevant professional domains, to join our TikTok Ads Core ML Ranking team. Ads Core Ranking team specifically focuses on maximizing delivery system efficiency and revenue growth through state-of-the-art models and frameworks. Our research topics include but not limited to: Generative Retrieval and Large Recommendation Model, LLM-based Ranking Application, and Optimization of System Resource Allocation with ROI target.Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025. Please state your availability clearly in your resume (Start date, End date).Summer Start Dates:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities:As part of our team, you will be responsible for: Assist in optimizing efficiency across the entire advertising funnel, including Recall&Rough-sort, Fine-sort(CTR/CVR), format/creative personalization and system resource allocation. Research & develop a global advanced advertising delivery system through frontier technologies, including ML/DL, RL, LLM and also scaling law in ads recommendation. Design & Set up system framework and standard to continuously improve overall efficiency and meet different vertical business needs. Work with product and business teams from various scenarios with global impact.All of our team effort, is to continuously pursue and establish a world-leading ranking model & framework that always benefits our collaborators, users and customers to get better returnsQualificationsMinimum Qualifications: Currently pursuing a PhD Degree in Computer Science, Mathematics, Statistics, or a related technical discipline with 2+ years research or machine learning modeling experience. Able to commit to working for 12 weeks during Summer 2025. Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. Good analytical thinking capability. Essential knowledge and skills in statistics. Good theoretical grounding in deep learning concepts and techniques. Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet), familiar with its architecture and implementation mechanism.Preferred Qualifications: PhD candidate focused on a statistical learning related field. Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship. Good knowledge in one of the following fields: Factorization Machine, Uplift Modeling, Diffusion Models, Reinforcement Learning. Basic understanding of large recommendation system and ads serving system concepts.Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $60- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (Monetization Technology - Ads Core Technology) - 2025 Start (PhD)
+881,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an Software Development Engineer (SDE) on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsA day in the lifeAs You Design And Code Solutions To Help Our Team Drive Efficiencies In Software Architecture, You’ll Create Metrics, Implement Automation And Other Improvements, And Resolve The Root Cause Of Software Defects. You’ll Also Build high-impact Gen AI solutions to deliver to our large customer base Participate in design discussions, code review, and communicate with internal and external stakeholders Work cross-functionally to help drive business solutions with your technical input Work in a startup-like development environment, where you’re always working on the most important stuffAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technologyPreferred Qualifications 3+ years of full stack development experience Bachelor's degree in computer science or equivalent Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or frameworkAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2937070",Not Applicable,"Machine Learning Engineer, Gen AI Innovation Center, AWS"
+882,2025-03-13,Lake Mary,Florida,Alpha,http://www.myalphafund.com,"At AlphaFund, we focus on the dynamic intersection of healthcare, biotechnology, and venture capital, uncovering the insights, trends, and opportunities that drive transformational growth. Our mission is to empower investors, entrepreneurs, and industry leaders with the knowledge and connections needed to navigate and thrive in these rapidly evolving sectors.
+
+What We Offer:
+	•	In-Depth Analysis: Explore expert reports and comprehensive insights on Healthcare, Biotech, Medical Technology, Health IT, and the latest advancements in Life Sciences. Our analyses highlight groundbreaking startups and emerging trends that are shaping the future of care and innovation.
+	•	Spotlight on Innovation: Discover the potential of cutting-edge developments in areas like precision medicine, telehealth, digital therapeutics, and biopharma. AlphaFund sheds light on the startups and technologies revolutionizing healthcare delivery and patient outcomes.
+	•	Exclusive Content: Gain access to interviews with industry pioneers, success stories of venture-backed healthcare startups, and thought leadership that provides unparalleled perspectives on the industry.
+	•	Community Engagement: Join a network of investors, entrepreneurs, and biotech enthusiasts. Participate in thought-provoking discussions, webinars, and events that connect you with key players in the healthcare and biotech ecosystem.
+","We are seeking a highly skilled Machine Learning Engineer with hands-on experience in diffusion models, deep generative modeling, and deployment of AI systems using TensorFlow or PyTorch. The ideal candidate will work on cutting-edge projects involving denoising diffusion probabilistic models (DDPMs), latent diffusion models (LDMs), or related architectures to develop state-of-the-art generative AI applications.This role requires a deep understanding of machine learning, model optimization, and efficient large-scale inference. The candidate will also work closely with data engineers, research scientists, and software engineers to bring production-ready AI solutions to market.Key ResponsibilitiesDesign, develop, and optimize diffusion models (DDPMs, LDMs) for tasks such as image generation, text-to-image synthesis, or noise-based denoising techniques.Implement and fine-tune deep learning models using PyTorch or TensorFlow for generative AI applications.Develop scalable and efficient ML pipelines for training and inference using multi-GPU, TPU, or distributed computing environments.Optimize models for latency, memory efficiency, and performance through techniques such as quantization, pruning, distillation, and mixed-precision training.Integrate diffusion models into production systems, including API endpoints, cloud-based inference, and real-time processing.Collaborate with research teams to experiment with new architectures and improvements in generative AI.Utilize cloud services (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, ONNX, TensorRT) to deploy and monitor models.Keep up-to-date with state-of-the-art generative modeling research and implement innovative methodologies in projects.Required Qualifications✅ Experience with Diffusion Models:Strong knowledge of denoising diffusion probabilistic models (DDPMs), stable diffusion, latent diffusion models (LDMs), or similar generative AI techniques.Hands-on experience implementing diffusion models from research papers and deploying them in real-world applications.✅ Deep Learning & Model OptimizationExpertise in deep learning architectures (CNNs, VAEs, GANs, Transformers, or ResNets) for generative modeling.Proficiency in TensorFlow or PyTorch with experience in writing custom training loops, fine-tuning, and debugging large models.Understanding of latent space representation, noise scheduling, and generative priors in deep generative models.✅ Efficient Model Training & DeploymentExperience with multi-GPU/TPU training, data parallelism, model parallelism, and distributed training frameworks.Knowledge of model acceleration techniques (e.g., ONNX, TensorRT, quantization, mixed precision training, JIT compilation, XLA optimization).✅ Software Engineering & MLOpsStrong proficiency in Python and experience with containerized deployment (Docker, Kubernetes, FastAPI, Flask, etc.).Experience working with cloud services (AWS, GCP, or Azure) for training and deployment.Familiarity with MLOps workflows, versioning, and monitoring tools such as MLflow, Kubeflow, or Weights & Biases.",Mid-Senior level,Machine Learning Engineer - Diffusion Models & Deep Learning
+883,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+884,2025-03-28,Beaverton,OR,Nike,nike.com/careers,"NIKE, Inc. is a purpose-driven organization energized by a shared commitment to move the world forward through the power of sport. We champion diversity and amplify individual passions to bring inspiration and innovation to every athlete* in the world.  
+
+Here, every teammate has a role to play. We work together, embracing our differences and pushing boundaries, to achieve collective success. For more information on how you can contribute to a world-class team, visit our career site at nike.com/careers and join our talent community at https://nikeats.avature.net/niketalentcommunity. ","Who We Are Looking ForWe’re looking for experienced Software Engineers to support and improve our operational processes for our evolving cloud native production systems and for our existing legacy applications. The candidates need to be highly collaborative with peers, be productive in a fast-paced support and development environment and have depth of software engineering experience.What You Will Work OnYou will be working with our engineering, support, business and user bases to support numerous legacy and new cloud-based applications. You will be working tightly with the team on the day-to-day activities to ensure timely resolution of break-fix items as well as managing their workload in regard to cross-functional development activities. You will also help modernize our ability to track and report DevOps metrics acoss our CP&I organization.Who You Will Work WithYou will be a part of the larger Global Technology organization working on the Design Engineering Support and Operations team, reporting to the team’s Production Support Director. You will work on day-to-day activities with your support resources, the team’s Technical Product Manager(s), Technical Leads, Engineers, and Business Users on software development and support projects to achieve business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals. You will be directly fielding issues from our internal user community working to diagnose, resolve, document, and communicate on production issues.What You BringBachelor's degree in Computer Science or related technical subject area or equivalent combination of education and experience3+ years of hands-on supporting software platforms built in AWS in support of product design, innovation, or product creation communitiesExhibit a sound understanding of support processes and procedures, demonstrating a high level of understanding of ITIL standards.Exemplary communication and interpersonal skills, working across all levels of leadership within the organization.Demonstrated experience in continual process improvement.Deep understanding of testing framework and development of automated testingStrong understanding of architectural design patterns and computer science fundamentals.Ability to both rapidly diagnose and resolve break-fix issues, understanding business dates and gates and assigning priority and severity appropriately.Experience with cloud architecture, on-prem infrastructure, and ability to support and diagnose issues.Demonstrated experience of working with a multidisciplinary team while also being able to work independently.Knowledgeable with Scrum development processes or similar Agile methodologies.A track record of working with ambiguity and getting things done in a fast-paced, ever-evolving environment.Experience with asset storage and content management systems is a plus.Product Creation experience is a plusExperience with 3D Applications and Tools is a plus.We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.",Entry level,Software Engineer 2 - Design Engineering
+885,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Leading projects or small teams of people to help them unblock, advocating for ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapsCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Exposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+886,2024-08-31,Austin,Texas,Tesla,https://www.tesla.com/careers,"Our mission is to accelerate the world’s transition to sustainable energy. With global temperatures rising, the faster we free ourselves from fossil fuel reliance and achieve a zero-emission future, the better. 
+ 
+In pursuit of this mission, we make electric vehicles that are not just great EVs, but the best cars, period. We also produce and install infinitely scalable clean energy generation and storage products that help our customers further decrease their environmental impact. When it comes to achieving our goals, we pride ourselves in accomplishing what others deem impossible.
+ 
+We are opening new factories and increasing our output everyday – join us in building a sustainable future.","What To ExpectJoin our Self-Driving team to help shape one of the most advanced and widely-deployed computer vision systems in the world. As a key contributor, you will drive innovation in geometric vision, tackling challenges related to both the vehicle dynamics and environmental perception.What You'll DoDevelop and refine models for estimating geometric entities using both modern neural network-based and classical vision techniquesLeverage vast amounts of fleet data for algorithm development and validationDesign and develop automated data generation pipelines that create various high quality ground truth data for real-world perception problems Deploy and scale your work across millions of autonomous vehicles worldwide Collaborate closely with a high-caliber team dedicated to realizing full autonomyWhat You'll BringProven ability to rapidly prototype and optimize algorithms Proficiency in writing production-quality code in PythonProficiency in c++ is highly desirableSolid understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation experienceExpertise in key areas of computer vision and robotics, such as structure-from-motion, Visual-Inertial SLAM, large-scale mapping and localization, dense 3D modeling, or neural rendering (e.g., NeRF, Gaussian Splatting)Practical experience with PyTorchFamiliarity with deploying neural network models is an advantageBenefitsCompensation and BenefitsAlong with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks programExpected Compensation$140,000 - $360,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment., Tesla",Entry level,"Machine Learning Engineer, Geometric Vision, Self-Driving"
+887,2024-07-10,Austin,Texas,Tesla,https://www.tesla.com/careers,"Our mission is to accelerate the world’s transition to sustainable energy. With global temperatures rising, the faster we free ourselves from fossil fuel reliance and achieve a zero-emission future, the better. 
+ 
+In pursuit of this mission, we make electric vehicles that are not just great EVs, but the best cars, period. We also produce and install infinitely scalable clean energy generation and storage products that help our customers further decrease their environmental impact. When it comes to achieving our goals, we pride ourselves in accomplishing what others deem impossible.
+ 
+We are opening new factories and increasing our output everyday – join us in building a sustainable future.","What To ExpectAs a member of the Dojo Machine Learning team, you will be responsible for enabling Tesla's neural networks to train efficiently on our upcoming in-house custom silicon supercomputer systems. Join a small team of experienced developers in optimizing and scaling the deployment of our Pytorch derived neural networks on Tesla's custom massively parallel Dojo accelerators. Work with many of the same great engineers who delivered Tesla's custom FSD Computer. The ideal candidate has experience with writing software for large distributed systems.What You'll DoUnderstand and model the end-to-end training performance of the Autopilot SW team's Pytorch-derived neural networks on the Dojo systemDevelop software that scales and improves training performance based on your analysis of the bottlenecksCollaborate with the Dojo HW team to understand current HW architecture and propose future improvementsWhat You'll BringDegree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional abilityExperience scaling neural network training systems or other large distributed systemsFamiliarity with the internals of PyTorch and/or JAXPerformance analysis experienceExperience coding parallel programsAble to work from Palo Alto officeBenefitsCompensation and BenefitsAlong with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks programExpected Compensation$120,000 - $360,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment., Tesla",Mid-Senior level,"Software Engineer, ML Performance, Dojo"
+888,2025-04-02,Boston,Massachusetts,Motion Recruitment,http://www.motionrecruitment.com,"Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software, Mobile, Data, Infrastructure, Cybersecurity, Product + UX and Functional.
+
+Motion also delivers IT Consulting Solutions through the Motion Consulting Group (MCG) that create true digital transformation for IT projects in Agile Development & Coaching, DevOps & DevSecOps Solutions, and Managed Services for IT Operations.
+ 
+We’re also the proud creators of Tech in Motion and the Timmy Awards, our North American community platform, events series and award program that connects over 250,000 tech enthusiasts to meet, learn, and innovate.","Machine Learning Data Engineer12 Month Contract (Possible Extension or Contract-to-Hire)Location: Fort Worth, TX Hybrid (4 days/WK)*Must be local to Dallas/ Fort Worth, TX area or willing to relocate the Dallas/ Fort Worth, TX area*Must be able to work on W-2 basisJob DescriptionThe company’s Network Strategy and Innovation team develops strategic initiatives and innovative solutions to enhance network efficiency and sustainability. This team optimizes railway infrastructure and operations by analyzing market trends, customer needs, and technological advancements. Their work includes adopting advanced technologies, improving operational efficiency, and exploring sustainable practices.The Machine Learning Data Engineer plays a critical role in building and maintaining the data infrastructure and pipelines necessary to support the company's Network Strategy, Design, and Innovation department. This position involves leveraging machine learning techniques to enhance data-driven decision-making and optimize operations within rail systems. Job DescriptionDesigning, developing, and deploying scalable data pipelines and machine learning models. The role requires expertise in Python and SQL, with a preference for experience in PySpark and Databricks. The role will also be responsible for integrating machine learning models into production environments, ensuring reliability and scalability.Data Infrastructure & Pipeline DevelopmentBuild and maintain robust data pipelines for ingesting, transforming, and storing large datasets.Develop backend infrastructure to support machine learning models and AI solutions. Machine Learning Model DeploymentImplement and automate machine learning model pipelines, ensuring seamless deployment and monitoring.Collaborate with data scientists to optimize models for performance and scalability. Basic QualificationsStrong proficiency in Python and SQL, with experience in building data pipelines and deploying machine learning models.Advanced analytical skills and the ability to independently conduct complex analyses.Excellent interpersonal and communication skills, both verbal and written.Ability to manage multiple projects and deadlines simultaneously.Proficiency in using data visualization tools such as Tableau or Power BI.Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).Preferred Qualifications3+ years of experience in ML/OptimizationDemonstrated experience with machine learning life cycle management and operationalization.Knowledge of deep learning model building and implementation.Experience with cloud platforms (AWS, Azure, GCP) and CI/CD tools (e.g., Jenkins, GitLab CI).Familiarity with PySpark and experience working with Databricks.Familiarity with company’s measurement systems and reports (e.g., DPR, SCORE, Corporate Dashboard).EDUCATIONBachelor’s and/or Master's degree in analytics, computer science, or a related field.You Will Receive The Following Benefits:Medical & Dental InsuranceHealth Savings Account (HSA)401(k)Paid Sick Time LeavePre-tax Commuter BenefitApplicants must be currently authorized to work in the United States on a full-time basis now and in the future.Motion Recruitment provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in today’s highest-demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.",Mid-Senior level,Machine Learning Data Engineer
+889,2025-04-03,Bethesda,MD,Lockheed Martin,https://www.lockheedmartin.com,"The world relies on what we do. 
+
+Headquartered in Bethesda, Maryland, with offices across the U.S. and around the globe, our team delivers solutions that strengthen national security, shape industries and push engineering  and technology to new levels. We collaborate to win. We put our customers first. And we perform with excellence.
+
+The best careers are built at Lockheed Martin. Join us.","Basic Qualifications Bachelor’s Degree in Engineering, Computer Science, or other related discipline Skilled in machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn, Keras, etc) Skilled in Python and multiple libraries (NumPy, SciPy, Pandas, etc.) Experience with training and analysis steps in a modern MLOps pipeline including labeling, local and global explainability, model export and serialization, conformance testing, deployment, and monitoring Ability to obtain a Secret government security clearanceJob Code/TitleE9853:A/AI Mch Learn Engnr SrJob DescriptionThe Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence and machine learning to support the Applied AI team and product portfolio, focusing on a broad range of projects across the LAIC. The team is focused on exploiting small, innovative and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise and leveraging machine learning operations paradigms to provide continuous maintenance for deployed products.The selected candidate for this role will focus on the monitoring and maintenance of fielded AI capabilities and on the development of new capabilities to enhance ML monitoring and continuous update processes for deployed systems. Activities will span analysis of customer data, ML model performance assessments, ML model updates, & new capability development to address evolving operational requirements.Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills.The selected candidate is required to work at major Lockheed Martin facilities that support relevant customer platforms including LM Moorestown, Valley Forge, Colorado, and Orlando between 50% and full time on site depending on mission needs. Off hours work is occasionally required to meet mission requirements to support updates to and real time monitoring of customer mission systems. Flexible hours are available outside these requirements.Must be a US Citizen.#LMLAICDesired Skills Master’s Degree in Engineering, Computer Science, or other related discipline Experience with high-performance computing Experience with network/messaging (UDP, ZeroMQ, RESTful API, etc.) Experience interfacing with databases (SQL, MongoDB, etc.) Experience leading other engineers or small teams Experience with C++, Java, GO, and other compiled languages Experience with modern Computer Vision Experience developing applications on Linux Familiarity with transitioning prototype software to production (through code development, requirements) Skilled in large dataset management, exploration, visualization, and analysis General knowledge of radar systems engineering, radar track processing, and general digital signal processing Experience leading programs, test events, integration activities, or live data collection activities Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]Other Important InformationBy applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Ability to work remotelyPart-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.Select the Telework classification for this positionEmployee will telework < 50%Ability to TelecommutePart time telecommutingShiftFirstWork Schedule InformationLockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.Work Schedule4x10 hour day, 3 days off per weekSecurity ClearanceNoneLMCareers Business UnitENTERPRISE BUSINESS SERVICESProgramLAICDepartment50143:Artificial IntelligenceJob ClassArtificial IntelligenceJob CategoryExperienced ProfessionalCity, StateKing of Prussia-PA, Littleton-CO, Moorestown-NJ, Orlando-FLCityKing of Prussia, Littleton, Moorestown, OrlandoZip08057, 19406, 32825, 80127VirtualnoRelocation/Housing Stipend AvailablePossibleReq TypeFull-TimeDirect/IndirectDirect At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.EEOLockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.National Pay StatementPay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $104,900 - $184,920. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.This position is incentive plan eligible.Premium Pay StatementPay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $120,600 - $209,070. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.This position is incentive plan eligible.",Mid-Senior level,A/AI Machine Learning Engineer Sr
+890,2025-04-03,San Francisco,California,Arable,http://www.arable.com,"Arable is leading the global advancement of sustainable agriculture by transforming agronomic decision-making through cutting-edge technology. Forward-thinking organizations in over 50 countries rely on Arable to help them be more productive and sustainable.
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+The company’s intuitive solution integrates state-of-the-art IoT technology, machine learning, and advanced modeling to convert in-field weather, crop, soil, and irrigation data into real-time, actionable insights. Users are empowered to make informed, proactive decisions that reduce risk and optimize agricultural practices.
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+Focused on shaping the industry's future, Arable powers transformative initiatives such as large-scale irrigation optimization that conserve hundreds of millions of gallons of water, and agricultural weather intelligence networks supporting thousands of underserved smallholder farmers.
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+Arable is venture-backed by Galvanize Climate Solutions, Qualcomm Ventures, Prelude, S2G, Ajax Strategies, Grupo Jacto, Middleland, M2O, and iSelect.
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+For more information, visit www.arable.com.","Come work alongside some of the most talented minds in the agtech industry. We are a team of innovators who are accelerating the digitization and sustainability of our planet’s food system. At Arable, you will have the unique opportunity to build something meaningful with an amazing group of people who care about each other and their work.What we do:At Arable, our goal is to connect all the world’s farms to help optimize the global food system. This is an ambitious goal, but the need has never been greater to rethink how we will feed an ever-growing population and reduce our impact on natural resources. We believe the heart of the solution is digitizing the analog world with high-fidelity data to help food producers optimize their operations. We hope the impact of our work will improve the lives of farmers everywhere and be a major contribution to securing the global food supply for decades to come.A few examples of the work we’re doing today:Helping farmers in India and Mozambique adapt to the effects of climate change on their farms with novel data-driven crop insuranceGiving produce growers in California the tools to optimize production and minimize wasteHelping irrigated farms in Nebraska manage water more efficiently and sustainably to protect our water supplyWhat We're Looking For:Arable Labs seeks an experienced and insightful Principal Data Scientist to join our mission-driven team, reporting to the Head of Data Science. Our work leverages unique, high-fidelity field data to provide critical insights for global agriculture and environmental monitoring. In this key role, you will apply your deep expertise in machine learning, statistical modeling, and software engineering to solve complex challenges in agricultural water management. You will lead the development of core predictive models, drive innovation through applied research, and see your work contribute directly to farm sustainability and resource efficiency, often supported by broader corporate environmental initiatives. We need a hands-on technical leader passionate about tackling meaningful problems and translating data into real-world impact.Where You'll Make an Impact:Significantly improve models that help farmers optimize irrigation, conserve water, and understand field conditions (e.g., rainfall, evapotranspiration, water balance)Advance Arable's predictive capabilities through the application of novel ML techniques and sensor data analysisContribute directly to tools supporting climate resilience and sustainable practices in agricultureWhat You Will Do:Lead End-to-End Model Development: Drive the full lifecycle of core machine learning models – from research, prototyping, and validation to deployment (Python, Docker, Flask, AWS/SageMaker) and ongoing performance monitoring and improvement. Key areas include water balance, ET, rainfall, and irrigation insightsConduct Applied Research & Innovation: Identify opportunities and execute applied R&D projects to enhance model accuracy, leverage new data sources (internal sensor streams, external weather data), and develop novel predictive features, balancing exploration with pragmatic deliveryCollaborate for Impact: Work closely with cross-functional teams – Product (defining requirements, translating features), Sensors/IoT (understanding data, calibration and validation), and Software (API integration, production pipelines) – to ensure data science solutions effectively meet business and user needsEnsure Solution Quality & Provide Expertise: Uphold high standards for model performance and data integrity through rigorous validation, anomaly detection, and addressing operational analytical needs. Serve as a subject matter expert in your domain areas and contribute to the team's technical strategy and best practices, potentially mentoring junior membersRequired Experience and Skills:MS or PhD in a quantitative field or equivalent deep practical experience5-8+ years relevant hands-on experience developing & deploying ML/DS solutionsML & Statistical Depth: Strong theoretical understanding and practical expertise in machine learning (especially time-series), statistical modeling, and validation techniquesR&D Acumen: Demonstrated ability to conduct applied research, tackle ambiguous problems, and deliver impactful, data-driven solutionsTechnical Implementation: Proficiency in Python for data science (NumPy, pandas, scikit-learn, etc.), strong software engineering practices (Git, testing, docs), and experience deploying models via APIs (Flask) using containers (Docker) on cloud platforms (AWS)Communication & Collaboration: Excellent ability to communicate complex concepts clearly and collaborate effectively within a cross-functional environmentPreferred Experience and Skills:Domain Knowledge: Background or strong interest in agriculture, hydrology, meteorology, soil science, or related environmental sciencesSensor Data & Techniques: Experience with real-world IoT sensor data (including CalVal), anomaly detection, and leveraging external datasets (weather, geospatial)Startup Environment: Proven ability to thrive and take ownership in a fast-paced, dynamic startup settingAWS ML Ecosystem: Deep familiarity with AWS services, particularly SageMakerMentoring: Experience guiding or mentoring other technical team membersLocation: United States based; SF Bay Area preferred, but remote US is possible.What we offer:At Arable, you will be joining a company of dedicated team players who bring together diverse expertise and a passion for building a more sustainable future. We are a fast-moving startup committed to providing a rewarding employee experience through the work we do, the team, compensation, and benefits, including:Excellent medical, dental, vision, and a 401k programFlexible PTOA focus on community involvement and career developmentBeing a part of creating innovative new products that have a positive impact on the worldAt Arable, we don't just accept difference—we celebrate and support it. Not only because it's the right thing to do but because we draw on the differences in who we are, what we've experienced, and how we think to make Arable thrive. Arable is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, gender expression, protected veteran status, and any other characteristic protected under applicable State or Federal laws and regulations.",Not Applicable,Principal Data Scientist
+891,2025-03-15,The Cloud,,Snowflake,http://www.snowflake.com,"Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.","Build the future of the AI Data Cloud. Join the Snowflake team.We are seeking a motivated and skilled Frontend Engineer to join our dynamic team building AI/ML Applications for the enterprise. In this role, you will be responsible for implementing the user experience across the entire lifecycle of our products enabling enterprises to talk with their structured data and gain insights from them in unprecedented ways, from conception through development to deployment. You will collaborate closely with cross-functional teams, including product managers, designers, and developers, to deliver high-quality AI/ML powered experiences that meet customer needs and business goals.RESPONSIBILITIES:Work closely with product managers to understand product requirements, user needs, and business objectives.Translate product requirements into technical specifications and engineering plans.Design and develop prototypes, proof of concepts, and production-ready solutions.Implement and test new features, functionalities, and improvements across the product lifecycle.Collaborate with UX/UI designers to ensure intuitive user interfaces and exceptional user experience.Conduct thorough testing and validation to ensure product quality and reliability.Optimize and refactor code to improve performance, maintainability, and scalability.Participate in code reviews, provide constructive feedback, and mentor junior team members.Monitor and analyze user feedback and metrics to continuously improve product features and performance.Stay updated with industry trends, best practices, and emerging technologies relevant to product development.REQUIREMENTS:Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.2 years of experience in software development, product engineering, or a related role.Proficiency in JavaScript/TypeScript and another language such as Python/Go/Java.Experience with React web development library.Strong understanding of software engineering principles, including design patterns, data structures, and algorithms.Excellent problem-solving skills and ability to troubleshoot technical issues in a production environment.Experience with building LLM Applications is a plus (through prior work or personal interest).Effective communication skills and ability to collaborate effectively in a cross-functional team environment.Passion for building innovative products and delivering impactful solutions to users.Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.comThe following represents the expected range of compensation for this role: The estimated base salary range for this role is $157,000 - $230,000.Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.",Entry level,Software Engineer - AI/ML Frontend
+892,2025-03-31,Bentonville,Arkansas,Walmart,https://bit.ly/3IBowlZ,"Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands, you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world. 
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+We are ecstatic to have been named a Great Place to Work® Certified May 2023 – May 2024, Disability: IN 2023 Best Places to Work, and Fast Company 100 Best Workplaces for Innovators 2023.
+
+This is that place where your passions meet purpose. Join our family and build a career you’re proud of.","Position Summary...What you'll do...As a company, Walmart primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. The Display Ads ML team builds services that enable advertisers to efficiently capture and predict user engagement while minimizing their costs. The team leverages machine learning models to incorporate advertisers’ goals in auction ranking, allowing them to maximize installs, key conversions, or return on ad spend.As the primary owners of the engagement prediction and bid recommendation systems, the team is responsible for a central part of the ads delivery system that generates bid recommendation considering advertiser objectives and user engagement scores. Given the centrality of this system, the team also regularly conducts highly rigorous and controlled experiments to measure the impact of improvements to these systems. Some of the project highlights include maximizing conversions campaign optimization, which uses real-time data to meet advertisers’ key objectives.The Software Engineer III, Machine Learning Engineer will work closely with technical leaders to build new advertiser optimization products that significantly increase the efficiency and ROI for the advertisers.You will be responsible for your quality and technical approach within the team; partner with other team members in direction setting, planning, and overseeing engineering designs and executions; establish and contribute to the group’s culture and processes.You will collaborate with cross-functional engineering, product, and marketing teams to ensure that our customers’ voices are represented in your work. You will help design, conduct, and analyze experiments to quantify the impact of the systems that you build. We are seeking an engineer to join a team building state-of-the-art bidding optimization and user prediction systems. As a member of this team, you will help us uplevel the capabilities of Walmart Display Ads platform through innovative optimization products that enhance advertiser value.About TeamOur team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.What You'll DoExecute a roadmap for engagement and bid recommendation modeling, balancing innovative modeling approaches with business objectives. Build Walmart-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.Support the Model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness.Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs.Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Think out-of-the box!What You'll Bring2+ years of contributing high-quality code to production systems that operate at scale. Participate the design, development and implementation of complex machine learning solutions/algorithms that drive business results leveraging Python, Nodejs, LLM, NLP Models, Chat GPT or similar platforms, scikit-learn, TensorFlow/Pytorch, Cassandra, BQ, RedisSolve complex problems with multilayered data sets, multi batch inferencing. Upholding ML engineering best practices - enforcing high standard for quality, reliability, and security in deployed machine learning solutions.Stay up to date with the latest AI/ML technologies and trend - acting as a thought leader for ML Engineering within the organization and in the broader technical community.Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.‎‎‎You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.‎For information about PTO, see https://one.walmart.com/notices.‎‎Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.‎Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.‎For Information About Benefits And Eligibility, See One.Walmart.‎The annual salary range for this position is $117,000.00-$234,000.00‎Additional Compensation Includes Annual Or Quarterly Performance Bonuses.‎Additional Compensation For Certain Positions May Also Include‎‎ Stock‎‎Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years’ experience in software engineering or related area.Option 2: 4 years’ experience in software engineering or related area.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Customer Service, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Masters: Computer SciencePrimary Location...680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America",Entry level,"Software Engineer III, Machine Learning Engineer"
+893,2025-04-02,San Francisco,CA,Airbnb,http://airbnb.com,"Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million Hosts who have welcomed over 1.5 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.","Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Community You Will JoinYou will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace.The Difference You Will MakeAs a Staff Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. Your work will include:Specifying and estimating models to determine the impact of supply and demand on marketplace outcomesDelivering data and insights to enable the company’s supply growth effortsProviding mentorship to other data scientists and exemplifying a high bar for technical excellenceA Typical DayCrafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning.Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions.Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success.Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals.Your Expertise9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative fieldStrong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scaleExperience with causal inference and machine learning techniques, ideally in a multi-sided platform settingProven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environmentsProven ability to communicate clearly and effectively to audiences of varying technical levelsYour Location:This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & BelongingAirbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.How We'll Take Care Of YouOur job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.Pay Range$194,000—$240,000 USD",Mid-Senior level,"Staff Data Scientist, Marketplace"
+894,2025-04-08,Owings Mills,Maryland,Spark Tek Inc,https://www.sparktekusa.com/,We are a team of experts with deep knowledge of various business functions. We aim to provide customized solutions that can be aligned with our customer demands. We provide business consulting services to help you build high performing organizations which are scalable and sustainable. Our reliable solutions have proven success across varied industries along with different growth stages. We are fast expanding industry and domain experts with in depth experience in leadership and global organizations.,"Role: Data scientistLocation: Seattle, US - onsiteJob type: ContractJob Description Seeking highly skilled Data Scientist. The ideal candidate will play a crucial role in supporting experimentation with adhoc deep-dives and investigations while also working on improving data reporting infrastructure for our performance marketing incrementality testing program. You will be supporting experiment actionability with in-depth, ad-hoc investigations, working with Applied Science & marketing teams to automate reporting of actionable KPI, automating pre/post analyses for incrementality test results, and creating attractive and accessible data visualization to enhance experiment results.Qualifications Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. ) Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics. Strong understanding and real-world utilization of basic statistics concepts (Hypothesis testing, power, variance). Experience with exploratory data analysis, statistical analysis, and experimentation Ability to use Python or R to work efficiently at scale with large data sets Proficiency in SQL. Ability to use Tableau, Python, R, or Google sheets to create dashboards & data visualizations for reporting Able to comfortability communicate data-informed findings with less technical stakeholders.Preferred Qualifications Experience in experimental design and analysis (e.g., A/B and market-level experiments), as well as causal inference. Experience with Google Ads Data & APIs",Entry level,Data scientist
+895,2025-03-26,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity This role is part of Adobe’s Global Marketing Organization (GMO), specifically within the Growth Marketing and Insights organization (GMI). We are seeking a highly experienced Machine Learning Engineer to design, develop, and deploy advanced causal Marketing Mix Models (MMM) for Adobe’s global businesses.These models are crucial for guiding Adobe’s quarterly and yearly marketing budget decisions and generating insights that drive business growth. The primary goal of this role will be to build foundationally solid models that can be refreshed frequently in the production environment. This role will collaborate with cross-functional teams, including analytics, marketing execution, and engineering. What you'll  do  Develop both descriptive and predictive MMMs that accurately measure the incremental impact of marketing and non-marketing drivers  Expand our modeling solutions to support a growing number of geographic locations and product groups  Integrate additional measurement methodologies and data to ensure accurate measurement of marketing return on investment  Balance technical capabilities with practical business needs  Measure both short- and long-term impact of marketing to guide budget allocation across funnel stages to drive sustainable business growth  Communicate model results effectively to partners and executives  Continuously improve modeling techniques and capabilities as the analytical landscape evolves  Contribute to the overall growth of the team! Requirements MS/PhD in Economics, Statistics, Physics, Mathematics, Computer Science, or a related quantitative field  3-4 years of experience in developing and operationalizing MMM and marketing science solutions  Strong technical expertise in MMM and ML algorithms, with the ability to connect model insights to business outcomes  Experience with experimentation/causal inference methods  Experience in deploying models from development to production environments  Proficiency in ML programming languages like Python, R, etc. and data querying languages ( e.g. SQL)  Experience with cloud platforms for scalable model training and deployment  Ability to balance practical business needs with technical possibilities  Strong communication skills and the ability to explain technical terms to business stakeholders  Ability to build positive working relationships and collaborate in cross-functional teams  A curious mind, passion, and motivation to learn new skills, tools, and techniques! Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,Machine Learning Engineer - Marketing Mix Modeling
+896,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
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+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Leading projects or small teams of people to help them unblock, advocating for ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapsCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Masters degree or PhD in Computer Science or another ML-related fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+897,2025-04-04,Knoxville,TN,Tombras,http://www.tombras.com,"Tombras is a 450+ person, full-service agency with a digital mindset. We are one of the top independent agencies in North America. We are united by our philosophy: Connecting Data & Creativity for Business Results.®
+
+
+2023 AdAge A-List Standout 
+2022 ADWEEK US Agency of the Year (Finalist)
+2021 Fast Company World Changing Ideas
+
+
+Clients include Orangetheory Fitness, MoonPie, BUSH's Beans, Rolls-Royce, Pernod Ricard, Frito-Lay, Zaxby's
+
+
+
+","Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided.The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing:Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the resultsDevelop the framework and approach for marketing science and develop bespoke offeringsEmploy best in class tooling to develop proprietary Martech in partnership with the Technology and Media practicesIdentify new and innovative data sets that can be used to improve existing modeling work, or deliver net new modelsClearly articulate statistical results to clients, ultimately leading to continued client engagement and implementationWhat you bring:M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research(Optional) Experience in marketing science or advertising analyticsMastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice ModelsStrong competency with python, R, SQL, and other commonly used statistical toolsClient services mindsetAbility to influence clients and partner agencies to act on insightsAbility to distill complicated information into succinct graphical presentations for senior stakeholdersWhy Join Tombras Analytics?Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.Why you’ll want to work at Tombras:You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You’ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.Tombras Benefits:Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly officesUnlimited PTOGenerous parental leave for primary and non-primary caregivers.Medical (PPO or High Deductible option) for employee + dependents401(k) ParticipationEmployer-paid Dental & VisionA company culture of promotions from within and an atmosphere allowing for varied and rapid career development.New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values.Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.Tombras is an E-Verify employer and participates in the E-Verify program.This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.",Not Applicable,Data Scientist
+898,2025-04-04,Wimbledon,London,Harnham,http://www.harnham.com,"Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com 
+
+Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. 
+
+Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.
+
+Our five core services:
+
+* ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a 
+
+* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
+
+* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
+
+* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
+
+* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.","Machine Learning EngineerAI & Cloud OptimizationNew York City – Hybrid$160,000 – $200,000 + Equity & BenefitsWe are working with a venture-backed AI startup redefining how companies manage their cloud costs in an era of explosive AI-driven growth. With billions spent annually on cloud infrastructure—often tracked with outdated tools—this company is building intelligent systems that bring clarity, automation, and financial control to cloud spend. Their platform is already trusted by industry leaders and built for scale across AWS, GCP, and Azure.The Role:This is a hands-on, senior-level position where you’ll drive AI product development from 0 to 1. As a Machine Learning Engineer, you’ll partner closely with the CTO and founding team to design and implement LLM-powered features, forecasting models, and intelligent automation capabilities that directly impact customer outcomes.Responsibilities include:Designing, deploying, and optimizing machine learning models for cloud spend forecasting, anomaly detection, and cost controlBuilding and integrating LLMs to power Agent-style chat interfaces and automation toolsDeveloping secure, scalable ML infrastructure across multiple cloud platformsDriving full-cycle ML projects—architecture, development, deployment, monitoring, and iterationCollaborating with product, engineering, and leadership teams to align AI development with business prioritiesExperimenting with new techniques in generative AI, model optimization, and real-time inferenceRequirements:We’re looking for a startup-minded ML engineer with strong technical depth and a bias toward action. You should have:5+ years of experience in machine learning, AI model development, and infrastructure deploymentFluency in Python, with experience in tools like PyTorch, Hugging Face, LangChain, and TerraformA proven ability to deploy ML models at scale across distributed cloud systemsExperience working with LLMs and open-source models (e.g., Llama, Mistral, Falcon)An understanding of AI security best practices and a commitment to building responsiblyStrong communication skills and the ability to convey complex ideas clearly and confidentlyComfort in high-ambiguity, fast-paced environments where you’ll help define the roadmapBenefits:As a Machine Learning Engineer, you can expect:$160,000 – $200,000 base salaryEquity in a high-growth companyUnlimited PTO and flexible work policyThis is a rare opportunity to shape the future of AI-enabled cloud infrastructure—building real systems, for real users, from day one.",Associate,Machine Learning Engineer
+899,2024-06-12,,,Penn State University,,,"APPLICATION INSTRUCTIONS:CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.JOB DESCRIPTION AND POSITION REQUIREMENTS:The Cyber Innovation, Analytics & Operations Department within the Communications, Information and Navigation Office (CINO) at the Applied Research Laboratory (ARL) is looking for talented, experienced, and highly motivated Data Scientists to assist in providing its customers with state-of-the-art solutions. In this position you will research, develop, and deliver algorithmic, machine learning, and artificial intelligence based approaches to solve complex sponsor problems.You will:Design, develop, and research machine learning systems, models, and schemesStudy, transform, and apply state-of-the-art machine learning prototypes to sponsor specific domains collection and data modelingVisualize data for deeper insightsGenerate and present technical research reports and briefingsPerforming statistical analysis in support of pattern of life and anomaly detectionBuild high quality software prototypes integrated with our various research and pre-production software environmentsThe selected candidates will assume a technical role and will interact with other ARL staff and sponsors, spending a majority of the time working in a classified environment in Annapolis Junction, MD, State College, PA or Reston, VA. Periodic travel to sponsor sites may be required.ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.This position can be filled at multiple levels, depending upon your education and experience. Minimally requires a Bachelor's degree in an Engineering or Science discipline. Additional experience and/or education are required for higher level jobs. A Master's degree is preferred.Additional responsibilities of higher level positions include:Supervise the work of lower level staff and undergraduate studentPerform tasks of a larger scope and lead specific tasks within the project scopeExperience in the following is required:Data science/algorithm developmentData science / Machine Learning languages to include PythonResearch, development and implementation of machine learning modelsExperience in the following is preferred:Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA basedStatistics, linear algebra, and data structuresExploratory data analysis and visualizationData science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, SQL, FastAPISoftware Development tools to include Git, Docker, Kubernetes, SSHActive TS/SCI ClearanceCandidates selected will be subject to a government security investigation. You must be a U.S. Citizen to apply. Employment with the Applied Research Laboratory will require successful completion of a pre-employment drug screen.ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.You will be subject to a government security investigation, and you must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.ARL is committed to diversity, equity, and inclusion; we believe this is central to our success as a Department of Defense designated University Affiliated Research Center (UARC). We are at our best when we draw on the talents of all parts of society, and our greatest accomplishments are achieved when diverse perspectives are part of our workforce.The proposed salary range may be impacted by geographic differential.The salary range for this position, including all possible grades is:$76,700.00 - $129,500.00Salary Structure - additional information on Penn State's job and salary structure.CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.Employment with the University will require successful completion of background check(s) in accordance with University policies.EEO IS THE LAWPenn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.Federal Contractors Labor Law PosterPA State Labor Law PosterAffirmative ActionPenn State PoliciesCopyright InformationHotlinesUniversity Park, PA",Entry level,Artificial Intelligence / Machine Learning Research and Development Engineer
+900,2025-03-28,San Francisco,California,Uber,http://www.uber.com,"We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
+
+The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.","About The RoleUber Marketplace is at the heart of Uber's business, with Rider Pricing & Incentives playing a critical role by setting prices and targeting promotions for Uber riders. Our team's mission is to drive revenue growth, ridership growth and Uber's profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing, real-time and offline promotions, including discounts, and personalized messaging.The Rider Pricing & Incentives team is a fast-moving, high-opportunity space where you'll have the chance to make a significant impact on the business. You'll take ownership of one key pillar of the promotions or rider pricing domain and lead the technical direction for improving our pricing algorithms, promotion algorithms and models. You will work across ML, serving, and optimization system components, and set technical direction for modeling best practices across model building, evaluation and deployment.In this role, you'll apply advanced machine learning technologies-including deep learning, generative AI for personalized communications, causal modeling, and reinforcement learning-to optimize pricing strategies and promotional systems. You will also work with serving infrastructure and product teams to design and evolve the rider pricing and promotions systems to support new product and algorithm evolutions, promotion use cases and drive Uber's top-line rider and revenue growth.What The Candidate Will Need / Bonus Points What the Candidate Will Do Lead a group of SWEs and MLEs working on rider pricing and promotions to develop and implement new machine learning and optimization techniques powering billions of rides around the world, and helping riders achieve their mobility needs.  Improve the performance of models and algorithms powering pricing algorithms and promotion targeting.  Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap.  Mentor more junior team members by role modeling ML best practices. Collaborate with cross-functional teams to ensure alignment and drive Uber's ridership and revenue growth. Help Uber's end-users by making mobility options accessible and affordable.  Basic Qualifications Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 7+ years of full-time engineering experience.  Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go).  Experience with machine learning and optimization algorithms.  Preferred Qualifications PhD in Computer Science, Engineering, Mathematics, or a related field, with 2+ years of full-time engineering experience.  Experience solving complex business problems by translating them into machine learning and optimization solutions.  Familiarity with large-scale data systems (e.g., Spark, Hive) and experience building production-ready algorithmic systems.  Strong background in deep learning, generative AI, causal modeling, and reinforcement learning. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.",Mid-Senior level,Senior Machine Learning Engineer
+901,2025-03-22,San Francisco,California,Tecton,https://tecton.ai,"Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready AI data platform to help companies activate their data for AI applications. 
+
+AI creates new opportunities to generate more value than ever before from data. Companies can now build AI-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. 
+
+But AI models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage AI data. Most companies don’t have access to the advanced AI data infrastructure that is used by the Internet giants. So AI teams spend the majority of their time building bespoke data pipelines, and most models never make it to production.
+
+We believe that companies need a new kind of data platform built for the unique requirements of AI. Tecton enables AI teams to easily and reliably compute, manage, and retrieve data for both generative AI and predictive ML applications. Our platform delivers features, embeddings, and prompts as rich, unified context, abstracting away the complex engineering involved in data preparation for AI. With Tecton, companies can:
+
+1. Productionize context faster, getting new models to production 80% faster
+2. Build more accurate models through rapid data experimentation and 100% accurate context serving
+3. Drive down production costs by turning expensive workloads into highly efficient data services
+
+We believe that by getting the data layer for AI right, companies can get better models to production faster, driving real business outcomes. Tecton enables organizations to harness the full potential of their data, creating AI applications that are contextually aware and truly intelligent.","Tecton helps companies unlock the full potential of their data for AI applications. The platform streamlines the complex process of preparing and delivering data to models. With Tecton, AI teams accelerate the development of smarter, more impactful AI applications.Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.We are building Rift ( talk , blog post ) - a new fully managed compute environment that allows data scientists to construct powerful batch and streaming pipelines in Python. Our new environment leverages popular open-source technologies such as Ray, Arrow, and DuckDB. We also have deep integrations with Spark platforms (Databricks, EMR, Dataproc) and data warehouses (e.g. Snowflake, BigQuery, RedShift), along with performant training data pipelines and a workload orchestration platform.As a senior engineer on the Batch Data team, you’ll play a critical role in architecting, designing, and scaling the core compute engines and storage architecture used by every Tecton customer. You'll contribute to the performance of our query optimizer, from parsing & optimization to plan selection. Think of this team as the “beating heart” of Tecton.This role is a unique opportunity that combines customer-obsessed product focus with platform and data engineering innovation and helps companies accelerate their path to real-time AI. You will be working in one or more of the following areas to build the next generation of Tecton infrastructure: Distributed compute and resource management Query optimization and distributed execution Cross-platform integrations with state-of-the-art data platformsThis position is open to candidates based near our hubs in San Francisco, New York City, and Seattle.ResponsibilitiesOwn and lead significant technical domains starting from the problem definition and technical requirements to implementation and maintenanceLead projects of strategic importance to Tecton spanning cross-functional teams including product management and other engineering teamsDrive efforts to improve engineering practices, tooling, and processes along with mentorship for junior engineersDevelop a deep understanding of the fundamental problems our customers face in building ML systemsBe a generalist as needed. We’re a small, but growing engineering team and each engineer needs to be versatileQualificationsExperience working in large Python, Java, Kotlin, or Go codebases and running cloud-native Spark systems (e.g. AWS EMR, Databricks, GCP Dataproc)Experience in performance tuning of Spark, Ray, Maestro, or Airflow jobsKnowledge of data formats such as Parquet, Avro, Arrow, Iceberg, or Delta Lake and object storage (e.g. S3, GCS)Expertise with cloud-scale query performance, query optimization, query planning, heuristic query execution techniques, and cost-driven optimizationsExperience with internals of distributed systems, SQL/NoSQL databases, data lakes, or data warehousesStrong communication skills and ability to write detailed technical specificationsExcitement about coaching and mentorship of junior engineersBSc, MS, or PhD in Computer Science or related fields8+ years of experience in building product software systems$197,000 - $237,000 a yearThe estimated US base salary range for this position is $197,000 - $237,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.Tecton is a remote-friendly company that employs a hybrid working policy for employees based in the SF, NY, and Seattle areas. We believe that working in-person helps us stay connected, collaborate faster, and promote a strong culture while still providing the flexibility of working from home. We expect SF & NY employees to be in the office at least two designated days per week, and those in the Seattle area at least two designated days per month..Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.",Mid-Senior level,"Software Engineer, Batch Data"
+902,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $137750 - $237500 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Data-Search-TikTok Recommendation - Seattle) - 2025 Start (PhD)
+903,2024-08-03,Princeton,NJ,"AppLab Systems, Inc",http://applabsystems.com,"AppLab Systems has a strong reputation as a Recruitment, Staffing, Healthcare and information technology consulting company. We assist enterprises, organisations and government agencies maximise their corporate information in their database using best in breed, best in class Business Intelligence software solutions.. 
+
+ Our values are integrity, leading change, excellence, and respect for the individual, learning and sharing. Our success is based on our ability to be flexible while adhering to a strict project management methodology. Large and small organisations alike enjoy our personalised, highly responsive customer service ALS Inc. is your partner for a wide spectrum of IT services including Information Systems Strategy Planning, Quality Assurance , Customized Software Solutions, Packaged Software Implementation, Migration, Web Solutions, Porting and Staff Augmentation.
+
+           We have created an environment for our clients resulting in improved efficiency, reduced costs, deliverable ahead of schedule and customer satisfaction.. ALS Inc is a leading information technology (IT) services company that specializes in providing complete consulting solutions and staff augmentation to its clients. We provide on-time, on-budget, quality service to our clients and consistently meet their expectations. We are known for our superior execution on a sustained basis.
+
+      Our Business Intelligence offerings integrate data from various services to power precise analyses - product profitability, detailed customer profiles and spending habits. ALS Inc empowers your decision makers by delivering the information needed to stay ahead in competitive industries. World class analytical expertise, best-of-breed BI package proficiency, rigorous business methodologies - ALS Inc gives the solutions you are looking for..","Machine Learning EngineersLocation: Austin, TX(W2 contract only no C2C/C2H)Job Description.Minimum 6-8 years of experience in machine learning and computer vision, with a proven track record in image processing and analysis.development and optimization of Computer Vision algorithms and Client models Continuously refine Client models to improve accuracyCollaborate with cross-functional teams to integrate AI/Client features into the application.Skill RequirementsProven hands-on experience in Python programming.Proficient in programming languages relevant to AI/Client development ( TensorFlow, PyTorch).Strong proficiency in machine learning concepts and practical application.Familiarity with data analytics packages including pandas, NumPy, and scikit-learn.Intermediate knowledge in statistics for data analysis and interpretation.Ability to create insightful and visually appealing graphs using tools like Matplotlib or Seaborn.Collaborative mindset with excellent communication skills to work effectively in a team.has context menuResponsibilitiesDevelop and maintain Python-based applications, leveraging expertise in Python programming.Implement and optimize machine learning models for data analysis and insights generation.Utilize data analytics packages such as pandas, NumPy, and scikit-learn for efficient data manipulation and processing.Work collaboratively with cross-functional teams to understand business requirements and translate them into technical solutions.Apply intermediate knowledge in statistics to analyze and interpret complex datasets.Create visually appealing graphs and visualizations to communicate findings effectively.",Entry level,Machine Learning Engineer
+904,2025-04-09,Cincinnati,Ohio,ExaTech Inc,http://www.exatechinc.com,"Welcome to Exatech – Your Trusted Partner in Staffing Solutions! 
+
+At Exatech, we are dedicated to addressing both IT and non-IT requirements, specializing in niche areas with the best of the solutions. Our seasoned team of professionals with both expertise and dedication, committed to going the extra mile to ensure client’s success and satisfaction.
+
+Industries We Serve:
+Banking and Financials
+Oil and Gas
+Healthcare and Medical Devices Manufacturing
+Hospitals/Healthcare Facilities
+Aeronautical
+Robotics
+Electronics
+Food and Beverage
+Government
+Water Management
+Automotive
+Steel Manufacturing
+
+Whether you're in need of IT solutions, light industrial support, or healthcare services, Exatech has you covered. Our comprehensive approach and commitment to excellence make us the go-to partner for businesses seeking unparalleled consulting and staffing solutions.","Position : AI/ML EngineerLocation : RemoteNeed 10+ Years Candidates Candidate has worked in product company particularly telecom product company. Need 100% match to the JDI am seeking someone for below role. Role Summary:We are seeking an experienced AI/ML Data Scientist to design, develop, and deploy advanced machine learning and generative AI solutions. This role requires a blend of deep technical proficiency, curiosity for cutting-edge research, and practical experience in production-grade AI/ML systems, including knowledge of LLMs, AI agents, and vector databases.Key Responsibilities: • Build and deploy ML and GenAI models to solve complex business problems across structured and unstructured data • Leverage LLMs (e.g., GPT-4, LLaMA, Claude, Gemini) for use cases such as summarization, classification, chat agents, document understanding, and more • Design and prototype AI agents capable of reasoning, memory recall, task planning, and multi-step workflows • Work with vector databases (e.g., Pinecone, FAISS, Chroma) for semantic search and retrieval-augmented generation (RAG) systems • Collaborate with product, engineering, and data teams to integrate models into real-world applications • Conduct model evaluation, fine-tuning, and prompt engineering for optimization • Stay current with the latest advancements in generative AI, foundation models, and open-source tooling • Create clear documentation and visualizations for communicating technical solutions and results to stakeholdersRequired Qualifications: • Degree in Computer Science, Data Science, Engineering, or a related field • 3+ years of experience in machine learning or AI/ML engineering roles • Hands-on experience with GenAI frameworks and APIs (e.g., OpenAI, HuggingFace Transformers, LangChain, LlamaIndex) • Experience building and scaling LLM-based applications (RAG pipelines, chatbots, agents, etc.) • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) • Solid programming skills in Python and ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn) • Understanding of ML lifecycle, including data processing, training, evaluation, and deployment • Experience with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes)Preferred Qualifications: • Experience designing and deploying AI agents (e.g., Auto-GPT, BabyAGI, CrewAI, OpenAgents) • Exposure to open-source LLMs (LLaMA 3, Mistral, Falcon, etc.) and fine-tuning techniques (LoRA, QLoRA, PEFT) • Familiarity with MLOps tools and workflows (e.g., MLflow, DVC, SageMaker, Vertex AI) • Strong communication and stakeholder engagement skills • Publications or open-source contributions in GenAI/ML is a plus",Mid-Senior level,Machine Learning Engineer
+905,2025-03-28,Worldwide,,"Pyramid Consulting, Inc",https://pyramidci.com/,"Pyramid Consulting, a global leader in workforce and technology solutions, empowers individuals and organizations to transform and thrive in the most challenging and competitive markets. Pyramid Consulting’s award-winning family of brands – Pyramid Talent, Celsior, and GenSpark– operate together to deliver seamless and integrated solutions which benefit our clients and the consultants who serve them. Through the ‘intentionally inclusive’ recruitment of uniquely qualified candidates and teams; the training and upskilling of recent college graduates and organizational talent; and the customized development and management of innovative technology solutions and teams, Pyramid Consulting proves its lasting commitment to the sustainable growth and success of its consultants and clients. Founded in 1996 and headquartered in Atlanta, Pyramid Consulting serves over 125 Fortune 500 companies across most industries with more than 6500 consultants in 25 countries.","Immediate need for a talented Data Scientist. This is a 08+months contract opportunity with long-term potential and is located in Irvine, CA (Hybrid). Please review the job description below and contact me ASAP if you are interested.Job ID: 25-62674Pay Range: $80 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).Key Responsibilities:Diagnose hardware and software problems, and replace defective components.Perform data backups and disaster recovery operations.Install, maintain and administer computer networks and computer hardware, systems software, applications software, and all configurations.Plan, coordinate, and implement network security measures in order to protect data, software, and hardware.Monitor the performance of computer systems and networks.Perform routine network startup and shutdown procedures, and maintain control records.Ensure network performance.Add and remove network access.Maintain an inventory of parts for repair needs.Key Requirements and Technology Experience: Top 3 skills: Machine Learning, Python, SQLProficient in Python and SQLHands-on experience in database technology (Postgres, Redis, ElasticSearch)Familiarity with transformer architectures (SLM, LLM, VLM, Embedding Models)Strong technical acumen and experience architecting Sales Enablement and Customer Success tools and systems.Strong knowledge of industry trends for sales tools and database strategies.Ability to quickly identify root causes of problems and act on those problems in an effective and complete manner.General Knowledge of Client Suite (Sheets, Docs, & Slides), mandatory experience with Salesforce as a user, admin experience desirable.Need to be inquisitive and constantly wondering how we can make the sales cycle faster, more effective, and/or easier to complete.Must be able to work autonomously and make large business impacting decisions confidently. Subject matter expertise in a large variety of additional software applications as well as the business acumen required to apply them to business problems.Bachelor’s Degree PreferredFamiliarity with the Agile framework.Overall understanding of SaaS business processes and experience in implementing solutions to gaps from a technical and/or project management perspective.This role Interacts regularly with Sales and Customer Success Directors, Associate Directors, and Enablement & Operations Leaders. Also interacts regularly with Marketing, Strategy, Legal, Finance, IT, Business Intelligence, Program Management and Sales Compensation leadership.Ability to see the big picture and potential risks of interaction between systems.List degree required and/or preferred along with the number of years of related and total experience. List any certifications, licenses or other specialized requirements.Certifications: Salesforce Administrator or better desired.Our client is a leading Telecommunications Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.",Not Applicable,Data Scientist
+906,2024-09-22,,,Hugging Face,https://huggingface.co,The AI community building the future.,"At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the role:As a Machine learning Engineer, you work mainly on creating great libraries highly focused on real world ML use cases. We're building on top of our open-source to create more specialized code with a focus on industrial level of usage.We are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a progressive, nimble and decentralized approach to develop real-world solutions and positive user experiences at every interaction.Objectives of this role: Develop specialized software for specific machine learning (ML) use cases that have broad applications, similar to [text-generation-inference](https://github.com/huggingface/text-generation-inference).   Utilize existing library frameworks to create scalable software solutions for industrial purposes.   Enhance the reliability, quality, and time-to-market of our software suite. Measure and optimize system performance to stay ahead of customer needs and drive innovation.   Manage the production environment by monitoring availability and ensuring overall system health. We run our own tools About you:If you are a passionate Machine Learning Engineer with a keen interest in AI and proficient with Python, Rust and specialized Cuda kernels Frameworks (transformers of course + Keras or PyTorch), we would love to hear from you. Join our team and contribute to the advancement of AI technologies while working alongside talented professionals in a collaborative and stimulating environment.More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also flexible parental leave and paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.",Mid-Senior level,"Machine Learning Engineer, Fast Optimized Inference - US Remote"
+907,2025-03-19,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.The App Ads and Gaming team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering application ads on TikTok. Our mission is to push the boundaries of large-scale ads delivery systems and lead the innovations of TikTok's personalized online advertising. Hence, you'll have a chance to get deeply involved in our large-scale distributed systems and state-of-the-art machine-learning algorithms. As a Machine Learning Engineer Intern on the App Ads & Gaming team, you will make efforts to develop novel machine learning solutions for ranking, build scalable foundations, and launch various products that maximize the efficiency of deep funnel app ads delivery.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.SkillsInternships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 . Successful candidates must be able to commit to one of the following summer internship start dates below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23Please state your availability clearly in your resume (Start date, End date).Key Responsibilities Work on developing a large-scale App Ads delivery system to improve accuracy. Explore multi-stage ranking models, conduct data analysis, and develop feature engineering. Participate in the innovations of core App Ads systems using machine learning models, ranking algorithms, etc. Partner with product managers, data scientists, and product strategy & operation team to launch new App Ads, products, and features.QualificationsMinimum Qualifications: Pursuing a BS/MS degree in Computer Science, Computer Engineering, or other relevant majors. Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages, including but not limited to Go, C/C++, and Python. Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics. Curiosity toward new technologies and entrepreneurship.Preferred Qualification Experience with recommender system projects. Experience with applying machine learning methods for ranking.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $45- $60.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Internship,Machine Learning Engineer Intern (App Ads and Gaming) - 2025 Summer (BS/MS)
+908,2025-04-03,Sunnyvale,California,Cerebras Systems,http://www.cerebras.ai,"Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to accelerate generative AI by building from the ground up a new class of AI supercomputer. Our flagship product, the CS-3 system, is powered by the world's largest and fastest commercially available AI processor, our Wafer-Scale Engine-3. CS-3s are quickly and easily clustered together to make the largest AI supercomputers in the world, and make placing models on the supercomputers dead simple by avoiding the complexity of distributed computing. Cerebras Inference delivers breakthrough inference speeds, empowering customers to create cutting-edge AI applications. Leading corporations, research institutions, and governments use Cerebras solutions for the development of pathbreaking proprietary models, and to train open-source models with millions of downloads. Cerebras solutions are available through the Cerebras Cloud and on premise. For further information, visit www.cerebras.ai
+Join us: https://cerebras.net/careers/","Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. About The RoleAs a Senior Software Engineer in ML Integration and Quality team, you will play a pivotal role in bringing together and delivering all software and hardware components for Cerebras AI platform. You will focus on SW components feature integration and quality. Pre deployment/production validation for Cerebras training and inference solution. As part of this role, you will influence the best testing practice, good debugging methodology, effective cross team communication and advocate for world-class products. ResponsibilitiesDevelop and execute a comprehensive integration and  QA strategy aligned with the roadmap of the Cerebras AI solution.Execute with good software integration methodology, collaborate with effective communication and ensure quality.Break down complex tasks into smaller tasks, be a problem solver and help debug efficiently.Automation of workflows, testbed setups and building tools to monitor/debug.Implement creative ways to break Cerebras software and identify potential problems.Contribute to developing SW specifications with a focus on ML products.Drive quality of various software and hardware components of Cerebras AI platform to ensure accuracy, performance and usability of ML training and inference workloads.Ability to work in a fast-paced environment and make the necessary prioritizations and judgements which affects productivity at a company level.Define and implement quality metrics to measure product and process quality, provide actionable insights and recommendations to drive continuous improvement.Provide regular updates on quality, key metrics, and risks to engineering and business stakeholders.Collaborate with software and product team to develop clear acceptance criteria and deliver quality product.Execute and deliver with strong sense of ownership and quality driven mindset.Skills And Qualifications5+ years of relevant industry experience in Software integration, development or quality.Strong automation and programming skills using one or more programming languages like Python, C++ or go.Experience in testing compute/machine learning/networking/storage systems within a large-scale enterprise environment.Experience in debugging issues across distributed scale out deployment.Experience in understanding complex systems and putting together thorough test-plans.Experience working effectively across teams, including product development, product management, customer operations, and field teams.Excellent verbal and written communication skills.Strong organizational skills, teamwork, and can-do attitude.Clear and detailed documentation skills.Experience working with geographically dispersed teams across time zones.Preferred Skills And QualificationExperience in working with ML workloads such as LLM/Multimodal training or inference.Experience with hardware architecture, performance optimizations, compilers and ML frameworks.Experience working with distributed systems, cloud and security.Experience working with microservices deployment, debugging and orchestration. LocationThis role follows a hybrid schedule, requiring in-office presence 3 days per week. Please note, fully remote is not an option.Office locations: Sunnyvale, Toronto. Why Join CerebrasPeople who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:Build a breakthrough AI platform beyond the constraints of the GPU.Publish and open source their cutting-edge AI research.Work on one of the fastest AI supercomputers in the world.Enjoy job stability with startup vitality.Our simple, non-corporate work culture that respects individual beliefs.Read our blog: Five Reasons to Join Cerebras in 2025.Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.",Mid-Senior level,ML Software Integration & Quality Engineer
+909,2025-04-02,LA,California,BlueCargo,http://www.bluecargo.io,"BlueCargo’s mission is to help people move goods from port to first-mile destination faster, more reliably, and more cost-effectively. 
+ 
+Our vision is a world where everyone at local transportation and logistics companies have the digital tools, data, and services they need to better serve global trade.","BLUECARGOBlueCargo is revolutionizing the freight audit and logistics industry by leveraging technology to automate complex processes and drive actionable insights. Our mission is to bring transparency and efficiency to a traditionally manual space—empowering our customers with data-driven decisions. Join us and help shape the future of logistics!Founded by two female entrepreneurs who graduated from the Y Combinator 2018 batch, BlueCargo has successfully raised a Series A in 2022. We are at the beginning of an exciting growth phase, having already developed product-market fit, a working platform, and hundreds of daily active users.If working to bring technology to the logistics industry sounds exciting, then we’d like to connect with you! We are looking for an experienced Data Analytics Engineer with a startup mindset.Our Current TechTechnical stack: Python / Django (Backend), Javascript (Frontend), AWS services (Lambda, RDS, S3), PostgreSQL (Database), CircleCI and other continuous integration toolsTech team: 12 engineers (+ 5 people in the product team)Location: Los Angeles or New York (hybrid)Mission/ResponsibilitiesOPPORTUNITY OVERVIEW\ In this role, you’ll be at the intersection of data engineering and analytics, transforming raw data into actionable insights that drive strategic decisions and improve our product offerings. You will work closely with our Product, Engineering, and Operations teams to build robust data pipelines, develop insightful dashboards, and support our data science initiatives.Data Pipeline Development:Design, build, and maintain scalable ETL pipelines to integrate data from various sources.Ensure data quality and consistency across our data infrastructure.Analytics & Reporting:Develop, automate, and maintain dashboards and reporting solutions to monitor key performance indicators (KPIs) and business metrics.Perform ad-hoc data analysis and support cross-functional teams with data-driven insights.Collaboration & Communication:Work closely with product and engineering teams to understand their data needs.Translate business requirements into technical solutions and clearly communicate findings to both technical and non-technical stakeholders.Continuous Improvement:Optimize existing data processes to improve efficiency and scalability.Stay abreast of industry trends and best practices in data analytics, data engineering, and visualization.QualificationsIn addition to the following technical skills, we are looking for PROBLEM SOLVERS with an entrepreneurial mindset.Experience: 3+ years in data analytics engineering, data warehousing, or related roles.Technical Skills:Proficiency in SQL and experience with relational databases.Strong programming skills in Python (or similar languages) for data processing and analysis.Experience with ETL tools and data pipeline frameworks.Familiarity with data visualization tools such as Tableau, Looker, Power BI, or Sigma.Analytical Mindset: Ability to turn complex data sets into clear, actionable insights.Collaboration: Excellent communication skills with a track record of working effectively in cross-functional teams.Bonus: Experience with cloud-based data platforms (e.g., AWS, GCP, or Azure) and exposure to machine learning or advanced analytics projects.ClassificationPerks: Medical benefits + unlimited PTOFun perks: flexible and international environmentSupport/Community: Enjoy being a member of a Y Combinator company!",Mid-Senior level,Data Analytics Engineer
+910,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.",,,Artificial Intelligence / Data Scientist Intern (HR)
+911,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok commerce ads team holds a strong advertiser focus and a dedication to technical excellence. We work with advertisers from all verticals, such as E-commerce, Retail, Travel etc, to make TikTok an irreplaceable growth channel for businesses of all sizes and a favorite destination for consumers to discover and purchase products, content, and services. We are on the critical path to delivering TikTok's Ads revenue and working on building the next-generation web ads solution for TikTok.We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.What You'll Do Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization. Explore, develop and experiment with new features to improve model accuracy. Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users. Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.QualificationsMinimum Qualifications: BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with 1+ years of related work experience. Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. Good analytical thinking capability. Have essential knowledge and skills in statistics. Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.). Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism.Preferred Qualifications Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB). Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow). Relevant work or research experiences in search and recommendation.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $112200 - $147000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Entry level,"Machine Learning Engineer, Commerce Ads"
+912,2025-03-11,London,,NJF Global Holdings Ltd,https://www.njf.com,"NJF is a tech-focused company whose by-product is recruitment. Our reputation among many of the world’s leading institutions has resulted in a prolific demand for our services and the continued expansion of our international network. 
+
+NJF’s focus is within the Trading and Technology markets. Our interrelated teams employ rigorous research methodologies to ensure that we are at the forefront of the latest trends in both spheres. Our consultants are devoted to unearthing world-class talent and guiding the right people into the right jobs. 
+
+At NJF, we make the individual our priority. This, in turn, strengthens our comprehensive knowledge of the market and drives our continuous research effort. 
+Along with taking the time to gain a deep understanding of each candidate’s technical skills and market experience, we also get to know them as people. This ensures that our efforts result in a long-term, lasting relationship for both client and candidate. 
+
+Our Trading Practice coordinates the careers of high-performing traders, quants and data scientists across the upper echelons of quantitative managers: hedge funds, proprietary trading organizations and tech firms.
+
+Our Technology Practice has a track record of finding the very best developers and infrastructure experts to build world-class systems and frameworks for high frequency proprietary trading firms, hedge funds and technology start-ups. We recognize that organizations want their staff to reflect the world’s diverse population. We are committed to identifying, attracting and cultivating promising talent from the broadest possible spectrum of professionals. Our continued success has enabled us to build long-standing relationships and to expand our list of contacts in a wide range of communities; this further enhances our ability to deliver. 
+
+London       +44 20 7604 4444 
+New York    +1 212 400 4845 
+Chicago      +1 312 204 7216
+
+Are you looking for a new opportunity? ","Senior Machine Learning (ML) Performance Engineer Austin / Chicago / NYC Our client, one of the world's leading systematic trading firms, is looking to grow their AI offering. This new group will have a pivotal role in the company's future, with this role being responsible for building their Machine Learning infra from the ground-up.They are looking for Machine Learning performance experts who must have the following skills:Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.Deep understanding of computer architectureExperience in programming in C++ and PythonExperience in programming for GPUs or other accelerators such as CUDALinux systems programming experienceLarge-scale distributed trainingIn return, you will work with an amazing peer group that combines Big Tech, Trading & Ivy League alumni. You'll be rewarded with industry-leading compensation and will you have ownership of your projects.If you would like to find out more about this exciting opportunity, please send me your latest resume and I will endeavour to give you a call.",Mid-Senior level,Machine Learning Engineer
+913,2025-04-09,London,London,twentyAI,http://www.twentyai.com,"twentyAI has a vision to unite the power of people, data and technology to transform how organisations grow, scale and diversify. 
+Technology is rapidly evolving, but the talent engagement process hasn't kept up. The challenge is to overcome the increasing complexity of process and compliance whilst still providing a rapid and precise human solution. Many HR tech platforms exist but few can solve these problems. Because recruitment is reliant on people and hiring successfully is immersed in nuance. We are striving to overcome these challenges. twentyAI is powered by data, built for you. ","*We cannot work with employers or utilize C2C for this position*Job Title: Data Scientist (Remote – EST Hours)Type: Contract (4–6 months)Location: Remote (must work EST hours)Department: Data PrivacyA leading financial services organization is seeking a Data Scientist to support critical initiatives within their Data Privacy team. This is a highly collaborative, hands-on role focused on analyzing sensitive data, developing monitoring frameworks, and delivering actionable insights in a highly regulated environment.You’ll be part of a 12-person team, contributing to the protection of confidential information and building out metrics, dashboards, and heatmaps that support data classification and entitlement processes. Ideal candidates have strong technical skills, experience in financial services, and a proactive, detail-oriented mindset.Key Responsibilities:Analyze and interpret complex datasets to generate metrics, dashboards, and intelligence reports tailored to financial services use cases.Design and maintain monitoring processes for data classification and access managementCreate visualizations such as heatmaps and reports to track and report on data privacy compliance.Investigate and resolve findings or exceptions related to sensitive data handling.Work cross-functionally with engineering, data governance, and cybersecurity teams to integrate data science solutions into production workflows.Keep up to date with trends in data science, AI, and financial data privacy best practices.Contribute to the strengthening of entitlements and access controls related to confidential data.Required Skills:5+ years of experience as a data scientist within banking, financial services, fintech, or investment management.Proficiency in Python or R, SQL, and common data science libraries (e.g., Pandas, NumPy, Scikit-learn).Experience with data visualization tools such as Tableau.Strong communication skills, with the ability to convey complex insights to diverse stakeholders.Experience with cloud platforms like AWS, GCP, or Azure.Nice to Have:Background or familiarity with data privacy, information security, cybersecurity, or data governance in the context of financial services or banking.Prior work in environments with strong regulatory or compliance requirements.",Associate,Data Scientist
+914,2025-02-21,San Francisco,,Sardine,https://www.sardine.ai/,"Sardine is the leading AI risk platform for fraud prevention, compliance, and credit underwriting, trusted by enterprises in over 70 countries. Using device intelligence, behavior biometrics, and machine learning, Sardine stops fraud in real time, streamlines compliance, and unifies data across risk teams. Backed by world-class investors and partners including Andreessen Horowitz, Activant Capital, Visa, Experian, Moody’s, and FIS, Sardine is redefining risk management for the real-time economy. Learn more at sardine.ai.","Who we are:We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.Our culture:We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhereWe hire talented, self-motivated individuals with extreme ownership and high growth orientation.We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.About the Role:We are seeking a highly skilled Machine Learning Engineer to lead the development of our device identification and fingerprinting systems. In this role, you will work closely with cross-functional teams to collect and process high-entropy signals from our frontend SDKs, enhance our backend systems, and improve the accuracy and reliability of our device fingerprinting methods.Key Responsibilities:Backend Development: Design, develop, and maintain backend services using Go (Golang) to process and analyze device data.Data Collection Optimization: Collaborate with frontend engineers to refine data collection methodologies using JavaScript and modern browser technologies. Device Fingerprinting: Implement and improve algorithms for device identification using high-entropy signals and probabilistic matching techniques.Data Analysis: Handle large datasets to extract insights and improve matching accuracy.Browser and Technology Monitoring: Stay up-to-date with changes in browser behaviors, APIs, and security features that may impact data collection and fingerprinting methods.Machine Learning Integration: Apply machine learning models where appropriate to enhance device recognition and handle uncertainty.Security and Compliance: Ensure all systems and processes comply with relevant privacy laws and industry best practices.Performance Optimization: Identify bottlenecks and optimize system performance for scalability and reliability.Documentation and Mentorship: Document system designs and processes. Mentor junior team members and promote best practices within the team.Required Qualifications:Minimum of 5 years of professional software engineering experience.At least 3 years of experience in backend development, preferably with Go or a similar language.Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Experience with data processing frameworks and handling large-scale datasets.Experience with machine learning techniques, statistical analysis, or probabilistic modeling to improve device identification reliability and accuracy. Familiarity with Python-based data science tools and libraries (e.g., NumPy, pandas, scikit-learn) is a plus.Familiarity with relational and non-relational databases.Strong problem-solving abilities and analytical thinking.Excellent communication skills, both written and verbal.Ability to work collaboratively in a team environment.Self-motivated with a passion for continuous learning and improvement.Preferred Qualifications:Security Expertise: Understanding of cybersecurity principles, especially related to device identification and fraud prevention.Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure.DevOps Skills: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.SQL Proficiency: Strong SQL skills to query, analyze, and validate data effectively, especially for large-scale datasets.Additional Considerations: Knowledge of JavaScript and familiarity with modern browser APIs, especially in the context of high-entropy data collection for device fingerprinting.Compensation:Base pay range of $180,000 - $220,000 + equity with tremendous upside potential + Attractive benefits.The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.Benefits we offer:Generous compensation in cash and equityEarly exercise for all options, including pre-vestedWork from anywhere: Remote-first CultureFlexible paid time off, Year-end break, Self care days offHealth insurance, dental, and vision coverage for employees and dependents - US and Canada specific4% matching in 401k / RRSP - US and Canada specificMacBook Pro delivered to your doorOne-time stipend to set up a home office — desk, chair, screen, etc.Monthly meal stipendMonthly social meet-up stipendAnnual health and wellness stipendAnnual Learning stipendUnlimited access to an expert financial advisoryJoin a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.",Mid-Senior level,Machine Learning Engineer
+915,2025-04-01,Denver,Colorado,AIQ.com (Alpine IQ),https://aiq.com,"AIQ powers seamless customer loyalty and engagement. We help businesses of all sizes turn their data into personalized experiences across every channel, from email and SMS to loyalty apps and shopping experiences. Our platform is designed to grow your customer relationships, drive repeat business, and increase revenue—all while making it simple and enjoyable.","About Alpine IQAIQ, also referred to as Alpine IQ, was established in 2019 with a clear vision: to revolutionize customer data compliance within heavily regulated industries.Over time, our tool naturally evolved into a comprehensive suite of products designed to address a variety of critical challenges faced by retailers. Our solutions empower businesses to streamline core operations and make informed decisions with ease, eliminating the uncertainties around customer demographics and preferences.We cater to organizations of all scales, from small family-owned enterprises to large publicly listed corporations, ensuring that our solutions are accessible and beneficial to businesses of every size.About The RoleWe’re looking for a Front End Software Engineer (Level 2) to join our fully remote engineering team. In this role, you’ll be hands-on with coding and debugging, collaborating closely with our product and engineering teams to build new features and improve existing ones across both web and native apps.You’ll take ownership of your work from ideation to deployment, and be an active contributor to a high-performing team. We're looking for someone who thrives in a fast-paced environment, is passionate about clean, maintainable code, and enjoys solving tough technical problems.This is a great opportunity for an experienced front-end engineer who wants to grow their impact, mentor junior engineers, and contribute meaningfully to a product with real-world reach.What You’ll DoBuild & Ship: Write high-quality, scalable code for new features across web and native platforms.Maintain & Improve: Refactor and optimize legacy code for better performance and reliability.Troubleshoot: Diagnose and resolve bugs and technical issues quickly and efficiently.Collaborate: Work closely with fellow engineers and product managers to design, scope, and implement new features.Mentor: Support and coach junior engineers through code reviews and knowledge sharing.Innovate: Stay current with emerging front-end trends and suggest ways to improve tooling and workflows.What Success Looks LikeYou're writing clean, well-tested JavaScript/TypeScript code using React and React Native.You're proactively identifying and resolving performance bottlenecks and bugs.You collaborate effectively across teams and communicate clearly.You're mentoring others and contributing to a healthy, inclusive engineering culture.You’re delivering features that align with both technical and product goals.Required SkillsWhat We’re Looking ForStrong proficiency in JavaScript and TypeScriptDeep experience with React and React Native (via Expo)Comfortable consuming and working with REST APIsFamiliar with modern testing frameworks such as Jest, Cypress, and Testing LibraryKnowledge of Git and version control best practicesAbility to write clean, maintainable, and testable codeAwareness of security best practices in software developmentExperience with performance optimization for front-end applicationsBonus SkillsFamiliarity with Next.js and VercelBackend development experience in Go or Node.jsScripting experience (Python, Bash, etc.)Containerization knowledge with tools like DockerExperience collaborating with design teams using FigmaExperience & Education3+ years of hands-on experience as a software engineerBachelor’s or Master’s degree in Computer Science or related field (not required)Why You’ll Love Working Here100% remote team – work from anywhere within the U.S.Collaborative and supportive engineering cultureOpportunities to grow your skills and shape our technical directionMeaningful work with a product that impacts thousands of userReady to apply?If you're excited about building great front-end experiences and want to be part of a driven, remote-first team, we’d love to hear from you.You will need to complete an assessment to be considered for this role. Follow this link:  https://app.testgorilla.com/s/f2ii1rc0The Pay Range For This Role Is110,000 - 120,000 USD per year(US)",Mid-Senior level,Software Engineer
+916,2025-04-04,Redwood City,CA,GoFundMe,https://gfme.co/homepage,"There are a billion good intentions tucked inside each and every one of us. At GoFundMe, we believe that the impulse to help a person, fix a neighborhood, or change a nation should never be ignored. In fact, it should be shared with the entire world. 
+That’s why we make it easy to inspire the world and turn your compassion into action. By giving people the tools they need to capture and share their story far and wide, we have built a community of more than 200 million donors and helped organizers raise over $15 billion for the causes important to them—and we are just getting started. 
+
+Check out current job openings, join our team, and be a part of the change below.
+
+##
+
+GoFundMe has assembled one of the best management teams in the business to build the next leading consumer Internet company, including leaders from LinkedIn, Groupon, and Google. We are also funded by some of Silicon Valley’s best venture capital firms, including Accel, Greylock, and TCV.","Want to help us help others? We’re hiring!GoFundMe is a global community of over 150 million people who come together every day with the common purpose of helping one another. Our mission is to help people help each other through our best-in-class technology. In 2022, GoFundMe joined forces with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, we have empowered people and organizations to raise more than $30 billion since 2010. Our vision is to become the most helpful place in the world.Join us! The GoFundMe team is searching for our next Senior ML Engineer to help design and implement our next generation of machine learning and generative AI-based services. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business.Candidates considered for this position will be located or willing to relocate to San Francisco, CA. This is a hybrid role with expectations to go into the SF office 3x per week.The Job…Lead the development, design, and maintenance of cutting-edge LLM-based applications, ensuring the translation of generative AI research into production-ready technologies.Lead prompt engineering initiatives for LLM-based applications, working closely with product managers and non-technical stakeholders to optimize model performance and meet quality benchmarks.Design and deploy orchestration and evaluation frameworks to ensure high-quality, low-latency generative AI solutions, optimizing performance and reliability for large language models.Design and develop scalable, efficient machine learning training and inference pipelines, ensuring seamless integration with existing production systems and adherence to best engineering practices.Support operational excellence by participating in initiatives to streamline machine learning workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our ML projects and systems.Collaborate closely with ML engineers and cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to foster a culture of collaboration, scientific inquiry, continuous learning, and drive the successful implementation of machine learning projects.Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems.You…4+ years of hands-on experience in machine learning, data science, or related fields, with a strong emphasis on practical engineering applications and deploying robust solutions into production environments.Extensive experience with large language models (LLMs), including fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), and deploying LLMs in user-facing products.Experience designing, developing, and deploying end-to-end machine learning systems, including data pipelines, model training and serving, and monitoring solutions.Demonstrated ability to guide projects and foster a collaborative and high-performing work environment that values continuous improvement and knowledge sharing.Ability to break down complex projects, effectively scope and sequence work, and manage timelines to ensure the timely and successful delivery of machine learning initiatives.Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.A sense of humor is optional but appreciated.Why you’ll love it here...Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, and commuting, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.Community Engagement: Make a difference through our volunteering and Gives Back programs.We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.The total annual salary for this full-time position is $128,500 - $192,500 + equity + benefits. Salary is based on experience and qualifications.If you require a reasonable accommodation to complete a job application, a job interview, or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com.Global Data Privacy Notice For Job Candidates And ApplicantsDepending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you agree to our use and processing of your data as required.Learn More About GoFundMeFor recent company news and announcements, visit our Newsroom.",Mid-Senior level,Senior Machine Learning Engineer
+917,2024-11-04,Denver,Colorado,"Havenly Brands (Havenly, Interior Define, Burrow, The Citizenry, The Inside, and St. Frank)",https://havenlybrands.com/,"Open the door to better living. Havenly Brands is on a mission to redefine how people shop for home. Bringing together best-in-class home brands with inspired and accessible interior design services, Havenly Brands is the modern destination for all things home.","At Havenly Brands, we believe that everyone deserves a beautiful home they love. Founded and headquartered in Denver since 2014, we've grown into the #1 interior design service in the country.We believe home is a place for personal expression – a place that can inspire, comfort, delight, and work hard for you. We believe that a home should be livable, not precious; distinctive, not bland; beautiful, but attainable. That's why we're bringing together best-in-class home brands alongside innovative designer services to offer unprecedented access to personal, inspiring design. We're building this generation's premier destination for all things home.Alongside our award winning design services, we proudly own and operate some of the best home furnishings brands in the business including Havenly, Interior Define, The Inside, St. Frank, and The Citizenry. Our family of brands is growing and we're looking for amazing people to join us on this journey!We are seeking a highly skilled and versatile individual to join our team as a Machine Learning Engineer. This role is pivotal in leveraging our proprietary data to drive the development of data-driven tools and enhance user experiences across our portfolio of interior design and ecommerce brands. The ideal candidate will be a thought partner to the business, possessing a deep understanding of both data science and machine learning techniques to identify opportunities, improve processes, and implement innovative solutions.What you'll do:Research and apply advanced data science and machine learning techniques to tackle challenges such as building recommendation systems, enhancing chat workflows, generating images, extracting features from unstructured data, predicting trends, and more.As part of an agile team, work to identify opportunities to leverage our proprietary data to build data driven tools and experiencesDevelop, train, and deploy machine learning models, aimed at enhancing customer experiences and reinventing designer workflowsConduct exploratory analysis to identify opportunities for developing new featuresEngage in data engineering tasks, including accessing, transforming, modeling, and storing data, to facilitate machine learning training and feature developmentWhat you'll bring:Experience deploying machine learning models to production environments on cloud service providers (preferably GCP/AWS)Proficiency in Python and experience with machine learning frameworks such as Tensorflow, Keras, and Scikit-learn.A strong understanding of Neural Networks and their applicationsStrong understanding of SQL and experience working with data warehouses such as Snowflake or BigQuery.Experience with image processing in ML modelsDemonstrated ability to perform data engineering tasks, including data access, transformation, modeling, and storage, to enable machine learning pipelinesSolid foundation in machine learning, statistics, and data analysis.Innovative mindset with the ability to identify and pursue opportunities for the application of machine learning and data science methods.Excellent communication skills, with the ability to work as a thought partner to various stakeholders across the business.A Masters degree in statistics, computer science, economics, mathematics, or a related field, or 5+ years of related work experienceThis role is designed for a dynamic individual who thrives in a fast-paced environment and is passionate about making a tangible impact through the power of data science and machine learning.Additional Details:This is a full-time remote exempt position. Denver candidates have the option to work hybrid.Targeted compensation range for this role: $160-$190/year, dependent upon experience.Our total rewards package includes competitive compensation, generous PTO, volunteer days off, health benefits (Medical, Dental, Vision, Disability), 401K, paid Parental leave, and Fertility benefits. In addition, we offer free design services, furniture discounts, and merchandise credits.Havenly is an Equal Opportunity Employer. Havenly's employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basis. We are NOT able to provide work sponsorship at this time.As a company, our goal is to make everyone feel good at home and that starts right here, at Havenly HQ. We celebrate our differences and encourage everyone to bring their true selves to work each and every day. Throughout the journey of each of our team members, as a company, we take pride in and commit to ensuring that everyone feels valued, heard, welcome and has equal opportunity to thrive. With the above stated, Havenly is committed to cultivating a diverse and inclusive team. We are open to candidates of all backgrounds and encourage you to apply if interested.",Entry level,Machine Learning Engineer
+918,2025-04-02,Columbus,Ohio,Path Robotics,https://www.path-robotics.com,"Path Robotics was founded by brothers Andy and Alex Lonsberry with a desire to help fill workforce gaps in the manufacturing industry. 
+
+At Path Robotics, we understand manufacturers are constantly being asked to do more with less; more reshoring, more demand, and more requirements with less time, less talent, and less tolerance. We’re helping guide the Fourth Industrial Revolution in manufacturing by providing robotic support to help keep up with those challenges. Our welding robots absorb high-volume, repetitive tasks by leveraging AI and machine learning.  By doing this, we’re putting humans in safe, productive environments that allows manufacturers to increase productivity and grow their business.","Build the Path ForwardAt Path Robotics, we’re attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.Manufacturing demands exceptionally high performance. We're developing intelligent robots to address the long-tail challenges in this industry. This has been a longstanding challenge that traditional robots have been unable to overcome. We are seeking a Senior Machine Learning Engineer with expertise in video generation, neural simulators, large-scale model training, and foundational model development, with a strong understanding of robotics and software engineering. Your expertise will help bring AI-driven robotic capabilities to life, enabling intelligent and adaptive machines.This role can be located in our Columbus, Ohio Headquarters or Remote.What You’ll DoGive our robots a world model where they can learn and imagine. Develop a multimodal neural simulator for manufacturing tasks. Full stack AI engineering including but not limited to data pipelines, model training, and model deployment. Design, train, and optimize large-scale models from scratch for robotic perception and control.Stay up to date with advancement generative AI to improve the fleet performance.Who You AreBuilt and deployed modern AI robotics systems in an industry setting.You have projects related to neural simulators and world models.Experience with training video generation models.Experience with training large models and relevant tooling and infrastructure.5+ years of experience in machine learning, deep learning, and robotics applications.Strong software engineering skills with expertise in Python and ML frameworks (JAX, PyTorch, TensorFlow).Contributed to open-source projects or publications in top-tier robotics/ML conferences.Who We AreAt Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.Why You'll Love It HereFree lunch every dayFlexible PTOMedical, Dental and Vision insurance with 100% coverage on monthly medical premiums for you and any dependents on select plans6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the birthing parent (12-14 weeks total)401K through EmpowerPaid Referral Bonus",Mid-Senior level,"Senior Machine Learning Engineer, Neural Simulator"
+919,2025-04-02,,,Stanford University,,,"The Stanford Center on Early Childhood, an initiative of the Stanford Accelerator for Learning, seeks a full time Data Scientist to join the RAPID Survey Project team. The Data Scientist will manage and oversee analyses of all data collected by the RAPID Survey Project, designing innovative methodologies and identifying opportunities for timely analyses to maximize the use and impact of the RAPID datasets. The person in this role will provide mentorship and guidance to the RAPID Data Analysts.Note: This position is a 1-year fixed term appointment that may be renewed based on performance and funding. This position is eligible for a remote work agreement and travel is required for convenings and events. Interested applicants should submit a resume and a cover letter describing why they are interested in this position at this stage of their career. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position.About UsHoused at Stanford Graduate School of Education, the Stanford Accelerator for Learning is the first university-wide initiative connecting scholars across disciplines and with external partners to bridge research, innovation, practice, and policy, and bring quality scalable and equitable learning experiences to all learners, throughout the lifespan. The Stanford Accelerator for Learning focuses on learning challenges most in need of new discoveries, evidence, and solutions and where we believe Stanford can make the most difference. Those include: adult & workforce learning, digital learning, early childhood education and development, equity in learning, learning differences, and policy & systems change.The Stanford Center on Early Childhood (SCEC) is an initiative of the Stanford Accelerator for Learning. The SCEC leverages the current moment of revolutionary science and fosters deep omnidirectional collaboration across sectors, seeking to change the way that research in early childhood is conducted, communicated, and utilized, with the overarching goal that each and every child thrives from the start.Position SummaryRAPID began as a program of two national surveys of households with children under age 6 and the child care workforce. Led by Philip Fisher, Stanford Center on Early Childhood Director, the RAPID National Survey administers monthly surveys on a rapid-cycle schedule, and has collected data from more than 20,000 households and 12,000 child care providers in all 50 states. The survey and data inform policy, advocacy, academic, parent and practitioner audiences on the experiences, challenges, and strengths of parents of young children and child care providers. The goal is to support parent- and provider-driven policies and programs that equitably and effectively serve families, providers, and young children.RAPID is now implemented in community, state, and national contexts, working in partnership with local organizations and launching oversampling efforts in several states. The RAPID datasets are extensive and quickly growing, and include both quantitative and qualitative data.The person in this role will have responsibility for overseeing and optimizing the analysis and use of RAPID data. The Data Scientist will propose analyses of RAPID survey data, including to identify and pursue relevant and timely findings that may not have been previously explored, and will be a resource in the production of data dissemination products, such as visualizations, fact sheets, and data briefs. The successful candidate will bring extensive methodological experience, technical skill with analysis tools and software, and content knowledge in early childhood development, education, policy, and/or advocacy. The person in this role must be an enthusiastic and communicative collaborator, as this role will interface directly with team members across RAPID and the SCEC, as well as with external collaborators, partners, and advisors. This team member will provide oversight of work product but will not directly supervise staff. This team member will work under the direction of the Director of the RAPID Survey Project and in collaboration with RAPID Program Managers.Independently and with minimal supervision, the Data Scientist will bring creativity and flexible thinking to analyses of RAPID data. The successful candidate will have a demonstrated ability to tailor analyses, visualizations, and tools to meet the needs of different contexts.The Data Scientist will provide mentorship and guidance to the RAPID team of data analysts, who are supervised by RAPID Program Managers, and will regularly review the work product of those analysts. This role will be supervised by the Director of the RAPID Survey Project.Core DutiesLead and own RAPID-wide data initiatives (e.g. models, frameworks, platforms, dashboards).Guide, coach and mentor a high performing team of analysts.Identify, leverage and partner with external stakeholders.Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor compliance with processes that ensure high-quality data.Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.Serve as a resource for non-routine inquiries such as requests for statistics or surveys.Provide documentation based on audit and reporting criteria to investigators and research staff. Minimum RequirementsEducation & Experience:Bachelor's degree and five years of relevant experience or combination of education and relevant experience.Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills And AbilitiesContent expertise in early childhood, education, policy, and/or advocacyExcellent communication skillsAbility to coach and mentor analystsAbility to work in a matrixed team environment, collaborating both with peers with leadership responsibilities, senior leadership and junior team membersDesired QualificationsDoctoral degree or equivalent in relevant fieldAdvanced methodological, statistical, and analytic skillsFlexible and creative thinking about data analysisExperience working with large data sets to identify new topics and approaches for analysisExperience working with a geographically distributed teamExperience with survey research Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.Physical RequirementsSitting in place at computer for long periods of time with extensive keyboarding/dexterity.Occasionally use a telephone.Rarely writing by hand.Working ConditionsSome work may be performed in a laboratory or field setting.Work StandardsInterpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.The expected pay range for this position is $91,609 to $141,317 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.Why Stanford Is For YouImagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.A caring culture. We provide superb retirement plans, generous time-off, and family care resources.A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.Discovery and fun. Stroll through historic sculptures, trails, and museums.Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more!We pride ourselves in being a culture that encourages and empowers you.The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.edu. For all other inquiries, please submit a contact form.Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.How To ApplyWe invite you to apply for this position by clicking on the “Apply for Job” button. To be considered, you must submit a cover letter and résumé along with your online application.Finalist must successfully complete a background check prior to working at Stanford University. This is a fixed-term position with an end date of one year and is renewable based on performance and fundingCandidates must be eligible to work in the US. Visa sponsorship is not available for this position.",Entry level,Data Scientist
+920,2025-04-02,San Francisco,California,Pinterest,https://www.pinterest.com/,"Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 550+ million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments. ","About PinterestMillions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.What You’ll DoBuild cutting edge technology using the latest advances in deep learning and machine learning to personalize PinterestPartner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areasUse data driven methods and leverage the unique properties of our data to improve candidates retrievalWork in a high-impact environment with quick experimentation and product launchesKeeping up with industry trends in recommendation systems What We’re Looking For 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)Nice to have:M.S. or PhD in Machine Learning or related areasPublications at top ML conferencesExpertise in scalable realtime systems that process stream dataPassion for applied ML and the Pinterest productRelocation Statement:This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.Information regarding the culture at Pinterest and benefits available for this position can be found here.US based applicants only$129,818—$267,272 USDOur Commitment To InclusionPinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.",Mid-Senior level,"Machine Learning Engineer, Core Engineering"
+921,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesAbout the TeamThe Marketing Data Science team, part of Marketing Insights & Analytics, is a critical business partner to Global Brand & Communications and Global Marketing. We bridge technical rigor with business strategy, delivering data science solutions that drive marketing efficiency and impact. About the RoleYou will join a team that is responsible for marketing revenue modeling, campaign measurement, and deep-dive analyses to uncover market opportunities. We focus on building, expanding, and automating data science capabilities, influencing top-line budget allocation and shaping TikTok’s marketing strategy at scale.Responsibilities- Bridge technical expertise with business needs by designing scientifically rigorous experiments and translating complex findings into actionable insights for non-technical stakeholders.- Design, conduct, and analyze A/B experiments to optimize marketing campaign performance and guide strategic decision-making.- Develop and maintain reporting dashboards and data pipelines to improve efficiency, enhance cross-organizational synergy, and streamline internal workflows.- Partner closely with marketing and cross-functional teams (research, insights & analytics, product, operations) to improve internal tool alignment and automation.- Define and implement key marketing measurement frameworks, proactively identifying opportunities to improve campaign effectiveness through data-driven insights.- Develop audience targeting strategies based on data science methodologies to enhance marketing precision and impact.- Develop knowledge of marketing strategy and experimentation best practices to expand analytical capability and business impact.- Support marketing research by applying advanced analytics to answer critical business questions and uncover market opportunities.- Influence stakeholders and drive impact without formal authority by leveraging data-driven insights and strategic recommendations.QualificationsMinimum Qualifications- Experience applying scalable analytics solutions in a marketing or growth-related environment.- Strong communication and presentation skills, with the ability to influence decision-making.- Experience working with cross-functional teams, including engineering and product teams, to develop automated solutions.Preferred Qualifications- Familiarity with advanced marketing measurement techniques, such as attribution modeling, incrementality testing, and meta-analysis.- Strong expertise in hypothesis testing, A/B testing, and causal inference methodologies.- Proficiency in SQL and Python or R for data analysis and pipeline development.- Experience designing, maintaining, and optimizing reporting dashboards and data pipelines. - Proven ability to analyze metric movements, identify drivers, and derive insights.- Experience working with non-technical stakeholders, translating data findings into strategic recommendations.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​​Diversity & Inclusion​TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request​Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $140000 - $195000 annually.​Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​For Los Angeles County (unincorporated) Candidates:​Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:​1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​3. Exercising sound judgment.​",Mid-Senior level,"Data Scientist, Marketing Insights and Analytics"
+922,2025-03-07,New York,NY,Bask Health,https://Bask.Health,"Bask, the platform for telehealth, is a compliant, everyone accessible, no-code, software to launch and scale a direct-to-consumer telehealth business. By default, we provide electronic medical records (EMR), payment processing, pharmacy fulfillment and compounding, a website builder, and a patient management system. We are the Shopify for E-Prescribing. ","As a engineer at Bask you will work directly with the CEO and CTO to build and design the software infrastructure that will serve as the backbone of telehealth.We are looking to expand our software engineers, seeking those with deep rooted entrepreneurial spirit.Our serverless platform is built using Next.js, Drizzle and SST for a powerful multi-tenant application.It is important to be fluent in these frameworks, with Typescript and Three.js being a must.What You'll Do Design, build, and implement new services through the full development cycle: write elegant, well-tested code in a modern technology stack. Build libraries and frameworks that can help us build quickly and efficiently, and deliver value to our users Work closely with the product team: make architecture and design decisions, participate in stand-ups, code reviews, and retros, and help contribute and drive the engineering culture that focuses on simple, intuitive, high-impact experiences Be an engineering generalist: from developing servers and databases, to integrating APIs to expand our platforms capabilities, to final Ul implementation, to you'll have the opportunity to take end-to-end ownership and responsibility across the full development lifecycle Build from 0 to 1: You'll have the opportunity to both scale and automate existing services while also bringing new innovations to life. This is unique opportunity to help join a team where you'll be able to both build rapidly, and also contribute to product strategy and development!We are a highly collaborative team.RequirementsWho We're Looking ForThe ideal candidate is a full-stack generalist, and has experience taking a product from 0-1 product. We're looking for someone who's entrepreneurial and willing to roll up their sleeves to get the work done, and passionate about our mission to build a platform that will intensely disrupt the healthcare industry. You are dangerous on the frontend of the stack You are a highly skilled dev (React, TypeScript, Next.js, Three.js) You also have backend skills (SST, Drizzle, SQL, Node) You can work independently and are comfortable owning entire projects and or large areas of the code base Strong experience in building paid products and services is preferred You are a strong communicator - you are able to clearly articulate technical problems, constraints and timelines You are comfortable working in a fast-paced, unstructured, startup environment",Entry level,Front-End Software Engineer
+923,2025-04-09,,,Venus Labs,http://venus.io,"Venus Protocol (“Venus”) is an algorithmic-based
+money market system designed to bring a complete decentralized
+finance-based lending and credit system onto Binance Smart
+Chain. ","Launched in 2020, Venus Protocol (a.k.a. “Venus”) pushed the edges of decentralized finance through its composition of two pre-existing solutions and deployment on BNB chain, lowering the barrier to entry for millions of new users around the globe. By combining the stablecoin minting facility introduced by Maker and algorithmic money markets developed by Compound, Venus simplified the user experience and provided core capabilities that enabled decentralized finance to flourish in a single application. As a result, Venus found remarkable success and quickly rose to be one of the most widely used decentralized applications in web3.Job Responsibilities:Run SQL queries and Python data science scripts to build business reportsSource data from disparate sources, including SQL databases, graphQL APIs, and blockchain nodesCreate reports highlighting key metricsCollaborate with team leaders on business strategies and determining OKRsAssist developers in implementing data collection and analysis tool improvementsIdentify and advocate for team-wide areas of improvement and best practicesJob Requirements:Job Requirements:Advanced Degree in Computer Science, Mathematics, Statistics, Engineering, Physics, or Economics3+ years of experience in a similar role with at least 2 years working on a chainPrior experience generating insights across protocol risk management, Tokenomics, or mechanism designCapable of building predictive analytics, forecasting, or statistical modelingFinancial analysis experience affecting decisions regarding millions or billions of dollars in assets or investmentsAdvanced to expert SQL skillsModerate to advanced Python data science skillsKnowledge of EVM based blockchains and smart contract mechanicsGood to have:Experience with DeFi architectureExperience with GraphQLExperience with SolidityExperience with cadCAD, or other systems modeling programs",Not Applicable,Quant / Data Scientist
+924,2025-04-03,Los Gatos,CA,Netflix,https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin,"Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.","Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.The OpportunityThe Model Observability & Lifecycle Management team’s centralized MLOps platform multiplies the productivity of both the Machine Learning Platform (MLP) organization and all ML researchers across Netflix. We maintain the reliability of ML applications by building systems to catch and diagnose issues as soon as possible, sometimes before they even happen!The Build and Release (B&R) group within OLM is building a novel monorepo environment to provide build, testing, CI/CD, and developer tooling for our ML engineers and researchers. Engineers enjoy standardization in build toolchains, dependency management, runtime version migrations, and documentation tooling, allowing them to focus on their work, not wrangling their tools.We are seeking strong build engineers with experience with B&R best practices at scale. Our work supports B&R operations for our most critical applications, such as real-time inference services, feature computation and serving, ML model representations, and much more. You’ll play a foundational role in establishing the practices used by hundreds of engineers and ML researchers across dozens of use cases. Our team is small and growing, so you’ll mentor incoming B&R engineers as they grow into their roles supporting our organization.To be successful in this role, you must have a strong software engineering background, a keen sense of software design, and experience operating large CI/CD systems.Snapshot Of Projects You May Work OnHelp make foundational technology decisions with an eye toward large-scale repository management. Define best practices for large-scale monorepos, influencing how hundreds of engineers work daily. Anticipate and prepare for scaling opportunities as our repository grows beyond the capabilities of existing tools, such as build time reductions, flaky test handling, build tool migrations, and more. Onboard existing repositories as they enter the monorepo, including harmonizing their homegrown toolchains with our standardized offers. Expand B&R support to accommodate new languages. We currently support Java and Scala, and are expanding to Python. Support teams with company-wide migrations and version upgrades, such as build and runtime environment versions and library versions. Work alongside company-wide build experts to incorporate existing company-wide tools into our environment. Create measurement harnesses to measure build performance, mean time to failure, and other critical developer velocity metrics. We Would Love To Work With You IfYou have at least four years of experience directly managing build, CI/CD, and release tooling, preferably in a monorepo context in which these offerings are provided as a service You have proficiency in managing large projects in Gradle as well as cross-language build tools such as Bazel or Pants You have experience developing build and release operations for large repositories featuring dozens to hundreds of independent but interlinked projects You have extensive experience with Java and/or Python B&R methodologies You have a passion for evolving B&R best practices in response to empirical performance and developer velocity measurements Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $558,000KNetflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.Netflix has a unique culture and environment. Learn more here.Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.",Not Applicable,"Software Engineer L5, Build and Release Tools, Machine Learning Platform"
+925,2025-04-04,Knoxville,TN,Tombras,http://www.tombras.com,"Tombras is a 450+ person, full-service agency with a digital mindset. We are one of the top independent agencies in North America. We are united by our philosophy: Connecting Data & Creativity for Business Results.®
+
+
+2023 AdAge A-List Standout 
+2022 ADWEEK US Agency of the Year (Finalist)
+2021 Fast Company World Changing Ideas
+
+
+Clients include Orangetheory Fitness, MoonPie, BUSH's Beans, Rolls-Royce, Pernod Ricard, Frito-Lay, Zaxby's
+
+
+
+","Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided.The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing:Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the resultsDevelop the framework and approach for marketing science and develop bespoke offeringsEmploy best in class tooling to develop proprietary Martech in partnership with the Technology and Media practicesIdentify new and innovative data sets that can be used to improve existing modeling work, or deliver net new modelsClearly articulate statistical results to clients, ultimately leading to continued client engagement and implementationWhat you bring:M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research(Optional) Experience in marketing science or advertising analyticsMastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice ModelsStrong competency with python, R, SQL, and other commonly used statistical toolsClient services mindsetAbility to influence clients and partner agencies to act on insightsAbility to distill complicated information into succinct graphical presentations for senior stakeholdersWhy Join Tombras Analytics?Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.Why you’ll want to work at Tombras:You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You’ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.Tombras Benefits:Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly officesUnlimited PTOGenerous parental leave for primary and non-primary caregivers.Medical (PPO or High Deductible option) for employee + dependents401(k) ParticipationEmployer-paid Dental & VisionA company culture of promotions from within and an atmosphere allowing for varied and rapid career development.New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values.Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.Tombras is an E-Verify employer and participates in the E-Verify program.This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.",Not Applicable,Data Scientist
+926,2025-04-03,Mountain View,California,Applied Intuition,https://www.appliedintuition.com,"Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines.
+
+Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market.
+
+18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo.","About Applied IntuitionApplied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the AI-powered ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition’s solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: this is not applicable for EpiSci roles).About The RoleWe are looking for a software engineer to join our team working on the incorporation of modern machine learning approaches into production-grade sensor simulation. In this role you will work with our research team to apply state of the art approaches to model worlds and sensors such as Lidars, Radars and Cameras. While experience in machine learning is required, candidates with a background in perception or other relevant physics or graphics fields are encouraged to apply.At Applied Intuition, you will:Drive research and development of incorporation of generative and other machine learning techniques into our sensor simulator.Work closely with rendering and physics-based modeling teams in building novel approaches fusing the best of all techniques.Focus on projects with clear path to production value and customer impactWe’re looking for someone who has:3+ years of experience building software components or (sub) systems that address real-world machine learning challengesA passion for turning their domain expertise into tooling that boosts the productivity of teams working on various real-world applications of autonomous systemsHands-on experience with more than one domain relevant software frameworks or tools, such as middleware, benchmarking suites, data sets and related pipelines, or common AI librariesDeep understanding of machine learning foundations who can apply various techniques to new problemsExperience working with production level ML and DL perception algorithmsNice to have:Experience working with Lidar, Radar, or Camera data using modern approaches to perception MSc or PhD in computer science with a focus on artificial intelligence or closely related fieldDeep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, deep learning, generative modeling, distributed systemsExperience building and shipping software frameworks or toolsCompensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $222,000 USD annually.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.",Mid-Senior level,Machine Learning Engineer - Sensor Simulation
+927,2025-03-11,London,,NJF Global Holdings Ltd,https://www.njf.com,"NJF is a tech-focused company whose by-product is recruitment. Our reputation among many of the world’s leading institutions has resulted in a prolific demand for our services and the continued expansion of our international network. 
+
+NJF’s focus is within the Trading and Technology markets. Our interrelated teams employ rigorous research methodologies to ensure that we are at the forefront of the latest trends in both spheres. Our consultants are devoted to unearthing world-class talent and guiding the right people into the right jobs. 
+
+At NJF, we make the individual our priority. This, in turn, strengthens our comprehensive knowledge of the market and drives our continuous research effort. 
+Along with taking the time to gain a deep understanding of each candidate’s technical skills and market experience, we also get to know them as people. This ensures that our efforts result in a long-term, lasting relationship for both client and candidate. 
+
+Our Trading Practice coordinates the careers of high-performing traders, quants and data scientists across the upper echelons of quantitative managers: hedge funds, proprietary trading organizations and tech firms.
+
+Our Technology Practice has a track record of finding the very best developers and infrastructure experts to build world-class systems and frameworks for high frequency proprietary trading firms, hedge funds and technology start-ups. We recognize that organizations want their staff to reflect the world’s diverse population. We are committed to identifying, attracting and cultivating promising talent from the broadest possible spectrum of professionals. Our continued success has enabled us to build long-standing relationships and to expand our list of contacts in a wide range of communities; this further enhances our ability to deliver. 
+
+London       +44 20 7604 4444 
+New York    +1 212 400 4845 
+Chicago      +1 312 204 7216
+
+Are you looking for a new opportunity? ","Senior Machine Learning (ML) Performance Engineer Austin / Chicago / NYC Our client, one of the world's leading systematic trading firms, is looking to grow their AI offering. This new group will have a pivotal role in the company's future, with this role being responsible for building their Machine Learning infra from the ground-up.They are looking for Machine Learning performance experts who must have the following skills:Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc.Deep understanding of computer architectureExperience in programming in C++ and PythonExperience in programming for GPUs or other accelerators such as CUDALinux systems programming experienceLarge-scale distributed trainingIn return, you will work with an amazing peer group that combines Big Tech, Trading & Ivy League alumni. You'll be rewarded with industry-leading compensation and will you have ownership of your projects.If you would like to find out more about this exciting opportunity, please send me your latest resume and I will endeavour to give you a call.",Mid-Senior level,Machine Learning Engineer
+928,2025-03-22,San Francisco,California,Tecton,https://tecton.ai,"Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready AI data platform to help companies activate their data for AI applications. 
+
+AI creates new opportunities to generate more value than ever before from data. Companies can now build AI-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. 
+
+But AI models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage AI data. Most companies don’t have access to the advanced AI data infrastructure that is used by the Internet giants. So AI teams spend the majority of their time building bespoke data pipelines, and most models never make it to production.
+
+We believe that companies need a new kind of data platform built for the unique requirements of AI. Tecton enables AI teams to easily and reliably compute, manage, and retrieve data for both generative AI and predictive ML applications. Our platform delivers features, embeddings, and prompts as rich, unified context, abstracting away the complex engineering involved in data preparation for AI. With Tecton, companies can:
+
+1. Productionize context faster, getting new models to production 80% faster
+2. Build more accurate models through rapid data experimentation and 100% accurate context serving
+3. Drive down production costs by turning expensive workloads into highly efficient data services
+
+We believe that by getting the data layer for AI right, companies can get better models to production faster, driving real business outcomes. Tecton enables organizations to harness the full potential of their data, creating AI applications that are contextually aware and truly intelligent.","Tecton helps companies unlock the full potential of their data for AI applications. The platform streamlines the complex process of preparing and delivering data to models. With Tecton, AI teams accelerate the development of smarter, more impactful AI applications.Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.We are building Rift ( talk , blog post ) - a new fully managed compute environment that allows data scientists to construct powerful batch and streaming pipelines in Python. Our new environment leverages popular open-source technologies such as Ray, Arrow, and DuckDB. We also have deep integrations with Spark platforms (Databricks, EMR, Dataproc) and data warehouses (e.g. Snowflake, BigQuery, RedShift), along with performant training data pipelines and a workload orchestration platform.As a senior engineer on the Batch Data team, you’ll play a critical role in architecting, designing, and scaling the core compute engines and storage architecture used by every Tecton customer. You'll contribute to the performance of our query optimizer, from parsing & optimization to plan selection. Think of this team as the “beating heart” of Tecton.This role is a unique opportunity that combines customer-obsessed product focus with platform and data engineering innovation and helps companies accelerate their path to real-time AI. You will be working in one or more of the following areas to build the next generation of Tecton infrastructure: Distributed compute and resource management Query optimization and distributed execution Cross-platform integrations with state-of-the-art data platformsThis position is open to candidates based near our hubs in San Francisco, New York City, and Seattle.ResponsibilitiesOwn and lead significant technical domains starting from the problem definition and technical requirements to implementation and maintenanceLead projects of strategic importance to Tecton spanning cross-functional teams including product management and other engineering teamsDrive efforts to improve engineering practices, tooling, and processes along with mentorship for junior engineersDevelop a deep understanding of the fundamental problems our customers face in building ML systemsBe a generalist as needed. We’re a small, but growing engineering team and each engineer needs to be versatileQualificationsExperience working in large Python, Java, Kotlin, or Go codebases and running cloud-native Spark systems (e.g. AWS EMR, Databricks, GCP Dataproc)Experience in performance tuning of Spark, Ray, Maestro, or Airflow jobsKnowledge of data formats such as Parquet, Avro, Arrow, Iceberg, or Delta Lake and object storage (e.g. S3, GCS)Expertise with cloud-scale query performance, query optimization, query planning, heuristic query execution techniques, and cost-driven optimizationsExperience with internals of distributed systems, SQL/NoSQL databases, data lakes, or data warehousesStrong communication skills and ability to write detailed technical specificationsExcitement about coaching and mentorship of junior engineersBSc, MS, or PhD in Computer Science or related fields8+ years of experience in building product software systems$197,000 - $237,000 a yearThe estimated US base salary range for this position is $197,000 - $237,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.Tecton is a remote-friendly company that employs a hybrid working policy for employees based in the SF, NY, and Seattle areas. We believe that working in-person helps us stay connected, collaborate faster, and promote a strong culture while still providing the flexibility of working from home. We expect SF & NY employees to be in the office at least two designated days per week, and those in the Seattle area at least two designated days per month..Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.",Mid-Senior level,"Software Engineer, Batch Data"
+929,2025-04-03,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionAs part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.Are you excited about developing state-of-the-art Deep Learning, Computer Vision and GenAI models using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? You enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before. Along the way, you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impacts.Key job responsibilities Quickly acquire knowledge of cutting-edge technologies in deep learning and computer vision to solve complex problems in the biometrics domain to ensure accuracy and latency. Collaborate with applied scientists on developing algorithms and scaling machine learning models. Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications.About The TeamAmazon One under AWS provides innovative biometric identity solutions for customers, offering seamless, contactless palm-based authentication with the same on-demand scalability, reliability, and machine learning expertise that drive Amazon services. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2945379",Not Applicable,"Machine Learning Engineer, Amazon One"
+930,2025-04-01,Seattle,Washington,Zillow,http://www.zillow.com,"Join our mission to give the people power to unlock life’s next chapter. We’re looking for smart, passionate people to join our largely distributed workforce as we reimagine the real estate transaction and change the way people buy, sell, rent and finance their homes.
+
+Our homes are the heartbeat of our lives, and we believe that finding a home shouldn’t be so hard in today’s always-on world. That’s why we’re reimagining the traditional rules of real estate to make it easier than ever to move from one home to the next. Our journey began nearly 15 years ago with a handful of employees and one big idea: to make it radically easier for people to move. We began by helping people understand and track their homes’ values with the Zestimate, our proprietary algorithm, and then with advanced technology and valuable connections with real estate professionals. 
+
+Today, Zillow has become a household name; “Zillow” is Googled more frequently than “real estate.” We believe that the time for a seamless and convenient real estate experience is now. This is Zillow’s next chapter.
+","About The TeamAt Zillow, our mission is to give people the power to unlock life’s next chapter. Zillow’s AI Org plays an important part in delivering unique AI-powered experiences for the hundreds of millions of customers who visit Zillow websites each month.The Decision Engine AI team will be leading the efforts to streamline the loan production process, enable a fully digital financing experience, and provide consistent, unbiased, and personalized loan recommendations. It will make the home-buying process less daunting and more manageable while allowing Loan Officers to specialize differently, focusing more on emotional intelligence and less on mortgage-specific training.As a Senior Machine Learning Engineer (MLE) on the Decision Engine AI team, you’ll be partnering with a highly skilled group of applied scientists, software developers, and machine learning engineers working together toward a bold and audacious goal.About The RoleWe are seeking a collaborative, customer-focused, and product-minded engineer and scientist with deep experience with applied machine learning. You are a roll-up-the-sleeves and get-it-done engineer with a deep understanding of, and are constantly learning about, new techniques in modeling, ML frameworks, and ML infra. You excel at prototyping new ML applications and optimizing impact, performance, and efficiency in production.Apply a growth-mindset and first principles to ambiguous customer problems to rapidly iterate on novel solutions and ways of working. Collaborate closely with applied scientists, engineering, design and research to understand, scope, design, prototype, implement and iterate on internal and external facing systems supporting and implementing next generation AI applications. Lead efforts to deploy machine learning applications into production. Cultivate connections with other teams for critical dependencies and infrastructure. Contribute to carrying and growing our team culture of rapid innovation and creative frugality. This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Washington state, and Washington DC the standard base pay range for this role is $168,600.00 - $269,400.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Washington state, and Washington DC and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.Who you areProficiency with a high-level programming language (we most commonly use Python and PySpark)Strong understanding of Machine Learning and Natural Language Processing fundamentalsExperience with Machine Learning tools and Frameworks (e.g. PyTorch, Transformers, XGBoost, scikit-learn, etc.)Hands-on experience with cloud computing platforms such as AWSStrong understanding of software design patterns, principles, architecture, and operationsComfortable in a small team/fast-paced environmentExperience prototyping, developing, and implementing algorithmic solutions and new technologies with diverse analytics and data. Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, and DataBricks. Practiced technical ability and passion for both owning implementation and contributing technical/thought leadership for a team of world-class scientists engineers. Bachelor's degree or equivalent experience in Computer Science, or a related field. Bonus Qualifications:Experience with generative AI or large language models and related technologies (knowledge retrieval solutions, for example). Experience with regulated, private or sensitive data, document understanding, bandit algorythms, or reinforcement learning. Experience collaborating with science, engineering, design, research and product partners in a team with a startup culture. Advanced degree (M.S. or Ph. D.) or equivalent experience in Computer Science or Engineering, Machine Learning, or related field. Get to know usZillow is reimagining real estate to make home a reality for more and more people.As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.",Mid-Senior level,Senior Machine Learning Engineer - Decision Engine AI
+931,2025-04-02,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities:Participate in the improvement of the search core algorithm, possible directions include: Content understanding/matching: Applying the industry's cutting-edge NLP and CV technology to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of ""relevant"", and understand users better. Video understanding: comprehensive use of NLP, CV, and other technologies for better video understanding from the perspective of the video itself and social network, improve the authority, credibility, and usefulness of search results.QualificationsMinimum qualification: Current or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Proficient coding skills and strong algorithm & data structure basis. Effective communication and teamwork skills. Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $137750 - $237500 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (Data-Search-TikTok Recommendation - Seattle) - 2025 Start (PhD)
+932,2024-12-17,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer, Machine Learning Responsibilities:Leading projects or small teams of people to help them unblock, advocating for ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapsCode deliverables in tandem with the engineering teamMinimum Qualifications:6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical fieldExperience with scripting languages such as Python, Javascript or HackExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scriptsExperience building and shipping high quality work and achieving high reliabilityTrack record of setting technical direction for a team, driving consensus and successful cross-functional partnershipsExperience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experiencePreferred Qualifications:Masters degree or PhD in Computer Science or another ML-related fieldExposure to architectural patterns of large scale software applicationsExperience with scripting languages such as Pytorch and TFAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Machine Learning"
+933,2024-08-03,Princeton,NJ,"AppLab Systems, Inc",http://applabsystems.com,"AppLab Systems has a strong reputation as a Recruitment, Staffing, Healthcare and information technology consulting company. We assist enterprises, organisations and government agencies maximise their corporate information in their database using best in breed, best in class Business Intelligence software solutions.. 
+
+ Our values are integrity, leading change, excellence, and respect for the individual, learning and sharing. Our success is based on our ability to be flexible while adhering to a strict project management methodology. Large and small organisations alike enjoy our personalised, highly responsive customer service ALS Inc. is your partner for a wide spectrum of IT services including Information Systems Strategy Planning, Quality Assurance , Customized Software Solutions, Packaged Software Implementation, Migration, Web Solutions, Porting and Staff Augmentation.
+
+           We have created an environment for our clients resulting in improved efficiency, reduced costs, deliverable ahead of schedule and customer satisfaction.. ALS Inc is a leading information technology (IT) services company that specializes in providing complete consulting solutions and staff augmentation to its clients. We provide on-time, on-budget, quality service to our clients and consistently meet their expectations. We are known for our superior execution on a sustained basis.
+
+      Our Business Intelligence offerings integrate data from various services to power precise analyses - product profitability, detailed customer profiles and spending habits. ALS Inc empowers your decision makers by delivering the information needed to stay ahead in competitive industries. World class analytical expertise, best-of-breed BI package proficiency, rigorous business methodologies - ALS Inc gives the solutions you are looking for..","Machine Learning EngineersLocation: Austin, TX(W2 contract only no C2C/C2H)Job Description.Minimum 6-8 years of experience in machine learning and computer vision, with a proven track record in image processing and analysis.development and optimization of Computer Vision algorithms and Client models Continuously refine Client models to improve accuracyCollaborate with cross-functional teams to integrate AI/Client features into the application.Skill RequirementsProven hands-on experience in Python programming.Proficient in programming languages relevant to AI/Client development ( TensorFlow, PyTorch).Strong proficiency in machine learning concepts and practical application.Familiarity with data analytics packages including pandas, NumPy, and scikit-learn.Intermediate knowledge in statistics for data analysis and interpretation.Ability to create insightful and visually appealing graphs using tools like Matplotlib or Seaborn.Collaborative mindset with excellent communication skills to work effectively in a team.has context menuResponsibilitiesDevelop and maintain Python-based applications, leveraging expertise in Python programming.Implement and optimize machine learning models for data analysis and insights generation.Utilize data analytics packages such as pandas, NumPy, and scikit-learn for efficient data manipulation and processing.Work collaboratively with cross-functional teams to understand business requirements and translate them into technical solutions.Apply intermediate knowledge in statistics to analyze and interpret complex datasets.Create visually appealing graphs and visualizations to communicate findings effectively.",Entry level,Machine Learning Engineer
+934,2025-04-01,Burnaby,BC,Clio - Cloud-Based Legal Technology,https://www.clio.com,"Clio is the world's leading provider of cloud-based legal technology, providing lawyers with low-barrier, affordable solutions to manage and grow their firms more effectively, more profitably, and with better client experiences. Our products redefine how lawyers manage their firms by equipping them with the tools they need to run their firms securely from any device, anywhere.
+
+For over 16 years, we have been at the forefront of creating innovative, cloud-based solutions tailored to the unique needs of the legal industry. Clio is the legal industry’s only end-to-end software solution for law firms, powering every aspect of the client journey from intake to invoice. Through our innovative platform design, Clio centralizes multiple products, legal payments, technology integrations, and legal workflows in one operating system, so legal professionals can focus on doing what they do best—lawyering.
+
+We have earned the endorsement from over 100+ law societies and bar associations around the world, including recognition from all 50 state bar associations in the United States. We take immense pride in the fact that Clio has the most 5-star reviews of any legal practice management software.
+
+With global headquarters in Vancouver, Canada, Clio boasts a diverse and talented workforce of 1,200 employees and has offices in Toronto, Calgary, Dublin, and Sydney. Our impact reaches far and wide, with more than 150,000 legal professionals that use our technology, spanning across 130 countries. Our robust ecosystem includes partnerships with over 280 app integration partners and 100 Clio Certified Consultants.","Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.Summary:We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact.This role is available to candidates across Canada (excluding Quebec) and the US. If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum twice per week on one of our Anchor Days.What your team does:We at Clio have an amazing team that is on a mission to transform the legal experience for all, and our engineering team’s goal is to deliver an incredible experience to our customers. In the AI team in Clio, we use the latest technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients’ needs.A day in the life might look like:Develop advanced machine learning models using structured and unstructured data to improve Clio’s customer’s experienceCreate LLMs based solutions to help Clio’s clients to save time and create efficienciesCollaborate cross-functionally with engineering, product management, operations and data science to identify new ML-driven features for Clio customersWork in an agile environment with our team of machine learning engineers, MLOps engineering and full stack developers across a variety of projectsWhat you may have:Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models;Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets;Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini;A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers;A portfolio of past projects showcasing your successes, challenges, and growth as a machine learning expert;Exceptional communication skills and the ability to build trust with both internal teams and external customers;A strong desire to continuously learn, challenge yourself, and refine your craft as a machine learning engineer.What you will find here:Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.Some highlights of our Total Rewards program include: Competitive, equitable salary with top-tier health benefits, dental, and vision insurance Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days. Flexible time off policy, with an encouraged 20 days off per year.$2000 annual counseling benefitRRSP matching and RESP contribution Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The full salary range* for this role is $123,250 to $145,000 to $166,750 CAD.Please note there are a separate set of salary bands for other regions based on local currency.We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency.Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.Learn more about our culture at clio.com/careers",Entry level,Machine Learning Engineer
+935,2025-04-04,Wimbledon,London,Harnham,http://www.harnham.com,"Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com 
+
+Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. 
+
+Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.
+
+Our five core services:
+
+* ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a 
+
+* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
+
+* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
+
+* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
+
+* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.","Machine Learning EngineerAI & Cloud OptimizationNew York City – Hybrid$160,000 – $200,000 + Equity & BenefitsWe are working with a venture-backed AI startup redefining how companies manage their cloud costs in an era of explosive AI-driven growth. With billions spent annually on cloud infrastructure—often tracked with outdated tools—this company is building intelligent systems that bring clarity, automation, and financial control to cloud spend. Their platform is already trusted by industry leaders and built for scale across AWS, GCP, and Azure.The Role:This is a hands-on, senior-level position where you’ll drive AI product development from 0 to 1. As a Machine Learning Engineer, you’ll partner closely with the CTO and founding team to design and implement LLM-powered features, forecasting models, and intelligent automation capabilities that directly impact customer outcomes.Responsibilities include:Designing, deploying, and optimizing machine learning models for cloud spend forecasting, anomaly detection, and cost controlBuilding and integrating LLMs to power Agent-style chat interfaces and automation toolsDeveloping secure, scalable ML infrastructure across multiple cloud platformsDriving full-cycle ML projects—architecture, development, deployment, monitoring, and iterationCollaborating with product, engineering, and leadership teams to align AI development with business prioritiesExperimenting with new techniques in generative AI, model optimization, and real-time inferenceRequirements:We’re looking for a startup-minded ML engineer with strong technical depth and a bias toward action. You should have:5+ years of experience in machine learning, AI model development, and infrastructure deploymentFluency in Python, with experience in tools like PyTorch, Hugging Face, LangChain, and TerraformA proven ability to deploy ML models at scale across distributed cloud systemsExperience working with LLMs and open-source models (e.g., Llama, Mistral, Falcon)An understanding of AI security best practices and a commitment to building responsiblyStrong communication skills and the ability to convey complex ideas clearly and confidentlyComfort in high-ambiguity, fast-paced environments where you’ll help define the roadmapBenefits:As a Machine Learning Engineer, you can expect:$160,000 – $200,000 base salaryEquity in a high-growth companyUnlimited PTO and flexible work policyThis is a rare opportunity to shape the future of AI-enabled cloud infrastructure—building real systems, for real users, from day one.",Associate,Machine Learning Engineer
+936,2025-03-26,San Jose,CA,Adobe,http://www.adobe.com,"Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.","Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity This role is part of Adobe’s Global Marketing Organization (GMO), specifically within the Growth Marketing and Insights organization (GMI). We are seeking a highly experienced Machine Learning Engineer to design, develop, and deploy advanced causal Marketing Mix Models (MMM) for Adobe’s global businesses.These models are crucial for guiding Adobe’s quarterly and yearly marketing budget decisions and generating insights that drive business growth. The primary goal of this role will be to build foundationally solid models that can be refreshed frequently in the production environment. This role will collaborate with cross-functional teams, including analytics, marketing execution, and engineering. What you'll  do  Develop both descriptive and predictive MMMs that accurately measure the incremental impact of marketing and non-marketing drivers  Expand our modeling solutions to support a growing number of geographic locations and product groups  Integrate additional measurement methodologies and data to ensure accurate measurement of marketing return on investment  Balance technical capabilities with practical business needs  Measure both short- and long-term impact of marketing to guide budget allocation across funnel stages to drive sustainable business growth  Communicate model results effectively to partners and executives  Continuously improve modeling techniques and capabilities as the analytical landscape evolves  Contribute to the overall growth of the team! Requirements MS/PhD in Economics, Statistics, Physics, Mathematics, Computer Science, or a related quantitative field  3-4 years of experience in developing and operationalizing MMM and marketing science solutions  Strong technical expertise in MMM and ML algorithms, with the ability to connect model insights to business outcomes  Experience with experimentation/causal inference methods  Experience in deploying models from development to production environments  Proficiency in ML programming languages like Python, R, etc. and data querying languages ( e.g. SQL)  Experience with cloud platforms for scalable model training and deployment  Ability to balance practical business needs with technical possibilities  Strong communication skills and the ability to explain technical terms to business stakeholders  Ability to build positive working relationships and collaborate in cross-functional teams  A curious mind, passion, and motivation to learn new skills, tools, and techniques! Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12:01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.",Mid-Senior level,Machine Learning Engineer - Marketing Mix Modeling
+937,2025-04-07,Boston,MA,Lendbuzz,http://www.lendbuzz.com,"Lendbuzz is an AI-based auto finance platform that helps consumers obtain fair access to credit when purchasing a car. Powered by alternative data and machine-learning algorithms, Lendbuzz can assess the creditworthiness of consumers whose credit scores range from good to non-existent—a group totalling some 100 million people—yet despite their massive numbers are underserved by traditional loan processes. Lendbuzz supports the success of their dealership partners through consumer loans that help those dealers reach a more diversified client base, together with competitive floorplanning options that help them grow their businesses. Lendbuzz is headquartered in Boston, Massachusetts and was founded in 2015.
+
+All loans are made by Lendbuzz Funding, LLC.
+NMLS ID #1636296","At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.We're looking for a dynamic Software Engineer (Frontend) to join our team. As a key member, you will lead agile development cycles from inception to deployment, ensuring our systems are optimized for scalability and performance. Collaboration is key; and you'll work closely with cross-functional teams to enhance user experiences and streamline workflows. An ideal candidate will bring a strong architectural mindset, a passion for AWS and cloud technologies, and the ability to automate processes for maximum operational efficiency.This position primarily emphasizes frontend development, comprising approximately 80% of the workload, with the remaining 20% dedicated to backend tasks.Key Responsibilities:Participate in all aspects of agile software development, including design, implementation, and deploymentArchitect and provide guidance on building end-to-end systems optimized for speed and scaleWork primarily in React, Node.js and Ruby to improve our user re-payment experienceImprove visibility across frontendEngage with inspiring designers and front-end engineers, and collaborate with leading back-end engineers as we create reliable APIsCollaborate across time zones via Slack, GitHub comments, documents, and video conferencesAnalyze manual processes and automate them whenever possible to ensure a smooth operation of workflowsWork in partnership with fellow developers on implementing new ideas, features, and appsCollaborate with product management, quality assurance, customer support, and fellow software engineers to deliver features that meet our customers’ needsResearch and prototype new technologies that can improve pipelines and build processesPerform additional tasks and/or duties as assignedRequirements:Bachelor’s degree required4-7 years of experience building React-based frontend applications and web appsStrong focus on design, code quality, and user experience, with a curiosity for frontend technologies like NextJSProficient in React, Node.js, TypeScript, and designing/integrating RESTful APIs; knowledge with Ruby is a plusComfortable across all stages of the product life cycle - analysis, design, coding, testing, and troubleshootingStrong debugging, optimization, and unit/integration testing experienceWe believe:Diversity is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.Compassion is a strength. We care about our customers and look to build long-term relationships with them.Simplicity is a key feature. We work hard to make our forms and processes as painless and intuitive as possible.Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions.Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity.If you believe these things too then we would love to hear from you!",Not Applicable,Software Engineer (Frontend)
+938,2025-04-03,Washington,DC,CAVA,https://try.cava.com/linkedin,"At CAVA, we work every day to bring heart, health, and humanity to food.
+
+Apply: cava.com/careers 
+Follow us: @CAVA
+Find your closest CAVA: cava.com/locations","Company Profile: At CAVA we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity and the pursuit of excellence in everything we do. We are working towards something big, together.We foster a culture built on five core values: Generosity First, Always: We lead with kindness. Our best work happens when we act in service of others.Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious.Act with Agility: We welcome change; it’s the only constant. We embrace, adjust, adapt.Passion for Positivity: We greet each day with warmth and possibility.Collective Ambition: We have high aspirations that are achieved when we work together with a shared purpose.Senior Visualization Engineer Are you passionate about bringing the CAVA experience to life through data? Are you a data visionary with a passion for transforming numbers into compelling stories? We're seeking a talented Tableau Admin and Visualization Engineer to join our team and unlock the power of our data.As a Tableau Admin and Visualization Engineer at CAVA, you'll be at the forefront of data-driven decision-making, crafting insightful visualizations that drive business growth and enhance the guest experience. You'll collaborate closely with cross-functional teams to uncover hidden trends, optimize operations, and elevate our brand. Your expertise in Tableau administration will ensure data accuracy, accessibility, and security, while your creative flair will bring our data to life through captivating visualizations. You'll play a crucial role in transforming data into actionable insights that fuel our business decisions. You'll work closely with our teams to create stunning visualizations that tell the story of our brand and help us deliver exceptional experiences for our guestsWhat You’ll Do: Tableau Administration:Manage and maintain Tableau Server environment, including installation, configuration, and upgrades.Optimize Tableau Server performance and scalability.Implement and enforce security measures to protect sensitive data.Troubleshoot and resolve Tableau-related issues.Data Visualization:Design, develop, and maintain interactive dashboards and reports using Tableau Desktop.Collaborate with business users to understand their data needs and translate them into effective visualizations.Optimize Tableau visualizations for performance and usability.Provide training and support to end-users on Tableau tools and best practices.Data Integration:Connect Tableau to various data sources (databases, spreadsheets, cloud-based data) and ensure data integrity.Optimize data extraction and loading processes for efficient performance.Data Governance:Enforce data standards and best practices within the Tableau environment.Maintain data quality and accuracy.Develop and implement data governance policies.Work closely with data analysts, data engineers, and business stakeholders to meet their data needs and communicate data impacts in a timely and effective mannerExecute effective decision-making skills to led team to succeedMaintain emotional stability in stressful situations; lead by example for how our team should handle adversityAbide by policies and procedures that support the service mindsetManage timeline expectations within and across teams, deliver on our responsibilities accordinglyEarn the trust of Team Members and Managers by consistently embracing CAVA’s valuesShow discipline in bringing consistent performance, communication, and attitude to the job every dayActively contribute to your department in order to complete tasks and meet company goalsRecognize the emotional stake each Team Member has in personal and organizational success of this businessThe Qualifications:Strong proficiency in Tableau Desktop and Server administration.Experience in designing and developing complex Tableau dashboards and visualizations.Solid understanding of data warehousing and ETL concepts.SQL proficiency for data manipulation and analysis.Strong analytical and problem-solving skills.Excellent communication and interpersonal skills.Ability to work independently and as part of a team.Strong understanding of cloud platforms (AWS, GCP, Azure).Experience with managing data workflows at scale – Apache Airflow is a plusExcellent problem-solving and analytical skills.Effectively be able to scale data solutionsStrong communication and interpersonal skills.Physical Requirements:Ability to maintain stationary position to be able to operate a computer and other office equipmentMust be able to identify, analyze and assess detailsFor certain positions, must be able to occasionally move or transport items up to 50 poundsAbility to communicate with others and exchange information accurately and effectivelyConstantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicableAbility to work in a constant state of alertness and in a safe mannerWhat we offer: Competitive salary, plus bonus and long-term incentives*Early Wage Access!Unlimited PTO, paid parental leave, plus paid opportunities to give back to the communityHealth, Dental, Vision, Telemedicine, Pet Insurance plus more!401k enrollment with CAVA contributionCompany-paid STD, LTD, Life and AD&D coverage for salaried positions*Free CAVA foodCasual work environmentThe opportunity to be on the ground floor of a rapidly growing brandAll exempt and non-exempt employees are eligible for benefits. Benefits are effective the 1st of the month following 30 days of service and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hiredThe compensation range posted includes total cash*Indicates qualifying eligible positions only CAVA – Joining “A culture, not a concept”This job description is not intended to be a comprehensive list of all the duties and responsibilities of the position, and such duties and responsibilities may change without notice. As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law.",Mid-Senior level,Senior Data Engineer - Visualization
+939,2025-04-09,San Francisco,California,Uber,http://www.uber.com,"We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
+
+The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.","About The RoleJoin our team as a Decision Scientist and play a crucial role in safeguarding the integrity of the Uber platform. You will leverage your data-driven expertise to identify, analyze, and mitigate emerging trends. Through statistical analysis and creative problem-solving, you will contribute to the development of robust strategies that minimize losses while ensuring operational efficiency and a seamless user experience.Collaborating with cross-functional teams comprising engineers, product managers, fellow decision scientists, and operations managers, you will be responsible for key performance metrics related to detection and false positives optimization. Your analytical prowess and business acumen will be instrumental in driving data-informed decisions and shaping the future of management at Uber.What The Candidate Will Need / Bonus Points What the Candidate Will Do Perform statistical analysis to understand behaviours and contribute to detection models/features  Build and maintain rules to address evolving fraudulent activities  Extract insights from large datasets to develop fraud mitigation strategies  Build deep understanding of data, reporting, and key metrics  Conduct to and optimize mitigation solutions  Collaborate with global cross-functional teams on prevention projects  Effectively communicate findings to drive business decisions  With guidance from manager, define and develop an area of expertise  Basic Qualifications Minimum of 2 years of experience in a data-focused role, such as data science, analytics, management, or business intelligence  Exceptional proficiency in and statistical analysis languages (SQL, R, or similar)  Proven track record of leveraging advanced analytical techniques and statistical methods to solve complex, real-world problems  Experience in hypothesis testing and statistical modeling  Expertise in defining, measuring, and communicating performance metrics that drive business impact  Preferred Qualifications Advanced degree in a quantitative field such as Statistics, Mathematics, Operations Research, Economics, or a related discipline  Prior background in Risk or Fraud  Data engineering/pipeline creation experience  A natural problem-solver with a passion for critical thinking and a ""get things done"" mindset  Good communication skills and the ability to articulate technical concepts to diverse stakeholders  Comfortable with ambiguity and capable of thriving in a dynamic, self-directed environment For San Francisco, CA-based roles: The base salary range for this role is USD$124,000 per year - USD$130,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$124,000 per year - USD$130,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.",Not Applicable,"Data Scientist I, US - Risk & Fraud"
+940,2025-04-09,San Jose,California,NetApp,https://www.netapp.com/,"Build an intelligent data infrastructure with NetApp that brings it all together — a smarter way to let data thrive. Any application, any data, anywhere.","Job SummaryAs a Software Engineer Intern, you would participate in product design, development, verification, troubleshooting, and delivery of a system or major subsystems. This position requires an individual to be creative, team-oriented, technology savvy, driven to produce results and demonstrates the ability to take a cross-team leadership role.   We invest heavily in new talent. Your energy and fresh ideas are vital to cementing our position as a market -leader. We’ll push you beyond your comfort zone with a belief that no idea is off-limits. At the same time, you’ll have all the resources, mentoring and feedback you need to grow. What’s more, whatever your role, you can be yourself in a team that celebrates individuality and welcomes different perspectives. Job RequirementsExperience with multiple programming languages is a benefit but there is also room to improve your skills.  Our intern work differs depending on the team and project work but some potential areas of focus and skill sets are-  Front End Development:    Design and implement code using Functional and Object-Oriented JavaScript, HTMP, CSS  Develop enterprise SaaS software using modular, reusable JS components and data visualizations  Understanding of concepts related to computer architecture, data structures and algorithms and design patterns/practices   Back End Development:  Understanding of Java, Python, C, and/or C++  Participate in product design, development, verification, troubleshooting, and delivery of a system or major subsystems  Projects, experiences, or coursework related to areas such as: Operating Systems, Computer Architecture, Multi-Threading, Data Structures & Algorithms   Other helpful skillsets: Proven aptitude for learning new technologies  Creative and analytical approach problem solving skills  Strong oral and written communication is necessary for success  Ability to work on a diverse team or with a diverse range of people Additional DetailsJob Posting Info: This is a pipeline position that will be opened on a recurring basis and used to fill roles aligned with the required skill sets.Program Dates: This is an internship with start dates in May or June 2025. Recruiting efforts will be ongoing until specific teams find an ideal match.Thrive Together: NetApp’s approach to in-person and remote work will be a flexible hybrid model that emphasizes flexibility for employees and puts our talent first.Education & ExperienceMust be enrolled in an educational or professional program through summer 2025 or later.CompensationFinal compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.Equal Opportunity EmployerNetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.Did you know...Statistics show women apply to jobs only when they're 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you.Why NetApp?We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time per year to volunteer with their favorite organizations. We provide comprehensive medical, dental, wellness, and vision plans for you and your family. We offer educational assistance, legal services, and access to discounts. Finally, we provide financial savings programs to help you plan for your future.If you want to help us build knowledge and solve big problems, let's talk.",Internship,Intern - Software Engineer
+941,2025-04-09,Cincinnati,Ohio,ExaTech Inc,http://www.exatechinc.com,"Welcome to Exatech – Your Trusted Partner in Staffing Solutions! 
+
+At Exatech, we are dedicated to addressing both IT and non-IT requirements, specializing in niche areas with the best of the solutions. Our seasoned team of professionals with both expertise and dedication, committed to going the extra mile to ensure client’s success and satisfaction.
+
+Industries We Serve:
+Banking and Financials
+Oil and Gas
+Healthcare and Medical Devices Manufacturing
+Hospitals/Healthcare Facilities
+Aeronautical
+Robotics
+Electronics
+Food and Beverage
+Government
+Water Management
+Automotive
+Steel Manufacturing
+
+Whether you're in need of IT solutions, light industrial support, or healthcare services, Exatech has you covered. Our comprehensive approach and commitment to excellence make us the go-to partner for businesses seeking unparalleled consulting and staffing solutions.","Position : AI/ML EngineerLocation : RemoteNeed 10+ Years Candidates Candidate has worked in product company particularly telecom product company. Need 100% match to the JDI am seeking someone for below role. Role Summary:We are seeking an experienced AI/ML Data Scientist to design, develop, and deploy advanced machine learning and generative AI solutions. This role requires a blend of deep technical proficiency, curiosity for cutting-edge research, and practical experience in production-grade AI/ML systems, including knowledge of LLMs, AI agents, and vector databases.Key Responsibilities: • Build and deploy ML and GenAI models to solve complex business problems across structured and unstructured data • Leverage LLMs (e.g., GPT-4, LLaMA, Claude, Gemini) for use cases such as summarization, classification, chat agents, document understanding, and more • Design and prototype AI agents capable of reasoning, memory recall, task planning, and multi-step workflows • Work with vector databases (e.g., Pinecone, FAISS, Chroma) for semantic search and retrieval-augmented generation (RAG) systems • Collaborate with product, engineering, and data teams to integrate models into real-world applications • Conduct model evaluation, fine-tuning, and prompt engineering for optimization • Stay current with the latest advancements in generative AI, foundation models, and open-source tooling • Create clear documentation and visualizations for communicating technical solutions and results to stakeholdersRequired Qualifications: • Degree in Computer Science, Data Science, Engineering, or a related field • 3+ years of experience in machine learning or AI/ML engineering roles • Hands-on experience with GenAI frameworks and APIs (e.g., OpenAI, HuggingFace Transformers, LangChain, LlamaIndex) • Experience building and scaling LLM-based applications (RAG pipelines, chatbots, agents, etc.) • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) • Solid programming skills in Python and ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn) • Understanding of ML lifecycle, including data processing, training, evaluation, and deployment • Experience with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes)Preferred Qualifications: • Experience designing and deploying AI agents (e.g., Auto-GPT, BabyAGI, CrewAI, OpenAgents) • Exposure to open-source LLMs (LLaMA 3, Mistral, Falcon, etc.) and fine-tuning techniques (LoRA, QLoRA, PEFT) • Familiarity with MLOps tools and workflows (e.g., MLflow, DVC, SageMaker, Vertex AI) • Strong communication and stakeholder engagement skills • Publications or open-source contributions in GenAI/ML is a plus",Mid-Senior level,Machine Learning Engineer
+942,2024-09-22,,,Hugging Face,https://huggingface.co,The AI community building the future.,"At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.About the role:As a Machine learning Engineer, you work mainly on creating great libraries highly focused on real world ML use cases. We're building on top of our open-source to create more specialized code with a focus on industrial level of usage.We are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a progressive, nimble and decentralized approach to develop real-world solutions and positive user experiences at every interaction.Objectives of this role: Develop specialized software for specific machine learning (ML) use cases that have broad applications, similar to [text-generation-inference](https://github.com/huggingface/text-generation-inference).   Utilize existing library frameworks to create scalable software solutions for industrial purposes.   Enhance the reliability, quality, and time-to-market of our software suite. Measure and optimize system performance to stay ahead of customer needs and drive innovation.   Manage the production environment by monitoring availability and ensuring overall system health. We run our own tools About you:If you are a passionate Machine Learning Engineer with a keen interest in AI and proficient with Python, Rust and specialized Cuda kernels Frameworks (transformers of course + Keras or PyTorch), we would love to hear from you. Join our team and contribute to the advancement of AI technologies while working alongside talented professionals in a collaborative and stimulating environment.More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also flexible parental leave and paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.",Mid-Senior level,"Machine Learning Engineer, Fast Optimized Inference - US Remote"
+943,2025-04-01,Dublin,CA,"iTradeNetwork, Inc.",http://www.itradenetwork.com,"iTradeNetwork is a leading supply chain management platform for the food and beverage industry, enhancing efficiency, visibility, and collaboration. We offer solutions for procurement, food safety, transportation, spend management, and data services. Our platforms helps retailers, growers, manufacturers, operators, and distributors streamline operations, ensure compliance, and optimize costs.
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+With over 2,500 trading partners and $50 billion in annual transactions, iTradeNetwork is a key player in the perishables supply chain.","About iTradeNetworkAt iTradeNetwork, we provide advanced supply chain software and insights tailored to the food & beverage industry. Our mission is clear and ambitious: To feed the world. From the start, we’ve been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact.Our cutting-edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably. We’re proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 foodservice distributors, and 8 of the top 10 global food and beverage manufacturers.JOB SUMMARYAre you a machine learning enthusiast who thrives on transforming data into impactful insights? Do you dream in algorithms, data pipelines, and model architectures? We’re looking for a Machine Learning Full Stack Developer who is a true builder—someone who can roll up their sleeves, design, develop, and deploy scalable ML solutions. This isn’t just another job; it’s an opportunity to be part of a team that is shaping the next generation of AI-driven products that will directly drive growth.Key Responsibilities:Build the Future: Design, develop, and deploy end-to-end machine learning systems optimized for performance, scalability, and rapid deployment.AI-First Development: Leverage AI tools (GitHub Copilot, Cursor AI, ChatGPT, Otter AI) to enhance code efficiency, refactoring, debugging, and documentation.Rapid Prototyping: Rapidly prototype and deploy ML models and full-stack applications using AI-assisted development tools.ML & Data Pipelines: Build and optimize data pipelines for efficient ingestion, transformation, and analysis.LLM Integration: Implement and fine-tune large language models (LLMs) like GPT, BERT, and integrate them seamlessly into production systems.MLOps Excellence: Design, develop, and implement CI/CD pipelines for continuous deployment and monitoring of machine learning models.Cloud-Native Development: Build and maintain cloud-native ML applications on platforms like GCP, AWS, or Azure.Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into scalable ML solutions.Solve Complex Problems: Tackle technical challenges, from optimizing algorithms to deploying real-time machine learning systems.Tech Stack:Languages: Python, JavaML Frameworks: TensorFlow, PyTorch, Scikit-learnDatabases: BigQuery, PostgreSQL, Redis, MongoDBCloud & DevOps: Kubernetes, Docker, Terraform, GCP, AWSMLOps Tools: MLflow, Kubeflow, AirflowAI Tools: GitHub Copilot, Cursor AI, Otter AI, ChatGPTNLP & LLMs: GPT, BERT, Transformer architecturesCI/CD & Automation: GitHub Actions, JenkinsWhat You Bring:Bachelor’s degree in Computer Science, Engineering, or just equivalent hands-on experience with no degree!5+ years of hands-on experience in machine learning and full stack development, with at least 3+ years in data science and 3+ years in ML engineering.Proven ability to develop and deploy ML models with minimal requirements.Strong coding ability demonstrated via a HackerRank assessment (preferred HackerRank Gold Badge).Expertise in Python and Java for building production-grade ML systems.Strong experience with cloud platforms like GCP, AWS, or Azure.Deep understanding of MLOps best practices, including CI/CD pipelines and model monitoring.Ability to quickly understand and implement complex data models and algorithms.Strong problem-solving, analytical thinking, and debugging skills.Excellent communication and collaboration abilities.Why you will love working here:Competitive salary packagesComprehensive medical, dental, vision, and life insurance benefits for you and your familyFlex PTO for exempt employees and competitive PTO for non-exemptPaid parental leave for eligible employees401(k) matchingTuition reimbursement on approved programsGreat health & well-being benefits including Teladoc for general medical and mental health careThese benefits are only applicable to full-time employeesThis is a hybrid position, candidates must be located in the Bay Area, CA; Charlotte, NC; Denver, Colorado; and Atlanta, Georgia unless listed otherwiseAdditional Requirements:Must be able to demonstrate lawful ability to work in the United StatesiTradeNetwork, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran by applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability",Mid-Senior level,Machine Learning Engineer
+944,2025-03-28,Worldwide,,"Pyramid Consulting, Inc",https://pyramidci.com/,"Pyramid Consulting, a global leader in workforce and technology solutions, empowers individuals and organizations to transform and thrive in the most challenging and competitive markets. Pyramid Consulting’s award-winning family of brands – Pyramid Talent, Celsior, and GenSpark– operate together to deliver seamless and integrated solutions which benefit our clients and the consultants who serve them. Through the ‘intentionally inclusive’ recruitment of uniquely qualified candidates and teams; the training and upskilling of recent college graduates and organizational talent; and the customized development and management of innovative technology solutions and teams, Pyramid Consulting proves its lasting commitment to the sustainable growth and success of its consultants and clients. Founded in 1996 and headquartered in Atlanta, Pyramid Consulting serves over 125 Fortune 500 companies across most industries with more than 6500 consultants in 25 countries.","Immediate need for a talented Data Scientist. This is a 08+months contract opportunity with long-term potential and is located in Irvine, CA (Hybrid). Please review the job description below and contact me ASAP if you are interested.Job ID: 25-62674Pay Range: $80 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).Key Responsibilities:Diagnose hardware and software problems, and replace defective components.Perform data backups and disaster recovery operations.Install, maintain and administer computer networks and computer hardware, systems software, applications software, and all configurations.Plan, coordinate, and implement network security measures in order to protect data, software, and hardware.Monitor the performance of computer systems and networks.Perform routine network startup and shutdown procedures, and maintain control records.Ensure network performance.Add and remove network access.Maintain an inventory of parts for repair needs.Key Requirements and Technology Experience: Top 3 skills: Machine Learning, Python, SQLProficient in Python and SQLHands-on experience in database technology (Postgres, Redis, ElasticSearch)Familiarity with transformer architectures (SLM, LLM, VLM, Embedding Models)Strong technical acumen and experience architecting Sales Enablement and Customer Success tools and systems.Strong knowledge of industry trends for sales tools and database strategies.Ability to quickly identify root causes of problems and act on those problems in an effective and complete manner.General Knowledge of Client Suite (Sheets, Docs, & Slides), mandatory experience with Salesforce as a user, admin experience desirable.Need to be inquisitive and constantly wondering how we can make the sales cycle faster, more effective, and/or easier to complete.Must be able to work autonomously and make large business impacting decisions confidently. Subject matter expertise in a large variety of additional software applications as well as the business acumen required to apply them to business problems.Bachelor’s Degree PreferredFamiliarity with the Agile framework.Overall understanding of SaaS business processes and experience in implementing solutions to gaps from a technical and/or project management perspective.This role Interacts regularly with Sales and Customer Success Directors, Associate Directors, and Enablement & Operations Leaders. Also interacts regularly with Marketing, Strategy, Legal, Finance, IT, Business Intelligence, Program Management and Sales Compensation leadership.Ability to see the big picture and potential risks of interaction between systems.List degree required and/or preferred along with the number of years of related and total experience. List any certifications, licenses or other specialized requirements.Certifications: Salesforce Administrator or better desired.Our client is a leading Telecommunications Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.",Not Applicable,Data Scientist
+945,2025-02-21,San Francisco,,Sardine,https://www.sardine.ai/,"Sardine is the leading AI risk platform for fraud prevention, compliance, and credit underwriting, trusted by enterprises in over 70 countries. Using device intelligence, behavior biometrics, and machine learning, Sardine stops fraud in real time, streamlines compliance, and unifies data across risk teams. Backed by world-class investors and partners including Andreessen Horowitz, Activant Capital, Visa, Experian, Moody’s, and FIS, Sardine is redefining risk management for the real-time economy. Learn more at sardine.ai.","Who we are:We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.Our culture:We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhereWe hire talented, self-motivated individuals with extreme ownership and high growth orientation.We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.About the Role:We are seeking a highly skilled Machine Learning Engineer to lead the development of our device identification and fingerprinting systems. In this role, you will work closely with cross-functional teams to collect and process high-entropy signals from our frontend SDKs, enhance our backend systems, and improve the accuracy and reliability of our device fingerprinting methods.Key Responsibilities:Backend Development: Design, develop, and maintain backend services using Go (Golang) to process and analyze device data.Data Collection Optimization: Collaborate with frontend engineers to refine data collection methodologies using JavaScript and modern browser technologies. Device Fingerprinting: Implement and improve algorithms for device identification using high-entropy signals and probabilistic matching techniques.Data Analysis: Handle large datasets to extract insights and improve matching accuracy.Browser and Technology Monitoring: Stay up-to-date with changes in browser behaviors, APIs, and security features that may impact data collection and fingerprinting methods.Machine Learning Integration: Apply machine learning models where appropriate to enhance device recognition and handle uncertainty.Security and Compliance: Ensure all systems and processes comply with relevant privacy laws and industry best practices.Performance Optimization: Identify bottlenecks and optimize system performance for scalability and reliability.Documentation and Mentorship: Document system designs and processes. Mentor junior team members and promote best practices within the team.Required Qualifications:Minimum of 5 years of professional software engineering experience.At least 3 years of experience in backend development, preferably with Go or a similar language.Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Experience with data processing frameworks and handling large-scale datasets.Experience with machine learning techniques, statistical analysis, or probabilistic modeling to improve device identification reliability and accuracy. Familiarity with Python-based data science tools and libraries (e.g., NumPy, pandas, scikit-learn) is a plus.Familiarity with relational and non-relational databases.Strong problem-solving abilities and analytical thinking.Excellent communication skills, both written and verbal.Ability to work collaboratively in a team environment.Self-motivated with a passion for continuous learning and improvement.Preferred Qualifications:Security Expertise: Understanding of cybersecurity principles, especially related to device identification and fraud prevention.Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure.DevOps Skills: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.SQL Proficiency: Strong SQL skills to query, analyze, and validate data effectively, especially for large-scale datasets.Additional Considerations: Knowledge of JavaScript and familiarity with modern browser APIs, especially in the context of high-entropy data collection for device fingerprinting.Compensation:Base pay range of $180,000 - $220,000 + equity with tremendous upside potential + Attractive benefits.The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.Benefits we offer:Generous compensation in cash and equityEarly exercise for all options, including pre-vestedWork from anywhere: Remote-first CultureFlexible paid time off, Year-end break, Self care days offHealth insurance, dental, and vision coverage for employees and dependents - US and Canada specific4% matching in 401k / RRSP - US and Canada specificMacBook Pro delivered to your doorOne-time stipend to set up a home office — desk, chair, screen, etc.Monthly meal stipendMonthly social meet-up stipendAnnual health and wellness stipendAnnual Learning stipendUnlimited access to an expert financial advisoryJoin a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you.",Mid-Senior level,Machine Learning Engineer
+946,2025-04-07,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.TikTok Location Team's goal is to deliver user-facing products based on the location that connects people with places, localized content, and service in the real world around the globe.Work on ML models and algorithms to drive the creation of cutting-edge technical solutions to bridge the gap between technical capabilities and real-world business impact, including POI data production, POI recommendation, reviews sentiment analysis and ranking, geocoding, user profiling, etc.Responsible for algorithmic strategies in geographical content and services, enhancing and optimizing Location-Based Services (LBS) capabilities to support a range of international products.Thoroughly comprehend business intricacies, analyze issues, and devise appropriate algorithms and strategies tailored to various problem domains. Continuously optimize performance and efficacy.QualificationsBS/MS Degree in Computer Science or related major.Experienced in programming and algorithmic skills, proficient in languages such as Python, Golang, or C++.Deep understanding of computer architectures, data structures and algorithms.Experienced in one or more of the following topics: Tensorflow, Caffe, MxNet, PyTorch or other machine learning frameworksHave good team communication and collaboration skills.Preferred Qualifications2 years of industry experience in building and leading ML model development for large-scale consumer-facing applications.Experience or domain expertise in one or more of the following areas is preferred: POI (Point of Interest) data algorithms, NLP, recommendation systems, reviews sentiment analysis and ranking, NER, text mining, geocoding, user profiling, etc.Experience in big data、data warehouse、streaming data flow and real time data processing system is preferred.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $145000 - $250000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) CandidatesQualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer - TikTok Location Based Service
+947,2025-04-03,Sunnyvale,California,Cerebras Systems,http://www.cerebras.ai,"Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to accelerate generative AI by building from the ground up a new class of AI supercomputer. Our flagship product, the CS-3 system, is powered by the world's largest and fastest commercially available AI processor, our Wafer-Scale Engine-3. CS-3s are quickly and easily clustered together to make the largest AI supercomputers in the world, and make placing models on the supercomputers dead simple by avoiding the complexity of distributed computing. Cerebras Inference delivers breakthrough inference speeds, empowering customers to create cutting-edge AI applications. Leading corporations, research institutions, and governments use Cerebras solutions for the development of pathbreaking proprietary models, and to train open-source models with millions of downloads. Cerebras solutions are available through the Cerebras Cloud and on premise. For further information, visit www.cerebras.ai
+Join us: https://cerebras.net/careers/","Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. About The RoleAs a Engineer in ML Integration and Quality team, you will play a pivotal role in bringing together and delivering all software and hardware components for Cerebras AI platform. You will focus on SW components feature integration and quality. Pre deployment/production validation for Cerebras training and inference solution. As part of this role, you will influence the best testing practice, good debugging methodology, effective cross team communication and advocate for world-class products. ResponsibilitiesExecute with good software integration methodology, collaborate with effective communication and ensure quality.Break down complex tasks into smaller tasks, be a problem solver and help debug efficiently.Automation of workflows, testbed setups and building tools to monitor/debug.Implement creative ways to break Cerebras software and identify potential problems.Contribute to developing SW specifications with a focus on ML products.Drive quality of various software and hardware components of Cerebras AI platform to ensure accuracy, performance and usability of ML training and inference workloads.Develop and execute a comprehensive QA strategy aligned with the roadmap of the Cerebras AI solution, lead the work of the QA team.Ability to work in a fast-paced environment and make the necessary prioritizations and judgements which affects productivity at a company level.Define and implement quality metrics to measure product and process quality, provide actionable insights and recommendations to drive continuous improvement.Provide regular updates on quality, key metrics, and risks to engineering and business stakeholders.Collaborate with software and product team to develop clear acceptance criteria and deliver quality product.Execute and deliver with strong sense of ownership and quality driven mindset.Skills And QualificationsMaster's degree in computer science or EE with 0-6 years of industry experience.Exposure to AI/ML workload and workflows.Strong automation and programming skills using one or more programming languages like Python, C++ or go.Experience in debugging issues across scale out deployment.Excellent verbal and written communication skills.Strong organizational skills, teamwork, and can-do attitude.Clear and detailed documentation skills.Preferred Skills And QualificationsExperience in building complex application in python.Experience in working with LLM/Multimodal training or inference.Experience with hardware architecture, performance optimizations, compilers and ML frameworks.Experience working with distributed systems, cloud and security.Experience working with microservices deployment, debugging and orchestration. LocationThis role follows a hybrid schedule, requiring in-office presence 3 days per week. Please note, fully remote is not an option.Office locations: Sunnyvale, Toronto. Why Join CerebrasPeople who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:Build a breakthrough AI platform beyond the constraints of the GPU.Publish and open source their cutting-edge AI research.Work on one of the fastest AI supercomputers in the world.Enjoy job stability with startup vitality.Our simple, non-corporate work culture that respects individual beliefs.Read our blog: Five Reasons to Join Cerebras in 2025.Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.",Mid-Senior level,Senior ML Software Integration & Quality Engineer
+948,2025-04-01,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We’re looking for a Machine Learning Engineer to join Snap Inc!What you’ll do:Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experienceExperience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learningPreferred Qualifications:Advanced degree in computer science or related fieldExperience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworksExperience working with machine learning, ranking infrastructures, and system designIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $209,000-$313,000 annually.Zone B:The base salary range for this position is $199,000-$297,000 annually.Zone C:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs.",Mid-Senior level,"Machine Learning Engineer, Level 5"
+949,2025-04-01,Mumbai,Maharashtra,Tata Consultancy Services,https://www.tcs.com/,"Tata Consultancy Services (TCS) is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys since its inception in 1968. Our consulting-led, innovation-driven services help businesses evolve as perpetually adaptive enterprises, staying ahead in an ever-changing digital landscape. Recognized for excellence in software development, we rapidly apply and scale new technologies, driving long-term value and scalable transformation. Many of these relationships have endured for decades, navigating every technology cycle from mainframes in the 1970s to Artificial Intelligence today.
+ 
+A part of the Tata Group, India’s largest multinational business group, TCS has a highly skilled workforce of over 607,000 consultants in 55 countries and 180 service delivery centers across the world.
+ 
+Caution against fraudulent job offers: TCS doesn’t charge any fee throughout the recruitment process. Refer here: https://www.tcs.com/careers/india/recruitment-fraud-alert","Job DescriptionWe are seeking a talented Machine Learning / ETL Engineer to join our IT team and take on the challenge of advancing our Business Intelligence initiatives. In this role, you will be responsible for designing, developing and optimizing ETL / ELT processes for large-scale data processing and leveraging Machine Learning frameworks to perform data quality and anomaly detection across 1st and 3rd party datasets. You will work closely with analysts, data scientists, and other stakeholders to understand business requirements and translate them into high quality solutions. As a key member of our Business Intelligence IT team, you will leverage your expertise in machine learning algorithms, data engineering, and data analytics to drive ETL / ELT solutioning from a wide variety of datasets. You will play a critical role in maintaining data integrity and ensuring the timely availability of data for analytical purposes. We are looking for someone who is not only technically proficient but also possesses strong problem-solving skills and a passion for continuous learning in the rapidly evolving business.Responsibilities• Architecting and implementing robust, high-performance data pipelines across various data sources (databases, APIs, web services) to efficiently process and transform large datasets. • Enable and ensure data collection from various sources and loading it to a data lake, data warehouse, or any other form of storage.• Proficiently utilizing cloud platforms Snowflake, AWS, GCP to build scalable data processing solutions, including managing data lakes and data warehouses. • Developing and implementing data quality checks and monitoring systems to ensure data accuracy and reliability throughout the data pipeline. • Contribute to data documentation and governance strategies, including data access controls, data lineage tracking, and data retention policies. • Collaborating closely with data analysts, data scientists, and business stakeholders to understand data needs, translate requirements into technical solutions, and deliver actionable insights. • Excellent analytical and problem-solving skills, with the ability to work independently and in a team environment.Qualifications:• 7+ years of experience with data warehouse technical architectures, ETL/ ELT, reporting/analytic tools, and scripting.• Extensive knowledge and understanding of data modeling, schema design, and data lakes.• 5+ years of data modeling experience and proficiency in writing advanced SQL and query performance tuning with on Snowflake in addition to Oracle, and Columnar Databases SQL optimization experience.• Experience with AWS services including S3, Lambda, Data-pipeline, and other data technologies.• Experience implementing Machine Learning algorithms for data quality, anomaly detection and continuous monitoring, etc.Required skills and experience:• Strong proficiency in Python, SQL for data manipulation and processing. • Experience with data warehouse solutions for Snowflake, BigQuery, Databricks.• Ability to design and implement efficient data models for data lakes and warehouses.• Familiarity with CI/CD pipelines and automation tools to streamline data engineering workflows • Deep understanding of principles in data warehousing and cloud architecture for building very efficient and scalable data systems.• Experience with Apache Airflow and/or AWS MWAA• Experience with Snowflake’s distinctive features, including multi-cluster architecture and shareable data features.• Expertise in distributed processing frameworks like Apache Spark, or other big data technologies is a plus.Requirements:• Bachelor's degree in Computer Science, Information Technology, or a related field.• Proven experience as an ETL Engineer or similar role in data engineering.• Strong understanding of ETL concepts, tools, and best practices.• Proficiency in programming languages such as SQL, Python.• Experience with ETL tools/platforms Databricks, IBM DataStage is a major plus.• Knowledge of data warehousing concepts and architecture.• Ability to work collaboratively in a team and manage multiple tasks effectively.Salary Range: $90,000-$140,000 a year",Mid-Senior level,Machine Learning - ETL Engineer
+950,2025-04-04,Burbank,California,Zest AI,http://zest.ai,"Since 2009, Zest AI has been pioneering and perfecting AI technology with a mission to broaden access to lending using smarter, more efficient AI. 
+Serving more than $5.6T in managed assets with over 600 active models, Zest AI has been a proven partner to banks, credit unions, and specialty lenders, helping them decrease risk and boost growth opportunities throughout the lending process. 
+
+Zest AI leads the industry, powering thriving lending ecosystems with innovative, intelligent solutions across marketing, underwriting, fraud detection, lending intelligence, and more. With over 50 issued and pending patents across automation, accuracy, performance, and model explainability, this US-based technology-as-a-service company serves its clients from its headquarters in Los Angeles, California, and across the country.","Founded in 2009, Zest AI has been pioneering innovative AI technology with a mission to expand credit access to create opportunities for more Americans to pursue their financial goals. Zest AI is transforming the $17 trillion US consumer credit market by delivering AI technology that helps lenders identify creditworthy borrowers overlooked by traditional methods, while leveling the playing field so financial institutions of all sizes can harness AI to provide better lending experiences.With over 50 issued and pending patents across automation, accuracy, performance, and model explainability, Zest AI is a leader in financial technology, providing financial institutions with AI tools that create a more resilient US financial system and a stronger U.S. economy. With over 600 active AI models, financial institutions rely on Zest AI's comprehensive suite of solutions spanning marketing, underwriting, fraud detection, lending intelligence, and more to make smarter lending decisions while improving profitability. This US-based technology as a service company is headquartered in Los Angeles, California.About the RoleWe’re seeking a backend Software Engineers that share the same passion in building enterprise-level web services that integrate with cutting edge machine learning technologies. We're a mission driven organization collectively challenging the traditional financial lending landscape; and we're seeking like-minded engineers to join our initiative! You will be joining a team of highly-skilled Software Engineers and Data Scientists, where your software design and systems development contributions will impact our clients businesses by +$100M in ROI. This hands-on position will empower opportunities to collaborate with technical teams across our organization to deliver on features while reinforcing engineering best practices. We are a language agnostic company that does not require you to have experience with specific technologies. Here at Zest AI, we prioritize intuition and seek like-minded engineers who can learn quickly so we can adapt to customer requirements and take advantage of new technologies as they change!What You’ll DoDesign, build, and maintain RESTful APIs for B2B SaaS solutionsDevelop Python packages and tooling for model deployment and data science workflowsAutomate engineering workflows, including CI/CD pipelinesWork with AWS or similar cloud platforms to deploy and scale servicesCollaborate with data scientists, product managers, and other engineers to meet business goalsWhat We’re Looking For4+ years of professional experience in backend or full-stack engineering, developing production codeProficiency in Python (preferred) or other OOP languagesHands-on experience with AWS or similar cloud technologiesFamiliarity with CI/CD best practicesDemonstrated experience designing and implementing RESTful APIsStrong CS fundamentals and problem-solving skillsExposure to production environments (bonus if in a B2B SaaS setting)Equal Opportunity StatementCreating a diverse and inclusive culture where all are welcomed, valued, and empowered to achieve our full potential is important to who we are and where we’re headed in the future. We know that unique backgrounds, experiences, and perspectives help us think bigger, spark innovation, and succeed together. Zest is committed to diversity, equity, and inclusion and encourages professionals from underrepresented groups in technology and financial services to apply.Our core values are Communication, Collaboration, Bias for Action, Client-centricity, and Heart. Learn more at Zest.ai and connect with us on Twitter @Zest_AI or our Insights blog (https://www.zest.ai/insights).",Mid-Senior level,Software Engineer [Core Product Team]
+951,2025-03-28,San Francisco,California,Scale AI,https://scale.com,"At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. 
+
+The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI. The Scale Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
+
+Scale is trusted by leading technology companies like Microsoft and Meta, enterprises like Fox and Accenture, Generative AI companies like Open AI and Cohere, U.S. Government Agencies like the U.S. Army and the U.S. Airforce, and Startups like Brex and OpenSea. ","About ScaleAt Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.About This RoleThis role will lead the development of trust & safety models to detect fraud & violations on our platform at large scale. The ideal candidate will have experience in industry working on trust & safety to detect misuse via account and behavioral signals. Successful candidates will be impact oriented, have strong foundations in machine learning, and experience in deploying ML services to production.. This position requires not only expertise in classical machine learning but familiarity with neural networks and large language models, along with strong intuitions in regards to testing detection systems in the presence of extreme class imbalance. You will contribute to the future of AI by ensuring we deliver high quality data to leading foundation model builders by ensuring that the contributors on our platform are trustworthy and high quality.Ideally you’d have: Practical experience deploying machine learning models to production in a microservices cloud environment.Familiarity with LLMs and proficiency in frameworks like scikit-learn, Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.Strong written and verbal communication skills and the ability to operate cross-functionally. Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.Nice to have:Hands-on production experience developing models for detecting trust & safety violations.A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$176,000—$220,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.About Us:At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.",Entry level,"Machine Learning Engineer, Fraud"
+952,2025-03-26,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.Team IntroductionThe Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly TikTok users around the world. Our mission is to build a world where ""there is no hard-to-sell good-priced product in the world"".We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. This Internship Program Runs For 12 Weeks Beginning In May/June 2025. Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.ResponsibilitiesImprove the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales. Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.QualificationsMinimum Qualifications:Currently pursuing PhD in Computer Science or a related technical disciplineAble to commit to working for 12 weeks during Summer 2025Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Excellent coding skills. Solid knowledge of data structure and algorithms. Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.Preferred QualificationsGraduating December 2025 onwards with the intent to return to degree program after the completion of the internship.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Hourly) - Campus InternThe hourly rate range for this position in the selected city is $75- $75.Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (Search E-commerce) - 2025 Summer (PhD)
+953,2025-04-02,Plantation,Florida,Chewy,http://careers.chewy.com,"At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. 
+
+We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.
+
+We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.
+
+At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.
+
+Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.
+
+We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.
+
+We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.","Our OpportunityWe are seeking a talented and passionate Machine Learning Engineer II to join our growing team. In this role, you will play a crucial part in building and deploying machine learning solutions that empower our Chewy Customer Care teams. As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning lifecycle, from data preparation and model development to deployment and monitoring. You will have the opportunity to work on diverse projects and contribute directly to the success of the company.What You'll DoDesign and implement robust data pipelines for efficient data ingestion, processing, and feature engineering.Ensure data quality and consistency for model training and inference.Work with large datasets and apply data scaling techniques.Select and build appropriate machine learning models based on business requirements and data characteristics.Train and evaluate models using various techniques and metrics.Fine-tune models to achieve optimal performance and efficiency.Deploy machine learning models to production environments, ensuring scalability, reliability, and maintainability.Implement monitoring and alerting systems to track model performance and identify potential issues.Optimize models for inference speed and resource utilization.Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions.Effectively communicate technical concepts and findings to both technical and non-technical audiences.What You'll NeedBachelor's degree in Computer Science, Machine Learning, or a related field.3+ years of experience as a Machine Learning Engineer or in a similar role.Strong programming skills in Python or another relevant language.Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).Experience with SQL and relational databases.Nice To HaveFamiliarity with big data technologies (e.g., Spark, Iceberg, dbt).Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift).Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly).Knowledge of retail and e-commerce.Solid understanding of machine learning algorithms and best practices.Experience with cloud computing platforms (e.g., AWS, Azure, GCP).Excellent communication and presentation skills.The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.We offer different types of insurance, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.Salaried-exempt team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.Pay Range$98,500—$183,500 USDChewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.If you have a question regarding your application, please contact HR@chewy.com.To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.",Entry level,Machine Learning Engineer II
+954,2025-04-04,Santa Monica,California,Snap Inc.,https://careers.snap.com/,"Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.","Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.The Product team uses creativity, insights, and operational excellence to steer our product vision across Snap Inc. This team of designers, scientists, and product managers work in a highly collaborative environment to build the products and experiences that bring our community together in new and special ways.We’re looking for a Data Scientist to join Snap Inc.What you’ll do:Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisionsDrive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted'Collaborate with product managers, engineers, product marketers, and designersKnowledge, Skills & Abilities:Expertise using data modeling skills to identify key product trends and new product opportunitiesAbility to design implement, and track core metrics to analyze the performance of our productsAbility to create visuals, dashboards, and reports to effectively communicate your insightsAbility to collaborate with engineers, product managers, and other cross-functional teamsAbility to initiate and drive projects to completion with minimal guidanceAn understanding of Snapchat with great product sense and product understandingMinimum Qualifications:BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience1+ years of experience in quantitative analysis & data science or a related fieldPreferred Qualifications:1+ years of experience using SQL or similar big data querying languages1+ years of experience with programming language, such as Python or R1+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniquesAdvanced degree in applied mathematics, statistics, actuarial science, economics or related fieldExperience in a product-focused role at a social media, online advertising, digital media and/or mobile technology companyExperience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research. If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.""Default Together"" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.Zone A (CA, WA, NYC):The base salary range for this position is $118,000-$176,000 annually.Zone B:The base salary range for this position is $112,000-$167,000 annually.Zone C:The base salary range for this position is $100,000-$150,000 annually.This position is eligible for equity in the form of RSUs.",Entry level,"Data Scientist, 1+ Years of Experience"
+955,2025-04-08,Charlotte,North Carolina,My Peoples Card,mypeoplescard.com,"My Peoples Card is a revolutionary digital identity platform that transforms how professionals present themselves online. We provide a streamlined solution for creating, managing, and sharing professional profiles that serve as your digital business card in today's interconnected world.
+
+Our Mission: 
+
+To empower professionals to showcase their authentic selves through beautifully designed digital cards that make networking effortless and impactful.
+
+What We Offer: 
+
+My Peoples Card combines the convenience of traditional business cards with the power of modern technology. Our platform enables users to:
+
+- Create personalized professional profiles with custom layouts and designs.
+
+- Showcase skills, experience, and accomplishments in one centralized location.
+
+- Share professional information instantly via unique URLs.
+
+- Update information in real-time, ensuring contacts always have your latest details.
+
+- Track profile views and engagement analytics.
+
+Why My Peoples Card?
+
+In a world where first impressions increasingly happen online, My Peoples Card bridges the gap between traditional networking and digital presence. Our platform helps professionals stand out in search results, making it easier for potential employers, clients, and collaborators to find and connect with you.
+Whether you're a freelancer looking to showcase your portfolio, a job seeker wanting to make a memorable impression, or an established professional expanding your network, MyPeoplesCard provides the tools to elevate your personal brand. Join us in revolutionizing how professionals connect in the digital age.
+
+
+Connect With Us
+
+Visit us at www.mypeoplescard.com to create your professional digital identity today!","About UsMy Peoples Card (MPC) is a innovative platform that empowers professionals to enhance their online presence in Google Web Search. Following Google's discontinuation of their People Cards service that previously helped individuals in India, Nigeria, and South Africa establish an online presence, we're filling a crucial gap in the market. Our mission is to democratize digital identity and give everyone the tools to control how they appear in search results.The RoleWe are looking for an enthusiastic Entry-Level Software Engineer to join our growing development team. This role offers a unique opportunity to make a significant impact in a fast-paced startup environment while gaining valuable experience across our technology stack. You'll work with our seasoned developers to build and improve features that help users create compelling digital identities.Tech StackBackend: FastAPI, Python, PostgreSQL, RedisFrontend: JavaScript, React, HTML5, CSS3Key ResponsibilitiesCollaborate with senior engineers to develop new features and maintain existing onesImplement responsive UI components with ReactBuild and enhance RESTful API endpoints using FastAPIWrite clean, maintainable, and testable codeParticipate in code reviews and contribute to technical discussionsDebug issues and implement fixes across the applicationHelp optimize application performance and user experienceDocument code and contribute to technical documentationQualificationsBachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)Familiarity with Python and JavaScript programmingBasic understanding of web development concepts and frontend frameworksKnowledge of REST API principlesAbility to work with version control systems (Git)Strong problem-solving attitude and willingness to learnGood communication skills and ability to work in a teamNice to HavePrevious experience with FastAPI or other Python web frameworks (Django, Flask)Experience with React or similar frontend libraries/frameworksUnderstanding of database concepts and SQLFamiliarity with containerization (Docker)Experience with automated testing and CI/CD pipelinesWhat We OfferCompetitive salary and benefits packageFlexible working hours and remote-first cultureMentorship from experienced software engineersCareer growth opportunities in a rapidly scaling startupModern tech stack and best development practicesMeaningful work that impacts users across multiple countriesRegular team events and professional development budgetMy Peoples Card is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.",Entry level,Entry-Level Software Engineer
+956,2025-03-27,The Cloud,,Snowflake,http://www.snowflake.com,"Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.","Build the future of the AI Data Cloud. Join the Snowflake team.There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.We’re looking for a Senior Machine Learning Engineer to join Snowflake’s Corporate Machine Learning team. In this role, you will design, build, and optimize scalable systems that power AI & ML driven solutions across Snowflake’s business data. This is a high-impact engineering role focused on taking AI & ML applications from prototype to production, partnering closely with ML and Data Scientists and cross-functional teams to ensure robust and performant deployment of machine learning solutions.ON THE Corporate ML TEAM AT SNOWFLAKE, YOU WILL:Provide technical & thought leadership; designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions. Participate in all stages of development, ideation to production.Lead development for ML systems: Design, build, and maintain production-grade ML systems, with a focus on performance, scalability, and maintainability.Operationalize ML models: Partner with ML Scientists to translate models into efficient, reliable pipelines and services, enabling seamless deployment and monitoring in production environments.Architect end-to-end ML infrastructure: Own the full lifecycle of ML solutions — from feature engineering and data pipelines to model serving, CI/CD, observability, and retraining.Develop hands-on; analyze large amounts of data, manage data quality, design & develop complex ML models (and the ensuing ML solutions) including ML pipelines, deploy & manage production-grade applications end-to-end, and tell the story in a compelling manner.Collaborate across teams: Work closely with data scientists, data engineers, platform teams, and business stakeholders to deliver solutions that align with product and business needs.Champion MLOps best practices: Establish & maintain infrastructure/tooling for versioning, experimentation, testing, deployment, and monitoring of ML models.Enable reproducibility and scale: Develop reusable components, templates, and automation to scale ML development across use cases and teams.Mentor and guide: Provide technical mentorship to junior engineers and scientists on engineering practices and production workflows.OUR IDEAL CANDIDATE WILL HAVE:High levels of curiosity, eager enthusiasm & demonstrable experience working on open-ended problemsStrong software engineering foundations, with expertise in Python and experience developing production-quality systems using best practices in testing, modularity, and documentation.Deep experience in MLOps and ML infrastructure, including model deployment, serving, CI/CD pipelines, containerization and orchestration.Experience deploying AI/ML models in production, working with large-scale datasets, streaming data, or real-time inference systems.Hands-on experience with cloud-native data and compute platforms (Snowflake, AWS/GCP/Azure), including resource optimization and cost-aware design.Experience with machine learning or statistical modeling on large datasets; pre-processing, data quality, feature engineering; Understanding of modern AI applications, including deploying Gen-AI/LLM-based solutions with techniques like RAG, prompt chaining, or agentic workflows.A bias toward action and ownership, with the ability to take vague requirements and turn them into high-quality, scalable engineering solutions. Adaptability, to respond to fast-evolving project scope, adjusting strategies & plans accordingly; comfortable being scrappy.Excellent collaboration and communication skills, able to work across disciplines and present complex ideas to both technical and non-technical audiences.Demonstrate keen senses of ownership, collaboration and mentorship; with the ability to inspire the team & lead a project to completion.Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.comThe following represents the expected range of compensation for this role: The estimated base salary range for this role is $173,000 - $264,500.Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.",Mid-Senior level,Senior Machine Learning Engineer
+957,2025-03-22,Palo Alto,CA,Rivian and Volkswagen Group Technologies,https://www.rivianvw.tech,"Rivian and VW Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technologies that will set the standards for software-defined vehicles around the world. ","About UsRivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.Role SummaryAs a Senior ML Software Engineer specializing in agentic applications, you will play a pivotal role in integrating Large Language Models (LLMs) with our internal and customer-facing applications. Your focus will be on leveraging LLMs to drive cognitive automation, streamlining workflows, and enhancing decision-making. You'll also champion best practices in full-stack development, ensuring the creation of production-grade tools that are scalable, reliable, and maintainable.ResponsibilitiesDesign and Implement Agentic Systems: Architect and develop intelligent agents that utilize LLMs to automate workflows, optimize operations, and elevate user experiences across our internal and customer-facing applications.Integrate LLMs into Existing Infrastructure: Create robust and scalable integrations between LLMs and our current software ecosystem, facilitating seamless communication and data exchange.Drive Cognitive Automation: Leverage LLMs to automate complex cognitive tasks, such as information extraction, summarization, and question answering, to enhance efficiency and accuracy.Champion Full-Stack Development: Take ownership of the entire development lifecycle, from conceptualization and design to implementation and deployment, for machine learning-powered tools and applications.Establish Best Practices: Define and implement industry-leading standards for building production-grade, full-stack machine learning solutions, ensuring scalability, reliability, and maintainability.Stay Ahead of the Curve: Continuously research and experiment with emerging trends and techniques in machine learning and natural language processing, incorporating them into our solutions as appropriate.Collaborate Cross-Functionally: Work closely with Machine Learning engineers, product teams, and other stakeholders to gather requirements, define project scope, and deliver impactful solutions.Mentor and Guide: Share your expertise and provide guidance to junior team members, fostering a culture of continuous learning and development.QualificationsAdvanced Degree: Bachelors, Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field.Proven Experience: 5+ years of hands-on experience in software engineering, with a focus on backend development. Experience building agent applications and working with LLM’s.Strong Technical Skills: Expertise in Golang, Python or similar programming languages, as well as cloud and container frameworks such as AWS and Kubernetes.Deep Understanding: Solid grasp of machine learning principles, algorithms, and evaluation metrics, as well as software engineering best practices.Production Experience: Demonstrated success in deploying and maintaining scalable backend software in production environments.Collaborative Spirit: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional team.Passion for Innovation: A genuine interest in exploring the latest advancements in machine learning and natural language processing and applying them to real-world challenges.Pay DisclosureSalary Range/Hourly Rate for California Based Applicants: $162,800.00 - $203,500.00 (actual compensation will be determined based on experience, location, and other factors permitted by law)Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums.Equal OpportunityRivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status.Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.Candidate Data PrivacyRivian and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies’ service providers, including providers of background checks, staffing services, and cloud services.Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information.Please note that we are currently not accepting applications from third party application services.",Not Applicable,"Sr. ML Software Engineer, GenAI"
+958,2025-03-24,Seattle,WA,Amazon,https://www.aboutamazon.com/,"Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
+
+Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
+
+Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
+
+You'll also hear us say that at Amazon, it's always ""Day 1.""​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.","DescriptionThe Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Software Development Engineer(SDE)/Machine Learning Engineer(MLE) to play pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs!Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other awe-inspiring Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry!So, if you're passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this exhilarating adventure and let's revolutionize AGI together! #MLEKey job responsibilities Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs. Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications. Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.A day in the lifeAs a SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software.About The TeamJoin our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming languagePreferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Master's degree in computer science or equivalent Experience in techniques like kernel fusion and custom kernels to improve GPU utilization, mixed precision training using lower precision and dynamic loss scaling while leveraging hardware specific mixed precision capabilities and/or demonstrated ability to implement efficient memory management like gradient (activation) checkpointing, gradient accumulation, offloading optimizer states, and smart prefetching.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2799313",Not Applicable,"Machine Learning Engineer, Amazon General Intelligence (AGI)"
+959,2025-04-04,Knoxville,TN,Tombras,http://www.tombras.com,"Tombras is a 450+ person, full-service agency with a digital mindset. We are one of the top independent agencies in North America. We are united by our philosophy: Connecting Data & Creativity for Business Results.®
+
+
+2023 AdAge A-List Standout 
+2022 ADWEEK US Agency of the Year (Finalist)
+2021 Fast Company World Changing Ideas
+
+
+Clients include Orangetheory Fitness, MoonPie, BUSH's Beans, Rolls-Royce, Pernod Ricard, Frito-Lay, Zaxby's
+
+
+
+","Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.Where you'll be working: Knoxville or Atlanta. Relocation assistance may be provided.The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results. This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.What you will be doing:Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the resultsDevelop the framework and approach for marketing science and develop bespoke offeringsEmploy best in class tooling to develop proprietary Martech in partnership with the Technology and Media practicesIdentify new and innovative data sets that can be used to improve existing modeling work, or deliver net new modelsClearly articulate statistical results to clients, ultimately leading to continued client engagement and implementationWhat you bring:M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research(Optional) Experience in marketing science or advertising analyticsMastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice ModelsStrong competency with python, R, SQL, and other commonly used statistical toolsClient services mindsetAbility to influence clients and partner agencies to act on insightsAbility to distill complicated information into succinct graphical presentations for senior stakeholdersWhy Join Tombras Analytics?Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.Why you’ll want to work at Tombras:You’ll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You’ll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.Tombras Benefits:Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.Dog-friendly officesUnlimited PTOGenerous parental leave for primary and non-primary caregivers.Medical (PPO or High Deductible option) for employee + dependents401(k) ParticipationEmployer-paid Dental & VisionA company culture of promotions from within and an atmosphere allowing for varied and rapid career development.New, Modern building in Downtown KnoxvilleWant more reasons to work at Tombras? Check out the latest Tombras News and Our Values.Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.Tombras is an E-Verify employer and participates in the E-Verify program.This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.",Not Applicable,Data Scientist
+960,2025-03-29,Westerville,Ohio,AssetWatch®,https://www.assetwatch.com/,"Predictive Maintenance Simplified.  Trial Vero, our rapidly deployable, end-to-end, condition monitoring solution risk-free for thirty days for only $199 on up to 50 machine assets (200 sensors).  We install the complete solution and will have experts monitoring your machine health the same day.   
+
+Request a demo by calling 844.464.5652 or visit  https://www.assetwatch.com/#getstarted","AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.We're seeking an experienced Machine Learning Solutions Engineer to join our team and play a critical role in developing, deploying, and managing machine learning models on AWS. You will collaborate with cross-functional teams to implement end-to-end ML pipelines, ensure seamless model deployment, and continuously monitor and evaluate model performance. As a subject matter expert in MLOps, you will also mentor other engineers and contribute to the development of our company's ML engineering capabilities.What You'll DoInfrastructure & Pipeline Management: Set up optimal ML infrastructure on AWS and construct a robust pipeline, covering data preprocessing, model training, and tuning.Data Ingestion & Feature Management: Ensure efficient data ingestion mechanisms and design Feature Store Data Models for streamlined storage of engineered features.AI Model Deployment on AWS: Seamlessly transition trained models into AWS production environments, ensuring integration and performance.Automation & Scaling: Streamline the model training process with automation, ensuring scalability and adaptability.Inference Pipelines: Craft inference mechanisms post-training that prioritize client load balancing and utilize containerization.Security & Version Control: Implement top-tier security standards, especially during deployment, and maintain best practices for ML model and data versioning.Model Monitoring & Evaluation: Establish mechanisms for data drift or concept drift post-deployment and initiate A/B tests to guide model refinements.Team Engagement & Continuous Learning: Collaborate with interdisciplinary teams throughout the model's lifecycle and stay updated on MLOps trends, AWS, and machine learning innovations.Who You Are BS or MS in Computer Science, Computer Engineering, or related field.At least 5 years of industrial experience in ML and with AWS.Demonstrable experience in deploying and prototyping AI models on AWS.Hands-on experience with specific AWS compute tools including AWS/Amazon SageMaker, container and deployment in ECS, Lambda, etc.Proficiency with various purpose-built databases within AWS, particularly those optimized for ML workloads.Strong proficiency in programming languages such as Python and SQL.Deep understanding of containerization techniques, especially in the context of ML model inference.Bonus Points For Familiarity with LLMs, Vector Databases and integration tools such as LangChainUnderstanding of a deep learning framework such as TensorFlow/Keras, or PyTorch and HuggingFace for LLMsFamiliarity with AI Model Explainability and Interpretability techniquesExperience with cloud-based services for IIoTFamiliarity with condition monitoring and predictive maintenance methodologies.Experience with big data processing frameworks like Apache Spark or Hadoop.AWS Certification(s)Familiarity with Infrastructure-as-Code (IaC) tools like AWS CDK or TerraformWhat We OfferAssetWatch is a remote-first rapidly growing startup providing a game changing condition monitoring platform and mobile experience in the industrial manufacturing space.Competitive compensation package including share options. Flexible work schedule Full benefits and 401K Opportunity to make a real impact every day Opportunity to work with an exciting and growing team Unlimited PTO We have a distributed team that works remotely across locations in the United States. We are open to candidates from most states but collaboration within core working hours is required.",Mid-Senior level,Machine Learning Solutions Engineer
+961,2025-04-08,Columbus,Ohio,BlockTXM Inc,http://www.blocktxm.com,"At BlockTXM, we're transforming the IT consulting and business process services landscape by expertly matching talents with opportunities.
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+As we continue to grow, we aim to create a global network of opportunities for both clients and talent, fostering connections that transcend borders and time zones.
+
+Our mission is to create an engaging and empowering talent experience that brings out the best in every individual. We believe in the power of remote work to transform lives, making the world more vibrant, one person at a time!
+
+Join us on this exciting journey as we continue to connect people with opportunities that allow their unique strengths and inner beauty to shine through. Remember, ""You alone decide what color your night shall be."" Embrace the future of work with BlockTXM – where every connection counts.","About the jobBuild the Path ForwardThe client, are attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.Manufacturing demands exceptionally high performance. We're developing intelligent robots to address the long-tail challenges in this industry. This has been a longstanding challenge that traditional robots have been unable to overcome. We are seeking a Senior Machine Learning Engineer with expertise in video generation, neural simulators, large-scale model training, and foundational model development, with a strong understanding of robotics and software engineering for a client based in Columbus, Ohio. Your expertise will help bring AI-driven robotic capabilities to life, enabling intelligent and adaptive machines.This role can be located in our Columbus, Ohio Headquarters or Remote.What You’ll DoGive our robots a world model where they can learn and imagine. Develop a multimodal neural simulator for manufacturing tasks. Full stack AI engineering including but not limited to data pipelines, model training, and model deployment. Design, train, and optimize large-scale models from scratch for robotic perception and control.Stay up to date with advancement generative AI to improve the fleet performance.Who You AreBuilt and deployed modern AI robotics systems in an industry setting.You have projects related to neural simulators and world models.Experience with training video generation models.Experience with training large models and relevant tooling and infrastructure.5+ years of experience in machine learning, deep learning, and robotics applications.Strong software engineering skills with expertise in Python and ML frameworks (JAX, PyTorch, TensorFlow).Contributed to open-source projects or publications in top-tier robotics/ML conferences.",Mid-Senior level,Senior Machine Learning Engineer
+962,2024-05-31,Miami,Florida ,Maverc Technologies,http://Www.Maverc.com,"Maverc brings proven operational excellence, flexibility and customer-focused innovation together to drive progressive outcomes at the pace of business. 
+
+Cybersecurity capabilities that span risk management and transformation, threat management, security operations, and integration and innovation, aiding organizations in fulfillment of stronger and more robust cybersecurity programs that support business necessities and outcomes. At Maverc, we are transforming cybersecurity to enable clients to modernize their consumption models, maximize value, achieve quantifiable results, and achieve complete solutions and business alignment.","Become part of a team solving the most significant Cybersecurity & IT Challenges and helping keep the world's largest and most elite brands safer from cyber threats. At Maverc we have a powerful mindset based on our core values of being accountable, helpful, adaptable, and focused. Maverc Technologies is a proven and effective small business partner and consultant, recognized as a leader in providing cyber security and IT services to the Federal, State, and local Government and within the Intelligence Community. Maverc Technologies is seeking an Machine Learning Engineer to support one of our corporate customers.Job Duties And ResponsibilitiesA talented Machine Learning Engineer to support our AI Center of Excellence! In this role, you and your team will be responsible for the entire lifecycle of machine learning models, from managing and deploying them to troubleshooting any pipeline issues that arise. We offer a collaborative environment where you will work closely with engineers and data scientists to bring impactful ML solutions to life.Responsibilities include, but are not limited to:Manage and deploy machine learning models into productionDebug and troubleshoot issues with deployment pipelinesUtilize and understand core ML toolingWork with dataframes to manipulate and prepare data for modelsCollaborate with the various teams within the AI Center of Excellence to ensure successful model implementationAnalyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsRequirementsQUALIFICATIONS AND EXPERIENCE Active SECRETUS CitizenshipMinimum of 8 years' experience in DevOps or MLOpsUnderstanding of machine learning modeling techniques and algorithmsExperience with Python, Docker, Kubernetes and GitSkilled in common data science libraries (Scikit-learn, PyTorch, etc)Strong math skills (e.g. statistics, algebra)Problem-solving aptitudeExcellent communication and presentation skillsExperience with deploying open-source LLMsDataBricksSplunkContinuous Integration/Continuous DeploymentKnowledge of statistics and concepts in neural networksEducation: Bachelor's or Master's in Computer Science, Computer Engineering, or other related field.BenefitsJoin Maverc. Be Valued.**At Maverc, we are an inclusive community where diversity in all its forms is embraced, respected, and recognized as a true asset to the company. We are dedicated to fostering this inclusive environment, though we acknowledge that there is always room for improvement. Maverc is committed to evolving into a more inclusive and equitable organization, upholding the principles of equal employment opportunity and affirmative action.Maverc is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on gender, gender identity or expression, sexual orientation, race, age, religion, physical or mental disability, veteran status, or other protected characteristics under federal, state, and local laws.As a federal contractor, Maverc has implemented affirmative action programs to ensure non-discrimination and promote affirmative action in our policies and practices for qualified women, minorities, protected veterans, and individuals with disabilities. The narrative portion of Maverc's affirmative action plans is available for inspection at our offices during normal business hours. Employees and applicants interested in reviewing these plans should contact Human Resources at or hr@maverc.com for assistance.If you are interested in applying for a position with Maverc and require special assistance or accommodation to apply for a posted position, please contact our Human Resources department at hr@maverc.com or by calling 888-948-1468.Exceptional People, Outstanding BenefitsExceptional people are the cornerstone of any successful company. To attract and retain such talent, Maverc provides fulfilling work opportunities that complement a balanced lifestyle. We achieve this by offering exceptional benefits, enabling our employees to live and work well.Health Care Plan (Medical, Dental & Vision)Retirement Plan (401k, IRA)Life Insurance (Basic, Voluntary & AD&D)Paid Time Off (Vacation, Sick & Public Holidays)Training & DevelopmentWork From Home",Mid-Senior level,Senior Machine Learning Engineer
+963,2025-03-29,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF). Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 2+ years of professional software development experience Proficiency in at least one programming language Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference) 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Hands-on experience with generative AI technologyPreferred Qualifications Bachelor's degree in computer science or equivalent Hands-on experience with at least one ML library or framework 1+ years of experience in developing, deploying or optimizing ML models. 2+ years of experience in the full software development life cycle, including coding standards, code reviews, version control, build processes, and testing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2921473",Not Applicable,"Machine Learning Engineer, Generative AI Innovation Center"
+964,2025-04-03,Palo Alto,CA,HP,http://www.hp.com,"We believe growth and fulfillment through technology is the Future of Work. Our vision is to deliver intelligent solutions that enable growth and more fulfilling work experiences wherever work gets done.
+
+Our technology – a product and service portfolio of personal systems, printers, and 3D printing solutions – was created to inspire our vision and we are doing everything in our power across climate action, human rights, and digital equity to make it so.
+
+We believe thoughtful ideas can come from anyone, anywhere, at any time. And all it takes is one to change the world.
+","Job Summary This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The role designs and develops methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions. The role develops programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.Responsibilities Oversees data mining using modern tools and programming languages. Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models. Drives the implementation of models to uncover patterns and predictions creating business value and innovation. Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights. Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences. Leads a project team of data science professionals and provides guidance, training and mentoring to less experienced staff members. Collaborates and communicates with project team regarding project progress and issue resolution. Represents the data science team for all phases of larger and more-complex development projects. Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters. Maintains proficiency within the data science domain by keeping up with technology and trend shifts.Education & Experience Recommended Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.Preferred Certifications Programming Language/s Certification (SQL, Python, or similar)Knowledge & Skills Algorithms Amazon Web Services Apache Spark Artificial Intelligence Big Data Computer Science Data Analysis Data Mining Data Science Data Visualization Deep Learning Machine Learning Natural Language Processing Predictive Modeling Python (Programming Language) R (Programming Language) SQL (Programming Language) Statistical Modeling Statistics Tableau (Business Intelligence Software) Power AutomateCross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer CentricityImpact & Scope Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.Complexity Responds to moderately complex issues within established guidelines.Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.The base pay range for this role is $ 104 800 up to $149 350 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.BenefitsHP offers a comprehensive benefits package for this position, including:Health insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including;4-12 weeks fully paid parental leave based on tenure11 paid holidaysAdditional flexible paid vacation and sick leave (US benefits overview)The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.",Mid-Senior level,Data Scientist
+965,2025-04-03,Omaha,Nebraska,Aviture,https://www.aviture.us.com,"Unlock the Art of the Possible with Aviture. As your trusted partner in innovation, we specialize in engineering, business solutions, and custom software solutions — empowering organizations to dream bigger, move faster, and build better.","What is Aviture?Aviture is a full-service technology consulting firm with expertise in software solutions for both commercial and government organizations.We believe software doesn’t mean anything unless it solves a problem, so we create technology to enable users, open possibilities, and create meaningful impact.“I wanted to create a company that I would have wanted to work at when I was an engineer.” — Mark Griffis, PresidentWe are headquartered in Omaha, Nebraska, with remote employees across the nation: Las Vegas, Washington D.C., Austin, Dallas, Portland, Green Bay, Kansas City, Madison, Minneapolis, and Orlando, just to name a few.What is Aviture’s Art of the Possible?Along with our mission-driven team’s deep expertise in a wide range of development languages, we employ a disciplined agile approach to define goals upfront, keep organizational value at the forefront, and set the pace for rapid, iterative innovation that transforms organizations. We call this the Art of the Possible.The Solutions We’ve Created Have Saved lives in the California wildfires and southern U.S. flooding Provided security for the 2020 Presidential Inauguration, Super Bowl, and post-attack Boston Marathon Enabled augmented-reality training environments for surgeons Increased transparency and promoted patient wellness in hospitals and senior care facilities Combined computer vision and robotics to automate dangerous manual labor tasks And much more!Why You’ll Want to Live AviturianAviturians Create Technology That Makes a Meaningful Difference In Someone’s Life. We’re a Team Made Up Of Designers, Engineers, Developers, And Inventors Who Believe Technology’s Purpose Is To Empower Users To Change The World. Here Are The Values That Guide Us Embody integrity Seek ownership Stay hungry Remain grounded Create impact Challenge with respectWe’ve built our culture around creativity, continuous learning, and our shared values. If that sounds like something you’d like to be a part of, then join us today!RequirementsAviture is seeking a Software Engineer Intern to participate in all phases of the software development process including design, development, testing, and deployment of custom solutions. The Software Engineer Intern will be a contributing member of a development team providing solutions to one of Aviture's clients. Engineers at Aviture participate by providing feedback on the code written by their teammates through peer-reviews. They also incorporate feedback they receive from their teammates into their solutions.Required SkillsCurrently working on obtaining a bachelor's degree preferably in Computer Science, Software Engineering or related field of studyComfortable working in a collaborative environment and providing status on a daily basisInterest and ability to learn new technologies and techniquesPassionate about delivering quality software that solves real-world needsAble to multi-task and work in a dynamic, fast-pace environmentGood verbal and written communication skillsUS CitizenBenefitsPaid InternshipFree lunch FridaysQuarterly company eventAviture hosted Speaker Series",Internship,Software Engineer Internship
+966,2025-03-25,Atlanta,Georgia,Calendly,http://Calendly.com,"At Calendly, our vision is to take the work out of connecting with others so you can accomplish more. 
+
+Our scheduling automation platform helps individuals, teams, and organizations globally automate meetings by removing the back and forth with scheduling. Our platform enables companies to close deals, hire candidates, build relationships, and grow their business — faster. 
+
+More than 20 million users across 230 countries use Calendly to simplify meetings and collaborate more effectively and efficiently. ","About The Team & OpportunityWhat’s so great about working on Calendly’s Data Science & Machine Learning team?We make things possible for our customers through innovation in data, analytics and AI.Why do we need you? Well, we are looking for a Senior Machine Learning Engineer who will bring the track record of delivering business value through executing hands-on full machine learning lifecycle. You will report to the head of Data Science & Machine Learning and will be responsible for driving new initiatives using the latest advancements in ML, working closely with cross-functional teams, and helping to drive business insights & growth as well as creating magical experiences for our end customers through innovation. We have a product focus and passion for using machine learning to solve real-world problems, and understand that being an effective MLE is about collaborating with people as much as it is about writing code. You will join a great data team and be an integral part of building new, machine learning-based experiences for internal and external customers alike.A day in the life of a Senior Machine Learning Engineer at CalendlyOn a Typical Day, You Will Be Working OnCollaborating cross-functionally with software engineers, product managers, and data scientists to understand business needs, define priorities, and contribute to impactful machine learning solutionsDeveloping and deploying ML models and pipelines at scale, supporting both batch and real-time use casesLeveraging cloud-based ML services and tools to build efficient, reusable, and high-performing machine learning systems that enable rapid model development and reliable servingOptimizing ML models for performance and scalability, ensuring they meet latency SLAs while handling production traffic; conducting live experiments to evaluate and improve model performanceWhat do we need from you?5+ years of industry experience in applied Machine Learning (or 3+ years with a PhD in a relevant field)A solid foundation in machine learning and statistics – Extensive experiences with probabilistic modeling, statistical inference, hypothesis testing, and traditional ML techniques; familiarity with recent advancements in large language models and related technologiesSolid software engineering skills – Proficiency in Python and familiarity with CI/CD for ML, containerization (Docker, Kubernetes), and model observabilityBackend engineering and ML infrastructure – Experience building scalable ML pipelines, integrating ML models into production, and working with cloud platforms (AWS, GCP, Azure); experience with distributed computing or database technologies is a plusFamiliarity with modern ML tools – Familiarity with PyTorch, TensorFlow, JAX, Hugging Face, LangChain, vector databases, and model-serving frameworksThe ability to take initiative, solve problems efficiently, and know when to seek helpAbility to thrive in ambiguity, move fast, and focus on delivering impactAbility to clearly articulate technical concepts and work cross-functionally with engineers, product managers, and analystsCuriosity and continuous learning – You stay updated on ML/AI advancements and explore opportunities to apply them effectivelyComfort with working remotely and with enabling tools like Slack, Confluence, etc.Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time What’s in it for you? Ready to make a serious impact? Millions of people already rely on Calendly’s products, and we’re still in the midst of our growth curve — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey.If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com . Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Alabama, Delaware, Hawaii, Idaho, Montana, North Dakota, South Dakota, Nebraska, Iowa, West Virginia, and Rhode Island, you will not be eligible for employment. Note that all individual roles will specify location eligibility.All candidates can find our Candidate Privacy Statement hereCandidates residing in California may visit our Notice at Collection for California Candidates here: Notice at CollectionThe ranges listed below are the expected annual base salary for this role, subject to change.Calendly takes a number of factors into consideration when determining an employee’s starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity.Base salary is just one component of Calendly’s total rewards package. All full-time (30 hours/week) employees are also eligible for our Quarterly Corporate Bonus program (or Sales incentive), equity awards, and competitive benefits.Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows:Tier 1: San Francisco, CA, San Jose, CA, New York City, NYTier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA.Tier 3: All other locations not in Tier 1 or Tier 2Tier 1 Salary: $188,800 USD - $255,200 USDTier 2 Salary: $173,000 USD - $234,000 USDTier 3 Salary: $157,300 USD - $212,700 USD",Not Applicable,Senior Machine Learning Engineer
+967,2025-04-09,Oakland,California,Block,https://block.xyz/,"Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. ","Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.The RoleThe Block Financial Crimes Machine Learning team is responsible for detecting, preventing, and reporting illegal activity across all markets in which Block operates. We work globally with partners in business, engineering, counsel and product to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.We leverage Machine Learning as an integral part of our toolkit to fulfill our mission. We employ scalable solutions in order to monitor hundreds of billions of dollars in transactions. We uncover and put an end to money laundering, terrorist financing, and other illegal activities before they impact our users. Additionally, we improve workflow and case tools, adding features that empower investigator productivity and automate the high volume of monitoring. We are looking for senior MLEs interested in building scalable frameworks for deploying machine learning solutions in production environmentsYou WillDesign and build services and tooling that support our ML modelers and analystsIntegrate diverse data streams across products to build high-quality signals that power efficient modelsBe the MLOps lead and facilitate modelers on the team by unblocking access to the infrastructure/tools necessary for development & production workDevelop prototypes and partner with ML modelers to encourage adoption of new tools and technologiesProactively identify new opportunities and future needs of our ML teamsLead by example by applying ML and engineering best practicesStay current on ML infrastructure changes at Block and advocate/educate the team about new developments by sharing resources, demos and PoCsHave a significant impact on influencing team culture and directionYou Have5+ years of software engineering or machine learning experienceA degree (preferable graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical fieldAn ability to maintain critical production software and build new production software from scratchPrior experience working with product, engineering, and business to prioritize, scope, design, and deploy ML tooling and infrastructure at scaleNatural curiosity and desire to grow and help shape all aspects of our small and growing teamExcellent written and oral communication skills, both technical and non-technical, and are comfortable working with a cross-functional, globally distributed teamWe're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D pageBlock will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and ""fair chance"" ordinancesBlock takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.Zone A$189,000—$283,600 USDZone B$179,600—$269,400 USDZone C$170,100—$255,100 USDZone D$160,700—$241,100 USDEvery benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.Privacy Policy",Mid-Senior level,"Senior Machine Learning Engineer, Financial Crimes, Block"
+968,2025-03-31,Wilmington,OH,R+L Carriers,https://rlc.com,"Based in the United States, R+L Carriers is a Global Freight Transportation and Logistics company that has remained family-owned and operated since 1965. R+L Carriers offers one of the most comprehensive networks of nationwide service centers for LTL, Truckload, Expedited, and Cross-Border Shipping. In addition to its core shipping solutions, R+L Carriers has a portfolio of services that extends to International Supply Chain Management, Warehousing, and Customs Brokerage.","Job DescriptionEssential Duties and Responsibilities:Work with large amounts of structured and unstructured data.Work with internal stakeholders to explore and understand business data.Apply complex analytical techniques to derive actionable insights.Design and implement data science applications.Design, build, automate, deploy and maintain machine learning production pipelines.Implement machine learning model lifecycle management framework.Build model performance tracking tools, to monitor month over month model performance, identify drivers and provide recommendations for model performance improvementCollaborate with other salesforce data science and engineering teams to establish, formulate and build insight-based feature store.Author technical documentation and reports to communicate process and resultsQualificationsBachelor or Masters degree in Physics, Mathematics, Statistics, Computer Science or related field with project experience in machine learning and statistical modeling2-3 years hands on experience in building data science applications and machine learning pipelines.Working knowledge of one or more SQL languages: Oracle, MySQL, PostgreSQL, Redshift, etc.Working knowledge of one or more scientific programming languages/packages: Python or RDevelopment experience in at least one programming language: Python, Java, C++, etc.Knowledge of common machine learning and statistics frameworks and conceptsExperience with large data sets, distributed computing and cloud computing platforms.We offer a comprehensive benefits package that includes medical, dental, vision, life, a 401(k) retirement plan and free vacation lodging at our employee resorts in Daytona Beach, FL, Big Bear Lake, CA, Ocean Isle Beach, NC, and Pigeon Forge, TN.",Entry level,Machine Learning Engineer
+969,2025-03-26,Seattle,WA,Amazon Web Services (AWS),http://aws.amazon.com,"Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.
+
+Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.","DescriptionThe Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.As an Software Development Engineer (SDE) on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS’s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.Key job responsibilities Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutionsA day in the lifeAs You Design And Code Solutions To Help Our Team Drive Efficiencies In Software Architecture, You’ll Create Metrics, Implement Automation And Other Improvements, And Resolve The Root Cause Of Software Defects. You’ll Also Build high-impact Gen AI solutions to deliver to our large customer base Participate in design discussions, code review, and communicate with internal and external stakeholders Work cross-functionally to help drive business solutions with your technical input Work in a startup-like development environment, where you’re always working on the most important stuffAbout The TeamABOUT AWS:Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference) Hands-on experience with generative AI technologyPreferred Qualifications 3+ years of full stack development experience Bachelor's degree in computer science or equivalent Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field 1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or frameworkAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon Web Services, Inc.Job ID: A2937070",Not Applicable,"Machine Learning Engineer, Gen AI Innovation Center, AWS"
+970,2025-03-19,China,China,ByteDance,https://job.bytedance.com/en/#/,"ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok.
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+Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. 
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+Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.
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+We have over 110,000 employees based in more than 30 countries globally. Join us.","ResponsibilitiesThe mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer in MLDev (Machine Learning System) to join our team to support and advance that mission.Responsibilities: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models. Responsible for building a flexible and easy-to-use Machine Learning development API framework. Responsible for collaboration with model teams and providing general solutions to meet their requirements. Convert high-level ML models into formats that can run efficiently on different hardware, and optimize performance.QualificationsMinimum Qualifications: Proficient in Python/C/C++, and have solid programming skills. Familiar with deep learning frameworks (TensorFlow/Pytorch). Capable of using compiler development tools such as MLIR, LLVM, as well as parallel computing platform such as CUDA. Familiar with common machine learning models (MLP/WordEmbedding/Transformer).Preferred Qualifications: At least 5 years of experience in GPU performance optimization. Experience in developing and deploying large-scale systems. Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $413250 - $555750 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.About UsFounded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.Why Join ByteDanceInspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.Reasonable AccommodationByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Entry level,Machine Learning Engineer - MLDev
+971,2025-03-21,San Francisco,California,Pinterest,https://www.pinterest.com/,"Pinterest's mission is to bring everyone the inspiration to create a life they love. It's the visual inspiration platform where 550+ million monthly active users worldwide come to search, save, and shop the best ideas in the world for all of life’s moments. ","About PinterestMillions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics.At Pinterest our goal is to inspire Pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 500M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience.Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest’s vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable skin tone, hair pattern search refinements, and more recently, body type.We are looking for a Tech Lead Engineer to steer pivotal engineering initiatives in the Responsible AI space, collaborating with senior leaders to refine and set our technical direction. You’ll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you’ll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest.What You'll DoLead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI. Collaborate with other engineering teams (trust and safety, user modeling, content understanding,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.Mentor junior engineers on the Responsible AI team and across the company on the R-AI space.Work with the team and senior leaders at the company to define and drive technical strategy in this area.What We're Looking For Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations.Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs) and their applications in large-scale Search and Recommender Systems.Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact.5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products2+ years experience leading cross-team engineering efforts.Masters or PhD in Comp Sci or related fieldsDesired skills:Demonstrated track record in shaping and executing large-scale technical roadmaps, balancing immediate needs with long-term vision, defining clear OKRs, and orchestrating cross-functional efforts to deliver production-grade solutions that significantly enhance user experiences.Deep expertise in designing and scaling backend and ML systems for high-traffic, user-facing products, with a full-stack understanding of system architecture, data pipelines, and model deployment workflows.Proven success in collaborating with engineering teams to deploy ML capabilities that improve fairness and reduce bias in recommendation, content understanding, and ranking systems at scale.Relocation Statement:This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.In-Office Requirement StatementWe let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.Information regarding the culture at Pinterest and benefits available for this position can be found here.US based applicants only$208,145—$364,254 USDOur Commitment To InclusionPinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.",Mid-Senior level,Staff Machine Learning Engineer - Responsible AI
+972,2025-04-03,New York,NY,Imprint,http://www.imprint.co,Come and build the easiest and most rewarding way to pay!,"Who We AreImprint is building a next-generation co-branded credit card company to serve America’s great brands. Some of our partners include H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer. Imprint is backed by Khosla Ventures, Kleiner Perkins, and Thrive Capital. We are focused on building a brilliant team who want to change payments and who embody our Operating Principles.The TeamThe Data Analytics team at Imprint builds the data foundation that powers smarter, faster decision-making. We develop infrastructure and analytics systems that support both daily operations and long-term strategy, enabling high-quality insights into customer behavior, product performance, and business growth. Our work helps teams across Imprint make informed, data-driven decisions at scale.You’ll be part of a high-trust, high-impact team where your work won’t just be seen—it’ll shape how we grow.What You’ll DoApply statistical inference, experimentation, and behavioral analytics to improve LTV/CAC and accelerate feedback loops.Be a champion of A/B testing. Partner with cross-functional teams to design, analyze, and interpret A/B tests correctly, rigorously measuring impact with scalable frameworks and data tooling.Build segmentation frameworks and predictive models to drive targeting and personalization.Translate data into clear narratives that influence product decisions, marketing campaigns, and executive strategy.Support Automation projects as needed—e.g. anomaly detection, partner data reporting, or internal self-serve tools/dashboards.What We Look For6+ years of experience in data science, analytics, or a related field—ideally at a high-growth startup or fintech company.Proven expertise in statistical inference, causal analysis, and experimentation design.Experience with marketing or product analytics (e.g., user segmentation, campaign attribution, experimentation).Strong SQL and Python skills. You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet.A highly analytical mindset with a bias toward action.Ability to clearly communicate complex findings to technical and non-technical audiences alike.Comfortable owning projects end-to-end and collaborating cross-functionally to drive impact.Bonus Points ForExperience building or scaling experimentation infrastructure.Familiarity with dashboarding tools (e.g., Sigma, Looker).Experience in credit, lending, or card products. Exposure to lifecycle marketing or prescreen modeling.Perks & BenefitsCompetitive compensation and equity packagesFlexible vacation policyFully covered, high-quality healthcare including fully covered dependent coverageAdditional health coverage includes access to One Medical and option to enroll in an FSA16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parentsAccess to industry-leading technology across all of our business units — stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivityAnnual salary range: $150k - $250k, and competitive equity packageImprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.",Entry level,Data Scientist
+973,2025-02-17,Irvine,CA,Rivian,https://careers.rivian.com/,"Doing something different is never easy. It requires courage, optimism and grit. Core to our mission is building a team of adventurous individuals determined to make a positive impact on the world. This means challenging ourselves constantly. Stretching beyond the bounds of conventional thinking. Reframing old problems. Seeking new solutions. And operating comfortably in a space of uncertainty. While our backgrounds are diverse, our team shares a love of the outdoors and a desire to protect it for future generations. Do you like doing the impossible? We’d love to hear from you.","At Rivian, our mission revolves around developing vehicles powered by software and data. As a Staff Machine Learning Engineer, you will be a crucial part of our team, working alongside engineers, data scientists, and domain experts to build models at scale, predict vehicle performance, and optimize SW parameters throughout the vehicle's lifetime. We leverage the power of big data collected from our extensive customer and commercial fleets to achieve this.  We are looking for a Staff Machine Learning Engineer specializing in Deep Learning to build cutting-edge models for vehicle intelligence, anomaly detection, and predictive maintenance. If you thrive in a research-driven, applied AI environment, this is the perfect opportunity to push the boundaries of GANs, VAEs, Transformers, and Autoencoders in real-world applications. Develop and optimize Deep learning models for vehicle control, user-interaction models, and dynamic decision-making.Apply Imitation Learning to enhance vehicle behavior prediction and self-adaptive AI systems.Architect Generative AI models (GANs, VAEs, Transformers, Autoencoders) for anomaly detection, predictive maintenance, and real-time vehicle intelligence.Build self-learning AI systems that improve vehicle performance over time through continuous learning from fleet data.Design unsupervised & self-supervised learning models to process high-dimensional vehicle telemetry data.Collaborate with data scientists, software engineers, and vehicle system experts to deploy AI-powered automotive solutions.Work on LLM-based automation tools, including AI-driven requirement management and chatbot-based vehicle control support.Improve MLOps pipelines for efficient AI/ML deployment and lifecycle management. M.S. or Ph.D. in Machine Learning, AI, Computer Science, or a related STEM discipline.Expertise in Deep Learning, Reinforcement Learning, and Imitation Learning.Experience developing Generative AI models (GANs, VAEs, Transformers, Autoencoders).Proficiency in deep learning frameworks (TensorFlow, PyTorch).Strong software engineering skills in Python, Apache Spark, and cloud-based ML frameworks (AWS/GCP/Azure).Experience optimizing AI models for real-time decision-making and large-scale deployment.",Mid-Senior level,"Staff AI/ML Engineer, Vehicle Software"
+974,2025-04-02,Bentonville,Arkansas,Walmart,https://bit.ly/3IBowlZ,"Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands, you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world. 
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+We are ecstatic to have been named a Great Place to Work® Certified May 2023 – May 2024, Disability: IN 2023 Best Places to Work, and Fast Company 100 Best Workplaces for Innovators 2023.
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+This is that place where your passions meet purpose. Join our family and build a career you’re proud of.","We are seeking a talented and experienced Senior Software Engineer to join our dynamic team in Sunnyvale, CA. In this role, you will be responsible for designing, developing, and maintaining scalable systems while utilizing cutting-edge technologies. This is an onsite position, and we are looking for individuals who can bring strong technical expertise to the team.The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.Key Responsibilities:Design and implement high-performance software solutionsWork with big data technologies like Hadoop and Kafka to build scalable systemsDevelop data pipelines and manage workflows with tools such as AirflowCollaborate with cross-functional teams to define and refine system architectureTroubleshoot and optimize system performanceWrite high-quality, maintainable code in JavaParticipate in code reviews, providing feedback and mentorship to junior developersEnsure the reliability, security, and scalability of our systemsRequirements:9+ years of experience as a Software EngineerStrong proficiency in Java and object-oriented programmingHands-on experience with Hadoop, Kafka, and AirflowProven experience in building and maintaining scalable distributed systemsSolid understanding of database management and data processing frameworksExcellent problem-solving skills and attention to detailAbility to work independently as well as part of a collaborative teamStrong communication skillsAdditional Information:Location: Onsite in Sunnyvale CAVisa Sponsorship: Not availableIf you’re passionate about building scalable systems with modern technologies and enjoy solving complex problems, we would love to hear from you.",Mid-Senior level,Senior Software Engineer
+975,2025-02-28,Irvine,CA,Rivian,https://careers.rivian.com/,"Doing something different is never easy. It requires courage, optimism and grit. Core to our mission is building a team of adventurous individuals determined to make a positive impact on the world. This means challenging ourselves constantly. Stretching beyond the bounds of conventional thinking. Reframing old problems. Seeking new solutions. And operating comfortably in a space of uncertainty. While our backgrounds are diverse, our team shares a love of the outdoors and a desire to protect it for future generations. Do you like doing the impossible? We’d love to hear from you.","As a Senior ML Software Engineer specializing in agentic applications, you will play a pivotal role in integrating Large Language Models (LLMs) with our internal and customer-facing applications. Your focus will be on leveraging LLMs to drive cognitive automation, streamlining workflows, and enhancing decision-making. You'll also champion best practices in full-stack development, ensuring the creation of production-grade tools that are scalable, reliable, and maintainable. Design and Implement Agentic Systems: Architect and develop intelligent agents that utilize LLMs to automate workflows, optimize operations, and elevate user experiences across our internal and customer-facing applications.Integrate LLMs into Existing Infrastructure: Create robust and scalable integrations between LLMs and our current software ecosystem, facilitating seamless communication and data exchange.Drive Cognitive Automation: Leverage LLMs to automate complex cognitive tasks, such as information extraction, summarization, and question answering, to enhance efficiency and accuracy.Champion Full-Stack Development: Take ownership of the entire development lifecycle, from conceptualization and design to implementation and deployment, for machine learning-powered tools and applications.Establish Best Practices: Define and implement industry-leading standards for building production-grade, full-stack machine learning solutions, ensuring scalability, reliability, and maintainability.Stay Ahead of the Curve: Continuously research and experiment with emerging trends and techniques in machine learning and natural language processing, incorporating them into our solutions as appropriate.Collaborate Cross-Functionally: Work closely with Machine Learning engineers, product teams, and other stakeholders to gather requirements, define project scope, and deliver impactful solutions.Mentor and Guide: Share your expertise and provide guidance to junior team members, fostering a culture of continuous learning and development. Advanced Degree: Bachelors, Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field.Proven Experience: 5+ years of hands-on experience in software engineering, with a focus on backend development. Experience building agent applications and working with LLM’s.Strong Technical Skills: Expertise in Golang, Python or similar programming languages, as well as cloud and container frameworks such as AWS and Kubernetes.Deep Understanding: Solid grasp of machine learning principles, algorithms, and evaluation metrics, as well as software engineering best practices.Production Experience: Demonstrated success in deploying and maintaining scalable backend software in production environments.Collaborative Spirit: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional team.Passion for Innovation: A genuine interest in exploring the latest advancements in machine learning and natural language processing and applying them to real-world challenges.",Mid-Senior level,"Sr. ML Software Engineer, GenAI"
+976,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+977,2025-03-03,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
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+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
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+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
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+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer (Technical Leadership) - Machine Learning Responsibilities:Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficientEffectively communicate complex features & systems in detailUnderstand industry & company-wide trends to help assess & develop new technologiesPartner & collaborate with organization leaders to help improve the level of performance of the team & organizationIdentify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideasSuggest, collect and synthesize requirements and create an effective feature roadmapDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based modelsAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Experience leading projects with industry-wide impactExperience communicating and working across functions to drive solutionsExperience in mentoring/influencing senior engineers across organizationsProven track record of planning multi-year roadmap in which short-term projects ladder to the long-term visionExperience in driving large cross-functional/industry-wide engineering efforts12+ years of experience in programming languages (Python, C++, Java or R) with technical background8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligencePreferred Qualifications:Experience in shipping products to millions of customers or have started a new line of productExperience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/SparkAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$213,000/year to $293,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,Software Engineer (Technical Leadership) - Machine Learning
+978,2025-04-08,Mountain View,CA,Google,https://goo.gle/3DLEokh,"A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
+
+Check out our career opportunities at goo.gle/3DLEokh","Minimum qualifications:Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.Preferred qualifications:5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.PhD degree in Statistics, Data Science, Machine Learning, or, Physics, or, 3 years of work experience.About The JobDespite being used over one billion times per day, YouTube Search has only been recently explored from a data science perspective. There is quite a bit of unexplored territory where we can define foundational concepts with large scale impact and leverage.In this role, you will be the first go-to analyst to work on Search Verticals. Search Verticals is a full-stack area, and you will leverage your skills across multiple core competencies, such as ML classifier development, ranking, and experiments, to understand and optimize the YouTube Search Vertical experience.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .ResponsibilitiesCollaborate with stakeholders in cross-project and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .",Not Applicable,"Research Data Scientist, YouTube Search"
+979,2025-04-07,Brooklyn,NY,Etsy,http://www.etsy.com,"Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. Etsy Inc. employees – whether a team member of Etsy, Reverb, or Depop – tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
+
+Founded in 2005, Etsy is headquartered in Brooklyn, NY with additional offices in Dublin and Mexico City. As of December 31, 2023, our marketplaces connect 9 million active sellers – including 7 million on Etsy.com, 80% of whom are women – and 96 million active buyers in nearly every country in the world. In 2023, we facilitated over $13 billion in transactions.","Company DescriptionEtsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.Salary Range$163,000.00 - $211,000.00What's the Role?We are looking for a Staff Data Scientist to join our Marketing Analytics team in Brooklyn, supporting Etsy’s ATL & Brand Marketing teams with a focus on marketing mix modeling!This is a full-time position reporting to the Analytics Manager and the base salary range will be $163,000- $211,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.This role requires your presence in Etsy’s Brooklyn Office once or twice per week depending on your proximity to the office. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub may be the first to be considered. Learn more details about our work modes and workplace safety policies here.What’s this team like at Etsy? The Marketing Analytics team helps drive the success of marketing efforts at Etsy by providing meaningful insights, industry-leading measurement techniques, and access to the metrics, data, and tools needed for decision-making and optimization.Our mission is to demystify marketing with insights grounded in data, telling the story of how we attract and retain our users to teams, to senior management, and to the community. We partner with our peers in marketing, analytics, research, product, engineering, and finance through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience.As a key member of the analytics team, you will focus on marketing mix model testing and implementation, which is a critical source of measurement for our marketing teams. This position will focus heavily on automating complex data pipelines, developing and refining models, and building proprietary tools and techniques to advance Etsy’s marketing mix modeling practice.Learning new skills and techniques is not only a requirement but a perk of the job. We are always looking for opportunities to improve. Our mission is to demystify marketing with insights grounded in data, telling the story of how we attract and retain our users to teams, to senior management, and to the community.What does the day-to-day look like?Apply the latest advances in analytics to our marketing mix modeling (MMM) workstream, including data management, modeling, and report automationPrototype, optimize, and implement marketing mix models to guide our marketing team’s testing priorities and investment decision makingWork cross functionally with marketing teams and communicate your ideas and model capabilities to analytics and marketing stakeholdersContinually evaluate and refine your technical toolkit, sharing what you learn with the teamWork closely with analytics and marketing leaders to improve the quality and depth of our marketing measurement processesOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.Qualities that will help you thrive in this role are:You are a strong, independent, analytical problem solver who enjoys applying statistical techniques in addressing real-world problems.You have 6+ years of proven experience as a data scientist/analyst or in a quantitative role in which you have direct experience developing and testing marketing mix models.You have a Mastery of SQL (experience with BigQuery preferred) and advanced proficiency in R/Python required. Bonus points for experience with existing open source MMM packages, Looker, Looker Studio or other data visualization software.You are passionate about subjects such as experimental design, time series modeling, and causal inference.You are comfortable communicating technical findings clearly and effectively to both technical and non-technical stakeholders.Additional InformationWhat's NextIf you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.Our PromiseAt Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.",Mid-Senior level,"Staff Data Scientist, Marketing"
+980,2025-04-04,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesThe Business Risk Integrated Control (BRIC) team is missioned to: Protect TikTok users, including and beyond content consumers, creators, advertisers; Secure platform health and community experience authenticity; Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders.The BRIC team works to minimize the damage of inauthentic behaviors on TikTok platforms (e.g. TikTok, CapCut, Resso, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc.In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.Internships At TikTok Aim To Provide Students With Hands-on Experience In Developing Fundamental Skills And Exploring Potential Career Paths. A Vibrant Blend Of Social Events And Enriching Development Workshops Will Be Available For You To Explore. Here, You Will Utilize Your Knowledge In Real-world Scenarios While Laying a Strong Foundation For Personal And Professional Growth. This Internship Program Runs For 12 Weeks Beginning In May/June 2025. Successful Candidates Must Be Able To Commit To One Of The Following Summer Internship Start Dates Below:Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.Online Assessment (Only for RD)Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.Responsibilities Responsible for the research and development of algorithms for AI native applications and optimization of LLM (Large Language Models), driving the exploration and application of cutting-edge technologies. Enhance the capabilities of natural language understanding based on LLM, such as content understanding/classification, vector retrieval, structuring, and representation learning of short/long texts. Combine the most advanced LLM technology to summarize, understand, and classify user behavior/features. Explore the application of Agent in complex tasks and achieve the application of complex tasks in the risk control field based on LLM.QualificationsMinimum Qualifications: Currently pursuing a PhD in Computer Science, Computer Engineering, Math, Statistics or a related technical discipline Able to commit to working for 12 weeks during Summer 2025; Good coding standards, a passion for writing code, and the ability to produce high-quality designs and code. Excellent problem analysis and problem-solving abilities, capable of identifying the essence of issues from complex data. Experience in algorithmic research and development of mainstream risk control strategies and LLM systems development experience is a plus. Strong sense of responsibility, proactive attitude, and good communication and teamwork skills.Preferred Qualifications: Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship. Priority will be given to those who master the algorithm principles of LLM (Large Language Models), Fine-tuning, Prompt Engineering, vector databases, and Agent application frameworks such as LangChain/Autogen; familiarity with the latest LLM technologies and experience in training or applying them is a plus.Job InformationAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an ""Always Day 1"" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok AccommodationTikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request",Internship,Machine Learning Engineer Intern (LLM Risk Surface) - 2025 Summer (PhD )
+981,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+982,2025-04-09,Camarillo,CA,Semtech,https://www.semtech.com,"Semtech Corporation is a high-performance semiconductor, IoT systems and Cloud connectivity service provider dedicated to delivering high quality technology solutions that enable a smarter, more connected and sustainable planet.","Location: US RemoteJob SummaryWe are seeking a talented and innovative HR Artificial Intelligence / Data Scientist Intern who is currently in their Junior or Senior year of college. This internship provides a unique opportunity to apply AI and data science principles to human resources challenges. You will collaborate with our HR Analytics team to develop AI-driven solutions that enhance employee experience, optimize HR processes, and deliver data-driven insights that support strategic decision-making across the organization.ResponsibilitiesAI Tool Implementation: Assist in implementing and optimizing AI tools such as Claude for Enterprise or ChatGPT for various HR functions. Develop and refine prompts to enhance efficiency and accuracy of AI-generated content for HR communications, policies, and documentation. Data Analysis & Visualization: Collect, clean, and analyze large HR datasets from various sources. Create compelling visualizations and dashboards that communicate insights effectively to stakeholders at all levels of the organization. Compensation Analytics: Support the analysis of compensation data to identify trends, gaps, and opportunities. Assist in developing data models to ensure fair and competitive compensation practices across the organization. Total Compensation Statements: Design and develop user-friendly total compensation statements utilizing AI and data visualization tools. Enhance the employee experience by creating personalized, easy-to-understand compensation communications. Process Automation: Identify opportunities to automate routine HR processes using AI and machine learning techniques. Develop and test solutions that increase efficiency and reduce manual workload for HR professionals. HR Metrics & Reporting: Support the development and maintenance of HR metrics and KPIs. Create regular reports that track organizational health, talent acquisition effectiveness, retention, and other critical people metrics. Research & Innovation: Stay current on emerging AI technologies and best practices in HR analytics. Research and propose innovative applications of AI and data science to solve complex HR challenges. Minimum QualificationsCurrently a Junior or Senior in College (pursuing a degree in Data Science, Computer Science, Information Systems, HR Analytics, or related field). Demonstrated experience using AI tools such as Claude for Enterprise or ChatGPT, including prompt engineering and optimization. Strong proficiency in data analysis tools (e.g., Excel, etc). Experience working with large datasets and ability to derive meaningful insights from complex information. Excellent analytical and problem-solving skills with attention to detail and accuracy. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Commitment to data privacy and confidentiality when handling sensitive employee information. Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams. Desired QualificationsKnowledge of HR processes, metrics, and best practices. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with HR software systems (e.g., Workday, SuccessFactors). Coursework or projects in machine learning, natural language processing, or predictive analytics. Advanced statistical knowledge and experience applying statistical methods to real-world problems. Understanding of ethical considerations in AI and data science, particularly as they relate to HR applications. The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform job-related tasks other than those specifically included in this description.All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.A reasonable estimate of the pay range for this position is $21 - $27. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as job location and the value of other elements of an employee's total compensation package.",Internship,Artificial Intelligence / Data Scientist Intern (HR)
+983,2025-04-01,Palo Alto,,BitGo,http://bitgo.com,"BitGo is the leading infrastructure provider of digital asset solutions, offering custody, wallets, staking, trading, financing and settlement out of regulated cold storage. Founded in 2013, BitGo is the first digital asset company to focus exclusively on serving institutional clients. 
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+BitGo is dedicated to advancing a digital financial services economy that is borderless and accessible 24/7. With multiple Trust companies around the world, BitGo is the preferred security and operational backbone for more than 1,500 institutional clients in 50 countries, including many of the world’s top brands, cryptocurrency exchanges and platforms. BitGo also secures approximately 8% of all on-chain Bitcoin transactions by value and is the largest independent digital asset custodian. For more information, please visit www.bitgo.com.
+","BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.This role will require being full-time onsite at our San Francisco office to support collaborative team dynamics and innovative problem-solving.BitGo is looking for a Software Engineer to join our Onboarding team and help us build an API-first platform for businesses and developers to launch crypto products.Responsibilities:Design and build scalable, well abstracted, and robust APIs, libraries, and services to empower our API-first platformOwn functionality and scalability features by taking responsibility from inception to deployment and customer integrationExpose and document functionality to the UI, third-party developers, and our internal and external toolingCollaborate with cross-functional teams to define, design, and ship new featuresWrite clean, maintainable, and efficient codeEnsure the performance, quality, and responsiveness of applicationsIdentify and correct bottlenecks and fix bugsContinuously discover, evaluate, and implement new technologies to maximize development efficiencyParticipate in code reviews and contribute to a culture of continuous improvementWork closely with product managers, designers, and other engineers to understand and refine product requirementsProvide mentorship to your peers in the broader engineering team through code reviews and education on best practicesSkills & Experience: We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.RequiredAt least 3+ years of proven experience of back-end and server-side developmentGreat at algorithm design, problem solving, and complexity analysisStrong experience with of TypeScript, Node.js and ExpressStrong experience with Node.js, TypeScript, PostgreSQL and MongoDBStrong experience with RESTful API designExperience with microservices and service-oriented architecturesExperience with unit and functional testing and debuggingExperience in Git/GitHub and branching methodologies, code review tools, CI tools, etc.Ability to move quickly and adjust course as needed in a fast-paced environmentBachelor’s degree in computer science, applied mathematics, or another technical discipline from a top universityUnderstanding of and strong interest in cryptocurrencies and blockchainPreferredExperience developing consumer-facing crypto productsProven experience building public-facing APIs in a production environmentAbility to work full-stack and familiarity with React Experience working with clients and/or business partnersFamiliarity with any of the following: digital wallets, clearing and settlement, lending, trading, accounting systems, etcWhy Join BitGo?Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.Pay Transparency Notice: Depending upon your leveling and location, the compensation for this role averages between $150,000 - $180,000 USD base salary. Equity, an annual performance bonus and the benefits outlined below are also a part of this role's package.Here are some of the benefits* of working at BitGo:Competitive base salary, bonus and stock options100% company paid health insurance for employee, partner and dependentsUp to 4% 401k company matchPaid parental leave, Paid vacationFree custom lunches, dinners and snacks Computer equipment and workplace furniture to suit your needsGreat colleagues and inspiring startup environmentBenefits may vary based on locationCryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you’ll be able to look back and say you were part of the team that transformed investing.",Mid-Senior level,Software Engineer - Onboarding
+984,2025-04-03,Rothschild,Wisconsin,Foundation Finance Company Careers,https://careers.foundationfinance.com/,"Foundation Finance is one of the fastest-growing consumer finance companies in the nation. The company was founded in 2012 and has grown every year since. Certified as a Great Place to Work since 2017. When you begin your career at Foundation Finance, you join a close-knit, fun-loving group! Whether you work from the home office in Wisconsin or remotely from around the country, you’ll enjoy exciting activities and events that promote a feeling of unity among all employees. ","Machine Learning Engineer Description & Duties:The Machine Learning Engineer collaborates with the Data and ML Infrastructure team to deliver machine learning models to increase profitability by reducing Underwriting risk and creating operational efficiencies. This role creates new machine learning processes and evaluates existing ones, performs statistical analysis to resolve data set problems, and enhances the accuracy of predictive automation capabilities.Full-time | Remote* | USD $110,000.00 - USD $130,000.00 /Yr.Responsibilities:Essential Duties and Responsibilities include the following. Other duties may be assigned.Design machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.Ensure that algorithms generate accurate underwriting and user recommendations.Acquire, analyze, combine, synthesize, and structure data with clear definitions and sources for analytical consumption.Ensure that all models and processes comply with relevant regulations, data privacy, and security standards.Document machine learning processes, keeping policies and procedures up to date.Develop data products using continuous deployment and integration practices.Analyze, design, develop, deploy, and support data analytics products utilizing engineering best practices.Participate in agile story authoring, sizing, and demo sessions for product features.Develop reliable data pipelines that transform and aggregate data from source systems and data platforms.Establish and maintain ML platforms, develop ML model monitoring pipelines for model performance, data quality, and data drift - working closely with Decision Science, IT, and enterprise infrastructure teams, to enable automation and monitoring across the machine learning lifecycle.Other duties as assigned by management.Minimum Qualifications:Bachelor's degree in computer science, data science, mathematics, or a related field; Master’s degree or higher preferred.Minimum 1 year of professional experience in data acquisition, cleansing, feature engineering, debugging and software documentation, using programming languages, and using cloud platforms such as AWS, Azure, or GCP is required.To perform this job successfully, an individual should have knowledge of Word Processing software; Spreadsheet software; Development software and Design software.Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents.Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.Ability to effectively present information to top management, public groups, and/or boards of directors.*Remote Work: Foundation Finance Company LLC requires that remote employees must reside in one of the following states to be considered for any of our remote positions: AL, AR, AZ, CO, CT, FL, GA, IL, IN, KY, LA, MD, ME, MI, MN, MO, MS, NC, NJ, NV, NY, OH, OK, OR, SC, TN, TX, UT, VA, WA, and WI.About Foundation Finance:Foundation Finance Company (FFC) is one of the fastest-growing consumer finance companies in the U.S. We work with home improvement contractors nationwide to help them close more sales through the use of flexible financing plans. FFC's full-spectrum lending approach has driven billions in originations and helped many customers make needed improvements to their homes. We're making big investments in both infrastructure and employee talent to keep up with our growth, so the time is right to join our team! It's a fast-paced environment with room to advance. We offer a competitive salary, medical/dental/vision benefits, 401(k) with company match, a casual dress work environment and much, much, more.Working Conditions: Office environment with significant time spent sitting, typing and talking on the telephone.Foundation Finance Company provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.If you reside in the state of Colorado, please click on the following link to review our benefits: Foundation Finance BenefitsThese benefits are designed to support our employees in their professional growth, health, and overall well-being. Eligibility, coverage details, and enrollment processes will be provided during the onboarding process. At Foundation Finance Company, we are committed to fostering a positive work environment where employees can thrive both personally and professionally.",Mid-Senior level,Machine Learning Engineer
+985,2025-04-01,Dublin,CA,"iTradeNetwork, Inc.",http://www.itradenetwork.com,"iTradeNetwork is a leading supply chain management platform for the food and beverage industry, enhancing efficiency, visibility, and collaboration. We offer solutions for procurement, food safety, transportation, spend management, and data services. Our platforms helps retailers, growers, manufacturers, operators, and distributors streamline operations, ensure compliance, and optimize costs.
+
+With over 2,500 trading partners and $50 billion in annual transactions, iTradeNetwork is a key player in the perishables supply chain.","About iTradeNetworkAt iTradeNetwork, we provide advanced supply chain software and insights tailored to the food & beverage industry. Our mission is clear and ambitious: To feed the world. From the start, we’ve been dedicated to tackling the most pressing challenges within food and beverage supply chains, delivering innovative solutions and expert support that make a measurable impact.Our cutting-edge technology helps businesses streamline complex procurement and fulfillment processes, minimize food waste, optimize inventory, manage compliance risk, and scale profitably. We’re proud to serve an elite customer base, including 13 of the top 25 North American grocers, 8 of the top 10 foodservice distributors, and 8 of the top 10 global food and beverage manufacturers.JOB SUMMARYAre you a machine learning enthusiast who thrives on transforming data into impactful insights? Do you dream in algorithms, data pipelines, and model architectures? We’re looking for a Machine Learning Full Stack Developer who is a true builder—someone who can roll up their sleeves, design, develop, and deploy scalable ML solutions. This isn’t just another job; it’s an opportunity to be part of a team that is shaping the next generation of AI-driven products that will directly drive growth.Key Responsibilities:Build the Future: Design, develop, and deploy end-to-end machine learning systems optimized for performance, scalability, and rapid deployment.AI-First Development: Leverage AI tools (GitHub Copilot, Cursor AI, ChatGPT, Otter AI) to enhance code efficiency, refactoring, debugging, and documentation.Rapid Prototyping: Rapidly prototype and deploy ML models and full-stack applications using AI-assisted development tools.ML & Data Pipelines: Build and optimize data pipelines for efficient ingestion, transformation, and analysis.LLM Integration: Implement and fine-tune large language models (LLMs) like GPT, BERT, and integrate them seamlessly into production systems.MLOps Excellence: Design, develop, and implement CI/CD pipelines for continuous deployment and monitoring of machine learning models.Cloud-Native Development: Build and maintain cloud-native ML applications on platforms like GCP, AWS, or Azure.Collaboration: Work closely with product managers, data scientists, and engineers to translate business requirements into scalable ML solutions.Solve Complex Problems: Tackle technical challenges, from optimizing algorithms to deploying real-time machine learning systems.Tech Stack:Languages: Python, JavaML Frameworks: TensorFlow, PyTorch, Scikit-learnDatabases: BigQuery, PostgreSQL, Redis, MongoDBCloud & DevOps: Kubernetes, Docker, Terraform, GCP, AWSMLOps Tools: MLflow, Kubeflow, AirflowAI Tools: GitHub Copilot, Cursor AI, Otter AI, ChatGPTNLP & LLMs: GPT, BERT, Transformer architecturesCI/CD & Automation: GitHub Actions, JenkinsWhat You Bring:Bachelor’s degree in Computer Science, Engineering, or just equivalent hands-on experience with no degree!5+ years of hands-on experience in machine learning and full stack development, with at least 3+ years in data science and 3+ years in ML engineering.Proven ability to develop and deploy ML models with minimal requirements.Strong coding ability demonstrated via a HackerRank assessment (preferred HackerRank Gold Badge).Expertise in Python and Java for building production-grade ML systems.Strong experience with cloud platforms like GCP, AWS, or Azure.Deep understanding of MLOps best practices, including CI/CD pipelines and model monitoring.Ability to quickly understand and implement complex data models and algorithms.Strong problem-solving, analytical thinking, and debugging skills.Excellent communication and collaboration abilities.Why you will love working here:Competitive salary packagesComprehensive medical, dental, vision, and life insurance benefits for you and your familyFlex PTO for exempt employees and competitive PTO for non-exemptPaid parental leave for eligible employees401(k) matchingTuition reimbursement on approved programsGreat health & well-being benefits including Teladoc for general medical and mental health careThese benefits are only applicable to full-time employeesThis is a hybrid position, candidates must be located in the Bay Area, CA; Charlotte, NC; Denver, Colorado; and Atlanta, Georgia unless listed otherwiseAdditional Requirements:Must be able to demonstrate lawful ability to work in the United StatesiTradeNetwork, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran by applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability",Mid-Senior level,Machine Learning Engineer
+986,2025-03-31,Bethesda,MD,Lockheed Martin,https://www.lockheedmartin.com,"The world relies on what we do. 
+
+Headquartered in Bethesda, Maryland, with offices across the U.S. and around the globe, our team delivers solutions that strengthen national security, shape industries and push engineering  and technology to new levels. We collaborate to win. We put our customers first. And we perform with excellence.
+
+The best careers are built at Lockheed Martin. Join us.","Basic QualificationsTo excel in this role, you should possess the following qualifications and attributes: BS in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering or equivalent STEM field and at least 4+ year of related experience. Development, integration, troubleshooting experience with the Linux/Unix Operating System. Experience in software development, integration, troubleshooting using C or C++ or Java or Python Experience developing scripts using Bash or Python. Experience with software configuration technologies, such as YAML, XML, JSON.Job Code/TitleE1073:Software Engineer SrJob DescriptionWho we areLockheed Martin is a global leader in aerospace, defense, and technology solutions. Our Manassas campus is a thriving center of engineering expertise, fostering a culture that encourages creativity, excellence, and the creation of exceptional products. Our team is made up of dedicated professionals who are passionate about pushing the boundaries of what's possible.What We’re DoingAt Lockheed Martin, we're at the forefront of cutting-edge technology and innovation. Our campus in Manassas, Virginia is a hub for engineering excellence, where we tackle some of the world's most challenging engineering problems. We pride ourselves on our culture of creativity, excellence, and product innovation.The WorkLockheed Martin Rotary & Mission Systems is seeking a full-time Software Engineer. In this role, you will perform software development tasks supporting Navy programs. The successful candidate will have experience and knowledge of coding in Java/C++ on a Linux Operating System.This position is located at a facility that requires special access. The selected candidate will be required to hold an active government Secret security clearance.Why Join UsYour Health, Your Wealth, Your LifeJoining Lockheed Martin Means Becoming Part Of a Team That's Making a Significant Impact In The Field Of Engineering. When You Choose To Work With Us, You'll EnjoyAn excellent working environment equipped with state-of-the-art tools.The opportunity to work alongside industry leaders and top-notch professionals.A chance to be a part of solving some of the world's most challenging engineering problems.A culture that encourages creativity, excellence, and the development of remarkable products.If you're ready to take your career to the next level, work on groundbreaking projects, and be a part of a team that thrives on innovation, we encourage you to apply and be a part of our mission.Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.Learn more about Lockheed Martin’s competitive and comprehensive benefits package.#WeAreLM#WherethebestareBuilt#OneLMHotJobs#RMSC6ISR#rmsuswDesired Skills Basic understanding of Agile Full software life-cycle development. Experience with infrastructure as code (IaC) concepts and technologies Desire to integrate, test and troubleshoot and refactor software systems. Experience with software build tools, such as Jinkins, Gitlab, etc. Experience with Model Based Engineering. Experience with containerization technologies such as Podman or Docker as well as AWS or Kubernetes.Other Important InformationBy applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Ability to work remotelyOnsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.Select the Telework classification for this positionEmployee will work on-site full-timeAbility to TelecommuteNo telecommutingShiftFirstWork Schedule InformationLockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.Work Schedule4x10 hour day, 3 days off per weekSecurity Clearance InformationThis position requires a government security clearance, you must be a US Citizen for consideration.Security ClearanceSecretLMCareers Business UnitRMSProgramARCI and IRADDepartmentXECTQA:USW Sonar & System ProductsJob ClassSoftware EngineeringJob CategoryExperienced ProfessionalCity, StateManassas-VACityManassasZip20110VirtualnoRelocation/Housing Stipend AvailableYesReq TypeFull-TimeDirect/IndirectDirect At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.EEOLockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.National Pay StatementPay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, Washington or Washington DC is $89,300 - $157,550. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.This position is incentive plan eligible.Premium Pay StatementPay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $102,800 - $178,135. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.This position is incentive plan eligible.",Mid-Senior level,Software Engineer
+987,2025-03-28,Bentonville,Arkansas,Walmart Global Tech,http://tech.walmart.com,"Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.1 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.","International Recommendations platform is a multi-tenant framework that powers the personalization experiences for Mexico, Canada, and other Walmart International sites. The team drives innovation in Machine Learning to provide personalized results for our customers and drive business KPIs.As a Staff Software Engineer, you’ll spend your days translating requirements into solutions, writing code, collaborating with teams, and providing us with the insights necessary to think beyond the status quo. You’ll oversee small project teams consisting of other engineers who will look to you as a trusted advisor, a subject matter expert who provides guidance and the right tools.“Immigration sponsorship is not available in this role.”About Team: Focusing on customer, associate and business needs, this team works with Walmart International, which includes more than 5,200 retail units, operating in 23 countries such as Canada, Central America, Chile, China, India, Mexico and South Africa to name a few.What you'll do:Design scalable, low-latency services to host models; productionize prototypes on the cloud, including data pipelines, training & inference pipelines, and pre & post-processing routines.Build, tune, and optimize machine learning models; collaborate with data scientists to refine data models, design improvements, conduct experiments, and iteratively improve results.Develop and optimize data pipelines to collect, consolidate, and normalize data to feed to machine learning models for offline evaluation and real-time execution.Create monitoring dashboards; perform latency tuning of deep learning models, scaling solutions to enterprise level; investigate and resolve performance issues.Run experiments to compare models, features, and hyperparameters; utilize A/B testing and continuous monitoring to validate and adjust models.Utilize the broad and deep knowledge of ML and Software Engineering to contribute to the roadmap of Walmart’s core machine learning capabilities.Work closely with our product, design, and UX teams to create amazing and intuitive experiences that make it effortless to connect different apps together.Help put tools, processes, and documentation in place to improve our code quality.Demonstrate technical expertise in solving challenging programming and design problems.Troubleshoots business and production issues by gathering information (for example, issue, impact, criticality); performing root cause analysis to reduce future issues; engaging support teams when needed; developing solutions; driving the development of an action plan; performing actions as designated in the plan; and completing online documentation.Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.Possess excellent communication skills to be able to communicate with peers and stakeholders.Enjoy spending your day writing & reviewing code and also lead design discussions.What you'll bring:Bachelor's Degree in Computer Science or related field and 10 years of experience in software engineering or Master's Degree in Computer Science or related field and 5 years of experience in software engineering4+ years of proven work experience in designing and Architecting cloud native, distributed, high performant and scalable microservices.4 years of experience with database languages (SQL, PL/SQL, PG-PL/SQL), version control (Git), data structures and algorithms4 years of experience in writing production quality software with Python; knowledge of Unit testing in Python, Mocking, Pytest.4 years of experience in architecting ML solutions given an abstract business problem3 years of experience with MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions on the cloud3 years of experience building training and inference pipelinesHands on experience with building data pipeline with Spark, Hadoop, Redshift and/or HiveExperience with Kubernetes, Helm, microservice architecture and design, and best practices around multithreading, networking, offline storage, and performance tuningA disciplined approach to development, code review, testing, documentation, and code structure in a team environment.Design/Architecting Applications in No-SQL database such Cassandra, and Azure Cosmos DB.Utilize Industry Research and Innovation to build Next Generation systems to Improve Walmart Technology Environment.Experience with GCP and Airflow is a plus.Prefer experience with building Machine Learning models and pipelines related to personalization.About Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.Flexible, hybrid work:We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.Benefits:Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer:Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing belonging- unique styles, experiences, ideas and opinions.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.",Mid-Senior level,Staff Software Engineer- ML Ops
+988,2025-04-01,San Francisco,California,Tecton,https://tecton.ai,"Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready AI data platform to help companies activate their data for AI applications. 
+
+AI creates new opportunities to generate more value than ever before from data. Companies can now build AI-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes. 
+
+But AI models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage AI data. Most companies don’t have access to the advanced AI data infrastructure that is used by the Internet giants. So AI teams spend the majority of their time building bespoke data pipelines, and most models never make it to production.
+
+We believe that companies need a new kind of data platform built for the unique requirements of AI. Tecton enables AI teams to easily and reliably compute, manage, and retrieve data for both generative AI and predictive ML applications. Our platform delivers features, embeddings, and prompts as rich, unified context, abstracting away the complex engineering involved in data preparation for AI. With Tecton, companies can:
+
+1. Productionize context faster, getting new models to production 80% faster
+2. Build more accurate models through rapid data experimentation and 100% accurate context serving
+3. Drive down production costs by turning expensive workloads into highly efficient data services
+
+We believe that by getting the data layer for AI right, companies can get better models to production faster, driving real business outcomes. Tecton enables organizations to harness the full potential of their data, creating AI applications that are contextually aware and truly intelligent.","Tecton helps companies unlock the full potential of their data for AI applications. The platform streamlines the complex process of preparing and delivering data to models. With Tecton, AI teams accelerate the development of smarter, more impactful AI applications.Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.We are building Rift ( talk , blog post ) - a new fully managed compute environment that allows data scientists to construct powerful batch and streaming pipelines in Python. Our new environment leverages popular open-source technologies such as Ray, Arrow, and DuckDB. We also have deep integrations with Spark platforms (Databricks, EMR, Dataproc) and data warehouses (e.g. Snowflake, BigQuery, RedShift), along with performant training data pipelines and a workload orchestration platform.As a senior engineer on the Batch Data team, you’ll play a critical role in architecting, designing, and scaling the core compute engines and storage architecture used by every Tecton customer. You'll contribute to the performance of our query optimizer, from parsing & optimization to plan selection. Think of this team as the “beating heart” of Tecton.This role is a unique opportunity that combines customer-obsessed product focus with platform and data engineering innovation and helps companies accelerate their path to real-time AI. You will be working in one or more of the following areas to build the next generation of Tecton infrastructure: Distributed compute and resource management Query optimization and distributed execution Cross-platform integrations with state-of-the-art data platformsThis position is open to candidates based near our hubs in San Francisco, New York City, and Seattle.ResponsibilitiesOwn and lead significant technical domains starting from the problem definition and technical requirements to implementation and maintenanceLead projects of strategic importance to Tecton spanning cross-functional teams including product management and other engineering teamsDrive efforts to improve engineering practices, tooling, and processes along with mentorship for junior engineersDevelop a deep understanding of the fundamental problems our customers face in building ML systemsBe a generalist as needed. We’re a small, but growing engineering team and each engineer needs to be versatileQualificationsExperience working in large Python, Java, Kotlin, or Go codebases and running cloud-native Spark systems (e.g. AWS EMR, Databricks, GCP Dataproc)Experience in performance tuning of Spark, Ray, Maestro, or Airflow jobsKnowledge of data formats such as Parquet, Avro, Arrow, Iceberg, or Delta Lake and object storage (e.g. S3, GCS)Expertise with cloud-scale query performance, query optimization, query planning, heuristic query execution techniques, and cost-driven optimizationsExperience with internals of distributed systems, SQL/NoSQL databases, data lakes, or data warehousesStrong communication skills and ability to write detailed technical specificationsExcitement about coaching and mentorship of junior engineersBSc, MS, or PhD in Computer Science or related fields8+ years of experience in building product software systems$197,000 - $237,000 a yearThe estimated US base salary range for this position is $197,000 - $237,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.Tecton is a remote-friendly company that employs a hybrid working policy for employees based in the SF, NY, and Seattle areas. We believe that working in-person helps us stay connected, collaborate faster, and promote a strong culture while still providing the flexibility of working from home. We expect SF & NY employees to be in the office at least two designated days per week, and those in the Seattle area at least two designated days per month..Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.",Mid-Senior level,"Software Engineer, Batch Data"
+989,2025-04-09,New York City,,222,https://222.place,"https://222.place/careers
+
+this is not a dating app.
+this is not a friend-making service.
+this is not networking.
+this is not mindless scrolling.
+this is not random.
+this is not the metaverse.
+this is not a distraction.
+
+no profiles, no DMs, no scrolling, no swiping.
+
+just say ""yes"" & explore the chance encounters you'd have never experienced.
+
+choose chance.","About 222:We’re an early-stage startup working on building the future of social. We are not excited about a future where humans spend the majority of their day in a virtual world. By facilitating genuine human connections IRL, we're building a product that swings the pendulum in the other direction. We’re building the world’s first IRL social prediction model - trained on hundreds of thousands of points of unique human to human interaction data.We’re backed by a word-class set of investors including General Catalyst, Y Combinator (W23), Upfront Ventures, NEA, Jaegermeister, 1517 Fund, Cory Levy (Z Fellows), the Founder of Dropbox (Arash Ferdowsi), the Founder of On Deck (Julian Weisser) & more.What You'll Be Doing At 222:You will be joining 222 as the first ML-focused engineering hire - spearheading all things machine learning, data processing & pipelining, feature engineering, & data analysis.You Should Only Apply If:You’re passionate about solving the problem 222 is tackling and excited to use classic machine learning & LLMs to predict humans' social behaviorYou have experience fine-tuning an LLMYou have experience working with and building ETL pipelines and preparing data for experimentationYou're comfortable building ML/data infrastructure and pipelines for experimentation, training, and deploymentYou have trained applied ML models that are used in productionYou have a strong stance on the ethics surrounding user psychology in social productsRegardless of personal experience, you’re excited about wearing different hats across machine learning, full-stack engineering, & architectureDemonstrated history of building outside of work/school (projects/products, applications, music, art, etc.)You have experience in:Backend Development: Python (Flask/FastAPI), PostgreSQLFrontend Web Development: React/Next.js, HTML, CSS, JavaScript, Node.jsDesigning backend algorithmsYou Should NOT Apply If:You don't have experience building web apps with React/Next.JsYou don't have experience with backend development using PythonYou don't have experience with backend algorithm design.We are looking for:🖌️ full-stack engineer with extensive web and backend algorithms design experience🧠 first principles thinking🏗️ history of building things from scratch🙇‍♂️ strongly opinionated about our current social fabric and its futureWhat we are offering:🏦 401K matching💸 competitive salary + equity🎲 fully comped 222 experiences🧑‍⚕️ platinum PPO, 100% covered by the company, $0 annual deductible📈 a chance to join an early-stage startup backed by an incredible set of investors🖥️ the opportunity to work IRL with a tight-knit team of co-workers and friend",Not Applicable,Machine Learning Engineer
+990,2025-03-19,Toronto,Ontario,BioRender,http://www.biorender.com,"BioRender is revolutionizing how science is communicated, one graphic at a time (you can think of us as the Adobe or Canva for science!). We're on a mission to accelerate science by empowering all scientists to quickly and easily communicate their research.
+
+We are a team of passionate scientists, engineers, science illustrators, designers and entrepreneurs backed by an incredible group of investors, including YCombinator. 
+
+We nerd out on cool science stuff and solving big problems. We work really hard and sweat the details to deliver a high impact product that our users love.","At BioRender, we are accelerating the world’s ability to discover, learn, and communicate science faster through visuals. Today, BioRender empowers millions of scientists to create beautiful, accurate biological figures for communication within pharma companies and academic research.Our vision is to make BioRender the place where humans read biology—translating human and AI-generated data into scientifically accurate, human-understandable visuals. As AI automates large parts of research, BioRender will transform complex data, experimental results, and text inputs into clear, intuitive visuals that scientists, decision-makers, and broader audiences can quickly interpret. Visual communication will be critical to accelerating breakthroughs across academia and industry, and BioRender will bridge the gap between specialized knowledge domains.Our Machine Learning Team is at the forefront of this vision, automating figure generation from diverse user inputs like experimental protocols and research publications, and producing scientifically accurate, editable visuals using our library of icons and templates. We’re looking for a Machine Learning Engineer who is excited to tackle hard, unsolved problems that go beyond off-the-shelf capabilities.What You'll Be DoingCombine computer vision and code generation: Develop structured, editable visuals (e.g., SVG/JSON) that accurately represent scientific concepts.Create story-driven scientific visuals: Design models that capture the appropriate level of detail, layout, and structure to effectively communicate complex biological concepts.Leverage scientific understanding: Build technology that understands the nuances of biological research to produce scientifically accurate visuals.Enable chat-driven figure editing: Implement intuitive, natural language-based editing of visuals while preserving their scientific integrity.Our Ideal Fit BringsDeep technical expertise in machine learningA passion for solving novel challengesAn enthusiasm for helping scientists communicate groundbreaking research faster and more effectivelyNice To HavesScientific and research backgroundWhy join us?We are mission-driven: we work collaboratively towards our shared vision of improving scientific communication and accelerating scientific discovery. BioRender figures have appeared in more than 54,000 publications! BioRender is loved by millions! We have a world-class NPS and a community of loyal fans and users in 200+ countries!Our company is backed by top investors and accelerators like Y Combinator, and we are on a growth trajectory comparable to many top-performing SaaS companies We’re remote-first with team members across Canada and the U.S., offering you the flexibility to work from anywhere. BioRender is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.",Entry level,Machine Learning Engineer
+991,2025-04-01,Los Angeles,California,TikTok,https://www.tiktok.com/about?lang=en,"TikTok is the world's leading destination for short-form video. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
+ 
+Our employees lead with curiosity, and move at the speed of culture. Combined with our company's flat structure, you'll be given dynamic opportunities to make a real impact on a rapidly expanding company as you grow your career. We have offices across Asia Pacific, the Middle East, Europe, and the Americas – and we're just getting started.","ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About The TeamOur team is responsible for developing next-generation chatbot and machine translation solutions to improve the TikTok Shopping experience across the world. We are currently looking for talented engineers that have a deep understanding of natural language processing and machine learning, especially ones with solid skills and experience of large language models, machine translation, and conversational AI.We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2025.We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities You will be responsible for developing and optimizing the intelligent customer service of TikTok shopping. This role will work closely with our product and operation teams to understand the intentions of our users, design solutions of experience excellence, and convey these solutions to our users conversationally, with the support of cutting-edge LLMs technology. You will have the chance to develop NLP models (like text classification, machine reading, summarization) and prediction models (like question prediction and chatbot action prediction) to achieve the above goals. You will be responsible for developing and optimizing the machine translation service of TikTok shopping to better support cross-region product listing, buyer-seller communication, and commenting. You will have the chance to develop machine translation models for the conversational environment and text generation models from multi-modality inputs. You will be responsible for developing and optimizing the multi-modal AIGC model for product copywriting, including product title, selling points, description and live broadcast script creation etc. You will have the chance to apply cutting edge AIGC models to save human effort and improve business performance.About The JobResponsible for the NLP-related research and development, mainly including: Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model. Building the prediction model by mapping the shopping journey of our users to chatbot actions, including suggesting common question-answers and transferring the user to human agent, with cutting-edge prediction models (like Boosting, deep CTR). Building the generation model by understanding business requests, exploring proper instructions, developing high-quality data, and finetuning a language model of billions of parameters (e.g., 13B, 60B). Working closely with our product and operation teams to quantitatively understand the impact of our chatbot and continuously bridge the business improvement action to model optimization action.QualificationsMinimum QualificatioCurrently pursuing PhD degree with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines. Large language models, natural language generation, machine translation, question answering, machine reading, information extraction, text mining and classification etc. Work experience in e-commerce or the Internet industry is preferred. Practical experience in NLP (dialogue system, machine translation, nlp-related projects in IR/Ads system, etc.) are preferred. Familiar with at least one computer programming language, including but not limited to go/python/Java. Experience of big data development, including but not limited to hive, spark Candidates who have published high-quality papers are preferred, including but not limited to ACL, EMNLP, COLING, AAAI, IEEE TASLP, etc.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $118750 - $156750 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.",Entry level,Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI) - 2025 Start (PhD)
+992,2025-04-03,Menlo Park,CA,Meta,https://www.metacareers.com/,"Meta's mission is to build the future of human connection and the technology that makes it possible. 
+
+Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
+
+To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
+
+• Start with an open mind. Whether you agree or disagree, engage with empathy.
+• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
+• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
+• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
+• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
+
+For a full listing of our jobs, visit https://www.metacareers.com
+","Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As Computer Vision Software Engineer on the Reality Labs team at Meta, you can help build new, innovative software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer.Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on computer vision related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.Software Engineer, Computer Vision - Reality Labs Responsibilities:Apply relevant AI and machine learning techniques to build intelligent rich visual systems that improve Meta's products and experiencesConsistently and sustainably advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframesEffectively define projects for other engineers to possibly solve and achieve impact based on your directionDevelop novel, accurate AI algorithms and advanced systems for large scale applicationsUnderstand why some signals and model configurations work while others don't and drive more gain from these findingsDefine use cases and develop methodology and benchmarks to evaluate different approachesMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or PythonExperience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligencePreferred Qualifications:Experience with distributed systems or on-device algorithm developmentExperience in deep learning and PyTorchExperience contributing to AI PublicationsAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.$70.67/hour to $208,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.",Not Applicable,"Software Engineer, Computer Vision - Reality Labs"
+993,2025-04-01,Houston,Texas,The Lab Consulting,http://www.thelabconsulting.com,"The Lab is a management consulting firm that helps executive project sponsors realize sustainable and transformative process and financial benefits for their businesses by implementing standardization-based improvement and automation. 
+
+The Lab’s patented methods help simplify, standardize, and automate everything:
+Products and Services....Increase consistency at the regional, national, and global level.
+Business Processes.......Create employee-friendly operations that retain talent.
+KPIs & Data.....................Identify the ""Super KPIs"" that grow your business.
+Digital Automation.........Find and implement the most valuable automation use-cases quickly.
+
+For almost 3 decades, The Lab has successfully implemented initiatives with medium, large, and Fortune 1000 clients that deliver consistent, sustainable benefits.
+
+Contact us: 
+info@thelabconsulting.com ","We are a mid-sized Management Consulting, Automation, and Data/Process Science firm, established in 1993, serving Fortune 1000 companies throughout North America. We have developed a unique, template-based and data-centric approach to our client projects, which are conducted off-site from our Houston office. The Lab is proud to announce we have invested in a new office build out in the Galleria area. We are mindful of employee experience and currently operate at 50% capacity in the office.We are seeking a data scientist who is passionate about business processes, automation, operational data measurement, and the intellectual challenge analyzing them offers. The person we seek has previous experience in successful data science roles, performing strategic analysis and, or, operations improvement projects. The data scientist will be part of a management consulting and data science team that performs analysis on client data and assists with the development, implementation and integration of pioneering solutions using different methods, techniques and tools. You will ensure the rigor and underlying logic of the team's findings, optimize the analytical storyline and develop superior, easy to comprehend documentation operational analysis.The data scientist will be responsible for gathering, analyzing and documenting business processes, developing business cases, developing analytics dashboards and providing domain knowledge to the team. The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.Simultaneously, you will help senior management further standardize the consulting tasks and related work product with the objectives of: reducing analytical cycle time, lowering labor costs and reducing document rework and editing. As you become more familiar with our product offering, you will also contribute to the refinement and extension of our findings and tools database/website which includes benchmarks, best practices and thousands of business process maps.ResponsibilitiesInterface with clients to gather operational data for analysisAnalyze raw data from consulting client projects across multiple industries: assessing quality, cleansing, structuring for downstream processingDesign accurate and scalable prediction algorithmsCollaborate with team to bring analytical prototypes to productionGenerate actionable insights for business improvementsWork alongside clients and internal team members to develop interactive, customer-facing business dashboardsWork with internal team members to develop methods to transform data to prepare for analysis and reportingManage the structure and functionality of our internal databasesMaintain and build tools to assist our research teams in updating, organizing and expanding existing database contentNavigate client roadblocks that slow down projectsProactively report to internal team and clients on overall progress, potential issues, areas of potential improvement, etc.QualificationsBachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)At least 1 - 2 years' of experience in quantitative analytics or data modelingDeep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithmsFluency in a programming language (Python, C,C++, Java, SQL)Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)",Mid-Senior level,Data Scientist
+994,2025-04-02,New York,NY,FanDuel,https://www.fanduel.careers/,"FanDuel Group is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the North America, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media, including FanDuel, Stardust Casino and TVG. 
+
+The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
+
+Learn more about what we do at:
+
+https://www.fanduel.com/about
+https://twitter.com/FanDuel
+https://twitter.com/FDsportsbook
+https://twitter.com/FanDuelCasino
+https://www.facebook.com/fanduel/
+https://www.instagram.com/fanduel/
+https://instagram.com/FDsportsbook/
+https://www.youtube.com/FanDuel","About FanduelFanDuel Group is the premier mobile gaming company in the United States. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states and Puerto Rico.The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).THE POSITIONOur roster has an opening with your name on itWe’re looking for passionate technologists, strong communicators, and those with a commitment to continuous improvement. The ideal candidate will have the confidence to propose pragmatic solutions to complex problems and be eager to learn from and educate others. As a Software Engineer (Front End) you will work in empowered, multidisciplinary teams, autonomously tackling complex challenges that provide the very best experiences and products for a growing community of millions of players.You use technology to solve straightforward problems, seeking input and guidance from team members. You may create or have responsibility to improve or invent small tools or applications. You can take defined design and turn it into code and deliver it on schedule, applying appropriate technologies and current software engineering best practices. You write secure, stable, testable, maintainable code with minimal defects. You are proficient in a broad range of data structures and algorithms, knowing when it is appropriate to use them and when it is not. You make appropriate implementation trade-off decisions. You participate in team design, scoping and prioritization discussions. You seek to learn the business context and technologies behind your team's software. You work effectively with other team members & identify any opportunities/problems arising from technical decisions. You invent, refine and develop your solutions to ensure they are meeting customer needs and team goals. You are a passionate advocate for your customer.Our Responsible Gaming team's mission is to create a best-in-class regulatory experience for our customers. We do this by working with internal stakeholders and our Regulatory Partners to build scalable, flexible solutions to satisfy regulatory requirements in jurisdictions across the US and Canada. We strive to build internal tools that have clear contracts and are easy to integrate with to enable teams across FanDuel’s portfolio.THE GAME PLANEveryone on our team has a part to playYou own parts of product and technology & strive to become a subject matter expert. You write simple and extendable code following standards and best practices. You test your code thoroughly.I write code that captures the essential nature of the solution and is appropriately flexible, reusable, efficient, and adaptable to changing requirements.I ensure high code quality in code reviews. I adopt approaches (e.g. set up best practices and coding standards, help resolve differences of opinions) to foster an effective/collaborative code review culture.I am able to independently design software components in well scoped scenarios, with simplicity and maintenance as key considerations. My components are testable, debuggable and have logical APIs that are not easily misused.I know when to make significant refactors and when it’s better to leave things as-is.You help your team evolve by actively participating in the code review process, design discussions, team planning, and support ticket reviews. You clearly document your software to ensure that future generations of developers understand the intention behind the features and components you build.In the event of a problem, you can troubleshoot and thoroughly resolve defects.You provide excellent customer support.Most importantly, you are humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce THE STATSWhat we're looking for in our next teammateBA/BS degree in Computer Science or related software engineering field, or equivalent practical experience. 2+ years of relevant work experience.Experience and passion in building web apps using React (JavaScript or TypeScript) or hybrid apps using React native, or similar (Angular/Vue)Good grasp on relational, non-relational databases, messaging queues and handling concurrencyUnderstanding of modern architectures, design patterns, and platform nuancesKnowledge of release process best practices for APIs and services within production systemsExperience working with cloud-based infrastructure and technologies, preferably AWS.Experience with testing concepts, test tools, and integrating testing and best practices in the SDLCStrong sense of ownership, urgency, and drive.Familiarity working in an Agile environmentPassion for working within a fast-paced environment and can adapt to changePlayer BenefitsWe treat our team rightWe offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.The applicable salary range for this position is $116,000 - $145,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.",Director,Software Engineer - React
+995,2025-04-01,Mountain View,CA,"X, The Moonshot Factory",https://x.company,"We create breakthrough technologies to help solve some of the world’s biggest problems. Born at Google, we got our start creating self-driving cars and smart glasses. Since then, we’ve continued to bring sci-fi ideas into reality. ","About The TeamTapestry, is X’s moonshot for the electric grid. We are a team of software engineers, power systems experts and clean energy geeks who are impatient to tackle climate change head on through our energy system. Tapestry is on a mission to make the world’s electric grid visible so everyone, everywhere can access clean, affordable and reliable energy. We are working with partners around the world to create AI powered tools that will help everyone who works with the grid build and manage a carbon-free and secure electricity system.Currently incubating at X, Alphabet’s innovation lab, we are now building the team that will scale Tapestry for more global impact. We are looking for people who are passionate about revolutionizing the energy sector to join us at this critical growth stage. You’ll have the chance to be part of a rapidly growing team that has the agility and impact of an early stage company, while building on world-class technology created at Alphabet. Learn more about Tapestry here.About The RoleAs an applied ML and data pipelines software engineer, you will own end-to-end development of breakthrough technologies that rely heavily on machine learning. You will work with amazing and talented people, who work on highly creative and ambitious efforts. You will work closely with other software engineers, machine learning experts, domain experts, and product managers to plan, coordinate, and integrate your work.How You Will Make 10X ImpactExplore, apply, and innovate state-of-the-art machine learning techniques to solve real-world problems on the electric gridExplore and de-risk novel technologies to extract data from unlikely sourcesLead the design and implementation of ML data platforms and service frameworksDesign and implement robust, automated, production-level software using horizontally scalable componentsWork effectively with cross-functional teams of engineers, product managers, and domain expertsProvide direction and focus in areas of high ambiguityWhat You Should HaveBachelors/Masters in Computer Science, or equivalent practical experienceExperience applying machine learning for computer vision/image processing or time-series forecasting; will also consider DL experience with geospatial data, graph data5-8 years of experience with developing ML models, or a PhD degree in a relevant field with 2+ years of industry experience 3 years of experience with Python, Golang, or other equivalent languagesExcellent written and verbal communication skillsA passion for decarbonizing the electric gridIt’d Be Great If You Had These2 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architectureExperience with building data pipelines (e.g. Beam, Dataflow, Flink, Hadoop, Spark)Prior experience in ML modeling using TensorFlow, Pytorch or Jax/FlaxConsistent track record of delivering high quality solutions to large, complex software problemsPrior experience with setting the technical direction for small groups of engineersExperience working in a start-up like environmentsThe US base salary range for this full-time position is $160,000 - $220,000 + bonuses + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits.",Mid-Senior level,"Machine Learning Engineer, Tapestry"
+996,2025-02-03,Watertown,Massachusetts,Tutor Intelligence,https://tutorintelligence.com/,"Tutor Intelligence is a full-service robotics and automation provider built to serve contract packagers. We partner with the world's largest 3PLs to automate what has stumped the industry for decades: short-run packaging and post-packaging where SKUs, patterns, orders, and volumes are constantly changing.","The Company:Tutor Intelligence is a startup building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes, and we’re combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. We’re seeking the thinkers, builders, and researchers who can help us responsibly deliver the future of automation.The Role:In this role you will close the loop between human instruction and robot automation. Models you create will be deployed to robots out in the field, in a tight feedback loop controlled by you. You will create and improve deep learning models such as CNNs, build a cloud-based data and model training platform, and find ways to help our robots optimize for speed and accuracy.For this role, we seek a pragmatic and competent engineer with domain expertise in computer vision and robotics, and a drive to proliferate robotic technologies.At Tutor, engineering is inherently cross-disciplinary and collaborative. We seek someone with a diverse background across the robotics stack, including anything from full stack web-dev to mechanical engineering.Our Culture:We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We work collaboratively on just about everything we do - nobody has the full story, but we are all trying to, and need to work together to maximize our robots performance.Responsibilities:Train, fine tune, and deploy visual and language foundation models across our stackManage data in databases and optimize the flow of information from our robots to maximize machine learning potentialSkills NeededKnowledge of machine learning models, particularly visual models with an emphasis on recent advanced models such as SAM, DINO, etcStrong software skillsFull stack knowledge, ability to not only work on machine learning models in python but also to spin up inference infrastructure, web ui, and perform database operationsGeneral robotics knowledge & experience",Not Applicable,Robotics Machine Learning Engineer
diff --git a/week4_scikit_learn.ipynb b/week4_scikit_learn.ipynb
new file mode 100644
index 0000000..9aab00e
--- /dev/null
+++ b/week4_scikit_learn.ipynb
@@ -0,0 +1,509 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d44b76a1-962a-4a09-91d5-74f1fbefb88f",
+   "metadata": {},
+   "source": [
+    "Цель задачи:\n",
+    "Сравнить качество различных алгоритмов классификации (SVM, KNN, Decision Tree, Random Forest, Logistic Regression):\n",
+    "\n",
+    "На синтетическом датасете, сгенерированном с помощью make_blobs.\n",
+    "\n",
+    "На реальном датасете с openml.org (SMS Spam Collection)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "dec9f4c6-3bc5-4dd1-b11e-85fe059751ce",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00         9\n",
+      "           1       1.00      1.00      1.00        10\n",
+      "           2       1.00      1.00      1.00        11\n",
+      "\n",
+      "    accuracy                           1.00        30\n",
+      "   macro avg       1.00      1.00      1.00        30\n",
+      "weighted avg       1.00      1.00      1.00        30\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.datasets import load_iris\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.neural_network import MLPClassifier\n",
+    "from sklearn.metrics import classification_report\n",
+    "\n",
+    "# Загрузка и разбиение данных\n",
+    "X, y = load_iris(return_X_y=True)\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
+    "\n",
+    "# Модель MLP — многослойный перцептрон\n",
+    "clf = MLPClassifier(hidden_layer_sizes=(10,), activation='relu', max_iter=2500)\n",
+    "clf.fit(X_train, y_train)\n",
+    "\n",
+    "# Отчёт о точности\n",
+    "print(classification_report(y_test, clf.predict(X_test)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b8718927-08f3-4d35-b163-d31bc7a8ce7d",
+   "metadata": {},
+   "source": [
+    "Импорт необходимых библиотек"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "619b3507-5dc9-4581-b5b7-a2dc21e2656a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.datasets import make_blobs\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.pipeline import make_pipeline\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.svm import SVC\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "from sklearn.metrics import accuracy_score, classification_report\n",
+    "from sklearn.preprocessing import LabelEncoder\n",
+    "from sklearn.naive_bayes import MultinomialNB\n",
+    "from sklearn.svm import LinearSVC\n",
+    "from sklearn.preprocessing import LabelEncoder\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d112584d-4642-4eea-9d47-c1310a7be009",
+   "metadata": {},
+   "source": [
+    "2. Синтетический датасет: make_blobs"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aecc83be-209a-4f5c-aaf1-32ea571f0820",
+   "metadata": {},
+   "source": [
+    "2.1 Создание и визуализация данных"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "39d5b664-ee7d-444d-b964-fd3b90d8a396",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Создаём 3 кластера\n",
+    "X, y = make_blobs(centers=3, cluster_std=0.5, random_state=0)\n",
+    "\n",
+    "# Визуализация\n",
+    "plt.scatter(X[:, 0], X[:, 1], c=y, cmap='viridis')\n",
+    "plt.title(\"Three normally-distributed clusters\")\n",
+    "plt.xlabel(\"Feature 1\")\n",
+    "plt.ylabel(\"Feature 2\")\n",
+    "plt.grid(True)\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ea44ff0d-c2ef-47af-b589-55beb44d5787",
+   "metadata": {},
+   "source": [
+    "2.2 Деление на train/test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "fc2711a3-dbb6-48ab-8e4a-06b280675f23",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0d23f0b7-37e1-4644-ae01-7ee8e1674658",
+   "metadata": {},
+   "source": [
+    "3. Обучение моделей"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "f1baafd9-b282-4c2f-ad6f-8c2473bd29e7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Logistic Regression:\n",
+      "Accuracy: 1.000\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        14\n",
+      "           1       1.00      1.00      1.00        10\n",
+      "           2       1.00      1.00      1.00         6\n",
+      "\n",
+      "    accuracy                           1.00        30\n",
+      "   macro avg       1.00      1.00      1.00        30\n",
+      "weighted avg       1.00      1.00      1.00        30\n",
+      "\n",
+      "\n",
+      "SVM:\n",
+      "Accuracy: 1.000\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        14\n",
+      "           1       1.00      1.00      1.00        10\n",
+      "           2       1.00      1.00      1.00         6\n",
+      "\n",
+      "    accuracy                           1.00        30\n",
+      "   macro avg       1.00      1.00      1.00        30\n",
+      "weighted avg       1.00      1.00      1.00        30\n",
+      "\n",
+      "\n",
+      "KNN:\n",
+      "Accuracy: 1.000\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00        14\n",
+      "           1       1.00      1.00      1.00        10\n",
+      "           2       1.00      1.00      1.00         6\n",
+      "\n",
+      "    accuracy                           1.00        30\n",
+      "   macro avg       1.00      1.00      1.00        30\n",
+      "weighted avg       1.00      1.00      1.00        30\n",
+      "\n",
+      "\n",
+      "Decision Tree:\n",
+      "Accuracy: 0.967\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      0.93      0.96        14\n",
+      "           1       1.00      1.00      1.00        10\n",
+      "           2       0.86      1.00      0.92         6\n",
+      "\n",
+      "    accuracy                           0.97        30\n",
+      "   macro avg       0.95      0.98      0.96        30\n",
+      "weighted avg       0.97      0.97      0.97        30\n",
+      "\n",
+      "\n",
+      "Random Forest:\n",
+      "Accuracy: 0.967\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      0.93      0.96        14\n",
+      "           1       1.00      1.00      1.00        10\n",
+      "           2       0.86      1.00      0.92         6\n",
+      "\n",
+      "    accuracy                           0.97        30\n",
+      "   macro avg       0.95      0.98      0.96        30\n",
+      "weighted avg       0.97      0.97      0.97        30\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "models = {\n",
+    "    \"Logistic Regression\": LogisticRegression(max_iter=1000),\n",
+    "    \"SVM\": SVC(),\n",
+    "    \"KNN\": KNeighborsClassifier(),\n",
+    "    \"Decision Tree\": DecisionTreeClassifier(),\n",
+    "    \"Random Forest\": RandomForestClassifier()\n",
+    "}\n",
+    "\n",
+    "for name, model in models.items():\n",
+    "    clf = make_pipeline(StandardScaler(), model)\n",
+    "    clf.fit(X_train, y_train)\n",
+    "    y_pred = clf.predict(X_test)\n",
+    "    print(f\"\\n{name}:\\nAccuracy: {accuracy_score(y_test, y_pred):.3f}\")\n",
+    "    print(classification_report(y_test, y_pred))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3614904f-d3d1-40e5-9ad6-f308117c2a7f",
+   "metadata": {},
+   "source": [
+    "4. Интерпретация (синтетические данные)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc315f20-878e-4629-8154-5977fd88427f",
+   "metadata": {},
+   "source": [
+    "### Интерпретация результатов\n",
+    "\n",
+    "- Данные хорошо разделимы, поэтому все модели показывают высокую точность.\n",
+    "- KNN, Logistic Regression и SVM — самые точные на таких кластерах.\n",
+    "- Decision Tree и Random Forest работают тоже хорошо, но могут переобучаться на простых данных.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4c25059-3ee5-49a2-8b1a-3d6c5af8ff98",
+   "metadata": {},
+   "source": [
+    "5. Реальный датасет из openml.org (SMS Spam Collection)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "895c0577-7e18-42fb-9dae-c89977b6f7c8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Уникальные уровни должностей: ['Internship' 'Mid-Senior level' 'Entry level' 'Not Applicable'\n",
+      " 'Associate' 'Executive' 'Director']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Загрузка файла\n",
+    "df = pd.read_csv(\"1000_ml_jobs_us.csv\")\n",
+    "\n",
+    "# Посмотреть первые строки\n",
+    "df.head()\n",
+    "\n",
+    "# Оставим только строки с непустыми job_description_text и seniority_level\n",
+    "df = df[['job_description_text', 'seniority_level']].dropna()\n",
+    "\n",
+    "# Отображаем уникальные уровни\n",
+    "print(\"Уникальные уровни должностей:\", df['seniority_level'].unique())\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "17edbf86-7b62-4161-90c9-7e2e0272b99c",
+   "metadata": {},
+   "source": [
+    "Препроцессинг текстов и меток"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "27e1ef0a-f61b-4bab-b5ac-b86e7c9c86d8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Целевая переменная\n",
+    "y = df['seniority_level']\n",
+    "\n",
+    "# Кодирование уровней должности\n",
+    "le = LabelEncoder()\n",
+    "y_encoded = le.fit_transform(y)\n",
+    "\n",
+    "# Векторизация текстов\n",
+    "vectorizer = TfidfVectorizer(max_features=3000, stop_words='english')\n",
+    "X = vectorizer.fit_transform(df['job_description_text'])\n",
+    "\n",
+    "# Делим на обучающую и тестовую выборки\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y_encoded, test_size=0.3, random_state=42)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc7af45c-059c-4433-b919-a0ea78c39b12",
+   "metadata": {},
+   "source": [
+    "Обучение моделей и сравнение"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "c620989d-5832-42fe-956f-74b7cd996d30",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Результаты классификации (1000_ml_jobs_us.csv):\n",
+      "Logistic Regression: Accuracy = 0.57\n",
+      "Multinomial NB: Accuracy = 0.52\n",
+      "Random Forest: Accuracy = 0.60\n",
+      "Linear SVM: Accuracy = 0.60\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Обновим классификаторы (теперь подходят для разреженных данных)\n",
+    "text_classifiers = {\n",
+    "    \"Logistic Regression\": LogisticRegression(max_iter=1000),\n",
+    "    \"Multinomial NB\": MultinomialNB(),\n",
+    "    \"Random Forest\": RandomForestClassifier(),\n",
+    "    \"Linear SVM\": LinearSVC()\n",
+    "}\n",
+    "\n",
+    "# Обучение и вывод результатов\n",
+    "print(\"Результаты классификации (1000_ml_jobs_us.csv):\")\n",
+    "for name, clf in text_classifiers.items():\n",
+    "    clf.fit(X_train, y_train)\n",
+    "    y_pred = clf.predict(X_test)\n",
+    "    acc = accuracy_score(y_test, y_pred)\n",
+    "    print(f\"{name}: Accuracy = {acc:.2f}\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "88c57a6b-5cd9-41ee-a2d6-e14ab99f6b3c",
+   "metadata": {},
+   "source": [
+    "Интерпретация результатов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "66677a13-6d22-4cd7-8895-85c151ff93ad",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Классы в кодировщике: ['Associate' 'Director' 'Entry level' 'Executive' 'Internship'\n",
+      " 'Mid-Senior level' 'Not Applicable']\n",
+      "Уникальные классы в тесте: [0 1 2 4 5 6]\n",
+      "\n",
+      "Classification report (Logistic Regression):\n",
+      "                  precision    recall  f1-score   support\n",
+      "\n",
+      "       Associate       0.00      0.00      0.00        14\n",
+      "        Director       0.00      0.00      0.00         2\n",
+      "     Entry level       0.47      0.58      0.52        86\n",
+      "      Internship       1.00      0.35      0.51        26\n",
+      "Mid-Senior level       0.52      0.71      0.60       110\n",
+      "  Not Applicable       0.97      0.54      0.70        59\n",
+      "\n",
+      "        accuracy                           0.57       297\n",
+      "       macro avg       0.49      0.36      0.39       297\n",
+      "    weighted avg       0.61      0.57      0.56       297\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\учеба\\2 курс\\семестр4\\praktika 4\\venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
+      "D:\\учеба\\2 курс\\семестр4\\praktika 4\\venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
+      "D:\\учеба\\2 курс\\семестр4\\praktika 4\\venv\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Подробный отчёт по лучшей модели (Logistic Regression)\n",
+    "best_model = LogisticRegression(max_iter=1000)\n",
+    "best_model.fit(X_train, y_train)\n",
+    "y_pred = best_model.predict(X_test)\n",
+    "\n",
+    "# Используем ПРЕДВАРИТЕЛЬНО ОБУЧЕННЫЙ LabelEncoder (из шага препроцессинга)\n",
+    "# Убедимся, что используем тот же экземпляр, который кодировал y\n",
+    "print(\"\\nКлассы в кодировщике:\", le.classes_)\n",
+    "\n",
+    "# Проверим уникальные классы в тестовых данных\n",
+    "unique_labels = np.unique(np.concatenate([y_test, y_pred]))\n",
+    "print(\"Уникальные классы в тесте:\", unique_labels)\n",
+    "\n",
+    "# Генерируем отчёт только для присутствующих классов\n",
+    "print(\"\\nClassification report (Logistic Regression):\")\n",
+    "print(classification_report(\n",
+    "    y_test,\n",
+    "    y_pred,\n",
+    "    labels=unique_labels,\n",
+    "    target_names=le.classes_[unique_labels]  # Берём только нужные имена\n",
+    "))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d8906a44-1e2f-4392-ae4a-2b3ee1538df8",
+   "metadata": {},
+   "source": [
+    "6. Интерпретация результатов\n",
+    "Random Forest и Logistic Regression показали лучшие результаты на изображениях.\n",
+    "\n",
+    "KNN оказался медленным на таком объеме данных, но может быть эффективен после отбора признаков.\n",
+    "\n",
+    "LinearSVC работает быстро, но может потребовать настройки регуляризации для повышения точности.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "85385781-29ae-4fe1-ac42-8c64a75b6af3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}